<?xml version="1.0" encoding="UTF-8"?>
<codeBook version="1.2.2" ID="NER_1992_DHS_v01_M_v02_A_IPUMS" xml-lang="en" xmlns="http://www.icpsr.umich.edu/DDI" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.icpsr.umich.edu/DDI http://www.icpsr.umich.edu/DDI/Version1-2-2.xsd">
<docDscr>
  <citation>
    <titlStmt>
      <IDNo>DDI_NER_1992_DHS_v01_M_v02_A_IPUMS</IDNo>
    </titlStmt>
    <prodStmt>
      <producer abbr="MPC" affiliation="University of Minnesota" role="Integration Harmonization Documentation">Minnesota Population Center</producer>
      <prodDate date="September 25, 2019">September 25, 2019</prodDate>
      <software version="v5">NADA</software>
    </prodStmt>
    <verStmt>
      <version>DDI Document version - Version 02 (March 2020)
 This version is identical to IPUMS Version 7 except for the following fields that were edited by World Bank: DDI ID and Study ID - adaptation version number changed to v02 as this is the subsequent DHS-IPUMS adaptation in World Bank catalog.

Version 7 . Documentation of Demographic Household Survey data and harmonized variables as found in IPUMS-DHS.
IPUMS has distribution rights to the metadata and data. The XML documents generated by this process are viewed as a distribution of the metadata.
 Fields edited for the World Bank are: DDI ID and study ID to match World Bank study naming convention, as well as DDI Document Version and Version Description to reflect changed included in version 7.
 Variable ID's and names were changed to add the prefix W_, C_, B_, M_, or H_ to indicate file source as Woman, Child, Birth, Man, or Household Member respectively. This was done to create unique variable IDs and names within the file. These prefixes are not found in the IPUMS-DHS system. Original extract version date 2019-9-25. DDI metadata revised to add DOI number to stdyDscr/notes and correct assignment of variables to record types.
 All non-ANSI_Latin characters have been replaced.''</version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>Demographic and Health Survey 1992 - IPUMS Subset</titl>
      <subTitl/>
      <altTitl>DHS 1992 (IPUMS Harmonized Subset)</altTitl>
      <parTitl/>
      <IDNo>NER_1992_DHS_v01_M_v02_A_IPUMS</IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty affiliation="">Direction de la Statistique et des Comptes Nationaux, Direction Générale du Plan, Ministère des Finances et du Plan [Niger] and Macro International Inc.</AuthEnty>
      <AuthEnty affiliation="University of Minnesota">Minnesota Population Center</AuthEnty>
    </rspStmt>
    <prodStmt>
      <copyright>(c) Copyright , Direction de la Statistique et des Comptes Nationaux, Direction Générale du Plan, Ministère des Finances et du Plan [Niger] and Macro International Inc. and Minnesota Population Center</copyright>
      <software version="5.0" date="2021-12-15">NADA</software>
      <grantNo/>
    </prodStmt>
    <distStmt>
      <contact affiliation="" URI="" email="">Direction de la Statistique et des Comptes Nationaux, Direction Générale du Plan, Ministère des Finances et du Plan [Niger] and Macro International Inc.</contact>
      <depDate date=""/>
      <distDate date=""/>
    </distStmt>
    <serStmt>
      <serName>Demographic and Health Survey [hh/dhs]</serName>
      <serInfo/>
    </serStmt>
    <verStmt>
      <version date="September 2019">Version 7. The datasets contain selected variables from the original microdata plus harmonized variables from the IPUMS-DHS database.</version>
      <verResp/>
      <notes/>
    </verStmt>
    <biblCit format=""/>
    <notes/>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
      <topcClas vocab="IPUMS" vocabURI="">Agricultural possessions Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Agricultural Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Breastfeeding and infant feeding Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Child antenatal care, general Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Child anthropometry Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Child delivery care, general Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Child demography core Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Child feeding, general Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Child health postpartum Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Child respiratory illness or fever Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Child respiratory illness, treatment Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Child's breastfeeding Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Child vaccination, general Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Core demographic Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Days child fed foods in past week Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Diarrhea, general Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Diarrhea, treatment Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Discussion of family planning Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">DPT-HB-Hib vaccinations Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Education Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Environmental Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Ethnicity and religion Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Ever use of family planning Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Female anthropometry Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Female biometrics, general Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Fertility Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">First or ever sexual experience Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">First use of family planning Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Foods fed child in past 24 hours Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Future use of family planning Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">General family planning Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">General maternal and infant health Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">General technical Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Geography, general Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Household demographic Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Housing Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Identifiers Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Information on family planning Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Integrated geography Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Knowledge of family planning Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Marriage and cohabitation Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Maternal antenatal care, general Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Maternal delivery care, general Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Measles vaccinations Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Media exposure Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Migration Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">ORS treatment Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Other vaccinations Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Place for diarrhea treatment, CS Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Place for diarrhea treatment, general Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Polio vaccinations Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Possessions Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Recent sexual experience Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Recent use of family planning Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Single sample geography Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Social Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Source for respiratory treatment, CS Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Source for respiratory treatment, general Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Source of information on family planning Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Sterilization Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Survey dates Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Toilet and water Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Type of family planning method Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Weights and subsample selection Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Why not use family planning Variables -- TOPICS</topcClas>
      <topcClas vocab="IPUMS" vocabURI="">Work Variables -- TOPICS</topcClas>
    </subject>
    <abstract/>
    <sumDscr>
      <timePrd date="1992" event="start" cycle=""/>
      <timePrd date="1992" event="end" cycle=""/>
      <collDate date="1992" event="start" cycle=""/>
      <collDate date="1992" event="end" cycle=""/>
      <nation abbr="NER">Niger</nation>
      <geogCover/>
      <geogUnit/>
      <anlyUnit>Woman, Birth, Child, Man, Member</anlyUnit>
      <universe>Women age 15-49, Births, Children age 0-4, Husbands of women age 15-49, All persons</universe>
      <dataKind>Demographic and Household Survey [hh/dhs]</dataKind>
    </sumDscr>
    <!-- qualityStatement - ddi2.5 - complex type
     
     This structure consists of two parts, standardsCompliance and otherQualityStatements. 
     In standardsCompliance list all specific standards complied with during the execution of this 
     study. Note the standard name and producer and how the study complied with the standard. 
     Enter any additional quality statements in otherQualityStatements.
     
     -->
    <qualityStatement>
      <standardsCompliance>
        <standard>
          <standardName/>
          <producer/>
        </standard>
        <complianceDescription/>
      </standardsCompliance>
      <otherQualityStatement/>
    </qualityStatement>
    <notes/>
    <!-- exPostEvaluation ddi2.5
      Use this section to describe evaluation procedures not address in data evaluation processes. 
      These may include issues such as timing of the study, sequencing issues, cost/budget issues, 
      relevance, instituional or legal arrangments etc. of the study. 
      
      The completionDate attribute holds the date the evaluation was completed. 
      The type attribute is an optional type to identify the type of evaluation with or without 
      the use of a controlled vocabulary.
    -->
    <exPostEvaluation completionDate="" type="">
      <evaluationProcess/>
      <outcomes/>
    </exPostEvaluation>
  </stdyInfo>
  <method>
    <dataColl>
      <timeMeth/>
      <!-- collectorTraining - DDI2.5
        
        Collector Training

        Describes the training provided to data collectors including internviewer training, process testing, 
        compliance with standards etc. This is repeatable for language and to capture different aspects of the 
        training process. The type attribute allows specification of the type of training being described.
        
        -->
      <collectorTraining type=""/>
      <frequenc/>
      <sampProc>MICRODATA SOURCE: Direction de la Statistique et des Comptes Nationaux, Direction Générale du Plan, Ministère des Finances et du Plan [Niger] and Macro International Inc.

SAMPLE UNIT: Woman
SAMPLE SIZE: 6503

SAMPLE UNIT: Birth
SAMPLE SIZE: 23841

SAMPLE UNIT: Child
SAMPLE SIZE: 6899

SAMPLE UNIT: Man
SAMPLE SIZE: 1570

SAMPLE UNIT: Member
SAMPLE SIZE: 34297</sampProc>
      <sampleFrame>
        <sampleFrameName/>
        <custodian/>
        <universe/>
        <frameUnit isPrimary="">
          <unitType numberOfUnits=""/>
        </frameUnit>
        <updateProcedure/>
      </sampleFrame>
      <deviat/>
      <collMode>Face-to-face [f2f]</collMode>
      <resInstru/>
      <!-- instrumentDevelopment - DDI2.5             
        Describe any development work on the data collection instrument. Type attribute allows for the optional use of a defined development type with or without use of a controlled vocabulary.
        -->
      <instrumentDevelopment type=""/>
      <collSitu/>
      <actMin/>
      <ConOps/>
      <weight/>
      <cleanOps/>
    </dataColl>
    <notes/>
    <anlyInfo>
      <respRate/>
      <EstSmpErr/>
      <dataAppr/>
    </anlyInfo>
    <stdyClas/>
    <dataProcessing type=""/>
    <codingInstructions relatedProcesses="" type="">
      <txt/>
      <command formalLanguage=""/>
    </codingInstructions>
  </method>
  <dataAccs>
    <setAvail>
      <accsPlac URI=""/>
      <origArch/>
      <avlStatus/>
      <collSize/>
      <complete/>
      <fileQnty/>
      <notes/>
    </setAvail>
    <useStmt>
      <confDec required="no" formNo="" URI="">None</confDec>
      <restrctn/>
      <contact affiliation="" URI="" email="">Direction de la Statistique et des Comptes Nationaux, Direction Générale du Plan, Ministère des Finances et du Plan [Niger] and Macro International Inc.</contact>
      <citReq>Publications and research reports based on the IPUMS-DHS database must cite it appropriately. The citation should include the following:

Elizabeth Heger Boyle, Miriam King and Matthew Sobek. IPUMS-Demographic and Health Surveys: Version 7 [dataset]. Minnesota Population Center and ICF, 2019. https://doi.org/10.18128/D080.V7

Researchers should also acknowledge the originally produced the data: Direction de la Statistique et des Comptes Nationaux, Direction Générale du Plan, Ministère des Finances et du Plan [Niger] and Macro International Inc. Niger Demographic and Health Survey 1992 [Dataset]. Data Extract from NIIR22.SAV, NIHR22.SAV, NIKR22.SAV, NIBR22.SAV, NIMR21.SAV, and NIPR22.SAV. IPUMS Demographic and Health Surveys (IPUMS DHS), version 7, IPUMS and ICF [Distributors]. Accessed from http://idhsdata.org on DATE.

The licensing agreement for use of IPUMS-DHS data requires that users supply us with the title and full citation for any publications, research reports, or educational materials making use of the data or documentation. Please add your citation to the IPUMS bibliography at http://bibliography.ipums.org/.</citReq>
      <deposReq/>
      <conditions>Users of IPUMS-DHS data must agree to abide by the access restrictions and terms of use set forth by the DHS Program: https://dhsprogram.com/data/Access-Instructions.cfm</conditions>
      <disclaimer>The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.</disclaimer>
    </useStmt>
    <notes/>
  </dataAccs>
  <notes/>
</stdyDscr>
<fileDscr ID="B">
  <fileTxt>
    <fileName>NER1992-B.dat</fileName>
    <fileCont>Birth records</fileCont>
    <dimensns>
      <caseQnty>23841</caseQnty>
      <varQnty></varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="C">
  <fileTxt>
    <fileName>NER1992-C.dat</fileName>
    <fileCont>Child records</fileCont>
    <dimensns>
      <caseQnty>6899</caseQnty>
      <varQnty></varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="H">
  <fileTxt>
    <fileName>NER1992-H.dat</fileName>
    <fileCont>Household member records</fileCont>
    <dimensns>
      <caseQnty>34297</caseQnty>
      <varQnty></varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="M">
  <fileTxt>
    <fileName>NER1992-M.dat</fileName>
    <fileCont>Man records</fileCont>
    <dimensns>
      <caseQnty>1570</caseQnty>
      <varQnty></varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<fileDscr ID="W">
  <fileTxt>
    <fileName>NER1992-W.dat</fileName>
    <fileCont>Woman records</fileCont>
    <dimensns>
      <caseQnty>6503</caseQnty>
      <varQnty></varQnty>
    </dimensns>
    <dataChck></dataChck>
    <dataMsng></dataMsng>
    <verStmt>
      <version></version>
    </verStmt>
  </fileTxt>
  <notes></notes>
</fileDscr>
<dataDscr>
<var ID="W_SAMPLE" name="W_SAMPLE" files="W" intrvl="discrete">
  <labl>IPUMS-DHS sample identifier</labl>
  <imputation>IPUMS-DHS sample identifier</imputation>
  <security>IPUMS-DHS sample identifier</security>
  <embargo>IPUMS-DHS sample identifier</embargo>
  <respUnit>IPUMS-DHS sample identifier</respUnit>
  <catgry>
    <catValu>00101</catValu>
    <labl>Model 2015</labl>
  </catgry>
  <catgry>
    <catValu>00401</catValu>
    <labl>Afghanistan 2015</labl>
  </catgry>
  <catgry>
    <catValu>02401</catValu>
    <labl>Angola 2015</labl>
  </catgry>
  <catgry>
    <catValu>05001</catValu>
    <labl>Bangladesh 1994</labl>
  </catgry>
  <catgry>
    <catValu>05002</catValu>
    <labl>Bangladesh 1996-97</labl>
  </catgry>
  <catgry>
    <catValu>05003</catValu>
    <labl>Bangladesh 1999-00</labl>
  </catgry>
  <catgry>
    <catValu>05004</catValu>
    <labl>Bangladesh 2004</labl>
  </catgry>
  <catgry>
    <catValu>05005</catValu>
    <labl>Bangladesh 2007</labl>
  </catgry>
  <catgry>
    <catValu>05006</catValu>
    <labl>Bangladesh 2011</labl>
  </catgry>
  <catgry>
    <catValu>05007</catValu>
    <labl>Bangladesh 2014</labl>
  </catgry>
  <catgry>
    <catValu>10401</catValu>
    <labl>Myanmar 2015</labl>
  </catgry>
  <catgry>
    <catValu>10801</catValu>
    <labl>Burundi 1987</labl>
  </catgry>
  <catgry>
    <catValu>10802</catValu>
    <labl>Burundi 2010</labl>
  </catgry>
  <catgry>
    <catValu>10803</catValu>
    <labl>Burundi 2016</labl>
  </catgry>
  <catgry>
    <catValu>11601</catValu>
    <labl>Cambodia 2000</labl>
  </catgry>
  <catgry>
    <catValu>11602</catValu>
    <labl>Cambodia 2005</labl>
  </catgry>
  <catgry>
    <catValu>11603</catValu>
    <labl>Cambodia 2010</labl>
  </catgry>
  <catgry>
    <catValu>11604</catValu>
    <labl>Cambodia 2014</labl>
  </catgry>
  <catgry>
    <catValu>12001</catValu>
    <labl>Cameroon 1991</labl>
  </catgry>
  <catgry>
    <catValu>12002</catValu>
    <labl>Cameroon 1998</labl>
  </catgry>
  <catgry>
    <catValu>12003</catValu>
    <labl>Cameroon 2004</labl>
  </catgry>
  <catgry>
    <catValu>12004</catValu>
    <labl>Cameroon 2011</labl>
  </catgry>
  <catgry>
    <catValu>14801</catValu>
    <labl>Chad 1996-97</labl>
  </catgry>
  <catgry>
    <catValu>14802</catValu>
    <labl>Chad 2004</labl>
  </catgry>
  <catgry>
    <catValu>14803</catValu>
    <labl>Chad 2014</labl>
  </catgry>
  <catgry>
    <catValu>18001</catValu>
    <labl>Congo Democratic Republic 2007</labl>
  </catgry>
  <catgry>
    <catValu>18002</catValu>
    <labl>Congo Democratic Republic 2013-14</labl>
  </catgry>
  <catgry>
    <catValu>20401</catValu>
    <labl>Benin 1996</labl>
  </catgry>
  <catgry>
    <catValu>20402</catValu>
    <labl>Benin 2001</labl>
  </catgry>
  <catgry>
    <catValu>20403</catValu>
    <labl>Benin 2006</labl>
  </catgry>
  <catgry>
    <catValu>20404</catValu>
    <labl>Benin 2011</labl>
  </catgry>
  <catgry>
    <catValu>23101</catValu>
    <labl>Ethiopia 2000</labl>
  </catgry>
  <catgry>
    <catValu>23102</catValu>
    <labl>Ethiopia 2005</labl>
  </catgry>
  <catgry>
    <catValu>23103</catValu>
    <labl>Ethiopia 2011</labl>
  </catgry>
  <catgry>
    <catValu>23104</catValu>
    <labl>Ethiopia 2016</labl>
  </catgry>
  <catgry>
    <catValu>28801</catValu>
    <labl>Ghana 1988</labl>
  </catgry>
  <catgry>
    <catValu>28802</catValu>
    <labl>Ghana 1993</labl>
  </catgry>
  <catgry>
    <catValu>28803</catValu>
    <labl>Ghana 1998</labl>
  </catgry>
  <catgry>
    <catValu>28804</catValu>
    <labl>Ghana 2003</labl>
  </catgry>
  <catgry>
    <catValu>28805</catValu>
    <labl>Ghana 2008</labl>
  </catgry>
  <catgry>
    <catValu>28806</catValu>
    <labl>Ghana 2014</labl>
  </catgry>
  <catgry>
    <catValu>32001</catValu>
    <labl>Guatemala 1987</labl>
  </catgry>
  <catgry>
    <catValu>32002</catValu>
    <labl>Guatemala 1995</labl>
  </catgry>
  <catgry>
    <catValu>32003</catValu>
    <labl>Guatemala 2015</labl>
  </catgry>
  <catgry>
    <catValu>32401</catValu>
    <labl>Guinea 1999</labl>
  </catgry>
  <catgry>
    <catValu>32402</catValu>
    <labl>Guinea 2005</labl>
  </catgry>
  <catgry>
    <catValu>32403</catValu>
    <labl>Guinea 2012</labl>
  </catgry>
  <catgry>
    <catValu>35601</catValu>
    <labl>India 1992-93</labl>
  </catgry>
  <catgry>
    <catValu>35602</catValu>
    <labl>India 1998-99</labl>
  </catgry>
  <catgry>
    <catValu>35603</catValu>
    <labl>India 2005-06</labl>
  </catgry>
  <catgry>
    <catValu>35604</catValu>
    <labl>India 2015-16</labl>
  </catgry>
  <catgry>
    <catValu>38401</catValu>
    <labl>Cote d'Ivoire 1994</labl>
  </catgry>
  <catgry>
    <catValu>38402</catValu>
    <labl>Cote d'Ivoire 1998</labl>
  </catgry>
  <catgry>
    <catValu>38403</catValu>
    <labl>Cote d'Ivoire 2011</labl>
  </catgry>
  <catgry>
    <catValu>40001</catValu>
    <labl>Jordan 1990</labl>
  </catgry>
  <catgry>
    <catValu>40002</catValu>
    <labl>Jordan 1997</labl>
  </catgry>
  <catgry>
    <catValu>40003</catValu>
    <labl>Jordan 2002</labl>
  </catgry>
  <catgry>
    <catValu>40004</catValu>
    <labl>Jordan 2007</labl>
  </catgry>
  <catgry>
    <catValu>40005</catValu>
    <labl>Jordan 2009</labl>
  </catgry>
  <catgry>
    <catValu>40006</catValu>
    <labl>Jordan 2012</labl>
  </catgry>
  <catgry>
    <catValu>40007</catValu>
    <labl>Jordan 2017-18</labl>
  </catgry>
  <catgry>
    <catValu>40401</catValu>
    <labl>Kenya 1989</labl>
  </catgry>
  <catgry>
    <catValu>40402</catValu>
    <labl>Kenya 1993</labl>
  </catgry>
  <catgry>
    <catValu>40403</catValu>
    <labl>Kenya 1998</labl>
  </catgry>
  <catgry>
    <catValu>40404</catValu>
    <labl>Kenya 2003</labl>
  </catgry>
  <catgry>
    <catValu>40405</catValu>
    <labl>Kenya 2008-9</labl>
  </catgry>
  <catgry>
    <catValu>40406</catValu>
    <labl>Kenya 2014</labl>
  </catgry>
  <catgry>
    <catValu>42601</catValu>
    <labl>Lesotho 2004</labl>
  </catgry>
  <catgry>
    <catValu>42602</catValu>
    <labl>Lesotho 2009</labl>
  </catgry>
  <catgry>
    <catValu>42603</catValu>
    <labl>Lesotho 2014</labl>
  </catgry>
  <catgry>
    <catValu>45001</catValu>
    <labl>Madagascar 1992</labl>
  </catgry>
  <catgry>
    <catValu>45002</catValu>
    <labl>Madagascar 1997</labl>
  </catgry>
  <catgry>
    <catValu>45003</catValu>
    <labl>Madagascar 2003</labl>
  </catgry>
  <catgry>
    <catValu>45004</catValu>
    <labl>Madagascar 2008</labl>
  </catgry>
  <catgry>
    <catValu>45401</catValu>
    <labl>Malawi 1992</labl>
  </catgry>
  <catgry>
    <catValu>45402</catValu>
    <labl>Malawi 2000</labl>
  </catgry>
  <catgry>
    <catValu>45403</catValu>
    <labl>Malawi 2004</labl>
  </catgry>
  <catgry>
    <catValu>45404</catValu>
    <labl>Malawi 2010</labl>
  </catgry>
  <catgry>
    <catValu>45405</catValu>
    <labl>Malawi 2016</labl>
  </catgry>
  <catgry>
    <catValu>46601</catValu>
    <labl>Mali 1987</labl>
  </catgry>
  <catgry>
    <catValu>46602</catValu>
    <labl>Mali 1995-6</labl>
  </catgry>
  <catgry>
    <catValu>46603</catValu>
    <labl>Mali 2001</labl>
  </catgry>
  <catgry>
    <catValu>46604</catValu>
    <labl>Mali 2006</labl>
  </catgry>
  <catgry>
    <catValu>46605</catValu>
    <labl>Mali 2012</labl>
  </catgry>
  <catgry>
    <catValu>50401</catValu>
    <labl>Morocco 1987</labl>
  </catgry>
  <catgry>
    <catValu>50402</catValu>
    <labl>Morocco 1992</labl>
  </catgry>
  <catgry>
    <catValu>50403</catValu>
    <labl>Morocco 2003</labl>
  </catgry>
  <catgry>
    <catValu>50801</catValu>
    <labl>Mozambique 1997</labl>
  </catgry>
  <catgry>
    <catValu>50802</catValu>
    <labl>Mozambique 2003</labl>
  </catgry>
  <catgry>
    <catValu>50803</catValu>
    <labl>Mozambique 2011</labl>
  </catgry>
  <catgry>
    <catValu>51601</catValu>
    <labl>Namibia 1992</labl>
  </catgry>
  <catgry>
    <catValu>51602</catValu>
    <labl>Namibia 2000</labl>
  </catgry>
  <catgry>
    <catValu>51603</catValu>
    <labl>Namibia 2006</labl>
  </catgry>
  <catgry>
    <catValu>51604</catValu>
    <labl>Namibia 2013</labl>
  </catgry>
  <catgry>
    <catValu>52401</catValu>
    <labl>Nepal 1996</labl>
  </catgry>
  <catgry>
    <catValu>52402</catValu>
    <labl>Nepal 2001</labl>
  </catgry>
  <catgry>
    <catValu>52403</catValu>
    <labl>Nepal 2006</labl>
  </catgry>
  <catgry>
    <catValu>52404</catValu>
    <labl>Nepal 2011</labl>
  </catgry>
  <catgry>
    <catValu>52405</catValu>
    <labl>Nepal 2016</labl>
  </catgry>
  <catgry>
    <catValu>56201</catValu>
    <labl>Niger 1992</labl>
  </catgry>
  <catgry>
    <catValu>56202</catValu>
    <labl>Niger 1998</labl>
  </catgry>
  <catgry>
    <catValu>56203</catValu>
    <labl>Niger 2006</labl>
  </catgry>
  <catgry>
    <catValu>56204</catValu>
    <labl>Niger 2012</labl>
  </catgry>
  <catgry>
    <catValu>56601</catValu>
    <labl>Nigeria 1990</labl>
  </catgry>
  <catgry>
    <catValu>56602</catValu>
    <labl>Nigeria 1999</labl>
  </catgry>
  <catgry>
    <catValu>56603</catValu>
    <labl>Nigeria 2003</labl>
  </catgry>
  <catgry>
    <catValu>56604</catValu>
    <labl>Nigeria 2008</labl>
  </catgry>
  <catgry>
    <catValu>56605</catValu>
    <labl>Nigeria 2013</labl>
  </catgry>
  <catgry>
    <catValu>58601</catValu>
    <labl>Pakistan 1990-91</labl>
  </catgry>
  <catgry>
    <catValu>58602</catValu>
    <labl>Pakistan 2006-07</labl>
  </catgry>
  <catgry>
    <catValu>58603</catValu>
    <labl>Pakistan 2012-13</labl>
  </catgry>
  <catgry>
    <catValu>58604</catValu>
    <labl>Pakistan 2017-18</labl>
  </catgry>
  <catgry>
    <catValu>60401</catValu>
    <labl>Peru 1991-92</labl>
  </catgry>
  <catgry>
    <catValu>60402</catValu>
    <labl>Peru 1996</labl>
  </catgry>
  <catgry>
    <catValu>60403</catValu>
    <labl>Peru 2000</labl>
  </catgry>
  <catgry>
    <catValu>60404</catValu>
    <labl>Peru 2004-08</labl>
  </catgry>
  <catgry>
    <catValu>60405</catValu>
    <labl>Peru 2010</labl>
  </catgry>
  <catgry>
    <catValu>60406</catValu>
    <labl>Peru 2011</labl>
  </catgry>
  <catgry>
    <catValu>60407</catValu>
    <labl>Peru 2012</labl>
  </catgry>
  <catgry>
    <catValu>64601</catValu>
    <labl>Rwanda 1992</labl>
  </catgry>
  <catgry>
    <catValu>64602</catValu>
    <labl>Rwanda 2000</labl>
  </catgry>
  <catgry>
    <catValu>64603</catValu>
    <labl>Rwanda 2005</labl>
  </catgry>
  <catgry>
    <catValu>64604</catValu>
    <labl>Rwanda 2010</labl>
  </catgry>
  <catgry>
    <catValu>64605</catValu>
    <labl>Rwanda 2014</labl>
  </catgry>
  <catgry>
    <catValu>68601</catValu>
    <labl>Senegal 1986</labl>
  </catgry>
  <catgry>
    <catValu>68602</catValu>
    <labl>Senegal 1992-93</labl>
  </catgry>
  <catgry>
    <catValu>68603</catValu>
    <labl>Senegal 1997</labl>
  </catgry>
  <catgry>
    <catValu>68604</catValu>
    <labl>Senegal 2005</labl>
  </catgry>
  <catgry>
    <catValu>68605</catValu>
    <labl>Senegal 2010-11</labl>
  </catgry>
  <catgry>
    <catValu>68606</catValu>
    <labl>Senegal 2012-13</labl>
  </catgry>
  <catgry>
    <catValu>68607</catValu>
    <labl>Senegal 2014</labl>
  </catgry>
  <catgry>
    <catValu>68608</catValu>
    <labl>Senegal 2015</labl>
  </catgry>
  <catgry>
    <catValu>68609</catValu>
    <labl>Senegal 2016</labl>
  </catgry>
  <catgry>
    <catValu>68610</catValu>
    <labl>Senegal 2017</labl>
  </catgry>
  <catgry>
    <catValu>71001</catValu>
    <labl>South Africa 1998</labl>
  </catgry>
  <catgry>
    <catValu>71002</catValu>
    <labl>South Africa 2016</labl>
  </catgry>
  <catgry>
    <catValu>71601</catValu>
    <labl>Zimbabwe 1988</labl>
  </catgry>
  <catgry>
    <catValu>71602</catValu>
    <labl>Zimbabwe 1994</labl>
  </catgry>
  <catgry>
    <catValu>71603</catValu>
    <labl>Zimbabwe 1999</labl>
  </catgry>
  <catgry>
    <catValu>71604</catValu>
    <labl>Zimbabwe 2005-6</labl>
  </catgry>
  <catgry>
    <catValu>71605</catValu>
    <labl>Zimbabwe 2010-11</labl>
  </catgry>
  <catgry>
    <catValu>71606</catValu>
    <labl>Zimbabwe 2015</labl>
  </catgry>
  <catgry>
    <catValu>72901</catValu>
    <labl>Sudan 1989-90</labl>
  </catgry>
  <catgry>
    <catValu>78801</catValu>
    <labl>Tunisia 1988</labl>
  </catgry>
  <catgry>
    <catValu>79201</catValu>
    <labl>Turkey 1993</labl>
  </catgry>
  <catgry>
    <catValu>79202</catValu>
    <labl>Turkey 1998</labl>
  </catgry>
  <catgry>
    <catValu>79203</catValu>
    <labl>Turkey 2003</labl>
  </catgry>
  <catgry>
    <catValu>80001</catValu>
    <labl>Uganda 1988</labl>
  </catgry>
  <catgry>
    <catValu>80002</catValu>
    <labl>Uganda 1995</labl>
  </catgry>
  <catgry>
    <catValu>80003</catValu>
    <labl>Uganda 2001</labl>
  </catgry>
  <catgry>
    <catValu>80004</catValu>
    <labl>Uganda 2006</labl>
  </catgry>
  <catgry>
    <catValu>80005</catValu>
    <labl>Uganda 2011</labl>
  </catgry>
  <catgry>
    <catValu>80006</catValu>
    <labl>Uganda 2016</labl>
  </catgry>
  <catgry>
    <catValu>81801</catValu>
    <labl>Egypt 1988</labl>
  </catgry>
  <catgry>
    <catValu>81802</catValu>
    <labl>Egypt 1992</labl>
  </catgry>
  <catgry>
    <catValu>81803</catValu>
    <labl>Egypt 1995</labl>
  </catgry>
  <catgry>
    <catValu>81804</catValu>
    <labl>Egypt 2000</labl>
  </catgry>
  <catgry>
    <catValu>81805</catValu>
    <labl>Egypt 2005</labl>
  </catgry>
  <catgry>
    <catValu>81806</catValu>
    <labl>Egypt 2008</labl>
  </catgry>
  <catgry>
    <catValu>81807</catValu>
    <labl>Egypt 2014</labl>
  </catgry>
  <catgry>
    <catValu>83401</catValu>
    <labl>Tanzania 1991</labl>
  </catgry>
  <catgry>
    <catValu>83402</catValu>
    <labl>Tanzania 1996</labl>
  </catgry>
  <catgry>
    <catValu>83403</catValu>
    <labl>Tanzania 1999</labl>
  </catgry>
  <catgry>
    <catValu>83404</catValu>
    <labl>Tanzania 2004</labl>
  </catgry>
  <catgry>
    <catValu>83405</catValu>
    <labl>Tanzania 2010</labl>
  </catgry>
  <catgry>
    <catValu>83406</catValu>
    <labl>Tanzania 2015</labl>
  </catgry>
  <catgry>
    <catValu>85401</catValu>
    <labl>Burkina Faso 1993</labl>
  </catgry>
  <catgry>
    <catValu>85402</catValu>
    <labl>Burkina Faso 1998</labl>
  </catgry>
  <catgry>
    <catValu>85403</catValu>
    <labl>Burkina Faso 2003</labl>
  </catgry>
  <catgry>
    <catValu>85404</catValu>
    <labl>Burkina Faso 2010</labl>
  </catgry>
  <catgry>
    <catValu>88701</catValu>
    <labl>Yemen 1991-92</labl>
  </catgry>
  <catgry>
    <catValu>88702</catValu>
    <labl>Yemen 2013</labl>
  </catgry>
  <catgry>
    <catValu>89401</catValu>
    <labl>Zambia 1992</labl>
  </catgry>
  <catgry>
    <catValu>89402</catValu>
    <labl>Zambia 1996</labl>
  </catgry>
  <catgry>
    <catValu>89403</catValu>
    <labl>Zambia 2001</labl>
  </catgry>
  <catgry>
    <catValu>89404</catValu>
    <labl>Zambia 2007</labl>
  </catgry>
  <catgry>
    <catValu>89405</catValu>
    <labl>Zambia 2013</labl>
  </catgry>
  <txt>SAMPLE identifies the DHS sample from which the case is drawn.  Each sample receives a unique 5-digit code.  The first three digits are ISO/UN codes used in COUNTRY, and the last two digits identify the sample within the country, ordered by survey year.

The related variable SAMPLESTR is a string variable that identifies the DHS sample with the same 5-digit code.</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_SAMPLESTR" name="W_SAMPLESTR" files="W" intrvl="discrete">
  <labl>IPUMS-DHS sample identifier (string)</labl>
  <imputation>IPUMS-DHS sample identifier (string)</imputation>
  <security>IPUMS-DHS sample identifier (string)</security>
  <embargo>IPUMS-DHS sample identifier (string)</embargo>
  <respUnit>IPUMS-DHS sample identifier (string)</respUnit>
  <catgry>
    <catValu>11603</catValu>
    <labl>Cambodia 2010</labl>
  </catgry>
  <catgry>
    <catValu>11602</catValu>
    <labl>Cambodia 2005</labl>
  </catgry>
  <catgry>
    <catValu>11601</catValu>
    <labl>Cambodia 2000</labl>
  </catgry>
  <catgry>
    <catValu>10803</catValu>
    <labl>Burundi 2016</labl>
  </catgry>
  <catgry>
    <catValu>10802</catValu>
    <labl>Burundi 2010</labl>
  </catgry>
  <catgry>
    <catValu>10801</catValu>
    <labl>Burundi 1987</labl>
  </catgry>
  <catgry>
    <catValu>10401</catValu>
    <labl>Myanmar 2015</labl>
  </catgry>
  <catgry>
    <catValu>05007</catValu>
    <labl>Bangladesh 2014</labl>
  </catgry>
  <catgry>
    <catValu>05006</catValu>
    <labl>Bangladesh 2011</labl>
  </catgry>
  <catgry>
    <catValu>05005</catValu>
    <labl>Bangladesh 2007</labl>
  </catgry>
  <catgry>
    <catValu>05004</catValu>
    <labl>Bangladesh 2004</labl>
  </catgry>
  <catgry>
    <catValu>05003</catValu>
    <labl>Bangladesh 1999-00</labl>
  </catgry>
  <catgry>
    <catValu>05001</catValu>
    <labl>Bangladesh 1994</labl>
  </catgry>
  <catgry>
    <catValu>05002</catValu>
    <labl>Bangladesh 1996-97</labl>
  </catgry>
  <catgry>
    <catValu>14801</catValu>
    <labl>Chad 1996-97</labl>
  </catgry>
  <catgry>
    <catValu>12004</catValu>
    <labl>Cameroon 2011</labl>
  </catgry>
  <catgry>
    <catValu>12003</catValu>
    <labl>Cameroon 2004</labl>
  </catgry>
  <catgry>
    <catValu>14803</catValu>
    <labl>Chad 2014</labl>
  </catgry>
  <catgry>
    <catValu>18001</catValu>
    <labl>Congo Democratic Republic 2007</labl>
  </catgry>
  <catgry>
    <catValu>18002</catValu>
    <labl>Congo Democratic Republic 2013-14</labl>
  </catgry>
  <catgry>
    <catValu>20401</catValu>
    <labl>Benin 1996</labl>
  </catgry>
  <catgry>
    <catValu>81807</catValu>
    <labl>Egypt 2014</labl>
  </catgry>
  <catgry>
    <catValu>81806</catValu>
    <labl>Egypt 2008</labl>
  </catgry>
  <catgry>
    <catValu>81805</catValu>
    <labl>Egypt 2005</labl>
  </catgry>
  <catgry>
    <catValu>81804</catValu>
    <labl>Egypt 2000</labl>
  </catgry>
  <catgry>
    <catValu>81803</catValu>
    <labl>Egypt 1995</labl>
  </catgry>
  <catgry>
    <catValu>81802</catValu>
    <labl>Egypt 1992</labl>
  </catgry>
  <catgry>
    <catValu>81801</catValu>
    <labl>Egypt 1988</labl>
  </catgry>
  <catgry>
    <catValu>80006</catValu>
    <labl>Uganda 2016</labl>
  </catgry>
  <catgry>
    <catValu>80005</catValu>
    <labl>Uganda 2011</labl>
  </catgry>
  <catgry>
    <catValu>80004</catValu>
    <labl>Uganda 2006</labl>
  </catgry>
  <catgry>
    <catValu>80003</catValu>
    <labl>Uganda 2001</labl>
  </catgry>
  <catgry>
    <catValu>80002</catValu>
    <labl>Uganda 1995</labl>
  </catgry>
  <catgry>
    <catValu>80001</catValu>
    <labl>Uganda 1988</labl>
  </catgry>
  <catgry>
    <catValu>79203</catValu>
    <labl>Turkey 2003</labl>
  </catgry>
  <catgry>
    <catValu>79202</catValu>
    <labl>Turkey 1998</labl>
  </catgry>
  <catgry>
    <catValu>79201</catValu>
    <labl>Turkey 1993</labl>
  </catgry>
  <catgry>
    <catValu>78801</catValu>
    <labl>Tunisia 1988</labl>
  </catgry>
  <catgry>
    <catValu>72901</catValu>
    <labl>Sudan 1989-90</labl>
  </catgry>
  <catgry>
    <catValu>71606</catValu>
    <labl>Zimbabwe 2015</labl>
  </catgry>
  <catgry>
    <catValu>71605</catValu>
    <labl>Zimbabwe 2010-11</labl>
  </catgry>
  <catgry>
    <catValu>71604</catValu>
    <labl>Zimbabwe 2005-6</labl>
  </catgry>
  <catgry>
    <catValu>71603</catValu>
    <labl>Zimbabwe 1999</labl>
  </catgry>
  <catgry>
    <catValu>71602</catValu>
    <labl>Zimbabwe 1994</labl>
  </catgry>
  <catgry>
    <catValu>71601</catValu>
    <labl>Zimbabwe 1988</labl>
  </catgry>
  <catgry>
    <catValu>71001</catValu>
    <labl>South Africa 1998</labl>
  </catgry>
  <catgry>
    <catValu>68610</catValu>
    <labl>Senegal 2017</labl>
  </catgry>
  <catgry>
    <catValu>68609</catValu>
    <labl>Senegal 2016</labl>
  </catgry>
  <catgry>
    <catValu>68608</catValu>
    <labl>Senegal 2015</labl>
  </catgry>
  <catgry>
    <catValu>68607</catValu>
    <labl>Senegal 2014</labl>
  </catgry>
  <catgry>
    <catValu>14802</catValu>
    <labl>Chad 2004</labl>
  </catgry>
  <catgry>
    <catValu>68606</catValu>
    <labl>Senegal 2012-13</labl>
  </catgry>
  <catgry>
    <catValu>68605</catValu>
    <labl>Senegal 2010-11</labl>
  </catgry>
  <catgry>
    <catValu>68604</catValu>
    <labl>Senegal 2005</labl>
  </catgry>
  <catgry>
    <catValu>68603</catValu>
    <labl>Senegal 1997</labl>
  </catgry>
  <catgry>
    <catValu>68602</catValu>
    <labl>Senegal 1992-93</labl>
  </catgry>
  <catgry>
    <catValu>68601</catValu>
    <labl>Senegal 1986</labl>
  </catgry>
  <catgry>
    <catValu>64605</catValu>
    <labl>Rwanda 2014</labl>
  </catgry>
  <catgry>
    <catValu>64604</catValu>
    <labl>Rwanda 2010</labl>
  </catgry>
  <catgry>
    <catValu>64603</catValu>
    <labl>Rwanda 2005</labl>
  </catgry>
  <catgry>
    <catValu>64602</catValu>
    <labl>Rwanda 2000</labl>
  </catgry>
  <catgry>
    <catValu>64601</catValu>
    <labl>Rwanda 1992</labl>
  </catgry>
  <catgry>
    <catValu>60407</catValu>
    <labl>Peru 2012</labl>
  </catgry>
  <catgry>
    <catValu>60406</catValu>
    <labl>Peru 2011</labl>
  </catgry>
  <catgry>
    <catValu>60405</catValu>
    <labl>Peru 2010</labl>
  </catgry>
  <catgry>
    <catValu>60404</catValu>
    <labl>Peru 2004-08</labl>
  </catgry>
  <catgry>
    <catValu>60403</catValu>
    <labl>Peru 2000</labl>
  </catgry>
  <catgry>
    <catValu>60402</catValu>
    <labl>Peru 1996</labl>
  </catgry>
  <catgry>
    <catValu>60401</catValu>
    <labl>Peru 1991-92</labl>
  </catgry>
  <catgry>
    <catValu>58603</catValu>
    <labl>Pakistan 2012-13</labl>
  </catgry>
  <catgry>
    <catValu>58602</catValu>
    <labl>Pakistan 2006-07</labl>
  </catgry>
  <catgry>
    <catValu>58601</catValu>
    <labl>Pakistan 1990-91</labl>
  </catgry>
  <catgry>
    <catValu>56605</catValu>
    <labl>Nigeria 2013</labl>
  </catgry>
  <catgry>
    <catValu>56604</catValu>
    <labl>Nigeria 2008</labl>
  </catgry>
  <catgry>
    <catValu>56603</catValu>
    <labl>Nigeria 2003</labl>
  </catgry>
  <catgry>
    <catValu>56602</catValu>
    <labl>Nigeria 1999</labl>
  </catgry>
  <catgry>
    <catValu>56601</catValu>
    <labl>Nigeria 1990</labl>
  </catgry>
  <catgry>
    <catValu>56204</catValu>
    <labl>Niger 2012</labl>
  </catgry>
  <catgry>
    <catValu>56203</catValu>
    <labl>Niger 2006</labl>
  </catgry>
  <catgry>
    <catValu>56202</catValu>
    <labl>Niger 1998</labl>
  </catgry>
  <catgry>
    <catValu>12002</catValu>
    <labl>Cameroon 1998</labl>
  </catgry>
  <catgry>
    <catValu>12001</catValu>
    <labl>Cameroon 1991</labl>
  </catgry>
  <catgry>
    <catValu>11604</catValu>
    <labl>Cambodia 2014</labl>
  </catgry>
  <catgry>
    <catValu>02401</catValu>
    <labl>Angola 2015</labl>
  </catgry>
  <catgry>
    <catValu>00401</catValu>
    <labl>Afghanistan 2015</labl>
  </catgry>
  <catgry>
    <catValu>00101</catValu>
    <labl>Model 2015</labl>
  </catgry>
  <catgry>
    <catValu>56201</catValu>
    <labl>Niger 1992</labl>
  </catgry>
  <catgry>
    <catValu>52404</catValu>
    <labl>Nepal 2011</labl>
  </catgry>
  <catgry>
    <catValu>52403</catValu>
    <labl>Nepal 2006</labl>
  </catgry>
  <catgry>
    <catValu>52402</catValu>
    <labl>Nepal 2001</labl>
  </catgry>
  <catgry>
    <catValu>52401</catValu>
    <labl>Nepal 1996</labl>
  </catgry>
  <catgry>
    <catValu>51604</catValu>
    <labl>Namibia 2013</labl>
  </catgry>
  <catgry>
    <catValu>51603</catValu>
    <labl>Namibia 2006</labl>
  </catgry>
  <catgry>
    <catValu>51602</catValu>
    <labl>Namibia 2000</labl>
  </catgry>
  <catgry>
    <catValu>51601</catValu>
    <labl>Namibia 1992</labl>
  </catgry>
  <catgry>
    <catValu>50803</catValu>
    <labl>Mozambique 2011</labl>
  </catgry>
  <catgry>
    <catValu>50802</catValu>
    <labl>Mozambique 2003</labl>
  </catgry>
  <catgry>
    <catValu>50801</catValu>
    <labl>Mozambique 1997</labl>
  </catgry>
  <catgry>
    <catValu>50403</catValu>
    <labl>Morocco 2003</labl>
  </catgry>
  <catgry>
    <catValu>50402</catValu>
    <labl>Morocco 1992</labl>
  </catgry>
  <catgry>
    <catValu>50401</catValu>
    <labl>Morocco 1987</labl>
  </catgry>
  <catgry>
    <catValu>46605</catValu>
    <labl>Mali 2012</labl>
  </catgry>
  <catgry>
    <catValu>46604</catValu>
    <labl>Mali 2006</labl>
  </catgry>
  <catgry>
    <catValu>46603</catValu>
    <labl>Mali 2001</labl>
  </catgry>
  <catgry>
    <catValu>46602</catValu>
    <labl>Mali 1995-6</labl>
  </catgry>
  <catgry>
    <catValu>46601</catValu>
    <labl>Mali 1987</labl>
  </catgry>
  <catgry>
    <catValu>45405</catValu>
    <labl>Malawi 2016</labl>
  </catgry>
  <catgry>
    <catValu>45404</catValu>
    <labl>Malawi 2010</labl>
  </catgry>
  <catgry>
    <catValu>45403</catValu>
    <labl>Malawi 2004</labl>
  </catgry>
  <catgry>
    <catValu>45402</catValu>
    <labl>Malawi 2000</labl>
  </catgry>
  <catgry>
    <catValu>45401</catValu>
    <labl>Malawi 1992</labl>
  </catgry>
  <catgry>
    <catValu>45004</catValu>
    <labl>Madagascar 2008</labl>
  </catgry>
  <catgry>
    <catValu>45003</catValu>
    <labl>Madagascar 2003</labl>
  </catgry>
  <catgry>
    <catValu>45002</catValu>
    <labl>Madagascar 1997</labl>
  </catgry>
  <catgry>
    <catValu>45001</catValu>
    <labl>Madagascar 1992</labl>
  </catgry>
  <catgry>
    <catValu>42603</catValu>
    <labl>Lesotho 2014</labl>
  </catgry>
  <catgry>
    <catValu>42602</catValu>
    <labl>Lesotho 2009</labl>
  </catgry>
  <catgry>
    <catValu>42601</catValu>
    <labl>Lesotho 2004</labl>
  </catgry>
  <catgry>
    <catValu>40406</catValu>
    <labl>Kenya 2014</labl>
  </catgry>
  <catgry>
    <catValu>40405</catValu>
    <labl>Kenya 2008-9</labl>
  </catgry>
  <catgry>
    <catValu>40404</catValu>
    <labl>Kenya 2003</labl>
  </catgry>
  <catgry>
    <catValu>40403</catValu>
    <labl>Kenya 1998</labl>
  </catgry>
  <catgry>
    <catValu>40402</catValu>
    <labl>Kenya 1993</labl>
  </catgry>
  <catgry>
    <catValu>40401</catValu>
    <labl>Kenya 1989</labl>
  </catgry>
  <catgry>
    <catValu>40006</catValu>
    <labl>Jordan 2012</labl>
  </catgry>
  <catgry>
    <catValu>40005</catValu>
    <labl>Jordan 2009</labl>
  </catgry>
  <catgry>
    <catValu>40004</catValu>
    <labl>Jordan 2007</labl>
  </catgry>
  <catgry>
    <catValu>40003</catValu>
    <labl>Jordan 2002</labl>
  </catgry>
  <catgry>
    <catValu>40002</catValu>
    <labl>Jordan 1997</labl>
  </catgry>
  <catgry>
    <catValu>40001</catValu>
    <labl>Jordan 1990</labl>
  </catgry>
  <catgry>
    <catValu>38403</catValu>
    <labl>Cote d'Ivoire 2011</labl>
  </catgry>
  <catgry>
    <catValu>38402</catValu>
    <labl>Cote d'Ivoire 1998</labl>
  </catgry>
  <catgry>
    <catValu>38401</catValu>
    <labl>Cote d'Ivoire 1994</labl>
  </catgry>
  <catgry>
    <catValu>35604</catValu>
    <labl>India 2015-16</labl>
  </catgry>
  <catgry>
    <catValu>35603</catValu>
    <labl>India 2005-06</labl>
  </catgry>
  <catgry>
    <catValu>35602</catValu>
    <labl>India 1998-99</labl>
  </catgry>
  <catgry>
    <catValu>35601</catValu>
    <labl>India 1992-93</labl>
  </catgry>
  <catgry>
    <catValu>32403</catValu>
    <labl>Guinea 2012</labl>
  </catgry>
  <catgry>
    <catValu>32402</catValu>
    <labl>Guinea 2005</labl>
  </catgry>
  <catgry>
    <catValu>32401</catValu>
    <labl>Guinea 1999</labl>
  </catgry>
  <catgry>
    <catValu>32003</catValu>
    <labl>Guatemala 2015</labl>
  </catgry>
  <catgry>
    <catValu>32002</catValu>
    <labl>Guatemala 1995</labl>
  </catgry>
  <catgry>
    <catValu>32001</catValu>
    <labl>Guatemala 1987</labl>
  </catgry>
  <catgry>
    <catValu>28806</catValu>
    <labl>Ghana 2014</labl>
  </catgry>
  <catgry>
    <catValu>28805</catValu>
    <labl>Ghana 2008</labl>
  </catgry>
  <catgry>
    <catValu>28804</catValu>
    <labl>Ghana 2003</labl>
  </catgry>
  <catgry>
    <catValu>28803</catValu>
    <labl>Ghana 1998</labl>
  </catgry>
  <catgry>
    <catValu>28802</catValu>
    <labl>Ghana 1993</labl>
  </catgry>
  <catgry>
    <catValu>28801</catValu>
    <labl>Ghana 1988</labl>
  </catgry>
  <catgry>
    <catValu>23104</catValu>
    <labl>Ethiopia 2016</labl>
  </catgry>
  <catgry>
    <catValu>23103</catValu>
    <labl>Ethiopia 2011</labl>
  </catgry>
  <catgry>
    <catValu>23102</catValu>
    <labl>Ethiopia 2005</labl>
  </catgry>
  <catgry>
    <catValu>23101</catValu>
    <labl>Ethiopia 2000</labl>
  </catgry>
  <catgry>
    <catValu>20404</catValu>
    <labl>Benin 2011</labl>
  </catgry>
  <catgry>
    <catValu>20403</catValu>
    <labl>Benin 2006</labl>
  </catgry>
  <catgry>
    <catValu>20402</catValu>
    <labl>Benin 2001</labl>
  </catgry>
  <catgry>
    <catValu>83401</catValu>
    <labl>Tanzania 1991</labl>
  </catgry>
  <catgry>
    <catValu>83402</catValu>
    <labl>Tanzania 1996</labl>
  </catgry>
  <catgry>
    <catValu>83403</catValu>
    <labl>Tanzania 1999</labl>
  </catgry>
  <catgry>
    <catValu>83404</catValu>
    <labl>Tanzania 2004</labl>
  </catgry>
  <catgry>
    <catValu>83405</catValu>
    <labl>Tanzania 2010</labl>
  </catgry>
  <catgry>
    <catValu>83406</catValu>
    <labl>Tanzania 2015</labl>
  </catgry>
  <catgry>
    <catValu>85401</catValu>
    <labl>Burkina Faso 1993</labl>
  </catgry>
  <catgry>
    <catValu>85402</catValu>
    <labl>Burkina Faso 1998</labl>
  </catgry>
  <catgry>
    <catValu>85403</catValu>
    <labl>Burkina Faso 2003</labl>
  </catgry>
  <catgry>
    <catValu>85404</catValu>
    <labl>Burkina Faso 2010</labl>
  </catgry>
  <catgry>
    <catValu>88701</catValu>
    <labl>Yemen 1991-92</labl>
  </catgry>
  <catgry>
    <catValu>88702</catValu>
    <labl>Yemen 2013</labl>
  </catgry>
  <catgry>
    <catValu>89401</catValu>
    <labl>Zambia 1992</labl>
  </catgry>
  <catgry>
    <catValu>89402</catValu>
    <labl>Zambia 1996</labl>
  </catgry>
  <catgry>
    <catValu>89403</catValu>
    <labl>Zambia 2001</labl>
  </catgry>
  <catgry>
    <catValu>89404</catValu>
    <labl>Zambia 2007</labl>
  </catgry>
  <catgry>
    <catValu>89405</catValu>
    <labl>Zambia 2013</labl>
  </catgry>
  <catgry>
    <catValu>40007</catValu>
    <labl>Jordan 2017</labl>
  </catgry>
  <catgry>
    <catValu>52405</catValu>
    <labl>Nepal 2016</labl>
  </catgry>
  <catgry>
    <catValu>58604</catValu>
    <labl>Pakistan 2017-18</labl>
  </catgry>
  <catgry>
    <catValu>71002</catValu>
    <labl>South Africa 2016</labl>
  </catgry>
  <txt>SAMPLESTR is a string variable that identifies the DHS sample from which the case is drawn.  Each sample receives a unique 5-digit code.  The first three digits are ISO/UN codes used in COUNTRY, and the last two digits identify the sample within the country, ordered by survey year.

The related variable SAMPLE is a numeric variable that identifies the DHS sample with the same 5-digit code.</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="W_COUNTRY" name="W_COUNTRY" files="W" intrvl="discrete">
  <labl>Country</labl>
  <imputation>Country</imputation>
  <security>Country</security>
  <embargo>Country</embargo>
  <respUnit>Country</respUnit>
  <catgry>
    <catValu>001</catValu>
    <labl>Model</labl>
  </catgry>
  <catgry>
    <catValu>004</catValu>
    <labl>Afghanistan</labl>
  </catgry>
  <catgry>
    <catValu>024</catValu>
    <labl>Angola</labl>
  </catgry>
  <catgry>
    <catValu>050</catValu>
    <labl>Bangladesh</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>Myanmar</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>Burundi</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>Cambodia</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Cameroon</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>Chad</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>Congo Democratic Republic</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>Benin</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>Ethiopia</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>Ghana</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>Guatemala</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>Guinea</labl>
  </catgry>
  <catgry>
    <catValu>356</catValu>
    <labl>India</labl>
  </catgry>
  <catgry>
    <catValu>384</catValu>
    <labl>Cote d'Ivoire</labl>
  </catgry>
  <catgry>
    <catValu>400</catValu>
    <labl>Jordan</labl>
  </catgry>
  <catgry>
    <catValu>404</catValu>
    <labl>Kenya</labl>
  </catgry>
  <catgry>
    <catValu>426</catValu>
    <labl>Lesotho</labl>
  </catgry>
  <catgry>
    <catValu>450</catValu>
    <labl>Madagascar</labl>
  </catgry>
  <catgry>
    <catValu>454</catValu>
    <labl>Malawi</labl>
  </catgry>
  <catgry>
    <catValu>466</catValu>
    <labl>Mali</labl>
  </catgry>
  <catgry>
    <catValu>504</catValu>
    <labl>Morocco</labl>
  </catgry>
  <catgry>
    <catValu>508</catValu>
    <labl>Mozambique</labl>
  </catgry>
  <catgry>
    <catValu>516</catValu>
    <labl>Namibia</labl>
  </catgry>
  <catgry>
    <catValu>524</catValu>
    <labl>Nepal</labl>
  </catgry>
  <catgry>
    <catValu>562</catValu>
    <labl>Niger</labl>
  </catgry>
  <catgry>
    <catValu>566</catValu>
    <labl>Nigeria</labl>
  </catgry>
  <catgry>
    <catValu>586</catValu>
    <labl>Pakistan</labl>
  </catgry>
  <catgry>
    <catValu>604</catValu>
    <labl>Peru</labl>
  </catgry>
  <catgry>
    <catValu>646</catValu>
    <labl>Rwanda</labl>
  </catgry>
  <catgry>
    <catValu>686</catValu>
    <labl>Senegal</labl>
  </catgry>
  <catgry>
    <catValu>710</catValu>
    <labl>South Africa</labl>
  </catgry>
  <catgry>
    <catValu>716</catValu>
    <labl>Zimbabwe</labl>
  </catgry>
  <catgry>
    <catValu>729</catValu>
    <labl>Sudan</labl>
  </catgry>
  <catgry>
    <catValu>788</catValu>
    <labl>Tunisia</labl>
  </catgry>
  <catgry>
    <catValu>792</catValu>
    <labl>Turkey</labl>
  </catgry>
  <catgry>
    <catValu>800</catValu>
    <labl>Uganda</labl>
  </catgry>
  <catgry>
    <catValu>818</catValu>
    <labl>Egypt</labl>
  </catgry>
  <catgry>
    <catValu>834</catValu>
    <labl>Tanzania</labl>
  </catgry>
  <catgry>
    <catValu>854</catValu>
    <labl>Burkina Faso</labl>
  </catgry>
  <catgry>
    <catValu>887</catValu>
    <labl>Yemen</labl>
  </catgry>
  <catgry>
    <catValu>894</catValu>
    <labl>Zambia</labl>
  </catgry>
  <txt>COUNTRY reports the country where the survey was fielded. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization).</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_YEAR" name="W_YEAR" files="W" intrvl="discrete">
  <labl>Year of sample</labl>
  <imputation>Year of sample</imputation>
  <security>Year of sample</security>
  <embargo>Year of sample</embargo>
  <respUnit>Year of sample</respUnit>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>2017</labl>
  </catgry>
  <catgry>
    <catValu>2018</catValu>
    <labl>2018</labl>
  </catgry>
  <txt>YEAR reports the year when the survey was fielded, as a four-digit variable. In some cases, the DHS was conducted over the course of two years (e.g., Ethiopia 2010-2011), but YEAR always gives a single year.  For full information about the timing of the surveys, please consult the IPUMS-DHS Sample Descriptions page.</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_IDHSPID" name="W_IDHSPID" files="W" intrvl="contin">
  <labl>Unique cross-sample respondent identifier</labl>
  <imputation>Unique cross-sample respondent identifier</imputation>
  <security>Unique cross-sample respondent identifier</security>
  <embargo>Unique cross-sample respondent identifier</embargo>
  <respUnit>Unique cross-sample respondent identifier</respUnit>
  <txt>IDHSPID is an identifying number unique to person in a given sample.  It is a concatenation of SAMPLE and CASEID.</txt>
  <codInstr>IDHSPID is a 22-character string variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="W_IDHSHID" name="W_IDHSHID" files="W" intrvl="contin">
  <labl>Unique cross-sample household identifier</labl>
  <imputation>Unique cross-sample household identifier</imputation>
  <security>Unique cross-sample household identifier</security>
  <embargo>Unique cross-sample household identifier</embargo>
  <respUnit>Unique cross-sample household identifier</respUnit>
  <txt>IDHSHID is an identifying number unique to a specific household in a given sample.  It is a concatenation of SAMPLE, CLUSTERNO and HHNUM.</txt>
  <codInstr>IDHSHID is a 19-character string variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="W_DHSID" name="W_DHSID" files="W" intrvl="contin">
  <labl>Key to link DHS clusters to context data (string)</labl>
  <imputation>Key to link DHS clusters to context data (string)</imputation>
  <security>Key to link DHS clusters to context data (string)</security>
  <embargo>Key to link DHS clusters to context data (string)</embargo>
  <respUnit>Key to link DHS clusters to context data (string)</respUnit>
  <txt>DHSID is the 14-character DHS identification code for DHS clusters constructed from the 2-character country code, the 4-digit survey year, and the 8-digit cluster identification number. DHSID is available for every IPUMS-DHS sample and uniquely identifies clusters across samples. It serves as the unique linking key between IPUMS-DHS microdata and DHS cluster shapefiles.</txt>
  <codInstr>This is a 14-digit numeric variable with 0 implied decimal places</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="W_IDHSPSU" name="W_IDHSPSU" files="W" intrvl="discrete">
  <labl>Unique sample-case PSU identifier</labl>
  <imputation>Unique sample-case PSU identifier</imputation>
  <security>Unique sample-case PSU identifier</security>
  <embargo>Unique sample-case PSU identifier</embargo>
  <respUnit>Unique sample-case PSU identifier</respUnit>
  <txt>IDHSPSU is an identifying number unique to the primary sampling unit in a given sample.  This variable is a concatenation of SAMPLE (which uniquely identifies each country- and year-specific sample) and PSU (the numbered primary sampling units within a given sample).</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_IDHSSTRATA" name="W_IDHSSTRATA" files="W" intrvl="discrete">
  <labl>Unique cross-sample sampling strata</labl>
  <imputation>Unique cross-sample sampling strata</imputation>
  <security>Unique cross-sample sampling strata</security>
  <embargo>Unique cross-sample sampling strata</embargo>
  <respUnit>Unique cross-sample sampling strata</respUnit>
  <txt>IDHSSTRATA is an identifying number unique to the sampling strata in a given sample.  This variable is a concatenation of SAMPLE (which uniquely identifies each country- and year-specific sample) and STRATA (groups of geographically similar areas, from which primary sampling units are drawn).</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CASEID" name="W_CASEID" files="W" intrvl="contin">
  <labl>Sample-specific respondent identifier</labl>
  <imputation>Sample-specific respondent identifier</imputation>
  <security>Sample-specific respondent identifier</security>
  <embargo>Sample-specific respondent identifier</embargo>
  <respUnit>Sample-specific respondent identifier</respUnit>
  <txt>CASEID is the unique identifier for each woman in a given sample year.  Using CASEID and CLUSTERNO, analysts can link IPUMS-DHS data to the original DHS datasets to attach variables that are not currently available in IPUMS-DHS.  For example, researchers can use CASEID and CLUSTERNO to link variables from the IPUMS-DHS with other variables from the Woman's Recode file to merge country-specific variables, or to the Household or Couples Recode file to attach variables that are not yet part of IPUMS-DHS. 

In most samples, users can identify women who are in the same household by using the first 12 characters of CASEID (and CLUSTERNO (V001)), as this indicates a unique household identifier.  

CASEID is generally created by The DHS Program using the variables CLUSTERNO (V001), HHNUM (V002), and LINENO (V003), with the last three characters indicating the respondent's line number in the household file.

For instructions on how to create links between IPUMS-DHS data and DHS source data, see the User Note on "Merging IDHS and DHS Data." [URL omitted from DDI.]</txt>
  <codInstr>CASEID is a 18-character string variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="W_HHID" name="W_HHID" files="W" intrvl="contin">
  <labl>Sample-specific household identifier</labl>
  <imputation>Sample-specific household identifier</imputation>
  <security>Sample-specific household identifier</security>
  <embargo>Sample-specific household identifier</embargo>
  <respUnit>Sample-specific household identifier</respUnit>
  <txt>HHID is an identifying number unique to each household in a given sample.</txt>
  <codInstr>HHID is a 15-character string variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="W_PSU" name="W_PSU" files="W" intrvl="contin">
  <labl>Sample-specific primary sampling unit</labl>
  <imputation>Sample-specific primary sampling unit</imputation>
  <security>Sample-specific primary sampling unit</security>
  <embargo>Sample-specific primary sampling unit</embargo>
  <respUnit>Sample-specific primary sampling unit</respUnit>
  <txt>PSU (V021) is the variable indicating the  primary sampling unit  or PSU. It should be used along with the variable DOMAIN (V023) to account for the impact of the sample design clustering on the variance estimates and standard errors. 

The DHS Recode Manuals for Phase 2 forward describe this variable as follows:

 Primary sampling unit is a number assigned to sample points to identify the primary sampling units for use in the calculation of sampling errors. This variable is usually the same as the cluster number and/or the ultimate area unit, but may differ if the sample design required a multistage selection process.

See the notes on DHS webpage "Using sample weights" [URL omitted from DDI.] on variance estimation for additional information.</txt>
  <codInstr>PSU (V021) is a 6-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_STRATA" name="W_STRATA" files="W" intrvl="contin">
  <labl>Sample-specific sampling strata</labl>
  <imputation>Sample-specific sampling strata</imputation>
  <security>Sample-specific sampling strata</security>
  <embargo>Sample-specific sampling strata</embargo>
  <respUnit>Sample-specific sampling strata</respUnit>
  <txt>STRATA (V022) defines the pairings or groupings of primary sampling units used in the calculation of sampling errors when using the Taylor series expansion method.

In two-stage sampling, The DHS Program may first group small geographic areas, such as enumeration areas from the last census, into broad strata defined jointly by region and urban versus rural areas within a region. In the second stage of sampling, a subset of geographic areas (sample clusters) are selected as the sites for interviewing from within defined strata. 

STRATA is not the same as DOMAIN (V023). (Domains represent statistically representative areas for which valid summary statistics can be calculated for a survey, such as provinces and national urban versus rural combined areas, as described in the survey's final report.) The DHS Program recommends using STRATA along with the variable PSU (V021) to account for the impact of the sample design clustering on the estimates of variance and standard errors. 

Users are strongly encouraged to review the FAQ section provided by The DHS Program on specifying stratification and clustering here [URL omitted from DDI.], using Stata or SPSS to account for sample design.</txt>
  <codInstr>STRATA (V022) is a 5-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DOMAIN" name="W_DOMAIN" files="W" intrvl="contin">
  <labl>Sample-specific domain</labl>
  <imputation>Sample-specific domain</imputation>
  <security>Sample-specific domain</security>
  <embargo>Sample-specific domain</embargo>
  <respUnit>Sample-specific domain</respUnit>
  <txt>DOMAIN (V023) defines the basic geographic units for which the sample was designed to yield representative estimates. 

The DHS Recode Manual describes DOMAIN as follows:

 For example, if the sample was designed to be self-weighting within region, this variable would define those regions; if the sample was designed to be self-weighting within major urban areas, other urban areas and rural areas, this variable would define the major urban, other urban and rural areas. If the sample is self-weighted at the national level, this variable is code 0.

When national estimates are desired, users should include survey design variables, including DOMAIN (V023) and PSU (V021), and the correct sample weights (e.g., PERWEIGHT (V005)) to adjust sampling errors to account for DHS' sample design.

In most countries, DOMAIN defines the stratification for the sample (generally either regional or national).  However, some countries use two levels of stratification, such as region and urban/rural areas.  Users should check for the correct stratification design by consulting the Final Report(s) for the sample(s) of interest (particularly the Introduction and Sample Design sections and Implementation Appendix).</txt>
  <codInstr>DOMAIN is a 5-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_HHNUM" name="W_HHNUM" files="W" intrvl="contin">
  <labl>Household number in cluster</labl>
  <imputation>Household number in cluster</imputation>
  <security>Household number in cluster</security>
  <embargo>Household number in cluster</embargo>
  <respUnit>Household number in cluster</respUnit>
  <txt>HHNUM (V002) is the number identifying the household in which the respondent was
interviewed, within each sample.   

To identify unique households in most samples, researchers must use HHNUM with CLUSTERNO (V001).  

For most samples, HHNUM and CLUSTERNO can be used to merge IPUMS-DHS data from the women's file to DHS Household Recode files, to incorporate household variables not yet available in the IPUMS-DHS.  However, in some household files, HHNUM and CLUSTERNO do not uniquely identify households in the DHS Household Recode file. 

For information about the IPUMS-DHS samples where HHNUM and CLUSTERNO are not sufficient to uniquely identify households, and for guidance on what further steps to take for linking files in such cases, please consult the User Note on Linking. [URL omitted from DDI.]</txt>
  <codInstr>HHNUM is a 4-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CLUSTERNO" name="W_CLUSTERNO" files="W" intrvl="contin">
  <labl>Sample-specific cluster number</labl>
  <imputation>Sample-specific cluster number</imputation>
  <security>Sample-specific cluster number</security>
  <embargo>Sample-specific cluster number</embargo>
  <respUnit>Sample-specific cluster number</respUnit>
  <txt>CLUSTERNO (V001) reports the cluster number for the person's de facto residence.

According to the DHS Sampling Manual, "A cluster is the smallest geographical survey statistical unit for DHS surveys. It consists of a number of adjacent households in a geographical area. For DHS surveys, a cluster corresponds either to an [enumeration area], or a segment of a large [enumeration area]."  The most recent census for a country, which divided all territory into enumeration areas to ensure full coverage of the population, often provides the sampling frame for a DHS survey.
 
CLUSTERNO is the variable indicating the  primary sampling unit  or PSU. It should be used along with the variable STRATA to account for the impact of the sample design clustering on the estimates of variance and standard errors. 

See the notes on DHS webpage  "Use sample weights" [URL omitted from DDI.] on variance estimation for additional information.

CLUSTERNO (V001) and HHNUM (V002) can be used to merge the women's individual recode file to the household recode file.  See the DHS webpage  Merging Datasets [URL omitted from DDI.] on variables to be used for linking data sets.</txt>
  <codInstr>CLUSTERNO is an 8 digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ULTAREAUNIT" name="W_ULTAREAUNIT" files="W" intrvl="contin">
  <labl>Sample-specific ultimate area unit</labl>
  <imputation>Sample-specific ultimate area unit</imputation>
  <security>Sample-specific ultimate area unit</security>
  <embargo>Sample-specific ultimate area unit</embargo>
  <respUnit>Sample-specific ultimate area unit</respUnit>
  <txt>ULTAREAUNIT (V004) reports the ultimate area unit for the person's de facto residence.

According to the DHS recode manuals, ULTAREAUNIT 

is a number assigned to each sample point to identify the ultimate area units in the collection of data. It is usually the same as the cluster number [CLUSTERNO (V001)], but may be a sequentially numbered variable for samples with a more complicated structure.


ULTAREAUNIT can be used to account for the impact of the sampling design clustering on the variance estimates and standard errors.</txt>
  <codInstr>ULTAREAUNIT (V004) is a 4-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_STRUCTURNO" name="W_STRUCTURNO" files="W" intrvl="contin">
  <labl>Dwelling unit number within household</labl>
  <imputation>Dwelling unit number within household</imputation>
  <security>Dwelling unit number within household</security>
  <embargo>Dwelling unit number within household</embargo>
  <respUnit>Dwelling unit number within household</respUnit>
  <txt>STRUCTURNO is the number of the structure (dwelling unit) within the household. This variable is country-specific.</txt>
  <codInstr>STRUCTURNO is a 3-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_LINENO" name="W_LINENO" files="W" intrvl="discrete">
  <labl>Household line number of woman respondent</labl>
  <imputation>Household line number of woman respondent</imputation>
  <security>Household line number of woman respondent</security>
  <embargo>Household line number of woman respondent</embargo>
  <respUnit>Household line number of woman respondent</respUnit>
  <qstn>
    <qstnLit>1) NUMBER</qstnLit>
  </qstn>
  <catgry>
    <catValu>001</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>002</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>003</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>004</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>005</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>006</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>007</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>008</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>009</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>010</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>011</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>012</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>013</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>014</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>015</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>016</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>017</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>018</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>019</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>020</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>021</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>022</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>023</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>024</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>025</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>026</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>027</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>028</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>029</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>030</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>031</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>032</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>033</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>034</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>035</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>036</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>037</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>038</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>039</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>040</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>041</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>042</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>043</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>044</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>045</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>046</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>047</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>048</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>049</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>050</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>051</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>052</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>053</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>054</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>055</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>056</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>057</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>058</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>059</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>060</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>061</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>062</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>063</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>064</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>065</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>066</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>067</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>068</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>069</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>070</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>071</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>072</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>073</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>074</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>075</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>076</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>077</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>078</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>079</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>080</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>081</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>082</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>083</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>084</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>085</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>086</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>087</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>088</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>089</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>090</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>091</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>092</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>093</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>094</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>095</catValu>
    <labl>95</labl>
  </catgry>
  <catgry>
    <catValu>096</catValu>
    <labl>96</labl>
  </catgry>
  <catgry>
    <catValu>097</catValu>
    <labl>97</labl>
  </catgry>
  <catgry>
    <catValu>098</catValu>
    <labl>98</labl>
  </catgry>
  <catgry>
    <catValu>099</catValu>
    <labl>99</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>100</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>101</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>102</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>103</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>104</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>105</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>106</labl>
  </catgry>
  <txt>LINENO (V003) reports the number of the line on which the DHS interviewer recorded the woman's name, when filling out the household schedule.  After asking "Please give me the names of the persons who usually live in your household or are staying with you now, starting with the head of the household," the interviewer recorded each name in turn on successively numbered lines printed on the household survey form.</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_LINENOHHRESP" name="W_LINENOHHRESP" files="W" intrvl="discrete">
  <labl>Respondent's line number (answering Household questionnaire)</labl>
  <imputation>Respondent's line number (answering Household questionnaire)</imputation>
  <security>Respondent's line number (answering Household questionnaire)</security>
  <embargo>Respondent's line number (answering Household questionnaire)</embargo>
  <respUnit>Respondent's line number (answering Household questionnaire)</respUnit>
  <qstn>
    <qstnLit>1) NUMBER</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Not in household</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>LINENOHHRESP (HV003) reports the line number in the household schedule of the person responding to the questions asked in the household questionnaire. If nobody in the household was available for the interview, this variable is coded "00."</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PERWEIGHT" name="W_PERWEIGHT" files="W" dcml="6" intrvl="contin">
  <labl>Sample weight for persons</labl>
  <imputation>Sample weight for persons</imputation>
  <security>Sample weight for persons</security>
  <embargo>Sample weight for persons</embargo>
  <respUnit>Sample weight for persons</respUnit>
  <txt>PERWEIGHT (V005) is an 8-digit variable with 6 implied decimal places, which should be used as a weighting factor to produce representative numbers accurately describing the surveyed population.

While the DHS Recode Manuals direct the researcher to divide the original weight variable by 1,000,000 before applying the weighting factor to the original DHS data files, it is not necessary to modify the value of PERWEIGHT before applying this weight to cases in IPUMS-DHS. 

PERWEIGHT should be used to weight nearly all tabulations made using IPUMS-DHS data.  Occasionally, as with the domestic violence variables, a subset of respondents are randomly selected to answer questions from a survey module, and a specialized weight such as DVWEIGHT should be used instead. 

Note: The 6 implied decimal places in PERWEIGHT mean that the last six digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.</txt>
  <codInstr>PERWEIGHT is an 8-digit numeric variable with 6 implied decimal places.  See the variable description for directions on the use of PERWEIGHT.</codInstr>
  <concept>
    <title>Weights and subsample selection Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AWFACTT" name="W_AWFACTT" files="W" intrvl="contin">
  <labl>All woman factor for total population</labl>
  <imputation>All woman factor for total population</imputation>
  <security>All woman factor for total population</security>
  <embargo>All woman factor for total population</embargo>
  <respUnit>All woman factor for total population</respUnit>
  <txt>AWFACTT is a 5-digit variable (in IPUMS-DHS) with 2 implied decimal places that is used to create total population estimates for all women of childbearing age, for those samples interviewing only ever-married women. A post from DHS senior staff member Tom Pullum on the DHS Users Forum explains, 

The all-woman factors are needed when you are trying to estimate something for all women, but you have to work with ever-married women because that's all you have in the sample. An example is when you want to estimate a fertility rate for all women but you only have the births and exposure for ever-married women.  You have to assume that (a) never-married women have no births and (b) awfact/100 is a multiplier to inflate exposure for ever-married women to exposure for all women.   

For surveys that used a sampling frame of all women of childbearing age, AWFACTT has a value of 100 (or 1.00, with two decimal places), and thus has no effect on the survey statistics when used as a multiplier.  For samples that included only ever-married women, AWFACTT serves as a multiplier to create total population figures for all women of childbearing age, following the assumptions noted above.

The width of AWFACTT ranges from a low of 3 to a high of 5 in the original DHS files; see Comparability for further discussion.</txt>
  <codInstr>AWFACTT is a 5-digit numeric variable with 2 implied decimal places. See the variable description for directions on the use of AWFACTT.</codInstr>
  <concept>
    <title>Weights and subsample selection Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_MENSELHH" name="W_MENSELHH" files="W" intrvl="discrete">
  <labl>Household selected for men's/husband's survey (individual-level)</labl>
  <imputation>Household selected for men's/husband's survey (individual-level)</imputation>
  <security>Household selected for men's/husband's survey (individual-level)</security>
  <embargo>Household selected for men's/husband's survey (individual-level)</embargo>
  <respUnit>Household selected for men's/husband's survey (individual-level)</respUnit>
  <qstn>
    <qstnLit>HUSBAND INTERVIEW:

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>Not selected</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Selected for men's survey</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Selected for husband's survey</labl>
  </catgry>
  <txt>MENSELHH (HV027) indicates whether the respondent's household was selected for the men's or husband's survey. Samples including neither a men's survey nor a husband's survey are excluded from this variable in IPUMS-DHS.</txt>
  <concept>
    <title>Weights and subsample selection Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_INTYEAR" name="W_INTYEAR" files="W" intrvl="discrete">
  <labl>Year of interview</labl>
  <imputation>Year of interview</imputation>
  <security>Year of interview</security>
  <embargo>Year of interview</embargo>
  <respUnit>Year of interview</respUnit>
  <txt>INTYEAR (V007) reports the year the interview took place. The dates reported in INTYEAR are based on the Gregorian calendar.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_MONTHINT" name="W_MONTHINT" files="W" intrvl="discrete">
  <labl>Month of interview</labl>
  <imputation>Month of interview</imputation>
  <security>Month of interview</security>
  <embargo>Month of interview</embargo>
  <respUnit>Month of interview</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <txt>MONTHINT (V006) reports the month when the interview took place.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_INTDAY" name="W_INTDAY" files="W" intrvl="discrete">
  <labl>Day of interview</labl>
  <imputation>Day of interview</imputation>
  <security>Day of interview</security>
  <embargo>Day of interview</embargo>
  <respUnit>Day of interview</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <txt>INTDAY (V016) reports the day of the month on which the interview took place. INTDAY uses dates expressed in the Gregorian calendar.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_INTDATECMC" name="W_INTDATECMC" files="W" intrvl="contin">
  <labl>Century month date of interview</labl>
  <imputation>Century month date of interview</imputation>
  <security>Century month date of interview</security>
  <embargo>Century month date of interview</embargo>
  <respUnit>Century month date of interview</respUnit>
  <txt>INTDATECMC (V008) reports century month code for the date on which the interview took place. 

Century month codes (CMC) are particularly useful for checking the consistency of dates, calculating intervals between events, and imputing dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC  minus ( ( Year - 1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006). [URL omitted from DDI.].

The century month codes reported in INTDATECMC are calculated using the Gregorian calculator.</txt>
  <codInstr>INTDATECMC (V008) is a 4-digit variable.</codInstr>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_INTSTARTCMC" name="W_INTSTARTCMC" files="W" intrvl="discrete">
  <labl>Century month code (CMC) for start of survey</labl>
  <imputation>Century month code (CMC) for start of survey</imputation>
  <security>Century month code (CMC) for start of survey</security>
  <embargo>Century month code (CMC) for start of survey</embargo>
  <respUnit>Century month code (CMC) for start of survey</respUnit>
  <catgry>
    <catValu>1415</catValu>
    <labl>1415</labl>
  </catgry>
  <catgry>
    <catValu>1414</catValu>
    <labl>1414</labl>
  </catgry>
  <catgry>
    <catValu>1399</catValu>
    <labl>1399</labl>
  </catgry>
  <catgry>
    <catValu>1397</catValu>
    <labl>1397</labl>
  </catgry>
  <catgry>
    <catValu>1408</catValu>
    <labl>1408</labl>
  </catgry>
  <catgry>
    <catValu>1402</catValu>
    <labl>1402</labl>
  </catgry>
  <catgry>
    <catValu>1398</catValu>
    <labl>1398</labl>
  </catgry>
  <catgry>
    <catValu>1393</catValu>
    <labl>1393</labl>
  </catgry>
  <catgry>
    <catValu>1392</catValu>
    <labl>1392</labl>
  </catgry>
  <catgry>
    <catValu>1391</catValu>
    <labl>1391</labl>
  </catgry>
  <catgry>
    <catValu>1390</catValu>
    <labl>1390</labl>
  </catgry>
  <catgry>
    <catValu>1388</catValu>
    <labl>1388</labl>
  </catgry>
  <catgry>
    <catValu>1387</catValu>
    <labl>1387</labl>
  </catgry>
  <catgry>
    <catValu>1386</catValu>
    <labl>1386</labl>
  </catgry>
  <catgry>
    <catValu>1381</catValu>
    <labl>1381</labl>
  </catgry>
  <catgry>
    <catValu>1379</catValu>
    <labl>1379</labl>
  </catgry>
  <catgry>
    <catValu>1378</catValu>
    <labl>1378</labl>
  </catgry>
  <catgry>
    <catValu>1377</catValu>
    <labl>1377</labl>
  </catgry>
  <catgry>
    <catValu>1374</catValu>
    <labl>1374</labl>
  </catgry>
  <catgry>
    <catValu>1373</catValu>
    <labl>1373</labl>
  </catgry>
  <catgry>
    <catValu>1372</catValu>
    <labl>1372</labl>
  </catgry>
  <catgry>
    <catValu>1369</catValu>
    <labl>1369</labl>
  </catgry>
  <catgry>
    <catValu>1365</catValu>
    <labl>1365</labl>
  </catgry>
  <catgry>
    <catValu>1364</catValu>
    <labl>1364</labl>
  </catgry>
  <catgry>
    <catValu>1361</catValu>
    <labl>1361</labl>
  </catgry>
  <catgry>
    <catValu>1358</catValu>
    <labl>1358</labl>
  </catgry>
  <catgry>
    <catValu>1355</catValu>
    <labl>1355</labl>
  </catgry>
  <catgry>
    <catValu>1354</catValu>
    <labl>1354</labl>
  </catgry>
  <catgry>
    <catValu>1353</catValu>
    <labl>1353</labl>
  </catgry>
  <catgry>
    <catValu>1350</catValu>
    <labl>1350</labl>
  </catgry>
  <catgry>
    <catValu>1346</catValu>
    <labl>1346</labl>
  </catgry>
  <catgry>
    <catValu>1344</catValu>
    <labl>1344</labl>
  </catgry>
  <catgry>
    <catValu>1339</catValu>
    <labl>1339</labl>
  </catgry>
  <catgry>
    <catValu>1338</catValu>
    <labl>1338</labl>
  </catgry>
  <catgry>
    <catValu>1333</catValu>
    <labl>1333</labl>
  </catgry>
  <catgry>
    <catValu>1332</catValu>
    <labl>1332</labl>
  </catgry>
  <catgry>
    <catValu>1330</catValu>
    <labl>1330</labl>
  </catgry>
  <catgry>
    <catValu>1329</catValu>
    <labl>1329</labl>
  </catgry>
  <catgry>
    <catValu>1328</catValu>
    <labl>1328</labl>
  </catgry>
  <catgry>
    <catValu>1327</catValu>
    <labl>1327</labl>
  </catgry>
  <catgry>
    <catValu>1326</catValu>
    <labl>1326</labl>
  </catgry>
  <catgry>
    <catValu>1325</catValu>
    <labl>1325</labl>
  </catgry>
  <catgry>
    <catValu>1320</catValu>
    <labl>1320</labl>
  </catgry>
  <catgry>
    <catValu>1318</catValu>
    <labl>1318</labl>
  </catgry>
  <catgry>
    <catValu>1307</catValu>
    <labl>1307</labl>
  </catgry>
  <catgry>
    <catValu>1305</catValu>
    <labl>1305</labl>
  </catgry>
  <catgry>
    <catValu>1302</catValu>
    <labl>1302</labl>
  </catgry>
  <catgry>
    <catValu>1299</catValu>
    <labl>1299</labl>
  </catgry>
  <catgry>
    <catValu>1296</catValu>
    <labl>1296</labl>
  </catgry>
  <catgry>
    <catValu>1290</catValu>
    <labl>1290</labl>
  </catgry>
  <catgry>
    <catValu>1288</catValu>
    <labl>1288</labl>
  </catgry>
  <catgry>
    <catValu>1287</catValu>
    <labl>1287</labl>
  </catgry>
  <catgry>
    <catValu>1285</catValu>
    <labl>1285</labl>
  </catgry>
  <catgry>
    <catValu>1283</catValu>
    <labl>1283</labl>
  </catgry>
  <catgry>
    <catValu>1281</catValu>
    <labl>1281</labl>
  </catgry>
  <catgry>
    <catValu>1280</catValu>
    <labl>1280</labl>
  </catgry>
  <catgry>
    <catValu>1277</catValu>
    <labl>1277</labl>
  </catgry>
  <catgry>
    <catValu>1274</catValu>
    <labl>1274</labl>
  </catgry>
  <catgry>
    <catValu>1273</catValu>
    <labl>1273</labl>
  </catgry>
  <catgry>
    <catValu>1271</catValu>
    <labl>1271</labl>
  </catgry>
  <catgry>
    <catValu>1269</catValu>
    <labl>1269</labl>
  </catgry>
  <catgry>
    <catValu>1268</catValu>
    <labl>1268</labl>
  </catgry>
  <catgry>
    <catValu>1264</catValu>
    <labl>1264</labl>
  </catgry>
  <catgry>
    <catValu>1262</catValu>
    <labl>1262</labl>
  </catgry>
  <catgry>
    <catValu>1258</catValu>
    <labl>1258</labl>
  </catgry>
  <catgry>
    <catValu>1257</catValu>
    <labl>1257</labl>
  </catgry>
  <catgry>
    <catValu>1255</catValu>
    <labl>1255</labl>
  </catgry>
  <catgry>
    <catValu>1250</catValu>
    <labl>1250</labl>
  </catgry>
  <catgry>
    <catValu>1249</catValu>
    <labl>1249</labl>
  </catgry>
  <catgry>
    <catValu>1248</catValu>
    <labl>1248</labl>
  </catgry>
  <catgry>
    <catValu>1247</catValu>
    <labl>1247</labl>
  </catgry>
  <catgry>
    <catValu>1246</catValu>
    <labl>1246</labl>
  </catgry>
  <catgry>
    <catValu>1244</catValu>
    <labl>1244</labl>
  </catgry>
  <catgry>
    <catValu>1243</catValu>
    <labl>1243</labl>
  </catgry>
  <catgry>
    <catValu>1242</catValu>
    <labl>1242</labl>
  </catgry>
  <catgry>
    <catValu>1241</catValu>
    <labl>1241</labl>
  </catgry>
  <catgry>
    <catValu>1240</catValu>
    <labl>1240</labl>
  </catgry>
  <catgry>
    <catValu>1239</catValu>
    <labl>1239</labl>
  </catgry>
  <catgry>
    <catValu>1231</catValu>
    <labl>1231</labl>
  </catgry>
  <catgry>
    <catValu>1223</catValu>
    <labl>1223</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>1220</labl>
  </catgry>
  <catgry>
    <catValu>1213</catValu>
    <labl>1213</labl>
  </catgry>
  <catgry>
    <catValu>1209</catValu>
    <labl>1209</labl>
  </catgry>
  <catgry>
    <catValu>1207</catValu>
    <labl>1207</labl>
  </catgry>
  <catgry>
    <catValu>1206</catValu>
    <labl>1206</labl>
  </catgry>
  <catgry>
    <catValu>1202</catValu>
    <labl>1202</labl>
  </catgry>
  <catgry>
    <catValu>1199</catValu>
    <labl>1199</labl>
  </catgry>
  <catgry>
    <catValu>1197</catValu>
    <labl>1197</labl>
  </catgry>
  <catgry>
    <catValu>1193</catValu>
    <labl>1193</labl>
  </catgry>
  <catgry>
    <catValu>1191</catValu>
    <labl>1191</labl>
  </catgry>
  <catgry>
    <catValu>1187</catValu>
    <labl>1187</labl>
  </catgry>
  <catgry>
    <catValu>1185</catValu>
    <labl>1185</labl>
  </catgry>
  <catgry>
    <catValu>1184</catValu>
    <labl>1184</labl>
  </catgry>
  <catgry>
    <catValu>1179</catValu>
    <labl>1179</labl>
  </catgry>
  <catgry>
    <catValu>1178</catValu>
    <labl>1178</labl>
  </catgry>
  <catgry>
    <catValu>1177</catValu>
    <labl>1177</labl>
  </catgry>
  <catgry>
    <catValu>1173</catValu>
    <labl>1173</labl>
  </catgry>
  <catgry>
    <catValu>1170</catValu>
    <labl>1170</labl>
  </catgry>
  <catgry>
    <catValu>1167</catValu>
    <labl>1167</labl>
  </catgry>
  <catgry>
    <catValu>1165</catValu>
    <labl>1165</labl>
  </catgry>
  <catgry>
    <catValu>1164</catValu>
    <labl>1164</labl>
  </catgry>
  <catgry>
    <catValu>1163</catValu>
    <labl>1163</labl>
  </catgry>
  <catgry>
    <catValu>1160</catValu>
    <labl>1160</labl>
  </catgry>
  <catgry>
    <catValu>1159</catValu>
    <labl>1159</labl>
  </catgry>
  <catgry>
    <catValu>1158</catValu>
    <labl>1158</labl>
  </catgry>
  <catgry>
    <catValu>1153</catValu>
    <labl>1153</labl>
  </catgry>
  <catgry>
    <catValu>1151</catValu>
    <labl>1151</labl>
  </catgry>
  <catgry>
    <catValu>1143</catValu>
    <labl>1143</labl>
  </catgry>
  <catgry>
    <catValu>1135</catValu>
    <labl>1135</labl>
  </catgry>
  <catgry>
    <catValu>1134</catValu>
    <labl>1134</labl>
  </catgry>
  <catgry>
    <catValu>1127</catValu>
    <labl>1127</labl>
  </catgry>
  <catgry>
    <catValu>1125</catValu>
    <labl>1125</labl>
  </catgry>
  <catgry>
    <catValu>1124</catValu>
    <labl>1124</labl>
  </catgry>
  <catgry>
    <catValu>1118</catValu>
    <labl>1118</labl>
  </catgry>
  <catgry>
    <catValu>1116</catValu>
    <labl>1116</labl>
  </catgry>
  <catgry>
    <catValu>1115</catValu>
    <labl>1115</labl>
  </catgry>
  <catgry>
    <catValu>1113</catValu>
    <labl>1113</labl>
  </catgry>
  <catgry>
    <catValu>1111</catValu>
    <labl>1111</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>1110</labl>
  </catgry>
  <catgry>
    <catValu>1109</catValu>
    <labl>1109</labl>
  </catgry>
  <catgry>
    <catValu>1108</catValu>
    <labl>1108</labl>
  </catgry>
  <catgry>
    <catValu>1107</catValu>
    <labl>1107</labl>
  </catgry>
  <catgry>
    <catValu>1105</catValu>
    <labl>1105</labl>
  </catgry>
  <catgry>
    <catValu>1103</catValu>
    <labl>1103</labl>
  </catgry>
  <catgry>
    <catValu>1102</catValu>
    <labl>1102</labl>
  </catgry>
  <catgry>
    <catValu>1096</catValu>
    <labl>1096</labl>
  </catgry>
  <catgry>
    <catValu>1092</catValu>
    <labl>1092</labl>
  </catgry>
  <catgry>
    <catValu>1090</catValu>
    <labl>1090</labl>
  </catgry>
  <catgry>
    <catValu>1084</catValu>
    <labl>1084</labl>
  </catgry>
  <catgry>
    <catValu>1079</catValu>
    <labl>1079</labl>
  </catgry>
  <catgry>
    <catValu>1068</catValu>
    <labl>1068</labl>
  </catgry>
  <catgry>
    <catValu>1066</catValu>
    <labl>1066</labl>
  </catgry>
  <catgry>
    <catValu>1065</catValu>
    <labl>1065</labl>
  </catgry>
  <catgry>
    <catValu>1062</catValu>
    <labl>1062</labl>
  </catgry>
  <catgry>
    <catValu>1058</catValu>
    <labl>1058</labl>
  </catgry>
  <catgry>
    <catValu>1049</catValu>
    <labl>1049</labl>
  </catgry>
  <catgry>
    <catValu>1047</catValu>
    <labl>1047</labl>
  </catgry>
  <catgry>
    <catValu>1036</catValu>
    <labl>1036</labl>
  </catgry>
  <txt>INTSTARTCMC reports the century month code (CMC) for the first month the survey was fielded, according to the DHS Program website.

The contextual variables in IPUMS DHS use the month in INTSTARTCMC as the month of the survey start date. The related variable INTENDCMC reports the century month code for the last month the survey was fielded, according to the DHS Program website.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year - 1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006). [URL omitted from DDI.].

The century month codes reported in INTSTARTCMC are calculated using the Gregorian calculator.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_INTENDCMC" name="W_INTENDCMC" files="W" intrvl="discrete">
  <labl>Century month code (CMC) for end of survey</labl>
  <imputation>Century month code (CMC) for end of survey</imputation>
  <security>Century month code (CMC) for end of survey</security>
  <embargo>Century month code (CMC) for end of survey</embargo>
  <respUnit>Century month code (CMC) for end of survey</respUnit>
  <catgry>
    <catValu>1418</catValu>
    <labl>1418</labl>
  </catgry>
  <catgry>
    <catValu>1417</catValu>
    <labl>1417</labl>
  </catgry>
  <catgry>
    <catValu>1403</catValu>
    <labl>1403</labl>
  </catgry>
  <catgry>
    <catValu>1420</catValu>
    <labl>1420</labl>
  </catgry>
  <catgry>
    <catValu>1039</catValu>
    <labl>1039</labl>
  </catgry>
  <catgry>
    <catValu>1051</catValu>
    <labl>1051</labl>
  </catgry>
  <catgry>
    <catValu>1052</catValu>
    <labl>1052</labl>
  </catgry>
  <catgry>
    <catValu>1062</catValu>
    <labl>1062</labl>
  </catgry>
  <catgry>
    <catValu>1066</catValu>
    <labl>1066</labl>
  </catgry>
  <catgry>
    <catValu>1069</catValu>
    <labl>1069</labl>
  </catgry>
  <catgry>
    <catValu>1070</catValu>
    <labl>1070</labl>
  </catgry>
  <catgry>
    <catValu>1073</catValu>
    <labl>1073</labl>
  </catgry>
  <catgry>
    <catValu>1085</catValu>
    <labl>1085</labl>
  </catgry>
  <catgry>
    <catValu>1090</catValu>
    <labl>1090</labl>
  </catgry>
  <catgry>
    <catValu>1092</catValu>
    <labl>1092</labl>
  </catgry>
  <catgry>
    <catValu>1097</catValu>
    <labl>1097</labl>
  </catgry>
  <catgry>
    <catValu>1101</catValu>
    <labl>1101</labl>
  </catgry>
  <catgry>
    <catValu>1105</catValu>
    <labl>1105</labl>
  </catgry>
  <catgry>
    <catValu>1107</catValu>
    <labl>1107</labl>
  </catgry>
  <catgry>
    <catValu>1108</catValu>
    <labl>1108</labl>
  </catgry>
  <catgry>
    <catValu>1109</catValu>
    <labl>1109</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>1110</labl>
  </catgry>
  <catgry>
    <catValu>1114</catValu>
    <labl>1114</labl>
  </catgry>
  <catgry>
    <catValu>1115</catValu>
    <labl>1115</labl>
  </catgry>
  <catgry>
    <catValu>1118</catValu>
    <labl>1118</labl>
  </catgry>
  <catgry>
    <catValu>1119</catValu>
    <labl>1119</labl>
  </catgry>
  <catgry>
    <catValu>1124</catValu>
    <labl>1124</labl>
  </catgry>
  <catgry>
    <catValu>1125</catValu>
    <labl>1125</labl>
  </catgry>
  <catgry>
    <catValu>1126</catValu>
    <labl>1126</labl>
  </catgry>
  <catgry>
    <catValu>1130</catValu>
    <labl>1130</labl>
  </catgry>
  <catgry>
    <catValu>1131</catValu>
    <labl>1131</labl>
  </catgry>
  <catgry>
    <catValu>1139</catValu>
    <labl>1139</labl>
  </catgry>
  <catgry>
    <catValu>1148</catValu>
    <labl>1148</labl>
  </catgry>
  <catgry>
    <catValu>1153</catValu>
    <labl>1153</labl>
  </catgry>
  <catgry>
    <catValu>1157</catValu>
    <labl>1157</labl>
  </catgry>
  <catgry>
    <catValu>1158</catValu>
    <labl>1158</labl>
  </catgry>
  <catgry>
    <catValu>1160</catValu>
    <labl>1160</labl>
  </catgry>
  <catgry>
    <catValu>1163</catValu>
    <labl>1163</labl>
  </catgry>
  <catgry>
    <catValu>1165</catValu>
    <labl>1165</labl>
  </catgry>
  <catgry>
    <catValu>1167</catValu>
    <labl>1167</labl>
  </catgry>
  <catgry>
    <catValu>1168</catValu>
    <labl>1168</labl>
  </catgry>
  <catgry>
    <catValu>1171</catValu>
    <labl>1171</labl>
  </catgry>
  <catgry>
    <catValu>1174</catValu>
    <labl>1174</labl>
  </catgry>
  <catgry>
    <catValu>1176</catValu>
    <labl>1176</labl>
  </catgry>
  <catgry>
    <catValu>1182</catValu>
    <labl>1182</labl>
  </catgry>
  <catgry>
    <catValu>1183</catValu>
    <labl>1183</labl>
  </catgry>
  <catgry>
    <catValu>1185</catValu>
    <labl>1185</labl>
  </catgry>
  <catgry>
    <catValu>1187</catValu>
    <labl>1187</labl>
  </catgry>
  <catgry>
    <catValu>1190</catValu>
    <labl>1190</labl>
  </catgry>
  <catgry>
    <catValu>1191</catValu>
    <labl>1191</labl>
  </catgry>
  <catgry>
    <catValu>1193</catValu>
    <labl>1193</labl>
  </catgry>
  <catgry>
    <catValu>1195</catValu>
    <labl>1195</labl>
  </catgry>
  <catgry>
    <catValu>1199</catValu>
    <labl>1199</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>1200</labl>
  </catgry>
  <catgry>
    <catValu>1203</catValu>
    <labl>1203</labl>
  </catgry>
  <catgry>
    <catValu>1204</catValu>
    <labl>1204</labl>
  </catgry>
  <catgry>
    <catValu>1205</catValu>
    <labl>1205</labl>
  </catgry>
  <catgry>
    <catValu>1207</catValu>
    <labl>1207</labl>
  </catgry>
  <catgry>
    <catValu>1208</catValu>
    <labl>1208</labl>
  </catgry>
  <catgry>
    <catValu>1211</catValu>
    <labl>1211</labl>
  </catgry>
  <catgry>
    <catValu>1212</catValu>
    <labl>1212</labl>
  </catgry>
  <catgry>
    <catValu>1215</catValu>
    <labl>1215</labl>
  </catgry>
  <catgry>
    <catValu>1217</catValu>
    <labl>1217</labl>
  </catgry>
  <catgry>
    <catValu>1218</catValu>
    <labl>1218</labl>
  </catgry>
  <catgry>
    <catValu>1223</catValu>
    <labl>1223</labl>
  </catgry>
  <catgry>
    <catValu>1229</catValu>
    <labl>1229</labl>
  </catgry>
  <catgry>
    <catValu>1233</catValu>
    <labl>1233</labl>
  </catgry>
  <catgry>
    <catValu>1242</catValu>
    <labl>1242</labl>
  </catgry>
  <catgry>
    <catValu>1244</catValu>
    <labl>1244</labl>
  </catgry>
  <catgry>
    <catValu>1245</catValu>
    <labl>1245</labl>
  </catgry>
  <catgry>
    <catValu>1246</catValu>
    <labl>1246</labl>
  </catgry>
  <catgry>
    <catValu>1247</catValu>
    <labl>1247</labl>
  </catgry>
  <catgry>
    <catValu>1249</catValu>
    <labl>1249</labl>
  </catgry>
  <catgry>
    <catValu>1250</catValu>
    <labl>1250</labl>
  </catgry>
  <catgry>
    <catValu>1251</catValu>
    <labl>1251</labl>
  </catgry>
  <catgry>
    <catValu>1253</catValu>
    <labl>1253</labl>
  </catgry>
  <catgry>
    <catValu>1256</catValu>
    <labl>1256</labl>
  </catgry>
  <catgry>
    <catValu>1261</catValu>
    <labl>1261</labl>
  </catgry>
  <catgry>
    <catValu>1262</catValu>
    <labl>1262</labl>
  </catgry>
  <catgry>
    <catValu>1265</catValu>
    <labl>1265</labl>
  </catgry>
  <catgry>
    <catValu>1266</catValu>
    <labl>1266</labl>
  </catgry>
  <catgry>
    <catValu>1267</catValu>
    <labl>1267</labl>
  </catgry>
  <catgry>
    <catValu>1268</catValu>
    <labl>1268</labl>
  </catgry>
  <catgry>
    <catValu>1272</catValu>
    <labl>1272</labl>
  </catgry>
  <catgry>
    <catValu>1274</catValu>
    <labl>1274</labl>
  </catgry>
  <catgry>
    <catValu>1275</catValu>
    <labl>1275</labl>
  </catgry>
  <catgry>
    <catValu>1276</catValu>
    <labl>1276</labl>
  </catgry>
  <catgry>
    <catValu>1277</catValu>
    <labl>1277</labl>
  </catgry>
  <catgry>
    <catValu>1280</catValu>
    <labl>1280</labl>
  </catgry>
  <catgry>
    <catValu>1282</catValu>
    <labl>1282</labl>
  </catgry>
  <catgry>
    <catValu>1283</catValu>
    <labl>1283</labl>
  </catgry>
  <catgry>
    <catValu>1284</catValu>
    <labl>1284</labl>
  </catgry>
  <catgry>
    <catValu>1286</catValu>
    <labl>1286</labl>
  </catgry>
  <catgry>
    <catValu>1287</catValu>
    <labl>1287</labl>
  </catgry>
  <catgry>
    <catValu>1292</catValu>
    <labl>1292</labl>
  </catgry>
  <catgry>
    <catValu>1294</catValu>
    <labl>1294</labl>
  </catgry>
  <catgry>
    <catValu>1295</catValu>
    <labl>1295</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>1300</labl>
  </catgry>
  <catgry>
    <catValu>1302</catValu>
    <labl>1302</labl>
  </catgry>
  <catgry>
    <catValu>1306</catValu>
    <labl>1306</labl>
  </catgry>
  <catgry>
    <catValu>1307</catValu>
    <labl>1307</labl>
  </catgry>
  <catgry>
    <catValu>1310</catValu>
    <labl>1310</labl>
  </catgry>
  <catgry>
    <catValu>1316</catValu>
    <labl>1316</labl>
  </catgry>
  <catgry>
    <catValu>1320</catValu>
    <labl>1320</labl>
  </catgry>
  <catgry>
    <catValu>1321</catValu>
    <labl>1321</labl>
  </catgry>
  <catgry>
    <catValu>1325</catValu>
    <labl>1325</labl>
  </catgry>
  <catgry>
    <catValu>1331</catValu>
    <labl>1331</labl>
  </catgry>
  <catgry>
    <catValu>1333</catValu>
    <labl>1333</labl>
  </catgry>
  <catgry>
    <catValu>1335</catValu>
    <labl>1335</labl>
  </catgry>
  <catgry>
    <catValu>1336</catValu>
    <labl>1336</labl>
  </catgry>
  <catgry>
    <catValu>1337</catValu>
    <labl>1337</labl>
  </catgry>
  <catgry>
    <catValu>1338</catValu>
    <labl>1338</labl>
  </catgry>
  <catgry>
    <catValu>1340</catValu>
    <labl>1340</labl>
  </catgry>
  <catgry>
    <catValu>1343</catValu>
    <labl>1343</labl>
  </catgry>
  <catgry>
    <catValu>1344</catValu>
    <labl>1344</labl>
  </catgry>
  <catgry>
    <catValu>1347</catValu>
    <labl>1347</labl>
  </catgry>
  <catgry>
    <catValu>1349</catValu>
    <labl>1349</labl>
  </catgry>
  <catgry>
    <catValu>1350</catValu>
    <labl>1350</labl>
  </catgry>
  <catgry>
    <catValu>1354</catValu>
    <labl>1354</labl>
  </catgry>
  <catgry>
    <catValu>1356</catValu>
    <labl>1356</labl>
  </catgry>
  <catgry>
    <catValu>1358</catValu>
    <labl>1358</labl>
  </catgry>
  <catgry>
    <catValu>1360</catValu>
    <labl>1360</labl>
  </catgry>
  <catgry>
    <catValu>1362</catValu>
    <labl>1362</labl>
  </catgry>
  <catgry>
    <catValu>1365</catValu>
    <labl>1365</labl>
  </catgry>
  <catgry>
    <catValu>1367</catValu>
    <labl>1367</labl>
  </catgry>
  <catgry>
    <catValu>1370</catValu>
    <labl>1370</labl>
  </catgry>
  <catgry>
    <catValu>1372</catValu>
    <labl>1372</labl>
  </catgry>
  <catgry>
    <catValu>1374</catValu>
    <labl>1374</labl>
  </catgry>
  <catgry>
    <catValu>1378</catValu>
    <labl>1378</labl>
  </catgry>
  <catgry>
    <catValu>1379</catValu>
    <labl>1379</labl>
  </catgry>
  <catgry>
    <catValu>1380</catValu>
    <labl>1380</labl>
  </catgry>
  <catgry>
    <catValu>1384</catValu>
    <labl>1384</labl>
  </catgry>
  <catgry>
    <catValu>1390</catValu>
    <labl>1390</labl>
  </catgry>
  <catgry>
    <catValu>1392</catValu>
    <labl>1392</labl>
  </catgry>
  <catgry>
    <catValu>1394</catValu>
    <labl>1394</labl>
  </catgry>
  <catgry>
    <catValu>1398</catValu>
    <labl>1398</labl>
  </catgry>
  <catgry>
    <catValu>1399</catValu>
    <labl>1399</labl>
  </catgry>
  <catgry>
    <catValu>1402</catValu>
    <labl>1402</labl>
  </catgry>
  <catgry>
    <catValu>1404</catValu>
    <labl>1404</labl>
  </catgry>
  <catgry>
    <catValu>1405</catValu>
    <labl>1405</labl>
  </catgry>
  <catgry>
    <catValu>1406</catValu>
    <labl>1406</labl>
  </catgry>
  <catgry>
    <catValu>1416</catValu>
    <labl>1416</labl>
  </catgry>
  <txt>INTENDCMC reports the century month code (CMC) for the last month the survey was fielded, according to the DHS Program website.

The related variable INTSTARTCMC reports the century month code for the first month the survey was fielded, according to the DHS Program website. The contextual variables in IPUMS DHS use the month in INTSTARTCMC as the month of the survey start date.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year - 1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006). [URL omitted from DDI.].

The century month codes reported in INTENDCMC are calculated using the Gregorian calculator.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_INTSTART" name="W_INTSTART" files="W" intrvl="discrete">
  <labl>Time interview started (hhmm - 24 hour clock)</labl>
  <imputation>Time interview started (hhmm - 24 hour clock)</imputation>
  <security>Time interview started (hhmm - 24 hour clock)</security>
  <embargo>Time interview started (hhmm - 24 hour clock)</embargo>
  <respUnit>Time interview started (hhmm - 24 hour clock)</respUnit>
  <qstn>
    <qstnLit>101) RECORD TIME

HOUR: ___
MINUTES: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>INTSTART (V801) reports the time of the start of the interview. The first two digits give the time in hours using the 24-hour clock, and the last two digits give the minutes within that hour. For example, a code of "1349" indicates the interview began at 1:49 P.M.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_INTEND" name="W_INTEND" files="W" intrvl="discrete">
  <labl>Time interview ended (hhmm - 24 hour clock)</labl>
  <imputation>Time interview ended (hhmm - 24 hour clock)</imputation>
  <security>Time interview ended (hhmm - 24 hour clock)</security>
  <embargo>Time interview ended (hhmm - 24 hour clock)</embargo>
  <respUnit>Time interview ended (hhmm - 24 hour clock)</respUnit>
  <qstn>
    <qstnLit>819) RECORD TIME

HOUR: ___
MINUTES: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>INTEND (V802) reports the time of the end of the interview. The first two digits give the time in hours using the 24-hour clock, and the last two digits give the minutes within that hour. For example, a code of "1349" indicates the interview ended at 1:49 P.M.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_INTDURATION" name="W_INTDURATION" files="W" intrvl="discrete">
  <labl>Length of interview (minutes)</labl>
  <imputation>Length of interview (minutes)</imputation>
  <security>Length of interview (minutes)</security>
  <embargo>Length of interview (minutes)</embargo>
  <respUnit>Length of interview (minutes)</respUnit>
  <qstn>
    <qstnLit>819) RECORD TIME

HOUR: ___
MINUTES: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>0 minutes</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>95+</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>2+ visits</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>INTDURATION (V803) reports the duration of the female interview (in minutes). The duration is top-coded at 95 minutes. Interviews that required more than one visit (INTVISITNO (V804) are coded as "96" for "2+ visits."

INTDURATION is calculated based on the interview's start and end times in INTSTART (V801) and INTEND (V802).</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_INTVISITNO" name="W_INTVISITNO" files="W" intrvl="discrete">
  <labl>Number of visits for the interview</labl>
  <imputation>Number of visits for the interview</imputation>
  <security>Number of visits for the interview</security>
  <embargo>Number of visits for the interview</embargo>
  <respUnit>Number of visits for the interview</respUnit>
  <qstn>
    <qstnLit>TOTAL NUMBER OF VISITS ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>INTVISITNO (V804) reports the number of visits required to complete the female interview.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_INTRESULT" name="W_INTRESULT" files="W" intrvl="discrete">
  <labl>Result of individual interview</labl>
  <imputation>Result of individual interview</imputation>
  <security>Result of individual interview</security>
  <embargo>Result of individual interview</embargo>
  <respUnit>Result of individual interview</respUnit>
  <qstn>
    <qstnLit>COMPLETED 1
NOT AT HOME 2
POSTPONED 3
REFUSED 4
PARTIALLY FILLED OUT 5
OTHER (SPECIFY): ___ 6</qstnLit>
  </qstn>
  <catgry>
    <catValu>7</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Respondent Incapacitated</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Partly completed</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Refused</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Postponed</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Not at home</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Completed</labl>
  </catgry>
  <txt>INTRESULT (V015) reports the result of the individual interview. Code 1 represents a completed interview.  Only completed interview cases are included in the DHS women's individual recode files, which provide the source material for IPUMS-DHS.</txt>
  <concept>
    <title>General technical Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_EVMARALLSAMP" name="W_EVMARALLSAMP" files="W" intrvl="discrete">
  <labl>Ever-married or all-women sample</labl>
  <imputation>Ever-married or all-women sample</imputation>
  <security>Ever-married or all-women sample</security>
  <embargo>Ever-married or all-women sample</embargo>
  <respUnit>Ever-married or all-women sample</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>All women sample</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Ever-married women sample</labl>
  </catgry>
  <txt>EVMARALLSAMP (V020) indicates whether the sample includes only ever-married women or includes all women of childbearing age.</txt>
  <concept>
    <title>General technical Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_INTERVIEWERIDIR" name="W_INTERVIEWERIDIR" files="W" intrvl="discrete">
  <labl>Identification number of interviewer, women's survey</labl>
  <imputation>Identification number of interviewer, women's survey</imputation>
  <security>Identification number of interviewer, women's survey</security>
  <embargo>Identification number of interviewer, women's survey</embargo>
  <respUnit>Identification number of interviewer, women's survey</respUnit>
  <qstn>
    <qstnLit>INTERVIEWER:
(REPEAT FOR SECOND AND THIRD INTERVIEWERS)
DATE__
DAY__
MONTH__
YEAR__
INTERVIEWER NAME___
RESULTS___

NEXT VISIT [FOR INTERVIEWERS 1 AND 2]:
DATE__
TIME__

FINAL VISIT:
DAY__
MONTH__
YEAR 19__
INTERVIEWER__
RESULT__</qstnLit>
  </qstn>
  <txt>INTERVIEWERIDIR (V028) reports the interviewer identification code for the interviewer conducting the individual women's interviews for women of childbearing age. Codes are country- and sample-specific; a given numeric code in one survey refers to a different person than the same numeric code in another survey. Numbering of interviewer codes is not necessarily consecutive; some surveys use "0" as an identification code, for example, while others begin with a 3-digit number. Using the interviewer identification codes, researchers can evaluate whether the quality of responses (e.g., the number of "missing" cases) depended on the person conducting the interview.</txt>
  <concept>
    <title>General technical Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_INTERVIEWERIDHH" name="W_INTERVIEWERIDHH" files="W" intrvl="discrete">
  <labl>Identification number of interviewer, household survey</labl>
  <imputation>Identification number of interviewer, household survey</imputation>
  <security>Identification number of interviewer, household survey</security>
  <embargo>Identification number of interviewer, household survey</embargo>
  <respUnit>Identification number of interviewer, household survey</respUnit>
  <qstn>
    <qstnLit>INTERVIEWER:
(REPEAT FOR SECOND AND THIRD INTERVIEWERS)
DATE__
DAY__
MONTH__
YEAR__
INTERVIEWER NAME___
RESULTS___</qstnLit>
  </qstn>
  <txt>INTERVIEWERIDHH (HV018) reports the interviewer identification code for the interviewer conducting the household survey. Codes are country- and sample-specific; a given numeric code in one survey refers to a different person than the same numeric code in another survey. Numbering of interviewer codes is not necessarily consecutive; some surveys use "0" as an identification code, for example, while others begin with a 3-digit number. Using the interviewer identification codes, researchers can evaluate whether the quality of responses (e.g., the number of "missing" cases) depended on the person conducting the interview.</txt>
  <concept>
    <title>General technical Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_URBAN" name="W_URBAN" files="W" intrvl="discrete">
  <labl>Urban-rural status</labl>
  <imputation>Urban-rural status</imputation>
  <security>Urban-rural status</security>
  <embargo>Urban-rural status</embargo>
  <respUnit>Urban-rural status</respUnit>
  <qstn>
    <qstnLit>VILLAGE/QUARTER ___

NIAMEY 1
AGADEZ, MARADI, TAHOUA, ZINDER 2
OTHER CITY 3
RURAL 4</qstnLit>
  </qstn>
  <catgry>
    <catValu>2</catValu>
    <labl>Rural</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Urban</labl>
  </catgry>
  <txt>URBAN (V025) indicates whether the person's de facto residence was in an urban or rural location. The definition of urban varies across countries. See Comparability.</txt>
  <concept>
    <title>Geography, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DEFACTORES" name="W_DEFACTORES" files="W" intrvl="discrete">
  <labl>De facto place of residence</labl>
  <imputation>De facto place of residence</imputation>
  <security>De facto place of residence</security>
  <embargo>De facto place of residence</embargo>
  <respUnit>De facto place of residence</respUnit>
  <qstn>
    <qstnLit>VILLAGE/QUARTER ___

NIAMEY 1
AGADEZ, MARADI, TAHOUA, ZINDER 2
OTHER CITY 3
RURAL 4</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>City</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Capital or other large city</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Other city</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Town or countryside</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Town</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Countryside</labl>
  </catgry>
  <txt>DEFACTORES (V026) reports the type of place--city, town, or countryside--where the person was interviewed.</txt>
  <concept>
    <title>Geography, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_RESIDEINTYR" name="W_RESIDEINTYR" files="W" intrvl="discrete">
  <labl>Years lived in place of residence</labl>
  <imputation>Years lived in place of residence</imputation>
  <security>Years lived in place of residence</security>
  <embargo>Years lived in place of residence</embargo>
  <respUnit>Years lived in place of residence</respUnit>
  <qstn>
    <qstnLit>103) For how long have you been a long-term resident of (NAME OF CURRENT RESIDENCE)?

NUMBER OF YEARS: ___
ALWAYS 95 (GO TO 105)
JUST VISITING 96 (GO TO 105)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Always</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Visitor</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RESIDEINTYR (V104) reports the number of years the woman had been living continuously in the village, town, or city where she was interviewed.</txt>
  <concept>
    <title>Migration Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PREVRESTYP" name="W_PREVRESTYP" files="W" intrvl="discrete">
  <labl>Type of place of previous residence</labl>
  <imputation>Type of place of previous residence</imputation>
  <security>Type of place of previous residence</security>
  <embargo>Type of place of previous residence</embargo>
  <respUnit>Type of place of previous residence</respUnit>
  <qstn>
    <qstnLit>104) Just before moving here, did you live in the city of Niamey, in another capital in Agadez, Maradi, Tahous, Zinder or other large foreign city, in a town or the country?

NIAMEY/OTHER CAPITAL 1
AGADEZ/MARADI/TAOUA/ZINDER/OTHER LARGE FOREIGN CITY 2
TOWN 3
COUNTRY 4</qstnLit>
  </qstn>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Other or abroad</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Town or countryside</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Other city</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Capital or other large city</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>City</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Abroad</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Town</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Countryside</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Separated camp</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Tribal area</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Informal settlement</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>Other, unspecified</labl>
  </catgry>
  <txt>PREVRESTYP (V105) reports the type of place--city, town, countryside, or a site abroad--where the person lived just before moving to the current place of residence.</txt>
  <concept>
    <title>Migration Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDRESTYP" name="W_KIDRESTYP" files="W" intrvl="discrete">
  <labl>Childhood place of residence</labl>
  <imputation>Childhood place of residence</imputation>
  <security>Childhood place of residence</security>
  <embargo>Childhood place of residence</embargo>
  <respUnit>Childhood place of residence</respUnit>
  <qstn>
    <qstnLit>102) To begin, I'd like to ask you some questions about yourself and your household.
During the majority of the first 12 years of your life, did you live in the city of Niamey, in another capital in Agadez, Maradi, Tahous, Zinder or other large foreign city, in a town or the country?

NIAMEY/OTHER CAPITAL 1
AGADEZ/MARADI/TAOUA/ZINDER/OTHER LARGE FOREIGN CITY 2
TOWN 3
COUNTRY 4</qstnLit>
  </qstn>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Town or countryside</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Other city or town</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Other city</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Capital or large city</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>City</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Abroad</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Town</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Countryside</labl>
  </catgry>
  <txt>KIDRESTYP (V103) reports the type of place--city, town, countryside, or somewhere abroad--where the woman lived for most of her childhood (usually defined as prior to age 12). Due to country- and survey-level variation in data collection, IPUMS-DHS uses composite coding to maximize comparability across samples for this variable.</txt>
  <concept>
    <title>Migration Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_GEO_NE1992_2012" name="W_GEO_NE1992_2012" files="W" intrvl="discrete">
  <labl>Niger regions, 1992-2012 [integrated; GIS]</labl>
  <imputation>Niger regions, 1992-2012 [integrated; GIS]</imputation>
  <security>Niger regions, 1992-2012 [integrated; GIS]</security>
  <embargo>Niger regions, 1992-2012 [integrated; GIS]</embargo>
  <respUnit>Niger regions, 1992-2012 [integrated; GIS]</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>Tahoua/Agadez</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Zinder/Diffa</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Dossa</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Maradi</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Tillaberi</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Niamey</labl>
  </catgry>
  <txt>GEO_ NE1992_2012 indicates the region of Niger where the respondent was interviewed. The variable is integrated to yield units with consistent boundaries across samples.

Labels identify the modern geographic units (regions) contained in each integrated region. Each sample also has its own non-integrated geography variable. The 1992, 2006, and 2012 samples have greater geographic detail available in their sample-specific variables.

An integrated GIS map (in shapefile format) for Niger can be downloaded here [URL omitted from DDI.].</txt>
  <concept>
    <title>Integrated geography Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_GEO_NE1992" name="W_GEO_NE1992" files="W" intrvl="discrete">
  <labl>Niger regions, 1992 [GIS]</labl>
  <imputation>Niger regions, 1992 [GIS]</imputation>
  <security>Niger regions, 1992 [GIS]</security>
  <embargo>Niger regions, 1992 [GIS]</embargo>
  <respUnit>Niger regions, 1992 [GIS]</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>Niamey</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Agadez</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Diffa</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Dossa</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Maradi</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Tahoua</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Tillaberi</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Zinder</labl>
  </catgry>
  <txt>GEO_NE1992 (V101_NE1992) indicates the region of Niger where the respondent was interviewed. DHS units in the 1992 Niger survey are equivalent to grouped regions.

Other sample years have their own sample-specific geography variables. There is also an integrated variable, GEO_NE1992_2012, that provides spatially consistent units over time.

A GIS map for GEO_NE1992 (in shapefile format) can be downloaded from the DHS Program Spatial Data Repository [URL omitted from DDI.] Boundaries page.</txt>
  <concept>
    <title>Single sample geography Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGE" name="W_AGE" files="W" intrvl="discrete">
  <labl>Age</labl>
  <imputation>Age</imputation>
  <security>Age</security>
  <embargo>Age</embargo>
  <respUnit>Age</respUnit>
  <qstn>
    <qstnLit>106) How old were you at your last birthday?

COMPARE AND CORRECT IF 105 AND 106 ARE INCOMPATIBLE.

AGE IN COMPLETED YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <txt>AGE (V012) reports the woman's age. DHS surveys collect information about the woman's age through questions about age at last birthday and date of birth.  DHS Recode Manuals provide the following information about how the AGE variable is calculated:

Current age in completed years is calculated from the century month code of the date of birth of the respondent (V011) and the century month code of the date of interview (V008). In a few cases the age in the data file will be different from that reported by the respondent when the respondent's birthday was in the month of interview, but she had not yet had her birthday. If the respondent correctly reported her age at her last birthday (and not her age at her next birthday) then the calculated age was rounded up from the reported age, to avoid inconsistencies between the age and the century month code for the birth.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGE5YEAR" name="W_AGE5YEAR" files="W" intrvl="discrete">
  <labl>Age in 5 year groups</labl>
  <imputation>Age in 5 year groups</imputation>
  <security>Age in 5 year groups</security>
  <embargo>Age in 5 year groups</embargo>
  <respUnit>Age in 5 year groups</respUnit>
  <qstn>
    <qstnLit>106) How old were you at your last birthday?

COMPARE AND CORRECT IF 105 AND 106 ARE INCOMPATIBLE.

AGE IN COMPLETED YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>10 to 14</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>10 to 14</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12 to 14</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13 to 14</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>15-19</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>20-24</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>25-29</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>30-34</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>35-39</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>40-44</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>45-49</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>50+</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>50-54</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>55-59</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>60-64</labl>
  </catgry>
  <txt>AGE5YEAR (V013) reports the woman's age in 5-year groups, based on data from the AGE (V012) variable. The age range of women interviewed varies across samples. See Comparability.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHMO" name="W_BIRTHMO" files="W" intrvl="discrete">
  <labl>Woman's month of birth</labl>
  <imputation>Woman's month of birth</imputation>
  <security>Woman's month of birth</security>
  <embargo>Woman's month of birth</embargo>
  <respUnit>Woman's month of birth</respUnit>
  <qstn>
    <qstnLit>105) In what month and year were you born?

MONTH: ___
DON'T KNOW 98

YEAR: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <txt>BIRTHMO (V009) reports the woman's month of birth.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHYEAR" name="W_BIRTHYEAR" files="W" intrvl="discrete">
  <labl>Woman's year of birth</labl>
  <imputation>Woman's year of birth</imputation>
  <security>Woman's year of birth</security>
  <embargo>Woman's year of birth</embargo>
  <respUnit>Woman's year of birth</respUnit>
  <qstn>
    <qstnLit>105) In what month and year were you born?

MONTH: ___
DON'T KNOW 98

YEAR: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1952</catValu>
    <labl>1952</labl>
  </catgry>
  <catgry>
    <catValu>1951</catValu>
    <labl>1951</labl>
  </catgry>
  <catgry>
    <catValu>1950</catValu>
    <labl>1950</labl>
  </catgry>
  <catgry>
    <catValu>1949</catValu>
    <labl>1949</labl>
  </catgry>
  <catgry>
    <catValu>1948</catValu>
    <labl>1948</labl>
  </catgry>
  <catgry>
    <catValu>1947</catValu>
    <labl>1947</labl>
  </catgry>
  <catgry>
    <catValu>1946</catValu>
    <labl>1946</labl>
  </catgry>
  <catgry>
    <catValu>1945</catValu>
    <labl>1945</labl>
  </catgry>
  <catgry>
    <catValu>1944</catValu>
    <labl>1944</labl>
  </catgry>
  <catgry>
    <catValu>1943</catValu>
    <labl>1943</labl>
  </catgry>
  <catgry>
    <catValu>1942</catValu>
    <labl>1942</labl>
  </catgry>
  <catgry>
    <catValu>1941</catValu>
    <labl>1941</labl>
  </catgry>
  <catgry>
    <catValu>1940</catValu>
    <labl>1940</labl>
  </catgry>
  <catgry>
    <catValu>1939</catValu>
    <labl>1939</labl>
  </catgry>
  <catgry>
    <catValu>1938</catValu>
    <labl>1938</labl>
  </catgry>
  <catgry>
    <catValu>1937</catValu>
    <labl>1937</labl>
  </catgry>
  <catgry>
    <catValu>1936</catValu>
    <labl>1936</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <txt>BIRTHYEAR (V010) reports the woman's year of birth.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DOBCMC" name="W_DOBCMC" files="W" intrvl="contin">
  <labl>Respondent's date of birth, in century months</labl>
  <imputation>Respondent's date of birth, in century months</imputation>
  <security>Respondent's date of birth, in century months</security>
  <embargo>Respondent's date of birth, in century months</embargo>
  <respUnit>Respondent's date of birth, in century months</respUnit>
  <qstn>
    <qstnLit>105) In what month and year were you born?

MONTH: ___
DON'T KNOW 98

YEAR: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <txt>DOBCMC (V011) reports the century month code (CMC) for the woman's date of birth.

Century month codes (CMC) are particularly useful for checking the consistency of dates, calculating intervals between events, and imputing dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year - 1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006) [URL omitted from DDI.].</txt>
  <codInstr>DOBCMC (V011) is a 4-digit variable.</codInstr>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DOBINFORESP" name="W_DOBINFORESP" files="W" intrvl="discrete">
  <labl>Information given on respondent's date of birth</labl>
  <imputation>Information given on respondent's date of birth</imputation>
  <security>Information given on respondent's date of birth</security>
  <embargo>Information given on respondent's date of birth</embargo>
  <respUnit>Information given on respondent's date of birth</respUnit>
  <qstn>
    <qstnLit>105) In what month and year were you born?

MONTH: ___
DON'T KNOW 98

YEAR: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Month and year</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Month and age, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Year and age, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Year and age, year ignored</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Year only, age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Age only, year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Month only, age and year imputed</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Season and year</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>None reported, all imputed</labl>
  </catgry>
  <txt>DOBINFORESP (V014) reports the completeness of information about the respondent's age and date of birth. A code of 0 indicates the month and the year were reported, and no data were imputed.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_RESIDENT" name="W_RESIDENT" files="W" intrvl="discrete">
  <labl>Usual resident or visitor</labl>
  <imputation>Usual resident or visitor</imputation>
  <security>Usual resident or visitor</security>
  <embargo>Usual resident or visitor</embargo>
  <respUnit>Usual resident or visitor</respUnit>
  <qstn>
    <qstnLit>4) RESIDENCE:
Does (NAME) normally live here?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Usual resident</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Visitor</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RESIDENT (V135) indicates whether the woman was a usual resident of the household or was just visiting there. As defined by the RESIDENT variable, a visitor could potentially reside in the city, town, or village where the interview took place but would have answered "No" to the question, "Does (NAME) usually live here [in this dwelling unit]?" on the household questionnaire.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_RELATE" name="W_RELATE" files="W" intrvl="discrete">
  <labl>Respondent's relationship to HH head</labl>
  <imputation>Respondent's relationship to HH head</imputation>
  <security>Respondent's relationship to HH head</security>
  <embargo>Respondent's relationship to HH head</embargo>
  <respUnit>Respondent's relationship to HH head</respUnit>
  <qstn>
    <qstnLit>3) RELATIONSHIP TO HEAD OF HOUSEHOLD:
What is the familial relation between (NAME) and the head of household?

HEAD OF HOUSEHOLD 01
WIFE OR HUSBAND 02
SON OR DAUGHTER 03
SON OR DAUGHTER-IN-LAW 04
GRANDSON OR GRANDDAUGHTER 05
FATHER OR MOTHER 06
PARENT-IN-LAW 07
BROTHER OR SISTER 08
CO-SPOUSE 09
OTHER RELATIVE 10
ADOPTED/FOSTER/STEP CHILD 11
NO FAMILY RELATIONSHIP 12
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Head</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Wife</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Daughter or son</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Daughter- or son-in-law</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Grandchild</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Mother or father</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Parent-in-law</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Sister or brother</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Co-spouse</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Adopted/foster/step child</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Adopted/foster child</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Stepchild</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Other relative</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Niece or nephew by blood</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Niece or nephew by marriage</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Niece or nephew unspecified</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Sibling-in-law</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Aunt or uncle</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Grandparent</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Nonrelative</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Domestic servant/employee</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Herdboy</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RELATE (V150) reports the woman's relationship to the head of the household, based on a question in the household questionnaire.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PREGNANT" name="W_PREGNANT" files="W" intrvl="discrete">
  <labl>Currently pregnant</labl>
  <imputation>Currently pregnant</imputation>
  <security>Currently pregnant</security>
  <embargo>Currently pregnant</embargo>
  <respUnit>Currently pregnant</respUnit>
  <qstn>
    <qstnLit>223) Are you pregnant now?

YES 1
NO 2 (GO TO 226)
UNSURE 8 (GO TO 226)</qstnLit>
  </qstn>
  <catgry>
    <labl>No/unsure</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>PREGNANT (V213) indicates whether the respondent is currently pregnant.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DURCURPREG" name="W_DURCURPREG" files="W" intrvl="discrete">
  <labl>Duration of current pregnancy</labl>
  <imputation>Duration of current pregnancy</imputation>
  <security>Duration of current pregnancy</security>
  <embargo>Duration of current pregnancy</embargo>
  <respUnit>Duration of current pregnancy</respUnit>
  <qstn>
    <qstnLit>224) How many months pregnant are you?

MONTHS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For currently pregnant women, DURCURPREG (V214) reports the imputed duration of the woman's current pregnancy.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_RELIGION" name="W_RELIGION" files="W" intrvl="discrete">
  <labl>Religion</labl>
  <imputation>Religion</imputation>
  <security>Religion</security>
  <embargo>Religion</embargo>
  <respUnit>Religion</respUnit>
  <qstn>
    <qstnLit>115) What is your religion?

MUSLIM 1
CHRISTIAN 2
ANIMIST 3
OTHER (SPECIFY): ___ 4</qstnLit>
  </qstn>
  <catgry>
    <catValu>0000</catValu>
    <labl>NO RELIGION</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>MUSLIM</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>CHRISTIAN</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Catholic</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Orthodox</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Protestant</labl>
  </catgry>
  <catgry>
    <catValu>2310</catValu>
    <labl>Lutheran</labl>
  </catgry>
  <catgry>
    <catValu>2320</catValu>
    <labl>Anglican</labl>
  </catgry>
  <catgry>
    <catValu>2330</catValu>
    <labl>Presbyterian</labl>
  </catgry>
  <catgry>
    <catValu>2340</catValu>
    <labl>Baptist/Seventh-day Adventist</labl>
  </catgry>
  <catgry>
    <catValu>2341</catValu>
    <labl>Baptist</labl>
  </catgry>
  <catgry>
    <catValu>2342</catValu>
    <labl>Seventh-day Adventist</labl>
  </catgry>
  <catgry>
    <catValu>2350</catValu>
    <labl>Apostolic</labl>
  </catgry>
  <catgry>
    <catValu>2360</catValu>
    <labl>Salvation Army</labl>
  </catgry>
  <catgry>
    <catValu>2370</catValu>
    <labl>Methodist</labl>
  </catgry>
  <catgry>
    <catValu>2380</catValu>
    <labl>Pentacostal-based</labl>
  </catgry>
  <catgry>
    <catValu>2381</catValu>
    <labl>Pentacostal</labl>
  </catgry>
  <catgry>
    <catValu>2382</catValu>
    <labl>Celestial Church of Christ</labl>
  </catgry>
  <catgry>
    <catValu>2383</catValu>
    <labl>Universal</labl>
  </catgry>
  <catgry>
    <catValu>2384</catValu>
    <labl>Assemblies of God</labl>
  </catgry>
  <catgry>
    <catValu>2390</catValu>
    <labl>Other Protestant</labl>
  </catgry>
  <catgry>
    <catValu>2391</catValu>
    <labl>Evangelical</labl>
  </catgry>
  <catgry>
    <catValu>2392</catValu>
    <labl>Lesotho Evangelical Church</labl>
  </catgry>
  <catgry>
    <catValu>2393</catValu>
    <labl>Kimbanguist (Congo, Democratic Republic)</labl>
  </catgry>
  <catgry>
    <catValu>2400</catValu>
    <labl>Nontrinitarian</labl>
  </catgry>
  <catgry>
    <catValu>2410</catValu>
    <labl>Jehovah's Witness</labl>
  </catgry>
  <catgry>
    <catValu>2900</catValu>
    <labl>Other Christian, country-specific</labl>
  </catgry>
  <catgry>
    <catValu>2901</catValu>
    <labl>African Zionist (Mozambique)</labl>
  </catgry>
  <catgry>
    <catValu>2902</catValu>
    <labl>Mammon (Uganda)</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>BUDDHIST/NEO-BUDDHIST</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Buddhist</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>HINDU</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>JEWISH</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>TRADITIONAL/SPIRITUAL/ANIMIST</labl>
  </catgry>
  <catgry>
    <catValu>6100</catValu>
    <labl>Traditional</labl>
  </catgry>
  <catgry>
    <catValu>6200</catValu>
    <labl>Spiritual</labl>
  </catgry>
  <catgry>
    <catValu>6300</catValu>
    <labl>Animist</labl>
  </catgry>
  <catgry>
    <catValu>6400</catValu>
    <labl>Specified Traditional</labl>
  </catgry>
  <catgry>
    <catValu>6401</catValu>
    <labl>Donyi-Polo</labl>
  </catgry>
  <catgry>
    <catValu>6402</catValu>
    <labl>Sanamahi</labl>
  </catgry>
  <catgry>
    <catValu>6403</catValu>
    <labl>Vodun</labl>
  </catgry>
  <catgry>
    <catValu>7000</catValu>
    <labl>OTHER (SPECIFIED)</labl>
  </catgry>
  <catgry>
    <catValu>7100</catValu>
    <labl>Baha'i</labl>
  </catgry>
  <catgry>
    <catValu>7200</catValu>
    <labl>Sikh</labl>
  </catgry>
  <catgry>
    <catValu>7300</catValu>
    <labl>Zoroastrian</labl>
  </catgry>
  <catgry>
    <catValu>7400</catValu>
    <labl>Jain</labl>
  </catgry>
  <catgry>
    <catValu>7900</catValu>
    <labl>Country-specific other</labl>
  </catgry>
  <catgry>
    <catValu>7901</catValu>
    <labl>Sect (Burundi)</labl>
  </catgry>
  <catgry>
    <catValu>7902</catValu>
    <labl>Bundu dia Kongo (Congo, Democratic Republic)</labl>
  </catgry>
  <catgry>
    <catValu>7903</catValu>
    <labl>Vuvamu (Congo, Democratic Republic)</labl>
  </catgry>
  <catgry>
    <catValu>7904</catValu>
    <labl>Kirat Mundhum (Nepal)</labl>
  </catgry>
  <catgry>
    <catValu>9000</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>9001</catValu>
    <labl>Religion 1</labl>
  </catgry>
  <catgry>
    <catValu>9002</catValu>
    <labl>Religion 2</labl>
  </catgry>
  <catgry>
    <catValu>9003</catValu>
    <labl>Religion 3</labl>
  </catgry>
  <catgry>
    <catValu>9004</catValu>
    <labl>Religion 4</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>RELIGION (V130) reports the respondent's religion. While the categories and codes for the religion variable in the original DHS files are country-specific, IPUMS-DHS uses a 4-digit composite coding system to fit these diverse categories into a single variable without losing information. Â See Comparability.</txt>
  <concept>
    <title>Ethnicity and religion Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ETHNICITYNE" name="W_ETHNICITYNE" files="W" intrvl="discrete">
  <labl>Ethnicity, Niger</labl>
  <imputation>Ethnicity, Niger</imputation>
  <security>Ethnicity, Niger</security>
  <embargo>Ethnicity, Niger</embargo>
  <respUnit>Ethnicity, Niger</respUnit>
  <qstn>
    <qstnLit>117) What is your ethnicity?

ARABE 01
DJERMA 02
GOURMANTH 03
HAUSSA 04
KAMOURI 05
MOSSI 06
PEULH 07
TOUAREG BELLA 08
TOUBOU 09
OTHER (SPECIFY): ___ 10</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Arab</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Djerma</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Gourmanthe</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Haoussa</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Kanouri</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Peulh</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Toureg</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Toubou</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Mossi</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Other non-Niger</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>ETHNICITYNE (V131NE) is a variable specific to Niger that reports responses to a question about the woman's ethnicity.  The groups identified vary across samples.  See Comparability.</txt>
  <concept>
    <title>Ethnicity and religion Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_MARSTAT" name="W_MARSTAT" files="W" intrvl="discrete">
  <labl>Woman's current marital or union status</labl>
  <imputation>Woman's current marital or union status</imputation>
  <security>Woman's current marital or union status</security>
  <embargo>Woman's current marital or union status</embargo>
  <respUnit>Woman's current marital or union status</respUnit>
  <qstn>
    <qstnLit>501) Are you now married or in a union with a man?

YES 1(GO TO 504)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Never married</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Married or living together</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Married</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Living together</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Formerly in union</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Widowed</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Divorced</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Separated/not living together</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Unconsummated marriage</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Deserted</labl>
  </catgry>
  <txt>MARSTAT (V501) reports the woman's current marital status. Response categories and question wording vary across surveys.  See Comparability.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CURRMARR" name="W_CURRMARR" files="W" intrvl="discrete">
  <labl>Woman never, currently, or formerly married</labl>
  <imputation>Woman never, currently, or formerly married</imputation>
  <security>Woman never, currently, or formerly married</security>
  <embargo>Woman never, currently, or formerly married</embargo>
  <respUnit>Woman never, currently, or formerly married</respUnit>
  <qstn>
    <qstnLit>501) Are you now married or in a union with a man?

YES 1(GO TO 504)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>Never married</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Currently married</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Formerly married</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>CURRMARR (V502) reports the woman's marital/union status as "Never married," "Currently married," or "Formerly married."

"Never married" includes women who have never lived with a partner. "Currently married" includes women who are married and those who are not formally married but are living with a partner. "Formerly married" includes women who are widowed, divorced, or separated, or who have formerly lived with a partner. For samples restricted to ever-married women, only women who are formally married (not cohabiting) are included as "married."</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_UNION1MORE" name="W_UNION1MORE" files="W" intrvl="discrete">
  <labl>Woman had one or more than one union</labl>
  <imputation>Woman had one or more than one union</imputation>
  <security>Woman had one or more than one union</security>
  <embargo>Woman had one or more than one union</embargo>
  <respUnit>Woman had one or more than one union</respUnit>
  <qstn>
    <qstnLit>508) Have you been married or lived with a man only once, or more than one?

ONCE 1
MORE THAN ONCE 2</qstnLit>
  </qstn>
  <catgry>
    <labl>One</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>More than one</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who had ever been married or lived with a man, UNION1MORE (V503) indicates whether the respondent had been in one or more than one marriage/union.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGEFRSTMAR" name="W_AGEFRSTMAR" files="W" intrvl="discrete">
  <labl>Age at first marriage or cohabitation</labl>
  <imputation>Age at first marriage or cohabitation</imputation>
  <security>Age at first marriage or cohabitation</security>
  <embargo>Age at first marriage or cohabitation</embargo>
  <respUnit>Age at first marriage or cohabitation</respUnit>
  <qstn>
    <qstnLit>510) How old were you when you started living with him?

AGE: ___
DON'T KNOW AGE 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Marriage not consummated</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>AGEFRSTMAR (V511) reports the woman's age at the start of her first marriage or union. This usually refers to when the woman first started to live with her first husband or partner. According to the DHS Recode Manuals, "Age at start of first marriage or union is calculated from the century month code of the date of start of first marriage or union and the century month code of the date of birth of the respondent."</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DURMARGRP" name="W_DURMARGRP" files="W" intrvl="discrete">
  <labl>Marital or cohabitation duration (grouped)</labl>
  <imputation>Marital or cohabitation duration (grouped)</imputation>
  <security>Marital or cohabitation duration (grouped)</security>
  <embargo>Marital or cohabitation duration (grouped)</embargo>
  <respUnit>Marital or cohabitation duration (grouped)</respUnit>
  <qstn>
    <qstnLit>509) In what month and year did you start living with him?

MONTH: ___
DON'T KNOW MONTHS 98

YEAR: ___
DON'T KNOW YEARS 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Never married</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>0 to 4</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>5 to 9</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>10 to 14</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>15 to 19</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>20 to 24</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>25 to 29</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>30+</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Marriage not consummated</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>DURMARGRP (V513) reports the number of years elapsed since the woman's first marriage or cohabiting union until the date of the survey interview, in five-year groups. The duration is reported irrespective of whether the respondent is still married or in a union with her first partner.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_MAR1STMO" name="W_MAR1STMO" files="W" intrvl="discrete">
  <labl>Month of first marriage or cohabitation</labl>
  <imputation>Month of first marriage or cohabitation</imputation>
  <security>Month of first marriage or cohabitation</security>
  <embargo>Month of first marriage or cohabitation</embargo>
  <respUnit>Month of first marriage or cohabitation</respUnit>
  <qstn>
    <qstnLit>509) In what month and year did you start living with him?

MONTH: ___
DON'T KNOW MONTHS 98

YEAR: ___
DON'T KNOW YEARS 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Marriage not consummated</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who had ever been married or lived with a man, MAR1STMO (V507) reports the month of their first marriage or (for most samples) unmarried cohabitation. The year of the woman's first marriage/union is reported in MAR1STYR (V508).</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_MAR1STYR" name="W_MAR1STYR" files="W" intrvl="discrete">
  <labl>Year of first marriage or cohabitation</labl>
  <imputation>Year of first marriage or cohabitation</imputation>
  <security>Year of first marriage or cohabitation</security>
  <embargo>Year of first marriage or cohabitation</embargo>
  <respUnit>Year of first marriage or cohabitation</respUnit>
  <qstn>
    <qstnLit>509) In what month and year did you start living with him?

MONTH: ___
DON'T KNOW MONTHS 98

YEAR: ___
DON'T KNOW YEARS 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>1943</catValu>
    <labl>1943</labl>
  </catgry>
  <catgry>
    <catValu>1944</catValu>
    <labl>1944</labl>
  </catgry>
  <catgry>
    <catValu>1945</catValu>
    <labl>1945</labl>
  </catgry>
  <catgry>
    <catValu>1946</catValu>
    <labl>1946</labl>
  </catgry>
  <catgry>
    <catValu>1947</catValu>
    <labl>1947</labl>
  </catgry>
  <catgry>
    <catValu>1948</catValu>
    <labl>1948</labl>
  </catgry>
  <catgry>
    <catValu>1949</catValu>
    <labl>1949</labl>
  </catgry>
  <catgry>
    <catValu>1950</catValu>
    <labl>1950</labl>
  </catgry>
  <catgry>
    <catValu>1951</catValu>
    <labl>1951</labl>
  </catgry>
  <catgry>
    <catValu>1952</catValu>
    <labl>1952</labl>
  </catgry>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>2017</labl>
  </catgry>
  <catgry>
    <catValu>2018</catValu>
    <labl>2018</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Marriage not consummated</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who had ever been married or lived with a man, MAR1STYR (V508) reports the year of their first marriage or (for most samples) unmarried cohabitation. The month of the woman's first marriage/union is reported in MAR1STMO (V507).</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_YRSTO1STMAR" name="W_YRSTO1STMAR" files="W" intrvl="discrete">
  <labl>Years since starting date of 1st marriage or union</labl>
  <imputation>Years since starting date of 1st marriage or union</imputation>
  <security>Years since starting date of 1st marriage or union</security>
  <embargo>Years since starting date of 1st marriage or union</embargo>
  <respUnit>Years since starting date of 1st marriage or union</respUnit>
  <qstn>
    <qstnLit>509) In what month and year did you start living with him?

MONTH: ___
DON'T KNOW MONTHS 98

YEAR: ___
DON'T KNOW YEARS 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Marriage not consummated</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who had ever been married or lived with a man, YRSTO1STMAR (V512) reports the number of years from the start of the woman's first marriage/union to the date of the survey interview. The calculation is made using century month codes for both dates.

For the month and year of first marriage/union, see MAR1STMO (V507) and MAR1STYR (V508) respectively.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_MAR1STCMC" name="W_MAR1STCMC" files="W" intrvl="discrete">
  <labl>Date of first marriage or cohabitation (CMC)</labl>
  <imputation>Date of first marriage or cohabitation (CMC)</imputation>
  <security>Date of first marriage or cohabitation (CMC)</security>
  <embargo>Date of first marriage or cohabitation (CMC)</embargo>
  <respUnit>Date of first marriage or cohabitation (CMC)</respUnit>
  <qstn>
    <qstnLit>509) In what month and year did you start living with him?

MONTH: ___
DON'T KNOW MONTHS 98

YEAR: ___
DON'T KNOW YEARS 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>9996</catValu>
    <labl>Not consummated</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>MAR1STCMC (V509) reports the century month code (CMC) for the date of the woman's first marriage or cohabitation. 

Century month codes (CMC) are particularly useful checking the consistency of dates, calculating intervals between events, and imputing dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC  -  1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC  -  ( ( Year  -  1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006) [URL omitted from DDI.].</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_MAR1STDATINFO" name="W_MAR1STDATINFO" files="W" intrvl="discrete">
  <labl>Completeness of information, date of first marriage/union</labl>
  <imputation>Completeness of information, date of first marriage/union</imputation>
  <security>Completeness of information, date of first marriage/union</security>
  <embargo>Completeness of information, date of first marriage/union</embargo>
  <respUnit>Completeness of information, date of first marriage/union</respUnit>
  <qstn>
    <qstnLit>509) In what month and year did you start living with him?

MONTH: ___
DON'T KNOW MONTHS 98

YEAR: ___
DON'T KNOW YEARS 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Month and year reported</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Month and age reported, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Year and age reported, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Year reported, age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Age reported, year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Month reported, age and year imputed</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Year and age reported, year ignored</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Season and year reported</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>All values imputed</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>All reported, inconsistent</labl>
  </catgry>
  <txt>MAR1STDATINFO (V510) reports the completeness of information for the date of the woman's first marriage or cohabitation. See Comparability.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_MARTO1STBORNMO" name="W_MARTO1STBORNMO" files="W" intrvl="discrete">
  <labl>Months between respondent's 1st marriage and 1st birth</labl>
  <imputation>Months between respondent's 1st marriage and 1st birth</imputation>
  <security>Months between respondent's 1st marriage and 1st birth</security>
  <embargo>Months between respondent's 1st marriage and 1st birth</embargo>
  <respUnit>Months between respondent's 1st marriage and 1st birth</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>998</catValu>
    <labl>First birth prior to first marriage</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>MARTO1STBORNMO (V221) reports the number of months between the woman's first marriage (i.e., formal marriage or first episode of living with a man) and her first birth. For women whose first birth occurred before their first marriage, this variable is coded as '998.'</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WIFENUM" name="W_WIFENUM" files="W" intrvl="discrete">
  <labl>Number of other wives</labl>
  <imputation>Number of other wives</imputation>
  <security>Number of other wives</security>
  <embargo>Number of other wives</embargo>
  <respUnit>Number of other wives</respUnit>
  <qstn>
    <qstnLit>506) How many other wives does he have?

NUMBER: ___
DON'T KNOW 98 (GO TO 508)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No other wives</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Has other wives, dk number</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who were currently married or living with a man, WIFENUM (V505) reports the number of other wives (or co-resident partners) their husband/partner had.  Question wording varied across samples. See Comparability.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WIFERANK" name="W_WIFERANK" files="W" intrvl="discrete">
  <labl>Wife rank number</labl>
  <imputation>Wife rank number</imputation>
  <security>Wife rank number</security>
  <embargo>Wife rank number</embargo>
  <respUnit>Wife rank number</respUnit>
  <qstn>
    <qstnLit>507) Are you the first, second, third'?spouse?

RANK: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women married to or living with a man who had more than one wife/partner, WIFERANK (V506) reports the woman's rank among her husband's/partner's wives/partners.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_HUSBINHOME" name="W_HUSBINHOME" files="W" intrvl="discrete">
  <labl>Husband/partner lives in woman's household</labl>
  <imputation>Husband/partner lives in woman's household</imputation>
  <security>Husband/partner lives in woman's household</security>
  <embargo>Husband/partner lives in woman's household</embargo>
  <respUnit>Husband/partner lives in woman's household</respUnit>
  <qstn>
    <qstnLit>504) Does your husband/partner live with you, or is he staying elsewhere?

LIVING WITH HER 1
STAYING ELSEWHERE 2</qstnLit>
  </qstn>
  <catgry>
    <labl>Living with woman</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Staying elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who were currently married or living with a man, HUSBINHOME (V504) indicates whether the husband/partner lived with the woman or stayed elsewhere.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CHEB" name="W_CHEB" files="W" intrvl="discrete">
  <labl>Total children ever born</labl>
  <imputation>Total children ever born</imputation>
  <security>Total children ever born</security>
  <embargo>Total children ever born</embargo>
  <respUnit>Total children ever born</respUnit>
  <qstn>
    <qstnLit>209) CHECK 208:

I want to make sure I understand: You have had (TOTAL) ___ births in your life. Is that correct?

YES: ___ (GO TO 210)
NO: ___ (PROBE AND CORRECT 201-208 AS NECESSARY)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (Not in universe)</labl>
  </catgry>
  <txt>CHEB (V201) reports the total number of children ever born to the respondent.  The number reported in CHEB is the sum of a series of variables covering the total number of sons and daughters who are living at home, living away from home, or who have died (V202 to V207).   

The number of births reported in CHEB will match the number of entries in the birth history (V224) for up to 20 births.  If the woman reported more than 20 births, then the number for CHEB will exceed the number of births in the birth history, but such cases are rare.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TOTBIRTHIST" name="W_TOTBIRTHIST" files="W" intrvl="discrete">
  <labl>Number of entries in the birth history</labl>
  <imputation>Number of entries in the birth history</imputation>
  <security>Number of entries in the birth history</security>
  <embargo>Number of entries in the birth history</embargo>
  <respUnit>Number of entries in the birth history</respUnit>
  <qstn>
    <qstnLit>211) Now I would like to talk to you about your children, whether they are still alive or not, beginning with the first birth that you had.

(IN 212 WRITE THE NAME OF EACH CHILD, WRITING THE NAMES OF TWINS OR TRIPLETS ON SEPARATE LINES)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TOTBIRTHIST (V224) reports the number of entries in the woman respondent's birth history. 

For up to 20 births, the birth history contains information for each of the respondent's births. In those rare cases when the respondent had more than 20 births, the birth history lists the last 19 births and the first birth.  

In cases where the women had fewer than 20 births, the number reported in TOTBIRTHIST will match the number reported in CHEB (V201), the total number of children ever born to the respondent.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_SONSATHOME" name="W_SONSATHOME" files="W" intrvl="discrete">
  <labl>Number of own sons living at home</labl>
  <imputation>Number of own sons living at home</imputation>
  <security>Number of own sons living at home</security>
  <embargo>Number of own sons living at home</embargo>
  <respUnit>Number of own sons living at home</respUnit>
  <qstn>
    <qstnLit>203) How many sons live with you?
And how many daughters?

IF NONE, ENTER '00'.

SONS AT HOME: ___

DAUGHTERS AT HOME: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>SONSATHOME (V202) reports the number of sons to whom the woman has given birth who are currently living with her. 

The related variable SONSAWAYHOME (V204) reports the number of sons to whom the woman has given birth and are still alive, but who are not currently living with her.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DAUSATHOME" name="W_DAUSATHOME" files="W" intrvl="discrete">
  <labl>Number of own daughters living at home</labl>
  <imputation>Number of own daughters living at home</imputation>
  <security>Number of own daughters living at home</security>
  <embargo>Number of own daughters living at home</embargo>
  <respUnit>Number of own daughters living at home</respUnit>
  <qstn>
    <qstnLit>204) Have you given birth to sons or daughters who are still living but do not currently live with you?

YES 1
NO 2 (GO TO 206)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>DAUSATHOME (V203) reports the number of daughters to whom the woman has given birth who are currently living with her. 

The related variable DAUSAWAYHOME (V205) reports the number of daughters to whom the woman has given birth and are still alive, but who are not currently living with her.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_SONSAWAYHOME" name="W_SONSAWAYHOME" files="W" intrvl="discrete">
  <labl>Number of own sons living away from home</labl>
  <imputation>Number of own sons living away from home</imputation>
  <security>Number of own sons living away from home</security>
  <embargo>Number of own sons living away from home</embargo>
  <respUnit>Number of own sons living away from home</respUnit>
  <qstn>
    <qstnLit>205) How many sons are alive but not living with you?
And how many daughters?

IF NONE, ENTER '00'.

SONS ELSEWHERE: ___
DAUGHTERS ELSEWHERE: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>SONSAWAYHOME (V204) reports the number of sons to whom the woman has given birth who are still alive, but who are not currently living with her. 

The related variable SONSATHOME (V202) reports the number of sons to whom the woman has given birth who are still alive, and who are currently living with her.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DAUSAWAYHOME" name="W_DAUSAWAYHOME" files="W" intrvl="discrete">
  <labl>Number of own daughters living away from home</labl>
  <imputation>Number of own daughters living away from home</imputation>
  <security>Number of own daughters living away from home</security>
  <embargo>Number of own daughters living away from home</embargo>
  <respUnit>Number of own daughters living away from home</respUnit>
  <qstn>
    <qstnLit>205) How many sons are alive but not living with you?
And how many daughters?

IF NONE, ENTER '00'.

SONS ELSEWHERE: ___
DAUGHTERS ELSEWHERE: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>DAUSAWAYHOME (V205) reports the number of daughters to whom the woman has given birth who are still alive, but who are not currently living with her. 

The related variable DAUSATHOME (V203) reports the number of daughters to whom the woman has given birth who are still alive, and who are currently living with her.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_SONSDIED" name="W_SONSDIED" files="W" intrvl="discrete">
  <labl>Number of own sons who have died</labl>
  <imputation>Number of own sons who have died</imputation>
  <security>Number of own sons who have died</security>
  <embargo>Number of own sons who have died</embargo>
  <respUnit>Number of own sons who have died</respUnit>
  <qstn>
    <qstnLit>207) In all, how many of your sons have died?
And how many of your daughters?

IF NONE, ENTER '00'.

SONS DECEASED: ___

DAUGHTERS DECEASED: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>SONSDIED (V206) reports the number of sons to whom the woman has given birth who have died.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DAUSDIED" name="W_DAUSDIED" files="W" intrvl="discrete">
  <labl>Number of own daughters who have died</labl>
  <imputation>Number of own daughters who have died</imputation>
  <security>Number of own daughters who have died</security>
  <embargo>Number of own daughters who have died</embargo>
  <respUnit>Number of own daughters who have died</respUnit>
  <qstn>
    <qstnLit>207) In all, how many of your sons have died?
And how many of your daughters?

IF NONE, ENTER '00'.

SONS DECEASED: ___

DAUGHTERS DECEASED: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>DAUSDIED (V207) reports the number of daughters to whom the woman has given birth who have died.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHSIN5YRS" name="W_BIRTHSIN5YRS" files="W" intrvl="discrete">
  <labl>Number of births in last 5 years</labl>
  <imputation>Number of births in last 5 years</imputation>
  <security>Number of births in last 5 years</security>
  <embargo>Number of births in last 5 years</embargo>
  <respUnit>Number of births in last 5 years</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6</labl>
  </catgry>
  <txt>BIRTHSIN5YRS (V208) reports the number of births the woman had in the five years prior to the survey. This statistic is calculated based on the total number of births in the 0 to 59 months prior to the month of the interview.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHSIN1YR" name="W_BIRTHSIN1YR" files="W" intrvl="discrete">
  <labl>Number of births in the past year</labl>
  <imputation>Number of births in the past year</imputation>
  <security>Number of births in the past year</security>
  <embargo>Number of births in the past year</embargo>
  <respUnit>Number of births in the past year</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <txt>BIRTHSIN1YR (V209) reports the number of births the woman had in the year prior to the survey. This statistic is calculated based on the total number of births in the months 0 to 12 (not 0 to 11) prior to the month of the interview. For example, if the survey were given in January, BIRTHSIN1YR would report the number of births the woman had between the time of the survey and the previous January.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHSIN1MO" name="W_BIRTHSIN1MO" files="W" intrvl="discrete">
  <labl>Total number of births in month of interview</labl>
  <imputation>Total number of births in month of interview</imputation>
  <security>Total number of births in month of interview</security>
  <embargo>Total number of births in month of interview</embargo>
  <respUnit>Total number of births in month of interview</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIRTHSIN1MO (V210) reports the total number of births the woman had in the month of interview.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DOB1STKIDCMC" name="W_DOB1STKIDCMC" files="W" intrvl="discrete">
  <labl>Date of respondent's first birth, in century months</labl>
  <imputation>Date of respondent's first birth, in century months</imputation>
  <security>Date of respondent's first birth, in century months</security>
  <embargo>Date of respondent's first birth, in century months</embargo>
  <respUnit>Date of respondent's first birth, in century months</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>DOB1STKIDCMC (V211) reports the century month code (CMC) for the date of the woman's first birth.

The Guide to DHS Statistics (2003) explains the use and calculation of CMC values as follows:

Century month codes (CMC) are particularly important to check consistency of dates, to calculate intervals between events, and to impute dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. That year was chosen as the reference period because all of the DHS relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 will be:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed since January 1900 to June 2002. Based on CMC it is possible to calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year - 1900 ) * 12 )</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TIMEMENSTRUATE" name="W_TIMEMENSTRUATE" files="W" intrvl="discrete">
  <labl>Time since woman's last menstrual period</labl>
  <imputation>Time since woman's last menstrual period</imputation>
  <security>Time since woman's last menstrual period</security>
  <embargo>Time since woman's last menstrual period</embargo>
  <respUnit>Time since woman's last menstrual period</respUnit>
  <qstn>
    <qstnLit>226) When did your last period start?

DAYS: ___ 1
WEEKS: ___ 2
MONTHS: ___ 3
YEARS: ___ 4
IN MENOPAUSE 994
BEFORE LAST BIRTH 995
NEVER MENSTRUATED 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Day of Interview</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>Days: 1</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 days</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 days</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 days</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 days</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 days</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46 days</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47 days</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48 days</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49 days</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50 days</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51 days</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52 days</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53 days</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54 days</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55 days</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56 days</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57 days</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58 days</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59 days</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60 days</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61 days</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62 days</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63 days</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64 days</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65 days</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66 days</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67 days</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68 days</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69 days</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70 days</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71 days</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72 days</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73 days</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74 days</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75 days</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76 days</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77 days</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78 days</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79 days</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80 days</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81 days</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82 days</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83 days</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84 days</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85 days</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86 days</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87 days</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88 days</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89 days</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90 days</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>91 days</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>92 days</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>93 days</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>94 days</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>95 days</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>96 days</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>97 days</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>98 days</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Weeks</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>201 Weeks: 1</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 weeks</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 weeks</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 weeks</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 weeks</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 weeks</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 weeks</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 weeks</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 weeks</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 weeks</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 weeks</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 weeks</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 weeks</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 weeks</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 weeks</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 weeks</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 weeks</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 weeks</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 weeks</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 weeks</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 weeks</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 weeks</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 weeks</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 weeks</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 weeks</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 weeks</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 weeks</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 weeks</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 weeks</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 weeks</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 weeks</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 weeks</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 weeks</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 weeks</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35 weeks</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36 weeks</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37 weeks</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38 weeks</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39 weeks</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40 weeks</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41 weeks</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42 weeks</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43 weeks</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44 weeks</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45 weeks</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46 weeks</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47 weeks</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48 weeks</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49 weeks</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50 weeks</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51 weeks</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52 weeks</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>53 weeks</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>54 weeks</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>55 weeks</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>56 weeks</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>57 weeks</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>58 weeks</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>59 weeks</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>60 weeks</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>61 weeks</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>62 weeks</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>63 weeks</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>64 weeks</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>65 weeks</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>66 weeks</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>67 weeks</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>68 weeks</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>69 weeks</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>70 weeks</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>71 weeks</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>72 weeks</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>73 weeks</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>74 weeks</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>75 weeks</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>76 weeks</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>77 weeks</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>78 weeks</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>79 weeks</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>80 weeks</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>81 weeks</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>82 weeks</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>83 weeks</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>84 weeks</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>85 weeks</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>86 weeks</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>87 weeks</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>88 weeks</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>89 weeks</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>90 weeks</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>91 weeks</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>92 weeks</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>93 weeks</labl>
  </catgry>
  <catgry>
    <catValu>294</catValu>
    <labl>94 weeks</labl>
  </catgry>
  <catgry>
    <catValu>295</catValu>
    <labl>95 weeks</labl>
  </catgry>
  <catgry>
    <catValu>296</catValu>
    <labl>96 weeks</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>97 weeks</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>98 weeks</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Weeks: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Months</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>301 Months: 1</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>337</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>338</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>339</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>341</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>342</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>343</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>344</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>345</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>346</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>347</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>348</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>349</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>352</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>353</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>354</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>355</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>356</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>357</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>358</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>359</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>361</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>362</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>363</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>364</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>365</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>366</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>367</catValu>
    <labl>67 months</labl>
  </catgry>
  <catgry>
    <catValu>368</catValu>
    <labl>68 months</labl>
  </catgry>
  <catgry>
    <catValu>369</catValu>
    <labl>69 months</labl>
  </catgry>
  <catgry>
    <catValu>370</catValu>
    <labl>70 months</labl>
  </catgry>
  <catgry>
    <catValu>371</catValu>
    <labl>71 months</labl>
  </catgry>
  <catgry>
    <catValu>372</catValu>
    <labl>72 months</labl>
  </catgry>
  <catgry>
    <catValu>373</catValu>
    <labl>73 months</labl>
  </catgry>
  <catgry>
    <catValu>374</catValu>
    <labl>74 months</labl>
  </catgry>
  <catgry>
    <catValu>375</catValu>
    <labl>75 months</labl>
  </catgry>
  <catgry>
    <catValu>376</catValu>
    <labl>76 months</labl>
  </catgry>
  <catgry>
    <catValu>377</catValu>
    <labl>77 months</labl>
  </catgry>
  <catgry>
    <catValu>378</catValu>
    <labl>78 months</labl>
  </catgry>
  <catgry>
    <catValu>379</catValu>
    <labl>79 months</labl>
  </catgry>
  <catgry>
    <catValu>380</catValu>
    <labl>80 months</labl>
  </catgry>
  <catgry>
    <catValu>381</catValu>
    <labl>81 months</labl>
  </catgry>
  <catgry>
    <catValu>382</catValu>
    <labl>82 months</labl>
  </catgry>
  <catgry>
    <catValu>383</catValu>
    <labl>83 months</labl>
  </catgry>
  <catgry>
    <catValu>384</catValu>
    <labl>84 months</labl>
  </catgry>
  <catgry>
    <catValu>385</catValu>
    <labl>85 months</labl>
  </catgry>
  <catgry>
    <catValu>386</catValu>
    <labl>86 months</labl>
  </catgry>
  <catgry>
    <catValu>387</catValu>
    <labl>87 months</labl>
  </catgry>
  <catgry>
    <catValu>388</catValu>
    <labl>88 months</labl>
  </catgry>
  <catgry>
    <catValu>389</catValu>
    <labl>89 months</labl>
  </catgry>
  <catgry>
    <catValu>390</catValu>
    <labl>90 months</labl>
  </catgry>
  <catgry>
    <catValu>391</catValu>
    <labl>91 months</labl>
  </catgry>
  <catgry>
    <catValu>392</catValu>
    <labl>92 months</labl>
  </catgry>
  <catgry>
    <catValu>393</catValu>
    <labl>93 months</labl>
  </catgry>
  <catgry>
    <catValu>394</catValu>
    <labl>94 months</labl>
  </catgry>
  <catgry>
    <catValu>395</catValu>
    <labl>95 months</labl>
  </catgry>
  <catgry>
    <catValu>396</catValu>
    <labl>96 months</labl>
  </catgry>
  <catgry>
    <catValu>397</catValu>
    <labl>97 months</labl>
  </catgry>
  <catgry>
    <catValu>398</catValu>
    <labl>98 months</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Months: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>400</catValu>
    <labl>Years</labl>
  </catgry>
  <catgry>
    <catValu>401</catValu>
    <labl>Years: 1</labl>
  </catgry>
  <catgry>
    <catValu>402</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>403</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>404</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>405</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>406</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>407</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>408</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>409</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>410</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>411</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>412</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>413</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>414</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>415</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>416</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>417</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>418</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>419</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>420</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>421</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>422</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>423</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>424</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>425</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>426</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>427</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>428</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>429</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>430</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>431</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>432</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>433</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>434</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>435</catValu>
    <labl>35 years</labl>
  </catgry>
  <catgry>
    <catValu>436</catValu>
    <labl>36 years</labl>
  </catgry>
  <catgry>
    <catValu>437</catValu>
    <labl>37 years</labl>
  </catgry>
  <catgry>
    <catValu>438</catValu>
    <labl>38 years</labl>
  </catgry>
  <catgry>
    <catValu>439</catValu>
    <labl>39 years</labl>
  </catgry>
  <catgry>
    <catValu>440</catValu>
    <labl>40 years</labl>
  </catgry>
  <catgry>
    <catValu>441</catValu>
    <labl>41 years</labl>
  </catgry>
  <catgry>
    <catValu>442</catValu>
    <labl>42 years</labl>
  </catgry>
  <catgry>
    <catValu>443</catValu>
    <labl>43 years</labl>
  </catgry>
  <catgry>
    <catValu>444</catValu>
    <labl>44 years</labl>
  </catgry>
  <catgry>
    <catValu>445</catValu>
    <labl>45 years</labl>
  </catgry>
  <catgry>
    <catValu>446</catValu>
    <labl>46 years</labl>
  </catgry>
  <catgry>
    <catValu>447</catValu>
    <labl>47 years</labl>
  </catgry>
  <catgry>
    <catValu>448</catValu>
    <labl>48 years</labl>
  </catgry>
  <catgry>
    <catValu>449</catValu>
    <labl>49+ years</labl>
  </catgry>
  <catgry>
    <catValu>499</catValu>
    <labl>Years: number missing</labl>
  </catgry>
  <catgry>
    <catValu>992</catValu>
    <labl>Currently pregnant</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>In menopause/had hysterectomy</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>Before last birth</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Never menstruated</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TIMEMENSTRUATE (V215) reports the time passed since the woman's last menstrual period, in days, weeks, months, or years.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_MENSTRUATE6WK" name="W_MENSTRUATE6WK" files="W" intrvl="discrete">
  <labl>Woman menstruated last 6 weeks</labl>
  <imputation>Woman menstruated last 6 weeks</imputation>
  <security>Woman menstruated last 6 weeks</security>
  <embargo>Woman menstruated last 6 weeks</embargo>
  <respUnit>Woman menstruated last 6 weeks</respUnit>
  <qstn>
    <qstnLit>226) When did your last period start?

DAYS: ___ 1
WEEKS: ___ 2
MONTHS: ___ 3
YEARS: ___ 4
IN MENOPAUSE 994
BEFORE LAST BIRTH 995
NEVER MENSTRUATED 996</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>MENSTRUATE6WK (V216) indicates whether the woman menstruated in the 6 weeks prior to the interview, as calculated from TIMEMENSTRUATE (V215).</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_OVCYCLE" name="W_OVCYCLE" files="W" intrvl="discrete">
  <labl>When in cycle thinks pregnancy is most likely</labl>
  <imputation>When in cycle thinks pregnancy is most likely</imputation>
  <security>When in cycle thinks pregnancy is most likely</security>
  <embargo>When in cycle thinks pregnancy is most likely</embargo>
  <respUnit>When in cycle thinks pregnancy is most likely</respUnit>
  <qstn>
    <qstnLit>228) During which times of the month does a woman have the greatest chance of becoming pregnant?

DURING HER PERIOD 1
RIGHT AFTER HER PERIOD HAS ENDED 2
IN THE MIDDLE OF THE CYCLE 3
JUST BEFORE HER PERIOD BEGINS 4
OTHER (SPECIFY): ___ 5
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>During her period</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>After period ended</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Middle of the cycle</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Before period begins</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>At any time</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Other/It depends</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>OVCYCLE (V217) suggests the woman's knowledge of the ovulatory cycle by reporting when she believes a woman has the greatest chance of becoming pregnant.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CHEBALIVE" name="W_CHEBALIVE" files="W" intrvl="discrete">
  <labl>Total number of living children born to respondent</labl>
  <imputation>Total number of living children born to respondent</imputation>
  <security>Total number of living children born to respondent</security>
  <embargo>Total number of living children born to respondent</embargo>
  <respUnit>Total number of living children born to respondent</respUnit>
  <qstn>
    <qstnLit>203) How many sons live with you?
And how many daughters?

IF NONE, ENTER '00'.

SONS AT HOME: ___

DAUGHTERS AT HOME: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>CHEBALIVE (V218) reports the total number of children ever born to the respondent who are currently living. The number reported in CHEBALIVE (V218) is the sum of a series of variables reporting the total number of sons and daughters who are living at home and who are living away from home (V202 to V205 - SONSATHOME, DAUSATHOME, SONSAWAYHOME, and DAUSAWAYHOME). 

The related variable CHEB (V201) reports the total number of children ever born to the respondent, regardless of survival status.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CHSURVPLUSPG" name="W_CHSURVPLUSPG" files="W" intrvl="discrete">
  <labl>Total number of living children including current pregnancy</labl>
  <imputation>Total number of living children including current pregnancy</imputation>
  <security>Total number of living children including current pregnancy</security>
  <embargo>Total number of living children including current pregnancy</embargo>
  <respUnit>Total number of living children including current pregnancy</respUnit>
  <qstn>
    <qstnLit>203) How many sons live with you?
And how many daughters?

IF NONE, ENTER '00'.

SONS AT HOME: ___

DAUGHTERS AT HOME: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <txt>CHSURVPLUSPG (V219) reports the woman's total number of living children, including her current pregnancy. 

CHSURVPLUSPG takes the value of CHEBALIVE (V218) and adds 1 if the respondent is pregnant.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CHEBALIVETRUNC" name="W_CHEBALIVETRUNC" files="W" intrvl="discrete">
  <labl>Total number of living children, truncated at 6+</labl>
  <imputation>Total number of living children, truncated at 6+</imputation>
  <security>Total number of living children, truncated at 6+</security>
  <embargo>Total number of living children, truncated at 6+</embargo>
  <respUnit>Total number of living children, truncated at 6+</respUnit>
  <qstn>
    <qstnLit>203) How many sons live with you?
And how many daughters?

IF NONE, ENTER '00'.

SONS AT HOME: ___

DAUGHTERS AT HOME: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6+</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>CHEBALIVETRUNC (V220) reports the woman's total number of living children (including current pregnancy), truncated at 6 or more children. This variable is a grouping of CHSURVPLUSPG (V219) truncated at 6+ children.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_LASTBIRTHTOINTMO" name="W_LASTBIRTHTOINTMO" files="W" intrvl="discrete">
  <labl>Interval between last birth and interview, in months</labl>
  <imputation>Interval between last birth and interview, in months</imputation>
  <security>Interval between last birth and interview, in months</security>
  <embargo>Interval between last birth and interview, in months</embargo>
  <respUnit>Interval between last birth and interview, in months</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have ever given birth, LASTBIRTHTOINTMO (V222) reports the number of months between their last birth and the date of interview.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CONCEPTDATEFLAG" name="W_CONCEPTDATEFLAG" files="W" intrvl="discrete">
  <labl>Completeness of information on date of conception, current pregnancy</labl>
  <imputation>Completeness of information on date of conception, current pregnancy</imputation>
  <security>Completeness of information on date of conception, current pregnancy</security>
  <embargo>Completeness of information on date of conception, current pregnancy</embargo>
  <respUnit>Completeness of information on date of conception, current pregnancy</respUnit>
  <qstn>
    <qstnLit>224) How many months pregnant are you?

MONTHS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Month- exact date</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Date missing, imputed</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For pregnant women, CONCEPTDATEFLAG (V223) indicates the completeness of information relating to the date of conception of their current pregnancy.  According to the DHS Recode Manuals, "This variable indicates whether the date of conception was exactly specified by the duration of the current pregnancy or the duration was imputed from other information." 

The related variable DURCURPREG reports the duration of the current pregnancy.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_MENSTIMFLAG" name="W_MENSTIMFLAG" files="W" intrvl="discrete">
  <labl>Flag for reported time since last menstrual period</labl>
  <imputation>Flag for reported time since last menstrual period</imputation>
  <security>Flag for reported time since last menstrual period</security>
  <embargo>Flag for reported time since last menstrual period</embargo>
  <respUnit>Flag for reported time since last menstrual period</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Number GT interval since birth</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Number plus amenorrhea GT interval</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Number reported, but period not returned</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Reported before last birth, but no birth</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Reported before last birth, but period since</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Reported never menstruated, but period returned</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported time during pregnancy</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported never menstruated but had kids</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported period before last birth</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>MENSTIMFLAG (V227) is a flag variable that indicates the type of problem, if any, found in editing responses on the time since the respondent's last menstrual period. Cases without a problem are coded 0.

For time since last menstrual period, see TIMEMENSTRUATE (V215).</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TIMEMENSCALC" name="W_TIMEMENSCALC" files="W" intrvl="discrete">
  <labl>Computed time since last menstrual period</labl>
  <imputation>Computed time since last menstrual period</imputation>
  <security>Computed time since last menstrual period</security>
  <embargo>Computed time since last menstrual period</embargo>
  <respUnit>Computed time since last menstrual period</respUnit>
  <qstn>
    <qstnLit>226) When did your last period start?

DAYS: ___ 1
WEEKS: ___ 2
MONTHS: ___ 3
YEARS: ___ 4
IN MENOPAUSE 994
BEFORE LAST BIRTH 995
NEVER MENSTRUATED 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
    <labl>No time difference</labl>
  </catgry>
  <catgry>
    <catValu>991</catValu>
    <labl>In menopause/had hysterectomy</labl>
  </catgry>
  <catgry>
    <catValu>992</catValu>
    <labl>Pregnant, not asked</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>In menopause</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>Before last birth</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Never menstruated</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TIMEMENSCALC (V226) reports the computed time since the respondent's last menstrual period. 

According to the DHS Recode Manuals, this variable

is computed from the response for V215, with durations exceeding the interval since the last birth (V227 = 7,9) recoded to the response "Before last birth" (code 995) and inconsistent responses flagged on variable 227 (codes 1-6) recoded to 997.


Restated in terms of IPUMS-DHS variables and variable labels, TIMEMENSCALC is computed from the response for TIMEMENSTRUATE (Time since woman's last menstrual period).  Cases with durations exceeding the interval since the last birth, when MENSTIMFLAG (Flag for reported time since last menstrual period) has values for "Reported time during pregnancy" or "Reported period before last birth," are recoded as "Before last birth" in TIMEMENSCALC.  Cases with inconsistent or implausible responses according to MENSTIMFLAG (for example, the woman reportedly never menstruated but she has given birth) are recoded to "Inconsistent" for TIMEMENSCALC.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGEAT1STBIRTH" name="W_AGEAT1STBIRTH" files="W" intrvl="discrete">
  <labl>Age of respondent at time of first birth</labl>
  <imputation>Age of respondent at time of first birth</imputation>
  <security>Age of respondent at time of first birth</security>
  <embargo>Age of respondent at time of first birth</embargo>
  <respUnit>Age of respondent at time of first birth</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <txt>AGEAT1STBIRTH (V212) reports the age of the woman at the time of her first birth. This variable is calculated by using the century month code (CMC) of the date of the woman's first birth (DOB1STKIDCMC) and the CMC of the woman's date of birth (DOBCMC).</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_HHMEMTOTAL" name="W_HHMEMTOTAL" files="W" intrvl="discrete">
  <labl>Total number of household members</labl>
  <imputation>Total number of household members</imputation>
  <security>Total number of household members</security>
  <embargo>Total number of household members</embargo>
  <respUnit>Total number of household members</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <txt>HHMEMTOTAL (V136) reports the total number of members of the woman's household.  

According to the DHS Recode Manuals, HHMEMTOTAL is calculated by summing "the number of usual residents and the number of visitors who slept in the house the previous night that were listed in the household schedule."  "Usual residents" of the household are identified by the RESIDENT variable.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_HHKIDLT5" name="W_HHKIDLT5" files="W" intrvl="discrete">
  <labl>Number of children under 5 in household</labl>
  <imputation>Number of children under 5 in household</imputation>
  <security>Number of children under 5 in household</security>
  <embargo>Number of children under 5 in household</embargo>
  <respUnit>Number of children under 5 in household</respUnit>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <txt>HHKIDLT5 (V137) reports the number of children age 5 and under who reside in the household. Visiting children are not included in the count.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_HHELIGWOMEN" name="W_HHELIGWOMEN" files="W" intrvl="discrete">
  <labl>Number of eligible women in household</labl>
  <imputation>Number of eligible women in household</imputation>
  <security>Number of eligible women in household</security>
  <embargo>Number of eligible women in household</embargo>
  <respUnit>Number of eligible women in household</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>No women age 15-49</labl>
  </catgry>
  <txt>HHELIGWOMEN (V138) reports the number of eligible women in the household, usually defined as women of childbearing age who slept in the household the previous night (regardless of whether they were usual residents or visitors).  The age and marital status guidelines for defining eligible women varies across samples. See Comparability.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_HHEADAGE" name="W_HHEADAGE" files="W" intrvl="discrete">
  <labl>Age of household head</labl>
  <imputation>Age of household head</imputation>
  <security>Age of household head</security>
  <embargo>Age of household head</embargo>
  <respUnit>Age of household head</respUnit>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>97+</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>96</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>95</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <txt>HHEADAGE (V152) reports the age of the head of the household.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_HHEADAGEHH" name="W_HHEADAGEHH" files="W" intrvl="discrete">
  <labl>Age of household head (from HH record)</labl>
  <imputation>Age of household head (from HH record)</imputation>
  <security>Age of household head (from HH record)</security>
  <embargo>Age of household head (from HH record)</embargo>
  <respUnit>Age of household head (from HH record)</respUnit>
  <qstn>
    <qstnLit>7) AGE:
How old is (NAME)?

NOTE '97' FOR 97 AND OLDER.

AGE: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>95+</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <txt>HHEADAGEHH (HV220) reports the age of the head of the household.

The information in HHEADAGEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_HHEADSEX" name="W_HHEADSEX" files="W" intrvl="discrete">
  <labl>Sex of household head</labl>
  <imputation>Sex of household head</imputation>
  <security>Sex of household head</security>
  <embargo>Sex of household head</embargo>
  <respUnit>Sex of household head</respUnit>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <txt>HHEADSEX (V151) reports the sex of the head of the household.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_HHEADSEXHH" name="W_HHEADSEXHH" files="W" intrvl="discrete">
  <labl>Sex of household head (from hh record)</labl>
  <imputation>Sex of household head (from hh record)</imputation>
  <security>Sex of household head (from hh record)</security>
  <embargo>Sex of household head (from hh record)</embargo>
  <respUnit>Sex of household head (from hh record)</respUnit>
  <qstn>
    <qstnLit>6) SEX:
Is (NAME) male or female?

MALE 1
FEMALE 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>HHEADSEXHH (HV219) reports the sex of the head of the household.

The information in HHEADSEXHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FAMSTRUCTR" name="W_FAMSTRUCTR" files="W" intrvl="discrete">
  <labl>Relationship structure in HH</labl>
  <imputation>Relationship structure in HH</imputation>
  <security>Relationship structure in HH</security>
  <embargo>Relationship structure in HH</embargo>
  <respUnit>Relationship structure in HH</respUnit>
  <qstn>
    <qstnLit>1) NUMBER</qstnLit>
  </qstn>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Unrelated adults</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Three plus related adults</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Two adults, same sex</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Two adults, opp sex</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>One adult</labl>
  </catgry>
  <catgry>
    <labl>No adults</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FAMSTRUCTR (HV217) indicates the relationship structure (no adults, one adult, two related adults of the opposite sex, two related adults of the same sex, three or more related adults, or unrelated adults) in the household. Only usual (de jure) household members aged 15 and over are considered in determining the household's relationship structure. FAMSTRUCTR is a constructed variable, based on information about each household member's age, sex, and relationship to the householder, which was collected when completing the listing of persons in the household at the time of the survey.

The information in FAMSTRUCTR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_SLEEPROOMS" name="W_SLEEPROOMS" files="W" intrvl="discrete">
  <labl>Number of rooms in HH used for sleeping</labl>
  <imputation>Number of rooms in HH used for sleeping</imputation>
  <security>Number of rooms in HH used for sleeping</security>
  <embargo>Number of rooms in HH used for sleeping</embargo>
  <respUnit>Number of rooms in HH used for sleeping</respUnit>
  <qstn>
    <qstnLit>24) In your household, how many rooms do you use for sleeping?

ROOMS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35+</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>SLEEPROOMS (HV216) reports the number of rooms in the household used for sleeping.</txt>
  <concept>
    <title>Housing Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FLOOR" name="W_FLOOR" files="W" intrvl="discrete">
  <labl>Main material of floor</labl>
  <imputation>Main material of floor</imputation>
  <security>Main material of floor</security>
  <embargo>Main material of floor</embargo>
  <respUnit>Main material of floor</respUnit>
  <qstn>
    <qstnLit>25) PRINCIPLE FLOORING MATERIAL.

RECORD OBSERVATION.

NATURAL FLOOR

EARTH/SAND 11

FINISHED FLOOR

PARQUET OR POLISHED WOOD 31
VINYL STRIPS 32
TILE 33
CEMENT 34
RUG 35

OTHER (SPECIFY): ___ 41</qstnLit>
  </qstn>
  <catgry>
    <catValu>116</catValu>
    <labl>Mud and hay</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>391</catValu>
    <labl>Plaster</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>NATURAL</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>Earth-based</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>Earth, sand</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>Earth, mud</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>Earth, mud, clay</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>Sand</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>Dirt/Earth</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Dung-based</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>Dung</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>Earth and dung</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>Mud, dung, sand</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>RUDIMENTARY</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Wood</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>Wood planks</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>Wood and tile</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>Wood/palm/bamboo</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>Palm/bamboo</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>Palm/bamboo/leaves</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>Other rudimentary</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>Broken bricks</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>Adobe</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>Unfinished stone</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>FINISHED</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>Parquet/polished wood</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>Polished wood/vinyl/tiles</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>Vinyl/asphalt strips/linoleum</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>Linoleum</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>Tiles/mosaic</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>Ceramic tiles</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>Cement tiles</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>Ceramic/terrazo tiles</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>Ceramic/marble tiles</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>Tiles/brick</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>Cement/concrete</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>Carpet</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>Terrazzo</labl>
  </catgry>
  <catgry>
    <catValu>370</catValu>
    <labl>Stone</labl>
  </catgry>
  <catgry>
    <catValu>380</catValu>
    <labl>Bricks</labl>
  </catgry>
  <catgry>
    <catValu>390</catValu>
    <labl>Other finished</labl>
  </catgry>
  <catgry>
    <catValu>400</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>Vinyl</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>Mat</labl>
  </catgry>
  <txt>FLOOR (HV213) reports the main material of the floor of the dwelling.  Response categories vary widely across surveys but fall into broad groups (i.e., natural materials, rudimentary processed materials, and finished materials).  See Comparability.</txt>
  <concept>
    <title>Housing Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ROOF" name="W_ROOF" files="W" intrvl="discrete">
  <labl>Main material of roof</labl>
  <imputation>Main material of roof</imputation>
  <security>Main material of roof</security>
  <embargo>Main material of roof</embargo>
  <respUnit>Main material of roof</respUnit>
  <qstn>
    <qstnLit>26) MAIN ROOF MATERIAL.

RECORD OBSERVATION.

CONCRETE 01
SHEET METAL 02
BANCO [TRANSLATOR NOTE: A TYPE OF MUDBRICK OR ADOBE SPECIFIC TO WEST AFRICA] 03
STRAW 04
CANVAS 05
OTHER (SPECIFY): ___ 06</qstnLit>
  </qstn>
  <catgry>
    <catValu>126</catValu>
    <labl>Mud and hay</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>Sticks/sticks with mud or dung</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>Reinforced brick cement</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>000</catValu>
    <labl>No roof</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>NATURAL</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>Thatch/palm leaf/grass/makuti</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>Thatch/palm leaf</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>Grass, thatch</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>Grass, thatch, makuti</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>Thatch</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>Thatch/mat/leaves</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>Leaves</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>Grass/leaves/mud</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Earth</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>Mud</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>Dung, mud</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>Earth, mud</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>Sod</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>Sod/mud and grass mixture</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>Straw</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>RUDIMENTARY</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Rustic mat</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>Rustic mat, plastic sheets</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>Plastic/polythene sheet</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>Palm/bamboo</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>Palm, bamboo, grass</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>Reed, bamboo</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>Wood planks</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>Wooden tiles, planks</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>Wood, mulch</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>Cardboard</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>Rudimentary - metal</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>Tin cans</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>Iron sheets</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>Other rudimentary</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>Mobile roofs of nomads</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>Skin</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>FINISHED</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>Metal</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>Metal, zinc</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>Corrugated metal sheet, asbestos</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>Corrugated iron</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>Tin</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>Asbetos</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>Wood</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>Cement/concrete</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>Cement</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>Concrete</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>Tiles</labl>
  </catgry>
  <catgry>
    <catValu>341</catValu>
    <labl>Ceramic tiles</labl>
  </catgry>
  <catgry>
    <catValu>342</catValu>
    <labl>Iron and tiles</labl>
  </catgry>
  <catgry>
    <catValu>343</catValu>
    <labl>Tiles/slate</labl>
  </catgry>
  <catgry>
    <catValu>344</catValu>
    <labl>Mud tiles</labl>
  </catgry>
  <catgry>
    <catValu>345</catValu>
    <labl>Ceramic tiles, harvey (steel) tiles</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>Cement fiber</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>Calamine/cement fiber</labl>
  </catgry>
  <catgry>
    <catValu>352</catValu>
    <labl>Asbestos, cement fiber</labl>
  </catgry>
  <catgry>
    <catValu>353</catValu>
    <labl>Zinc/cement fiber</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>Roofing shingles</labl>
  </catgry>
  <catgry>
    <catValu>370</catValu>
    <labl>Bricks</labl>
  </catgry>
  <catgry>
    <catValu>371</catValu>
    <labl>Unburnt bricks</labl>
  </catgry>
  <catgry>
    <catValu>372</catValu>
    <labl>Burnt brick</labl>
  </catgry>
  <catgry>
    <catValu>380</catValu>
    <labl>Stone</labl>
  </catgry>
  <catgry>
    <catValu>381</catValu>
    <labl>Loosely packed stone</labl>
  </catgry>
  <catgry>
    <catValu>382</catValu>
    <labl>Stone slabs</labl>
  </catgry>
  <catgry>
    <catValu>383</catValu>
    <labl>Slate</labl>
  </catgry>
  <catgry>
    <catValu>400</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>Waste materials</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ROOF (HV215) reports the main material of the roof of the dwelling.  Response categories vary widely across surveys but fall into broad groups (i.e., natural materials, rudimentary processed materials, and finished materials).  See Comparability.</txt>
  <concept>
    <title>Housing Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ELECTRC" name="W_ELECTRC" files="W" intrvl="discrete">
  <labl>Has electricity</labl>
  <imputation>Has electricity</imputation>
  <security>Has electricity</security>
  <embargo>Has electricity</embargo>
  <respUnit>Has electricity</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <txt>ELECTRC (V119) indicates whether the household has electricity. Samples vary in how that information was collected. See Comparability.</txt>
  <concept>
    <title>Housing Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ELECTRCHH" name="W_ELECTRCHH" files="W" intrvl="discrete">
  <labl>Dwelling has electricity (from hh record)</labl>
  <imputation>Dwelling has electricity (from hh record)</imputation>
  <security>Dwelling has electricity (from hh record)</security>
  <embargo>Dwelling has electricity (from hh record)</embargo>
  <respUnit>Dwelling has electricity (from hh record)</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ELECTRCHH (HV206) indicates whether the household has electricity. Samples vary in how that information was collected.

The information in ELECTRCHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Housing Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TOILETTYPE" name="W_TOILETTYPE" files="W" intrvl="discrete">
  <labl>Type of toilet facility</labl>
  <imputation>Type of toilet facility</imputation>
  <security>Type of toilet facility</security>
  <embargo>Type of toilet facility</embargo>
  <respUnit>Type of toilet facility</respUnit>
  <qstn>
    <qstnLit>22) What kind of toilet is there in your household?

FLUSH TOILET

OWN FLUSH TOILET 11
SHARED FLUSH TOILET 12
PUBLIC FLUSH TOILET 13

PIT TOILET OR LATRINE

TRADITIONAL PIT TOILET 21
VENTILATED IMPROVED PIT (VIP) OR LATRINES 22

NO FACILITY/BRUSH/FIELD 31
OTHER (SPECIFY): ___ 41</qstnLit>
  </qstn>
  <catgry>
    <catValu>3431</catValu>
    <labl>Pit latrine with ventilation pipe, no mesh</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>0000</catValu>
    <labl>NO FACILITY</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>FLUSH TOILET</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Unspecified type of flush toilet</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>Own flush toilet (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>Shared flush toilet (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Modern flush toilet</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Flush to piped sewer system</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>Traditional with tank flush</labl>
  </catgry>
  <catgry>
    <catValu>1400</catValu>
    <labl>Bucket flush toilet</labl>
  </catgry>
  <catgry>
    <catValu>1410</catValu>
    <labl>Flush to pit latrine</labl>
  </catgry>
  <catgry>
    <catValu>1420</catValu>
    <labl>Flush to somewhere else</labl>
  </catgry>
  <catgry>
    <catValu>1430</catValu>
    <labl>Flush, don't know where</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>NON-FLUSHING TOILET</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Composting toilet</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Dry toilet</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Ecosan toilet</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>PIT TOILET LATRINE</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Unspecified type of pit latrine</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Own pit toilet or latrine (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Shared pit toiletor latrine (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>3121</catValu>
    <labl>Public pit toilet or latrine (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>Traditional pit toilet or latrine</labl>
  </catgry>
  <catgry>
    <catValu>3210</catValu>
    <labl>Pit latrine without slab or open pit</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Pit latrine with slab</labl>
  </catgry>
  <catgry>
    <catValu>3400</catValu>
    <labl>Ventilated improved pit latrine</labl>
  </catgry>
  <catgry>
    <catValu>3410</catValu>
    <labl>Covered pit latrine, no slab</labl>
  </catgry>
  <catgry>
    <catValu>3420</catValu>
    <labl>Covered pit latrine with slab</labl>
  </catgry>
  <catgry>
    <catValu>3430</catValu>
    <labl>Covered latrine</labl>
  </catgry>
  <catgry>
    <catValu>3440</catValu>
    <labl>Septic pit</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>UNIMPROVED TOILET</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>Bucket toilet</labl>
  </catgry>
  <catgry>
    <catValu>4200</catValu>
    <labl>River</labl>
  </catgry>
  <catgry>
    <catValu>4300</catValu>
    <labl>Hanging latrine over water source</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1112</catValu>
    <labl>Private flush toilet, outside residence</labl>
  </catgry>
  <catgry>
    <catValu>1211</catValu>
    <labl>Flush to piped sewer system, indoors</labl>
  </catgry>
  <catgry>
    <catValu>1212</catValu>
    <labl>Flush to piped sewer system, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>1213</catValu>
    <labl>Flush to piped sewer system, out  of yard</labl>
  </catgry>
  <catgry>
    <catValu>3310</catValu>
    <labl>Pit latrine with washable slab</labl>
  </catgry>
  <catgry>
    <catValu>3320</catValu>
    <labl>Pit latrine with non-washable slab</labl>
  </catgry>
  <catgry>
    <catValu>3490</catValu>
    <labl>Other improved system</labl>
  </catgry>
  <catgry>
    <catValu>3463</catValu>
    <labl>Latrine to piped public system, out of yard</labl>
  </catgry>
  <catgry>
    <catValu>3462</catValu>
    <labl>Latrine to piped public system, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>3461</catValu>
    <labl>Latrine to piped public system, indoors</labl>
  </catgry>
  <catgry>
    <catValu>3443</catValu>
    <labl>Latrine to septic tank, out of yard</labl>
  </catgry>
  <catgry>
    <catValu>3442</catValu>
    <labl>Latrine to septic tank, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>3441</catValu>
    <labl>Latrine to septic tank, indoors</labl>
  </catgry>
  <catgry>
    <catValu>3212</catValu>
    <labl>Open pit latrine, out of yard</labl>
  </catgry>
  <catgry>
    <catValu>3211</catValu>
    <labl>Open pit latrine, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>1253</catValu>
    <labl>Flush to septic tank, out of yard</labl>
  </catgry>
  <catgry>
    <catValu>1252</catValu>
    <labl>Flush to septic tank, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>1251</catValu>
    <labl>Flush to septic tank, indoors</labl>
  </catgry>
  <catgry>
    <catValu>1250</catValu>
    <labl>Flush to septic tank</labl>
  </catgry>
  <catgry>
    <catValu>1240</catValu>
    <labl>Flush, not to sewer</labl>
  </catgry>
  <catgry>
    <catValu>1233</catValu>
    <labl>Flush to ground water, out of yard</labl>
  </catgry>
  <catgry>
    <catValu>1232</catValu>
    <labl>Flush to ground water, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>1231</catValu>
    <labl>Flush to ground water, indoors</labl>
  </catgry>
  <catgry>
    <catValu>3450</catValu>
    <labl>Latrine with manual flush</labl>
  </catgry>
  <catgry>
    <catValu>3460</catValu>
    <labl>Latrine to piped public system</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1230</catValu>
    <labl>Flush to pipe connected to ground water</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Flush to pipe connected to canal</labl>
  </catgry>
  <catgry>
    <catValu>1132</catValu>
    <labl>Public flush toilet, outside residence</labl>
  </catgry>
  <catgry>
    <catValu>1131</catValu>
    <labl>Public flush toilet, inside residence</labl>
  </catgry>
  <catgry>
    <catValu>1130</catValu>
    <labl>Public flush toilet (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>1111</catValu>
    <labl>Private flush toilet, inside residence</labl>
  </catgry>
  <txt>TOILETTYPE (HV205) reports the household's type of toilet facility, with no facility coded "0." Responses vary widely across surveys; see Comparability.

The information in TOILETTYPE is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_NDRINKWTR" name="W_NDRINKWTR" files="W" intrvl="discrete">
  <labl>Major source of non-drinking water</labl>
  <imputation>Major source of non-drinking water</imputation>
  <security>Major source of non-drinking water</security>
  <embargo>Major source of non-drinking water</embargo>
  <respUnit>Major source of non-drinking water</respUnit>
  <qstn>
    <qstnLit>18) Where does the water your household uses for hand and dishwashing come from?

PIPED WATER

PIPED INTO THE RESIDENCE/YARD/PLOT 11 (GO TO 20)
PUBLIC TAP 12

WELL WATER

WELL IN THE RESIDENCE/YARD/PLOT 21 (GO TO 20)
PUBLIC WELL OR BOREHOLE 22

SURFACE WATER

SPRING 31
RIVER OR STREAM 32
POND/LAKE 33
DAM 34

RAINWATER 41 (GO TO 20)
WATER VENDOR 51
BOTTLED WATER 61 (GO TO 20)
OTHER (SPECIFY): ___ 71</qstnLit>
  </qstn>
  <catgry>
    <catValu>9996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>PIPED WATER</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Piped into own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>Piped into own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>Piped into own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Piped outside own residence/plot</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Public tap/standpipe</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Piped into neighbor's dwelling/yard</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>WELL WATER</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Unprotected/open well</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Open well in own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2111</catValu>
    <labl>Open well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2112</catValu>
    <labl>Open well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>Open public well</labl>
  </catgry>
  <catgry>
    <catValu>2130</catValu>
    <labl>Open well in neighbor's residence</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Protected well</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Protected well in own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2211</catValu>
    <labl>Protected well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2212</catValu>
    <labl>Protected well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2220</catValu>
    <labl>Protected public well</labl>
  </catgry>
  <catgry>
    <catValu>2230</catValu>
    <labl>Tube well or borehole</labl>
  </catgry>
  <catgry>
    <catValu>2231</catValu>
    <labl>Borehole in yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2232</catValu>
    <labl>Public borehole</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Unspecified well</labl>
  </catgry>
  <catgry>
    <catValu>2310</catValu>
    <labl>Unspecified well in residence/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2311</catValu>
    <labl>Unspecified well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2312</catValu>
    <labl>Unspecified well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2313</catValu>
    <labl>Handpump in yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2320</catValu>
    <labl>Unspecified public well</labl>
  </catgry>
  <catgry>
    <catValu>2321</catValu>
    <labl>Public shallow well</labl>
  </catgry>
  <catgry>
    <catValu>2322</catValu>
    <labl>Public traditional well</labl>
  </catgry>
  <catgry>
    <catValu>2323</catValu>
    <labl>Public handpump</labl>
  </catgry>
  <catgry>
    <catValu>2330</catValu>
    <labl>Unspecified neighbor's well</labl>
  </catgry>
  <catgry>
    <catValu>2340</catValu>
    <labl>Unspecified well by type</labl>
  </catgry>
  <catgry>
    <catValu>2341</catValu>
    <labl>Well with pump</labl>
  </catgry>
  <catgry>
    <catValu>2342</catValu>
    <labl>Well without pump</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>SURFACE WATER</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Spring</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Protected spring</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Unprotected spring</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>River/dam/lake/ponds/streams/canal/irrigation channel</labl>
  </catgry>
  <catgry>
    <catValu>3210</catValu>
    <labl>River, stream</labl>
  </catgry>
  <catgry>
    <catValu>3220</catValu>
    <labl>Pond, lake</labl>
  </catgry>
  <catgry>
    <catValu>3230</catValu>
    <labl>Dam</labl>
  </catgry>
  <catgry>
    <catValu>3240</catValu>
    <labl>Canal or river/canal</labl>
  </catgry>
  <catgry>
    <catValu>3250</catValu>
    <labl>Irrigation ditch</labl>
  </catgry>
  <catgry>
    <catValu>3260</catValu>
    <labl>Dugout pond</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Channeled by gravity flow scheme</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>RAINWATER</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>Rainwater collected in tank</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>PURCHASED FROM SUPPLIER</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Tanker truck</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Cart with small tank</labl>
  </catgry>
  <catgry>
    <catValu>5300</catValu>
    <labl>Water vendor</labl>
  </catgry>
  <catgry>
    <catValu>5400</catValu>
    <labl>Bottled water</labl>
  </catgry>
  <catgry>
    <catValu>5410</catValu>
    <labl>Sachet water (in a bag)</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>OTHER SOURCE</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>5201</catValu>
    <labl>Motorcycle with 3 wheels</labl>
  </catgry>
  <txt>NDRINKWTR (HV202) reports the household's main source of water for uses other than drinking (for example, cooking and washing).  Responses vary widely across surveys; see Comparability.

The information in NDRINKWTR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DRINKWTR" name="W_DRINKWTR" files="W" intrvl="discrete">
  <labl>Major source of drinking water</labl>
  <imputation>Major source of drinking water</imputation>
  <security>Major source of drinking water</security>
  <embargo>Major source of drinking water</embargo>
  <respUnit>Major source of drinking water</respUnit>
  <qstn>
    <qstnLit>21) Where does the water your household uses for drinking come from?

PIPED WATER

PIPED INTO THE RESIDENCE/YARD/PLOT 11
PUBLIC TAP 12

WELL WATER

WELL IN THE RESIDENCE/YARD/PLOT 21
PUBLIC WELL OR BOREHOLE 22

SURFACE WATER

SPRING 31
RIVER OR STREAM 32
POND/LAKE 33
DAM 34

RAINWATER 41
WATER VENDOR 51
BOTTLED WATER 61
OTHER (SPECIFY): ___ 71</qstnLit>
  </qstn>
  <catgry>
    <catValu>2213</catValu>
    <labl>Protected well in neighbor's residence/plot</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>PIPED WATER</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Piped into own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>Piped into own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>Piped into own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Piped outside own residence/plot</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Public tap/standpipe</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Piped into neighbor's dwelling/yard</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>WELL WATER</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Unprotected/open well</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Open well in own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2111</catValu>
    <labl>Open well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2112</catValu>
    <labl>Open well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>Open public well</labl>
  </catgry>
  <catgry>
    <catValu>2130</catValu>
    <labl>Open well in neighbor's residence</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Protected well</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Protected well in own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2211</catValu>
    <labl>Protected well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2212</catValu>
    <labl>Protected well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2220</catValu>
    <labl>Protected public well</labl>
  </catgry>
  <catgry>
    <catValu>2230</catValu>
    <labl>Tube well or borehole</labl>
  </catgry>
  <catgry>
    <catValu>2231</catValu>
    <labl>Borehole in yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2232</catValu>
    <labl>Public borehole</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Unspecified well</labl>
  </catgry>
  <catgry>
    <catValu>2310</catValu>
    <labl>Unspecified well in residence/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2311</catValu>
    <labl>Unspecified well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2312</catValu>
    <labl>Unspecified well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2313</catValu>
    <labl>Handpump in yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2320</catValu>
    <labl>Unspecified public well</labl>
  </catgry>
  <catgry>
    <catValu>2321</catValu>
    <labl>Public shallow well</labl>
  </catgry>
  <catgry>
    <catValu>2322</catValu>
    <labl>Public traditional well</labl>
  </catgry>
  <catgry>
    <catValu>2323</catValu>
    <labl>Public handpump</labl>
  </catgry>
  <catgry>
    <catValu>2330</catValu>
    <labl>Unspecified neighbor's well</labl>
  </catgry>
  <catgry>
    <catValu>2340</catValu>
    <labl>Unspecified well by type</labl>
  </catgry>
  <catgry>
    <catValu>2341</catValu>
    <labl>Well with pump</labl>
  </catgry>
  <catgry>
    <catValu>2342</catValu>
    <labl>Well without pump</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>SURFACE WATER</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Spring</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Protected spring/surface water</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Unprotected spring/surface water</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>River/dam/lake/ponds/streams/canal/irrigation channel</labl>
  </catgry>
  <catgry>
    <catValu>3210</catValu>
    <labl>River, stream</labl>
  </catgry>
  <catgry>
    <catValu>3220</catValu>
    <labl>Pond, lake</labl>
  </catgry>
  <catgry>
    <catValu>3230</catValu>
    <labl>Dam</labl>
  </catgry>
  <catgry>
    <catValu>3240</catValu>
    <labl>Canal or river/canal</labl>
  </catgry>
  <catgry>
    <catValu>3250</catValu>
    <labl>Irrigation ditch</labl>
  </catgry>
  <catgry>
    <catValu>3260</catValu>
    <labl>Dugout pond</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Channeled by gravity flow scheme</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>RAINWATER</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>Rainwater collected in tank</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>PURCHASED FROM SUPPLIER</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Tanker truck</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Cart with small tank</labl>
  </catgry>
  <catgry>
    <catValu>5300</catValu>
    <labl>Water vendor</labl>
  </catgry>
  <catgry>
    <catValu>5400</catValu>
    <labl>Bottled water</labl>
  </catgry>
  <catgry>
    <catValu>5410</catValu>
    <labl>Sachet water (in a bag)</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>OTHER SOURCE</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1211</catValu>
    <labl>Public tap from filtration plant</labl>
  </catgry>
  <catgry>
    <catValu>1212</catValu>
    <labl>Public tap from stone pipes</labl>
  </catgry>
  <catgry>
    <catValu>5310</catValu>
    <labl>Water vendor from unknown source</labl>
  </catgry>
  <catgry>
    <catValu>5320</catValu>
    <labl>Water vendor from protected well</labl>
  </catgry>
  <catgry>
    <catValu>5330</catValu>
    <labl>Water vendor from unprotected well</labl>
  </catgry>
  <catgry>
    <catValu>5340</catValu>
    <labl>Water vendor from pond/lake</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>5500</catValu>
    <labl>Community reverse osmosis plant</labl>
  </catgry>
  <catgry>
    <catValu>5201</catValu>
    <labl>Motorcycle with 3 wheels</labl>
  </catgry>
  <txt>DRINKWTR (HV201) reports the household's main source of drinking water.  Responses vary widely across surveys; see Comparability.

The information in DRINKWTR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_SAMEH2OSRC" name="W_SAMEH2OSRC" files="W" intrvl="discrete">
  <labl>Same water source used for drinking and other water</labl>
  <imputation>Same water source used for drinking and other water</imputation>
  <security>Same water source used for drinking and other water</security>
  <embargo>Same water source used for drinking and other water</embargo>
  <respUnit>Same water source used for drinking and other water</respUnit>
  <qstn>
    <qstnLit>20) Does your household use water from the same source for drinking?

YES 1 (GO TO 22)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <txt>SAMEH2OSRC (V142) indicates whether the household used the same source of water for drinking and for other uses (such as laundry and dishwashing).  For samples without this variable, the information could be calculated by comparing the household's reported sources of drinking water and water for other uses.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_SAMEH2OSRCHH" name="W_SAMEH2OSRCHH" files="W" intrvl="discrete">
  <labl>Same water source used for drinking and other water (HH record)</labl>
  <imputation>Same water source used for drinking and other water (HH record)</imputation>
  <security>Same water source used for drinking and other water (HH record)</security>
  <embargo>Same water source used for drinking and other water (HH record)</embargo>
  <respUnit>Same water source used for drinking and other water (HH record)</respUnit>
  <qstn>
    <qstnLit>20) Does your household use water from the same source for drinking?

YES 1 (GO TO 22)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>With information taken from the household record, SAMEH2OSRCHH (HV203) indicates whether the household used the same source of water for drinking and for other uses (such as laundry and dishwashing).  For samples without this variable, the information could be calculated by comparing the household's reported sources of drinking water and water for other uses.

The information in SAMEH2OSRCHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TIMETOWTRIND" name="W_TIMETOWTRIND" files="W" intrvl="discrete">
  <labl>Time to water source (from individual respondent record)</labl>
  <imputation>Time to water source (from individual respondent record)</imputation>
  <security>Time to water source (from individual respondent record)</security>
  <embargo>Time to water source (from individual respondent record)</embargo>
  <respUnit>Time to water source (from individual respondent record)</respUnit>
  <qstn>
    <qstnLit>19) How much time does it take to go there, get water, and come back?

MINUTES: ___
ON LOCATION 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
    <labl>0 (on premises)</labl>
  </catgry>
  <catgry>
    <catValu>001</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>002</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>003</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>004</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>005</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>006</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>007</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>008</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>009</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>010</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>011</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>012</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>013</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>014</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>015</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>016</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>017</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>018</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>019</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>020</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>021</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>022</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>023</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>024</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>025</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>026</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>027</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>028</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>029</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>030</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>031</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>032</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>033</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>034</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>035</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>036</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>037</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>038</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>039</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>040</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>041</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>042</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>043</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>044</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>045</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>046</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>047</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>048</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>049</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>050</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>051</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>052</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>053</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>054</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>055</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>056</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>057</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>058</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>059</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>060</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>061</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>062</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>063</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>064</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>065</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>066</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>067</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>068</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>069</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>070</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>071</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>072</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>073</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>074</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>075</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>076</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>077</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>078</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>079</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>080</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>081</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>082</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>083</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>084</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>085</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>086</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>087</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>088</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>089</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>090</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>091</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>092</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>093</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>094</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>095</catValu>
    <labl>95</labl>
  </catgry>
  <catgry>
    <catValu>096</catValu>
    <labl>96</labl>
  </catgry>
  <catgry>
    <catValu>097</catValu>
    <labl>97</labl>
  </catgry>
  <catgry>
    <catValu>098</catValu>
    <labl>98</labl>
  </catgry>
  <catgry>
    <catValu>099</catValu>
    <labl>99</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>100</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>101</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>102</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>103</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>104</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>105</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>106</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>107</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>108</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>109</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>110</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>111</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>112</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>113</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>114</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>115</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>116</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>117</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>118</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>119</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>120</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>121</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>122</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>123</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>124</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>125</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>126</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>127</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>128</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>129</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>130</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>131</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>132</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>133</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>134</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>135</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>136</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>137</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>138</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>139</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>140</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>141</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>142</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>143</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>144</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>145</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>146</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>147</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>148</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>149</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>150</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>151</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>152</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>153</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>154</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>155</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>156</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>157</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>158</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>159</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>160</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>161</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>162</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>163</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>164</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>165</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>166</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>167</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>168</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>169</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>170</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>171</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>172</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>173</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>174</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>175</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>176</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>177</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>178</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>179</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>180</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>181</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>182</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>183</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>184</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>185</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>186</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>187</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>188</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>189</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>190</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>191</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>192</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>193</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>194</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>195</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>196</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>197</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>198</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>199</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>200</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>201</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>202</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>203</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>204</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>205</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>206</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>207</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>208</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>209</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>210</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>211</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>212</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>213</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>214</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>215</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>216</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>217</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>218</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>219</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>220</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>221</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>222</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>223</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>224</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>225</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>226</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>227</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>228</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>229</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>230</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>231</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>232</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>233</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>234</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>235</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>236</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>237</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>238</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>239</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>240</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>241</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>242</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>243</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>244</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>245</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>246</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>247</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>248</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>249</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>250</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>251</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>252</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>253</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>254</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>255</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>256</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>257</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>258</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>259</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>260</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>261</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>262</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>263</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>264</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>265</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>266</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>267</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>268</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>269</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>270</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>271</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>272</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>273</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>274</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>275</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>276</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>277</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>278</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>279</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>280</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>281</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>282</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>283</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>284</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>285</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>286</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>287</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>288</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>289</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>290</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>291</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>292</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>293</labl>
  </catgry>
  <catgry>
    <catValu>294</catValu>
    <labl>294</labl>
  </catgry>
  <catgry>
    <catValu>295</catValu>
    <labl>295</labl>
  </catgry>
  <catgry>
    <catValu>296</catValu>
    <labl>296</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>297</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>298</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>299</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>300</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>301</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>302</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>303</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>304</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>305</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>306</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>307</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>308</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>309</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>310</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>311</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>312</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>313</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>314</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>315</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>316</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>317</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>318</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>319</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>320</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>321</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>322</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>323</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>324</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>325</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>326</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>327</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>328</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>329</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>330</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>331</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>332</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>333</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>334</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>335</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>336</labl>
  </catgry>
  <catgry>
    <catValu>337</catValu>
    <labl>337</labl>
  </catgry>
  <catgry>
    <catValu>338</catValu>
    <labl>338</labl>
  </catgry>
  <catgry>
    <catValu>339</catValu>
    <labl>339</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>340</labl>
  </catgry>
  <catgry>
    <catValu>341</catValu>
    <labl>341</labl>
  </catgry>
  <catgry>
    <catValu>342</catValu>
    <labl>342</labl>
  </catgry>
  <catgry>
    <catValu>343</catValu>
    <labl>343</labl>
  </catgry>
  <catgry>
    <catValu>344</catValu>
    <labl>344</labl>
  </catgry>
  <catgry>
    <catValu>345</catValu>
    <labl>345</labl>
  </catgry>
  <catgry>
    <catValu>346</catValu>
    <labl>346</labl>
  </catgry>
  <catgry>
    <catValu>347</catValu>
    <labl>347</labl>
  </catgry>
  <catgry>
    <catValu>348</catValu>
    <labl>348</labl>
  </catgry>
  <catgry>
    <catValu>349</catValu>
    <labl>349</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>350</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>351</labl>
  </catgry>
  <catgry>
    <catValu>352</catValu>
    <labl>352</labl>
  </catgry>
  <catgry>
    <catValu>353</catValu>
    <labl>353</labl>
  </catgry>
  <catgry>
    <catValu>354</catValu>
    <labl>354</labl>
  </catgry>
  <catgry>
    <catValu>355</catValu>
    <labl>355</labl>
  </catgry>
  <catgry>
    <catValu>356</catValu>
    <labl>356</labl>
  </catgry>
  <catgry>
    <catValu>357</catValu>
    <labl>357</labl>
  </catgry>
  <catgry>
    <catValu>358</catValu>
    <labl>358</labl>
  </catgry>
  <catgry>
    <catValu>359</catValu>
    <labl>359</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>360+</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>One day or longer</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>On premises</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TIMETOWTRIND (V115) reports the amount of time, in minutes, to get to the household's major source of water, top-coded at 360+ minutes. This information is taken from the individual woman's record.

The complementary variable TIMETOWTRHH (HV204) reports the same information, taken from the household record.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TIMETOWTRHH" name="W_TIMETOWTRHH" files="W" intrvl="discrete">
  <labl>Time to reach water source and return, in minutes (from HH record)</labl>
  <imputation>Time to reach water source and return, in minutes (from HH record)</imputation>
  <security>Time to reach water source and return, in minutes (from HH record)</security>
  <embargo>Time to reach water source and return, in minutes (from HH record)</embargo>
  <respUnit>Time to reach water source and return, in minutes (from HH record)</respUnit>
  <qstn>
    <qstnLit>19) How much time does it take to go there, get water, and come back?

MINUTES: ___
ON LOCATION 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
  </catgry>
  <catgry>
    <catValu>001</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>002</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>003</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>004</catValu>
    <labl>4</labl>
  </catgry>
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    <catValu>005</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>006</catValu>
    <labl>6</labl>
  </catgry>
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    <catValu>007</catValu>
    <labl>7</labl>
  </catgry>
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    <catValu>008</catValu>
    <labl>8</labl>
  </catgry>
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    <catValu>009</catValu>
    <labl>9</labl>
  </catgry>
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    <catValu>010</catValu>
    <labl>10</labl>
  </catgry>
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    <catValu>011</catValu>
    <labl>11</labl>
  </catgry>
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    <catValu>012</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>013</catValu>
    <labl>13</labl>
  </catgry>
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    <catValu>014</catValu>
    <labl>14</labl>
  </catgry>
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    <catValu>015</catValu>
    <labl>15</labl>
  </catgry>
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    <catValu>016</catValu>
    <labl>16</labl>
  </catgry>
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    <catValu>017</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>018</catValu>
    <labl>18</labl>
  </catgry>
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    <catValu>019</catValu>
    <labl>19</labl>
  </catgry>
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    <catValu>020</catValu>
    <labl>20</labl>
  </catgry>
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    <catValu>021</catValu>
    <labl>21</labl>
  </catgry>
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    <catValu>022</catValu>
    <labl>22</labl>
  </catgry>
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    <catValu>023</catValu>
    <labl>23</labl>
  </catgry>
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    <catValu>024</catValu>
    <labl>24</labl>
  </catgry>
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    <catValu>025</catValu>
    <labl>25</labl>
  </catgry>
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    <catValu>026</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>027</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>028</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>029</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>030</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>031</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>032</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>033</catValu>
    <labl>33</labl>
  </catgry>
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    <catValu>034</catValu>
    <labl>34</labl>
  </catgry>
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    <labl>35</labl>
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    <labl>36</labl>
  </catgry>
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    <labl>37</labl>
  </catgry>
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    <catValu>038</catValu>
    <labl>38</labl>
  </catgry>
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    <catValu>039</catValu>
    <labl>39</labl>
  </catgry>
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    <labl>40</labl>
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    <labl>41</labl>
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    <catValu>042</catValu>
    <labl>42</labl>
  </catgry>
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    <labl>43</labl>
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    <catValu>187</catValu>
    <labl>187</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>188</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>189</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>190</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>191</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>192</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>193</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>194</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>195</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>196</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>197</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>198</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>199</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>200</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>201</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>202</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>203</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>204</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>205</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>206</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>207</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>208</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>209</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>210</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>211</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>212</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>213</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>214</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>215</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>216</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>217</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>218</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>219</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>220</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>221</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>222</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>223</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>224</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>225</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>226</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>227</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>228</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>229</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>230</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>231</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>232</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>233</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>234</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>235</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>236</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>237</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>238</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>239</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>240</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>241</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>242</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>243</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>244</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>245</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>246</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>247</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>248</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>249</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>250</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>251</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>252</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>253</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>254</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>255</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>256</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>257</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>258</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>259</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>260</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>261</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>262</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>263</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>264</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>265</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>266</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>267</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>268</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>269</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>270</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>271</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>272</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>273</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>274</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>275</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>276</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>277</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>278</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>279</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>280</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>281</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>282</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>283</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>284</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>285</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>286</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>287</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>288</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>289</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>290</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>291</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>292</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>293</labl>
  </catgry>
  <catgry>
    <catValu>294</catValu>
    <labl>294</labl>
  </catgry>
  <catgry>
    <catValu>295</catValu>
    <labl>295</labl>
  </catgry>
  <catgry>
    <catValu>296</catValu>
    <labl>296</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>297</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>298</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>299</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>300</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>301</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>302</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>303</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>304</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>305</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>306</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>307</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>308</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>309</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>310</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>311</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>312</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>313</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>314</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>315</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>316</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>317</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>318</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>319</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>320</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>321</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>322</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>323</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>324</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>325</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>326</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>327</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>328</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>329</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>330</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>331</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>332</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>333</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>334</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>335</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>336</labl>
  </catgry>
  <catgry>
    <catValu>337</catValu>
    <labl>337</labl>
  </catgry>
  <catgry>
    <catValu>338</catValu>
    <labl>338</labl>
  </catgry>
  <catgry>
    <catValu>339</catValu>
    <labl>339</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>340</labl>
  </catgry>
  <catgry>
    <catValu>341</catValu>
    <labl>341</labl>
  </catgry>
  <catgry>
    <catValu>342</catValu>
    <labl>342</labl>
  </catgry>
  <catgry>
    <catValu>343</catValu>
    <labl>343</labl>
  </catgry>
  <catgry>
    <catValu>344</catValu>
    <labl>344</labl>
  </catgry>
  <catgry>
    <catValu>345</catValu>
    <labl>345</labl>
  </catgry>
  <catgry>
    <catValu>346</catValu>
    <labl>346</labl>
  </catgry>
  <catgry>
    <catValu>347</catValu>
    <labl>347</labl>
  </catgry>
  <catgry>
    <catValu>348</catValu>
    <labl>348</labl>
  </catgry>
  <catgry>
    <catValu>349</catValu>
    <labl>349</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>350</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>351</labl>
  </catgry>
  <catgry>
    <catValu>352</catValu>
    <labl>352</labl>
  </catgry>
  <catgry>
    <catValu>353</catValu>
    <labl>353</labl>
  </catgry>
  <catgry>
    <catValu>354</catValu>
    <labl>354</labl>
  </catgry>
  <catgry>
    <catValu>355</catValu>
    <labl>355</labl>
  </catgry>
  <catgry>
    <catValu>356</catValu>
    <labl>356</labl>
  </catgry>
  <catgry>
    <catValu>357</catValu>
    <labl>357</labl>
  </catgry>
  <catgry>
    <catValu>358</catValu>
    <labl>358</labl>
  </catgry>
  <catgry>
    <catValu>359</catValu>
    <labl>359</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>360+</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>On premises</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TIMETOWTRHH (HV204) reports the time in minutes it takes members of the household to get to their main source of water and return to their dwelling.  In IPUMS-DHS, this variable is top-coded at 360 minutes or more (6 hours or longer).

The information in TIMETOWTRHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIKE" name="W_BIKE" files="W" intrvl="discrete">
  <labl>HH has bicycle</labl>
  <imputation>HH has bicycle</imputation>
  <security>HH has bicycle</security>
  <embargo>HH has bicycle</embargo>
  <respUnit>HH has bicycle</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>BIKE (V123) indicates whether any member of the household has a bicycle.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIKEHH" name="W_BIKEHH" files="W" intrvl="discrete">
  <labl>HH has bicycle (from HH record)</labl>
  <imputation>HH has bicycle (from HH record)</imputation>
  <security>HH has bicycle (from HH record)</security>
  <embargo>HH has bicycle (from HH record)</embargo>
  <respUnit>HH has bicycle (from HH record)</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIKEHH (HV210) indicates whether any member of the household has a bicycle. 

The information in BIKEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CAR" name="W_CAR" files="W" intrvl="discrete">
  <labl>HH has car/truck</labl>
  <imputation>HH has car/truck</imputation>
  <security>HH has car/truck</security>
  <embargo>HH has car/truck</embargo>
  <respUnit>HH has car/truck</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <txt>CAR (V125) indicates whether any member of the household owns a car or truck (or other motor vehicle). The specific type of motor vehicle mentioned varies across samples. See Comparability.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CARHH" name="W_CARHH" files="W" intrvl="discrete">
  <labl>HH has car/truck (from HH record)</labl>
  <imputation>HH has car/truck (from HH record)</imputation>
  <security>HH has car/truck (from HH record)</security>
  <embargo>HH has car/truck (from HH record)</embargo>
  <respUnit>HH has car/truck (from HH record)</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>CARHH (HV212) indicates whether any member of the household owns a car or truck (or other motor vehicle). The specific type of motor vehicle mentioned varies across samples. See Comparability. 

The information in CARHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_MOTORCYCL" name="W_MOTORCYCL" files="W" intrvl="discrete">
  <labl>HH has motorcycle/scooter</labl>
  <imputation>HH has motorcycle/scooter</imputation>
  <security>HH has motorcycle/scooter</security>
  <embargo>HH has motorcycle/scooter</embargo>
  <respUnit>HH has motorcycle/scooter</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <txt>MOTORCYCL (V124) indicates whether any member of the household owns a motorcycle or scooter.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_MOTORCYCLHH" name="W_MOTORCYCLHH" files="W" intrvl="discrete">
  <labl>HH has motorcycle/scooter (from HH record)</labl>
  <imputation>HH has motorcycle/scooter (from HH record)</imputation>
  <security>HH has motorcycle/scooter (from HH record)</security>
  <embargo>HH has motorcycle/scooter (from HH record)</embargo>
  <respUnit>HH has motorcycle/scooter (from HH record)</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>MOTORCYCLHH (HV211) indicates whether any member of the household owns a motorcycle or scooter.

The information in MOTORCYCLHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FRIDGE" name="W_FRIDGE" files="W" intrvl="discrete">
  <labl>HH has refrigerator</labl>
  <imputation>HH has refrigerator</imputation>
  <security>HH has refrigerator</security>
  <embargo>HH has refrigerator</embargo>
  <respUnit>HH has refrigerator</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <txt>FRIDGE (V122) indicates whether the household has a refrigerator. Some samples specified that the refrigerator must be working or must be owned by the household. See comparability.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FRIDGEHH" name="W_FRIDGEHH" files="W" intrvl="discrete">
  <labl>HH has refrigerator (from HH record)</labl>
  <imputation>HH has refrigerator (from HH record)</imputation>
  <security>HH has refrigerator (from HH record)</security>
  <embargo>HH has refrigerator (from HH record)</embargo>
  <respUnit>HH has refrigerator (from HH record)</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FRIDGEHH (HV209) indicates whether the household has a refrigerator. Some samples specified that the refrigerator must be working or owned by the household. See Comparability.

The information in FRIDGEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_RADIO" name="W_RADIO" files="W" intrvl="discrete">
  <labl>HH has radio</labl>
  <imputation>HH has radio</imputation>
  <security>HH has radio</security>
  <embargo>HH has radio</embargo>
  <respUnit>HH has radio</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <txt>RADIO (V120) indicates whether the household has a radio. Some samples specified that the radio must be working or fit other specifications. See Comparability.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_RADIOHH" name="W_RADIOHH" files="W" intrvl="discrete">
  <labl>HH has radio (from HH record)</labl>
  <imputation>HH has radio (from HH record)</imputation>
  <security>HH has radio (from HH record)</security>
  <embargo>HH has radio (from HH record)</embargo>
  <respUnit>HH has radio (from HH record)</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>RADIOHH (HV207) indicates whether any member of the household owns a radio. Some samples specified that the radio must be working or fit other specifications. See Comparability.

The information in RADIOHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TELEVISION" name="W_TELEVISION" files="W" intrvl="discrete">
  <labl>HH has television</labl>
  <imputation>HH has television</imputation>
  <security>HH has television</security>
  <embargo>HH has television</embargo>
  <respUnit>HH has television</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <txt>TELEVISION (V121) indicates whether the household has a television. Some samples specified that the TV must be in working order. See Comparability.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TVHH" name="W_TVHH" files="W" intrvl="discrete">
  <labl>HH has television (from HH record)</labl>
  <imputation>HH has television (from HH record)</imputation>
  <security>HH has television (from HH record)</security>
  <embargo>HH has television (from HH record)</embargo>
  <respUnit>HH has television (from HH record)</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TVHH (HV208) indicates whether any member of the household has a television. Some samples specified that the TV must be in working order. See Comparability.

The information in TVHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DRAWNCART" name="W_DRAWNCART" files="W" intrvl="discrete">
  <labl>HH has animal-drawn cart</labl>
  <imputation>HH has animal-drawn cart</imputation>
  <security>HH has animal-drawn cart</security>
  <embargo>HH has animal-drawn cart</embargo>
  <respUnit>HH has animal-drawn cart</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>DRAWNCART indicates whether a household member owned an animal-drawn cart. Question wording varied across samples; see Comparability.

The information in DRAWNCART is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Agricultural possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CURRWORK" name="W_CURRWORK" files="W" intrvl="discrete">
  <labl>Currently working</labl>
  <imputation>Currently working</imputation>
  <security>Currently working</security>
  <embargo>Currently working</embargo>
  <respUnit>Currently working</respUnit>
  <qstn>
    <qstnLit>708) Aside from your own housework, are you currently working?

YES 1 (GO TO 710)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneous</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, prompted</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>CURRWORK (V714) indicates whether the woman is currently working at a job or business.  To distinguish employment from household labor, many surveys included a preface such as the following: "As you know, some women take up jobs for which they are paid in cash or in kind.  Others sell things, have a small business or work on the family farm or in the family business." Women who have worked outside of their own housework in the last 12 months and been paid in cash, cash and in-kind, or only in-kind payments are included as working, although the survey questions vary in who receives an affirmative response. See Comparability.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WKCURRJOB" name="W_WKCURRJOB" files="W" intrvl="discrete">
  <labl>Woman's occupation</labl>
  <imputation>Woman's occupation</imputation>
  <security>Woman's occupation</security>
  <embargo>Woman's occupation</embargo>
  <respUnit>Woman's occupation</respUnit>
  <qstn>
    <qstnLit>710) What is your main occupation, that is, what kind of work do you do?

____</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Not currently working</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Professional, technical, or managerial worker</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Clerical or Sales</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Clerical worker</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Sales worker</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Agricultural</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Self-employed agricultural worker</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Agricultural employee</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Household, domestic, and services</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Household and domestic worker</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Services worker</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Skilled and unskilled manual</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Skilled manual worker</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Unskilled manual worker</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Armed forces</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>WKCURRJOB (V717) reports the occupation of the respondent in somewhat standardized categories. The categories included, and the degree of detail within broad categories (e.g., self-employed versus employee in agriculture, or simply agriculture), vary across samples. IPUMS-DHS employs composite coding to maximize comparability across samples (using the first digit of the codes to indicate broad job categories) without loss of detailed information (preserved in the second digit).

The category "agriculture" includes fishermen, foresters, breeders, and hunters as well as farmers.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WKCURRTYPE" name="W_WKCURRTYPE" files="W" intrvl="discrete">
  <labl>Respondent's current type of employment.</labl>
  <imputation>Respondent's current type of employment.</imputation>
  <security>Respondent's current type of employment.</security>
  <embargo>Respondent's current type of employment.</embargo>
  <respUnit>Respondent's current type of employment.</respUnit>
  <qstn>
    <qstnLit>711) In your work, do you work for a family member, for someone else, or are you self-employed?

FOR FAMILY MEMBER 1
FOR SOMEONE ELSE 2
SELF-EMPLOYED 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <labl>Did not work</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Paid employee, away</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Paid employee, home</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Self-employed, away</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Self-employed, home</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Unpaid worker, away</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Unpaid worker, home</labl>
  </catgry>
  <txt>WKCURRTYPE (V718) indicates the woman's current type of employment, along the two dimensions of class of worker (paid, self-employed, unpaid) and location (at home or away).</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WHOWORKFOR" name="W_WHOWORKFOR" files="W" intrvl="discrete">
  <labl>Whom the respondent works for</labl>
  <imputation>Whom the respondent works for</imputation>
  <security>Whom the respondent works for</security>
  <embargo>Whom the respondent works for</embargo>
  <respUnit>Whom the respondent works for</respUnit>
  <qstn>
    <qstnLit>711) In your work, do you work for a family member, for someone else, or are you self-employed?

FOR FAMILY MEMBER 1
FOR SOMEONE ELSE 2
SELF-EMPLOYED 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>24</catValu>
    <labl>For someone else</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>For someone else (unpaid)</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Works for self</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Self-employed</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Employer</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Works for someone else</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>For family member (unpaid)</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>For family member</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Works for self and someone else</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Other</labl>
  </catgry>
  <txt>WHOWORKFOR (V719) indicates whether the respondent works for a family member, for someone else, or is self-employed.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WKEARNCASH" name="W_WKEARNCASH" files="W" intrvl="discrete">
  <labl>Woman earns cash for work</labl>
  <imputation>Woman earns cash for work</imputation>
  <security>Woman earns cash for work</security>
  <embargo>Woman earns cash for work</embargo>
  <respUnit>Woman earns cash for work</respUnit>
  <qstn>
    <qstnLit>712) Do you earn money for this work?
PROBE: Do you make money for working?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>WKEARNCASH (V720) indicates whether the woman earns cash for her work.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WKHOMEAWAY" name="W_WKHOMEAWAY" files="W" intrvl="discrete">
  <labl>Woman works at home or away from home</labl>
  <imputation>Woman works at home or away from home</imputation>
  <security>Woman works at home or away from home</security>
  <embargo>Woman works at home or away from home</embargo>
  <respUnit>Woman works at home or away from home</respUnit>
  <qstn>
    <qstnLit>713) Do you do this work at home or away from home?

HOME 1
AWAY 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>At home</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Away</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>WKHOMEAWAY (V721) indicates whether the respondent currently works at home or away from home.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WKKIDWITH" name="W_WKKIDWITH" files="W" intrvl="discrete">
  <labl>Child with woman while working</labl>
  <imputation>Child with woman while working</imputation>
  <security>Child with woman while working</security>
  <embargo>Child with woman while working</embargo>
  <respUnit>Child with woman while working</respUnit>
  <qstn>
    <qstnLit>715) While you are working, do you usually have (NAME OF YOUNGEST CHILD AT HOME) with you, sometimes with you, or never with you?

USUALLY 1 (GO TO 801)
SOMETIMES 2
NEVER 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Child usually with respondent</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Child sometimes with respondent</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Child rarely with respondent</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Child never with respondent</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are currently working and who have a young child living at home, WKKIDWITH (V722) reports how often the woman has her child with her while she is working.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WKKIDCARE" name="W_WKKIDCARE" files="W" intrvl="discrete">
  <labl>Who cares for youngest child while woman works</labl>
  <imputation>Who cares for youngest child while woman works</imputation>
  <security>Who cares for youngest child while woman works</security>
  <embargo>Who cares for youngest child while woman works</embargo>
  <respUnit>Who cares for youngest child while woman works</respUnit>
  <qstn>
    <qstnLit>716) Who usually takes care of (NAME OF YOUNGEST CHILD AT HOME) while you are working?

HUSBAND/PARTNER 01
OLDER CHILD(REN) 02
OTHER RELATIVES 03
NEIGHBORS 04
FRIENDS 05
SERVANT/HIRED HELP 06
CHILD IS IN SCHOOL 07
INSTITUTIONAL CHILDCARE 08
OTHER (SPECIFY): ___ 09</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Respondent</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Husband /partner</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Other child</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Other relatives</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Neighbors</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Friends</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Servants /hired help</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Child is in school</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Institutional care</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Child's grandparents</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Other female child</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Other male child</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not worked since birth</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>For women who are currently working and who have a young child living at home, WKKIDCARE (V723) reports who usually cares for the youngest child while the woman is working.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_HUSJOB" name="W_HUSJOB" files="W" intrvl="discrete">
  <labl>Partner's occupation</labl>
  <imputation>Partner's occupation</imputation>
  <security>Partner's occupation</security>
  <embargo>Partner's occupation</embargo>
  <respUnit>Partner's occupation</respUnit>
  <qstn>
    <qstnLit>705) What kind of work does (did) your (last) husband mainly do?

____</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Did not work</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Not working, student or applicant</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Unemployed</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Student</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Prof., Tech., Manag.</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Clerical or Sales</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Clerical</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Sales</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Agricultural, breeding, fishing, forest</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Agriculture, self-employed</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Agriculture, employee</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Household, domestic, and services</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Household and domestic</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Services</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Skilled and unskilled manual</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Skilled manual</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>Unskilled manual</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>Army</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>HUSJOB (V705) reports the occupation of the woman's husband/partner in somewhat standardized categories.  The categories included, and the degree of detail within broad categories (e.g., self-employed versus employee in agriculture, or simply agriculture), vary across samples.  IPUMS-DHS employs composite coding to maximize comparability across samples (using the first digit of the codes to indicate broader job categories) without loss of detailed information (preserved in the second digit).  

The category "agriculture" includes fishermen, foresters, breeders, and hunters as well as farmers.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WKHUSLAND" name="W_WKHUSLAND" files="W" intrvl="discrete">
  <labl>Type of land where partner works</labl>
  <imputation>Type of land where partner works</imputation>
  <security>Type of land where partner works</security>
  <embargo>Type of land where partner works</embargo>
  <respUnit>Type of land where partner works</respUnit>
  <qstn>
    <qstnLit>707) (Does/did) your husband/partner work mainly on his own land or family land or someone else's land?

HIS/FAMILY LAND 1
RENTED LAND 2
SOMEONE ELSE'S LAND 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Own/family land</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Own land</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Family land</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Someone else's land</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Rented land</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Other responses</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Public land/govt allocation</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Communal land/shifting cultivation</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Sharecropper</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>Other, unspecified</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are currently married and whose husband or partner works in agriculture, WKHUSLAND (V707) reports the type of land where he works.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_LIT1" name="W_LIT1" files="W" intrvl="discrete">
  <labl>Reported literacy</labl>
  <imputation>Reported literacy</imputation>
  <security>Reported literacy</security>
  <embargo>Reported literacy</embargo>
  <respUnit>Reported literacy</respUnit>
  <qstn>
    <qstnLit>111) Do you know how to read and understand a letter or a newspaper easily, with difficulty, or not at all?

EASILY 1
WITH DIFFICULTY 2
NOT AT ALL 3 (GO TO 113)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Cannot read</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Reads</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Reads with difficulty</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Reads easily</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>LIT1 (V108) indicates whether the woman could read. This information was obtained in response to the question, "Can you read a letter or newspaper easily, with difficulty, or not at all?" In many countries, persons with secondary or higher levels of schooling were presumed to "read easily," but coding criteria varied across countries. Simply asking women whether and how easily they could read was the approach used to determine literacy in DHS Phases 1-3.

Beginning in Phase 4, a different approach was employed to determine literacy. See LIT2 (V155) for details about that second approach, which involved having the respondent read a sentence aloud. See LITBRIG for information about using the data on literacy across all phases of the DHS.</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_LITBRIG" name="W_LITBRIG" files="W" intrvl="discrete">
  <labl>Literacy bridging variable</labl>
  <imputation>Literacy bridging variable</imputation>
  <security>Literacy bridging variable</security>
  <embargo>Literacy bridging variable</embargo>
  <respUnit>Literacy bridging variable</respUnit>
  <qstn>
    <qstnLit>111) Do you know how to read and understand a letter or a newspaper easily, with difficulty, or not at all?

EASILY 1
WITH DIFFICULTY 2
NOT AT ALL 3 (GO TO 113)</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, reads</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Reads easily/whole sentence</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Reads with difficulty/part of sentence</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>No, cannot read</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Not ascertained (blind or diff. language)</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>No card with required language</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Blind or visually impaired</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>LITBRIG serves as a bridging variable between two approaches to collecting information on literacy.  Initially, respondents were asked, "Can you read a letter or newspaper easily, with difficulty, or not at all?"  In many countries, persons with secondary or higher levels of schooling were presumed to "read easily," but coding criteria varied across countries. 

Beginning with Phase 4 of the DHS, persons with less than secondary school education were asked to demonstrate their literacy level by reading aloud a sentence on a card and were classified as "cannot read at all," "able to read only parts of sentence," and "able to read whole sentence."  As before, those with secondary or higher schooling were presumed to have attained the highest literacy level.       

LITBRIG combines information from the first approach of asking about literacy (in LIT1 [V108]) and the second approach of testing literacy based on reading a sentence aloud (in LIT2 [V155]).  

See Comparability for more information.</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_EDUCLVL" name="W_EDUCLVL" files="W" intrvl="discrete">
  <labl>Highest educational level</labl>
  <imputation>Highest educational level</imputation>
  <security>Highest educational level</security>
  <embargo>Highest educational level</embargo>
  <respUnit>Highest educational level</respUnit>
  <qstn>
    <qstnLit>108) What is the highest level of education that you have attained: primary, first cycle of secondary, second cycle of secondary, or higher?

PRIMARY 1
FIRST CYCLE OF SECONDARY 2
SECOND CYCLE OF SECONDARY 3
HIGHER 4</qstnLit>
  </qstn>
  <catgry>
    <labl>No education</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Primary</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Secondary</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Higher</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>For women who ever went to school, EDUCLVL (V106) reports the highest level of school they attended. Countries vary in the gradations of their school systems, but EDUCLVL is a standardized variable reporting level of education in four broad categories: No education, Primary, Secondary, and Higher. 

The DHS recode manuals state, "In some countries the educational system does not fit naturally within this scheme, and a different categorization was used for the Final Report. In this case, this variable is constructed as accurately as possible from the country's own scheme, and the variable used for the Final Report is included as a country-specific variable."</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_YRSCHL" name="W_YRSCHL" files="W" intrvl="discrete">
  <labl>Highest year of education in level</labl>
  <imputation>Highest year of education in level</imputation>
  <security>Highest year of education in level</security>
  <embargo>Highest year of education in level</embargo>
  <respUnit>Highest year of education in level</respUnit>
  <qstn>
    <qstnLit>109) What was the last grade you completed at this level?

GRADES FOR PRIMARY

INTRODUCTORY COURSE 1
PREPARATORY COURSE 2
ELEMENTARY COURSE 1 3
ELEMENTARY COURSE 2 4
MID-LEVEL COURSE 1 5
MID-LEVEL COURSE 2 6

GRADES FOR SECONDARY, FIRST CYCLE

6TH 1
5TH 2
4TH 3
3RD 4
DON'T KNOW 8

GRADES FOR SECONDARY, SECOND

2ND 1
1ST 2
FINAL YEAR 3
DON'T KNOW 8

GRADES FOR HIGHER LEVEL

FIRST YEAR 1
SECOND YEAR 2
THIRD YEAR 3
FOURTH YEAR AND HIGHER 4
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who ever attended school, YRSCHL (V107) reports the number of years of education completed at the highest level of schooling achieved (primary, secondary, or higher), as reported in EDUCLVL (V106). See Comparability.

For the woman's total years of education, see EDYRTOTAL (V133).</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_EDYRTOTAL" name="W_EDYRTOTAL" files="W" intrvl="discrete">
  <labl>Total years education</labl>
  <imputation>Total years education</imputation>
  <security>Total years education</security>
  <embargo>Total years education</embargo>
  <respUnit>Total years education</respUnit>
  <qstn>
    <qstnLit>109) What was the last grade you completed at this level?

GRADES FOR PRIMARY

INTRODUCTORY COURSE 1
PREPARATORY COURSE 2
ELEMENTARY COURSE 1 3
ELEMENTARY COURSE 2 4
MID-LEVEL COURSE 1 5
MID-LEVEL COURSE 2 6

GRADES FOR SECONDARY, FIRST CYCLE

6TH 1
5TH 2
4TH 3
3RD 4
DON'T KNOW 8

GRADES FOR SECONDARY, SECOND

2ND 1
1ST 2
FINAL YEAR 3
DON'T KNOW 8

GRADES FOR HIGHER LEVEL

FIRST YEAR 1
SECOND YEAR 2
THIRD YEAR 3
FOURTH YEAR AND HIGHER 4
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <txt>EDYRTOTAL (V133) reports the woman's education level in single years. This variable is constructed from responses to EDUCLVL (V106) and YRSCHL (V107) as follows:

If EDUCLVL = "No education," EDYRTOTAL = "0"
If EDUCLVL = "Primary," EDYRTOTAL = YRSCHL
If EDUCLVL = "Secondary," EDYRTOTAL = YRSCHL + x
If EDUCLVL = "Higher," EDYRTOTAL = YRSCHL + y
If EDUCLVL = "Missing," EDYRTOTAL = "Missing"

In the above equations, "x" equals the number of years needed to complete primary education, and "y" equals the number of years needed to complete primary and secondary education. The values of "x" and "y" are country-specific.</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_EDACHIEVER" name="W_EDACHIEVER" files="W" intrvl="discrete">
  <labl>Summary educational achievement</labl>
  <imputation>Summary educational achievement</imputation>
  <security>Summary educational achievement</security>
  <embargo>Summary educational achievement</embargo>
  <respUnit>Summary educational achievement</respUnit>
  <qstn>
    <qstnLit>109) What was the last grade you completed at this level?

GRADES FOR PRIMARY

INTRODUCTORY COURSE 1
PREPARATORY COURSE 2
ELEMENTARY COURSE 1 3
ELEMENTARY COURSE 2 4
MID-LEVEL COURSE 1 5
MID-LEVEL COURSE 2 6

GRADES FOR SECONDARY, FIRST CYCLE

6TH 1
5TH 2
4TH 3
3RD 4
DON'T KNOW 8

GRADES FOR SECONDARY, SECOND

2ND 1
1ST 2
FINAL YEAR 3
DON'T KNOW 8

GRADES FOR HIGHER LEVEL

FIRST YEAR 1
SECOND YEAR 2
THIRD YEAR 3
FOURTH YEAR AND HIGHER 4
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <labl>No education</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Incomplete primary</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Complete primary</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Incomplete secondary</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Complete secondary</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Higher</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>EDACHIEVER (V149) is a summary variable that reports the woman's highest level of education in broad categories. Countries vary in the gradations of their school systems, but EDACHIEVER is a standardized variable providing the level of education in six categories: No education, Incomplete primary, Complete primary, Incomplete secondary, Complete secondary, and Higher.

EDACHIEVER is constructed from information contained in EDUCLVL (V106) and YRSCHL (V107).</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_INSCHOOL" name="W_INSCHOOL" files="W" intrvl="discrete">
  <labl>Woman still in school</labl>
  <imputation>Woman still in school</imputation>
  <security>Woman still in school</security>
  <embargo>Woman still in school</embargo>
  <respUnit>Woman still in school</respUnit>
  <qstn>
    <qstnLit>10) IF UNDER 25 YEARS OLD: Does (NAME) still go to school?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>INSCHOOL (V148) indicates whether young women are currently attending school or university. Women age 24 or older are assumed to no longer be in school and automatically coded as "No" (code "0").</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_HUSEDLVL" name="W_HUSEDLVL" files="W" intrvl="discrete">
  <labl>Partner's educational level</labl>
  <imputation>Partner's educational level</imputation>
  <security>Partner's educational level</security>
  <embargo>Partner's educational level</embargo>
  <respUnit>Partner's educational level</respUnit>
  <qstn>
    <qstnLit>703) What is the highest level of school that he reached: primary, post-primary, secondary, or higher?

PRIMARY 1
SECONDARY, FIRST CYCLE 2
SECONDARY, SECOND CYCLE 3
HIGHER 4
DON'T KNOW 8 (GO TO 705)</qstnLit>
  </qstn>
  <catgry>
    <labl>No education</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Primary</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Secondary</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Higher</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who had ever been married or lived with a man, HUSEDLVL (V701) reports the highest level of school attended by their most recent husband/partner. Countries vary in the gradations of their school systems, but HUSEDLVL is a standardized variable reporting the level of education in four categories: No education, Primary, Secondary, and Higher. 

The DHS recode manuals state, "In some countries the educational system does not fit naturally within this scheme, and a different categorization was used for the Final Report. In this case, this variable is constructed as accurately as possible from the country's own scheme, and the variable used for the Final Report is included as a country-specific variable."</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_HUSEDYR" name="W_HUSEDYR" files="W" intrvl="discrete">
  <labl>Partner's highest year of education in level</labl>
  <imputation>Partner's highest year of education in level</imputation>
  <security>Partner's highest year of education in level</security>
  <embargo>Partner's highest year of education in level</embargo>
  <respUnit>Partner's highest year of education in level</respUnit>
  <qstn>
    <qstnLit>704) What was the last (grade, year) that he completed at that level?

GRADE: ___
DON'T KNOW 8

CLASSES FOR PRIMARY LEVEL

INTRODUCTORY COURSE 1
PREPARATORY COURSE 2
ELEMENTARY COURSE 1 3
ELEMENTARY COURSE 2 4
MID-LEVEL COURSE 1 5
MID-LEVEL COURSE 2 6

CLASSES FOR SECONDARY, FIRST CYCLE LEVEL

6TH 1
5TH 2
4TH 3
3RD 4
DON'T KNOW 8

CLASSES FOR SECONDARY, SECOND CYCLE LEVEL

2ND 1
1ST 2
FINAL YEAR 3
DON'T KNOW 8

CLASSES FOR HIGHER LEVEL

FIRST YEAR 1
SECOND YEAR 2
THIRD YEAR 3
FOURTH YEAR AND HIGHER 4
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women whose most recent husband/partner had ever attended school, HUSEDYR (V702) reports the number of years of schooling completed by their husband/partner at the educational level (primary, secondary, or higher) reported in HUSEDLVL (V701).

For the husband's total years of education, see HUSEDYRS (V715).</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_HUSEDYRS" name="W_HUSEDYRS" files="W" intrvl="discrete">
  <labl>Partner's education in total years schooling</labl>
  <imputation>Partner's education in total years schooling</imputation>
  <security>Partner's education in total years schooling</security>
  <embargo>Partner's education in total years schooling</embargo>
  <respUnit>Partner's education in total years schooling</respUnit>
  <qstn>
    <qstnLit>704) What was the last (grade, year) that he completed at that level?

GRADE: ___
DON'T KNOW 8

CLASSES FOR PRIMARY LEVEL

INTRODUCTORY COURSE 1
PREPARATORY COURSE 2
ELEMENTARY COURSE 1 3
ELEMENTARY COURSE 2 4
MID-LEVEL COURSE 1 5
MID-LEVEL COURSE 2 6

CLASSES FOR SECONDARY, FIRST CYCLE LEVEL

6TH 1
5TH 2
4TH 3
3RD 4
DON'T KNOW 8

CLASSES FOR SECONDARY, SECOND CYCLE LEVEL

2ND 1
1ST 2
FINAL YEAR 3
DON'T KNOW 8

CLASSES FOR HIGHER LEVEL

FIRST YEAR 1
SECOND YEAR 2
THIRD YEAR 3
FOURTH YEAR AND HIGHER 4
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who had ever been married or lived with a man, HUSEDYRS (V715) reports the education of the woman's most recent husband/partner in single years. This variable is constructed from responses to HUSEDLVL (V701) and HUSEDYR (V702) as follows:

If HUSEDLVL = "No education," HUSEDYRS = "0"
If HUSEDLVL = "Primary," HUSEDYRS = HUSEDYR 
If HUSEDLVL = "Secondary," HUSEDYRS = HUSEDYR + x
If HUSEDLVL = "Higher," HUSEDYRS = HUSEDYR + y
If HUSEDLVL = "Missing," HUSEDYRS = "Missing"

In the above equations, "x" equals the number of years needed to complete primary education, and "y" equals the number of years needed to complete primary and secondary education. The values of "x" and "y" are country-specific.</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_HUSEDACHIEVER" name="W_HUSEDACHIEVER" files="W" intrvl="discrete">
  <labl>Husband's summary educational achievement</labl>
  <imputation>Husband's summary educational achievement</imputation>
  <security>Husband's summary educational achievement</security>
  <embargo>Husband's summary educational achievement</embargo>
  <respUnit>Husband's summary educational achievement</respUnit>
  <qstn>
    <qstnLit>704) What was the last (grade, year) that he completed at that level?

GRADE: ___
DON'T KNOW 8

CLASSES FOR PRIMARY LEVEL

INTRODUCTORY COURSE 1
PREPARATORY COURSE 2
ELEMENTARY COURSE 1 3
ELEMENTARY COURSE 2 4
MID-LEVEL COURSE 1 5
MID-LEVEL COURSE 2 6

CLASSES FOR SECONDARY, FIRST CYCLE LEVEL

6TH 1
5TH 2
4TH 3
3RD 4
DON'T KNOW 8

CLASSES FOR SECONDARY, SECOND CYCLE LEVEL

2ND 1
1ST 2
FINAL YEAR 3
DON'T KNOW 8

CLASSES FOR HIGHER LEVEL

FIRST YEAR 1
SECOND YEAR 2
THIRD YEAR 3
FOURTH YEAR AND HIGHER 4
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <labl>No education</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Incomplete primary</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Complete primary</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Incomplete secondary</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Complete secondary</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Higher</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>HUSEDACHIEVER (V729) is a summary variable that reports the highest level of education in broad categories for the woman's husband/partner. Countries vary in the gradations of their school systems, but HUSEDACHIEVER is a standardized variable providing the level of education in six categories: No education, Incomplete primary, Complete primary, Incomplete secondary, Complete secondary, and Higher. 

HUSEDACHIEVER is constructed from information contained in the HUSEDLVL (V701) and HUSEDYR (V702) variables.</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_NEWSWK" name="W_NEWSWK" files="W" intrvl="discrete">
  <labl>Reads newspaper once a week</labl>
  <imputation>Reads newspaper once a week</imputation>
  <security>Reads newspaper once a week</security>
  <embargo>Reads newspaper once a week</embargo>
  <respUnit>Reads newspaper once a week</respUnit>
  <qstn>
    <qstnLit>112) Do you read a journal or magazine practically at least once a week?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>NEWSWK (V109) indicates whether the woman usually reads a newspaper or magazine at least once a week. 

For a comparable variable reporting the frequency of newspaper or magazine reading, see NEWSFQ (V157). For a variable bridging NEWSWK and NEWSFQ, see NEWSBRIG.</txt>
  <concept>
    <title>Media exposure Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_NEWSBRIG" name="W_NEWSBRIG" files="W" intrvl="discrete">
  <labl>Reads newspaper: Bridging variable</labl>
  <imputation>Reads newspaper: Bridging variable</imputation>
  <security>Reads newspaper: Bridging variable</security>
  <embargo>Reads newspaper: Bridging variable</embargo>
  <respUnit>Reads newspaper: Bridging variable</respUnit>
  <qstn>
    <qstnLit>112) Do you read a journal or magazine practically at least once a week?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>No, not at all</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>No, less than once a week</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>At least once a week</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Almost every day</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <txt>NEWSBRIG serves as a bridging variable between two approaches to collecting information on exposure to newspapers and magazines.  For DHS Phases 1-3, respondents were asked whether they read a newspaper or magazine at least once a week (NEWSWK (V109)).  Beginning in DHS Phase 4, respondents were asked how often they read newspapers or magazines (NEWSFQ (V157)). 

NEWSBRIG uses composite coding to combine data from these two approaches. See Comparability for more information.</txt>
  <concept>
    <title>Media exposure Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TVWK" name="W_TVWK" files="W" intrvl="discrete">
  <labl>Watches TV every week</labl>
  <imputation>Watches TV every week</imputation>
  <security>Watches TV every week</security>
  <embargo>Watches TV every week</embargo>
  <respUnit>Watches TV every week</respUnit>
  <qstn>
    <qstnLit>114) Do you watch television at least once a week?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TVWK (V110) indicates whether the woman usually watches television at least once a week.

For a comparable variable reporting the frequency of watching television, see TVFQ (V159). For a variable bridging TVWK and TVFQ, see TVBRIG.</txt>
  <concept>
    <title>Media exposure Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TVBRIG" name="W_TVBRIG" files="W" intrvl="discrete">
  <labl>Watches television: Bridging variable</labl>
  <imputation>Watches television: Bridging variable</imputation>
  <security>Watches television: Bridging variable</security>
  <embargo>Watches television: Bridging variable</embargo>
  <respUnit>Watches television: Bridging variable</respUnit>
  <qstn>
    <qstnLit>114) Do you watch television at least once a week?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>No, not at all</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>No, less than once a week</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>At least once a week</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Almost every day</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <txt>TVBRIG serves as a bridging variable between two approaches to collecting information on exposure to television.  For DHS Phases 1-3, respondents were asked whether they watch television at least once a week (TVWK (V110)).  Beginning in DHS Phase 4, respondents were asked how often they watch television (TVFQ (V159)). 

TVBRIG uses composite coding to combine data from these two approaches; see Comparability.</txt>
  <concept>
    <title>Media exposure Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_RADIOWK" name="W_RADIOWK" files="W" intrvl="discrete">
  <labl>Listens to radio every week</labl>
  <imputation>Listens to radio every week</imputation>
  <security>Listens to radio every week</security>
  <embargo>Listens to radio every week</embargo>
  <respUnit>Listens to radio every week</respUnit>
  <qstn>
    <qstnLit>113) Do you listen to the radio at least once a week?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <txt>RADIOWK (V112) indicates whether the woman usually listens to the radio at least once a week. Women who reported that they listen to the radio daily (see RADIODAY (V111)) were automatically coded as "Yes."

For a comparable variable reporting the frequency of listening to the radio, see RADIOFQ (V158). For a variable bridging RADIOWK and RADIOFQ, see RADIOBRIG.</txt>
  <concept>
    <title>Media exposure Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_RADIOBRIG" name="W_RADIOBRIG" files="W" intrvl="discrete">
  <labl>Listens to radio: Bridging variable</labl>
  <imputation>Listens to radio: Bridging variable</imputation>
  <security>Listens to radio: Bridging variable</security>
  <embargo>Listens to radio: Bridging variable</embargo>
  <respUnit>Listens to radio: Bridging variable</respUnit>
  <qstn>
    <qstnLit>113) Do you listen to the radio at least once a week?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Not at all</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Less than once a week</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>At least once a week</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Almost every day</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <txt>RADIOBRIG serves as a bridging variable between two approaches to collecting information on exposure to the radio.  For DHS Phases 1-3, respondents were asked whether they listen to the radio at least once a week (RADIOWK (V112)).  Beginning in DHS Phase 4, respondents were asked how often they listen to the radio (RADIOFQ (V158)). 

RADIOBRIG uses composite coding to combine data from these two approaches; see Comparability.</txt>
  <concept>
    <title>Media exposure Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FERTPREF" name="W_FERTPREF" files="W" intrvl="discrete">
  <labl>Fertility preferences</labl>
  <imputation>Fertility preferences</imputation>
  <security>Fertility preferences</security>
  <embargo>Fertility preferences</embargo>
  <respUnit>Fertility preferences</respUnit>
  <qstn>
    <qstnLit>603) CHECK 223:

NOT PREGNANT OR UNSURE: Now I have some questions about the future. Would you like to have (a/another) child you would you prefer not have any (more) children?

PREGNANT: Now I have some questions about the future. After the child you're expecting, would you like to have another child or would you prefer to not have any more children?

HAVE (ANOTHER) CHILD 1
NO MORE/NONE 2 (GO TO 610)
SHE SAYS SHE CAN'T GET PREGNANT 3 (GO TO 610)
UNDECIDED OR DON'T KNOW 8 (GO TO 610)</qstnLit>
  </qstn>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>Never had sex</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Declared infecund</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Sterilized</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Not at risk of pregnancy</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Up to God</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>No more</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Undecided</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Have another</labl>
  </catgry>
  <txt>For countries with low contraceptive prevalence, FERTPREF (V602) reports responses to the question, "Would you like to have a (another) child or would you prefer not to have any (more) children"?  The standard response categories are "have another," "no more/none," "says she can't get pregnant," and "undecided or don't know."   

In Phase I, FERTPREF (V602), was constructed from two questions in countries with high contraceptive prevalence (Model "A" questionnaires). Women who responded that they want another child, but when asked when they would like the next child, respond that they cannot get pregnant, are classified in the "declared infecund category," and not in the "Wants another" category. 

Some samples also include the response "up to God." More detailed responses under the general category "says she can't get pregnant" are sometimes available. In IPUMS-DHS, all responses in the general category of "not at risk of pregnancy" share a common first digit of 5, while the second digit distinguishes between the specific reasons.  In some countries, women who never had sexual intercourse (coded as "53" in IPUMS-DHS) were not asked the questions relating to their desire for future children.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_UNMETNEED" name="W_UNMETNEED" files="W" intrvl="discrete">
  <labl>Unmet need for FP</labl>
  <imputation>Unmet need for FP</imputation>
  <security>Unmet need for FP</security>
  <embargo>Unmet need for FP</embargo>
  <respUnit>Unmet need for FP</respUnit>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Desire birth in less than 2 years</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>No unmet need</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>Never had sex</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Not in union, not sexually active</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Infecund or menopausal</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Not at risk</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>No sex, want to wait</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Future need for FP</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Limiting failure</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Spacing failure</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Had FP failure</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Using to limit</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Using to space</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Now using FP</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Unmet need to limit</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Unmet need to space</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Has unmet need for FP</labl>
  </catgry>
  <txt>UNMETNEED (V624) is a constructed variable that reports a woman's need for family planning according to whether she has an unmet need or a met need to space or to limit her future births.  

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

The following describes the constructed categories in more detail:

Unmet need for spacing includes pregnant women whose pregnancy was mistimed, postpartum amenorrheic women whose last birth was mistimed, and fecund women who are neither pregnant nor postpartum amenorrheic and who are not using any method of family planning and say they want to wait two or more years for their next birth, are undecided about the timing of the next birth, or are undecided whether to have another child. 
Unmet need for limiting includes pregnant women whose pregnancy was unwanted, postpartum amenorrheic women whose last birth was unwanted, and fecund women who are neither pregnant nor postpartum amenorrheic and who are not using any method of family planning and who want no more children. 
Met need for spacing includes women who are using some method of family planning and say they want to have another child, are undecided about the timing of the next birth, or are undecided whether to have another child. 
Met need for limiting includes women who are using family planning and who want no more children. 

Note that the specific methods (modern or traditional) are not taken into account here.

Met need describes women who have no need for contraceptive methods, either because they desire a child soon (within the next two years) or because they are menopausal or infecund. 

In high contraceptive prevalence countries (Model "A" countries), pregnant and postpartum amenorrheic women whose pregnancy was the result of a contraceptive failure are not included in the category of unmet need, but they are categorized as spacing failures or limiting failures. In low contraceptive prevalence countries (Model "B" countries), no such distinction is made, since information was not collected on contraceptive failure. Infecund women are also excluded from the unmet need categories.


The  "Online Guide to DHS Statistics" provides the following definitions:
  Fecundity:  A woman is assumed to be fecund unless she declares that she is infecund, had a hysterectomy, or is menopausic.  Women who are neither pregnant nor postpartum amenorrheic but who have not menstruated for six or more months, and married women who have not used contraception in the past five years but have not had a birth and are not pregnant, are also considered infecund.
 Failure to Space:  This includes women who are pregnant (not due to a contraceptive failure) or are less than six months postpartum amenorrheic who say they wanted the current pregnancy later.
 Failure to Limit:  This includes women who are pregnant (not due to a contraceptive failure) or are less than six months postpartum amenorrheic who say that they did not want another child before they became pregnant.

Excluded from the unmet need category are women who became pregnant while using a method (these women are in need of a better method of contraception).

The infecund or menopausal category on the UNMETNEED (V624) variable contains fewer cases than the EXPOSURE1 variable, because women who are categorized as infecund or menopausal, but are currently using a contraceptive method, are recorded in the two "met need" categories in UNMETNEED.


UNMETNEED (V624) incorporates responses to the following variables:

 [EXPOSURE1/V623], which reports the woman's exposure to the risk of pregnancy, defined as pregnant, postpartum amenorrheic, menopausal or infecund, and fecund. 
 [ V225], which reports whether a current pregnancy was wanted then, later or not at all (for women who were pregnant at the time of interview). 
 [KIDDESIRE/V605] ,which reports whether the woman wants more children and when she would like them.
 [FPMETHNOW/V312] which reports the woman's current use of contraception. 

Users are also encouraged to see details of this variable provided in the "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006) [URL omitted from DDI.].</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_UNMETNEED2" name="W_UNMETNEED2" files="W" intrvl="discrete">
  <labl>Unmet need for FP (2nd def)</labl>
  <imputation>Unmet need for FP (2nd def)</imputation>
  <security>Unmet need for FP (2nd def)</security>
  <embargo>Unmet need for FP (2nd def)</embargo>
  <respUnit>Unmet need for FP (2nd def)</respUnit>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>No sex, want to wait/not married and no sex in last 30 days</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Never had sex</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Infecund, menopausal</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Not at risk for pregnancy</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Desire birth in less than 2 yrs</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>No unmet need</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Limiting failure</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Spacing failure</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Family limitation failure</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Using to limit</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Using to space</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Now using FP</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Unmet need to limit</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Unmet need to space</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Has unmet need for FP</labl>
  </catgry>
  <txt>UNMETNEED2 (V626) is a constructed variable that indicates a woman's need for family planning according to whether she has an unmet need or a met need to space or to limit her future births.  UNMETNEED2 is similar to UNMETNEED, but UNMETNEED2 differently categorizes women who are infecund or menopausal but are currently using a contraceptive method. 

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

The construction of UNMETNEED2 uses a definition of fecundity based on exposure status as reported in EXPOSURE2. UNMETNEED, by contrast, uses a definition of exposure status as reported in EXPOSURE1. See the descriptions of these two variables for discussion of their differences.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDDESIRE" name="W_KIDDESIRE" files="W" intrvl="discrete">
  <labl>Desire for more children</labl>
  <imputation>Desire for more children</imputation>
  <security>Desire for more children</security>
  <embargo>Desire for more children</embargo>
  <respUnit>Desire for more children</respUnit>
  <qstn>
    <qstnLit>603) CHECK 223:

NOT PREGNANT OR UNSURE: Now I have some questions about the future. Would you like to have (a/another) child you would you prefer not have any (more) children?

PREGNANT: Now I have some questions about the future. After the child you're expecting, would you like to have another child or would you prefer to not have any more children?

HAVE (ANOTHER) CHILD 1
NO MORE/NONE 2 (GO TO 610)
SHE SAYS SHE CAN'T GET PREGNANT 3 (GO TO 610)
UNDECIDED OR DON'T KNOW 8 (GO TO 610)</qstnLit>
  </qstn>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>Never had sex</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>Declared infecund</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Sterilized</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Not at risk of pregnancy</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Up to God</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Fatalistic response</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Wants no more</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Undecided</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Wants, unsure timing</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Wants after 2+ years</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Wants within 2 years</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Wants more children</labl>
  </catgry>
  <txt>KIDDESIRE (V605) is a constructed variable that distinguishes between women who want another child soon (in less than two years), who want another child later (in 2+ years), who want no more children, and who aren't sure (about timing or about the number of children desired).  

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

The construction of this variable has changed across phases of the DHS and varies across countries (only sometimes distinguishing between groups of women not at risk of pregnancy due to sterilization, infecundity, or virginity).  To maximize comparability across samples, IPUMS-DHS employs composite coding.  Women who want more children share a common first digit of 1, women not at risk of pregnancy share a common first digit of 6, and detail present in only some samples is specified in the code's second digit.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPLCHDESIRE" name="W_FPLCHDESIRE" files="W" intrvl="discrete">
  <labl>Wanted last child</labl>
  <imputation>Wanted last child</imputation>
  <security>Wanted last child</security>
  <embargo>Wanted last child</embargo>
  <respUnit>Wanted last child</respUnit>
  <qstn>
    <qstnLit>403) At the time you became pregnant with (NAME), did you want to become pregnant then, did you want to wait until later, or did you want no more children at all?

THEN 1 (GO TO 405)
LATER 2
NO MORE 3 (GO TO 405)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Wanted last child then</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Wanted last child later</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Wanted no more children</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Unsure</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPLCHDESIRE (V367) reports whether the woman's last born child was wanted at the time she got pregnant, was wanted but at a later time, or was not wanted at all. The cutoff point for when the woman's last child was born varies across samples; see Comparability.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PGDESIRE" name="W_PGDESIRE" files="W" intrvl="discrete">
  <labl>Time wanted current pregnancy</labl>
  <imputation>Time wanted current pregnancy</imputation>
  <security>Time wanted current pregnancy</security>
  <embargo>Time wanted current pregnancy</embargo>
  <respUnit>Time wanted current pregnancy</respUnit>
  <qstn>
    <qstnLit>225) At the time you became pregnant, did you want to become pregnant then, did you want to wait until later or did you not want to become pregnant?

THEN 1
LATER 2
NOT AT ALL 3
GOD WILLED IT 4
DON'T KNOW 5</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Then</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Later</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Not at all</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Up to God</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know/Not sure</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are currently pregnant, PGDESIRE (V225) reports whether, at the time of becoming pregnant, the woman wanted her pregnancy then, later, or not at all.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_IDEALKID" name="W_IDEALKID" files="W" intrvl="discrete">
  <labl>Ideal number of children</labl>
  <imputation>Ideal number of children</imputation>
  <security>Ideal number of children</security>
  <embargo>Ideal number of children</embargo>
  <respUnit>Ideal number of children</respUnit>
  <qstn>
    <qstnLit>617) CHECK 216:

HAS LIVING CHILDREN: If you could go back to the time you did not have any children and could choose exactly the number of children to have in your whole life, how many would that be?

NO LIVING CHILDREN: If you could choose exactly the number of children to have in your whole life, how many would that be?

RECORD SINGLE NUMBER OR OTHER ANSWER.

NUMBER: ___
OTHER ANSWER (SPECIFY): ___ 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>Number she has currently</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>Depends on husband</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>As many as possible</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>Never thought about it</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>Any number/Fatalistic</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Up to God/As Allah wills</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Non-numeric response</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>As many as can care for</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>Doesn't want children</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>IDEALKID (V613) reports the ideal total number of children the woman would have liked to have in her whole life, regardless of her actual childbearing. The information is collected through hypothetical questions such as, "If you could go back to the time you did not have any children and could choose exactly the number of children to have in your whole life, how many would that be?" (for women with living children) or "If you could choose exactly the number of children to have in your whole life, how many would that be?" (for women without living children).

If the woman responded with a range of values, IDEALKID reports the midpoint between those values. According to the DHS Recode Manuals, "If the midpoint is not an exact number then the number is rounded up in half the cases and rounded down for the other half." The questionnaires included space for non-numeric "other" responses, such as "Up to God."

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_IDEALKIDGRP" name="W_IDEALKIDGRP" files="W" intrvl="discrete">
  <labl>Ideal number of children (grouped)</labl>
  <imputation>Ideal number of children (grouped)</imputation>
  <security>Ideal number of children (grouped)</security>
  <embargo>Ideal number of children (grouped)</embargo>
  <respUnit>Ideal number of children (grouped)</respUnit>
  <qstn>
    <qstnLit>617) CHECK 216:

HAS LIVING CHILDREN: If you could go back to the time you did not have any children and could choose exactly the number of children to have in your whole life, how many would that be?

NO LIVING CHILDREN: If you could choose exactly the number of children to have in your whole life, how many would that be?

RECORD SINGLE NUMBER OR OTHER ANSWER.

NUMBER: ___
OTHER ANSWER (SPECIFY): ___ 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Non-numeric response</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6+</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <labl>[no label]</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>Like IDEALKID, IDEALKIDGRP (V614) reports the total number of children the woman would hypothetically like to have in her whole life, regardless of her actual childbearing, but top-codes numeric responses at 6+ children and codes non-numeric responses as 7.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_IDEALBTHFUT" name="W_IDEALBTHFUT" files="W" intrvl="discrete">
  <labl>Ideal time before future birth</labl>
  <imputation>Ideal time before future birth</imputation>
  <security>Ideal time before future birth</security>
  <embargo>Ideal time before future birth</embargo>
  <respUnit>Ideal time before future birth</respUnit>
  <qstn>
    <qstnLit>604) CHECK 223:

NOT PREGNANT OR UNSURE: How long would you like to wait from now before (a/another) child?

PREGNANT: How long would you like to wait after the birth of the child you are expecting before the birth of another child?

MONTHS: ___ 1 (GO TO 610)
YEARS: ___ 2 (GO TO 610)
SOON/NOW 994 (GO TO 610)
SHE SAYS SHE CAN'T GET PREGNANT 995 (GO TO 610)
OTHER (SPECIFY): ___ 996
DON'T KNOW 998</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67 months</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68 months</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69 months</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70 months</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71 months</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72 months</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73 months</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74 months</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75 months</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76 months</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77 months</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78 months</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79 months</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80 months</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81 months</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82 months</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83 months</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84 months</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85 months</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86 months</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87 months</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88 months</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89 months</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90 months</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>91 months</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>92 months</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>93 months</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>94 months</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>95 months</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>96 months</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>97 months</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>98 months</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Months, unspecified number</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35+ years</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Years, number missing</labl>
  </catgry>
  <catgry>
    <catValu>989</catValu>
    <labl>Up to God</labl>
  </catgry>
  <catgry>
    <catValu>990</catValu>
    <labl>After finishing school</labl>
  </catgry>
  <catgry>
    <catValu>991</catValu>
    <labl>After marriage</labl>
  </catgry>
  <catgry>
    <catValu>992</catValu>
    <labl>When husband returns</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>After breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>At any time</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Soon/now</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>IDEALBTHFUT (V616) reports how long the woman would like to wait before the birth of a/another child.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_IDEALBTHINT" name="W_IDEALBTHINT" files="W" intrvl="discrete">
  <labl>Best interval between births</labl>
  <imputation>Best interval between births</imputation>
  <security>Best interval between births</security>
  <embargo>Best interval between births</embargo>
  <respUnit>Best interval between births</respUnit>
  <qstn>
    <qstnLit>618) What do you think is the best number of months or years between the birth of one child and the birth of the next child?

MONTHS: ___ 1
YEARS: ___ 2
OTHER (SPECIFY): ___ 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>169</catValu>
    <labl>69 months</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68 months</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Months, unspecified number</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Years, unspecified number</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67 months</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70 months</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71 months</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72 months</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73 months</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74 months</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75 months</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76 months</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77 months</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78 months</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79 months</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80 months</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81 months</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82 months</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83 months</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84 months</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85 months</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86 months</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87 months</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88 months</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89 months</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90 months</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 years</labl>
  </catgry>
  <txt>IDEALBTHINT (V615) reports the best number of months or years between the birth of one child and the birth of the next child, according to the respondent.

IPUMS-DHS adopts the recoding system from DHS for IDEALBTHINT. Below is a description of the codes from the DHS Recode Manual for Phase 2:


The first digit gives the units in which the respondent answered ("1" indicates months, "2" indicates years, and "9" indicates a special response), while the last two digits give the time in those units. If the units' value is 9 then the variable contains a special response, and if the duration value is greater than 90 this also indicates a special response. For example, code 996 is used for "other" answers, and code 299 would mean that the response was given in years but the actual duration was missing on the questionnaire.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PREFTIMECH" name="W_PREFTIMECH" files="W" intrvl="discrete">
  <labl>Preferred waiting time for birth of a(nother) child</labl>
  <imputation>Preferred waiting time for birth of a(nother) child</imputation>
  <security>Preferred waiting time for birth of a(nother) child</security>
  <embargo>Preferred waiting time for birth of a(nother) child</embargo>
  <respUnit>Preferred waiting time for birth of a(nother) child</respUnit>
  <qstn>
    <qstnLit>604) CHECK 223:

NOT PREGNANT OR UNSURE: How long would you like to wait from now before (a/another) child?

PREGNANT: How long would you like to wait after the birth of the child you are expecting before the birth of another child?

MONTHS: ___ 1 (GO TO 610)
YEARS: ___ 2 (GO TO 610)
SOON/NOW 994 (GO TO 610)
SHE SAYS SHE CAN'T GET PREGNANT 995 (GO TO 610)
OTHER (SPECIFY): ___ 996
DON'T KNOW 998</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than one month (want now)</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67 months</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68 months</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69 months</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70 months</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71 months</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72 months</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73 months</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74 months</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75 months</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76 months</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77 months</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78 months</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79 months</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80 months</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81 months</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82 months</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83 months</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84 months</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85 months</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86 months</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87 months</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88 months</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89 months</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90 months</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>91 months</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>92 months</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>93 months</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>94 months</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>95 months</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>96 months</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>97 months</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>98 months</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Months, number unspecified</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than one year</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 years or more</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Years, number unspecified</labl>
  </catgry>
  <catgry>
    <catValu>987</catValu>
    <labl>After weaning</labl>
  </catgry>
  <catgry>
    <catValu>989</catValu>
    <labl>After finishing school</labl>
  </catgry>
  <catgry>
    <catValu>990</catValu>
    <labl>When spouse returns</labl>
  </catgry>
  <catgry>
    <catValu>991</catValu>
    <labl>Up to God</labl>
  </catgry>
  <catgry>
    <catValu>992</catValu>
    <labl>After marriage</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>Any time</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>Soon or immediately</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Other, non-numeric response</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent response</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who want to have a/another child, PREFTIMECH (V603) reports the amount of time, in months or years, they would like to wait before the birth of a/another child (top-coded at 20 years). The complementary variable PREFTIMECH (V604) reports responses to the same question, but in terms of years only, top-coded at 6+ years.

PREFTIMECH includes women who are either pregnant or at risk of pregnancy. However, the definition of "at risk of pregnancy" varies across samples, and the way this variable was asked and calculated also changed over time; see Comparability.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PREFTIMECHGP" name="W_PREFTIMECHGP" files="W" intrvl="discrete">
  <labl>Preferred waiting time for birth of a(nother) child (grouped)</labl>
  <imputation>Preferred waiting time for birth of a(nother) child (grouped)</imputation>
  <security>Preferred waiting time for birth of a(nother) child (grouped)</security>
  <embargo>Preferred waiting time for birth of a(nother) child (grouped)</embargo>
  <respUnit>Preferred waiting time for birth of a(nother) child (grouped)</respUnit>
  <qstn>
    <qstnLit>604) CHECK 223:

NOT PREGNANT OR UNSURE: How long would you like to wait from now before (a/another) child?

PREGNANT: How long would you like to wait after the birth of the child you are expecting before the birth of another child?

MONTHS: ___ 1 (GO TO 610)
YEARS: ___ 2 (GO TO 610)
SOON/NOW 994 (GO TO 610)
SHE SAYS SHE CAN'T GET PREGNANT 995 (GO TO 610)
OTHER (SPECIFY): ___ 996
DON'T KNOW 998</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Less than 12 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6 or more years</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Non-numeric response</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who want to have a/another child, PREFTIMECHGP (V604) reports the amount of time, in years, they would like to wait before the birth of a/another child, top-coded at 6+ years.  

PREFTIMECHGP includes women who are either pregnant or at risk of pregnancy. However, the definition of "at risk of pregnancy" varies across samples; see Comparability. 

The related variable PREFTIMECH presents the same information in greater detail, in terms of months or years, top-coded at 20 years.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_IDEALAGECH" name="W_IDEALAGECH" files="W" intrvl="discrete">
  <labl>Desired age of youngest child at future birth</labl>
  <imputation>Desired age of youngest child at future birth</imputation>
  <security>Desired age of youngest child at future birth</security>
  <embargo>Desired age of youngest child at future birth</embargo>
  <respUnit>Desired age of youngest child at future birth</respUnit>
  <qstn>
    <qstnLit>606) CHECK 223:

NOT PREGNANT OR UNSURE: How old would you like your youngest child to be when your next child is born?

PREGNANT: How old would you like the child you are expecting to be when your next child is born?

AGE OF YOUNGEST CHILD IN YEARS: ___ (GO TO 610)
DON'T KNOW 98 (GO TO 610)</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20 years</labl>
  </catgry>
  <txt>For women who want to have a (another) child, IDEALAGECH (V617) reports the ideal age of their youngest child at the time of a future birth.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FERTPREFTLKH" name="W_FERTPREFTLKH" files="W" intrvl="discrete">
  <labl>Discussed number of children with partner</labl>
  <imputation>Discussed number of children with partner</imputation>
  <security>Discussed number of children with partner</security>
  <embargo>Discussed number of children with partner</embargo>
  <respUnit>Discussed number of children with partner</respUnit>
  <qstn>
    <qstnLit>612) Have you talked to your husband about the number of children you'd like to have?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FERTPREFTLKH (V620) indicates whether the woman and her husband/partner have discussed the number of children they would like to have.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_HUSFERTPREF" name="W_HUSFERTPREF" files="W" intrvl="discrete">
  <labl>Husband's desire for children</labl>
  <imputation>Husband's desire for children</imputation>
  <security>Husband's desire for children</security>
  <embargo>Husband's desire for children</embargo>
  <respUnit>Husband's desire for children</respUnit>
  <qstn>
    <qstnLit>613) Do you think your husband/partner wants the same number of children that you want, or does he want more or fewer than you want?

SAME NUMBER 1
MORE CHILDREN 2
FEWER CHILDREN 3
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Both want same</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Husband wants more</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Husband wants fewer</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Don't Know</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Both provided non-numeric response</labl>
  </catgry>
  <txt>HUSFERTPREF (V621) reports whether the woman believes her partner wants the same number of children, more children, or fewer children than she wants.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPAPPROVE" name="W_FPAPPROVE" files="W" intrvl="discrete">
  <labl>Respondent approves of couples using FP</labl>
  <imputation>Respondent approves of couples using FP</imputation>
  <security>Respondent approves of couples using FP</security>
  <embargo>Respondent approves of couples using FP</embargo>
  <respUnit>Respondent approves of couples using FP</respUnit>
  <qstn>
    <qstnLit>616) In general, do you approve or disapprove of couples using a method to avoid getting pregnant?

APPROVE 1
DISAPPROVE 2</qstnLit>
  </qstn>
  <catgry>
    <labl>Disapproves</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Approves</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Depends</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know/Undecided</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPAPPROVE (V612) indicates whether the woman approves, in general, of the use of family planning to avoid a pregnancy.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_HUSPROFP" name="W_HUSPROFP" files="W" intrvl="discrete">
  <labl>Husband approves FP use</labl>
  <imputation>Husband approves FP use</imputation>
  <security>Husband approves FP use</security>
  <embargo>Husband approves FP use</embargo>
  <respUnit>Husband approves FP use</respUnit>
  <qstn>
    <qstnLit>610) Do you think that your husband/partner approves or disapproves of couples using a method to avoid pregnancy?

APPROVES 1
DISAPPROVES 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Disapproves</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Approves or indifferent</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Approves</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Indifferent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>HUSPROFP (V610) indicates whether the woman believes her husband or male partner approves of couples using a family planning method to avoid pregnancy.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_EXPOSURE1" name="W_EXPOSURE1" files="W" intrvl="discrete">
  <labl>Fecund, pregnant, amenorrheic, or infecund</labl>
  <imputation>Fecund, pregnant, amenorrheic, or infecund</imputation>
  <security>Fecund, pregnant, amenorrheic, or infecund</security>
  <embargo>Fecund, pregnant, amenorrheic, or infecund</embargo>
  <respUnit>Fecund, pregnant, amenorrheic, or infecund</respUnit>
  <catgry>
    <catValu>3</catValu>
    <labl>Infecund, menopausal</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Amenorrheic</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Pregnant</labl>
  </catgry>
  <catgry>
    <labl>Fecund</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>EXPOSURE1 (V623) is a constructed variable that draws upon responses to several questions to differentiate between pregnant women, postpartum amenorrheic women, menopausal or infecund women, and fecund women.  

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

According to the DHS Recode Manuals, these categories are actualized as follows:

Pregnant women
Postpartum amenorrheic women are those whose period has not returned since the last birth in the three/five years preceding the survey.
Women are defined as being menopausal if they are not pregnant and not postpartum amenorrheic, are not currently using a contraceptive method, and have not had a period in the six months preceding the survey or report they are in menopause.
Women are defined as being infecund if they are not menopausal and not postpartum amenorrheic and not pregnant, have had no birth in the five years preceding the survey, and either (Model "A" countries) have been continuously married and have not used contraception in the five years preceding the survey, or (Model "B" countries) have been married one time and first married five or more years before the survey and have never used contraception.
Fecund women are all women not included in the preceding categories.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_EXPOSURE2" name="W_EXPOSURE2" files="W" intrvl="discrete">
  <labl>Fecund, pregnant, amenorrheic, or infecund (2nd def)</labl>
  <imputation>Fecund, pregnant, amenorrheic, or infecund (2nd def)</imputation>
  <security>Fecund, pregnant, amenorrheic, or infecund (2nd def)</security>
  <embargo>Fecund, pregnant, amenorrheic, or infecund (2nd def)</embargo>
  <respUnit>Fecund, pregnant, amenorrheic, or infecund (2nd def)</respUnit>
  <catgry>
    <labl>Fecund</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Pregnant</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Amenorrheic</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Infecund, menopausal</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>Like EXPOSURE1, EXPOSURE2 (V625) is a constructed variable that draws upon responses to several questions to distinguish between pregnant women, postpartum amenorrheic women, menopausal or infecund women, and fecund women. EXPOSURE2 uses a more liberal definition of infecundity than EXPOSURE1, however.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

The DHS Recode Manuals explain the differences between these two variables as follows:

For Model "B" countries, it is only possible to say that a woman had been continuously married throughout the preceding five years if she was in her first union. This definition has been relaxed in V625 [EXPOSURE2], such that the respondent need only have been married at least five years ago, and not continuously married throughout the last five years. For Model "A" countries, there is no change to this part of the definition.

[For EXPOSURE2] Two additional variables have been used to declare a woman infecund. If the respondent said that she cannot get pregnant when asked about preferences for additional children, or if she reported that she was menopausal or had a hysterectomy when giving the reason she was not currently using a contraceptive method, the respondent is coded as infecund.

Model A countries and Model B countries are defined according to whether the country based its questionnaire on the Model A or Model B standard DHS questionnaire for DHS phases one through four. In general, the Model A questionnaire was designed for use in countries with high contraceptive prevalence. Nonetheless, countries with relatively low contraceptive prevalence sometimes modeled their own questionnaire on the Model A standard questionnaire. This was the case, for example, for the Kenyan samples for 1998 and 2003 and the Malawi samples for 2000 and 2004.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPKNOTYP" name="W_FPKNOTYP" files="W" intrvl="discrete">
  <labl>Know any type of FP method</labl>
  <imputation>Know any type of FP method</imputation>
  <security>Know any type of FP method</security>
  <embargo>Know any type of FP method</embargo>
  <respUnit>Know any type of FP method</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Knows no method</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Knows only traditional or folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Knows only folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Knows only traditional method</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Knows modern method</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOTYP (V301) is a summary (recoded) variable indicating whether the woman knew any family planning method and, if so, whether she knew a modern method or only a traditional or folkloric method.  

In the DHS, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception.  

Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence.  Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet) that vary across samples.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPKNOPILL" name="W_FPKNOPILL" files="W" intrvl="discrete">
  <labl>Know about Pill for FP</labl>
  <imputation>Know about Pill for FP</imputation>
  <security>Know about Pill for FP</security>
  <embargo>Know about Pill for FP</embargo>
  <respUnit>Know about Pill for FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOPILL (V304_01) indicates whether the woman knew about the Pill as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPKNOIUD" name="W_FPKNOIUD" files="W" intrvl="discrete">
  <labl>Know about IUD for FP</labl>
  <imputation>Know about IUD for FP</imputation>
  <security>Know about IUD for FP</security>
  <embargo>Know about IUD for FP</embargo>
  <respUnit>Know about IUD for FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOIUD (V304_02) indicates whether the woman knew about the IUD (intra-uterine device) as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.  In probe questions, an IUD was often described as "a loop or coil placed inside them by a doctor or a nurse."</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPKNOINJ" name="W_FPKNOINJ" files="W" intrvl="discrete">
  <labl>Know about injectable FP</labl>
  <imputation>Know about injectable FP</imputation>
  <security>Know about injectable FP</security>
  <embargo>Know about injectable FP</embargo>
  <respUnit>Know about injectable FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOINJ (V304_03) indicates whether the woman knew about injectables as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability. For the probe question, injectables were typically defined as "an injection by a doctor or nurse, which stops them from becoming pregnant for several months."</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPKNODIA" name="W_FPKNODIA" files="W" intrvl="discrete">
  <labl>Know about diaphragm for  FP</labl>
  <imputation>Know about diaphragm for  FP</imputation>
  <security>Know about diaphragm for  FP</security>
  <embargo>Know about diaphragm for  FP</embargo>
  <respUnit>Know about diaphragm for  FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNODIA (V304_04) indicates whether the woman knew about the diaphragm or spermicides, such as a foam or jelly, as a method for family planning. Some phases combine diaphragm and spermicides in the response and some are separate; see Comparability. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPKNOCON" name="W_FPKNOCON" files="W" intrvl="discrete">
  <labl>Know about condom for FP</labl>
  <imputation>Know about condom for FP</imputation>
  <security>Know about condom for FP</security>
  <embargo>Know about condom for FP</embargo>
  <respUnit>Know about condom for FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOCON (V304_05) indicates whether the woman knew about male condoms as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPKNOFST" name="W_FPKNOFST" files="W" intrvl="discrete">
  <labl>Know about female sterilization for FP</labl>
  <imputation>Know about female sterilization for FP</imputation>
  <security>Know about female sterilization for FP</security>
  <embargo>Know about female sterilization for FP</embargo>
  <respUnit>Know about female sterilization for FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOFST (V304_06) indicates whether the woman knew about female sterilization as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPKNOMST" name="W_FPKNOMST" files="W" intrvl="discrete">
  <labl>Know about male sterilization for FP</labl>
  <imputation>Know about male sterilization for FP</imputation>
  <security>Know about male sterilization for FP</security>
  <embargo>Know about male sterilization for FP</embargo>
  <respUnit>Know about male sterilization for FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOMST (V304_07) indicates whether the woman knew about male sterilization as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPKNOWD" name="W_FPKNOWD" files="W" intrvl="discrete">
  <labl>Know about withdrawal for FP</labl>
  <imputation>Know about withdrawal for FP</imputation>
  <security>Know about withdrawal for FP</security>
  <embargo>Know about withdrawal for FP</embargo>
  <respUnit>Know about withdrawal for FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOWD (V304_09) indicates whether the woman knew about withdrawal as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPKNORHY" name="W_FPKNORHY" files="W" intrvl="discrete">
  <labl>Know about rhythm for FP</labl>
  <imputation>Know about rhythm for FP</imputation>
  <security>Know about rhythm for FP</security>
  <embargo>Know about rhythm for FP</embargo>
  <respUnit>Know about rhythm for FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNORHY (V304_08) indicates whether the woman knew about the rhythm method (periodic abstinence at the high-fertility part of the woman's menstrual cycle) as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPKNOCHARM" name="W_FPKNOCHARM" files="W" intrvl="discrete">
  <labl>Knows about charms or amulets as a method of family planning</labl>
  <imputation>Knows about charms or amulets as a method of family planning</imputation>
  <security>Knows about charms or amulets as a method of family planning</security>
  <embargo>Knows about charms or amulets as a method of family planning</embargo>
  <respUnit>Knows about charms or amulets as a method of family planning</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>FPKNOCHARM indicates whether the woman knew about using charms or amulets as a method for family planning. The complementary variable FPEVUSCHARM indicates whether the woman had ever used this method to delay or avoid a pregnancy. 

Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPKNORELIG" name="W_FPKNORELIG" files="W" intrvl="discrete">
  <labl>Knows about religion as a method of family planning</labl>
  <imputation>Knows about religion as a method of family planning</imputation>
  <security>Knows about religion as a method of family planning</security>
  <embargo>Knows about religion as a method of family planning</embargo>
  <respUnit>Knows about religion as a method of family planning</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>FPKNORELIG indicates whether the woman knew about using religion, such as a religious holy person or holy book, to delay or avoid a pregnancy. The complementary variable FPEVUSRELIG indicates whether the woman had ever used religion to delay or avoid a pregnancy. 

Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPKNOOM" name="W_FPKNOOM" files="W" intrvl="discrete">
  <labl>Knows about other contraceptive as a method of family planning</labl>
  <imputation>Knows about other contraceptive as a method of family planning</imputation>
  <security>Knows about other contraceptive as a method of family planning</security>
  <embargo>Knows about other contraceptive as a method of family planning</embargo>
  <respUnit>Knows about other contraceptive as a method of family planning</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOOM (V304_10) indicates whether the woman knew about any "other" method(s) as a method of family planning. The complementary variable FPEVUSOM indicates whether the woman had ever used any "other" method(s) to delay or avoid a pregnancy. The meaning of "other" in this case depends on the specific response categories included in a given sample. 

Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPKNOANYSRC" name="W_FPKNOANYSRC" files="W" intrvl="discrete">
  <labl>Known source for FP</labl>
  <imputation>Known source for FP</imputation>
  <security>Known source for FP</security>
  <embargo>Known source for FP</embargo>
  <respUnit>Known source for FP</respUnit>
  <qstn>
    <qstnLit>332) Do you know of a place where you can obtain a method of family planning?

YES 1
NO 2 (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>0000</catValu>
    <labl>No one/did not consult source</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>PUBLIC SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Government hospital</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>National/central hospital</labl>
  </catgry>
  <catgry>
    <catValu>1130</catValu>
    <labl>Regional/provincial hospital</labl>
  </catgry>
  <catgry>
    <catValu>1140</catValu>
    <labl>Urban hospital</labl>
  </catgry>
  <catgry>
    <catValu>1150</catValu>
    <labl>District/rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>1151</catValu>
    <labl>District hospital</labl>
  </catgry>
  <catgry>
    <catValu>1152</catValu>
    <labl>Rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>1160</catValu>
    <labl>University/teaching hospital</labl>
  </catgry>
  <catgry>
    <catValu>1161</catValu>
    <labl>University hospital</labl>
  </catgry>
  <catgry>
    <catValu>1162</catValu>
    <labl>Teaching hospital</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Government health center</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Referral health center</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Community health center</labl>
  </catgry>
  <catgry>
    <catValu>1230</catValu>
    <labl>Urban health center</labl>
  </catgry>
  <catgry>
    <catValu>1240</catValu>
    <labl>Rural health center</labl>
  </catgry>
  <catgry>
    <catValu>1250</catValu>
    <labl>Integrated health center</labl>
  </catgry>
  <catgry>
    <catValu>1260</catValu>
    <labl>Family welfare center</labl>
  </catgry>
  <catgry>
    <catValu>1270</catValu>
    <labl>Primary health center</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>Government pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>1310</catValu>
    <labl>Government pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>1320</catValu>
    <labl>Government dispensary</labl>
  </catgry>
  <catgry>
    <catValu>1400</catValu>
    <labl>Government maternity home</labl>
  </catgry>
  <catgry>
    <catValu>1410</catValu>
    <labl>Mother and child health (MCH) center</labl>
  </catgry>
  <catgry>
    <catValu>1420</catValu>
    <labl>Rural maternity clinic</labl>
  </catgry>
  <catgry>
    <catValu>1500</catValu>
    <labl>Government family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>1510</catValu>
    <labl>Stand-alone family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>1520</catValu>
    <labl>Mobile family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>1600</catValu>
    <labl>Government outreach</labl>
  </catgry>
  <catgry>
    <catValu>1610</catValu>
    <labl>Government health post</labl>
  </catgry>
  <catgry>
    <catValu>1611</catValu>
    <labl>Village health post</labl>
  </catgry>
  <catgry>
    <catValu>1620</catValu>
    <labl>Government mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>1630</catValu>
    <labl>Government health worker</labl>
  </catgry>
  <catgry>
    <catValu>1631</catValu>
    <labl>Fieldworker</labl>
  </catgry>
  <catgry>
    <catValu>1632</catValu>
    <labl>Community-based distribution agent (CBDA)</labl>
  </catgry>
  <catgry>
    <catValu>1633</catValu>
    <labl>Community/village health worker</labl>
  </catgry>
  <catgry>
    <catValu>1634</catValu>
    <labl>Health surveillance assistant (HSA)</labl>
  </catgry>
  <catgry>
    <catValu>1635</catValu>
    <labl>Paramedic</labl>
  </catgry>
  <catgry>
    <catValu>1636</catValu>
    <labl>Doctor</labl>
  </catgry>
  <catgry>
    <catValu>1637</catValu>
    <labl>Nurse</labl>
  </catgry>
  <catgry>
    <catValu>1900</catValu>
    <labl>Other public sector</labl>
  </catgry>
  <catgry>
    <catValu>1901</catValu>
    <labl>Camp</labl>
  </catgry>
  <catgry>
    <catValu>1902</catValu>
    <labl>Health box</labl>
  </catgry>
  <catgry>
    <catValu>1903</catValu>
    <labl>Health station/clinic</labl>
  </catgry>
  <catgry>
    <catValu>1904</catValu>
    <labl>Health office</labl>
  </catgry>
  <catgry>
    <catValu>1905</catValu>
    <labl>Community clinic</labl>
  </catgry>
  <catgry>
    <catValu>1906</catValu>
    <labl>Health insurance organization</labl>
  </catgry>
  <catgry>
    <catValu>1907</catValu>
    <labl>Curative care organization</labl>
  </catgry>
  <catgry>
    <catValu>1908</catValu>
    <labl>Parastatal health facility</labl>
  </catgry>
  <catgry>
    <catValu>1909</catValu>
    <labl>Female Community Health Volunteer Program (FCHV) of Nepal</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>PRIVATE MEDICAL SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Private hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Private hospital</labl>
  </catgry>
  <catgry>
    <catValu>2111</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>Private clinic</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Private doctor</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Qualified doctor</labl>
  </catgry>
  <catgry>
    <catValu>2220</catValu>
    <labl>Traditional doctor</labl>
  </catgry>
  <catgry>
    <catValu>2230</catValu>
    <labl>Doctor/birth attendant</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Private pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>2310</catValu>
    <labl>Private pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>2320</catValu>
    <labl>Private dispensary</labl>
  </catgry>
  <catgry>
    <catValu>2400</catValu>
    <labl>Private family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>2500</catValu>
    <labl>Private outreach</labl>
  </catgry>
  <catgry>
    <catValu>2510</catValu>
    <labl>Private mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>2520</catValu>
    <labl>Private health worker</labl>
  </catgry>
  <catgry>
    <catValu>2521</catValu>
    <labl>Fieldworker</labl>
  </catgry>
  <catgry>
    <catValu>2522</catValu>
    <labl>Community-based distribution agent (CBDA)</labl>
  </catgry>
  <catgry>
    <catValu>2523</catValu>
    <labl>Nurse</labl>
  </catgry>
  <catgry>
    <catValu>2524</catValu>
    <labl>Paramedic</labl>
  </catgry>
  <catgry>
    <catValu>2526</catValu>
    <labl>Community/village health worker</labl>
  </catgry>
  <catgry>
    <catValu>2527</catValu>
    <labl>Midwife</labl>
  </catgry>
  <catgry>
    <catValu>2600</catValu>
    <labl>Private health center</labl>
  </catgry>
  <catgry>
    <catValu>2610</catValu>
    <labl>VCT center</labl>
  </catgry>
  <catgry>
    <catValu>2700</catValu>
    <labl>Private maternity home</labl>
  </catgry>
  <catgry>
    <catValu>2900</catValu>
    <labl>Other private medical sector</labl>
  </catgry>
  <catgry>
    <catValu>2901</catValu>
    <labl>Care room</labl>
  </catgry>
  <catgry>
    <catValu>2902</catValu>
    <labl>Tent</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>NGO FACILITY</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>NGO health facility</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Static clinic</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Satellite clinic</labl>
  </catgry>
  <catgry>
    <catValu>3130</catValu>
    <labl>Community-based outlet</labl>
  </catgry>
  <catgry>
    <catValu>3140</catValu>
    <labl>UN Relief and Works Agency (UNRWA)</labl>
  </catgry>
  <catgry>
    <catValu>3150</catValu>
    <labl>International Rescue Committee (IRC)</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>NGO health worker</labl>
  </catgry>
  <catgry>
    <catValu>3210</catValu>
    <labl>Depot holder</labl>
  </catgry>
  <catgry>
    <catValu>3220</catValu>
    <labl>Fieldworker</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Country-specific NGOs</labl>
  </catgry>
  <catgry>
    <catValu>3301</catValu>
    <labl>AMO Congo</labl>
  </catgry>
  <catgry>
    <catValu>3302</catValu>
    <labl>Egypt family planning association (EFPA)</labl>
  </catgry>
  <catgry>
    <catValu>3303</catValu>
    <labl>CSI project</labl>
  </catgry>
  <catgry>
    <catValu>3304</catValu>
    <labl>Family Guidance Association of Ethiopia (FGAE)</labl>
  </catgry>
  <catgry>
    <catValu>3305</catValu>
    <labl>BLM</labl>
  </catgry>
  <catgry>
    <catValu>3306</catValu>
    <labl>MACRO</labl>
  </catgry>
  <catgry>
    <catValu>3307</catValu>
    <labl>Marie Stopes</labl>
  </catgry>
  <catgry>
    <catValu>3308</catValu>
    <labl>Red Cross Society</labl>
  </catgry>
  <catgry>
    <catValu>3309</catValu>
    <labl>AFGA</labl>
  </catgry>
  <catgry>
    <catValu>3310</catValu>
    <labl>Family Planning Association of Nepal (FPAN)</labl>
  </catgry>
  <catgry>
    <catValu>3311</catValu>
    <labl>Institute for Family Health (IFH)</labl>
  </catgry>
  <catgry>
    <catValu>3900</catValu>
    <labl>Other NGO facility</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>RELIGIOUS/MISSION</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>Religious hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>4110</catValu>
    <labl>Religious hospital</labl>
  </catgry>
  <catgry>
    <catValu>4111</catValu>
    <labl>Religious referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>4112</catValu>
    <labl>Religious district hospital</labl>
  </catgry>
  <catgry>
    <catValu>4120</catValu>
    <labl>Religious clinic</labl>
  </catgry>
  <catgry>
    <catValu>4200</catValu>
    <labl>Religious health center/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>4210</catValu>
    <labl>Religious health center</labl>
  </catgry>
  <catgry>
    <catValu>4211</catValu>
    <labl>Mosque health center</labl>
  </catgry>
  <catgry>
    <catValu>4212</catValu>
    <labl>Church health center</labl>
  </catgry>
  <catgry>
    <catValu>4220</catValu>
    <labl>Religious dispensary</labl>
  </catgry>
  <catgry>
    <catValu>4300</catValu>
    <labl>Religious mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>4400</catValu>
    <labl>Religious door-to-door</labl>
  </catgry>
  <catgry>
    <catValu>4900</catValu>
    <labl>Other religious</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Shop/market</labl>
  </catgry>
  <catgry>
    <catValu>5110</catValu>
    <labl>Shop</labl>
  </catgry>
  <catgry>
    <catValu>5111</catValu>
    <labl>General dealer</labl>
  </catgry>
  <catgry>
    <catValu>5112</catValu>
    <labl>Supermarket/tuck shop</labl>
  </catgry>
  <catgry>
    <catValu>5113</catValu>
    <labl>Service station</labl>
  </catgry>
  <catgry>
    <catValu>5120</catValu>
    <labl>Market</labl>
  </catgry>
  <catgry>
    <catValu>5130</catValu>
    <labl>Kiosk</labl>
  </catgry>
  <catgry>
    <catValu>5140</catValu>
    <labl>Gas station</labl>
  </catgry>
  <catgry>
    <catValu>5190</catValu>
    <labl>Other retail</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Relative/friend</labl>
  </catgry>
  <catgry>
    <catValu>5210</catValu>
    <labl>Partner</labl>
  </catgry>
  <catgry>
    <catValu>5300</catValu>
    <labl>Church/mosque/temple</labl>
  </catgry>
  <catgry>
    <catValu>5400</catValu>
    <labl>Bar/nightclub/hotel</labl>
  </catgry>
  <catgry>
    <catValu>5410</catValu>
    <labl>Bar/nightclub</labl>
  </catgry>
  <catgry>
    <catValu>5420</catValu>
    <labl>Hotel</labl>
  </catgry>
  <catgry>
    <catValu>5500</catValu>
    <labl>Other institutions</labl>
  </catgry>
  <catgry>
    <catValu>5510</catValu>
    <labl>Youth center</labl>
  </catgry>
  <catgry>
    <catValu>5520</catValu>
    <labl>Workplace</labl>
  </catgry>
  <catgry>
    <catValu>5521</catValu>
    <labl>Respondent's workplace</labl>
  </catgry>
  <catgry>
    <catValu>5522</catValu>
    <labl>Partner's workplace</labl>
  </catgry>
  <catgry>
    <catValu>5530</catValu>
    <labl>School</labl>
  </catgry>
  <catgry>
    <catValu>5600</catValu>
    <labl>Traditional practitioner</labl>
  </catgry>
  <catgry>
    <catValu>5610</catValu>
    <labl>Traditional birth attendant (TBA)</labl>
  </catgry>
  <catgry>
    <catValu>5620</catValu>
    <labl>Vaidya/hakim/homeopath</labl>
  </catgry>
  <catgry>
    <catValu>5700</catValu>
    <labl>Informal channels</labl>
  </catgry>
  <catgry>
    <catValu>5710</catValu>
    <labl>Drug vendor</labl>
  </catgry>
  <catgry>
    <catValu>9992</catValu>
    <labl>Not asked</labl>
  </catgry>
  <catgry>
    <catValu>9993</catValu>
    <labl>Non-user: Knows source</labl>
  </catgry>
  <catgry>
    <catValu>9994</catValu>
    <labl>Multiple responses given</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOANYSRC (V379) reports the source where the respondent knows contraceptives can be obtained. This variable is constructed from a series of questions. 

Because the questions used to construct this variable changed slightly across phases, IPUMS-DHS users are encouraged to review the Comparability tab.

The related variable FPKNOANYSRCS (V380) reports known sources for contraceptives, in standardized categories.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPKNOANYSRCS" name="W_FPKNOANYSRCS" files="W" intrvl="discrete">
  <labl>Known source for FP, standardized</labl>
  <imputation>Known source for FP, standardized</imputation>
  <security>Known source for FP, standardized</security>
  <embargo>Known source for FP, standardized</embargo>
  <respUnit>Known source for FP, standardized</respUnit>
  <qstn>
    <qstnLit>332) Do you know of a place where you can obtain a method of family planning?

YES 1
NO 2 (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Government clinic/pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Government home/community delivery</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>NGO</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Private clinic/delivery</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Private pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Church, shop, friends</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOANYSRCS (V380) reports the source from which the woman knows contraceptives can be obtained. This variable is constructed from a series of questions, and answers were recorded using standard responses and codes that are consistent across countries and phases. 

Because the questions used to construct this variable changed slightly across phases, IPUMS-DHS users are encouraged to review the Comparability tab.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPTYPNOW" name="W_FPTYPNOW" files="W" intrvl="discrete">
  <labl>Current FP use by method type (folk, traditional, modern)</labl>
  <imputation>Current FP use by method type (folk, traditional, modern)</imputation>
  <security>Current FP use by method type (folk, traditional, modern)</security>
  <embargo>Current FP use by method type (folk, traditional, modern)</embargo>
  <respUnit>Current FP use by method type (folk, traditional, modern)</respUnit>
  <qstn>
    <qstnLit>312) What method are you using?

312A) CIRCLE '06' FOR FEMALE STERILIZATION

PILL 01
IUD 02 (GO TO 318)
INJECTIONS 03 (GO TO 318)
DIAPHRAGM/FOAM/GEL 04 (GO TO 318)
CONDOM 05 (GO TO 318)
FEMALE STERILIZATION 06 (GO TO 318)
MALE STERILIZATION 07(GO TO 318)
PERIODIC ABSTINENCE 08 (GO TO 323)
WITHDRAWAL 09 (GO TO 323)
GRIS-GRIS 10 (GO TO 323)
OTHER (SPECIFY): ___ 11 (GO TO 323)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No method</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Folkloric or traditional method</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPNOW (V313) indicates whether the woman is currently using a modern, traditional, or folkloric method of contraception.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

In the DHS, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPUSPATRN" name="W_FPUSPATRN" files="W" intrvl="discrete">
  <labl>Pattern of use of contraceptive method</labl>
  <imputation>Pattern of use of contraceptive method</imputation>
  <security>Pattern of use of contraceptive method</security>
  <embargo>Pattern of use of contraceptive method</embargo>
  <respUnit>Pattern of use of contraceptive method</respUnit>
  <qstn>
    <qstnLit>311) Are you currently doing something or using a method to avoid pregnancy?

YES 1
NO 2 (GO TO 326)</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Currently using</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Ever used, but not currently using</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Used since last birth</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Used before last birth</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Never used</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPUSPATRN (V361) reports the woman's pattern of contraceptive use by indicating whether she is currently using, has used in the past, or has never used contraception.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPMETHNOW" name="W_FPMETHNOW" files="W" intrvl="discrete">
  <labl>Current method of FP</labl>
  <imputation>Current method of FP</imputation>
  <security>Current method of FP</security>
  <embargo>Current method of FP</embargo>
  <respUnit>Current method of FP</respUnit>
  <qstn>
    <qstnLit>312) What method are you using?

312A) CIRCLE '06' FOR FEMALE STERILIZATION

PILL 01
IUD 02 (GO TO 318)
INJECTIONS 03 (GO TO 318)
DIAPHRAGM/FOAM/GEL 04 (GO TO 318)
CONDOM 05 (GO TO 318)
FEMALE STERILIZATION 06 (GO TO 318)
MALE STERILIZATION 07(GO TO 318)
PERIODIC ABSTINENCE 08 (GO TO 323)
WITHDRAWAL 09 (GO TO 323)
GRIS-GRIS 10 (GO TO 323)
OTHER (SPECIFY): ___ 11 (GO TO 323)</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
    <labl>Not using</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>MODERN METHODS</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>Pill</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>IUD</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>Norplant/Implants</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>Condom</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>Female Condom</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>Female Sterilization</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>Male Sterilization</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>Injections</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>Injection (3 monthly)</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>Injection (monthly)</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Diaphragm/Foam/Jelly</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>Diaphragm</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>Diaphragm/Foam</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>Diaphragm/Jelly</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>Foam or Jelly</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>Foaming tablets</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>Vaginal methods</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>Lactational amenorrhea (LAM)</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>Prolonged breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>Emergency contraception</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>Other modern method</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>Contraceptive patch</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>TRADITIONAL METHODS</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Abstinence or periodic abstinence</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>Periodic abstinence</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>Cycle Beads/Standard days method</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>Abstinence</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>Mucus method</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>Natural family planning, unspecified</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>Withdrawal</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>Other traditional/folkloric</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>Herbs/Plants</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>Gris-Gris/Amulet</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>Astrology</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>Strings</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>OTHER METHOD, UNSPECIFIED</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>Other specific method 1</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>Other specific method 2</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>Other specific method 3</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>Other specific method 4</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPMETHNOW (V312) reports the contraceptive method the woman is currently using.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

Answers are grouped under the broad categories of "modern methods," "traditional methods," and "other methods," each with a different first digit. Specific methods are distinguished by the second and third digits. See FPEVUSE for more information on broad categories of contraception.

Closely related responses, such as various groupings of diaphragm/foam/jelly, share the first 2 digits in common, while the third digit distinguishes the exact response category.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPCURNOMO" name="W_FPCURNOMO" files="W" intrvl="discrete">
  <labl>Months of use of current family planning method</labl>
  <imputation>Months of use of current family planning method</imputation>
  <security>Months of use of current family planning method</security>
  <embargo>Months of use of current family planning method</embargo>
  <respUnit>Months of use of current family planning method</respUnit>
  <qstn>
    <qstnLit>323) For how many months have you been using (CURRENT METHOD) continuously?

IF LESS THAN A MONTH, RECORD '00'.

MONTHS: ___
8 YEARS OR MORE 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>001</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>002</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>003</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>004</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>005</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>006</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>007</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>008</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>009</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>010</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>011</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>012</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>013</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>014</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>015</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>016</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>017</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>018</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>019</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>020</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>021</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>022</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>023</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>024</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>025</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>026</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>027</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>028</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>029</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>030</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>031</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>032</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>033</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>034</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>035</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>036</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>037</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>038</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>039</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>040</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>041</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>042</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>043</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>044</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>045</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>046</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>047</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>048</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>049</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>050</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>051</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>052</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>053</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>054</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>055</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>056</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>057</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>058</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>059</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>060</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>061</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>062</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>063</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>064</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>065</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>066</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>067</catValu>
    <labl>67 months</labl>
  </catgry>
  <catgry>
    <catValu>068</catValu>
    <labl>68 months</labl>
  </catgry>
  <catgry>
    <catValu>069</catValu>
    <labl>69 months</labl>
  </catgry>
  <catgry>
    <catValu>070</catValu>
    <labl>70 months</labl>
  </catgry>
  <catgry>
    <catValu>071</catValu>
    <labl>71 months</labl>
  </catgry>
  <catgry>
    <catValu>072</catValu>
    <labl>72 months</labl>
  </catgry>
  <catgry>
    <catValu>073</catValu>
    <labl>73 months</labl>
  </catgry>
  <catgry>
    <catValu>074</catValu>
    <labl>74 months</labl>
  </catgry>
  <catgry>
    <catValu>075</catValu>
    <labl>75 months</labl>
  </catgry>
  <catgry>
    <catValu>076</catValu>
    <labl>76 months</labl>
  </catgry>
  <catgry>
    <catValu>077</catValu>
    <labl>77 months</labl>
  </catgry>
  <catgry>
    <catValu>078</catValu>
    <labl>78 months</labl>
  </catgry>
  <catgry>
    <catValu>079</catValu>
    <labl>79 months</labl>
  </catgry>
  <catgry>
    <catValu>080</catValu>
    <labl>80 months</labl>
  </catgry>
  <catgry>
    <catValu>081</catValu>
    <labl>81 months</labl>
  </catgry>
  <catgry>
    <catValu>082</catValu>
    <labl>82 months</labl>
  </catgry>
  <catgry>
    <catValu>083</catValu>
    <labl>83 months</labl>
  </catgry>
  <catgry>
    <catValu>084</catValu>
    <labl>84 months</labl>
  </catgry>
  <catgry>
    <catValu>085</catValu>
    <labl>85 months</labl>
  </catgry>
  <catgry>
    <catValu>086</catValu>
    <labl>86 months</labl>
  </catgry>
  <catgry>
    <catValu>087</catValu>
    <labl>87 months</labl>
  </catgry>
  <catgry>
    <catValu>088</catValu>
    <labl>88 months</labl>
  </catgry>
  <catgry>
    <catValu>089</catValu>
    <labl>89 months</labl>
  </catgry>
  <catgry>
    <catValu>090</catValu>
    <labl>90 months</labl>
  </catgry>
  <catgry>
    <catValu>091</catValu>
    <labl>91 months</labl>
  </catgry>
  <catgry>
    <catValu>092</catValu>
    <labl>92 months</labl>
  </catgry>
  <catgry>
    <catValu>093</catValu>
    <labl>93 months</labl>
  </catgry>
  <catgry>
    <catValu>094</catValu>
    <labl>94 months</labl>
  </catgry>
  <catgry>
    <catValu>095</catValu>
    <labl>95 months</labl>
  </catgry>
  <catgry>
    <catValu>096</catValu>
    <labl>96 or more months</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>All calendar years</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent response</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are currently using a contraceptive method, FPCURNOMO (V337) reports the number of months they have been continuously using their current method.

Starting in Phase II, there are differences in the way these data are reported between Model "A" and Model "B" countries, due to the inclusion of a detailed calendar of events in the five years preceding the interview in Model "A" questionnaires. For Model "B" questionnaires, any response greater than 8 years is topcoded at "96." However, for Model "A" questionnaires, the maximum duration of use that could be recorded is the entire length of the calendar (i.e., 5 years).</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPLASTSRCD" name="W_FPLASTSRCD" files="W" intrvl="discrete">
  <labl>Last source for FP for current users, detailed</labl>
  <imputation>Last source for FP for current users, detailed</imputation>
  <security>Last source for FP for current users, detailed</security>
  <embargo>Last source for FP for current users, detailed</embargo>
  <respUnit>Last source for FP for current users, detailed</respUnit>
  <qstn>
    <qstnLit>318) CHECK 312:

HE/SHE IS STERILIZED: Where did the sterilization take place?

USES ANOTHER METHOD: Where did you obtain (METHOD) the last time?

NAME OF PLACE: ___

PUBLIC SECTOR

HOSPITAL 11
MEDICAL CENTER 12
FAMILY HEALTH CENTER 13
MOTHER AND CHILD CARE CENTER 14
DISPENSARY 15
MATERNITY WARD 16
PEOPLE'S PHARMACY 17

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE 21
CLINIC/HOSPITAL 22
PHARMACY 23

OTHER PRIVATE SECTOR

RELATIVE 31 (GO TO 321)
NEIGHBOR 32 (GO TO 321)

OTHER (SPECIFY): ___ 41(GO TO 321)
DON'T KNOW 98 (GO TO 321)</qstnLit>
  </qstn>
  <catgry>
    <catValu>6903</catValu>
    <labl>Community center</labl>
  </catgry>
  <catgry>
    <catValu>3306</catValu>
    <labl>Institute for Family Health (IFH)</labl>
  </catgry>
  <catgry>
    <catValu>3180</catValu>
    <labl>International Rescue Committee (IRC)</labl>
  </catgry>
  <catgry>
    <catValu>0000</catValu>
    <labl>NO ONE</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>PUBLIC SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Government hospital</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>National hospital</labl>
  </catgry>
  <catgry>
    <catValu>1111</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>1112</catValu>
    <labl>National/central hospital</labl>
  </catgry>
  <catgry>
    <catValu>1113</catValu>
    <labl>Military hospital</labl>
  </catgry>
  <catgry>
    <catValu>1114</catValu>
    <labl>Day hospital</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>Provincial/regional hospital</labl>
  </catgry>
  <catgry>
    <catValu>1130</catValu>
    <labl>Urban hospital</labl>
  </catgry>
  <catgry>
    <catValu>1140</catValu>
    <labl>District/rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>1141</catValu>
    <labl>District hospital</labl>
  </catgry>
  <catgry>
    <catValu>1142</catValu>
    <labl>Rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>1150</catValu>
    <labl>Category I hospital</labl>
  </catgry>
  <catgry>
    <catValu>1160</catValu>
    <labl>Category II hospital</labl>
  </catgry>
  <catgry>
    <catValu>1170</catValu>
    <labl>University/teaching hospital</labl>
  </catgry>
  <catgry>
    <catValu>1171</catValu>
    <labl>University hospital</labl>
  </catgry>
  <catgry>
    <catValu>1172</catValu>
    <labl>Teaching hospital</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Government health center</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Referral health center</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Community health center</labl>
  </catgry>
  <catgry>
    <catValu>1230</catValu>
    <labl>Urban health center</labl>
  </catgry>
  <catgry>
    <catValu>1240</catValu>
    <labl>Rural health center</labl>
  </catgry>
  <catgry>
    <catValu>1250</catValu>
    <labl>Basic health center</labl>
  </catgry>
  <catgry>
    <catValu>1260</catValu>
    <labl>Integrated health center</labl>
  </catgry>
  <catgry>
    <catValu>1270</catValu>
    <labl>Primary health center</labl>
  </catgry>
  <catgry>
    <catValu>1280</catValu>
    <labl>Family welfare center</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>Government family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>1310</catValu>
    <labl>Stand-alone family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>1320</catValu>
    <labl>Mobile family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>1330</catValu>
    <labl>Family planning clinic CBD</labl>
  </catgry>
  <catgry>
    <catValu>1400</catValu>
    <labl>Government outreach</labl>
  </catgry>
  <catgry>
    <catValu>1410</catValu>
    <labl>Government health post</labl>
  </catgry>
  <catgry>
    <catValu>1411</catValu>
    <labl>Village health post</labl>
  </catgry>
  <catgry>
    <catValu>1412</catValu>
    <labl>Sub-center</labl>
  </catgry>
  <catgry>
    <catValu>1413</catValu>
    <labl>Sub-health post</labl>
  </catgry>
  <catgry>
    <catValu>1420</catValu>
    <labl>Government mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>1421</catValu>
    <labl>Mobile PHC clinic</labl>
  </catgry>
  <catgry>
    <catValu>1430</catValu>
    <labl>Government health professional</labl>
  </catgry>
  <catgry>
    <catValu>1431</catValu>
    <labl>Doctor</labl>
  </catgry>
  <catgry>
    <catValu>1432</catValu>
    <labl>Nurse</labl>
  </catgry>
  <catgry>
    <catValu>1433</catValu>
    <labl>Paramedic</labl>
  </catgry>
  <catgry>
    <catValu>1440</catValu>
    <labl>Government health worker</labl>
  </catgry>
  <catgry>
    <catValu>1434</catValu>
    <labl>Community-based distributor (CBD)</labl>
  </catgry>
  <catgry>
    <catValu>1435</catValu>
    <labl>Health surveillance assistant (HSA)</labl>
  </catgry>
  <catgry>
    <catValu>1436</catValu>
    <labl>Male mobilizer</labl>
  </catgry>
  <catgry>
    <catValu>1437</catValu>
    <labl>Accredited social health activist (ASHA)</labl>
  </catgry>
  <catgry>
    <catValu>1438</catValu>
    <labl>Vaidya/hakim/homeopath</labl>
  </catgry>
  <catgry>
    <catValu>1450</catValu>
    <labl>Government outreach clinic</labl>
  </catgry>
  <catgry>
    <catValu>1451</catValu>
    <labl>Primary health care outreach clinic</labl>
  </catgry>
  <catgry>
    <catValu>1452</catValu>
    <labl>Satellite clinic/EPI outreach</labl>
  </catgry>
  <catgry>
    <catValu>1453</catValu>
    <labl>Community clinic</labl>
  </catgry>
  <catgry>
    <catValu>1454</catValu>
    <labl>Rural/municipal clinic</labl>
  </catgry>
  <catgry>
    <catValu>1460</catValu>
    <labl>Camp</labl>
  </catgry>
  <catgry>
    <catValu>1470</catValu>
    <labl>Household visit</labl>
  </catgry>
  <catgry>
    <catValu>1500</catValu>
    <labl>Government maternity home</labl>
  </catgry>
  <catgry>
    <catValu>1510</catValu>
    <labl>Maternal and child health (MCH) center</labl>
  </catgry>
  <catgry>
    <catValu>1520</catValu>
    <labl>Rural maternity</labl>
  </catgry>
  <catgry>
    <catValu>1530</catValu>
    <labl>Anganwadi/ICDS center</labl>
  </catgry>
  <catgry>
    <catValu>1600</catValu>
    <labl>Government pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>1610</catValu>
    <labl>Government pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>1611</catValu>
    <labl>Community pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>1620</catValu>
    <labl>Government dispensary</labl>
  </catgry>
  <catgry>
    <catValu>1900</catValu>
    <labl>Other public</labl>
  </catgry>
  <catgry>
    <catValu>1901</catValu>
    <labl>Clinic</labl>
  </catgry>
  <catgry>
    <catValu>1902</catValu>
    <labl>Curative care organization</labl>
  </catgry>
  <catgry>
    <catValu>1903</catValu>
    <labl>Health home</labl>
  </catgry>
  <catgry>
    <catValu>1904</catValu>
    <labl>Health office</labl>
  </catgry>
  <catgry>
    <catValu>1905</catValu>
    <labl>Health insurance organization</labl>
  </catgry>
  <catgry>
    <catValu>1906</catValu>
    <labl>Parastatal health facility</labl>
  </catgry>
  <catgry>
    <catValu>1907</catValu>
    <labl>Youth center</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>PRIVATE MEDICAL SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Private hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Private hospital</labl>
  </catgry>
  <catgry>
    <catValu>2111</catValu>
    <labl>Private specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>2112</catValu>
    <labl>Private district hospital</labl>
  </catgry>
  <catgry>
    <catValu>2113</catValu>
    <labl>Private university hospital</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>Private clinic</labl>
  </catgry>
  <catgry>
    <catValu>2121</catValu>
    <labl>Private polyclinic</labl>
  </catgry>
  <catgry>
    <catValu>2122</catValu>
    <labl>Private clinic</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Private pharmacy/dispensary/drug store</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Private pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>2220</catValu>
    <labl>Private dispensary</labl>
  </catgry>
  <catgry>
    <catValu>2230</catValu>
    <labl>Private chemist/drug store</labl>
  </catgry>
  <catgry>
    <catValu>2231</catValu>
    <labl>Private chemist</labl>
  </catgry>
  <catgry>
    <catValu>2232</catValu>
    <labl>Private drug store</labl>
  </catgry>
  <catgry>
    <catValu>2240</catValu>
    <labl>Private mobile drug vendor</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Private doctor's office</labl>
  </catgry>
  <catgry>
    <catValu>2310</catValu>
    <labl>Qualified doctor</labl>
  </catgry>
  <catgry>
    <catValu>2320</catValu>
    <labl>Traditional/unqualified doctor</labl>
  </catgry>
  <catgry>
    <catValu>2330</catValu>
    <labl>Private practice</labl>
  </catgry>
  <catgry>
    <catValu>2331</catValu>
    <labl>Private care room</labl>
  </catgry>
  <catgry>
    <catValu>2332</catValu>
    <labl>Private infirmiry</labl>
  </catgry>
  <catgry>
    <catValu>2400</catValu>
    <labl>Private outreach</labl>
  </catgry>
  <catgry>
    <catValu>2410</catValu>
    <labl>Private mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>2420</catValu>
    <labl>Private health worker</labl>
  </catgry>
  <catgry>
    <catValu>2421</catValu>
    <labl>Private field worker</labl>
  </catgry>
  <catgry>
    <catValu>2422</catValu>
    <labl>Private community/village health worker</labl>
  </catgry>
  <catgry>
    <catValu>2423</catValu>
    <labl>Private community-based distributor</labl>
  </catgry>
  <catgry>
    <catValu>2424</catValu>
    <labl>Private paramedic</labl>
  </catgry>
  <catgry>
    <catValu>2425</catValu>
    <labl>Private hakim/homeopath</labl>
  </catgry>
  <catgry>
    <catValu>2426</catValu>
    <labl>Private traditional healer</labl>
  </catgry>
  <catgry>
    <catValu>2427</catValu>
    <labl>Private traditional birth attendant (TBA)</labl>
  </catgry>
  <catgry>
    <catValu>2428</catValu>
    <labl>Private nurse</labl>
  </catgry>
  <catgry>
    <catValu>2500</catValu>
    <labl>Private health center</labl>
  </catgry>
  <catgry>
    <catValu>2600</catValu>
    <labl>Private family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>2610</catValu>
    <labl>Injectables outlet</labl>
  </catgry>
  <catgry>
    <catValu>2700</catValu>
    <labl>Private maternity home</labl>
  </catgry>
  <catgry>
    <catValu>2900</catValu>
    <labl>Other private medical</labl>
  </catgry>
  <catgry>
    <catValu>2901</catValu>
    <labl>Tent</labl>
  </catgry>
  <catgry>
    <catValu>2902</catValu>
    <labl>VCT center</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>NGO SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>NGO health facility</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Static clinic</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Satellite clinic</labl>
  </catgry>
  <catgry>
    <catValu>3130</catValu>
    <labl>Marie Stopes facility</labl>
  </catgry>
  <catgry>
    <catValu>3131</catValu>
    <labl>Banja la Mtsogolo (BLM)</labl>
  </catgry>
  <catgry>
    <catValu>3140</catValu>
    <labl>Red Cross facility</labl>
  </catgry>
  <catgry>
    <catValu>3150</catValu>
    <labl>UN Relief and Works Agency facility</labl>
  </catgry>
  <catgry>
    <catValu>3160</catValu>
    <labl>Adventist Development and Relief Agency (ADRA)</labl>
  </catgry>
  <catgry>
    <catValu>3170</catValu>
    <labl>Population Services International (PSI)</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>NGO health worker</labl>
  </catgry>
  <catgry>
    <catValu>3210</catValu>
    <labl>Depot holder</labl>
  </catgry>
  <catgry>
    <catValu>3220</catValu>
    <labl>Field worker</labl>
  </catgry>
  <catgry>
    <catValu>3230</catValu>
    <labl>Community-based distributor</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Country-specific NGO</labl>
  </catgry>
  <catgry>
    <catValu>3301</catValu>
    <labl>Amo-Congo</labl>
  </catgry>
  <catgry>
    <catValu>3302</catValu>
    <labl>Clinical Services Improvement (CSI)</labl>
  </catgry>
  <catgry>
    <catValu>3303</catValu>
    <labl>Malawi AIDS Counselling and Resource Organization (MACRO)</labl>
  </catgry>
  <catgry>
    <catValu>3304</catValu>
    <labl>Myanmar Medical Association (MMA)</labl>
  </catgry>
  <catgry>
    <catValu>3305</catValu>
    <labl>United Mission to Nepal (UMN)</labl>
  </catgry>
  <catgry>
    <catValu>3900</catValu>
    <labl>Other NGO</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>RELIGIOUS/MISSION</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>Religious hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>4110</catValu>
    <labl>Religious hospital</labl>
  </catgry>
  <catgry>
    <catValu>4111</catValu>
    <labl>Religious referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>4112</catValu>
    <labl>Religious district hospital</labl>
  </catgry>
  <catgry>
    <catValu>4120</catValu>
    <labl>Religious clinic</labl>
  </catgry>
  <catgry>
    <catValu>4200</catValu>
    <labl>Religious health center/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>4210</catValu>
    <labl>Religious health center</labl>
  </catgry>
  <catgry>
    <catValu>4211</catValu>
    <labl>Mosque health center</labl>
  </catgry>
  <catgry>
    <catValu>4212</catValu>
    <labl>Church health center</labl>
  </catgry>
  <catgry>
    <catValu>4220</catValu>
    <labl>Religious dispensary</labl>
  </catgry>
  <catgry>
    <catValu>4300</catValu>
    <labl>Religious outreach</labl>
  </catgry>
  <catgry>
    <catValu>4310</catValu>
    <labl>Religious health post</labl>
  </catgry>
  <catgry>
    <catValu>4320</catValu>
    <labl>Religious mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>4330</catValu>
    <labl>Religious health worker</labl>
  </catgry>
  <catgry>
    <catValu>4331</catValu>
    <labl>Religious field worker</labl>
  </catgry>
  <catgry>
    <catValu>4900</catValu>
    <labl>Other religious</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>UNSPECIFIED MEDICAL SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>5110</catValu>
    <labl>Pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>5120</catValu>
    <labl>Dispensary</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Outreach</labl>
  </catgry>
  <catgry>
    <catValu>5210</catValu>
    <labl>Mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>5220</catValu>
    <labl>Health worker</labl>
  </catgry>
  <catgry>
    <catValu>5221</catValu>
    <labl>Field worker</labl>
  </catgry>
  <catgry>
    <catValu>5222</catValu>
    <labl>Traditional healer</labl>
  </catgry>
  <catgry>
    <catValu>5223</catValu>
    <labl>Health educator</labl>
  </catgry>
  <catgry>
    <catValu>5224</catValu>
    <labl>Peer educators</labl>
  </catgry>
  <catgry>
    <catValu>5230</catValu>
    <labl>Outreach clinic</labl>
  </catgry>
  <catgry>
    <catValu>5900</catValu>
    <labl>Other unspecified medical sector</labl>
  </catgry>
  <catgry>
    <catValu>5901</catValu>
    <labl>Media campaign</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>6100</catValu>
    <labl>Shop/market</labl>
  </catgry>
  <catgry>
    <catValu>6110</catValu>
    <labl>Shop</labl>
  </catgry>
  <catgry>
    <catValu>6111</catValu>
    <labl>General dealer</labl>
  </catgry>
  <catgry>
    <catValu>6112</catValu>
    <labl>Supermarket/tuck shop</labl>
  </catgry>
  <catgry>
    <catValu>6113</catValu>
    <labl>Supermarket</labl>
  </catgry>
  <catgry>
    <catValu>6114</catValu>
    <labl>Tuck shop</labl>
  </catgry>
  <catgry>
    <catValu>6120</catValu>
    <labl>Market</labl>
  </catgry>
  <catgry>
    <catValu>6130</catValu>
    <labl>Kiosk</labl>
  </catgry>
  <catgry>
    <catValu>6140</catValu>
    <labl>Gas station</labl>
  </catgry>
  <catgry>
    <catValu>6150</catValu>
    <labl>Other retail</labl>
  </catgry>
  <catgry>
    <catValu>6200</catValu>
    <labl>Church/mosque</labl>
  </catgry>
  <catgry>
    <catValu>6300</catValu>
    <labl>Friend/relative</labl>
  </catgry>
  <catgry>
    <catValu>6310</catValu>
    <labl>Friend</labl>
  </catgry>
  <catgry>
    <catValu>6320</catValu>
    <labl>Relative</labl>
  </catgry>
  <catgry>
    <catValu>6321</catValu>
    <labl>Partner</labl>
  </catgry>
  <catgry>
    <catValu>6400</catValu>
    <labl>Bar/nightclub/hotel</labl>
  </catgry>
  <catgry>
    <catValu>6410</catValu>
    <labl>Bar/nightclub</labl>
  </catgry>
  <catgry>
    <catValu>6411</catValu>
    <labl>Bar</labl>
  </catgry>
  <catgry>
    <catValu>6420</catValu>
    <labl>Hotel</labl>
  </catgry>
  <catgry>
    <catValu>6500</catValu>
    <labl>Workplace</labl>
  </catgry>
  <catgry>
    <catValu>6510</catValu>
    <labl>Respondent's workplace</labl>
  </catgry>
  <catgry>
    <catValu>6520</catValu>
    <labl>Partner's workplace</labl>
  </catgry>
  <catgry>
    <catValu>6600</catValu>
    <labl>Informal channels</labl>
  </catgry>
  <catgry>
    <catValu>6610</catValu>
    <labl>Drug vendor</labl>
  </catgry>
  <catgry>
    <catValu>6620</catValu>
    <labl>Support group</labl>
  </catgry>
  <catgry>
    <catValu>6630</catValu>
    <labl>Women's sittings</labl>
  </catgry>
  <catgry>
    <catValu>6700</catValu>
    <labl>Location for adolescents</labl>
  </catgry>
  <catgry>
    <catValu>6710</catValu>
    <labl>Youth center</labl>
  </catgry>
  <catgry>
    <catValu>6720</catValu>
    <labl>School</labl>
  </catgry>
  <catgry>
    <catValu>6900</catValu>
    <labl>Other facility</labl>
  </catgry>
  <catgry>
    <catValu>6901</catValu>
    <labl>Refugee camp</labl>
  </catgry>
  <catgry>
    <catValu>6902</catValu>
    <labl>Charity/foundation</labl>
  </catgry>
  <catgry>
    <catValu>9994</catValu>
    <labl>Abroad</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are currently using a modern method of contraception, FPLASTSRCD (V326) reports the type of facility that was the source of the last contraceptive method used by the woman. Response categories vary across samples. See Comparability.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPLASTSRCS" name="W_FPLASTSRCS" files="W" intrvl="discrete">
  <labl>Last source for FP for current users, standardized</labl>
  <imputation>Last source for FP for current users, standardized</imputation>
  <security>Last source for FP for current users, standardized</security>
  <embargo>Last source for FP for current users, standardized</embargo>
  <respUnit>Last source for FP for current users, standardized</respUnit>
  <qstn>
    <qstnLit>318) CHECK 312:

HE/SHE IS STERILIZED: Where did the sterilization take place?

USES ANOTHER METHOD: Where did you obtain (METHOD) the last time?

NAME OF PLACE: ___

PUBLIC SECTOR

HOSPITAL 11
MEDICAL CENTER 12
FAMILY HEALTH CENTER 13
MOTHER AND CHILD CARE CENTER 14
DISPENSARY 15
MATERNITY WARD 16
PEOPLE'S PHARMACY 17

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE 21
CLINIC/HOSPITAL 22
PHARMACY 23

OTHER PRIVATE SECTOR

RELATIVE 31 (GO TO 321)
NEIGHBOR 32 (GO TO 321)

OTHER (SPECIFY): ___ 41(GO TO 321)
DON'T KNOW 98 (GO TO 321)</qstnLit>
  </qstn>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Church, Shop, friends, books</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Private Pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Private Clin/Deliv</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>NGO</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Govt Home/Comm delivery</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Govt Clinic/Pharm</labl>
  </catgry>
  <txt>For women using a modern method of contraception, FPLASTSRCS (V327) reports the type of facility that was the source of the last contraceptive method used by the woman. This variable was constructed by recoding country-specific responses into a few standard categories that are consistent across samples.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPSRCEASE" name="W_FPSRCEASE" files="W" intrvl="discrete">
  <labl>Easy or difficult to get to FP source</labl>
  <imputation>Easy or difficult to get to FP source</imputation>
  <security>Easy or difficult to get to FP source</security>
  <embargo>Easy or difficult to get to FP source</embargo>
  <respUnit>Easy or difficult to get to FP source</respUnit>
  <qstn>
    <qstnLit>335) Is it easy or difficult to get there?

EASY 1
DIFFICULT 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Easy</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Difficult</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (Not in universe)</labl>
  </catgry>
  <txt>For women who know of a source where family planning can be obtained, FPSRCEASE (V383) indicates whether it is easy or difficult to get there.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPSRCTIME" name="W_FPSRCTIME" files="W" intrvl="discrete">
  <labl>Time to get to FP source</labl>
  <imputation>Time to get to FP source</imputation>
  <security>Time to get to FP source</security>
  <embargo>Time to get to FP source</embargo>
  <respUnit>Time to get to FP source</respUnit>
  <qstn>
    <qstnLit>334) How long does it take to travel to your home to this place?
IF LESS THAN 2 HOURS, RECORD MINUTES. OTHERWISE, RECORD HOURS.

MINUTES: ___ 1
HOURS: ___ 2
DON'T KNOW 9998</qstnLit>
  </qstn>
  <catgry>
    <catValu>1000</catValu>
    <labl>Less than 1 minute</labl>
  </catgry>
  <catgry>
    <catValu>1001</catValu>
    <labl>1 minute</labl>
  </catgry>
  <catgry>
    <catValu>1002</catValu>
    <labl>2 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1003</catValu>
    <labl>3 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1004</catValu>
    <labl>4 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1005</catValu>
    <labl>5 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1006</catValu>
    <labl>6 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1007</catValu>
    <labl>7 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1008</catValu>
    <labl>8 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1009</catValu>
    <labl>9 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1010</catValu>
    <labl>10 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1011</catValu>
    <labl>11 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1012</catValu>
    <labl>12 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1013</catValu>
    <labl>13 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1014</catValu>
    <labl>14 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1015</catValu>
    <labl>15 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1016</catValu>
    <labl>16 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1017</catValu>
    <labl>17 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1018</catValu>
    <labl>18 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1019</catValu>
    <labl>19 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1020</catValu>
    <labl>20 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1021</catValu>
    <labl>21 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1022</catValu>
    <labl>22 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1023</catValu>
    <labl>23 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1024</catValu>
    <labl>24 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1025</catValu>
    <labl>25 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1026</catValu>
    <labl>26 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1027</catValu>
    <labl>27 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1028</catValu>
    <labl>28 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1029</catValu>
    <labl>29 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1030</catValu>
    <labl>30 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1031</catValu>
    <labl>31 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1032</catValu>
    <labl>32 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1033</catValu>
    <labl>33 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1034</catValu>
    <labl>34 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1035</catValu>
    <labl>35 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1036</catValu>
    <labl>36 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1037</catValu>
    <labl>37 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1038</catValu>
    <labl>38 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1039</catValu>
    <labl>39 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1040</catValu>
    <labl>40 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1041</catValu>
    <labl>41 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1042</catValu>
    <labl>42 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1043</catValu>
    <labl>43 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1044</catValu>
    <labl>44 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1045</catValu>
    <labl>45 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1046</catValu>
    <labl>46 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1047</catValu>
    <labl>47 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1048</catValu>
    <labl>48 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1049</catValu>
    <labl>49 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1050</catValu>
    <labl>50 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1051</catValu>
    <labl>51 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1052</catValu>
    <labl>52 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1053</catValu>
    <labl>53 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1054</catValu>
    <labl>54 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1055</catValu>
    <labl>55 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1056</catValu>
    <labl>56 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1057</catValu>
    <labl>57 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1058</catValu>
    <labl>58 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1059</catValu>
    <labl>59 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1060</catValu>
    <labl>60 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1061</catValu>
    <labl>61 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1062</catValu>
    <labl>62 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1063</catValu>
    <labl>63 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1064</catValu>
    <labl>64 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1065</catValu>
    <labl>65 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1066</catValu>
    <labl>66 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1067</catValu>
    <labl>67 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1068</catValu>
    <labl>68 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1069</catValu>
    <labl>69 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1070</catValu>
    <labl>70 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1071</catValu>
    <labl>71 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1072</catValu>
    <labl>72 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1073</catValu>
    <labl>73 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1074</catValu>
    <labl>74 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1075</catValu>
    <labl>75 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1076</catValu>
    <labl>76 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1077</catValu>
    <labl>77 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1078</catValu>
    <labl>78 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1079</catValu>
    <labl>79 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1080</catValu>
    <labl>80 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1081</catValu>
    <labl>81 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1082</catValu>
    <labl>82 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1083</catValu>
    <labl>83 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1084</catValu>
    <labl>84 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1085</catValu>
    <labl>85 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1086</catValu>
    <labl>86 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1087</catValu>
    <labl>87 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1088</catValu>
    <labl>88 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1089</catValu>
    <labl>89 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1090</catValu>
    <labl>90 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1091</catValu>
    <labl>91 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1092</catValu>
    <labl>92 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1093</catValu>
    <labl>93 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1094</catValu>
    <labl>94 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1095</catValu>
    <labl>95 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1096</catValu>
    <labl>96 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1097</catValu>
    <labl>97 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1098</catValu>
    <labl>98 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1099</catValu>
    <labl>99 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>100 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1101</catValu>
    <labl>101 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1102</catValu>
    <labl>102 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1103</catValu>
    <labl>103 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1104</catValu>
    <labl>104 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1105</catValu>
    <labl>105 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1106</catValu>
    <labl>106 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1107</catValu>
    <labl>107 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1108</catValu>
    <labl>108 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1109</catValu>
    <labl>109 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>110 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1111</catValu>
    <labl>111 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1112</catValu>
    <labl>112 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1113</catValu>
    <labl>113 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1114</catValu>
    <labl>114 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1115</catValu>
    <labl>115 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1116</catValu>
    <labl>116 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1117</catValu>
    <labl>117 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1118</catValu>
    <labl>118 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1119</catValu>
    <labl>119 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>120 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1121</catValu>
    <labl>121 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1122</catValu>
    <labl>122 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1123</catValu>
    <labl>123 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1124</catValu>
    <labl>124 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1125</catValu>
    <labl>125 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1126</catValu>
    <labl>126 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1127</catValu>
    <labl>127 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1128</catValu>
    <labl>128 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1129</catValu>
    <labl>129 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1130</catValu>
    <labl>130 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1131</catValu>
    <labl>131 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1132</catValu>
    <labl>132 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1133</catValu>
    <labl>133 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1134</catValu>
    <labl>134 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1135</catValu>
    <labl>135 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1136</catValu>
    <labl>136 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1137</catValu>
    <labl>137 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1138</catValu>
    <labl>138 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1139</catValu>
    <labl>139 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1140</catValu>
    <labl>140 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1141</catValu>
    <labl>141 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1142</catValu>
    <labl>142 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1143</catValu>
    <labl>143 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1144</catValu>
    <labl>144 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1145</catValu>
    <labl>145 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1146</catValu>
    <labl>146 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1147</catValu>
    <labl>147 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1148</catValu>
    <labl>148 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1149</catValu>
    <labl>149 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1150</catValu>
    <labl>150 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1151</catValu>
    <labl>151 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1152</catValu>
    <labl>152 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1153</catValu>
    <labl>153 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1154</catValu>
    <labl>154 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1155</catValu>
    <labl>155 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1156</catValu>
    <labl>156 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1157</catValu>
    <labl>157 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1158</catValu>
    <labl>158 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1159</catValu>
    <labl>159 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1160</catValu>
    <labl>160 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1161</catValu>
    <labl>161 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1162</catValu>
    <labl>162 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1163</catValu>
    <labl>163 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1164</catValu>
    <labl>164 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1165</catValu>
    <labl>165 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1166</catValu>
    <labl>166 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1167</catValu>
    <labl>167 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1168</catValu>
    <labl>168 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1169</catValu>
    <labl>169 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1170</catValu>
    <labl>170 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1171</catValu>
    <labl>171 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1172</catValu>
    <labl>172 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1173</catValu>
    <labl>173 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1174</catValu>
    <labl>174 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1175</catValu>
    <labl>175 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1176</catValu>
    <labl>176 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1177</catValu>
    <labl>177 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1178</catValu>
    <labl>178 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1179</catValu>
    <labl>179 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1180</catValu>
    <labl>180 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1181</catValu>
    <labl>181 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1182</catValu>
    <labl>182 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1183</catValu>
    <labl>183 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1184</catValu>
    <labl>184 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1185</catValu>
    <labl>185 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1186</catValu>
    <labl>186 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1187</catValu>
    <labl>187 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1188</catValu>
    <labl>188 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1189</catValu>
    <labl>189 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1190</catValu>
    <labl>190 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1191</catValu>
    <labl>191 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1192</catValu>
    <labl>192 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1193</catValu>
    <labl>193 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1194</catValu>
    <labl>194 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1195</catValu>
    <labl>195 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1196</catValu>
    <labl>196 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1197</catValu>
    <labl>197 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1198</catValu>
    <labl>198 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1199</catValu>
    <labl>199 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>200 or more minutes</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>Minutes, number missing</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>Less than 1 hour</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>1 hour</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2 hours</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>3 hours</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>4 hours</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>5 hours</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>6 hours</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>7 hours</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>8 hours</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>9 hours</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>10 hours</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>11 hours</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>12 hours</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>13 hours</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>14 hours</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>15 hours</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>16 hours</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>17 hours</labl>
  </catgry>
  <catgry>
    <catValu>2018</catValu>
    <labl>18 hours</labl>
  </catgry>
  <catgry>
    <catValu>2019</catValu>
    <labl>19 hours</labl>
  </catgry>
  <catgry>
    <catValu>2020</catValu>
    <labl>20 hours</labl>
  </catgry>
  <catgry>
    <catValu>2021</catValu>
    <labl>21 hours</labl>
  </catgry>
  <catgry>
    <catValu>2022</catValu>
    <labl>22 hours</labl>
  </catgry>
  <catgry>
    <catValu>2023</catValu>
    <labl>23 hours</labl>
  </catgry>
  <catgry>
    <catValu>2024</catValu>
    <labl>24 hours</labl>
  </catgry>
  <catgry>
    <catValu>2025</catValu>
    <labl>25 hours</labl>
  </catgry>
  <catgry>
    <catValu>2026</catValu>
    <labl>26 hours</labl>
  </catgry>
  <catgry>
    <catValu>2027</catValu>
    <labl>27 hours</labl>
  </catgry>
  <catgry>
    <catValu>2028</catValu>
    <labl>28 hours</labl>
  </catgry>
  <catgry>
    <catValu>2029</catValu>
    <labl>29 hours</labl>
  </catgry>
  <catgry>
    <catValu>2030</catValu>
    <labl>30 hours</labl>
  </catgry>
  <catgry>
    <catValu>2031</catValu>
    <labl>31 hours</labl>
  </catgry>
  <catgry>
    <catValu>2032</catValu>
    <labl>32 hours</labl>
  </catgry>
  <catgry>
    <catValu>2033</catValu>
    <labl>33 hours</labl>
  </catgry>
  <catgry>
    <catValu>2034</catValu>
    <labl>34 hours</labl>
  </catgry>
  <catgry>
    <catValu>2035</catValu>
    <labl>35 hours</labl>
  </catgry>
  <catgry>
    <catValu>2036</catValu>
    <labl>36 hours</labl>
  </catgry>
  <catgry>
    <catValu>2037</catValu>
    <labl>37 hours</labl>
  </catgry>
  <catgry>
    <catValu>2038</catValu>
    <labl>38 hours</labl>
  </catgry>
  <catgry>
    <catValu>2039</catValu>
    <labl>39 hours</labl>
  </catgry>
  <catgry>
    <catValu>2040</catValu>
    <labl>40 hours</labl>
  </catgry>
  <catgry>
    <catValu>2041</catValu>
    <labl>41 hours</labl>
  </catgry>
  <catgry>
    <catValu>2042</catValu>
    <labl>42 hours</labl>
  </catgry>
  <catgry>
    <catValu>2043</catValu>
    <labl>43 hours</labl>
  </catgry>
  <catgry>
    <catValu>2044</catValu>
    <labl>44 hours</labl>
  </catgry>
  <catgry>
    <catValu>2045</catValu>
    <labl>45 hours</labl>
  </catgry>
  <catgry>
    <catValu>2046</catValu>
    <labl>46 hours</labl>
  </catgry>
  <catgry>
    <catValu>2047</catValu>
    <labl>47 hours</labl>
  </catgry>
  <catgry>
    <catValu>2048</catValu>
    <labl>48 hours</labl>
  </catgry>
  <catgry>
    <catValu>2049</catValu>
    <labl>49 hours</labl>
  </catgry>
  <catgry>
    <catValu>2050</catValu>
    <labl>50 hours</labl>
  </catgry>
  <catgry>
    <catValu>2051</catValu>
    <labl>51 hours</labl>
  </catgry>
  <catgry>
    <catValu>2052</catValu>
    <labl>52 hours</labl>
  </catgry>
  <catgry>
    <catValu>2053</catValu>
    <labl>53 hours</labl>
  </catgry>
  <catgry>
    <catValu>2054</catValu>
    <labl>54 hours</labl>
  </catgry>
  <catgry>
    <catValu>2055</catValu>
    <labl>55 hours</labl>
  </catgry>
  <catgry>
    <catValu>2056</catValu>
    <labl>56 hours</labl>
  </catgry>
  <catgry>
    <catValu>2057</catValu>
    <labl>57 hours</labl>
  </catgry>
  <catgry>
    <catValu>2058</catValu>
    <labl>58 hours</labl>
  </catgry>
  <catgry>
    <catValu>2059</catValu>
    <labl>59 hours</labl>
  </catgry>
  <catgry>
    <catValu>2060</catValu>
    <labl>60 hours</labl>
  </catgry>
  <catgry>
    <catValu>2061</catValu>
    <labl>61 hours</labl>
  </catgry>
  <catgry>
    <catValu>2062</catValu>
    <labl>62 hours</labl>
  </catgry>
  <catgry>
    <catValu>2063</catValu>
    <labl>63 hours</labl>
  </catgry>
  <catgry>
    <catValu>2064</catValu>
    <labl>64 hours</labl>
  </catgry>
  <catgry>
    <catValu>2065</catValu>
    <labl>65 hours</labl>
  </catgry>
  <catgry>
    <catValu>2066</catValu>
    <labl>66 hours</labl>
  </catgry>
  <catgry>
    <catValu>2067</catValu>
    <labl>67 hours</labl>
  </catgry>
  <catgry>
    <catValu>2068</catValu>
    <labl>68 hours</labl>
  </catgry>
  <catgry>
    <catValu>2069</catValu>
    <labl>69 hours</labl>
  </catgry>
  <catgry>
    <catValu>2070</catValu>
    <labl>70 hours</labl>
  </catgry>
  <catgry>
    <catValu>2071</catValu>
    <labl>71 hours</labl>
  </catgry>
  <catgry>
    <catValu>2072</catValu>
    <labl>72 hours</labl>
  </catgry>
  <catgry>
    <catValu>2073</catValu>
    <labl>73 hours</labl>
  </catgry>
  <catgry>
    <catValu>2074</catValu>
    <labl>74 hours</labl>
  </catgry>
  <catgry>
    <catValu>2075</catValu>
    <labl>75 hours</labl>
  </catgry>
  <catgry>
    <catValu>2076</catValu>
    <labl>76 hours</labl>
  </catgry>
  <catgry>
    <catValu>2077</catValu>
    <labl>77 hours</labl>
  </catgry>
  <catgry>
    <catValu>2078</catValu>
    <labl>78 hours</labl>
  </catgry>
  <catgry>
    <catValu>2079</catValu>
    <labl>79 hours</labl>
  </catgry>
  <catgry>
    <catValu>2080</catValu>
    <labl>80 hours</labl>
  </catgry>
  <catgry>
    <catValu>2081</catValu>
    <labl>81 hours</labl>
  </catgry>
  <catgry>
    <catValu>2082</catValu>
    <labl>82 hours</labl>
  </catgry>
  <catgry>
    <catValu>2083</catValu>
    <labl>83 hours</labl>
  </catgry>
  <catgry>
    <catValu>2084</catValu>
    <labl>84 hours</labl>
  </catgry>
  <catgry>
    <catValu>2085</catValu>
    <labl>85 hours</labl>
  </catgry>
  <catgry>
    <catValu>2086</catValu>
    <labl>86 hours</labl>
  </catgry>
  <catgry>
    <catValu>2087</catValu>
    <labl>87 hours</labl>
  </catgry>
  <catgry>
    <catValu>2088</catValu>
    <labl>88 hours</labl>
  </catgry>
  <catgry>
    <catValu>2089</catValu>
    <labl>89 hours</labl>
  </catgry>
  <catgry>
    <catValu>2090</catValu>
    <labl>90 hours</labl>
  </catgry>
  <catgry>
    <catValu>2091</catValu>
    <labl>91 hours</labl>
  </catgry>
  <catgry>
    <catValu>2092</catValu>
    <labl>92 hours</labl>
  </catgry>
  <catgry>
    <catValu>2093</catValu>
    <labl>93 hours</labl>
  </catgry>
  <catgry>
    <catValu>2094</catValu>
    <labl>94 hours</labl>
  </catgry>
  <catgry>
    <catValu>2095</catValu>
    <labl>95 hours</labl>
  </catgry>
  <catgry>
    <catValu>2096</catValu>
    <labl>96 hours</labl>
  </catgry>
  <catgry>
    <catValu>2097</catValu>
    <labl>97 hours</labl>
  </catgry>
  <catgry>
    <catValu>2098</catValu>
    <labl>98 hours</labl>
  </catgry>
  <catgry>
    <catValu>2099</catValu>
    <labl>99 hours</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>100 hours or more</labl>
  </catgry>
  <catgry>
    <catValu>2999</catValu>
    <labl>Hours, number missing</labl>
  </catgry>
  <catgry>
    <catValu>3001</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>3002</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>3003</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>3004</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>3005</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>3999</catValu>
    <labl>Days, number missing</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Source comes to respondent</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>No source known</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (Not in universe)</labl>
  </catgry>
  <txt>For women who know of a source where contraception can be obtained, FPSRCTIME (V381) reports the amount of time it takes them to get there in minutes, hours, or days. The complementary variable FPSRCTIMEGP also reports the amount of time to get to the source of family planning, but that variable is top-coded at 120+ minutes.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPSRCTIMEGP" name="W_FPSRCTIMEGP" files="W" intrvl="discrete">
  <labl>Time to get to FP source (grouped)</labl>
  <imputation>Time to get to FP source (grouped)</imputation>
  <security>Time to get to FP source (grouped)</security>
  <embargo>Time to get to FP source (grouped)</embargo>
  <respUnit>Time to get to FP source (grouped)</respUnit>
  <qstn>
    <qstnLit>334) How long does it take to travel to your home to this place?
IF LESS THAN 2 HOURS, RECORD MINUTES. OTHERWISE, RECORD HOURS.

MINUTES: ___ 1
HOURS: ___ 2
DON'T KNOW 9998</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Mobile source</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>0 - 14 minutes</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>15 - 29 minutes</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>30 - 59 minutes</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>60 - 89 minutes</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>90 - 119 minutes</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>120 or more minutes</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Don't know time</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know source</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (Not in universe)</labl>
  </catgry>
  <txt>Like FPSRCTIME, for women who know of a source where contraception can be obtained, FPSRCTIMEGP (V382) reports the amount of time it takes to get to there, but the latter variable uses grouped intervals and is top-coded at 120+ minutes.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPPILLCOST" name="W_FPPILLCOST" files="W" intrvl="discrete">
  <labl>Cost of Pills</labl>
  <imputation>Cost of Pills</imputation>
  <security>Cost of Pills</security>
  <embargo>Cost of Pills</embargo>
  <respUnit>Cost of Pills</respUnit>
  <qstn>
    <qstnLit>317) How much does one packet of pills cost you?

RECORD PRICE.

317A) For how many cycles have you used this packet of pills?

RECORD NUMBER OF CYCLES.

COST: ___
FREE 9996
DON'T KNOW 9998

NUMBER OF CYCLES: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>000000</catValu>
    <labl>Free</labl>
  </catgry>
  <catgry>
    <catValu>999997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>999998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are currently using the Pill, FPPILLCOST (V325) reports the cost of a cycle of pills.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPPILLBRAND" name="W_FPPILLBRAND" files="W" intrvl="discrete">
  <labl>Brand of Pills currently used</labl>
  <imputation>Brand of Pills currently used</imputation>
  <security>Brand of Pills currently used</security>
  <embargo>Brand of Pills currently used</embargo>
  <respUnit>Brand of Pills currently used</respUnit>
  <qstn>
    <qstnLit>316) Do you know the brand name of the pills that you are now using?

STEDIRIL 01
MINIDRIL 02
MILLI ANOVLAR 03
EUGYNON 04
ADEPAL 05
MINIPHASE 06
LO-FEMENAL 07
EUGYNON 08
OTHER (SPECIFY): ___ 09
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>4203</catValu>
    <labl>Emkit</labl>
  </catgry>
  <catgry>
    <catValu>3112</catValu>
    <labl>Triella</labl>
  </catgry>
  <catgry>
    <catValu>2215</catValu>
    <labl>TriNovum</labl>
  </catgry>
  <catgry>
    <catValu>2114</catValu>
    <labl>Stediril</labl>
  </catgry>
  <catgry>
    <catValu>1241</catValu>
    <labl>Rigevidon</labl>
  </catgry>
  <catgry>
    <catValu>1240</catValu>
    <labl>Brevinor</labl>
  </catgry>
  <catgry>
    <catValu>1239</catValu>
    <labl>Lusiaf</labl>
  </catgry>
  <catgry>
    <catValu>1129</catValu>
    <labl>Yasmin</labl>
  </catgry>
  <catgry>
    <catValu>1128</catValu>
    <labl>Triquilar</labl>
  </catgry>
  <catgry>
    <catValu>1127</catValu>
    <labl>Trinordial</labl>
  </catgry>
  <catgry>
    <catValu>2113</catValu>
    <labl>"</labl>
  </catgry>
  <catgry>
    <catValu>1242</catValu>
    <labl>NewFem</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>LOW-DOSE PILLS</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>International brands</labl>
  </catgry>
  <catgry>
    <catValu>1101</catValu>
    <labl>Adepal</labl>
  </catgry>
  <catgry>
    <catValu>1102</catValu>
    <labl>Choice</labl>
  </catgry>
  <catgry>
    <catValu>1103</catValu>
    <labl>Cilest</labl>
  </catgry>
  <catgry>
    <catValu>1104</catValu>
    <labl>Combination-3</labl>
  </catgry>
  <catgry>
    <catValu>1105</catValu>
    <labl>Confidence</labl>
  </catgry>
  <catgry>
    <catValu>1106</catValu>
    <labl>Diane</labl>
  </catgry>
  <catgry>
    <catValu>1107</catValu>
    <labl>Duofem</labl>
  </catgry>
  <catgry>
    <catValu>1108</catValu>
    <labl>Eugynon</labl>
  </catgry>
  <catgry>
    <catValu>1109</catValu>
    <labl>Famila 28</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>Femicon</labl>
  </catgry>
  <catgry>
    <catValu>1111</catValu>
    <labl>Gracial</labl>
  </catgry>
  <catgry>
    <catValu>1112</catValu>
    <labl>Lo-femenal</labl>
  </catgry>
  <catgry>
    <catValu>1113</catValu>
    <labl>Logynon</labl>
  </catgry>
  <catgry>
    <catValu>1114</catValu>
    <labl>Marvelon</labl>
  </catgry>
  <catgry>
    <catValu>1115</catValu>
    <labl>Microgynon</labl>
  </catgry>
  <catgry>
    <catValu>1116</catValu>
    <labl>Minidril</labl>
  </catgry>
  <catgry>
    <catValu>1117</catValu>
    <labl>Miniphase</labl>
  </catgry>
  <catgry>
    <catValu>1118</catValu>
    <labl>Nordette</labl>
  </catgry>
  <catgry>
    <catValu>1119</catValu>
    <labl>Norminest</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>Norquest</labl>
  </catgry>
  <catgry>
    <catValu>1121</catValu>
    <labl>Novodol</labl>
  </catgry>
  <catgry>
    <catValu>1122</catValu>
    <labl>Oralcon F</labl>
  </catgry>
  <catgry>
    <catValu>1123</catValu>
    <labl>Ortho-Novum</labl>
  </catgry>
  <catgry>
    <catValu>1124</catValu>
    <labl>Pilplan</labl>
  </catgry>
  <catgry>
    <catValu>1125</catValu>
    <labl>Planif</labl>
  </catgry>
  <catgry>
    <catValu>1126</catValu>
    <labl>Planyl</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Country-specific brands</labl>
  </catgry>
  <catgry>
    <catValu>1201</catValu>
    <labl>Nogestol</labl>
  </catgry>
  <catgry>
    <catValu>1202</catValu>
    <labl>Desolon</labl>
  </catgry>
  <catgry>
    <catValu>1203</catValu>
    <labl>Femipill</labl>
  </catgry>
  <catgry>
    <catValu>1204</catValu>
    <labl>Maya</labl>
  </catgry>
  <catgry>
    <catValu>1205</catValu>
    <labl>Noret-28</labl>
  </catgry>
  <catgry>
    <catValu>1206</catValu>
    <labl>Ovacon</labl>
  </catgry>
  <catgry>
    <catValu>1207</catValu>
    <labl>Shuki</labl>
  </catgry>
  <catgry>
    <catValu>1208</catValu>
    <labl>Harmonie (PSI)</labl>
  </catgry>
  <catgry>
    <catValu>1209</catValu>
    <labl>Varnoline</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Microcept</labl>
  </catgry>
  <catgry>
    <catValu>1211</catValu>
    <labl>Microvlar</labl>
  </catgry>
  <catgry>
    <catValu>1212</catValu>
    <labl>Triocept</labl>
  </catgry>
  <catgry>
    <catValu>1213</catValu>
    <labl>Trivolar</labl>
  </catgry>
  <catgry>
    <catValu>1214</catValu>
    <labl>Style/Trigestrel</labl>
  </catgry>
  <catgry>
    <catValu>1215</catValu>
    <labl>Secure</labl>
  </catgry>
  <catgry>
    <catValu>1216</catValu>
    <labl>Microlite</labl>
  </catgry>
  <catgry>
    <catValu>1217</catValu>
    <labl>Apsara</labl>
  </catgry>
  <catgry>
    <catValu>1218</catValu>
    <labl>Ecroz</labl>
  </catgry>
  <catgry>
    <catValu>1219</catValu>
    <labl>Mala-D</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Mala-N</labl>
  </catgry>
  <catgry>
    <catValu>1221</catValu>
    <labl>Novelon</labl>
  </catgry>
  <catgry>
    <catValu>1222</catValu>
    <labl>Ovral L</labl>
  </catgry>
  <catgry>
    <catValu>1223</catValu>
    <labl>Pearl</labl>
  </catgry>
  <catgry>
    <catValu>1224</catValu>
    <labl>Anteovin</labl>
  </catgry>
  <catgry>
    <catValu>1225</catValu>
    <labl>Belara</labl>
  </catgry>
  <catgry>
    <catValu>1226</catValu>
    <labl>Gracial</labl>
  </catgry>
  <catgry>
    <catValu>1227</catValu>
    <labl>Loestrin</labl>
  </catgry>
  <catgry>
    <catValu>1228</catValu>
    <labl>Mawelon</labl>
  </catgry>
  <catgry>
    <catValu>1229</catValu>
    <labl>Norimin</labl>
  </catgry>
  <catgry>
    <catValu>1230</catValu>
    <labl>Femiplan</labl>
  </catgry>
  <catgry>
    <catValu>1231</catValu>
    <labl>Conova 30</labl>
  </catgry>
  <catgry>
    <catValu>1232</catValu>
    <labl>Trigynon</labl>
  </catgry>
  <catgry>
    <catValu>1233</catValu>
    <labl>OK pills</labl>
  </catgry>
  <catgry>
    <catValu>1234</catValu>
    <labl>Sure</labl>
  </catgry>
  <catgry>
    <catValu>1235</catValu>
    <labl>Feminyl</labl>
  </catgry>
  <catgry>
    <catValu>1236</catValu>
    <labl>Nilocon White</labl>
  </catgry>
  <catgry>
    <catValu>1237</catValu>
    <labl>Sunaulo Gulaf</labl>
  </catgry>
  <catgry>
    <catValu>1900</catValu>
    <labl>Unspecified low-dose pills</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>HIGH-DOSE PILLS</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>International brands</labl>
  </catgry>
  <catgry>
    <catValu>2101</catValu>
    <labl>Anovlar</labl>
  </catgry>
  <catgry>
    <catValu>2102</catValu>
    <labl>Gynovlar</labl>
  </catgry>
  <catgry>
    <catValu>2103</catValu>
    <labl>Lyndiol</labl>
  </catgry>
  <catgry>
    <catValu>2104</catValu>
    <labl>Microgynon 30 ED</labl>
  </catgry>
  <catgry>
    <catValu>2105</catValu>
    <labl>Milli Anovlar</labl>
  </catgry>
  <catgry>
    <catValu>2106</catValu>
    <labl>Neogynon</labl>
  </catgry>
  <catgry>
    <catValu>2107</catValu>
    <labl>Neogynon ED</labl>
  </catgry>
  <catgry>
    <catValu>2108</catValu>
    <labl>Nordiol</labl>
  </catgry>
  <catgry>
    <catValu>2109</catValu>
    <labl>Norquentiel</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Ovidon</labl>
  </catgry>
  <catgry>
    <catValu>2111</catValu>
    <labl>Ovral</labl>
  </catgry>
  <catgry>
    <catValu>2112</catValu>
    <labl>Ovulen 50</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Country-specific brands</labl>
  </catgry>
  <catgry>
    <catValu>2201</catValu>
    <labl>Combination-5</labl>
  </catgry>
  <catgry>
    <catValu>2202</catValu>
    <labl>Lynes</labl>
  </catgry>
  <catgry>
    <catValu>2203</catValu>
    <labl>Ovostat</labl>
  </catgry>
  <catgry>
    <catValu>2204</catValu>
    <labl>Regumen</labl>
  </catgry>
  <catgry>
    <catValu>2205</catValu>
    <labl>Novell-duo</labl>
  </catgry>
  <catgry>
    <catValu>2206</catValu>
    <labl>Gynera</labl>
  </catgry>
  <catgry>
    <catValu>2207</catValu>
    <labl>Primovlar</labl>
  </catgry>
  <catgry>
    <catValu>2208</catValu>
    <labl>Duoluton-L</labl>
  </catgry>
  <catgry>
    <catValu>2209</catValu>
    <labl>Ovral G</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Progyluton</labl>
  </catgry>
  <catgry>
    <catValu>2211</catValu>
    <labl>Gynovlane</labl>
  </catgry>
  <catgry>
    <catValu>2212</catValu>
    <labl>Ovanon</labl>
  </catgry>
  <catgry>
    <catValu>2213</catValu>
    <labl>Ovidon</labl>
  </catgry>
  <catgry>
    <catValu>2214</catValu>
    <labl>Triphasit</labl>
  </catgry>
  <catgry>
    <catValu>2900</catValu>
    <labl>Unspecified high-dose pill</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>PROGESTIN-ONLY PILLS</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>International brands</labl>
  </catgry>
  <catgry>
    <catValu>3101</catValu>
    <labl>Exluton/Lynestrenol</labl>
  </catgry>
  <catgry>
    <catValu>3102</catValu>
    <labl>Femulen</labl>
  </catgry>
  <catgry>
    <catValu>3103</catValu>
    <labl>Microlut</labl>
  </catgry>
  <catgry>
    <catValu>3104</catValu>
    <labl>Micronor</labl>
  </catgry>
  <catgry>
    <catValu>3105</catValu>
    <labl>Micronovum</labl>
  </catgry>
  <catgry>
    <catValu>3106</catValu>
    <labl>Microval</labl>
  </catgry>
  <catgry>
    <catValu>3107</catValu>
    <labl>"</labl>
  </catgry>
  <catgry>
    <catValu>3108</catValu>
    <labl>Minovlar</labl>
  </catgry>
  <catgry>
    <catValu>3109</catValu>
    <labl>Noriday</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Ovrette</labl>
  </catgry>
  <catgry>
    <catValu>3111</catValu>
    <labl>Safe Plan</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>Country-specific brands</labl>
  </catgry>
  <catgry>
    <catValu>3201</catValu>
    <labl>Bredicon</labl>
  </catgry>
  <catgry>
    <catValu>3202</catValu>
    <labl>Minicon</labl>
  </catgry>
  <catgry>
    <catValu>3203</catValu>
    <labl>Levonor</labl>
  </catgry>
  <catgry>
    <catValu>3204</catValu>
    <labl>Hyan</labl>
  </catgry>
  <catgry>
    <catValu>3205</catValu>
    <labl>I-plan</labl>
  </catgry>
  <catgry>
    <catValu>3206</catValu>
    <labl>Primolut N</labl>
  </catgry>
  <catgry>
    <catValu>3207</catValu>
    <labl>Cerazette</labl>
  </catgry>
  <catgry>
    <catValu>3208</catValu>
    <labl>Planor</labl>
  </catgry>
  <catgry>
    <catValu>3209</catValu>
    <labl>Softsure</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>EMERGENCY CONTRACEPTION</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>International brands</labl>
  </catgry>
  <catgry>
    <catValu>4200</catValu>
    <labl>Country-specific brands</labl>
  </catgry>
  <catgry>
    <catValu>4201</catValu>
    <labl>Gravistal</labl>
  </catgry>
  <catgry>
    <catValu>4202</catValu>
    <labl>Postinor</labl>
  </catgry>
  <catgry>
    <catValu>4900</catValu>
    <labl>Unspecified emergency contraception</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>NON-HORMONAL PILLS</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>International brands</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Country-specific brands</labl>
  </catgry>
  <catgry>
    <catValu>5201</catValu>
    <labl>Centron</labl>
  </catgry>
  <catgry>
    <catValu>5202</catValu>
    <labl>Saheli</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>UNSPECIFIED/UNKNOWN PILLS</labl>
  </catgry>
  <catgry>
    <catValu>6100</catValu>
    <labl>International brands</labl>
  </catgry>
  <catgry>
    <catValu>6101</catValu>
    <labl>Today (sponge)</labl>
  </catgry>
  <catgry>
    <catValu>6200</catValu>
    <labl>Country-specific brands</labl>
  </catgry>
  <catgry>
    <catValu>6201</catValu>
    <labl>Khoshi</labl>
  </catgry>
  <catgry>
    <catValu>6202</catValu>
    <labl>Aco</labl>
  </catgry>
  <catgry>
    <catValu>6203</catValu>
    <labl>Cotrablan</labl>
  </catgry>
  <catgry>
    <catValu>6204</catValu>
    <labl>Microvior 30</labl>
  </catgry>
  <catgry>
    <catValu>6205</catValu>
    <labl>Stero</labl>
  </catgry>
  <catgry>
    <catValu>6206</catValu>
    <labl>Blue</labl>
  </catgry>
  <catgry>
    <catValu>6207</catValu>
    <labl>Hot</labl>
  </catgry>
  <catgry>
    <catValu>6208</catValu>
    <labl>Kamal (foam)</labl>
  </catgry>
  <catgry>
    <catValu>6209</catValu>
    <labl>N/M tablets</labl>
  </catgry>
  <catgry>
    <catValu>6210</catValu>
    <labl>Nofian</labl>
  </catgry>
  <catgry>
    <catValu>6211</catValu>
    <labl>Period oil</labl>
  </catgry>
  <catgry>
    <catValu>6212</catValu>
    <labl>Sacharin</labl>
  </catgry>
  <catgry>
    <catValu>6213</catValu>
    <labl>Skill</labl>
  </catgry>
  <catgry>
    <catValu>6214</catValu>
    <labl>Moti</labl>
  </catgry>
  <catgry>
    <catValu>6215</catValu>
    <labl>Subitha</labl>
  </catgry>
  <catgry>
    <catValu>6216</catValu>
    <labl>Fingers</labl>
  </catgry>
  <catgry>
    <catValu>6217</catValu>
    <labl>Sutura</labl>
  </catgry>
  <catgry>
    <catValu>6218</catValu>
    <labl>Menstrogen (injection)</labl>
  </catgry>
  <catgry>
    <catValu>6219</catValu>
    <labl>Norvolain</labl>
  </catgry>
  <catgry>
    <catValu>6220</catValu>
    <labl>Flexi P</labl>
  </catgry>
  <catgry>
    <catValu>6221</catValu>
    <labl>Marutton</labl>
  </catgry>
  <catgry>
    <catValu>6900</catValu>
    <labl>Other unspecified/unknown pills</labl>
  </catgry>
  <catgry>
    <catValu>6901</catValu>
    <labl>Unspecified private brand</labl>
  </catgry>
  <catgry>
    <catValu>6902</catValu>
    <labl>Unspecified public brand</labl>
  </catgry>
  <catgry>
    <catValu>6903</catValu>
    <labl>Unspecified social marketing brand</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Not able to show</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are currently using the Pill, FPPILLBRAND (V323) reports the brand name of the Pill that the respondent currently uses.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPPILLPACK" name="W_FPPILLPACK" files="W" intrvl="discrete">
  <labl>Shown pill package</labl>
  <imputation>Shown pill package</imputation>
  <security>Shown pill package</security>
  <embargo>Shown pill package</embargo>
  <respUnit>Shown pill package</respUnit>
  <qstn>
    <qstnLit>315) May I see the package of pills you are using now?

STEDIRIL 01 (GO TO 317)
MINIDRIL 02 (GO TO 317)
MILLI ANOVLAR 03 (GO TO 317)
EUGYNON 04 (GO TO 317)
ADEPAL 05 (GO TO 317)
MINIPHASE 06 (GO TO 317)
LO-FEMENAL 07 (GO TO 317)
EUGYNON 08 (GO TO 317)
OTHER (SPECIFY): ___ 09 (GO TO 317)
BOX NOT SHOWN 10</qstnLit>
  </qstn>
  <catgry>
    <labl>Package not seen</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Package seen</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are currently using the Pill as a method of family planning, FPPILLPACK (V372) indicates whether the package of pills currently being used was seen by the interviewer.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPLPILSAWDR" name="W_FPLPILSAWDR" files="W" intrvl="discrete">
  <labl>Saw doctor or nurse last time got Pill</labl>
  <imputation>Saw doctor or nurse last time got Pill</imputation>
  <security>Saw doctor or nurse last time got Pill</security>
  <embargo>Saw doctor or nurse last time got Pill</embargo>
  <respUnit>Saw doctor or nurse last time got Pill</respUnit>
  <qstn>
    <qstnLit>314) At the time you last got pills, did you consult a doctor or midwife?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPLPILSAWDR (V374) indicates whether the woman consulted a doctor or other trained medical personnel when she last got a supply of the Pill.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FP1STUSGPKID" name="W_FP1STUSGPKID" files="W" intrvl="discrete">
  <labl>Number living children at first use of FP (grouped)</labl>
  <imputation>Number living children at first use of FP (grouped)</imputation>
  <security>Number living children at first use of FP (grouped)</security>
  <embargo>Number living children at first use of FP (grouped)</embargo>
  <respUnit>Number living children at first use of FP (grouped)</respUnit>
  <qstn>
    <qstnLit>308) Now I would like to speak to you about the time when you first did something or used a method to avoid getting pregnant. How many children did you have at that time?

IF NONE, RECORD '00'.

NUMBER OF CHILDREN: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4+</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Inconsistent number reported</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Never used FP</labl>
  </catgry>
  <txt>FP1STUSGPKID (V311) reports the number of living children, if any, the woman had when she first used a contraceptive method, with the number top-coded at 4+ children. FP1STUSLVKID reports responses to the same question, without top-coding the answers.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>First use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FP1STUSLVKID" name="W_FP1STUSLVKID" files="W" intrvl="discrete">
  <labl>Number living children at first use of FP</labl>
  <imputation>Number living children at first use of FP</imputation>
  <security>Number living children at first use of FP</security>
  <embargo>Number living children at first use of FP</embargo>
  <respUnit>Number living children at first use of FP</respUnit>
  <qstn>
    <qstnLit>308) Now I would like to speak to you about the time when you first did something or used a method to avoid getting pregnant. How many children did you have at that time?

IF NONE, RECORD '00'.

NUMBER OF CHILDREN: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FP1STUSLVKID (V310) reports the number of living children the woman had the first time she used a contraceptive method.  The same information is also reported in FP1STUSGPKID, except responses are top-coded at 4+ children in that variable and women who have never used contraception are coded as "9."</txt>
  <concept>
    <title>First use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FP1PILSAWDR" name="W_FP1PILSAWDR" files="W" intrvl="discrete">
  <labl>Saw doctor or nurse for first use of Pill</labl>
  <imputation>Saw doctor or nurse for first use of Pill</imputation>
  <security>Saw doctor or nurse for first use of Pill</security>
  <embargo>Saw doctor or nurse for first use of Pill</embargo>
  <respUnit>Saw doctor or nurse for first use of Pill</respUnit>
  <qstn>
    <qstnLit>313 At the time you first started using the pill, did you consult a doctor or a midwife?

YES 1
NO 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <txt>FP1PILSAWDR (V373) indicates whether the woman consulted a doctor or other trained medical personnel when she first started using the Pill.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>First use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPUSINTENT" name="W_FPUSINTENT" files="W" intrvl="discrete">
  <labl>FP current use or future intention</labl>
  <imputation>FP current use or future intention</imputation>
  <security>FP current use or future intention</security>
  <embargo>FP current use or future intention</embargo>
  <respUnit>FP current use or future intention</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>Using modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Using traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Non-user intending to use</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Does not intend to use</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Never had sex</labl>
  </catgry>
  <txt>FPUSINTENT (V364) is a constructed variable drawing on responses to multiple survey questions that divides women into the following categories: those who are currently using a contraceptive method (either modern or traditional); those who are not now using contraception but intend to do so in the future; those who are neither using contraception now nor intend to do so in the future; and (in a minority of samples) those who never had sex.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

IPUMS-DHS users are encouraged to review FPMETHNOW and FPUSPLAN for additional information on the variables used to construct FPUSINTENT.</txt>
  <concept>
    <title>Future use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPUSPLAN" name="W_FPUSPLAN" files="W" intrvl="discrete">
  <labl>Intention to use FP in future</labl>
  <imputation>Intention to use FP in future</imputation>
  <security>Intention to use FP in future</security>
  <embargo>Intention to use FP in future</embargo>
  <respUnit>Intention to use FP in future</respUnit>
  <qstn>
    <qstnLit>326) Do you intend to use a method to avoid getting pregnant in the future?

YES 1 (GO TO 328)
NO 2
DON'T KNOW 8 (GO TO 332)</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Will use in future</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Use in next 12 months</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Use later</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Unsure about future use</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Unsure about timing</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Unsure about use</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Does not intend to use</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Never had sex</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPUSPLAN (V362) is a constructed variable based on multiple survey questions that reports, for women not currently using contraception, whether the woman intends to use contraception in the future and, if so, when she intends to begin use (in the next 12 months or later). Women uncertain about future contraceptive use are subdivided into those who are unsure about using a method and those unsure about the timing of planned future use.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>Future use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPMETHFUTR" name="W_FPMETHFUTR" files="W" intrvl="discrete">
  <labl>Preferred future FP method</labl>
  <imputation>Preferred future FP method</imputation>
  <security>Preferred future FP method</security>
  <embargo>Preferred future FP method</embargo>
  <respUnit>Preferred future FP method</respUnit>
  <qstn>
    <qstnLit>329) When you eventually do use a method, which method would you prefer to use?

PILL 01
IUD 02
INJECTIONS 03
DIAPHRAGM/FOAM/GEL 04
CONDOM 05
FEMALE STERILIZATION 06
MALE STERILIZATION 07
PERIODIC ABSTINENCE 08 (GO TO 332)
WITHDRAWAL 09 (GO TO 332)
GRIS-GRIS 10 (GO TO 332)
OTHER (SPECIFY): ___ 11 (GO TO 332)
UNSURE 98 (GO TO 332)</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>Specific method 4</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>Specific method 3</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>Specific method 2</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>Specific method 1</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Other method, unspecified</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>Traditional medications</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>Astrology</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>Gris-gris/amulet</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>Herbs</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>Other traditional/folkloric</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>Withdrawal</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>Abstinence</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>Periodic abstinence</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Abstinence or periodic abstinence</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>TRADITIONAL METHODS</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>Whatever doctor prescribes</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>Other modern methods</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>Emergency contraception</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>Prolonged breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>Lactational amenorrhea (LAM)</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>Vaginal methods</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>Foaming tablets</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>Foam or jelly</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>Diaphragm/Jelly</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>Diaphragm/Foam</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>Diaphragm</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Diaphragm/Foam/Jelly</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>Male sterilization</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>Female sterilization</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>Female condom</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>Condom</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>Norplant/implants</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>Injections</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>IUD</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>Pill</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>MODERN METHODS</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>CycleBeads/Standard days method</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>Mucus method (periodic abstinence)</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>Knotted cord/strings</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>Charm from traditional spiritual leader</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Don't know</labl>
  </catgry>
  <txt>For women not currently using a contraceptive method but intending to do so in the future, FPMETHFUTR (V363) reports the family planning method the woman would prefer to use.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

Answers are grouped under the broad categories of "modern methods," "traditional methods," and "other methods," each with a different first digit. Specific methods are distinguished by the second and third digits. Closely related responses, such as various groupings of diaphragm/foam/jelly, share the first 2 digits in common, while the third digit distinguishes the exact response category.</txt>
  <concept>
    <title>Future use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPSRCFUTR" name="W_FPSRCFUTR" files="W" intrvl="discrete">
  <labl>The source of the preferred method is the source the respondent believes the preferred method is available.</labl>
  <imputation>The source of the preferred method is the source the respondent believes the preferred method is available.</imputation>
  <security>The source of the preferred method is the source the respondent believes the preferred method is available.</security>
  <embargo>The source of the preferred method is the source the respondent believes the preferred method is available.</embargo>
  <respUnit>The source of the preferred method is the source the respondent believes the preferred method is available.</respUnit>
  <qstn>
    <qstnLit>330) Where can you get (METHOD MENTIONED IN 329)?

NAME OF PLACE: ___

PUBLIC SECTOR

HOSPITAL 11 (GO TO 334)
MEDICAL CENTER 12(GO TO 334)
FAMILY HEALTH CENTER 13(GO TO 334)
MOTHER AND CHILD CARE CENTER 14 (GO TO 334)
DISPENSARY 15 (GO TO 334)
MATERNITY WARD 16 (GO TO 334)
PEOPLE'S PHARMACY 17 (GO TO 334)

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE 21 (GO TO 334)
CLINIC/HOSPITAL 22 (GO TO 334)
PHARMACY 23 (GO TO 334)

OTHER PRIVATE SECTOR

RELATIVE 31 (GO TO 336)
NEIGHBOR 32 (GO TO 336)

OTHER (SPECIFY): ___ 41(GO TO 336)
DON'T KNOW 98 (GO TO 332)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1000</catValu>
    <labl>PUBLIC SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Government hospital</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>Regional/provincial hospital</labl>
  </catgry>
  <catgry>
    <catValu>1130</catValu>
    <labl>Urban hospital</labl>
  </catgry>
  <catgry>
    <catValu>1140</catValu>
    <labl>District hospital</labl>
  </catgry>
  <catgry>
    <catValu>1150</catValu>
    <labl>Rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>1160</catValu>
    <labl>Teaching hospital</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Government health center</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Urban health center</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Rural health center</labl>
  </catgry>
  <catgry>
    <catValu>1230</catValu>
    <labl>Family welfare center</labl>
  </catgry>
  <catgry>
    <catValu>1240</catValu>
    <labl>Primary health center</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>Government family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>1400</catValu>
    <labl>Government pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>1410</catValu>
    <labl>Government pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>1420</catValu>
    <labl>Government dispensary</labl>
  </catgry>
  <catgry>
    <catValu>1500</catValu>
    <labl>Government maternity home</labl>
  </catgry>
  <catgry>
    <catValu>1510</catValu>
    <labl>Maternal and child health (MCH) center</labl>
  </catgry>
  <catgry>
    <catValu>1600</catValu>
    <labl>Government outreach</labl>
  </catgry>
  <catgry>
    <catValu>1610</catValu>
    <labl>Government health post</labl>
  </catgry>
  <catgry>
    <catValu>1620</catValu>
    <labl>Government mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>1630</catValu>
    <labl>Government health worker</labl>
  </catgry>
  <catgry>
    <catValu>1631</catValu>
    <labl>Fieldworker</labl>
  </catgry>
  <catgry>
    <catValu>1632</catValu>
    <labl>Paramedic</labl>
  </catgry>
  <catgry>
    <catValu>1633</catValu>
    <labl>Doctor</labl>
  </catgry>
  <catgry>
    <catValu>1634</catValu>
    <labl>Community/village health worker</labl>
  </catgry>
  <catgry>
    <catValu>1900</catValu>
    <labl>Other public sector</labl>
  </catgry>
  <catgry>
    <catValu>1901</catValu>
    <labl>Health insurance organization</labl>
  </catgry>
  <catgry>
    <catValu>1902</catValu>
    <labl>Curative care organization</labl>
  </catgry>
  <catgry>
    <catValu>1903</catValu>
    <labl>Parastatal health facility</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>PRIVATE MEDICAL SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Private hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Private hospital</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>Private clinic</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Private doctor</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Doctor/birth attendant</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Private pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>2310</catValu>
    <labl>Private pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>2320</catValu>
    <labl>Private dispensary</labl>
  </catgry>
  <catgry>
    <catValu>2400</catValu>
    <labl>Private health center</labl>
  </catgry>
  <catgry>
    <catValu>2500</catValu>
    <labl>Private family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>2600</catValu>
    <labl>Private maternity home</labl>
  </catgry>
  <catgry>
    <catValu>2700</catValu>
    <labl>Private outreach</labl>
  </catgry>
  <catgry>
    <catValu>2710</catValu>
    <labl>Private mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>2720</catValu>
    <labl>Private health worker</labl>
  </catgry>
  <catgry>
    <catValu>2721</catValu>
    <labl>Nurse</labl>
  </catgry>
  <catgry>
    <catValu>2722</catValu>
    <labl>Fieldworker</labl>
  </catgry>
  <catgry>
    <catValu>2723</catValu>
    <labl>Community-based distribution agent (CBDA)</labl>
  </catgry>
  <catgry>
    <catValu>2900</catValu>
    <labl>Other private medical sector</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>NGO FACILITY</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>NGO health facility</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>Country-specific NGOs</labl>
  </catgry>
  <catgry>
    <catValu>3201</catValu>
    <labl>CSI project</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>RELIGIOUS/MISSION</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>Religious hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>4110</catValu>
    <labl>Religious hospital</labl>
  </catgry>
  <catgry>
    <catValu>4200</catValu>
    <labl>Religious dispensary</labl>
  </catgry>
  <catgry>
    <catValu>4300</catValu>
    <labl>Religious health center</labl>
  </catgry>
  <catgry>
    <catValu>4310</catValu>
    <labl>Mosque health center</labl>
  </catgry>
  <catgry>
    <catValu>4320</catValu>
    <labl>Church health center</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Relative/friend</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Shop</labl>
  </catgry>
  <catgry>
    <catValu>5300</catValu>
    <labl>Church</labl>
  </catgry>
  <catgry>
    <catValu>5400</catValu>
    <labl>Traditional birth attendant</labl>
  </catgry>
  <catgry>
    <catValu>5500</catValu>
    <labl>Workplace</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are not currently using contraception but intend to use a modern method in the future, FPSRCFUTR (V377) reports the intended source for their preferred future method.

The related variable FPSRCFUTRS (V378) reports the intended source for their preferred future method, in standardized response categories.</txt>
  <concept>
    <title>Future use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPSRCFUTRS" name="W_FPSRCFUTRS" files="W" intrvl="discrete">
  <labl>Source of preferred future FP method, standardized</labl>
  <imputation>Source of preferred future FP method, standardized</imputation>
  <security>Source of preferred future FP method, standardized</security>
  <embargo>Source of preferred future FP method, standardized</embargo>
  <respUnit>Source of preferred future FP method, standardized</respUnit>
  <qstn>
    <qstnLit>330) Where can you get (METHOD MENTIONED IN 329)?

NAME OF PLACE: ___

PUBLIC SECTOR

HOSPITAL 11 (GO TO 334)
MEDICAL CENTER 12(GO TO 334)
FAMILY HEALTH CENTER 13(GO TO 334)
MOTHER AND CHILD CARE CENTER 14 (GO TO 334)
DISPENSARY 15 (GO TO 334)
MATERNITY WARD 16 (GO TO 334)
PEOPLE'S PHARMACY 17 (GO TO 334)

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE 21 (GO TO 334)
CLINIC/HOSPITAL 22 (GO TO 334)
PHARMACY 23 (GO TO 334)

OTHER PRIVATE SECTOR

RELATIVE 31 (GO TO 336)
NEIGHBOR 32 (GO TO 336)

OTHER (SPECIFY): ___ 41(GO TO 336)
DON'T KNOW 98 (GO TO 332)</qstnLit>
  </qstn>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Shop, church, friend, books</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Private Pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Private Clin/Deliv</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>NGO</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Got Home/Comm delivery</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Govt Clinical/Pharm</labl>
  </catgry>
  <txt>For women who plan to use a modern contraceptive method in the future, FPSRCFUTRS (V378) reports the intended source for their preferred future method. This variable was constructed by recoding country-specific responses into standard categories that are consistent across samples.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>Future use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPEVUSE" name="W_FPEVUSE" files="W" intrvl="discrete">
  <labl>Ever use any type of FP (folk, traditional, modern)</labl>
  <imputation>Ever use any type of FP (folk, traditional, modern)</imputation>
  <security>Ever use any type of FP (folk, traditional, modern)</security>
  <embargo>Ever use any type of FP (folk, traditional, modern)</embargo>
  <respUnit>Ever use any type of FP (folk, traditional, modern)</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Never used</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Used only traditional or folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Used only traditional method</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Used only folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Used modern method</labl>
  </catgry>
  <txt>FPEVUSE (V302) is a constructed variable that reports whether the woman had ever used a family planning method and, if so, whether she had used a modern contraceptive method or only a traditional or folkloric method.  

In the DHS, modern methods are pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPEVUSPILL" name="W_FPEVUSPILL" files="W" intrvl="discrete">
  <labl>Ever use Pill for FP</labl>
  <imputation>Ever use Pill for FP</imputation>
  <security>Ever use Pill for FP</security>
  <embargo>Ever use Pill for FP</embargo>
  <respUnit>Ever use Pill for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSPILL (V305_01) indicates whether the woman has ever used the pill to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPEVUSIUD" name="W_FPEVUSIUD" files="W" intrvl="discrete">
  <labl>Ever use IUD for FP</labl>
  <imputation>Ever use IUD for FP</imputation>
  <security>Ever use IUD for FP</security>
  <embargo>Ever use IUD for FP</embargo>
  <respUnit>Ever use IUD for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSIUD (V305_02) indicates whether the woman had ever used an IUD to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPEVUSINJ" name="W_FPEVUSINJ" files="W" intrvl="discrete">
  <labl>Ever use injectable for FP</labl>
  <imputation>Ever use injectable for FP</imputation>
  <security>Ever use injectable for FP</security>
  <embargo>Ever use injectable for FP</embargo>
  <respUnit>Ever use injectable for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSINJ (V305_03) indicates whether the woman has ever used injectable contraception to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPEVUSDIA" name="W_FPEVUSDIA" files="W" intrvl="discrete">
  <labl>Ever use diaphragm for FP</labl>
  <imputation>Ever use diaphragm for FP</imputation>
  <security>Ever use diaphragm for FP</security>
  <embargo>Ever use diaphragm for FP</embargo>
  <respUnit>Ever use diaphragm for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSDIA (V305_04) indicates whether the woman had ever used the diaphragm (sometimes explicitly in conjunction with foam or jelly) to delay or avoid a pregnancy. See Comparability.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPEVUSCON" name="W_FPEVUSCON" files="W" intrvl="discrete">
  <labl>Ever use condom for FP</labl>
  <imputation>Ever use condom for FP</imputation>
  <security>Ever use condom for FP</security>
  <embargo>Ever use condom for FP</embargo>
  <respUnit>Ever use condom for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSCON (V305_05) indicates whether the woman had ever used the male condom to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPEVUSFST" name="W_FPEVUSFST" files="W" intrvl="discrete">
  <labl>Ever use female sterilization for FP</labl>
  <imputation>Ever use female sterilization for FP</imputation>
  <security>Ever use female sterilization for FP</security>
  <embargo>Ever use female sterilization for FP</embargo>
  <respUnit>Ever use female sterilization for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSFST (V305_06) indicates whether the woman had ever used female sterilization to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPEVUSWD" name="W_FPEVUSWD" files="W" intrvl="discrete">
  <labl>Ever use withdrawal for FP</labl>
  <imputation>Ever use withdrawal for FP</imputation>
  <security>Ever use withdrawal for FP</security>
  <embargo>Ever use withdrawal for FP</embargo>
  <respUnit>Ever use withdrawal for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSWD (V305_09) indicates whether the woman has ever used withdrawal to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPEVUSRHY" name="W_FPEVUSRHY" files="W" intrvl="discrete">
  <labl>Ever use rhythm for FP</labl>
  <imputation>Ever use rhythm for FP</imputation>
  <security>Ever use rhythm for FP</security>
  <embargo>Ever use rhythm for FP</embargo>
  <respUnit>Ever use rhythm for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSRHY (V305_08) indicates whether the woman had ever used rhythm (periodic abstinence) to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPEVUSMST" name="W_FPEVUSMST" files="W" intrvl="discrete">
  <labl>Ever use male sterilization for FP</labl>
  <imputation>Ever use male sterilization for FP</imputation>
  <security>Ever use male sterilization for FP</security>
  <embargo>Ever use male sterilization for FP</embargo>
  <respUnit>Ever use male sterilization for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSMST (V305_07) indicates whether the woman had ever used male sterilization to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPEVUSCHARM" name="W_FPEVUSCHARM" files="W" intrvl="discrete">
  <labl>Ever use charms or amulets for FP</labl>
  <imputation>Ever use charms or amulets for FP</imputation>
  <security>Ever use charms or amulets for FP</security>
  <embargo>Ever use charms or amulets for FP</embargo>
  <respUnit>Ever use charms or amulets for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSCHARM indicates whether the woman had ever used charms or amulets to delay or avoid a pregnancy. The complementary variable FPKNOCHARM indicates whether the woman knew about using charms or amulets as a method for family planning.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPEVUSRELIG" name="W_FPEVUSRELIG" files="W" intrvl="discrete">
  <labl>Ever use religion for FP</labl>
  <imputation>Ever use religion for FP</imputation>
  <security>Ever use religion for FP</security>
  <embargo>Ever use religion for FP</embargo>
  <respUnit>Ever use religion for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSRELIG indicates whether the woman had ever used religion, such as a religious holy person or holy book, to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPEVUSOM" name="W_FPEVUSOM" files="W" intrvl="discrete">
  <labl>Ever use other methods for FP</labl>
  <imputation>Ever use other methods for FP</imputation>
  <security>Ever use other methods for FP</security>
  <embargo>Ever use other methods for FP</embargo>
  <respUnit>Ever use other methods for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSOM (V305_10) indicates whether the woman has ever used other methods to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPSTERAGN" name="W_FPSTERAGN" files="W" intrvl="discrete">
  <labl>Thinks would have sterilization again</labl>
  <imputation>Thinks would have sterilization again</imputation>
  <security>Thinks would have sterilization again</security>
  <embargo>Thinks would have sterilization again</embargo>
  <respUnit>Thinks would have sterilization again</respUnit>
  <qstn>
    <qstnLit>607) Given your present circumstances, if you could do it all over again, do you think you/your husband would make the same decision to not have any more children?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERAGN (V619) indicates whether they (or their partners) would choose to have the operation if given the chance to do it over again.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPSTERREG" name="W_FPSTERREG" files="W" intrvl="discrete">
  <labl>Reason regrets sterilization</labl>
  <imputation>Reason regrets sterilization</imputation>
  <security>Reason regrets sterilization</security>
  <embargo>Reason regrets sterilization</embargo>
  <respUnit>Reason regrets sterilization</respUnit>
  <qstn>
    <qstnLit>609) Why do you regret it?

RESPONDENT WANTS ANOTHER CHILD 1 (GO TO 614)
PARTNER WANTS ANOTHER CHILD 2 1 (GO TO 614)
SIDE EFFECTS 3 (GO TO 614)
OTHER REASON (SPECIFY): ___ 4 (GO TO 614)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No regret</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Respondent wants a(nother) child</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Partner wants a(nother) child</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Side effects</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Child died</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Marital status changed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Operation failed</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Other reason</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERREG (V618) reports the reason (if any) they regret getting sterilized.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPSTERILAGE" name="W_FPSTERILAGE" files="W" intrvl="discrete">
  <labl>Age at sterilization (grouped)</labl>
  <imputation>Age at sterilization (grouped)</imputation>
  <security>Age at sterilization (grouped)</security>
  <embargo>Age at sterilization (grouped)</embargo>
  <respUnit>Age at sterilization (grouped)</respUnit>
  <qstn>
    <qstnLit>322) In what month and year was the sterilization operation performed?

MONTH: ___ (GO TO 336)
YEAR: ___ (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>7</catValu>
    <labl>50 - 54 years old</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Less than 25 years old</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>25 - 29 years old</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>30 - 34 years old</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>35 - 39 years old</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>40 - 44 years old</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>45 - 49 years old</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERILAGE (V320) reports their age at the time of their sterilization operation.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPSTERILPAR" name="W_FPSTERILPAR" files="W" intrvl="discrete">
  <labl>Parity at sterilization</labl>
  <imputation>Parity at sterilization</imputation>
  <security>Parity at sterilization</security>
  <embargo>Parity at sterilization</embargo>
  <respUnit>Parity at sterilization</respUnit>
  <qstn>
    <qstnLit>322) In what month and year was the sterilization operation performed?

MONTH: ___ (GO TO 336)
YEAR: ___ (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5 or more</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERILPAR (V322) reports the parity of the women at the time of their sterilization, top-coded at 5+ children.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPSTERMARDUR" name="W_FPSTERMARDUR" files="W" intrvl="discrete">
  <labl>Marital duration at time of sterilization</labl>
  <imputation>Marital duration at time of sterilization</imputation>
  <security>Marital duration at time of sterilization</security>
  <embargo>Marital duration at time of sterilization</embargo>
  <respUnit>Marital duration at time of sterilization</respUnit>
  <qstn>
    <qstnLit>322) In what month and year was the sterilization operation performed?

MONTH: ___ (GO TO 336)
YEAR: ___ (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <labl>Single, before marriage</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>0 - 4 years</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>5 - 9 years</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>10 - 14 years</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>15 - 19 years</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>20 - 24 years</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>25 - 29 years</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERMARDUR (V321) reports, in 5-year groups, the women's marital duration at the time of their sterilization.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPSTERYRAGO" name="W_FPSTERYRAGO" files="W" intrvl="discrete">
  <labl>Years since sterilization</labl>
  <imputation>Years since sterilization</imputation>
  <security>Years since sterilization</security>
  <embargo>Years since sterilization</embargo>
  <respUnit>Years since sterilization</respUnit>
  <qstn>
    <qstnLit>322) In what month and year was the sterilization operation performed?

MONTH: ___ (GO TO 336)
YEAR: ___ (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Less than 2 years</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2 - 3 years</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>4 - 5 years</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>6 - 7 years</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>8 - 9 years</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>10 or more years</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERYRAGO (V319) reports the number of years since their sterilization operation, using 2-year groups, top-coded at 10+ years.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPSTERILDTCMC" name="W_FPSTERILDTCMC" files="W" intrvl="discrete">
  <labl>Date when sterilized (CMC)</labl>
  <imputation>Date when sterilized (CMC)</imputation>
  <security>Date when sterilized (CMC)</security>
  <embargo>Date when sterilized (CMC)</embargo>
  <respUnit>Date when sterilized (CMC)</respUnit>
  <qstn>
    <qstnLit>322) In what month and year was the sterilization operation performed?

MONTH: ___ (GO TO 336)
YEAR: ___ (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERILDTCMC reports the century month code (CMC) for the date of their sterilization.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPSTERILMO" name="W_FPSTERILMO" files="W" intrvl="discrete">
  <labl>Month of sterilization</labl>
  <imputation>Month of sterilization</imputation>
  <security>Month of sterilization</security>
  <embargo>Month of sterilization</embargo>
  <respUnit>Month of sterilization</respUnit>
  <qstn>
    <qstnLit>322) In what month and year was the sterilization operation performed?

MONTH: ___ (GO TO 336)
YEAR: ___ (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERILMO reports the calendar month of their sterilization. The calendar year of their sterilization is reported in FPSTERILYR.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPSTERILYR" name="W_FPSTERILYR" files="W" intrvl="discrete">
  <labl>Year when sterilized</labl>
  <imputation>Year when sterilized</imputation>
  <security>Year when sterilized</security>
  <embargo>Year when sterilized</embargo>
  <respUnit>Year when sterilized</respUnit>
  <qstn>
    <qstnLit>322) In what month and year was the sterilization operation performed?

MONTH: ___ (GO TO 336)
YEAR: ___ (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERILYR reports the calendar year of their sterilization. The calendar month of their sterilization is reported in FPSTERILMO.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPSTERCOMP" name="W_FPSTERCOMP" files="W" intrvl="discrete">
  <labl>Completeness of information - date of sterilization</labl>
  <imputation>Completeness of information - date of sterilization</imputation>
  <security>Completeness of information - date of sterilization</security>
  <embargo>Completeness of information - date of sterilization</embargo>
  <respUnit>Completeness of information - date of sterilization</respUnit>
  <qstn>
    <qstnLit>322) In what month and year was the sterilization operation performed?

MONTH: ___ (GO TO 336)
YEAR: ___ (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Month and year given</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Month imputed, year given</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Month given, year imputed (date placed)</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>No information given (date placed)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>From calendar</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERCOMP reports the completeness of information about the date of their sterilization.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPRADIOHR" name="W_FPRADIOHR" files="W" intrvl="discrete">
  <labl>Heard FP message on radio</labl>
  <imputation>Heard FP message on radio</imputation>
  <security>Heard FP message on radio</security>
  <embargo>Heard FP message on radio</embargo>
  <respUnit>Heard FP message on radio</respUnit>
  <qstn>
    <qstnLit>336) In the past month, have you heard a message about family planning on:

The radio?
The television?

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, only once</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, more than once</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPRADIOHR (V384A) indicates whether the woman heard family planning message(s) on the radio in the last few months. Some samples specify other periods of time. See Comparability.</txt>
  <concept>
    <title>Information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPTVHR" name="W_FPTVHR" files="W" intrvl="discrete">
  <labl>Heard FP message on TV recently</labl>
  <imputation>Heard FP message on TV recently</imputation>
  <security>Heard FP message on TV recently</security>
  <embargo>Heard FP message on TV recently</embargo>
  <respUnit>Heard FP message on TV recently</respUnit>
  <qstn>
    <qstnLit>336) In the past month, have you heard a message about family planning on:

The radio?
The television?

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTVHR (V384B) indicates whether the woman heard family planning message(s) on television in the last few months. Some samples specify other periods of time. See Comparability.</txt>
  <concept>
    <title>Information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPMEDIAOK" name="W_FPMEDIAOK" files="W" intrvl="discrete">
  <labl>Acceptability of FP message on radio or TV</labl>
  <imputation>Acceptability of FP message on radio or TV</imputation>
  <security>Acceptability of FP message on radio or TV</security>
  <embargo>Acceptability of FP message on radio or TV</embargo>
  <respUnit>Acceptability of FP message on radio or TV</respUnit>
  <qstn>
    <qstnLit>337) Do you find it acceptable or not that information about family planning is provided on the radio and in newspapers?

ACCEPTABLE 1
NOT ACCEPTABLE 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <labl>Not acceptable</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Acceptable</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>FPMEDIAOK (V366) indicates whether the woman considered family planning messages on radio or television to be acceptable or unacceptable.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>Information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPKNOMODSRC" name="W_FPKNOMODSRC" files="W" intrvl="discrete">
  <labl>Know source for modern FP method</labl>
  <imputation>Know source for modern FP method</imputation>
  <security>Know source for modern FP method</security>
  <embargo>Know source for modern FP method</embargo>
  <respUnit>Know source for modern FP method</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>Doesn't know source</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Knows source for modern method</labl>
  </catgry>
  <txt>FPKNOMODSRC (V303) indicates whether the woman knew of source from which she believed she could obtain a modern method of family planning.  Whether the source existed and whether it could supply the method was not verified.  

In the DHS, the following family planning methods are considered modern methods: Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPKNOSRCCON" name="W_FPKNOSRCCON" files="W" intrvl="discrete">
  <labl>Know source of information for condom: Yes or no</labl>
  <imputation>Know source of information for condom: Yes or no</imputation>
  <security>Know source of information for condom: Yes or no</security>
  <embargo>Know source of information for condom: Yes or no</embargo>
  <respUnit>Know source of information for condom: Yes or no</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Not asked</labl>
  </catgry>
  <txt>FPKNOSRCCON (V306_05) is a dichotomous variable indicating whether the woman knew a place someone could go to get a male condom to delay or avoid pregnancy.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPKNOSRCDIA" name="W_FPKNOSRCDIA" files="W" intrvl="discrete">
  <labl>Know source of information for diaphragm: Yes or no</labl>
  <imputation>Know source of information for diaphragm: Yes or no</imputation>
  <security>Know source of information for diaphragm: Yes or no</security>
  <embargo>Know source of information for diaphragm: Yes or no</embargo>
  <respUnit>Know source of information for diaphragm: Yes or no</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Not asked</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOSRCDIA (V306_04) is a dichotomous variable indicating whether the woman knew a place someone could go to get a diaphragm/foam/jelly to delay or avoid pregnancy.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPKNOSRCFST" name="W_FPKNOSRCFST" files="W" intrvl="discrete">
  <labl>Know source of information for female sterilization: Yes or no</labl>
  <imputation>Know source of information for female sterilization: Yes or no</imputation>
  <security>Know source of information for female sterilization: Yes or no</security>
  <embargo>Know source of information for female sterilization: Yes or no</embargo>
  <respUnit>Know source of information for female sterilization: Yes or no</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Not asked</labl>
  </catgry>
  <txt>FPKNOSRCFST (V306_06) is a dichotomous variable indicating whether the woman knew a place someone could go to get female sterilization to delay or avoid pregnancy.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPKNOSRCINJ" name="W_FPKNOSRCINJ" files="W" intrvl="discrete">
  <labl>Know source of information for injectable contraception: Yes or no</labl>
  <imputation>Know source of information for injectable contraception: Yes or no</imputation>
  <security>Know source of information for injectable contraception: Yes or no</security>
  <embargo>Know source of information for injectable contraception: Yes or no</embargo>
  <respUnit>Know source of information for injectable contraception: Yes or no</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Not asked</labl>
  </catgry>
  <txt>FPKNOSRCINJ (V306_03) is a dichotomous variable indicating whether the woman knew a place someone could go to get injectable contraception to delay or avoid pregnancy.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPKNOSRCIUD" name="W_FPKNOSRCIUD" files="W" intrvl="discrete">
  <labl>Know source of information for IUD: Yes or no</labl>
  <imputation>Know source of information for IUD: Yes or no</imputation>
  <security>Know source of information for IUD: Yes or no</security>
  <embargo>Know source of information for IUD: Yes or no</embargo>
  <respUnit>Know source of information for IUD: Yes or no</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Not asked</labl>
  </catgry>
  <txt>FPKNOSRCIUD (V306_02) is a dichotomous variable indicating whether the woman knew a place someone could go to get an IUD to delay or avoid pregnancy.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPKNOSRCMST" name="W_FPKNOSRCMST" files="W" intrvl="discrete">
  <labl>Know source of information for male sterilization: Yes or no</labl>
  <imputation>Know source of information for male sterilization: Yes or no</imputation>
  <security>Know source of information for male sterilization: Yes or no</security>
  <embargo>Know source of information for male sterilization: Yes or no</embargo>
  <respUnit>Know source of information for male sterilization: Yes or no</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Not asked</labl>
  </catgry>
  <txt>FPKNOSRCMST (V306_07) is a dichotomous variable indicating whether the woman knew a place someone could go to get male sterilization to delay or avoid pregnancy.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPKNOSRCPIL" name="W_FPKNOSRCPIL" files="W" intrvl="discrete">
  <labl>Know source of information for Pill: Yes or no</labl>
  <imputation>Know source of information for Pill: Yes or no</imputation>
  <security>Know source of information for Pill: Yes or no</security>
  <embargo>Know source of information for Pill: Yes or no</embargo>
  <respUnit>Know source of information for Pill: Yes or no</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOSRCPIL (V306_01) is a dichotomous variable indicating whether the woman knew a place someone could go to get the Pill to delay or avoid pregnancy.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPKNOSRCRHY" name="W_FPKNOSRCRHY" files="W" intrvl="discrete">
  <labl>Know source of information for rhythm: Yes or no</labl>
  <imputation>Know source of information for rhythm: Yes or no</imputation>
  <security>Know source of information for rhythm: Yes or no</security>
  <embargo>Know source of information for rhythm: Yes or no</embargo>
  <respUnit>Know source of information for rhythm: Yes or no</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Not asked</labl>
  </catgry>
  <txt>FPKNOSRCRHY (V306_08) is a dichotomous variable indicating whether the woman knew a place someone could go to learn about rhythm (periodic abstinence) to delay or avoid pregnancy.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPYNOTFUS" name="W_FPYNOTFUS" files="W" intrvl="discrete">
  <labl>Why not intend to use FP in future</labl>
  <imputation>Why not intend to use FP in future</imputation>
  <security>Why not intend to use FP in future</security>
  <embargo>Why not intend to use FP in future</embargo>
  <respUnit>Why not intend to use FP in future</respUnit>
  <qstn>
    <qstnLit>327) What is the main reason you do not intend to use a method?

WANTS CHILDREN 01 (GO TO 332)
LACK OF INFORMATION 02(GO TO 332)
PARTNER DISAPPROVES 03(GO TO 332)
COST TOO MUCH 04 (GO TO 332)
SIDE EFFECTS 05 (GO TO 332)
HEALTH PROBLEMS 06 (GO TO 332)
HARD TO GET METHODS 07(GO TO 332)
RELIGION 08(GO TO 332)
OPPOSED TO FAMILY PLANNING 09(GO TO 332)
FATALIST 10(GO TO 332)
OTHER PEOPLE OPPOSED 11(GO TO 332)
INFREQUENT SEX 12(GO TO 332)
DIFFICULT TO GET PREGNANT 13 (GO TO 332)
MENOPAUSAL/HAD HYSTERECTOMY 14 (GO TO 332)
INCONVENIENT 15 (GO TO 332)
UNMARRIED 16 (GO TO 332)
OTHER (SPECIFY): ___ 17 (GO TO 332)
DON'T KNOW 98 (GO TO 332)</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>NOT MARRIED</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Not married</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Not intending to marry</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Inconsistent says not married</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>OTHER LOW FERTILITY RISK</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Not having sex</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Infrequent sex</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Menopausal or hysterectomy</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Subfecund, infecund</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Postpartum, breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Husband ill or subfecund</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>WANTS CHILDREN</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Wants more children</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Wants son</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Wants daughter</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Fatalistic</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>Wants as many children as possible</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>OPPOSITION TO USE</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Respondent opposed</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Husband opposed/makes decision on FP</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Others opposed</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>Religious prohibition</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>Cultural taboos</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>Rumors</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>LACK OF KNOWLEDGE</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Knows no method</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Knows no source</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>METHOD-RELATED</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Health concerns</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>Fear side effects</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>Lack of access</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>Cost too much</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>Inconvenient to use</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>Interfere with body</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>Sterilization concerns</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women not now using a contraceptive method and not intending to do so in the future, FPYNOTFUS (V376) reports the reason the woman doesn't intend to use family planning in the future.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

Responses are grouped into the following broad categories, each with a different first digit: not married, other low fertility risk, wants children, opposition to use, lack of knowledge, method-related, and other. Specific responses within these categories are distinguished by the second digit of the codes.</txt>
  <concept>
    <title>Why not use family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPTYPPILL" name="W_FPTYPPILL" files="W" intrvl="discrete">
  <labl>Type of method: Pill</labl>
  <imputation>Type of method: Pill</imputation>
  <security>Type of method: Pill</security>
  <embargo>Type of method: Pill</embargo>
  <respUnit>Type of method: Pill</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPPILL (V304A_01) reports whether the Pill is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPPILL (V304A_01) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPTYPIUD" name="W_FPTYPIUD" files="W" intrvl="discrete">
  <labl>Type of method: IUD</labl>
  <imputation>Type of method: IUD</imputation>
  <security>Type of method: IUD</security>
  <embargo>Type of method: IUD</embargo>
  <respUnit>Type of method: IUD</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPIUD (V304A_02) reports whether the intrauterine device (IUD) is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPIUD (V304A_02) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPTYPINJ" name="W_FPTYPINJ" files="W" intrvl="discrete">
  <labl>Type of method: Injectables</labl>
  <imputation>Type of method: Injectables</imputation>
  <security>Type of method: Injectables</security>
  <embargo>Type of method: Injectables</embargo>
  <respUnit>Type of method: Injectables</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPINJ (V304A_03) reports whether injectable contraception is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPINJ (V304A_03) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPTYPDIA" name="W_FPTYPDIA" files="W" intrvl="discrete">
  <labl>Type of method: Diaphragm</labl>
  <imputation>Type of method: Diaphragm</imputation>
  <security>Type of method: Diaphragm</security>
  <embargo>Type of method: Diaphragm</embargo>
  <respUnit>Type of method: Diaphragm</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPDIA (V304A_04) reports whether diaphragm or spermicides, such as foam or jelly, is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. Some phases combine diaphragm and spermicides in the response and some are separate; see Comparability.

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability.

Additionally, while FPTYPDIA (V304A_04) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variableÂ FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPTYPCON" name="W_FPTYPCON" files="W" intrvl="discrete">
  <labl>Type of method: Condom</labl>
  <imputation>Type of method: Condom</imputation>
  <security>Type of method: Condom</security>
  <embargo>Type of method: Condom</embargo>
  <respUnit>Type of method: Condom</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPCON (V304A_05) reports whether the male condom is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample.

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPCON (V304A_05) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPTYPFST" name="W_FPTYPFST" files="W" intrvl="discrete">
  <labl>Type of method: Female sterilization</labl>
  <imputation>Type of method: Female sterilization</imputation>
  <security>Type of method: Female sterilization</security>
  <embargo>Type of method: Female sterilization</embargo>
  <respUnit>Type of method: Female sterilization</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPFST (V304A_06) reports whether female sterilization is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPFST (V304A_06) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPTYPMST" name="W_FPTYPMST" files="W" intrvl="discrete">
  <labl>Type of method: Male sterilization</labl>
  <imputation>Type of method: Male sterilization</imputation>
  <security>Type of method: Male sterilization</security>
  <embargo>Type of method: Male sterilization</embargo>
  <respUnit>Type of method: Male sterilization</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPMST (V304A_07) reports whether male sterilization is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPMST (V304A_07) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPTYPRHY" name="W_FPTYPRHY" files="W" intrvl="discrete">
  <labl>Type of method: Rhythm method</labl>
  <imputation>Type of method: Rhythm method</imputation>
  <security>Type of method: Rhythm method</security>
  <embargo>Type of method: Rhythm method</embargo>
  <respUnit>Type of method: Rhythm method</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPRHY (V304A_08) reports whether the rhythm method (periodic abstinence) is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample.

In the standard DHS recode manuals, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability.

Additionally, while FPTYPRHY (V304A_08) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPTYPWD" name="W_FPTYPWD" files="W" intrvl="discrete">
  <labl>Type of method: Withdrawal</labl>
  <imputation>Type of method: Withdrawal</imputation>
  <security>Type of method: Withdrawal</security>
  <embargo>Type of method: Withdrawal</embargo>
  <respUnit>Type of method: Withdrawal</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPWD (V304A_09) reports whether withdrawal is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample.

In the standard DHS recode manuals, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability.

Additionally, while FPTYPWD (V304A_09) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPTYPCHARM" name="W_FPTYPCHARM" files="W" intrvl="discrete">
  <labl>Type of method: Charms or amulets</labl>
  <imputation>Type of method: Charms or amulets</imputation>
  <security>Type of method: Charms or amulets</security>
  <embargo>Type of method: Charms or amulets</embargo>
  <respUnit>Type of method: Charms or amulets</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPCHARM reports whether a charm or amulet is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability. 

Additionally, while FPTYPCHARM and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPTYPRELIG" name="W_FPTYPRELIG" files="W" intrvl="discrete">
  <labl>Type of method: Religion (Marabout or coran)</labl>
  <imputation>Type of method: Religion (Marabout or coran)</imputation>
  <security>Type of method: Religion (Marabout or coran)</security>
  <embargo>Type of method: Religion (Marabout or coran)</embargo>
  <respUnit>Type of method: Religion (Marabout or coran)</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPRELIG reports whether the use of religion, such as a religious holy person or holy book, is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the standard DHS recode manuals, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability. 

Additionally, while FPTYPRELIG and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPTYPOM" name="W_FPTYPOM" files="W" intrvl="discrete">
  <labl>Type of method: Other method</labl>
  <imputation>Type of method: Other method</imputation>
  <security>Type of method: Other method</security>
  <embargo>Type of method: Other method</embargo>
  <respUnit>Type of method: Other method</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPOM (V304A_10) reports whether any "other" method reported by the woman is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. The meaning of "other" depends on the specific response categories included in a given sample.

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPOM (V304A_10) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FPTALKHUSNO" name="W_FPTALKHUSNO" files="W" intrvl="discrete">
  <labl>Number of times discussed FP with partner in past year</labl>
  <imputation>Number of times discussed FP with partner in past year</imputation>
  <security>Number of times discussed FP with partner in past year</security>
  <embargo>Number of times discussed FP with partner in past year</embargo>
  <respUnit>Number of times discussed FP with partner in past year</respUnit>
  <qstn>
    <qstnLit>611) How often have you talked to your husband/partner about this subject in the last 12 months?

NEVER 1
ONCE OR TWICE 2
MORE OFTEN 3</qstnLit>
  </qstn>
  <catgry>
    <labl>Never</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Once or twice</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>More often</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <txt>FPTALKHUSNO (V611) reports the number of the times the woman has recently discussed family planning with her husband/partner.</txt>
  <concept>
    <title>Discussion of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TIMESINCESEX" name="W_TIMESINCESEX" files="W" intrvl="discrete">
  <labl>Time since last intercourse</labl>
  <imputation>Time since last intercourse</imputation>
  <security>Time since last intercourse</security>
  <embargo>Time since last intercourse</embargo>
  <respUnit>Time since last intercourse</respUnit>
  <qstn>
    <qstnLit>516) When was the last time you had sexual intercourse?

DAYS: ___ 1
WEEKS: ___ 2
MONTHS: ___ 3
YEARS: ___ 4
BEFORE LAST BIRTH 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>154</catValu>
    <labl>54 days</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53 days</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52 days</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51 days</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50 days</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49 days</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48 days</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47 days</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46 days</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 days</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 days</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 days</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 days</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 days</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 day ago</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55 days</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56 days</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57 days</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58 days</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59 days</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60 days</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61 days</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62 days</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63 days</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64 days</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65 days</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66 days</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67 days</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68 days</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69 days</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70 days</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71 days</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72 days</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73 days</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74 days</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75 days</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76 days</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77 days</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78 days</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79 days</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80 days</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81 days</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82 days</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83 days</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84 days</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85 days</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86 days</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87 days</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88 days</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89 days</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90 days</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>91 days</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>92 days</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>93 days</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>94 days</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>95 days</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>96 days</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>97 days</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>Days, number inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days, number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>WEEKS</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 week</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 weeks</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 weeks</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 weeks</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 weeks</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 weeks</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 weeks</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 weeks</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 weeks</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 weeks</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 weeks</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 weeks</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 weeks</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 weeks</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 weeks</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 weeks</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 weeks</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 weeks</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 weeks</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 weeks</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 weeks</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 weeks</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 weeks</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 weeks</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 weeks</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 weeks</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 weeks</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 weeks</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 weeks</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 weeks</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 weeks</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 weeks</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 weeks</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 weeks</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35 weeks</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36 weeks</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37 weeks</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38 weeks</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39 weeks</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40 weeks</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41 weeks</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42 weeks</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43 weeks</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44 weeks</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45 weeks</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46 weeks</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47 weeks</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48 weeks</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49 weeks</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50 weeks</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51 weeks</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52 weeks</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>Weeks, inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Weeks, number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>MONTHS</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>337</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>338</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>339</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>341</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>342</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>343</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>344</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>345</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>346</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>347</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>348</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>349</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>352</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>353</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>354</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>355</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>356</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>357</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>358</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>359</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>361</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>362</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>363</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>364</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>365</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>366</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>367</catValu>
    <labl>67 months</labl>
  </catgry>
  <catgry>
    <catValu>368</catValu>
    <labl>68 months</labl>
  </catgry>
  <catgry>
    <catValu>369</catValu>
    <labl>69 months</labl>
  </catgry>
  <catgry>
    <catValu>370</catValu>
    <labl>70 months</labl>
  </catgry>
  <catgry>
    <catValu>371</catValu>
    <labl>71 months</labl>
  </catgry>
  <catgry>
    <catValu>372</catValu>
    <labl>72 months</labl>
  </catgry>
  <catgry>
    <catValu>373</catValu>
    <labl>73 months</labl>
  </catgry>
  <catgry>
    <catValu>374</catValu>
    <labl>74 months</labl>
  </catgry>
  <catgry>
    <catValu>375</catValu>
    <labl>75 months</labl>
  </catgry>
  <catgry>
    <catValu>376</catValu>
    <labl>76 months</labl>
  </catgry>
  <catgry>
    <catValu>377</catValu>
    <labl>77 months</labl>
  </catgry>
  <catgry>
    <catValu>378</catValu>
    <labl>78 months</labl>
  </catgry>
  <catgry>
    <catValu>379</catValu>
    <labl>79 months</labl>
  </catgry>
  <catgry>
    <catValu>380</catValu>
    <labl>80 months</labl>
  </catgry>
  <catgry>
    <catValu>381</catValu>
    <labl>81 months</labl>
  </catgry>
  <catgry>
    <catValu>382</catValu>
    <labl>82 months</labl>
  </catgry>
  <catgry>
    <catValu>383</catValu>
    <labl>83 months</labl>
  </catgry>
  <catgry>
    <catValu>384</catValu>
    <labl>84 months</labl>
  </catgry>
  <catgry>
    <catValu>385</catValu>
    <labl>85 months</labl>
  </catgry>
  <catgry>
    <catValu>386</catValu>
    <labl>86 months</labl>
  </catgry>
  <catgry>
    <catValu>387</catValu>
    <labl>87 months</labl>
  </catgry>
  <catgry>
    <catValu>388</catValu>
    <labl>88 months</labl>
  </catgry>
  <catgry>
    <catValu>389</catValu>
    <labl>89 months</labl>
  </catgry>
  <catgry>
    <catValu>390</catValu>
    <labl>90 months</labl>
  </catgry>
  <catgry>
    <catValu>391</catValu>
    <labl>91 months</labl>
  </catgry>
  <catgry>
    <catValu>392</catValu>
    <labl>92 months</labl>
  </catgry>
  <catgry>
    <catValu>393</catValu>
    <labl>93 months</labl>
  </catgry>
  <catgry>
    <catValu>394</catValu>
    <labl>94 months</labl>
  </catgry>
  <catgry>
    <catValu>395</catValu>
    <labl>95 months</labl>
  </catgry>
  <catgry>
    <catValu>396</catValu>
    <labl>96 months</labl>
  </catgry>
  <catgry>
    <catValu>397</catValu>
    <labl>97 months</labl>
  </catgry>
  <catgry>
    <catValu>398</catValu>
    <labl>Months, inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Months, number missing</labl>
  </catgry>
  <catgry>
    <catValu>400</catValu>
    <labl>YEARS</labl>
  </catgry>
  <catgry>
    <catValu>401</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>402</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>403</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>404</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>405</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>406</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>407</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>408</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>409</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>410</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>411</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>412</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>413</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>414</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>415</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>416</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>417</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>418</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>419</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>420</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>421</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>422</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>423</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>424</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>425</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>426</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>427</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>428</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>429</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>430</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>431</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>432</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>433</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>434</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>435</catValu>
    <labl>35 years</labl>
  </catgry>
  <catgry>
    <catValu>436</catValu>
    <labl>36 years</labl>
  </catgry>
  <catgry>
    <catValu>437</catValu>
    <labl>37 years</labl>
  </catgry>
  <catgry>
    <catValu>438</catValu>
    <labl>38 years</labl>
  </catgry>
  <catgry>
    <catValu>439</catValu>
    <labl>39 years</labl>
  </catgry>
  <catgry>
    <catValu>440</catValu>
    <labl>40 years</labl>
  </catgry>
  <catgry>
    <catValu>441</catValu>
    <labl>41 years</labl>
  </catgry>
  <catgry>
    <catValu>442</catValu>
    <labl>42 years</labl>
  </catgry>
  <catgry>
    <catValu>443</catValu>
    <labl>43 years</labl>
  </catgry>
  <catgry>
    <catValu>444</catValu>
    <labl>44 years</labl>
  </catgry>
  <catgry>
    <catValu>445</catValu>
    <labl>45 years</labl>
  </catgry>
  <catgry>
    <catValu>448</catValu>
    <labl>48 years</labl>
  </catgry>
  <catgry>
    <catValu>449</catValu>
    <labl>49 years</labl>
  </catgry>
  <catgry>
    <catValu>450</catValu>
    <labl>50+ years</labl>
  </catgry>
  <catgry>
    <catValu>499</catValu>
    <labl>Years, number missing</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>With former husband</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>Within last 4 weeks</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Before last birth</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>446</catValu>
    <labl>46 years</labl>
  </catgry>
  <catgry>
    <catValu>447</catValu>
    <labl>47 years</labl>
  </catgry>
  <txt>TIMESINCESEX (V527) reports how many days, weeks, months or years had passed since the woman had sexual intercourse with her most recent sexual partner.</txt>
  <concept>
    <title>Recent sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TIMESINCESEXD" name="W_TIMESINCESEXD" files="W" intrvl="discrete">
  <labl>Time since last intercourse in days</labl>
  <imputation>Time since last intercourse in days</imputation>
  <security>Time since last intercourse in days</security>
  <embargo>Time since last intercourse in days</embargo>
  <respUnit>Time since last intercourse in days</respUnit>
  <qstn>
    <qstnLit>516) When was the last time you had sexual intercourse?

DAYS: ___ 1
WEEKS: ___ 2
MONTHS: ___ 3
YEARS: ___ 4
BEFORE LAST BIRTH 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31+ days</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>Not married/no regular partner</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>Within last 4 weeks</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>Before last birth</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>With former husband</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TIMESINCESEXD (V528) reports the number of days that have passed since the respondent last had sexual intercourse. Durations of more than 30 days are grouped into "31+."

If the respondent reported having sexual intercourse in the last 4 weeks but replied that her last sexual intercourse was one month before the interview (in TIMESINCESEX (V527), this response is recoded to "30" in TIMESINCESEXD. In all other cases, a response of "One month" in TIMESINCESEX is coded as "31+."</txt>
  <concept>
    <title>Recent sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TIMESINCESEXM" name="W_TIMESINCESEXM" files="W" intrvl="discrete">
  <labl>Time since last intercourse in months (imputed)</labl>
  <imputation>Time since last intercourse in months (imputed)</imputation>
  <security>Time since last intercourse in months (imputed)</security>
  <embargo>Time since last intercourse in months (imputed)</embargo>
  <respUnit>Time since last intercourse in months (imputed)</respUnit>
  <qstn>
    <qstnLit>516) When was the last time you had sexual intercourse?

DAYS: ___ 1
WEEKS: ___ 2
MONTHS: ___ 3
YEARS: ___ 4
BEFORE LAST BIRTH 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>No partner</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>With former husband</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Before last birth</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TIMESINCESEXM (V529) reports the computed time (in months) since the respondent last had sexual intercourse. 

This variable's value is computed from the responses in TIMESINCESEX (V527), with durations exceeding the interval since the last birth recoded as "Before last birth."</txt>
  <concept>
    <title>Recent sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TIMESINCESEXFLAG" name="W_TIMESINCESEXFLAG" files="W" intrvl="discrete">
  <labl>Flag for time since last sex (months, imputed)</labl>
  <imputation>Flag for time since last sex (months, imputed)</imputation>
  <security>Flag for time since last sex (months, imputed)</security>
  <embargo>Flag for time since last sex (months, imputed)</embargo>
  <respUnit>Flag for time since last sex (months, imputed)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Duration greater than time since last birth and did not report pp abstinence</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Duration plus abstinence after last birth greater than time since last birth</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Reported, but did not resume sex after last birth</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Before last birth, but no births</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Before last birth, but currently pregnant</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Before last birth, but resumed sex after last birth</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported but before last pregnancy</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported but inconsistent with times had sex in past 4 weeks</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported but before last birth</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TIMESINCESEXFLAG (V530) is a flag variable reporting the type of problem found when editing responses about the time that has passed since the respondent last had sexual intercourse (in TIMESINCESEXM (V529)).

Below are descriptions of each code:

0 = No flag
1 = Duration reported is greater than the interval since the last birth, and the respondent did not say in the maternity section (PPABSTAINNOW (V406)) that she is still abstaining from sexual relations since her last birth
2 = Duration reported plus the duration of abstinence after the last birth (PPABMO_01 (M8_1)) is greater than the interval since the last birth
3 = Duration reported, but the respondent has not resumed sexual intercourse since the last birth
4 = Respondent reported last intercourse was before her last birth, but she has never given birth
5 = Respondent reported last intercourse was before her last birth, but she was currently pregnant (PREGNANT (V213).
6 = Respondent reported last intercourse was before her last birth, but she reported in the maternity section that she had resumed sexual intercourse after her last birth
7 = Respondent reported a duration since her last intercourse, but this would place her last intercourse before her last pregnancy
8 = Respondent reported a duration since her last intercourse, but this response was inconsistent with her response concerning the number of times she had sexual intercourse in the 4 weeks preceding the survey (SX4WKX (V526))
9 = Duration reported, but would place her last sexual intercourse before her last birth</txt>
  <concept>
    <title>Recent sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_SX4WKNO" name="W_SX4WKNO" files="W" intrvl="discrete">
  <labl>Times had sex in last 4 weeks</labl>
  <imputation>Times had sex in last 4 weeks</imputation>
  <security>Times had sex in last 4 weeks</security>
  <embargo>Times had sex in last 4 weeks</embargo>
  <respUnit>Times had sex in last 4 weeks</respUnit>
  <qstn>
    <qstnLit>514) Now we need some details about your sexual activity in order to get a better understanding of contraception and fertility.

How many times did you have sexual intercourse in the last four weeks?

NUMBER OF TIMES: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>95+</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>SX4WKNO (V526) reports the number of times the respondent had sexual intercourse in last 4 weeks.</txt>
  <concept>
    <title>Recent sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_SX4WKAVG" name="W_SX4WKAVG" files="W" intrvl="discrete">
  <labl>Times respondent usually has sex in a month</labl>
  <imputation>Times respondent usually has sex in a month</imputation>
  <security>Times respondent usually has sex in a month</security>
  <embargo>Times respondent usually has sex in a month</embargo>
  <respUnit>Times respondent usually has sex in a month</respUnit>
  <qstn>
    <qstnLit>515) How many times in a month do you usually have sexual intercourse?

NUMBER OF TIMES: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>95+</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>SX4WKAVG (V533) reports the number of times the respondent usually has sex in a month.</txt>
  <concept>
    <title>Recent sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGE1STSEX" name="W_AGE1STSEX" files="W" intrvl="discrete">
  <labl>Age at first intercourse</labl>
  <imputation>Age at first intercourse</imputation>
  <security>Age at first intercourse</security>
  <embargo>Age at first intercourse</embargo>
  <respUnit>Age at first intercourse</respUnit>
  <qstn>
    <qstnLit>517) How old were you when you first had sexual intercourse?

AGE: ___
FIRST TIME WHEN MARRIED 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Not had intercourse</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>Refused to respond</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>At first union</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>AGE1STSEX (V525) indicates the woman's self-reported age for the first time she had sexual intercourse.</txt>
  <concept>
    <title>First or ever sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGE1STSEXIMP" name="W_AGE1STSEXIMP" files="W" intrvl="discrete">
  <labl>Age at first intercourse (imputed)</labl>
  <imputation>Age at first intercourse (imputed)</imputation>
  <security>Age at first intercourse (imputed)</security>
  <embargo>Age at first intercourse (imputed)</embargo>
  <respUnit>Age at first intercourse (imputed)</respUnit>
  <qstn>
    <qstnLit>517) How old were you when you first had sexual intercourse?

AGE: ___
FIRST TIME WHEN MARRIED 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Not had sex</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Refused to respond</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>AGE1STSEXIMP (V531) reports the respondent's age at first sexual intercourse.

This variable is the same as AGE1STSEX (V525), except for women who reported their first sexual intercourse was at the time of their union. For these women, the age at first sex is taken from the age at first union. In cases where the age at first sex was inconsistent with the age at conception of the first child, but only by one year, the age at first sex was reduced by one year.</txt>
  <concept>
    <title>First or ever sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGE1STSEXFLAG" name="W_AGE1STSEXFLAG" files="W" intrvl="discrete">
  <labl>Flag for age at first intercourse</labl>
  <imputation>Flag for age at first intercourse</imputation>
  <security>Flag for age at first intercourse</security>
  <embargo>Flag for age at first intercourse</embargo>
  <respUnit>Flag for age at first intercourse</respUnit>
  <catgry>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>After interview</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>After conception by 1 year or more</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>After conception by less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>At marriage, but never married</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>At marriage, but after conception</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>After marriage</labl>
  </catgry>
  <txt>AGE1STSEXFLAG (V532) is a flag variable reporting the type of inconsistency found when editing responses about when the respondent first had sexual intercourse.

Below are descriptions of each code:

0 = No flag
1 = Respondent reported age at first sexual intercourse that exceeds her current age (AGE (V012))
2 = Respondent reported her age at first sexual intercourse as occurring more than one year after the conception of her first child
3 = Respondent reported her age at first sexual intercourse as occurring up to one year after the conception of her first child
4 = Respondent reported that her first sexual intercourse was at the time of her first marriage, but the respondent was never married (EVERMARRIED (V535))
5 = Respondent reported that her first sexual intercourse was at the time of her first marriage, but her first marriage occurred after the conception of her first child
6 = Respondent reported her first sexual intercourse as being some time after her first marriage</txt>
  <concept>
    <title>First or ever sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELDOC_ALL" name="W_DELDOC_ALL" files="W" intrvl="discrete">
  <labl>Doctor gave delivery care</labl>
  <imputation>Doctor gave delivery care</imputation>
  <security>Doctor gave delivery care</security>
  <embargo>Doctor gave delivery care</embargo>
  <respUnit>Doctor gave delivery care</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>DELDOC_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, DELDOC_ALL (M3A_x) indicates whether a doctor gave delivery care. Women could report more than one type of healthcare (or traditional) provider. 

DELDOC_ALL consists of a set of six separate variables, covering the most recent birth (DELDOC_01) up to the sixth-most-recent birth (i.e., DELDOC_02, DELDOC_03, DELDOC_04, DELDOC_05, and DELDOC_06) during the reference period prior to the survey.  If DELDOC_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then DELDOC_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELDOC_01" name="W_DELDOC_01" files="W" intrvl="discrete">
  <labl>Doctor gave delivery care for last birth</labl>
  <imputation>Doctor gave delivery care for last birth</imputation>
  <security>Doctor gave delivery care for last birth</security>
  <embargo>Doctor gave delivery care for last birth</embargo>
  <respUnit>Doctor gave delivery care for last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, DELDOC_01 (M3A_1) indicates whether a doctor gave delivery care (for the last birth).

Women could report more than one type of healthcare (or traditional) provider.</txt>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELDOC_02" name="W_DELDOC_02" files="W" intrvl="discrete">
  <labl>Doctor gave delivery care (second to last birth)</labl>
  <imputation>Doctor gave delivery care (second to last birth)</imputation>
  <security>Doctor gave delivery care (second to last birth)</security>
  <embargo>Doctor gave delivery care (second to last birth)</embargo>
  <respUnit>Doctor gave delivery care (second to last birth)</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELDOC_03" name="W_DELDOC_03" files="W" intrvl="discrete">
  <labl>Doctor gave delivery care (third to last birth)</labl>
  <imputation>Doctor gave delivery care (third to last birth)</imputation>
  <security>Doctor gave delivery care (third to last birth)</security>
  <embargo>Doctor gave delivery care (third to last birth)</embargo>
  <respUnit>Doctor gave delivery care (third to last birth)</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELDOC_04" name="W_DELDOC_04" files="W" intrvl="discrete">
  <labl>Doctor gave delivery care (fourth to last birth)</labl>
  <imputation>Doctor gave delivery care (fourth to last birth)</imputation>
  <security>Doctor gave delivery care (fourth to last birth)</security>
  <embargo>Doctor gave delivery care (fourth to last birth)</embargo>
  <respUnit>Doctor gave delivery care (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELDOC_05" name="W_DELDOC_05" files="W" intrvl="discrete">
  <labl>Doctor gave delivery care (fifth to last birth)</labl>
  <imputation>Doctor gave delivery care (fifth to last birth)</imputation>
  <security>Doctor gave delivery care (fifth to last birth)</security>
  <embargo>Doctor gave delivery care (fifth to last birth)</embargo>
  <respUnit>Doctor gave delivery care (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELDOC_06" name="W_DELDOC_06" files="W" intrvl="discrete">
  <labl>Doctor gave delivery care (sixth to last birth)</labl>
  <imputation>Doctor gave delivery care (sixth to last birth)</imputation>
  <security>Doctor gave delivery care (sixth to last birth)</security>
  <embargo>Doctor gave delivery care (sixth to last birth)</embargo>
  <respUnit>Doctor gave delivery care (sixth to last birth)</respUnit>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELNURM_ALL" name="W_DELNURM_ALL" files="W" intrvl="discrete">
  <labl>Nurse/midwife gave delivery care</labl>
  <imputation>Nurse/midwife gave delivery care</imputation>
  <security>Nurse/midwife gave delivery care</security>
  <embargo>Nurse/midwife gave delivery care</embargo>
  <respUnit>Nurse/midwife gave delivery care</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>DELNURM_ALL available</labl>
  </catgry>
  <txt>For children born in the three to five years preceding the survey, DELNURM_ALL (M3B_x) indicates whether a nurse or midwife (categories combined or not distinguished) assisted with the child's delivery.

DELNURM_ALL consists of a set of six separate variables, covering the most recent birth (DELNURM_01) up to the sixth-most-recent birth (i.e., DELNURM_02, DELNURM_03, DELNURM_04, DELNURM_05, and DELNURM_06) during the reference period prior to the survey.  If DELNURM_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then DELNURM_06 would not be available for that survey in IPUMS-DHS. 

Some samples in the "DEL" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as DELNURM_ALL, while preserving the separate responses in country-specific variables.

For example, a given sample might include separate categories for nurse and midwife that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories in this variable.</txt>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELNURM_01" name="W_DELNURM_01" files="W" intrvl="discrete">
  <labl>Nurse/midwife gave delivery care for last birth</labl>
  <imputation>Nurse/midwife gave delivery care for last birth</imputation>
  <security>Nurse/midwife gave delivery care for last birth</security>
  <embargo>Nurse/midwife gave delivery care for last birth</embargo>
  <respUnit>Nurse/midwife gave delivery care for last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, DELNURM_01 (M3B_1) indicates whether, in response to an open-ended question, they reported a nurse or midwife (categories combined or not distinguished) gave delivery care (for the last birth).

Some samples in the "DEL" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as DELNURM_01, while preserving the separate responses in country-specific variables.

For example, a given sample might include separate categories for nurse and midwife that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories in this variable.</txt>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELNURM_02" name="W_DELNURM_02" files="W" intrvl="discrete">
  <labl>Nurse/midwife gave delivery care for second to last birth</labl>
  <imputation>Nurse/midwife gave delivery care for second to last birth</imputation>
  <security>Nurse/midwife gave delivery care for second to last birth</security>
  <embargo>Nurse/midwife gave delivery care for second to last birth</embargo>
  <respUnit>Nurse/midwife gave delivery care for second to last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELNURM_03" name="W_DELNURM_03" files="W" intrvl="discrete">
  <labl>Nurse/midwife gave delivery care for third to last birth</labl>
  <imputation>Nurse/midwife gave delivery care for third to last birth</imputation>
  <security>Nurse/midwife gave delivery care for third to last birth</security>
  <embargo>Nurse/midwife gave delivery care for third to last birth</embargo>
  <respUnit>Nurse/midwife gave delivery care for third to last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELNURM_04" name="W_DELNURM_04" files="W" intrvl="discrete">
  <labl>Nurse/midwife gave delivery care for fourth to last birth</labl>
  <imputation>Nurse/midwife gave delivery care for fourth to last birth</imputation>
  <security>Nurse/midwife gave delivery care for fourth to last birth</security>
  <embargo>Nurse/midwife gave delivery care for fourth to last birth</embargo>
  <respUnit>Nurse/midwife gave delivery care for fourth to last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELNURM_05" name="W_DELNURM_05" files="W" intrvl="discrete">
  <labl>Nurse/midwife gave delivery care for fifth to last birth</labl>
  <imputation>Nurse/midwife gave delivery care for fifth to last birth</imputation>
  <security>Nurse/midwife gave delivery care for fifth to last birth</security>
  <embargo>Nurse/midwife gave delivery care for fifth to last birth</embargo>
  <respUnit>Nurse/midwife gave delivery care for fifth to last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELNURM_06" name="W_DELNURM_06" files="W" intrvl="discrete">
  <labl>Nurse/midwife gave delivery care for sixth to last birth</labl>
  <imputation>Nurse/midwife gave delivery care for sixth to last birth</imputation>
  <security>Nurse/midwife gave delivery care for sixth to last birth</security>
  <embargo>Nurse/midwife gave delivery care for sixth to last birth</embargo>
  <respUnit>Nurse/midwife gave delivery care for sixth to last birth</respUnit>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELTBA_ALL" name="W_DELTBA_ALL" files="W" intrvl="discrete">
  <labl>Traditional birth attendant gave delivery care</labl>
  <imputation>Traditional birth attendant gave delivery care</imputation>
  <security>Traditional birth attendant gave delivery care</security>
  <embargo>Traditional birth attendant gave delivery care</embargo>
  <respUnit>Traditional birth attendant gave delivery care</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>DELTBA_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, DELTBA_ALL (M3G_x) indicates whether a traditional birth attendant gave delivery care. Women could report more than one type of healthcare (or traditional) provider. Wording for this response category varied across samples. See Comparability.

DELTBA_ALL consists of a set of six separate variables, covering the most recent birth (DELTBA_01) up to the sixth-most-recent birth (i.e., DELTBA_02, DELTBA_03, DELTBA_04, DELTBA_05, and DELTBA_06) during the reference period prior to the survey.  If DELTBA_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then DELTBA_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELTBA_01" name="W_DELTBA_01" files="W" intrvl="discrete">
  <labl>Traditional birth attendant gave delivery care for last birth</labl>
  <imputation>Traditional birth attendant gave delivery care for last birth</imputation>
  <security>Traditional birth attendant gave delivery care for last birth</security>
  <embargo>Traditional birth attendant gave delivery care for last birth</embargo>
  <respUnit>Traditional birth attendant gave delivery care for last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, DELTBA_01 (M3G_1) indicates whether a traditional birth attendant gave delivery care (for the last birth). Wording for this response category varied across samples. See Comparability.

Women could report more than one type of healthcare (or traditional) provider.</txt>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELTBA_02" name="W_DELTBA_02" files="W" intrvl="discrete">
  <labl>Traditional birth attendant gave delivery care for second to last birth</labl>
  <imputation>Traditional birth attendant gave delivery care for second to last birth</imputation>
  <security>Traditional birth attendant gave delivery care for second to last birth</security>
  <embargo>Traditional birth attendant gave delivery care for second to last birth</embargo>
  <respUnit>Traditional birth attendant gave delivery care for second to last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELTBA_03" name="W_DELTBA_03" files="W" intrvl="discrete">
  <labl>Traditional birth attendant gave delivery care for third to last birth</labl>
  <imputation>Traditional birth attendant gave delivery care for third to last birth</imputation>
  <security>Traditional birth attendant gave delivery care for third to last birth</security>
  <embargo>Traditional birth attendant gave delivery care for third to last birth</embargo>
  <respUnit>Traditional birth attendant gave delivery care for third to last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELTBA_04" name="W_DELTBA_04" files="W" intrvl="discrete">
  <labl>Traditional birth attendant gave delivery care for fourth to last birth</labl>
  <imputation>Traditional birth attendant gave delivery care for fourth to last birth</imputation>
  <security>Traditional birth attendant gave delivery care for fourth to last birth</security>
  <embargo>Traditional birth attendant gave delivery care for fourth to last birth</embargo>
  <respUnit>Traditional birth attendant gave delivery care for fourth to last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELTBA_05" name="W_DELTBA_05" files="W" intrvl="discrete">
  <labl>Traditional birth attendant gave delivery care for fifth to last birth</labl>
  <imputation>Traditional birth attendant gave delivery care for fifth to last birth</imputation>
  <security>Traditional birth attendant gave delivery care for fifth to last birth</security>
  <embargo>Traditional birth attendant gave delivery care for fifth to last birth</embargo>
  <respUnit>Traditional birth attendant gave delivery care for fifth to last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELTBA_06" name="W_DELTBA_06" files="W" intrvl="discrete">
  <labl>Traditional birth attendant gave delivery care for sixth to last birth</labl>
  <imputation>Traditional birth attendant gave delivery care for sixth to last birth</imputation>
  <security>Traditional birth attendant gave delivery care for sixth to last birth</security>
  <embargo>Traditional birth attendant gave delivery care for sixth to last birth</embargo>
  <respUnit>Traditional birth attendant gave delivery care for sixth to last birth</respUnit>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELTRBA_ALL" name="W_DELTRBA_ALL" files="W" intrvl="discrete">
  <labl>Trained traditional birth attendant gave delivery care</labl>
  <imputation>Trained traditional birth attendant gave delivery care</imputation>
  <security>Trained traditional birth attendant gave delivery care</security>
  <embargo>Trained traditional birth attendant gave delivery care</embargo>
  <respUnit>Trained traditional birth attendant gave delivery care</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>DELTRBA_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, DELTRBA_ALL (M3F_x) indicates whether a trained (traditional) birth attendant gave delivery care. Wording for this category varied across samples. See Comparability. Women could report more than one type of healthcare (or traditional) provider. 

DELTRBA_ALL consists of a set of six separate variables, covering the most recent birth (DELTRBA_01) up to the sixth-most-recent birth (i.e., DELTRBA_02, DELTRBA_03, DELTRBA_04, DELTRBA_05, and DELTRBA_06) during the reference period prior to the survey.  If DELTRBA_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then DELTRBA_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELTRBA_01" name="W_DELTRBA_01" files="W" intrvl="discrete">
  <labl>Trained traditional birth attendant gave delivery care for last birth</labl>
  <imputation>Trained traditional birth attendant gave delivery care for last birth</imputation>
  <security>Trained traditional birth attendant gave delivery care for last birth</security>
  <embargo>Trained traditional birth attendant gave delivery care for last birth</embargo>
  <respUnit>Trained traditional birth attendant gave delivery care for last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, DELTRBA_01 (M3F_1) indicates whether a trained (traditional) birth attendant gave delivery care (for the last birth). Wording for this category varied across samples. See Comparability.

Women could report more than one type of healthcare (or traditional) provider.</txt>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELTRBA_02" name="W_DELTRBA_02" files="W" intrvl="discrete">
  <labl>Trained traditional birth attendant gave delivery care for second to last birth</labl>
  <imputation>Trained traditional birth attendant gave delivery care for second to last birth</imputation>
  <security>Trained traditional birth attendant gave delivery care for second to last birth</security>
  <embargo>Trained traditional birth attendant gave delivery care for second to last birth</embargo>
  <respUnit>Trained traditional birth attendant gave delivery care for second to last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELTRBA_03" name="W_DELTRBA_03" files="W" intrvl="discrete">
  <labl>Trained traditional birth attendant gave delivery care for third to last birth</labl>
  <imputation>Trained traditional birth attendant gave delivery care for third to last birth</imputation>
  <security>Trained traditional birth attendant gave delivery care for third to last birth</security>
  <embargo>Trained traditional birth attendant gave delivery care for third to last birth</embargo>
  <respUnit>Trained traditional birth attendant gave delivery care for third to last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELTRBA_04" name="W_DELTRBA_04" files="W" intrvl="discrete">
  <labl>Trained traditional birth attendant gave delivery care for fourth to last birth</labl>
  <imputation>Trained traditional birth attendant gave delivery care for fourth to last birth</imputation>
  <security>Trained traditional birth attendant gave delivery care for fourth to last birth</security>
  <embargo>Trained traditional birth attendant gave delivery care for fourth to last birth</embargo>
  <respUnit>Trained traditional birth attendant gave delivery care for fourth to last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELTRBA_05" name="W_DELTRBA_05" files="W" intrvl="discrete">
  <labl>Trained traditional birth attendant gave delivery care for fifth to last birth</labl>
  <imputation>Trained traditional birth attendant gave delivery care for fifth to last birth</imputation>
  <security>Trained traditional birth attendant gave delivery care for fifth to last birth</security>
  <embargo>Trained traditional birth attendant gave delivery care for fifth to last birth</embargo>
  <respUnit>Trained traditional birth attendant gave delivery care for fifth to last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELTRBA_06" name="W_DELTRBA_06" files="W" intrvl="discrete">
  <labl>Trained traditional birth attendant gave delivery care for sixth to last birth</labl>
  <imputation>Trained traditional birth attendant gave delivery care for sixth to last birth</imputation>
  <security>Trained traditional birth attendant gave delivery care for sixth to last birth</security>
  <embargo>Trained traditional birth attendant gave delivery care for sixth to last birth</embargo>
  <respUnit>Trained traditional birth attendant gave delivery care for sixth to last birth</respUnit>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELREL_ALL" name="W_DELREL_ALL" files="W" intrvl="discrete">
  <labl>Relative gave delivery care</labl>
  <imputation>Relative gave delivery care</imputation>
  <security>Relative gave delivery care</security>
  <embargo>Relative gave delivery care</embargo>
  <respUnit>Relative gave delivery care</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>DELREL_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, DELREL_ALL (M3H_x) indicates whether a relative gave delivery care. Women could report more than one type of healthcare (or traditional) provider. 

DELREL_ALL consists of a set of six separate variables, covering the most recent birth (DELREL_01) up to the sixth-most-recent birth (i.e., DELREL_02, DELREL_03, DELREL_04, DELREL_05, and DELREL_06) during the reference period prior to the survey.  If DELREL_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then DELREL_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELREL_01" name="W_DELREL_01" files="W" intrvl="discrete">
  <labl>Relative gave delivery care for last birth</labl>
  <imputation>Relative gave delivery care for last birth</imputation>
  <security>Relative gave delivery care for last birth</security>
  <embargo>Relative gave delivery care for last birth</embargo>
  <respUnit>Relative gave delivery care for last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, DELREL_01 (M3H_1) indicates whether a relative gave delivery care (for the last birth). 

Women could report more than one type of healthcare (or traditional) provider.</txt>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELREL_02" name="W_DELREL_02" files="W" intrvl="discrete">
  <labl>Relative gave delivery care for second to last birth</labl>
  <imputation>Relative gave delivery care for second to last birth</imputation>
  <security>Relative gave delivery care for second to last birth</security>
  <embargo>Relative gave delivery care for second to last birth</embargo>
  <respUnit>Relative gave delivery care for second to last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELREL_03" name="W_DELREL_03" files="W" intrvl="discrete">
  <labl>Relative gave delivery care for third to last birth</labl>
  <imputation>Relative gave delivery care for third to last birth</imputation>
  <security>Relative gave delivery care for third to last birth</security>
  <embargo>Relative gave delivery care for third to last birth</embargo>
  <respUnit>Relative gave delivery care for third to last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELREL_04" name="W_DELREL_04" files="W" intrvl="discrete">
  <labl>Relative gave delivery care for fourth to last birth</labl>
  <imputation>Relative gave delivery care for fourth to last birth</imputation>
  <security>Relative gave delivery care for fourth to last birth</security>
  <embargo>Relative gave delivery care for fourth to last birth</embargo>
  <respUnit>Relative gave delivery care for fourth to last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELREL_05" name="W_DELREL_05" files="W" intrvl="discrete">
  <labl>Relative gave delivery care for fifth to last birth</labl>
  <imputation>Relative gave delivery care for fifth to last birth</imputation>
  <security>Relative gave delivery care for fifth to last birth</security>
  <embargo>Relative gave delivery care for fifth to last birth</embargo>
  <respUnit>Relative gave delivery care for fifth to last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELREL_06" name="W_DELREL_06" files="W" intrvl="discrete">
  <labl>Relative gave delivery care for sixth to last birth</labl>
  <imputation>Relative gave delivery care for sixth to last birth</imputation>
  <security>Relative gave delivery care for sixth to last birth</security>
  <embargo>Relative gave delivery care for sixth to last birth</embargo>
  <respUnit>Relative gave delivery care for sixth to last birth</respUnit>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELOTH_ALL" name="W_DELOTH_ALL" files="W" intrvl="discrete">
  <labl>Other person gave delivery care</labl>
  <imputation>Other person gave delivery care</imputation>
  <security>Other person gave delivery care</security>
  <embargo>Other person gave delivery care</embargo>
  <respUnit>Other person gave delivery care</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>DELOTH_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, DELOTH_ALL (M3K_x) indicates whether some other person gave delivery care. The meaning of "other" must be interpreted relative to the specific categories included in a given sample. Women could report more than one type of healthcare (or traditional) provider. 

DELOTH_ALL consists of a set of six separate variables, covering the most recent birth (DELOTH_01) up to the sixth-most-recent birth (i.e., DELOTH_02, DELOTH_03, DELOTH_04, DELOTH_05, and DELOTH_06) during the reference period prior to the survey.  If DELOTH_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then DELOTH_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELOTH_01" name="W_DELOTH_01" files="W" intrvl="discrete">
  <labl>Other person gave delivery care for last birth</labl>
  <imputation>Other person gave delivery care for last birth</imputation>
  <security>Other person gave delivery care for last birth</security>
  <embargo>Other person gave delivery care for last birth</embargo>
  <respUnit>Other person gave delivery care for last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, DELOTH_01 (M3K_1) indicates whether some other person gave delivery care (for the last birth). The meaning of "other" must be interpreted relative to the specific categories included in a given sample. 

Women could report more than one type of healthcare (or traditional) provider.</txt>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELOTH_02" name="W_DELOTH_02" files="W" intrvl="discrete">
  <labl>Other person gave delivery care for second to last birth</labl>
  <imputation>Other person gave delivery care for second to last birth</imputation>
  <security>Other person gave delivery care for second to last birth</security>
  <embargo>Other person gave delivery care for second to last birth</embargo>
  <respUnit>Other person gave delivery care for second to last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELOTH_03" name="W_DELOTH_03" files="W" intrvl="discrete">
  <labl>Other person gave delivery care for third to last birth</labl>
  <imputation>Other person gave delivery care for third to last birth</imputation>
  <security>Other person gave delivery care for third to last birth</security>
  <embargo>Other person gave delivery care for third to last birth</embargo>
  <respUnit>Other person gave delivery care for third to last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELOTH_04" name="W_DELOTH_04" files="W" intrvl="discrete">
  <labl>Other person gave delivery care for fourth to last birth</labl>
  <imputation>Other person gave delivery care for fourth to last birth</imputation>
  <security>Other person gave delivery care for fourth to last birth</security>
  <embargo>Other person gave delivery care for fourth to last birth</embargo>
  <respUnit>Other person gave delivery care for fourth to last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELOTH_05" name="W_DELOTH_05" files="W" intrvl="discrete">
  <labl>Other person gave delivery care for fifth to last birth</labl>
  <imputation>Other person gave delivery care for fifth to last birth</imputation>
  <security>Other person gave delivery care for fifth to last birth</security>
  <embargo>Other person gave delivery care for fifth to last birth</embargo>
  <respUnit>Other person gave delivery care for fifth to last birth</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELOTH_06" name="W_DELOTH_06" files="W" intrvl="discrete">
  <labl>Other person gave delivery care for sixth to last birth</labl>
  <imputation>Other person gave delivery care for sixth to last birth</imputation>
  <security>Other person gave delivery care for sixth to last birth</security>
  <embargo>Other person gave delivery care for sixth to last birth</embargo>
  <respUnit>Other person gave delivery care for sixth to last birth</respUnit>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELNONE_ALL" name="W_DELNONE_ALL" files="W" intrvl="discrete">
  <labl>No one gave delivery care</labl>
  <imputation>No one gave delivery care</imputation>
  <security>No one gave delivery care</security>
  <embargo>No one gave delivery care</embargo>
  <respUnit>No one gave delivery care</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>DELNONE_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, DELNONE_ALL (M3N_x) indicates whether no one assisted with the delivery.

DELNONE_ALL consists of a set of six separate variables, covering the most recent birth (DELNONE_01) up to the sixth-most-recent birth (i.e., DELNONE_02, DELNONE_03, DELNONE_04, DELNONE_05, and DELNONE_06) during the reference period prior to the survey. If DELNONE_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then DELNONE_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELNONE_01" name="W_DELNONE_01" files="W" intrvl="discrete">
  <labl>No one gave delivery care (last birth)</labl>
  <imputation>No one gave delivery care (last birth)</imputation>
  <security>No one gave delivery care (last birth)</security>
  <embargo>No one gave delivery care (last birth)</embargo>
  <respUnit>No one gave delivery care (last birth)</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, DELNONE_01 (M3N_1) indicates whether no one assisted with delivery (for the last birth).</txt>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELNONE_02" name="W_DELNONE_02" files="W" intrvl="discrete">
  <labl>No one gave delivery care (second to last birth)</labl>
  <imputation>No one gave delivery care (second to last birth)</imputation>
  <security>No one gave delivery care (second to last birth)</security>
  <embargo>No one gave delivery care (second to last birth)</embargo>
  <respUnit>No one gave delivery care (second to last birth)</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELNONE_03" name="W_DELNONE_03" files="W" intrvl="discrete">
  <labl>No one gave delivery care (third to last birth)</labl>
  <imputation>No one gave delivery care (third to last birth)</imputation>
  <security>No one gave delivery care (third to last birth)</security>
  <embargo>No one gave delivery care (third to last birth)</embargo>
  <respUnit>No one gave delivery care (third to last birth)</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELNONE_04" name="W_DELNONE_04" files="W" intrvl="discrete">
  <labl>No one gave delivery care (fourth to last birth)</labl>
  <imputation>No one gave delivery care (fourth to last birth)</imputation>
  <security>No one gave delivery care (fourth to last birth)</security>
  <embargo>No one gave delivery care (fourth to last birth)</embargo>
  <respUnit>No one gave delivery care (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELNONE_05" name="W_DELNONE_05" files="W" intrvl="discrete">
  <labl>No one gave delivery care (fifth to last birth)</labl>
  <imputation>No one gave delivery care (fifth to last birth)</imputation>
  <security>No one gave delivery care (fifth to last birth)</security>
  <embargo>No one gave delivery care (fifth to last birth)</embargo>
  <respUnit>No one gave delivery care (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELNONE_06" name="W_DELNONE_06" files="W" intrvl="discrete">
  <labl>No one gave delivery care (sixth to last birth)</labl>
  <imputation>No one gave delivery care (sixth to last birth)</imputation>
  <security>No one gave delivery care (sixth to last birth)</security>
  <embargo>No one gave delivery care (sixth to last birth)</embargo>
  <respUnit>No one gave delivery care (sixth to last birth)</respUnit>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELCESRLAST" name="W_DELCESRLAST" files="W" intrvl="discrete">
  <labl>Last birth caesarean section</labl>
  <imputation>Last birth caesarean section</imputation>
  <security>Last birth caesarean section</security>
  <embargo>Last birth caesarean section</embargo>
  <respUnit>Last birth caesarean section</respUnit>
  <qstn>
    <qstnLit>414) Was (NAME) delivered by caesarian section?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the three to five years before the survey, DELCESRLAST (V401) indicates whether the last-born child was delivered by caesarean section. 

When children or births are the unit of analysis, this variable describes a characteristic of the mother, which causes allchildren of the mother to be coded the same way.

Question wording varies slightly across samples. See Comparability.</txt>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELCESR_ALL" name="W_DELCESR_ALL" files="W" intrvl="discrete">
  <labl>Delivery by caesarian section</labl>
  <imputation>Delivery by caesarian section</imputation>
  <security>Delivery by caesarian section</security>
  <embargo>Delivery by caesarian section</embargo>
  <respUnit>Delivery by caesarian section</respUnit>
  <qstn>
    <qstnLit>414) Was (NAME) delivered by caesarian section?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>DELCESR_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, DELCESR_ALL (M17_x) indicates whether their child was born by caesarian section. Question wording varied somewhat across samples; see Comparability. 

DELCESR_ALL consists of a set of up to six separate variables, covering the most recent birth (DELCESR_01) up to, potentially, the sixth-most-recent birth (i.e., DELCESR_02, DELCESR_03, DELCESR_04, DELCESR_05, and DELCESR_06) during the reference period prior to the survey.  If DELCESR_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

This information was collected for all births within the reference period preceding the survey. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then DELCESR_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELCESR_01" name="W_DELCESR_01" files="W" intrvl="discrete">
  <labl>Delivery by caesarian section (last birth)</labl>
  <imputation>Delivery by caesarian section (last birth)</imputation>
  <security>Delivery by caesarian section (last birth)</security>
  <embargo>Delivery by caesarian section (last birth)</embargo>
  <respUnit>Delivery by caesarian section (last birth)</respUnit>
  <qstn>
    <qstnLit>414) Was (NAME) delivered by caesarian section?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, DELCESR_01 (M17_1) indicates whether the child was born by caesarian section (for the last birth). Question wording varied somewhat across samples. See Comparability.</txt>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELCESR_02" name="W_DELCESR_02" files="W" intrvl="discrete">
  <labl>Delivery by caesarian section (second to last birth)</labl>
  <imputation>Delivery by caesarian section (second to last birth)</imputation>
  <security>Delivery by caesarian section (second to last birth)</security>
  <embargo>Delivery by caesarian section (second to last birth)</embargo>
  <respUnit>Delivery by caesarian section (second to last birth)</respUnit>
  <qstn>
    <qstnLit>414) Was (NAME) delivered by caesarian section?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELCESR_03" name="W_DELCESR_03" files="W" intrvl="discrete">
  <labl>Delivery by caesarian section (third to last birth)</labl>
  <imputation>Delivery by caesarian section (third to last birth)</imputation>
  <security>Delivery by caesarian section (third to last birth)</security>
  <embargo>Delivery by caesarian section (third to last birth)</embargo>
  <respUnit>Delivery by caesarian section (third to last birth)</respUnit>
  <qstn>
    <qstnLit>414) Was (NAME) delivered by caesarian section?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELCESR_04" name="W_DELCESR_04" files="W" intrvl="discrete">
  <labl>Delivery by caesarian section (fourth to last birth)</labl>
  <imputation>Delivery by caesarian section (fourth to last birth)</imputation>
  <security>Delivery by caesarian section (fourth to last birth)</security>
  <embargo>Delivery by caesarian section (fourth to last birth)</embargo>
  <respUnit>Delivery by caesarian section (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>414) Was (NAME) delivered by caesarian section?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELCESR_05" name="W_DELCESR_05" files="W" intrvl="discrete">
  <labl>Delivery by caesarian section (fifth to last birth)</labl>
  <imputation>Delivery by caesarian section (fifth to last birth)</imputation>
  <security>Delivery by caesarian section (fifth to last birth)</security>
  <embargo>Delivery by caesarian section (fifth to last birth)</embargo>
  <respUnit>Delivery by caesarian section (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>414) Was (NAME) delivered by caesarian section?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELCESR_06" name="W_DELCESR_06" files="W" intrvl="discrete">
  <labl>Delivery by caesarian section (sixth to last birth)</labl>
  <imputation>Delivery by caesarian section (sixth to last birth)</imputation>
  <security>Delivery by caesarian section (sixth to last birth)</security>
  <embargo>Delivery by caesarian section (sixth to last birth)</embargo>
  <respUnit>Delivery by caesarian section (sixth to last birth)</respUnit>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELPL_ALL" name="W_DELPL_ALL" files="W" intrvl="discrete">
  <labl>Place of delivery</labl>
  <imputation>Place of delivery</imputation>
  <security>Place of delivery</security>
  <embargo>Place of delivery</embargo>
  <respUnit>Place of delivery</respUnit>
  <qstn>
    <qstnLit>411) Where did you give birth to (NAME)?

HOME

YOUR HOME 11
OTHER HOME 12

PUBLIC SECTOR

HOSPITAL 21
MATERNITY WARD 22
DISPENSARY 23

PRIVATE SECTOR

PRIVATE HOSPITAL OR CLINIC 31

OTHER (SPECIFY): ___ 41</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>DELPL_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, DELPL_ALL (M15_x) reports where she delivered her child.  Response categories vary across samples.  See Comparability.

DELPL_ALL consists of a set of six separate variables, covering the most recent birth (DELPL_01) up to the sixth-most-recent birth (i.e., DELPL_02, DELPL_03, DELPL_04, DELPL_05, and DELPL_06) during the reference period prior to the survey.  If DELPL_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then DELPL_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELPL_01" name="W_DELPL_01" files="W" intrvl="discrete">
  <labl>Place of delivery (last birth)</labl>
  <imputation>Place of delivery (last birth)</imputation>
  <security>Place of delivery (last birth)</security>
  <embargo>Place of delivery (last birth)</embargo>
  <respUnit>Place of delivery (last birth)</respUnit>
  <qstn>
    <qstnLit>411) Where did you give birth to (NAME)?

HOME

YOUR HOME 11
OTHER HOME 12

PUBLIC SECTOR

HOSPITAL 21
MATERNITY WARD 22
DISPENSARY 23

PRIVATE SECTOR

PRIVATE HOSPITAL OR CLINIC 31

OTHER (SPECIFY): ___ 41</qstnLit>
  </qstn>
  <catgry>
    <catValu>1000</catValu>
    <labl>HOME</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Respondent's home</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Respondent's parents' home</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>Nurse/midwife's home</labl>
  </catgry>
  <catgry>
    <catValu>1400</catValu>
    <labl>TBA's home</labl>
  </catgry>
  <catgry>
    <catValu>1500</catValu>
    <labl>Community/village health worker's home</labl>
  </catgry>
  <catgry>
    <catValu>1900</catValu>
    <labl>Other home</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>PUBLIC SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Government hospital</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>National/central hospital</labl>
  </catgry>
  <catgry>
    <catValu>2130</catValu>
    <labl>Provincial/regional hospital</labl>
  </catgry>
  <catgry>
    <catValu>2140</catValu>
    <labl>Urban hospital</labl>
  </catgry>
  <catgry>
    <catValu>2150</catValu>
    <labl>District/rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>2151</catValu>
    <labl>District hospital</labl>
  </catgry>
  <catgry>
    <catValu>2152</catValu>
    <labl>Rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>2160</catValu>
    <labl>University hospital</labl>
  </catgry>
  <catgry>
    <catValu>2170</catValu>
    <labl>Military hospital</labl>
  </catgry>
  <catgry>
    <catValu>2180</catValu>
    <labl>Day hospital</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Government health center</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Referral health center</labl>
  </catgry>
  <catgry>
    <catValu>2220</catValu>
    <labl>Community health center</labl>
  </catgry>
  <catgry>
    <catValu>2230</catValu>
    <labl>Urban health center</labl>
  </catgry>
  <catgry>
    <catValu>2240</catValu>
    <labl>Rural health center</labl>
  </catgry>
  <catgry>
    <catValu>2250</catValu>
    <labl>Integrated health center</labl>
  </catgry>
  <catgry>
    <catValu>2260</catValu>
    <labl>Family welfare center</labl>
  </catgry>
  <catgry>
    <catValu>2270</catValu>
    <labl>Primary health center</labl>
  </catgry>
  <catgry>
    <catValu>2280</catValu>
    <labl>Basic health center</labl>
  </catgry>
  <catgry>
    <catValu>2290</catValu>
    <labl>Sub-health center</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Government maternal and child health (MCH) center</labl>
  </catgry>
  <catgry>
    <catValu>2400</catValu>
    <labl>Government outreach</labl>
  </catgry>
  <catgry>
    <catValu>2410</catValu>
    <labl>Government health post</labl>
  </catgry>
  <catgry>
    <catValu>2411</catValu>
    <labl>Village health post</labl>
  </catgry>
  <catgry>
    <catValu>2412</catValu>
    <labl>Sub-health post</labl>
  </catgry>
  <catgry>
    <catValu>2413</catValu>
    <labl>Outreach clinic</labl>
  </catgry>
  <catgry>
    <catValu>2420</catValu>
    <labl>Government mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>2430</catValu>
    <labl>Government health worker</labl>
  </catgry>
  <catgry>
    <catValu>2431</catValu>
    <labl>Community based distribution (CBD)</labl>
  </catgry>
  <catgry>
    <catValu>2432</catValu>
    <labl>Field worker</labl>
  </catgry>
  <catgry>
    <catValu>2433</catValu>
    <labl>Community midwife</labl>
  </catgry>
  <catgry>
    <catValu>2500</catValu>
    <labl>Government dispensary</labl>
  </catgry>
  <catgry>
    <catValu>2600</catValu>
    <labl>Government family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>2900</catValu>
    <labl>Other public sector</labl>
  </catgry>
  <catgry>
    <catValu>2901</catValu>
    <labl>Health home</labl>
  </catgry>
  <catgry>
    <catValu>2902</catValu>
    <labl>Health station/clinic</labl>
  </catgry>
  <catgry>
    <catValu>2903</catValu>
    <labl>Health office</labl>
  </catgry>
  <catgry>
    <catValu>2904</catValu>
    <labl>Community clinic</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>PRIVATE MEDICAL SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Private hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Private hospital</labl>
  </catgry>
  <catgry>
    <catValu>3111</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>3112</catValu>
    <labl>District hospital</labl>
  </catgry>
  <catgry>
    <catValu>3113</catValu>
    <labl>Medical college hospital</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Private clinic</labl>
  </catgry>
  <catgry>
    <catValu>3121</catValu>
    <labl>Clinic</labl>
  </catgry>
  <catgry>
    <catValu>3122</catValu>
    <labl>Polyclinic</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>Private doctor</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Private health center</labl>
  </catgry>
  <catgry>
    <catValu>3400</catValu>
    <labl>Private nursing/maternity home</labl>
  </catgry>
  <catgry>
    <catValu>3500</catValu>
    <labl>Private outreach</labl>
  </catgry>
  <catgry>
    <catValu>3510</catValu>
    <labl>Private mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>3520</catValu>
    <labl>Private health worker</labl>
  </catgry>
  <catgry>
    <catValu>3521</catValu>
    <labl>Nurse</labl>
  </catgry>
  <catgry>
    <catValu>3530</catValu>
    <labl>Private health post</labl>
  </catgry>
  <catgry>
    <catValu>3600</catValu>
    <labl>Private family planninc clinic</labl>
  </catgry>
  <catgry>
    <catValu>3700</catValu>
    <labl>Private pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>3900</catValu>
    <labl>Other private medical sector</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>NGO FACILITY</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>NGO health facility</labl>
  </catgry>
  <catgry>
    <catValu>4110</catValu>
    <labl>Static clinic</labl>
  </catgry>
  <catgry>
    <catValu>4120</catValu>
    <labl>Red Cross facility</labl>
  </catgry>
  <catgry>
    <catValu>4130</catValu>
    <labl>Marie Stopes</labl>
  </catgry>
  <catgry>
    <catValu>4140</catValu>
    <labl>Refugee/NGO hospital</labl>
  </catgry>
  <catgry>
    <catValu>4200</catValu>
    <labl>Country-specific NGOs</labl>
  </catgry>
  <catgry>
    <catValu>4201</catValu>
    <labl>BLM</labl>
  </catgry>
  <catgry>
    <catValu>4202</catValu>
    <labl>CSI</labl>
  </catgry>
  <catgry>
    <catValu>4203</catValu>
    <labl>Egyptian family planning association (EFPA)</labl>
  </catgry>
  <catgry>
    <catValu>4900</catValu>
    <labl>Other NGO</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>RELIGIOUS/MISSION</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Religious hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>5110</catValu>
    <labl>Religious hospital</labl>
  </catgry>
  <catgry>
    <catValu>5111</catValu>
    <labl>Religious referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>5112</catValu>
    <labl>Religious district hospital</labl>
  </catgry>
  <catgry>
    <catValu>5120</catValu>
    <labl>Religious clinic</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Religious health center/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>5210</catValu>
    <labl>Religious health center</labl>
  </catgry>
  <catgry>
    <catValu>5220</catValu>
    <labl>Religious dispensary</labl>
  </catgry>
  <catgry>
    <catValu>5300</catValu>
    <labl>Religious health post</labl>
  </catgry>
  <catgry>
    <catValu>5900</catValu>
    <labl>Other religious/mission</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>6100</catValu>
    <labl>En route to provider</labl>
  </catgry>
  <catgry>
    <catValu>6200</catValu>
    <labl>Outside</labl>
  </catgry>
  <catgry>
    <catValu>6300</catValu>
    <labl>Abroad</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>See DELPL_ALL.</txt>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELPL_02" name="W_DELPL_02" files="W" intrvl="discrete">
  <labl>Place of delivery (second to last birth)</labl>
  <imputation>Place of delivery (second to last birth)</imputation>
  <security>Place of delivery (second to last birth)</security>
  <embargo>Place of delivery (second to last birth)</embargo>
  <respUnit>Place of delivery (second to last birth)</respUnit>
  <qstn>
    <qstnLit>411) Where did you give birth to (NAME)?

HOME

YOUR HOME 11
OTHER HOME 12

PUBLIC SECTOR

HOSPITAL 21
MATERNITY WARD 22
DISPENSARY 23

PRIVATE SECTOR

PRIVATE HOSPITAL OR CLINIC 31

OTHER (SPECIFY): ___ 41</qstnLit>
  </qstn>
  <catgry>
    <catValu>4140</catValu>
    <labl>Refugee/NGO hospital</labl>
  </catgry>
  <catgry>
    <catValu>5900</catValu>
    <labl>Othre religious/mission</labl>
  </catgry>
  <catgry>
    <catValu>3530</catValu>
    <labl>Private health post</labl>
  </catgry>
  <catgry>
    <catValu>4130</catValu>
    <labl>Marie Stopes</labl>
  </catgry>
  <catgry>
    <catValu>2432</catValu>
    <labl>Field worker</labl>
  </catgry>
  <catgry>
    <catValu>2413</catValu>
    <labl>Outreach clinic</labl>
  </catgry>
  <catgry>
    <catValu>2412</catValu>
    <labl>Sub-health post</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>HOME</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Respondent's home</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Respondent's parents' home</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>Nurse/midwife's home</labl>
  </catgry>
  <catgry>
    <catValu>1400</catValu>
    <labl>TBA's home</labl>
  </catgry>
  <catgry>
    <catValu>1500</catValu>
    <labl>Community/village health worker's home</labl>
  </catgry>
  <catgry>
    <catValu>1900</catValu>
    <labl>Other home</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>PUBLIC SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Government hospital</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>National/central hospital</labl>
  </catgry>
  <catgry>
    <catValu>2130</catValu>
    <labl>Provincial/regional hospital</labl>
  </catgry>
  <catgry>
    <catValu>2140</catValu>
    <labl>Urban hospital</labl>
  </catgry>
  <catgry>
    <catValu>2150</catValu>
    <labl>District/rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>2151</catValu>
    <labl>District hospital</labl>
  </catgry>
  <catgry>
    <catValu>2152</catValu>
    <labl>Rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>2160</catValu>
    <labl>University hospital</labl>
  </catgry>
  <catgry>
    <catValu>2170</catValu>
    <labl>Military hospital</labl>
  </catgry>
  <catgry>
    <catValu>2180</catValu>
    <labl>Day hospital</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Government health center</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Referral health center</labl>
  </catgry>
  <catgry>
    <catValu>2220</catValu>
    <labl>Community health center</labl>
  </catgry>
  <catgry>
    <catValu>2230</catValu>
    <labl>Urban health center</labl>
  </catgry>
  <catgry>
    <catValu>2240</catValu>
    <labl>Rural health center</labl>
  </catgry>
  <catgry>
    <catValu>2250</catValu>
    <labl>Integrated health center</labl>
  </catgry>
  <catgry>
    <catValu>2260</catValu>
    <labl>Family welfare center</labl>
  </catgry>
  <catgry>
    <catValu>2270</catValu>
    <labl>Primary health center</labl>
  </catgry>
  <catgry>
    <catValu>2280</catValu>
    <labl>Basic health center</labl>
  </catgry>
  <catgry>
    <catValu>2290</catValu>
    <labl>Sub-health center</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Government maternal and child health (MCH) center</labl>
  </catgry>
  <catgry>
    <catValu>2400</catValu>
    <labl>Government outreach</labl>
  </catgry>
  <catgry>
    <catValu>2410</catValu>
    <labl>Government health post</labl>
  </catgry>
  <catgry>
    <catValu>2411</catValu>
    <labl>Village health post</labl>
  </catgry>
  <catgry>
    <catValu>2420</catValu>
    <labl>Government mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>2430</catValu>
    <labl>Government health worker</labl>
  </catgry>
  <catgry>
    <catValu>2431</catValu>
    <labl>Community based distribution (CBD)</labl>
  </catgry>
  <catgry>
    <catValu>2500</catValu>
    <labl>Government dispensary</labl>
  </catgry>
  <catgry>
    <catValu>2600</catValu>
    <labl>Government family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>2900</catValu>
    <labl>Other public sector</labl>
  </catgry>
  <catgry>
    <catValu>2901</catValu>
    <labl>Health home</labl>
  </catgry>
  <catgry>
    <catValu>2902</catValu>
    <labl>Health station/clinic</labl>
  </catgry>
  <catgry>
    <catValu>2903</catValu>
    <labl>Health office</labl>
  </catgry>
  <catgry>
    <catValu>2904</catValu>
    <labl>Community clinic</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>PRIVATE MEDICAL SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Private hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Private hospital</labl>
  </catgry>
  <catgry>
    <catValu>3111</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>3112</catValu>
    <labl>District hospital</labl>
  </catgry>
  <catgry>
    <catValu>3113</catValu>
    <labl>Medical college hospital</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Private clinic</labl>
  </catgry>
  <catgry>
    <catValu>3121</catValu>
    <labl>Clinic</labl>
  </catgry>
  <catgry>
    <catValu>3122</catValu>
    <labl>Polyclinic</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>Private doctor</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Private health center</labl>
  </catgry>
  <catgry>
    <catValu>3400</catValu>
    <labl>Private nursing/maternity home</labl>
  </catgry>
  <catgry>
    <catValu>3500</catValu>
    <labl>Private outreach</labl>
  </catgry>
  <catgry>
    <catValu>3510</catValu>
    <labl>Private mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>3520</catValu>
    <labl>Private health worker</labl>
  </catgry>
  <catgry>
    <catValu>3521</catValu>
    <labl>Nurse</labl>
  </catgry>
  <catgry>
    <catValu>3600</catValu>
    <labl>Private family planninc clinic</labl>
  </catgry>
  <catgry>
    <catValu>3700</catValu>
    <labl>Private pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>3900</catValu>
    <labl>Other private medical sector</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>NGO FACILITY</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>NGO health facility</labl>
  </catgry>
  <catgry>
    <catValu>4110</catValu>
    <labl>Static clinic</labl>
  </catgry>
  <catgry>
    <catValu>4120</catValu>
    <labl>Red Cross facility</labl>
  </catgry>
  <catgry>
    <catValu>4200</catValu>
    <labl>Country-specific NGOs</labl>
  </catgry>
  <catgry>
    <catValu>4201</catValu>
    <labl>BLM</labl>
  </catgry>
  <catgry>
    <catValu>4202</catValu>
    <labl>CSI</labl>
  </catgry>
  <catgry>
    <catValu>4203</catValu>
    <labl>Egyptian family planning association (EFPA)</labl>
  </catgry>
  <catgry>
    <catValu>4900</catValu>
    <labl>Other NGO</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>RELIGIOUS/MISSION</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Religious hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>5110</catValu>
    <labl>Religious hospital</labl>
  </catgry>
  <catgry>
    <catValu>5111</catValu>
    <labl>Religious referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>5112</catValu>
    <labl>Religious district hospital</labl>
  </catgry>
  <catgry>
    <catValu>5120</catValu>
    <labl>Religious clinic</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Religious health center/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>5210</catValu>
    <labl>Religious health center</labl>
  </catgry>
  <catgry>
    <catValu>5220</catValu>
    <labl>Religious dispensary</labl>
  </catgry>
  <catgry>
    <catValu>5300</catValu>
    <labl>Religious health post</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>6100</catValu>
    <labl>En route to provider</labl>
  </catgry>
  <catgry>
    <catValu>6200</catValu>
    <labl>Outside</labl>
  </catgry>
  <catgry>
    <catValu>6300</catValu>
    <labl>Abroad</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>2433</catValu>
    <labl>Community midwife</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELPL_03" name="W_DELPL_03" files="W" intrvl="discrete">
  <labl>Place of delivery (third to last birth)</labl>
  <imputation>Place of delivery (third to last birth)</imputation>
  <security>Place of delivery (third to last birth)</security>
  <embargo>Place of delivery (third to last birth)</embargo>
  <respUnit>Place of delivery (third to last birth)</respUnit>
  <qstn>
    <qstnLit>411) Where did you give birth to (NAME)?

HOME

YOUR HOME 11
OTHER HOME 12

PUBLIC SECTOR

HOSPITAL 21
MATERNITY WARD 22
DISPENSARY 23

PRIVATE SECTOR

PRIVATE HOSPITAL OR CLINIC 31

OTHER (SPECIFY): ___ 41</qstnLit>
  </qstn>
  <catgry>
    <catValu>4140</catValu>
    <labl>Refugee/NGO hospital</labl>
  </catgry>
  <catgry>
    <catValu>2433</catValu>
    <labl>Community midwife</labl>
  </catgry>
  <catgry>
    <catValu>5900</catValu>
    <labl>Other religious/mission</labl>
  </catgry>
  <catgry>
    <catValu>4130</catValu>
    <labl>Marie Stopes</labl>
  </catgry>
  <catgry>
    <catValu>2432</catValu>
    <labl>Field worker</labl>
  </catgry>
  <catgry>
    <catValu>2413</catValu>
    <labl>Outreach clinic</labl>
  </catgry>
  <catgry>
    <catValu>2412</catValu>
    <labl>Sub-health post</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>HOME</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Respondent's home</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Respondent's parents' home</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>Nurse/midwife's home</labl>
  </catgry>
  <catgry>
    <catValu>1400</catValu>
    <labl>TBA's home</labl>
  </catgry>
  <catgry>
    <catValu>1500</catValu>
    <labl>Community/village health worker's home</labl>
  </catgry>
  <catgry>
    <catValu>1900</catValu>
    <labl>Other home</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>PUBLIC SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Government hospital</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>National/central hospital</labl>
  </catgry>
  <catgry>
    <catValu>2130</catValu>
    <labl>Provincial/regional hospital</labl>
  </catgry>
  <catgry>
    <catValu>2140</catValu>
    <labl>Urban hospital</labl>
  </catgry>
  <catgry>
    <catValu>2150</catValu>
    <labl>District/rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>2151</catValu>
    <labl>District hospital</labl>
  </catgry>
  <catgry>
    <catValu>2152</catValu>
    <labl>Rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>2160</catValu>
    <labl>University hospital</labl>
  </catgry>
  <catgry>
    <catValu>2170</catValu>
    <labl>Military hospital</labl>
  </catgry>
  <catgry>
    <catValu>2180</catValu>
    <labl>Day hospital</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Government health center</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Referral health center</labl>
  </catgry>
  <catgry>
    <catValu>2220</catValu>
    <labl>Community health center</labl>
  </catgry>
  <catgry>
    <catValu>2230</catValu>
    <labl>Urban health center</labl>
  </catgry>
  <catgry>
    <catValu>2240</catValu>
    <labl>Rural health center</labl>
  </catgry>
  <catgry>
    <catValu>2250</catValu>
    <labl>Integrated health center</labl>
  </catgry>
  <catgry>
    <catValu>2260</catValu>
    <labl>Family welfare center</labl>
  </catgry>
  <catgry>
    <catValu>2270</catValu>
    <labl>Primary health center</labl>
  </catgry>
  <catgry>
    <catValu>2280</catValu>
    <labl>Basic health center</labl>
  </catgry>
  <catgry>
    <catValu>2290</catValu>
    <labl>Sub-health center</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Government maternal and child health (MCH) center</labl>
  </catgry>
  <catgry>
    <catValu>2400</catValu>
    <labl>Government outreach</labl>
  </catgry>
  <catgry>
    <catValu>2410</catValu>
    <labl>Government health post</labl>
  </catgry>
  <catgry>
    <catValu>2411</catValu>
    <labl>Village health post</labl>
  </catgry>
  <catgry>
    <catValu>2420</catValu>
    <labl>Government mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>2430</catValu>
    <labl>Government health worker</labl>
  </catgry>
  <catgry>
    <catValu>2431</catValu>
    <labl>Community based distribution (CBD)</labl>
  </catgry>
  <catgry>
    <catValu>2500</catValu>
    <labl>Government dispensary</labl>
  </catgry>
  <catgry>
    <catValu>2600</catValu>
    <labl>Government family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>2900</catValu>
    <labl>Other public sector</labl>
  </catgry>
  <catgry>
    <catValu>2901</catValu>
    <labl>Health home</labl>
  </catgry>
  <catgry>
    <catValu>2902</catValu>
    <labl>Health station/clinic</labl>
  </catgry>
  <catgry>
    <catValu>2903</catValu>
    <labl>Health office</labl>
  </catgry>
  <catgry>
    <catValu>2904</catValu>
    <labl>Community clinic</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>PRIVATE MEDICAL SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Private hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Private hospital</labl>
  </catgry>
  <catgry>
    <catValu>3111</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>3112</catValu>
    <labl>District hospital</labl>
  </catgry>
  <catgry>
    <catValu>3113</catValu>
    <labl>Medical college hospital</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Private clinic</labl>
  </catgry>
  <catgry>
    <catValu>3121</catValu>
    <labl>Clinic</labl>
  </catgry>
  <catgry>
    <catValu>3122</catValu>
    <labl>Polyclinic</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>Private doctor</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Private health center</labl>
  </catgry>
  <catgry>
    <catValu>3400</catValu>
    <labl>Private nursing/maternity home</labl>
  </catgry>
  <catgry>
    <catValu>3500</catValu>
    <labl>Private outreach</labl>
  </catgry>
  <catgry>
    <catValu>3510</catValu>
    <labl>Private mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>3520</catValu>
    <labl>Private health worker</labl>
  </catgry>
  <catgry>
    <catValu>3521</catValu>
    <labl>Nurse</labl>
  </catgry>
  <catgry>
    <catValu>3600</catValu>
    <labl>Private family planninc clinic</labl>
  </catgry>
  <catgry>
    <catValu>3700</catValu>
    <labl>Private pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>3900</catValu>
    <labl>Other private medical sector</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>NGO FACILITY</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>NGO health facility</labl>
  </catgry>
  <catgry>
    <catValu>4110</catValu>
    <labl>Static clinic</labl>
  </catgry>
  <catgry>
    <catValu>4120</catValu>
    <labl>Red Cross facility</labl>
  </catgry>
  <catgry>
    <catValu>4200</catValu>
    <labl>Country-specific NGOs</labl>
  </catgry>
  <catgry>
    <catValu>4201</catValu>
    <labl>BLM</labl>
  </catgry>
  <catgry>
    <catValu>4202</catValu>
    <labl>CSI</labl>
  </catgry>
  <catgry>
    <catValu>4203</catValu>
    <labl>Egyptian family planning association (EFPA)</labl>
  </catgry>
  <catgry>
    <catValu>4900</catValu>
    <labl>Other NGO</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>RELIGIOUS/MISSION</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Religious hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>5110</catValu>
    <labl>Religious hospital</labl>
  </catgry>
  <catgry>
    <catValu>5111</catValu>
    <labl>Religious referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>5112</catValu>
    <labl>Religious district hospital</labl>
  </catgry>
  <catgry>
    <catValu>5120</catValu>
    <labl>Religious clinic</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Religious health center/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>5210</catValu>
    <labl>Religious health center</labl>
  </catgry>
  <catgry>
    <catValu>5220</catValu>
    <labl>Religious dispensary</labl>
  </catgry>
  <catgry>
    <catValu>5300</catValu>
    <labl>Religious health post</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>6100</catValu>
    <labl>En route to provider</labl>
  </catgry>
  <catgry>
    <catValu>6200</catValu>
    <labl>Outside</labl>
  </catgry>
  <catgry>
    <catValu>6300</catValu>
    <labl>Abroad</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELPL_04" name="W_DELPL_04" files="W" intrvl="discrete">
  <labl>Place of delivery (fourth to last birth)</labl>
  <imputation>Place of delivery (fourth to last birth)</imputation>
  <security>Place of delivery (fourth to last birth)</security>
  <embargo>Place of delivery (fourth to last birth)</embargo>
  <respUnit>Place of delivery (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>411) Where did you give birth to (NAME)?

HOME

YOUR HOME 11
OTHER HOME 12

PUBLIC SECTOR

HOSPITAL 21
MATERNITY WARD 22
DISPENSARY 23

PRIVATE SECTOR

PRIVATE HOSPITAL OR CLINIC 31

OTHER (SPECIFY): ___ 41</qstnLit>
  </qstn>
  <catgry>
    <catValu>4140</catValu>
    <labl>Refugee/NGO hospital</labl>
  </catgry>
  <catgry>
    <catValu>2433</catValu>
    <labl>Community midwife</labl>
  </catgry>
  <catgry>
    <catValu>5900</catValu>
    <labl>Other religious/mission</labl>
  </catgry>
  <catgry>
    <catValu>3530</catValu>
    <labl>Private health post</labl>
  </catgry>
  <catgry>
    <catValu>4130</catValu>
    <labl>Marie Stopes</labl>
  </catgry>
  <catgry>
    <catValu>2432</catValu>
    <labl>Field worker</labl>
  </catgry>
  <catgry>
    <catValu>2413</catValu>
    <labl>Outreach clinic</labl>
  </catgry>
  <catgry>
    <catValu>2412</catValu>
    <labl>Sub-health post</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>HOME</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Respondent's home</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Respondent's parents' home</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>Nurse/midwife's home</labl>
  </catgry>
  <catgry>
    <catValu>1400</catValu>
    <labl>TBA's home</labl>
  </catgry>
  <catgry>
    <catValu>1500</catValu>
    <labl>Community/village health worker's home</labl>
  </catgry>
  <catgry>
    <catValu>1900</catValu>
    <labl>Other home</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>PUBLIC SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Government hospital</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>National/central hospital</labl>
  </catgry>
  <catgry>
    <catValu>2130</catValu>
    <labl>Provincial/regional hospital</labl>
  </catgry>
  <catgry>
    <catValu>2140</catValu>
    <labl>Urban hospital</labl>
  </catgry>
  <catgry>
    <catValu>2150</catValu>
    <labl>District/rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>2151</catValu>
    <labl>District hospital</labl>
  </catgry>
  <catgry>
    <catValu>2152</catValu>
    <labl>Rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>2160</catValu>
    <labl>University hospital</labl>
  </catgry>
  <catgry>
    <catValu>2170</catValu>
    <labl>Military hospital</labl>
  </catgry>
  <catgry>
    <catValu>2180</catValu>
    <labl>Day hospital</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Government health center</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Referral health center</labl>
  </catgry>
  <catgry>
    <catValu>2220</catValu>
    <labl>Community health center</labl>
  </catgry>
  <catgry>
    <catValu>2230</catValu>
    <labl>Urban health center</labl>
  </catgry>
  <catgry>
    <catValu>2240</catValu>
    <labl>Rural health center</labl>
  </catgry>
  <catgry>
    <catValu>2250</catValu>
    <labl>Integrated health center</labl>
  </catgry>
  <catgry>
    <catValu>2260</catValu>
    <labl>Family welfare center</labl>
  </catgry>
  <catgry>
    <catValu>2270</catValu>
    <labl>Primary health center</labl>
  </catgry>
  <catgry>
    <catValu>2280</catValu>
    <labl>Basic health center</labl>
  </catgry>
  <catgry>
    <catValu>2290</catValu>
    <labl>Sub-health center</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Government maternal and child health (MCH) center</labl>
  </catgry>
  <catgry>
    <catValu>2400</catValu>
    <labl>Government outreach</labl>
  </catgry>
  <catgry>
    <catValu>2410</catValu>
    <labl>Government health post</labl>
  </catgry>
  <catgry>
    <catValu>2411</catValu>
    <labl>Village health post</labl>
  </catgry>
  <catgry>
    <catValu>2420</catValu>
    <labl>Government mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>2430</catValu>
    <labl>Government health worker</labl>
  </catgry>
  <catgry>
    <catValu>2431</catValu>
    <labl>Community based distribution (CBD)</labl>
  </catgry>
  <catgry>
    <catValu>2500</catValu>
    <labl>Government dispensary</labl>
  </catgry>
  <catgry>
    <catValu>2600</catValu>
    <labl>Government family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>2900</catValu>
    <labl>Other public sector</labl>
  </catgry>
  <catgry>
    <catValu>2901</catValu>
    <labl>Health home</labl>
  </catgry>
  <catgry>
    <catValu>2902</catValu>
    <labl>Health station/clinic</labl>
  </catgry>
  <catgry>
    <catValu>2903</catValu>
    <labl>Health office</labl>
  </catgry>
  <catgry>
    <catValu>2904</catValu>
    <labl>Community clinic</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>PRIVATE MEDICAL SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Private hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Private hospital</labl>
  </catgry>
  <catgry>
    <catValu>3111</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>3112</catValu>
    <labl>District hospital</labl>
  </catgry>
  <catgry>
    <catValu>3113</catValu>
    <labl>Medical college hospital</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Private clinic</labl>
  </catgry>
  <catgry>
    <catValu>3121</catValu>
    <labl>Clinic</labl>
  </catgry>
  <catgry>
    <catValu>3122</catValu>
    <labl>Polyclinic</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>Private doctor</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Private health center</labl>
  </catgry>
  <catgry>
    <catValu>3400</catValu>
    <labl>Private nursing/maternity home</labl>
  </catgry>
  <catgry>
    <catValu>3500</catValu>
    <labl>Private outreach</labl>
  </catgry>
  <catgry>
    <catValu>3510</catValu>
    <labl>Private mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>3520</catValu>
    <labl>Private health worker</labl>
  </catgry>
  <catgry>
    <catValu>3521</catValu>
    <labl>Nurse</labl>
  </catgry>
  <catgry>
    <catValu>3600</catValu>
    <labl>Private family planninc clinic</labl>
  </catgry>
  <catgry>
    <catValu>3700</catValu>
    <labl>Private pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>3900</catValu>
    <labl>Other private medical sector</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>NGO FACILITY</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>NGO health facility</labl>
  </catgry>
  <catgry>
    <catValu>4110</catValu>
    <labl>Static clinic</labl>
  </catgry>
  <catgry>
    <catValu>4120</catValu>
    <labl>Red Cross facility</labl>
  </catgry>
  <catgry>
    <catValu>4200</catValu>
    <labl>Country-specific NGOs</labl>
  </catgry>
  <catgry>
    <catValu>4201</catValu>
    <labl>BLM</labl>
  </catgry>
  <catgry>
    <catValu>4202</catValu>
    <labl>CSI</labl>
  </catgry>
  <catgry>
    <catValu>4203</catValu>
    <labl>Egyptian family planning association (EFPA)</labl>
  </catgry>
  <catgry>
    <catValu>4900</catValu>
    <labl>Other NGO</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>RELIGIOUS/MISSION</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Religious hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>5110</catValu>
    <labl>Religious hospital</labl>
  </catgry>
  <catgry>
    <catValu>5111</catValu>
    <labl>Religious referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>5112</catValu>
    <labl>Religious district hospital</labl>
  </catgry>
  <catgry>
    <catValu>5120</catValu>
    <labl>Religious clinic</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Religious health center/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>5210</catValu>
    <labl>Religious health center</labl>
  </catgry>
  <catgry>
    <catValu>5220</catValu>
    <labl>Religious dispensary</labl>
  </catgry>
  <catgry>
    <catValu>5300</catValu>
    <labl>Religious health post</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>6100</catValu>
    <labl>En route to provider</labl>
  </catgry>
  <catgry>
    <catValu>6200</catValu>
    <labl>Outside</labl>
  </catgry>
  <catgry>
    <catValu>6300</catValu>
    <labl>Abroad</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELPL_05" name="W_DELPL_05" files="W" intrvl="discrete">
  <labl>Place of delivery (fifth to last birth)</labl>
  <imputation>Place of delivery (fifth to last birth)</imputation>
  <security>Place of delivery (fifth to last birth)</security>
  <embargo>Place of delivery (fifth to last birth)</embargo>
  <respUnit>Place of delivery (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>411) Where did you give birth to (NAME)?

HOME

YOUR HOME 11
OTHER HOME 12

PUBLIC SECTOR

HOSPITAL 21
MATERNITY WARD 22
DISPENSARY 23

PRIVATE SECTOR

PRIVATE HOSPITAL OR CLINIC 31

OTHER (SPECIFY): ___ 41</qstnLit>
  </qstn>
  <catgry>
    <catValu>4140</catValu>
    <labl>Refugee/NGO hospital</labl>
  </catgry>
  <catgry>
    <catValu>2433</catValu>
    <labl>Community midwife</labl>
  </catgry>
  <catgry>
    <catValu>4130</catValu>
    <labl>Marie Stopes</labl>
  </catgry>
  <catgry>
    <catValu>2432</catValu>
    <labl>Field worker</labl>
  </catgry>
  <catgry>
    <catValu>2413</catValu>
    <labl>Outreach clinic</labl>
  </catgry>
  <catgry>
    <catValu>2412</catValu>
    <labl>Sub-health post</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>HOME</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Respondent's home</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Respondent's parents' home</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>Nurse/midwife's home</labl>
  </catgry>
  <catgry>
    <catValu>1400</catValu>
    <labl>TBA's home</labl>
  </catgry>
  <catgry>
    <catValu>1500</catValu>
    <labl>Community/village health worker's home</labl>
  </catgry>
  <catgry>
    <catValu>1900</catValu>
    <labl>Other home</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>PUBLIC SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Government hospital</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>National/central hospital</labl>
  </catgry>
  <catgry>
    <catValu>2130</catValu>
    <labl>Provincial/regional hospital</labl>
  </catgry>
  <catgry>
    <catValu>2140</catValu>
    <labl>Urban hospital</labl>
  </catgry>
  <catgry>
    <catValu>2150</catValu>
    <labl>District/rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>2151</catValu>
    <labl>District hospital</labl>
  </catgry>
  <catgry>
    <catValu>2152</catValu>
    <labl>Rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>2160</catValu>
    <labl>University hospital</labl>
  </catgry>
  <catgry>
    <catValu>2170</catValu>
    <labl>Military hospital</labl>
  </catgry>
  <catgry>
    <catValu>2180</catValu>
    <labl>Day hospital</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Government health center</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Referral health center</labl>
  </catgry>
  <catgry>
    <catValu>2220</catValu>
    <labl>Community health center</labl>
  </catgry>
  <catgry>
    <catValu>2230</catValu>
    <labl>Urban health center</labl>
  </catgry>
  <catgry>
    <catValu>2240</catValu>
    <labl>Rural health center</labl>
  </catgry>
  <catgry>
    <catValu>2250</catValu>
    <labl>Integrated health center</labl>
  </catgry>
  <catgry>
    <catValu>2260</catValu>
    <labl>Family welfare center</labl>
  </catgry>
  <catgry>
    <catValu>2270</catValu>
    <labl>Primary health center</labl>
  </catgry>
  <catgry>
    <catValu>2280</catValu>
    <labl>Basic health center</labl>
  </catgry>
  <catgry>
    <catValu>2290</catValu>
    <labl>Sub-health center</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Government maternal and child health (MCH) center</labl>
  </catgry>
  <catgry>
    <catValu>2400</catValu>
    <labl>Government outreach</labl>
  </catgry>
  <catgry>
    <catValu>2410</catValu>
    <labl>Government health post</labl>
  </catgry>
  <catgry>
    <catValu>2411</catValu>
    <labl>Village health post</labl>
  </catgry>
  <catgry>
    <catValu>2420</catValu>
    <labl>Government mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>2430</catValu>
    <labl>Government health worker</labl>
  </catgry>
  <catgry>
    <catValu>2431</catValu>
    <labl>Community based distribution (CBD)</labl>
  </catgry>
  <catgry>
    <catValu>2500</catValu>
    <labl>Government dispensary</labl>
  </catgry>
  <catgry>
    <catValu>2600</catValu>
    <labl>Government family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>2900</catValu>
    <labl>Other public sector</labl>
  </catgry>
  <catgry>
    <catValu>2901</catValu>
    <labl>Health home</labl>
  </catgry>
  <catgry>
    <catValu>2902</catValu>
    <labl>Health station/clinic</labl>
  </catgry>
  <catgry>
    <catValu>2903</catValu>
    <labl>Health office</labl>
  </catgry>
  <catgry>
    <catValu>2904</catValu>
    <labl>Community clinic</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>PRIVATE MEDICAL SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Private hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Private hospital</labl>
  </catgry>
  <catgry>
    <catValu>3111</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>3112</catValu>
    <labl>District hospital</labl>
  </catgry>
  <catgry>
    <catValu>3113</catValu>
    <labl>Medical college hospital</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Private clinic</labl>
  </catgry>
  <catgry>
    <catValu>3121</catValu>
    <labl>Clinic</labl>
  </catgry>
  <catgry>
    <catValu>3122</catValu>
    <labl>Polyclinic</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>Private doctor</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Private health center</labl>
  </catgry>
  <catgry>
    <catValu>3400</catValu>
    <labl>Private nursing/maternity home</labl>
  </catgry>
  <catgry>
    <catValu>3500</catValu>
    <labl>Private outreach</labl>
  </catgry>
  <catgry>
    <catValu>3510</catValu>
    <labl>Private mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>3520</catValu>
    <labl>Private health worker</labl>
  </catgry>
  <catgry>
    <catValu>3521</catValu>
    <labl>Nurse</labl>
  </catgry>
  <catgry>
    <catValu>3600</catValu>
    <labl>Private family planninc clinic</labl>
  </catgry>
  <catgry>
    <catValu>3700</catValu>
    <labl>Private pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>3900</catValu>
    <labl>Other private medical sector</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>NGO FACILITY</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>NGO health facility</labl>
  </catgry>
  <catgry>
    <catValu>4110</catValu>
    <labl>Static clinic</labl>
  </catgry>
  <catgry>
    <catValu>4120</catValu>
    <labl>Red Cross facility</labl>
  </catgry>
  <catgry>
    <catValu>4200</catValu>
    <labl>Country-specific NGOs</labl>
  </catgry>
  <catgry>
    <catValu>4201</catValu>
    <labl>BLM</labl>
  </catgry>
  <catgry>
    <catValu>4202</catValu>
    <labl>CSI</labl>
  </catgry>
  <catgry>
    <catValu>4203</catValu>
    <labl>Egyptian family planning association (EFPA)</labl>
  </catgry>
  <catgry>
    <catValu>4900</catValu>
    <labl>Other NGO</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>RELIGIOUS/MISSION</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Religious hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>5110</catValu>
    <labl>Religious hospital</labl>
  </catgry>
  <catgry>
    <catValu>5111</catValu>
    <labl>Religious referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>5112</catValu>
    <labl>Religious district hospital</labl>
  </catgry>
  <catgry>
    <catValu>5120</catValu>
    <labl>Religious clinic</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Religious health center/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>5210</catValu>
    <labl>Religious health center</labl>
  </catgry>
  <catgry>
    <catValu>5220</catValu>
    <labl>Religious dispensary</labl>
  </catgry>
  <catgry>
    <catValu>5300</catValu>
    <labl>Religious health post</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>6100</catValu>
    <labl>En route to provider</labl>
  </catgry>
  <catgry>
    <catValu>6200</catValu>
    <labl>Outside</labl>
  </catgry>
  <catgry>
    <catValu>6300</catValu>
    <labl>Abroad</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>3530</catValu>
    <labl>Private health post</labl>
  </catgry>
  <catgry>
    <catValu>5900</catValu>
    <labl>Other religious/mission</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DELPL_06" name="W_DELPL_06" files="W" intrvl="discrete">
  <labl>Place of delivery (sixth to last birth)</labl>
  <imputation>Place of delivery (sixth to last birth)</imputation>
  <security>Place of delivery (sixth to last birth)</security>
  <embargo>Place of delivery (sixth to last birth)</embargo>
  <respUnit>Place of delivery (sixth to last birth)</respUnit>
  <catgry>
    <catValu>4140</catValu>
    <labl>Refugee/NGO hospital</labl>
  </catgry>
  <catgry>
    <catValu>2433</catValu>
    <labl>Community midwife</labl>
  </catgry>
  <catgry>
    <catValu>4130</catValu>
    <labl>Marie Stopes</labl>
  </catgry>
  <catgry>
    <catValu>3530</catValu>
    <labl>Private health post</labl>
  </catgry>
  <catgry>
    <catValu>2432</catValu>
    <labl>Field worker</labl>
  </catgry>
  <catgry>
    <catValu>2413</catValu>
    <labl>Outreach clinic</labl>
  </catgry>
  <catgry>
    <catValu>2412</catValu>
    <labl>Sub-health post</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>HOMES</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Respondent's home</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Respondent's parents' home</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>Nurse/midwife's home</labl>
  </catgry>
  <catgry>
    <catValu>1400</catValu>
    <labl>TBA's home</labl>
  </catgry>
  <catgry>
    <catValu>1500</catValu>
    <labl>Community/village health worker's home</labl>
  </catgry>
  <catgry>
    <catValu>1900</catValu>
    <labl>Other home</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>PUBLIC SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Government hospital</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>National/central hospital</labl>
  </catgry>
  <catgry>
    <catValu>2130</catValu>
    <labl>Provincial/regional hospital</labl>
  </catgry>
  <catgry>
    <catValu>2140</catValu>
    <labl>Urban hospital</labl>
  </catgry>
  <catgry>
    <catValu>2150</catValu>
    <labl>District/rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>2151</catValu>
    <labl>District hospital</labl>
  </catgry>
  <catgry>
    <catValu>2152</catValu>
    <labl>Rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>2160</catValu>
    <labl>University hospital</labl>
  </catgry>
  <catgry>
    <catValu>2170</catValu>
    <labl>Military hospital</labl>
  </catgry>
  <catgry>
    <catValu>2180</catValu>
    <labl>Day hospital</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Government health center</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Referral health center</labl>
  </catgry>
  <catgry>
    <catValu>2220</catValu>
    <labl>Community health center</labl>
  </catgry>
  <catgry>
    <catValu>2230</catValu>
    <labl>Urban health center</labl>
  </catgry>
  <catgry>
    <catValu>2240</catValu>
    <labl>Rural health center</labl>
  </catgry>
  <catgry>
    <catValu>2250</catValu>
    <labl>Integrated health center</labl>
  </catgry>
  <catgry>
    <catValu>2260</catValu>
    <labl>Family welfare center</labl>
  </catgry>
  <catgry>
    <catValu>2270</catValu>
    <labl>Primary health center</labl>
  </catgry>
  <catgry>
    <catValu>2280</catValu>
    <labl>Basic health center</labl>
  </catgry>
  <catgry>
    <catValu>2290</catValu>
    <labl>Sub-health center</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Government maternal and child health (MCH) center</labl>
  </catgry>
  <catgry>
    <catValu>2400</catValu>
    <labl>Government outreach</labl>
  </catgry>
  <catgry>
    <catValu>2410</catValu>
    <labl>Government health post</labl>
  </catgry>
  <catgry>
    <catValu>2411</catValu>
    <labl>Village health post</labl>
  </catgry>
  <catgry>
    <catValu>2420</catValu>
    <labl>Government mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>2430</catValu>
    <labl>Government health worker</labl>
  </catgry>
  <catgry>
    <catValu>2431</catValu>
    <labl>Community based distribution (CBD)</labl>
  </catgry>
  <catgry>
    <catValu>2500</catValu>
    <labl>Government dispensary</labl>
  </catgry>
  <catgry>
    <catValu>2600</catValu>
    <labl>Government family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>2900</catValu>
    <labl>Other public sector</labl>
  </catgry>
  <catgry>
    <catValu>2901</catValu>
    <labl>Health home</labl>
  </catgry>
  <catgry>
    <catValu>2902</catValu>
    <labl>Health station/clinic</labl>
  </catgry>
  <catgry>
    <catValu>2903</catValu>
    <labl>Health office</labl>
  </catgry>
  <catgry>
    <catValu>2904</catValu>
    <labl>Community clinic</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>PRIVATE MEDICAL SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Private hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Private hospital</labl>
  </catgry>
  <catgry>
    <catValu>3111</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>3112</catValu>
    <labl>District hospital</labl>
  </catgry>
  <catgry>
    <catValu>3113</catValu>
    <labl>Medical college hospital</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Private clinic</labl>
  </catgry>
  <catgry>
    <catValu>3121</catValu>
    <labl>Clinic</labl>
  </catgry>
  <catgry>
    <catValu>3122</catValu>
    <labl>Polyclinic</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>Private doctor</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Private health center</labl>
  </catgry>
  <catgry>
    <catValu>3400</catValu>
    <labl>Private nursing/maternity home</labl>
  </catgry>
  <catgry>
    <catValu>3500</catValu>
    <labl>Private outreach</labl>
  </catgry>
  <catgry>
    <catValu>3510</catValu>
    <labl>Private mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>3520</catValu>
    <labl>Private health worker</labl>
  </catgry>
  <catgry>
    <catValu>3521</catValu>
    <labl>Nurse</labl>
  </catgry>
  <catgry>
    <catValu>3600</catValu>
    <labl>Private family planninc clinic</labl>
  </catgry>
  <catgry>
    <catValu>3700</catValu>
    <labl>Private pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>3900</catValu>
    <labl>Other private medical sector</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>NGO FACILITY</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>NGO health facility</labl>
  </catgry>
  <catgry>
    <catValu>4110</catValu>
    <labl>Static clinic</labl>
  </catgry>
  <catgry>
    <catValu>4120</catValu>
    <labl>Red Cross facility</labl>
  </catgry>
  <catgry>
    <catValu>4200</catValu>
    <labl>Country-specific NGOs</labl>
  </catgry>
  <catgry>
    <catValu>4201</catValu>
    <labl>BLM</labl>
  </catgry>
  <catgry>
    <catValu>4202</catValu>
    <labl>CSI</labl>
  </catgry>
  <catgry>
    <catValu>4203</catValu>
    <labl>Egyptian family planning association (EFPA)</labl>
  </catgry>
  <catgry>
    <catValu>4900</catValu>
    <labl>Other NGO</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>RELIGIOUS/MISSION</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Religious hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>5110</catValu>
    <labl>Religious hospital</labl>
  </catgry>
  <catgry>
    <catValu>5111</catValu>
    <labl>Religious referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>5112</catValu>
    <labl>Religious district hospital</labl>
  </catgry>
  <catgry>
    <catValu>5120</catValu>
    <labl>Religious clinic</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Religious health center/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>5210</catValu>
    <labl>Religious health center</labl>
  </catgry>
  <catgry>
    <catValu>5220</catValu>
    <labl>Religious dispensary</labl>
  </catgry>
  <catgry>
    <catValu>5300</catValu>
    <labl>Religious health post</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>6100</catValu>
    <labl>En route to provider</labl>
  </catgry>
  <catgry>
    <catValu>6200</catValu>
    <labl>Outside</labl>
  </catgry>
  <catgry>
    <catValu>6300</catValu>
    <labl>Abroad</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>5900</catValu>
    <labl>Other religious/mission</labl>
  </catgry>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARE_ALL" name="W_ANCARE_ALL" files="W" intrvl="discrete">
  <labl>Received prenatal care</labl>
  <imputation>Received prenatal care</imputation>
  <security>Received prenatal care</security>
  <embargo>Received prenatal care</embargo>
  <respUnit>Received prenatal care</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>ANCARE_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, ANCARE_ALL indicates whether the woman received antenatal care. ANCARE_ALL variables are the inverse of the ANCARENONE_ALL (M2N_X) variables.

ANCARE_ALL consists of a set of up to six separate variables, covering the most recent birth (ANCARE_01) up to the sixth-most-recent birth (i.e., ANCARE_02, ANCARE_03, ANCARE_04, ANCARE_05, and ANCARE_06) during the reference period prior to the survey.  If ANCARE_ALL is included in a data extract, all these separate variables are included in a researcher's data file.</txt>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARE_01" name="W_ANCARE_01" files="W" intrvl="discrete">
  <labl>Received prenatal care (last birth)</labl>
  <imputation>Received prenatal care (last birth)</imputation>
  <security>Received prenatal care (last birth)</security>
  <embargo>Received prenatal care (last birth)</embargo>
  <respUnit>Received prenatal care (last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARE_02" name="W_ANCARE_02" files="W" intrvl="discrete">
  <labl>Received prenatal care (second to last birth)</labl>
  <imputation>Received prenatal care (second to last birth)</imputation>
  <security>Received prenatal care (second to last birth)</security>
  <embargo>Received prenatal care (second to last birth)</embargo>
  <respUnit>Received prenatal care (second to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARE_03" name="W_ANCARE_03" files="W" intrvl="discrete">
  <labl>Received prenatal care (third to last birth)</labl>
  <imputation>Received prenatal care (third to last birth)</imputation>
  <security>Received prenatal care (third to last birth)</security>
  <embargo>Received prenatal care (third to last birth)</embargo>
  <respUnit>Received prenatal care (third to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARE_04" name="W_ANCARE_04" files="W" intrvl="discrete">
  <labl>Received prenatal care (fourth to last birth)</labl>
  <imputation>Received prenatal care (fourth to last birth)</imputation>
  <security>Received prenatal care (fourth to last birth)</security>
  <embargo>Received prenatal care (fourth to last birth)</embargo>
  <respUnit>Received prenatal care (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARE_05" name="W_ANCARE_05" files="W" intrvl="discrete">
  <labl>Received prenatal care (fifth to last birth)</labl>
  <imputation>Received prenatal care (fifth to last birth)</imputation>
  <security>Received prenatal care (fifth to last birth)</security>
  <embargo>Received prenatal care (fifth to last birth)</embargo>
  <respUnit>Received prenatal care (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARE_06" name="W_ANCARE_06" files="W" intrvl="discrete">
  <labl>Received prenatal care (sixth to last birth)</labl>
  <imputation>Received prenatal care (sixth to last birth)</imputation>
  <security>Received prenatal care (sixth to last birth)</security>
  <embargo>Received prenatal care (sixth to last birth)</embargo>
  <respUnit>Received prenatal care (sixth to last birth)</respUnit>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARD_ALL" name="W_ANCARD_ALL" files="W" intrvl="discrete">
  <labl>Antenatal card for pregnancy</labl>
  <imputation>Antenatal card for pregnancy</imputation>
  <security>Antenatal card for pregnancy</security>
  <embargo>Antenatal card for pregnancy</embargo>
  <respUnit>Antenatal card for pregnancy</respUnit>
  <qstn>
    <qstnLit>406) Were you given an antenatal card or booklet for this pregnancy?

YES 1
NO 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>ANCARD_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, ANCARD_ALL (M12_x) indicates whether they received an antenatal card for a pregnancy. Those who did not see anyone for antenatal care were assumed to have no antenatal card. 

ANCARD_ALL consists of a set of six separate variables, covering the most recent birth (ANCARD_01) up to the sixth-most-recent birth (i.e., ANCARD_02, ANCARD_03, ANCARD_04, ANCARD_05, and ANCARD_06) during the reference period prior to the survey.  If ANCARD_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For most surveys, information for this variable was collected on all births, up to a maximum of six, in the reference period; exceptions in which data were collected on only the most recent birth(s) are noted in the comparability section. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then ANCARD_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARD_01" name="W_ANCARD_01" files="W" intrvl="discrete">
  <labl>Antenatal card for pregnancy (last birth)</labl>
  <imputation>Antenatal card for pregnancy (last birth)</imputation>
  <security>Antenatal card for pregnancy (last birth)</security>
  <embargo>Antenatal card for pregnancy (last birth)</embargo>
  <respUnit>Antenatal card for pregnancy (last birth)</respUnit>
  <qstn>
    <qstnLit>406) Were you given an antenatal card or booklet for this pregnancy?

YES 1
NO 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, card seen</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, card not seen</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, ANCARD_01 (M12_1) indicates whether they received an antenatal card (for the last birth). Those who did not see anyone for antenatal care were assumed to have no antenatal card.</txt>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARD_02" name="W_ANCARD_02" files="W" intrvl="discrete">
  <labl>Antenatal card for pregnancy (second to last birth)</labl>
  <imputation>Antenatal card for pregnancy (second to last birth)</imputation>
  <security>Antenatal card for pregnancy (second to last birth)</security>
  <embargo>Antenatal card for pregnancy (second to last birth)</embargo>
  <respUnit>Antenatal card for pregnancy (second to last birth)</respUnit>
  <qstn>
    <qstnLit>406) Were you given an antenatal card or booklet for this pregnancy?

YES 1
NO 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, card seen</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, card not seen</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARD_03" name="W_ANCARD_03" files="W" intrvl="discrete">
  <labl>Antenatal card for pregnancy (third to last birth)</labl>
  <imputation>Antenatal card for pregnancy (third to last birth)</imputation>
  <security>Antenatal card for pregnancy (third to last birth)</security>
  <embargo>Antenatal card for pregnancy (third to last birth)</embargo>
  <respUnit>Antenatal card for pregnancy (third to last birth)</respUnit>
  <qstn>
    <qstnLit>406) Were you given an antenatal card or booklet for this pregnancy?

YES 1
NO 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, card seen</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, card not seen</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARD_04" name="W_ANCARD_04" files="W" intrvl="discrete">
  <labl>Antenatal card for pregnancy (fourth to last birth)</labl>
  <imputation>Antenatal card for pregnancy (fourth to last birth)</imputation>
  <security>Antenatal card for pregnancy (fourth to last birth)</security>
  <embargo>Antenatal card for pregnancy (fourth to last birth)</embargo>
  <respUnit>Antenatal card for pregnancy (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>406) Were you given an antenatal card or booklet for this pregnancy?

YES 1
NO 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, card seen</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, card not seen</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARD_05" name="W_ANCARD_05" files="W" intrvl="discrete">
  <labl>Antenatal card for pregnancy (fifth to last birth)</labl>
  <imputation>Antenatal card for pregnancy (fifth to last birth)</imputation>
  <security>Antenatal card for pregnancy (fifth to last birth)</security>
  <embargo>Antenatal card for pregnancy (fifth to last birth)</embargo>
  <respUnit>Antenatal card for pregnancy (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>406) Were you given an antenatal card or booklet for this pregnancy?

YES 1
NO 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, card seen</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, card not seen</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARD_06" name="W_ANCARD_06" files="W" intrvl="discrete">
  <labl>Antenatal card for pregnancy (sixth to last birth)</labl>
  <imputation>Antenatal card for pregnancy (sixth to last birth)</imputation>
  <security>Antenatal card for pregnancy (sixth to last birth)</security>
  <embargo>Antenatal card for pregnancy (sixth to last birth)</embargo>
  <respUnit>Antenatal card for pregnancy (sixth to last birth)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, card seen</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, card not seen</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANVISMO_ALL" name="W_ANVISMO_ALL" files="W" intrvl="discrete">
  <labl>Timing of first antenatal visit for the pregnancy: Months</labl>
  <imputation>Timing of first antenatal visit for the pregnancy: Months</imputation>
  <security>Timing of first antenatal visit for the pregnancy: Months</security>
  <embargo>Timing of first antenatal visit for the pregnancy: Months</embargo>
  <respUnit>Timing of first antenatal visit for the pregnancy: Months</respUnit>
  <qstn>
    <qstnLit>407) How many months pregnant were you when you first saw someone for a consultation concerning this pregnancy?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>ANVISMO_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years and saw someone for antenatal care (ANCARE_ALL), ANVISMO_ALL (M13_x) reports the timing of the first antenatal visit, in months from the start of the pregnancy. Women who did not see anyone for antenatal care during the pregnancy are coded 0.

ANVISMO_ALL consists of a set of six separate variables, covering the most recent birth (ANVISMO_01) up to the sixth-most-recent birth (i.e., ANVISMO_02, ANVISMO_03, ANVISMO_04, ANVISMO_05, and ANVISMO_06) during the reference period prior to the survey.  If ANVISMO_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For many surveys, particularly those taken after 2000, this information was collected for only the most recent birth (ANVISMO_01) and, in some cases, the second-most-recent birth (ANVISMO_02).  Surveys in which the data were collected for only the most recent birth(s) are noted in the comparability section. 

For other surveys, information for this variable was collected on all births, up to a maximum of six, in the reference period; exceptions in which data were collected on only the most recent birth(s) are noted in the comparability section. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then ANVISMO_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANVISMO_01" name="W_ANVISMO_01" files="W" intrvl="discrete">
  <labl>Timing of first antenatal visit for the pregnancy: Months (last birth)</labl>
  <imputation>Timing of first antenatal visit for the pregnancy: Months (last birth)</imputation>
  <security>Timing of first antenatal visit for the pregnancy: Months (last birth)</security>
  <embargo>Timing of first antenatal visit for the pregnancy: Months (last birth)</embargo>
  <respUnit>Timing of first antenatal visit for the pregnancy: Months (last birth)</respUnit>
  <qstn>
    <qstnLit>407) How many months pregnant were you when you first saw someone for a consultation concerning this pregnancy?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Less than 1 month pregnant</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>See ANVISMO_ALL.</txt>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANVISMO_02" name="W_ANVISMO_02" files="W" intrvl="discrete">
  <labl>Timing of first antenatal visit for the pregnancy: Months (second to last birth)</labl>
  <imputation>Timing of first antenatal visit for the pregnancy: Months (second to last birth)</imputation>
  <security>Timing of first antenatal visit for the pregnancy: Months (second to last birth)</security>
  <embargo>Timing of first antenatal visit for the pregnancy: Months (second to last birth)</embargo>
  <respUnit>Timing of first antenatal visit for the pregnancy: Months (second to last birth)</respUnit>
  <qstn>
    <qstnLit>407) How many months pregnant were you when you first saw someone for a consultation concerning this pregnancy?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Less than 1 month pregnant</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANVISMO_03" name="W_ANVISMO_03" files="W" intrvl="discrete">
  <labl>Timing of first antenatal visit for the pregnancy: Months (third to last birth)</labl>
  <imputation>Timing of first antenatal visit for the pregnancy: Months (third to last birth)</imputation>
  <security>Timing of first antenatal visit for the pregnancy: Months (third to last birth)</security>
  <embargo>Timing of first antenatal visit for the pregnancy: Months (third to last birth)</embargo>
  <respUnit>Timing of first antenatal visit for the pregnancy: Months (third to last birth)</respUnit>
  <qstn>
    <qstnLit>407) How many months pregnant were you when you first saw someone for a consultation concerning this pregnancy?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Less than 1 month pregnant</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANVISMO_04" name="W_ANVISMO_04" files="W" intrvl="discrete">
  <labl>Timing of first antenatal visit for the pregnancy: Months (fourth to last birth)</labl>
  <imputation>Timing of first antenatal visit for the pregnancy: Months (fourth to last birth)</imputation>
  <security>Timing of first antenatal visit for the pregnancy: Months (fourth to last birth)</security>
  <embargo>Timing of first antenatal visit for the pregnancy: Months (fourth to last birth)</embargo>
  <respUnit>Timing of first antenatal visit for the pregnancy: Months (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>407) How many months pregnant were you when you first saw someone for a consultation concerning this pregnancy?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Less than 1 month pregnant</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANVISMO_05" name="W_ANVISMO_05" files="W" intrvl="discrete">
  <labl>Timing of first antenatal visit for the pregnancy: Months (fifth to last birth)</labl>
  <imputation>Timing of first antenatal visit for the pregnancy: Months (fifth to last birth)</imputation>
  <security>Timing of first antenatal visit for the pregnancy: Months (fifth to last birth)</security>
  <embargo>Timing of first antenatal visit for the pregnancy: Months (fifth to last birth)</embargo>
  <respUnit>Timing of first antenatal visit for the pregnancy: Months (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>407) How many months pregnant were you when you first saw someone for a consultation concerning this pregnancy?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Less than 1 month pregnant</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANVISMO_06" name="W_ANVISMO_06" files="W" intrvl="discrete">
  <labl>Timing of first antenatal visit for the pregnancy: Months (sixth to last birth)</labl>
  <imputation>Timing of first antenatal visit for the pregnancy: Months (sixth to last birth)</imputation>
  <security>Timing of first antenatal visit for the pregnancy: Months (sixth to last birth)</security>
  <embargo>Timing of first antenatal visit for the pregnancy: Months (sixth to last birth)</embargo>
  <respUnit>Timing of first antenatal visit for the pregnancy: Months (sixth to last birth)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>Less than 1 month pregnant</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANVISNO_ALL" name="W_ANVISNO_ALL" files="W" intrvl="discrete">
  <labl>Number of antenatal visits during the pregnancy</labl>
  <imputation>Number of antenatal visits during the pregnancy</imputation>
  <security>Number of antenatal visits during the pregnancy</security>
  <embargo>Number of antenatal visits during the pregnancy</embargo>
  <respUnit>Number of antenatal visits during the pregnancy</respUnit>
  <qstn>
    <qstnLit>408) How many antenatal visits did you have during this pregnancy?

NUMBER: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>ANVISNO_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, ANVISNO_ALL (M14_x) reports the number of antenatal visits. Women who did not see anyone for antenatal care during the pregnancy are coded 0.

ANVISNO_ALL consists of a set of six separate variables, covering the most recent birth (ANVISNO_01) up to the sixth-most-recent birth (i.e., ANVISNO_02, ANVISNO_03, ANVISNO_04, ANVISNO_05, and ANVISNO_06) during the reference period prior to the survey.  If ANVISNO_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For many surveys, particularly those taken after 2000, this information was collected for only the most recent birth (ANVISNO_01) and, in some cases, the second-most-recent birth (ANVISNO_02).  Surveys in which the data were collected for only the most recent birth are noted in the comparability section. 

For other surveys, information for this variable was collected on all births, up to a maximum of six, in the reference period; exceptions in which data were collected on only the most recent birth(s) are noted in the comparability section. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then ANVISNO_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANVISNO_01" name="W_ANVISNO_01" files="W" intrvl="discrete">
  <labl>Number of antenatal visits during the pregnancy (last birth)</labl>
  <imputation>Number of antenatal visits during the pregnancy (last birth)</imputation>
  <security>Number of antenatal visits during the pregnancy (last birth)</security>
  <embargo>Number of antenatal visits during the pregnancy (last birth)</embargo>
  <respUnit>Number of antenatal visits during the pregnancy (last birth)</respUnit>
  <qstn>
    <qstnLit>408) How many antenatal visits did you have during this pregnancy?

NUMBER: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>See ANVISNO_ALL.</txt>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANVISNO_02" name="W_ANVISNO_02" files="W" intrvl="discrete">
  <labl>Number of antenatal visits during the pregnancy (second to last birth)</labl>
  <imputation>Number of antenatal visits during the pregnancy (second to last birth)</imputation>
  <security>Number of antenatal visits during the pregnancy (second to last birth)</security>
  <embargo>Number of antenatal visits during the pregnancy (second to last birth)</embargo>
  <respUnit>Number of antenatal visits during the pregnancy (second to last birth)</respUnit>
  <qstn>
    <qstnLit>408) How many antenatal visits did you have during this pregnancy?

NUMBER: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANVISNO_03" name="W_ANVISNO_03" files="W" intrvl="discrete">
  <labl>Number of antenatal visits during the pregnancy (third to last birth)</labl>
  <imputation>Number of antenatal visits during the pregnancy (third to last birth)</imputation>
  <security>Number of antenatal visits during the pregnancy (third to last birth)</security>
  <embargo>Number of antenatal visits during the pregnancy (third to last birth)</embargo>
  <respUnit>Number of antenatal visits during the pregnancy (third to last birth)</respUnit>
  <qstn>
    <qstnLit>408) How many antenatal visits did you have during this pregnancy?

NUMBER: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANVISNO_04" name="W_ANVISNO_04" files="W" intrvl="discrete">
  <labl>Number of antenatal visits during the pregnancy (fourth to last birth)</labl>
  <imputation>Number of antenatal visits during the pregnancy (fourth to last birth)</imputation>
  <security>Number of antenatal visits during the pregnancy (fourth to last birth)</security>
  <embargo>Number of antenatal visits during the pregnancy (fourth to last birth)</embargo>
  <respUnit>Number of antenatal visits during the pregnancy (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>408) How many antenatal visits did you have during this pregnancy?

NUMBER: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
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    <labl>71</labl>
  </catgry>
  <catgry>
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    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
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  <catgry>
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    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANVISNO_05" name="W_ANVISNO_05" files="W" intrvl="discrete">
  <labl>Number of antenatal visits during the pregnancy (fifth to last birth)</labl>
  <imputation>Number of antenatal visits during the pregnancy (fifth to last birth)</imputation>
  <security>Number of antenatal visits during the pregnancy (fifth to last birth)</security>
  <embargo>Number of antenatal visits during the pregnancy (fifth to last birth)</embargo>
  <respUnit>Number of antenatal visits during the pregnancy (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>408) How many antenatal visits did you have during this pregnancy?

NUMBER: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
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    <labl>54</labl>
  </catgry>
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    <labl>55</labl>
  </catgry>
  <catgry>
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    <labl>56</labl>
  </catgry>
  <catgry>
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    <labl>57</labl>
  </catgry>
  <catgry>
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    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
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    <labl>61</labl>
  </catgry>
  <catgry>
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    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANVISNO_06" name="W_ANVISNO_06" files="W" intrvl="discrete">
  <labl>Number of antenatal visits during the pregnancy (sixth to last birth)</labl>
  <imputation>Number of antenatal visits during the pregnancy (sixth to last birth)</imputation>
  <security>Number of antenatal visits during the pregnancy (sixth to last birth)</security>
  <embargo>Number of antenatal visits during the pregnancy (sixth to last birth)</embargo>
  <respUnit>Number of antenatal visits during the pregnancy (sixth to last birth)</respUnit>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANVISNOTOP20_ALL" name="W_ANVISNOTOP20_ALL" files="W" intrvl="discrete">
  <labl>Topcoded number of antenatal visits</labl>
  <imputation>Topcoded number of antenatal visits</imputation>
  <security>Topcoded number of antenatal visits</security>
  <embargo>Topcoded number of antenatal visits</embargo>
  <respUnit>Topcoded number of antenatal visits</respUnit>
  <qstn>
    <qstnLit>408) How many antenatal visits did you have during this pregnancy?

NUMBER: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>ANVISNOTOP20_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the three to five years before the survey, ANVISNOTOP20_ALL reports the number of antenatal visits, topcoded at 20+ visits. Women who did not see anyone for antenatal care during the pregnancy are coded 0. The related variables for ANVISNO_ALL supply the same material without imposing a consistent topcode.

ANVISNOTOP20_ALL consists of a set of six separate variables, covering the most recent birth (ANVISNOTOP20_01) up to the sixth-most-recent birth (i.e., ANVISNOTOP20_02, ANVISNOTOP20_03, ANVISNOTOP20_04, ANVISNOTOP20_05, and ANVISNOTOP20_06) during the reference period prior to the survey.  If ANVISNOTOP20_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For many surveys, particularly those taken after 2000, this information was collected for only the most recent birth (ANVISNOTOP20_01) and, in some cases, the second-most-recent birth (ANVISNOTOP20_02).  Surveys in which the data were collected for only the most recent birth are noted in the comparability section. 

For other surveys, information for this variable was collected on all births, up to a maximum of six, in the reference period; exceptions in which data were collected on only the most recent birth(s) are noted in the comparability section. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then ANVISNOTOP20_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANVISNOTOP20_01" name="W_ANVISNOTOP20_01" files="W" intrvl="discrete">
  <labl>Number of antenatal visits during the pregnancy, topcoded at 20 (last birth)</labl>
  <imputation>Number of antenatal visits during the pregnancy, topcoded at 20 (last birth)</imputation>
  <security>Number of antenatal visits during the pregnancy, topcoded at 20 (last birth)</security>
  <embargo>Number of antenatal visits during the pregnancy, topcoded at 20 (last birth)</embargo>
  <respUnit>Number of antenatal visits during the pregnancy, topcoded at 20 (last birth)</respUnit>
  <qstn>
    <qstnLit>408) How many antenatal visits did you have during this pregnancy?

NUMBER: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20+</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>See ANVISNOTOP20_ALL.</txt>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANVISNOTOP20_02" name="W_ANVISNOTOP20_02" files="W" intrvl="discrete">
  <labl>Topcoded number of antenatal visits (second to last birth)</labl>
  <imputation>Topcoded number of antenatal visits (second to last birth)</imputation>
  <security>Topcoded number of antenatal visits (second to last birth)</security>
  <embargo>Topcoded number of antenatal visits (second to last birth)</embargo>
  <respUnit>Topcoded number of antenatal visits (second to last birth)</respUnit>
  <qstn>
    <qstnLit>408) How many antenatal visits did you have during this pregnancy?

NUMBER: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20+</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANVISNOTOP20_03" name="W_ANVISNOTOP20_03" files="W" intrvl="discrete">
  <labl>Topcoded number of antenatal visits (third to last birth)</labl>
  <imputation>Topcoded number of antenatal visits (third to last birth)</imputation>
  <security>Topcoded number of antenatal visits (third to last birth)</security>
  <embargo>Topcoded number of antenatal visits (third to last birth)</embargo>
  <respUnit>Topcoded number of antenatal visits (third to last birth)</respUnit>
  <qstn>
    <qstnLit>408) How many antenatal visits did you have during this pregnancy?

NUMBER: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20+</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANVISNOTOP20_04" name="W_ANVISNOTOP20_04" files="W" intrvl="discrete">
  <labl>Topcoded number of antenatal visits (fourth to last birth)</labl>
  <imputation>Topcoded number of antenatal visits (fourth to last birth)</imputation>
  <security>Topcoded number of antenatal visits (fourth to last birth)</security>
  <embargo>Topcoded number of antenatal visits (fourth to last birth)</embargo>
  <respUnit>Topcoded number of antenatal visits (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>408) How many antenatal visits did you have during this pregnancy?

NUMBER: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20+</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANVISNOTOP20_05" name="W_ANVISNOTOP20_05" files="W" intrvl="discrete">
  <labl>Topcoded number of antenatal visits (fifth to last birth)</labl>
  <imputation>Topcoded number of antenatal visits (fifth to last birth)</imputation>
  <security>Topcoded number of antenatal visits (fifth to last birth)</security>
  <embargo>Topcoded number of antenatal visits (fifth to last birth)</embargo>
  <respUnit>Topcoded number of antenatal visits (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>408) How many antenatal visits did you have during this pregnancy?

NUMBER: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20+</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANVISNOTOP20_06" name="W_ANVISNOTOP20_06" files="W" intrvl="discrete">
  <labl>Topcoded number of antenatal visits (sixth to last birth)</labl>
  <imputation>Topcoded number of antenatal visits (sixth to last birth)</imputation>
  <security>Topcoded number of antenatal visits (sixth to last birth)</security>
  <embargo>Topcoded number of antenatal visits (sixth to last birth)</embargo>
  <respUnit>Topcoded number of antenatal visits (sixth to last birth)</respUnit>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20+</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCAREDOC_ALL" name="W_ANCAREDOC_ALL" files="W" intrvl="discrete">
  <labl>Doctor gave prenatal care</labl>
  <imputation>Doctor gave prenatal care</imputation>
  <security>Doctor gave prenatal care</security>
  <embargo>Doctor gave prenatal care</embargo>
  <respUnit>Doctor gave prenatal care</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>ANCAREDOC_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, ANCAREDOC_ALL (M2A_x) indicates whether a doctor gave antenatal care. Women could report more than one type of healthcare (or traditional) provider. 

ANCAREDOC_ALL consists of a set of up to six separate variables, covering the most recent birth (ANCAREDOC_01) up to the sixth-most-recent birth (i.e., ANCAREDOC_02, ANCAREDOC_03, ANCAREDOC_04, ANCAREDOC_05, and ANCAREDOC_06) during the reference period prior to the survey.  If ANCAREDOC_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For many surveys, particularly those taken after 2000, this information on prenatal care from a doctor was collected for only the most recent birth (ANCAREDOC_01) and, in some cases, the second-most-recent birth (ANCAREDOC_02).  Surveys in which the data were collected for only the most recent births are noted in the comparability section. 

For other surveys, information for this variable was collected on all births, up to a maximum of six, in the reference period; exceptions in which data were collected on only the most recent birth(s) are noted in the comparability section. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then ANCAREDOC_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCAREDOC_01" name="W_ANCAREDOC_01" files="W" intrvl="discrete">
  <labl>Doctor gave prenatal care (last birth)</labl>
  <imputation>Doctor gave prenatal care (last birth)</imputation>
  <security>Doctor gave prenatal care (last birth)</security>
  <embargo>Doctor gave prenatal care (last birth)</embargo>
  <respUnit>Doctor gave prenatal care (last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, ANCAREDOC_01 (M2A_1) indicates whether a doctor gave antenatal care (for the last birth).

Women could report more than one type of healthcare (or traditional) provider.</txt>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCAREDOC_02" name="W_ANCAREDOC_02" files="W" intrvl="discrete">
  <labl>Doctor gave prenatal care (second to last birth)</labl>
  <imputation>Doctor gave prenatal care (second to last birth)</imputation>
  <security>Doctor gave prenatal care (second to last birth)</security>
  <embargo>Doctor gave prenatal care (second to last birth)</embargo>
  <respUnit>Doctor gave prenatal care (second to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCAREDOC_03" name="W_ANCAREDOC_03" files="W" intrvl="discrete">
  <labl>Doctor gave prenatal care (third to last birth)</labl>
  <imputation>Doctor gave prenatal care (third to last birth)</imputation>
  <security>Doctor gave prenatal care (third to last birth)</security>
  <embargo>Doctor gave prenatal care (third to last birth)</embargo>
  <respUnit>Doctor gave prenatal care (third to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCAREDOC_04" name="W_ANCAREDOC_04" files="W" intrvl="discrete">
  <labl>Doctor gave prenatal care (fourth to last birth)</labl>
  <imputation>Doctor gave prenatal care (fourth to last birth)</imputation>
  <security>Doctor gave prenatal care (fourth to last birth)</security>
  <embargo>Doctor gave prenatal care (fourth to last birth)</embargo>
  <respUnit>Doctor gave prenatal care (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCAREDOC_05" name="W_ANCAREDOC_05" files="W" intrvl="discrete">
  <labl>Doctor gave prenatal care (fifth to last birth)</labl>
  <imputation>Doctor gave prenatal care (fifth to last birth)</imputation>
  <security>Doctor gave prenatal care (fifth to last birth)</security>
  <embargo>Doctor gave prenatal care (fifth to last birth)</embargo>
  <respUnit>Doctor gave prenatal care (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCAREDOC_06" name="W_ANCAREDOC_06" files="W" intrvl="discrete">
  <labl>Doctor gave prenatal care (sixth to last birth)</labl>
  <imputation>Doctor gave prenatal care (sixth to last birth)</imputation>
  <security>Doctor gave prenatal care (sixth to last birth)</security>
  <embargo>Doctor gave prenatal care (sixth to last birth)</embargo>
  <respUnit>Doctor gave prenatal care (sixth to last birth)</respUnit>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARENURM_ALL" name="W_ANCARENURM_ALL" files="W" intrvl="discrete">
  <labl>Nurse/midwife gave prenatal care</labl>
  <imputation>Nurse/midwife gave prenatal care</imputation>
  <security>Nurse/midwife gave prenatal care</security>
  <embargo>Nurse/midwife gave prenatal care</embargo>
  <respUnit>Nurse/midwife gave prenatal care</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>ANCARENURM_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, ANCARENURM_ALL (M2B_x) indicates whether, in response to an open-ended question, they reported that a nurse or midwife (categories combined or not distinguished) gave antenatal care.

ANCARENURM_ALL consists of a set of up to six separate variables, covering the most recent birth (ANCARENURM_01) up to the sixth-most-recent birth (i.e., ANCARENURM_02, ANCARENURM_03, ANCARENURM_04, ANCARENURM_05, and ANCARENURM_06) during the reference period prior to the survey. If ANCARENURM_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For many surveys, particularly those taken after 2000, this information was collected for only the most recent birth (ANCARENURM_01) and, in a few cases, the second-most-recent birth (ANCARENURM_02).  Surveys in which the data were collected for only the most recent births are noted in the comparability section. 

For other surveys, information for this variable was collected on all births, up to a maximum of six, in the reference period; exceptions in which data were collected on only the most recent birth(s) are noted in the comparability section. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then ANCARENURM_06 would not be available for that survey in IPUMS-DHS.

Some samples in the "ANCARE" series, such as ANCARENURM_ALL, include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include separate response categories for nurse and midwife that could be combined to create the more comprehensive response category in ANCARENURM_ALL. See Comparability for more information on the specific categories included in this variable for relevant samples.</txt>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARENURM_01" name="W_ANCARENURM_01" files="W" intrvl="discrete">
  <labl>Nurse/midwife gave prenatal care (last birth)</labl>
  <imputation>Nurse/midwife gave prenatal care (last birth)</imputation>
  <security>Nurse/midwife gave prenatal care (last birth)</security>
  <embargo>Nurse/midwife gave prenatal care (last birth)</embargo>
  <respUnit>Nurse/midwife gave prenatal care (last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, ANCARENURM_01 (M2B_1) indicates whether, in response to an open-ended question, they reported that a nurse or midwife (categories combined or not distinguished) gave antenatal care (for the last birth).

Some samples in the "ANCARE" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include separate response categories for nurse and midwife that could be combined to create the more comprehensive response category in ANCARENURM. See Comparability for more information on the specific categories included in this variable for relevant samples.</txt>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARENURM_02" name="W_ANCARENURM_02" files="W" intrvl="discrete">
  <labl>Nurse/midwife gave prenatal care (second to last birth)</labl>
  <imputation>Nurse/midwife gave prenatal care (second to last birth)</imputation>
  <security>Nurse/midwife gave prenatal care (second to last birth)</security>
  <embargo>Nurse/midwife gave prenatal care (second to last birth)</embargo>
  <respUnit>Nurse/midwife gave prenatal care (second to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (don't know)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARENURM_03" name="W_ANCARENURM_03" files="W" intrvl="discrete">
  <labl>Nurse/midwife gave prenatal care (third to last birth)</labl>
  <imputation>Nurse/midwife gave prenatal care (third to last birth)</imputation>
  <security>Nurse/midwife gave prenatal care (third to last birth)</security>
  <embargo>Nurse/midwife gave prenatal care (third to last birth)</embargo>
  <respUnit>Nurse/midwife gave prenatal care (third to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (don't know)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARENURM_04" name="W_ANCARENURM_04" files="W" intrvl="discrete">
  <labl>Nurse/midwife gave prenatal care (fourth to last birth)</labl>
  <imputation>Nurse/midwife gave prenatal care (fourth to last birth)</imputation>
  <security>Nurse/midwife gave prenatal care (fourth to last birth)</security>
  <embargo>Nurse/midwife gave prenatal care (fourth to last birth)</embargo>
  <respUnit>Nurse/midwife gave prenatal care (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (don't know)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARENURM_05" name="W_ANCARENURM_05" files="W" intrvl="discrete">
  <labl>Nurse/midwife gave prenatal care (fifth to last birth)</labl>
  <imputation>Nurse/midwife gave prenatal care (fifth to last birth)</imputation>
  <security>Nurse/midwife gave prenatal care (fifth to last birth)</security>
  <embargo>Nurse/midwife gave prenatal care (fifth to last birth)</embargo>
  <respUnit>Nurse/midwife gave prenatal care (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (don't know)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARENURM_06" name="W_ANCARENURM_06" files="W" intrvl="discrete">
  <labl>Nurse/midwife gave prenatal care (sixth to last birth)</labl>
  <imputation>Nurse/midwife gave prenatal care (sixth to last birth)</imputation>
  <security>Nurse/midwife gave prenatal care (sixth to last birth)</security>
  <embargo>Nurse/midwife gave prenatal care (sixth to last birth)</embargo>
  <respUnit>Nurse/midwife gave prenatal care (sixth to last birth)</respUnit>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (don't know)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARETBA_ALL" name="W_ANCARETBA_ALL" files="W" intrvl="discrete">
  <labl>Traditional birth attendant gave prenatal care</labl>
  <imputation>Traditional birth attendant gave prenatal care</imputation>
  <security>Traditional birth attendant gave prenatal care</security>
  <embargo>Traditional birth attendant gave prenatal care</embargo>
  <respUnit>Traditional birth attendant gave prenatal care</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>ANCARETBA_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, ANCARETBA_ALL (M2G_x) indicates whether a traditional birth attendant gave antenatal care. Women could report more than one type of healthcare (or traditional) provider. 

ANCARETBA_ALL consists of a set of up to six separate variables, covering the most recent birth (ANCARETBA_01) up to the sixth-most-recent birth (i.e., ANCARETBA_02, ANCARETBA_03, ANCARETBA_04, ANCARETBA_05, and ANCARETBA_06) during the reference period prior to the survey.  If ANCARETBA_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For many surveys, particularly those taken after 2000, this information on prenatal care from a traditional birth attendant was collected for only the most recent birth (ANCARETBA_01) and, in some cases, the second-most-recent birth (ANCARETBA_02).  Surveys in which the data were collected for only the most recent births are noted in the comparability section. 

For other surveys, information for this variable was collected on all births, up to a maximum of six, in the reference period; exceptions in which data were collected on only the most recent birth(s) are noted in the comparability section. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then ANCARETBA_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARETBA_01" name="W_ANCARETBA_01" files="W" intrvl="discrete">
  <labl>Traditional birth attendant gave prenatal care (last birth)</labl>
  <imputation>Traditional birth attendant gave prenatal care (last birth)</imputation>
  <security>Traditional birth attendant gave prenatal care (last birth)</security>
  <embargo>Traditional birth attendant gave prenatal care (last birth)</embargo>
  <respUnit>Traditional birth attendant gave prenatal care (last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, ANCARETBA_01 (M2G_1) indicates whether a traditional birth attendant gave antenatal care (for the last birth). Wording for this response category varied across samples. See Comparability.

Women could report more than one type of healthcare (or traditional) provider.</txt>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARETBA_02" name="W_ANCARETBA_02" files="W" intrvl="discrete">
  <labl>Traditional birth attendant gave prenatal care (second to last birth)</labl>
  <imputation>Traditional birth attendant gave prenatal care (second to last birth)</imputation>
  <security>Traditional birth attendant gave prenatal care (second to last birth)</security>
  <embargo>Traditional birth attendant gave prenatal care (second to last birth)</embargo>
  <respUnit>Traditional birth attendant gave prenatal care (second to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARETBA_03" name="W_ANCARETBA_03" files="W" intrvl="discrete">
  <labl>Traditional birth attendant gave prenatal care (third to last birth)</labl>
  <imputation>Traditional birth attendant gave prenatal care (third to last birth)</imputation>
  <security>Traditional birth attendant gave prenatal care (third to last birth)</security>
  <embargo>Traditional birth attendant gave prenatal care (third to last birth)</embargo>
  <respUnit>Traditional birth attendant gave prenatal care (third to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARETBA_04" name="W_ANCARETBA_04" files="W" intrvl="discrete">
  <labl>Traditional birth attendant gave prenatal care (fourth to last birth)</labl>
  <imputation>Traditional birth attendant gave prenatal care (fourth to last birth)</imputation>
  <security>Traditional birth attendant gave prenatal care (fourth to last birth)</security>
  <embargo>Traditional birth attendant gave prenatal care (fourth to last birth)</embargo>
  <respUnit>Traditional birth attendant gave prenatal care (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARETBA_05" name="W_ANCARETBA_05" files="W" intrvl="discrete">
  <labl>Traditional birth attendant gave prenatal care (fifth to last birth)</labl>
  <imputation>Traditional birth attendant gave prenatal care (fifth to last birth)</imputation>
  <security>Traditional birth attendant gave prenatal care (fifth to last birth)</security>
  <embargo>Traditional birth attendant gave prenatal care (fifth to last birth)</embargo>
  <respUnit>Traditional birth attendant gave prenatal care (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARETBA_06" name="W_ANCARETBA_06" files="W" intrvl="discrete">
  <labl>Traditional birth attendant gave prenatal care (sixth to last birth)</labl>
  <imputation>Traditional birth attendant gave prenatal care (sixth to last birth)</imputation>
  <security>Traditional birth attendant gave prenatal care (sixth to last birth)</security>
  <embargo>Traditional birth attendant gave prenatal care (sixth to last birth)</embargo>
  <respUnit>Traditional birth attendant gave prenatal care (sixth to last birth)</respUnit>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARETRBA_ALL" name="W_ANCARETRBA_ALL" files="W" intrvl="discrete">
  <labl>Trained traditional birth attendant gave prenatal care</labl>
  <imputation>Trained traditional birth attendant gave prenatal care</imputation>
  <security>Trained traditional birth attendant gave prenatal care</security>
  <embargo>Trained traditional birth attendant gave prenatal care</embargo>
  <respUnit>Trained traditional birth attendant gave prenatal care</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>ANCARETRBA_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, ANCARETRBA_ALL (M2F_x) indicates whether a trained traditional birth attendant gave antenatal care for the birth. Women could report more than one type of healthcare (or traditional) provider. 

ANCARETRBA_ALL consists of a set of up to six separate variables, covering the most recent birth (ANCARETRBA_01) up to the sixth-most-recent birth (i.e., ANCARETRBA_02, ANCARETRBA_03, ANCARETRBA_04, ANCARETRBA_05, and ANCARETRBA_06) during the reference period prior to the survey.  If ANCARETRBA_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For many surveys, particularly those taken after 2000, this information was collected for only the most recent birth (ANCARETRBA_01).  Surveys in which the data were collected for only the most recent birth are noted in the comparability section. 

For other surveys, information for this variable was collected on all births, up to a maximum of six, in the reference period; exceptions in which data were collected on only the most recent birth(s) are noted in the comparability section. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then ANCARETRBA_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARETRBA_01" name="W_ANCARETRBA_01" files="W" intrvl="discrete">
  <labl>Trained traditional birth attendant gave prenatal care (last birth)</labl>
  <imputation>Trained traditional birth attendant gave prenatal care (last birth)</imputation>
  <security>Trained traditional birth attendant gave prenatal care (last birth)</security>
  <embargo>Trained traditional birth attendant gave prenatal care (last birth)</embargo>
  <respUnit>Trained traditional birth attendant gave prenatal care (last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, ANCARETRBA_01 (M2F_1) indicates whether a trained (traditional) birth attendant gave antenatal care (for the last birth). Wording for this category varied across samples. See Comparability.

Women could report more than one type of healthcare (or traditional) provider.</txt>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARETRBA_02" name="W_ANCARETRBA_02" files="W" intrvl="discrete">
  <labl>Trained traditional birth attendant gave prenatal care (second to last birth)</labl>
  <imputation>Trained traditional birth attendant gave prenatal care (second to last birth)</imputation>
  <security>Trained traditional birth attendant gave prenatal care (second to last birth)</security>
  <embargo>Trained traditional birth attendant gave prenatal care (second to last birth)</embargo>
  <respUnit>Trained traditional birth attendant gave prenatal care (second to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARETRBA_03" name="W_ANCARETRBA_03" files="W" intrvl="discrete">
  <labl>Trained traditional birth attendant gave prenatal care (third to last birth)</labl>
  <imputation>Trained traditional birth attendant gave prenatal care (third to last birth)</imputation>
  <security>Trained traditional birth attendant gave prenatal care (third to last birth)</security>
  <embargo>Trained traditional birth attendant gave prenatal care (third to last birth)</embargo>
  <respUnit>Trained traditional birth attendant gave prenatal care (third to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARETRBA_04" name="W_ANCARETRBA_04" files="W" intrvl="discrete">
  <labl>Trained traditional birth attendant gave prenatal care (fourth to last birth)</labl>
  <imputation>Trained traditional birth attendant gave prenatal care (fourth to last birth)</imputation>
  <security>Trained traditional birth attendant gave prenatal care (fourth to last birth)</security>
  <embargo>Trained traditional birth attendant gave prenatal care (fourth to last birth)</embargo>
  <respUnit>Trained traditional birth attendant gave prenatal care (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARETRBA_05" name="W_ANCARETRBA_05" files="W" intrvl="discrete">
  <labl>Trained traditional birth attendant gave prenatal care (fifth to last birth)</labl>
  <imputation>Trained traditional birth attendant gave prenatal care (fifth to last birth)</imputation>
  <security>Trained traditional birth attendant gave prenatal care (fifth to last birth)</security>
  <embargo>Trained traditional birth attendant gave prenatal care (fifth to last birth)</embargo>
  <respUnit>Trained traditional birth attendant gave prenatal care (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARETRBA_06" name="W_ANCARETRBA_06" files="W" intrvl="discrete">
  <labl>Trained traditional birth attendant gave prenatal care (sixth to last birth)</labl>
  <imputation>Trained traditional birth attendant gave prenatal care (sixth to last birth)</imputation>
  <security>Trained traditional birth attendant gave prenatal care (sixth to last birth)</security>
  <embargo>Trained traditional birth attendant gave prenatal care (sixth to last birth)</embargo>
  <respUnit>Trained traditional birth attendant gave prenatal care (sixth to last birth)</respUnit>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCAREOTH_ALL" name="W_ANCAREOTH_ALL" files="W" intrvl="discrete">
  <labl>Other person gave prenatal care</labl>
  <imputation>Other person gave prenatal care</imputation>
  <security>Other person gave prenatal care</security>
  <embargo>Other person gave prenatal care</embargo>
  <respUnit>Other person gave prenatal care</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>ANCAREOTH_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, ANCAREOTH_ALL (M2K_x) indicates whether some other type of person gave antenatal care. The meaning of "other" depends on the types of providers of antenatal care specified in a given survey. Women could report more than one type of healthcare (or traditional) provider. 

ANCAREOTH_ALL consists of a set of up to six separate variables, covering the most recent birth (ANCAREOTH_01) up to the sixth-most-recent birth (i.e., ANCAREOTH_02, ANCAREOTH_03, ANCAREOTH_04, ANCAREOTH_05, and ANCAREOTH_06) during the reference period prior to the survey.  If ANCAREOTH_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For many surveys, particularly those taken after 2000, this information on prenatal care from some other person was collected for only the most recent birth (ANCAREOTH_01) and, in some cases, the second-most-recent birth (ANCAREOTH_02).  Surveys in which the data were collected for only the most recent births are noted in the comparability section. 

For other surveys, information for this variable was collected on all births, up to a maximum of six, in the reference period; exceptions in which data were collected on only the most recent birth(s) are noted in the comparability section. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then ANCAREOTH_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCAREOTH_01" name="W_ANCAREOTH_01" files="W" intrvl="discrete">
  <labl>Other person gave prenatal care (last birth)</labl>
  <imputation>Other person gave prenatal care (last birth)</imputation>
  <security>Other person gave prenatal care (last birth)</security>
  <embargo>Other person gave prenatal care (last birth)</embargo>
  <respUnit>Other person gave prenatal care (last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, ANCAREOTH_01 (M2K_1) indicates whether some other person gave antenatal care (for the last birth). The meaning of "other" must be interpreted relative to the specific categories included in a given sample. 

Women could report more than one type of healthcare (or traditional) provider.</txt>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCAREOTH_02" name="W_ANCAREOTH_02" files="W" intrvl="discrete">
  <labl>Other person gave prenatal care (second to last birth)</labl>
  <imputation>Other person gave prenatal care (second to last birth)</imputation>
  <security>Other person gave prenatal care (second to last birth)</security>
  <embargo>Other person gave prenatal care (second to last birth)</embargo>
  <respUnit>Other person gave prenatal care (second to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCAREOTH_03" name="W_ANCAREOTH_03" files="W" intrvl="discrete">
  <labl>Other person gave prenatal care (third to last birth)</labl>
  <imputation>Other person gave prenatal care (third to last birth)</imputation>
  <security>Other person gave prenatal care (third to last birth)</security>
  <embargo>Other person gave prenatal care (third to last birth)</embargo>
  <respUnit>Other person gave prenatal care (third to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCAREOTH_04" name="W_ANCAREOTH_04" files="W" intrvl="discrete">
  <labl>Other person gave prenatal care (fourth to last birth)</labl>
  <imputation>Other person gave prenatal care (fourth to last birth)</imputation>
  <security>Other person gave prenatal care (fourth to last birth)</security>
  <embargo>Other person gave prenatal care (fourth to last birth)</embargo>
  <respUnit>Other person gave prenatal care (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCAREOTH_05" name="W_ANCAREOTH_05" files="W" intrvl="discrete">
  <labl>Other person gave prenatal care (fifth to last birth)</labl>
  <imputation>Other person gave prenatal care (fifth to last birth)</imputation>
  <security>Other person gave prenatal care (fifth to last birth)</security>
  <embargo>Other person gave prenatal care (fifth to last birth)</embargo>
  <respUnit>Other person gave prenatal care (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCAREOTH_06" name="W_ANCAREOTH_06" files="W" intrvl="discrete">
  <labl>Other person gave prenatal care (sixth to last birth)</labl>
  <imputation>Other person gave prenatal care (sixth to last birth)</imputation>
  <security>Other person gave prenatal care (sixth to last birth)</security>
  <embargo>Other person gave prenatal care (sixth to last birth)</embargo>
  <respUnit>Other person gave prenatal care (sixth to last birth)</respUnit>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARENONE_ALL" name="W_ANCARENONE_ALL" files="W" intrvl="discrete">
  <labl>Received no prenatal care</labl>
  <imputation>Received no prenatal care</imputation>
  <security>Received no prenatal care</security>
  <embargo>Received no prenatal care</embargo>
  <respUnit>Received no prenatal care</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>ANCARENONE_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, ANCARENONE_ALL (M2N_x) indicates whether no one gave antenatal care. The structure of the question varied across samples. See Comparability. 

ANCARENONE_ALL consists of a set of up to six separate variables, covering the most recent birth (ANCARENONE_01) up to the sixth-most-recent birth (i.e., ANCARENONE_02, ANCARENONE_03, ANCARENONE_04, ANCARENONE_05, and ANCAaRENONE_06) during the reference period prior to the survey.  If ANCARENONE_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For many surveys, particularly those taken after 2000, this information was collected for only the most recent birth (ANCARENONE_01) and, in some cases, the second-most-recent birth (ANCARENONE_02).  Surveys in which the data were collected for only the most recent birth are noted in the comparability section. 

For other surveys, information for this variable was collected on all births, up to a maximum of six, in the reference period; exceptions in which data were collected on only the most recent birth(s) are noted in the comparability section. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then ANCARENONE_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARENONE_01" name="W_ANCARENONE_01" files="W" intrvl="discrete">
  <labl>Received no prenatal care (last birth)</labl>
  <imputation>Received no prenatal care (last birth)</imputation>
  <security>Received no prenatal care (last birth)</security>
  <embargo>Received no prenatal care (last birth)</embargo>
  <respUnit>Received no prenatal care (last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, ANCARENONE_01 (M2N_1) indicates whether no one gave antenatal care (for the last birth). The structure of the question varied across samples. See Comparability.</txt>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARENONE_02" name="W_ANCARENONE_02" files="W" intrvl="discrete">
  <labl>Received no prenatal care (second to last birth)</labl>
  <imputation>Received no prenatal care (second to last birth)</imputation>
  <security>Received no prenatal care (second to last birth)</security>
  <embargo>Received no prenatal care (second to last birth)</embargo>
  <respUnit>Received no prenatal care (second to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARENONE_03" name="W_ANCARENONE_03" files="W" intrvl="discrete">
  <labl>Received no prenatal care (third to last birth)</labl>
  <imputation>Received no prenatal care (third to last birth)</imputation>
  <security>Received no prenatal care (third to last birth)</security>
  <embargo>Received no prenatal care (third to last birth)</embargo>
  <respUnit>Received no prenatal care (third to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARENONE_04" name="W_ANCARENONE_04" files="W" intrvl="discrete">
  <labl>Received no prenatal care (fourth to last birth)</labl>
  <imputation>Received no prenatal care (fourth to last birth)</imputation>
  <security>Received no prenatal care (fourth to last birth)</security>
  <embargo>Received no prenatal care (fourth to last birth)</embargo>
  <respUnit>Received no prenatal care (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARENONE_05" name="W_ANCARENONE_05" files="W" intrvl="discrete">
  <labl>Received no prenatal care (fifth to last birth)</labl>
  <imputation>Received no prenatal care (fifth to last birth)</imputation>
  <security>Received no prenatal care (fifth to last birth)</security>
  <embargo>Received no prenatal care (fifth to last birth)</embargo>
  <respUnit>Received no prenatal care (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANCARENONE_06" name="W_ANCARENONE_06" files="W" intrvl="discrete">
  <labl>Received no prenatal care (sixth to last birth)</labl>
  <imputation>Received no prenatal care (sixth to last birth)</imputation>
  <security>Received no prenatal care (sixth to last birth)</security>
  <embargo>Received no prenatal care (sixth to last birth)</embargo>
  <respUnit>Received no prenatal care (sixth to last birth)</respUnit>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANTETNUS_ALL" name="W_ANTETNUS_ALL" files="W" intrvl="discrete">
  <labl>Tetanus injection before birth</labl>
  <imputation>Tetanus injection before birth</imputation>
  <security>Tetanus injection before birth</security>
  <embargo>Tetanus injection before birth</embargo>
  <respUnit>Tetanus injection before birth</respUnit>
  <qstn>
    <qstnLit>410) How many times did you get this injection?

NUMBER: ___
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>ANTETNUS_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, ANTETNUS_ALL indicates whether tetanus (toxicoid) injections were given during the pregnancy to avoid convulsions after birth.

ANTETNUS_ALL consists of a set of up to six separate variables, covering the most recent birth (ANTETNUS_01) up to, potentially, the sixth-most-recent birth (i.e., ANTETNUS_02, ANTETNUS_03, ANTETNUS_04, ANTETNUS_05, and ANTETNUS_06) during the reference period prior to the survey.  If ANTETNUS_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For many surveys, particularly those taken after 2000, this information on receipt of tetanus injections during pregnancy was collected for only the most recent birth (ANTETNUS_01) and, in some cases, the second-most-recent birth (ANTETNUS_02).  Surveys in which the data were collected for only the most recent births are noted in the comparability section. 

For other surveys, information for this variable was collected on all births, up to a maximum of six, in the reference period; exceptions in which data were collected on only the most recent birth(s) are noted in the comparability section. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then ANTETNUS_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANTETNUS_01" name="W_ANTETNUS_01" files="W" intrvl="discrete">
  <labl>Tetanus injection before birth (last birth)</labl>
  <imputation>Tetanus injection before birth (last birth)</imputation>
  <security>Tetanus injection before birth (last birth)</security>
  <embargo>Tetanus injection before birth (last birth)</embargo>
  <respUnit>Tetanus injection before birth (last birth)</respUnit>
  <qstn>
    <qstnLit>410) How many times did you get this injection?

NUMBER: ___
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, ANTETNUS_01 indicates whether tetanus (toxicoid) injections were given during the pregnancy to avoid convulsions after birth (for the last birth).</txt>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANTETNUS_02" name="W_ANTETNUS_02" files="W" intrvl="discrete">
  <labl>Tetanus injection before birth (second to last  birth)</labl>
  <imputation>Tetanus injection before birth (second to last  birth)</imputation>
  <security>Tetanus injection before birth (second to last  birth)</security>
  <embargo>Tetanus injection before birth (second to last  birth)</embargo>
  <respUnit>Tetanus injection before birth (second to last  birth)</respUnit>
  <qstn>
    <qstnLit>410) How many times did you get this injection?

NUMBER: ___
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANTETNUS_03" name="W_ANTETNUS_03" files="W" intrvl="discrete">
  <labl>Tetanus injection before birth (third to last  birth)</labl>
  <imputation>Tetanus injection before birth (third to last  birth)</imputation>
  <security>Tetanus injection before birth (third to last  birth)</security>
  <embargo>Tetanus injection before birth (third to last  birth)</embargo>
  <respUnit>Tetanus injection before birth (third to last  birth)</respUnit>
  <qstn>
    <qstnLit>410) How many times did you get this injection?

NUMBER: ___
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANTETNUS_04" name="W_ANTETNUS_04" files="W" intrvl="discrete">
  <labl>Tetanus injection before birth (fourth to last  birth)</labl>
  <imputation>Tetanus injection before birth (fourth to last  birth)</imputation>
  <security>Tetanus injection before birth (fourth to last  birth)</security>
  <embargo>Tetanus injection before birth (fourth to last  birth)</embargo>
  <respUnit>Tetanus injection before birth (fourth to last  birth)</respUnit>
  <qstn>
    <qstnLit>410) How many times did you get this injection?

NUMBER: ___
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANTETNUS_05" name="W_ANTETNUS_05" files="W" intrvl="discrete">
  <labl>Tetanus injection before birth (fifth to last  birth)</labl>
  <imputation>Tetanus injection before birth (fifth to last  birth)</imputation>
  <security>Tetanus injection before birth (fifth to last  birth)</security>
  <embargo>Tetanus injection before birth (fifth to last  birth)</embargo>
  <respUnit>Tetanus injection before birth (fifth to last  birth)</respUnit>
  <qstn>
    <qstnLit>410) How many times did you get this injection?

NUMBER: ___
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANTETNUS_06" name="W_ANTETNUS_06" files="W" intrvl="discrete">
  <labl>Tetanus injection before birth (sixth to last  birth)</labl>
  <imputation>Tetanus injection before birth (sixth to last  birth)</imputation>
  <security>Tetanus injection before birth (sixth to last  birth)</security>
  <embargo>Tetanus injection before birth (sixth to last  birth)</embargo>
  <respUnit>Tetanus injection before birth (sixth to last  birth)</respUnit>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANTETNUSNO_ALL" name="W_ANTETNUSNO_ALL" files="W" intrvl="discrete">
  <labl>Number of tetanus injections during pregnancy</labl>
  <imputation>Number of tetanus injections during pregnancy</imputation>
  <security>Number of tetanus injections during pregnancy</security>
  <embargo>Number of tetanus injections during pregnancy</embargo>
  <respUnit>Number of tetanus injections during pregnancy</respUnit>
  <qstn>
    <qstnLit>410) How many times did you get this injection?

NUMBER: ___
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>ANTETNUSNO_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, ANTETNUSNO_ALL (M1_x) indicates whether, and how many, tetanus (toxicoid) injections were given during the pregnancy to avoid convulsions after birth (for the last birth). For a similar variable that only reports whether a tetanus injection was received, see ANTETNUS_ALL.

ANTETNUSNO_ALL consists of a set of up to six separate variables, covering the most recent birth (ANTETNUSNO_01) up to, potentially, the sixth-most-recent birth (i.e., ANTETNUSNO_02, ANTETNUSNO_03, ANTETNUSNO_04, ANTETNUSNO_05, and ANTETNUSNO_06) during the reference period prior to the survey.  If ANTETNUSNO_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For many surveys, particularly those taken after 2000, this information was collected for only the most recent birth (ANTETNUSNO_01) and, in some cases, the second-most-recent birth (ANTETNUSNO_02).  Surveys in which the data were collected for only the most recent births are noted in the comparability section. 

For other surveys, information for this variable was collected on all births, up to a maximum of six, in the reference period; exceptions in which data were collected on only the most recent birth(s) are noted in the comparability section. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then ANTETNUSNO_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANTETNUSNO_01" name="W_ANTETNUSNO_01" files="W" intrvl="discrete">
  <labl>Number of tetanus injections before birth (last birth)</labl>
  <imputation>Number of tetanus injections before birth (last birth)</imputation>
  <security>Number of tetanus injections before birth (last birth)</security>
  <embargo>Number of tetanus injections before birth (last birth)</embargo>
  <respUnit>Number of tetanus injections before birth (last birth)</respUnit>
  <qstn>
    <qstnLit>410) How many times did you get this injection?

NUMBER: ___
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7+</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>See ANTETNUSNO_ALL.</txt>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANTETNUSNO_02" name="W_ANTETNUSNO_02" files="W" intrvl="discrete">
  <labl>Number of tetanus injections during pregnancy (second to last birth)</labl>
  <imputation>Number of tetanus injections during pregnancy (second to last birth)</imputation>
  <security>Number of tetanus injections during pregnancy (second to last birth)</security>
  <embargo>Number of tetanus injections during pregnancy (second to last birth)</embargo>
  <respUnit>Number of tetanus injections during pregnancy (second to last birth)</respUnit>
  <qstn>
    <qstnLit>410) How many times did you get this injection?

NUMBER: ___
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7+</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANTETNUSNO_03" name="W_ANTETNUSNO_03" files="W" intrvl="discrete">
  <labl>Number of tetanus injections during pregnancy (third to last birth)</labl>
  <imputation>Number of tetanus injections during pregnancy (third to last birth)</imputation>
  <security>Number of tetanus injections during pregnancy (third to last birth)</security>
  <embargo>Number of tetanus injections during pregnancy (third to last birth)</embargo>
  <respUnit>Number of tetanus injections during pregnancy (third to last birth)</respUnit>
  <qstn>
    <qstnLit>410) How many times did you get this injection?

NUMBER: ___
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7+</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANTETNUSNO_04" name="W_ANTETNUSNO_04" files="W" intrvl="discrete">
  <labl>Number of tetanus injections during pregnancy (fourth to last birth)</labl>
  <imputation>Number of tetanus injections during pregnancy (fourth to last birth)</imputation>
  <security>Number of tetanus injections during pregnancy (fourth to last birth)</security>
  <embargo>Number of tetanus injections during pregnancy (fourth to last birth)</embargo>
  <respUnit>Number of tetanus injections during pregnancy (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>410) How many times did you get this injection?

NUMBER: ___
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7+</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANTETNUSNO_05" name="W_ANTETNUSNO_05" files="W" intrvl="discrete">
  <labl>Number of tetanus injections during pregnancy (fifth to last birth)</labl>
  <imputation>Number of tetanus injections during pregnancy (fifth to last birth)</imputation>
  <security>Number of tetanus injections during pregnancy (fifth to last birth)</security>
  <embargo>Number of tetanus injections during pregnancy (fifth to last birth)</embargo>
  <respUnit>Number of tetanus injections during pregnancy (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>410) How many times did you get this injection?

NUMBER: ___
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7+</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ANTETNUSNO_06" name="W_ANTETNUSNO_06" files="W" intrvl="discrete">
  <labl>Number of tetanus injections during pregnancy (sixth to last birth)</labl>
  <imputation>Number of tetanus injections during pregnancy (sixth to last birth)</imputation>
  <security>Number of tetanus injections during pregnancy (sixth to last birth)</security>
  <embargo>Number of tetanus injections during pregnancy (sixth to last birth)</embargo>
  <respUnit>Number of tetanus injections during pregnancy (sixth to last birth)</respUnit>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7+</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Maternal antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPAMENNOW" name="W_PPAMENNOW" files="W" intrvl="discrete">
  <labl>Woman currently postpartum amenorrheic</labl>
  <imputation>Woman currently postpartum amenorrheic</imputation>
  <security>Woman currently postpartum amenorrheic</security>
  <embargo>Woman currently postpartum amenorrheic</embargo>
  <respUnit>Woman currently postpartum amenorrheic</respUnit>
  <qstn>
    <qstnLit>418) FOR MOST RECENT BIRTH ONLY: Has your period returned after the birth of (NAME)?

YES 1(GO TO 420)
NO 2 (GO TO 421)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>PPAMENNOW (V405) reports whether the woman is currently postpartum amenorrheic. This variable is created from the maternity history by checking if menstruation resumed after birth. Women who are currently pregnant (irrespective of whether the woman's period returned after her last birth) and women who did not have births in the last three to five years are automatically reported as not currently amenorrheic, and coded "No" (code 0). 

When children or births are the unit of analysis, this variable describes a characteristic of the mother, which causes all children of the mother to be coded the same way.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPABSTAINNOW" name="W_PPABSTAINNOW" files="W" intrvl="discrete">
  <labl>Woman currently postpartum abstaining</labl>
  <imputation>Woman currently postpartum abstaining</imputation>
  <security>Woman currently postpartum abstaining</security>
  <embargo>Woman currently postpartum abstaining</embargo>
  <respUnit>Woman currently postpartum abstaining</respUnit>
  <qstn>
    <qstnLit>422) FOR MOST RECENT BIRTH: Have you resumed sexual relations since the birth of (NAME)?

YES 1
NO 2 (GO TO 424)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <txt>PPABSTAINNOW (V406) reports whether the woman is currently postpartum abstaining from sex. This variable is created from the maternity history by checking if the respondent has resumed sexual relations since her last birth. Women who did not have births in the last three to five years are automatically reported as not currently abstaining, and coded "No" (code 0). 

When children or births are the unit of analysis, this variable describes a characteristic of the mother, which causes all children of the mother to be coded the same way.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIDX_ALL" name="W_BIDX_ALL" files="W" intrvl="discrete">
  <labl>Birth index history number</labl>
  <imputation>Birth index history number</imputation>
  <security>Birth index history number</security>
  <embargo>Birth index history number</embargo>
  <respUnit>Birth index history number</respUnit>
  <qstn>
    <qstnLit>211) Now I would like to talk to you about your children, whether they are still alive or not, beginning with the first birth that you had.

(IN 212 WRITE THE NAME OF EACH CHILD, WRITING THE NAMES OF TWINS OR TRIPLETS ON SEPARATE LINES)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>BIDX_ALL available</labl>
  </catgry>
  <txt>BIDX_ALL reports the index number of the child in the mother's birth history, from 1 to n, where the nth birth is the mother's first birth, and 1 is the most recently born child. Up to 20 births could be reported by a woman. After saying "Now I would like to record the names of all your births, whether still alive or not, starting with the first one you had," the interviewer recorded each child's name in turn on successively numbered lines printed in the "Reproduction" section of the individual woman's questionnaire.

When women are the unit of analysis, all of their children's characteristics are reported using the index number of the birth history. For example, variables ending with "_01" always refer to the most recent birth. This means that BIDX_01 will always equal "1," BIDX_02 will always equal "2," and so on.

Combined with CASEID, BIDX_ALL uniquely identifies births within a sample. Combined with IDHSPID, BIDX_ALL uniquely identifies births across samples. Using these variables, data users can link IPUMS-DHS data to original DHS child-level (KR) and birth-level (BR) datasets.

BIDX_ALL consists of a set of twenty separate variables, covering the most recent birth (BIDX_01) up to the twentieth-most-recent birth (BIDX_20) for a female respondent of childbearing age.  If BIDX_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

Information for this variable was collected on all births for a woman, up to a maximum of twenty. In many cases, data were hypothetically collected on up to twenty births, but no women in the survey had so many births (e.g., no woman had 19 or 20 births). If, for example, no woman in a survey had 20 births and only blank values were included in the original DHS file, then BIDX_20 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIDX_01" name="W_BIDX_01" files="W" intrvl="discrete">
  <labl>Birth index history number (last-born child)</labl>
  <imputation>Birth index history number (last-born child)</imputation>
  <security>Birth index history number (last-born child)</security>
  <embargo>Birth index history number (last-born child)</embargo>
  <respUnit>Birth index history number (last-born child)</respUnit>
  <qstn>
    <qstnLit>211) Now I would like to talk to you about your children, whether they are still alive or not, beginning with the first birth that you had.

(IN 212 WRITE THE NAME OF EACH CHILD, WRITING THE NAMES OF TWINS OR TRIPLETS ON SEPARATE LINES)</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIDX_02" name="W_BIDX_02" files="W" intrvl="discrete">
  <labl>Birth index history number (second-to-last-born child)</labl>
  <imputation>Birth index history number (second-to-last-born child)</imputation>
  <security>Birth index history number (second-to-last-born child)</security>
  <embargo>Birth index history number (second-to-last-born child)</embargo>
  <respUnit>Birth index history number (second-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>211) Now I would like to talk to you about your children, whether they are still alive or not, beginning with the first birth that you had.

(IN 212 WRITE THE NAME OF EACH CHILD, WRITING THE NAMES OF TWINS OR TRIPLETS ON SEPARATE LINES)</qstnLit>
  </qstn>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIDX_03" name="W_BIDX_03" files="W" intrvl="discrete">
  <labl>Birth index history number (third-to-last-born child)</labl>
  <imputation>Birth index history number (third-to-last-born child)</imputation>
  <security>Birth index history number (third-to-last-born child)</security>
  <embargo>Birth index history number (third-to-last-born child)</embargo>
  <respUnit>Birth index history number (third-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>211) Now I would like to talk to you about your children, whether they are still alive or not, beginning with the first birth that you had.

(IN 212 WRITE THE NAME OF EACH CHILD, WRITING THE NAMES OF TWINS OR TRIPLETS ON SEPARATE LINES)</qstnLit>
  </qstn>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIDX_04" name="W_BIDX_04" files="W" intrvl="discrete">
  <labl>Birth index history number (fourth-to-last-born child)</labl>
  <imputation>Birth index history number (fourth-to-last-born child)</imputation>
  <security>Birth index history number (fourth-to-last-born child)</security>
  <embargo>Birth index history number (fourth-to-last-born child)</embargo>
  <respUnit>Birth index history number (fourth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>211) Now I would like to talk to you about your children, whether they are still alive or not, beginning with the first birth that you had.

(IN 212 WRITE THE NAME OF EACH CHILD, WRITING THE NAMES OF TWINS OR TRIPLETS ON SEPARATE LINES)</qstnLit>
  </qstn>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIDX_05" name="W_BIDX_05" files="W" intrvl="discrete">
  <labl>Birth index history number (fifth-to-last-born child)</labl>
  <imputation>Birth index history number (fifth-to-last-born child)</imputation>
  <security>Birth index history number (fifth-to-last-born child)</security>
  <embargo>Birth index history number (fifth-to-last-born child)</embargo>
  <respUnit>Birth index history number (fifth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>211) Now I would like to talk to you about your children, whether they are still alive or not, beginning with the first birth that you had.

(IN 212 WRITE THE NAME OF EACH CHILD, WRITING THE NAMES OF TWINS OR TRIPLETS ON SEPARATE LINES)</qstnLit>
  </qstn>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIDX_06" name="W_BIDX_06" files="W" intrvl="discrete">
  <labl>Birth index history number (sixth-to-last-born child)</labl>
  <imputation>Birth index history number (sixth-to-last-born child)</imputation>
  <security>Birth index history number (sixth-to-last-born child)</security>
  <embargo>Birth index history number (sixth-to-last-born child)</embargo>
  <respUnit>Birth index history number (sixth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>211) Now I would like to talk to you about your children, whether they are still alive or not, beginning with the first birth that you had.

(IN 212 WRITE THE NAME OF EACH CHILD, WRITING THE NAMES OF TWINS OR TRIPLETS ON SEPARATE LINES)</qstnLit>
  </qstn>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIDX_07" name="W_BIDX_07" files="W" intrvl="discrete">
  <labl>Birth index history number (seventh-to-last-born child)</labl>
  <imputation>Birth index history number (seventh-to-last-born child)</imputation>
  <security>Birth index history number (seventh-to-last-born child)</security>
  <embargo>Birth index history number (seventh-to-last-born child)</embargo>
  <respUnit>Birth index history number (seventh-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>211) Now I would like to talk to you about your children, whether they are still alive or not, beginning with the first birth that you had.

(IN 212 WRITE THE NAME OF EACH CHILD, WRITING THE NAMES OF TWINS OR TRIPLETS ON SEPARATE LINES)</qstnLit>
  </qstn>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIDX_08" name="W_BIDX_08" files="W" intrvl="discrete">
  <labl>Birth index history number (eighth-to-last-born child)</labl>
  <imputation>Birth index history number (eighth-to-last-born child)</imputation>
  <security>Birth index history number (eighth-to-last-born child)</security>
  <embargo>Birth index history number (eighth-to-last-born child)</embargo>
  <respUnit>Birth index history number (eighth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>211) Now I would like to talk to you about your children, whether they are still alive or not, beginning with the first birth that you had.

(IN 212 WRITE THE NAME OF EACH CHILD, WRITING THE NAMES OF TWINS OR TRIPLETS ON SEPARATE LINES)</qstnLit>
  </qstn>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIDX_09" name="W_BIDX_09" files="W" intrvl="discrete">
  <labl>Birth index history number (ninth-to-last-born child)</labl>
  <imputation>Birth index history number (ninth-to-last-born child)</imputation>
  <security>Birth index history number (ninth-to-last-born child)</security>
  <embargo>Birth index history number (ninth-to-last-born child)</embargo>
  <respUnit>Birth index history number (ninth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>211) Now I would like to talk to you about your children, whether they are still alive or not, beginning with the first birth that you had.

(IN 212 WRITE THE NAME OF EACH CHILD, WRITING THE NAMES OF TWINS OR TRIPLETS ON SEPARATE LINES)</qstnLit>
  </qstn>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIDX_10" name="W_BIDX_10" files="W" intrvl="discrete">
  <labl>Birth index history number (tenth-to-last-born child)</labl>
  <imputation>Birth index history number (tenth-to-last-born child)</imputation>
  <security>Birth index history number (tenth-to-last-born child)</security>
  <embargo>Birth index history number (tenth-to-last-born child)</embargo>
  <respUnit>Birth index history number (tenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>211) Now I would like to talk to you about your children, whether they are still alive or not, beginning with the first birth that you had.

(IN 212 WRITE THE NAME OF EACH CHILD, WRITING THE NAMES OF TWINS OR TRIPLETS ON SEPARATE LINES)</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIDX_11" name="W_BIDX_11" files="W" intrvl="discrete">
  <labl>Birth index history number (eleventh-to-last-born child)</labl>
  <imputation>Birth index history number (eleventh-to-last-born child)</imputation>
  <security>Birth index history number (eleventh-to-last-born child)</security>
  <embargo>Birth index history number (eleventh-to-last-born child)</embargo>
  <respUnit>Birth index history number (eleventh-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>211) Now I would like to talk to you about your children, whether they are still alive or not, beginning with the first birth that you had.

(IN 212 WRITE THE NAME OF EACH CHILD, WRITING THE NAMES OF TWINS OR TRIPLETS ON SEPARATE LINES)</qstnLit>
  </qstn>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIDX_12" name="W_BIDX_12" files="W" intrvl="discrete">
  <labl>Birth index history number (twelfth-to-last-born child)</labl>
  <imputation>Birth index history number (twelfth-to-last-born child)</imputation>
  <security>Birth index history number (twelfth-to-last-born child)</security>
  <embargo>Birth index history number (twelfth-to-last-born child)</embargo>
  <respUnit>Birth index history number (twelfth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>211) Now I would like to talk to you about your children, whether they are still alive or not, beginning with the first birth that you had.

(IN 212 WRITE THE NAME OF EACH CHILD, WRITING THE NAMES OF TWINS OR TRIPLETS ON SEPARATE LINES)</qstnLit>
  </qstn>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIDX_13" name="W_BIDX_13" files="W" intrvl="discrete">
  <labl>Birth index history number (thirteenth-to-last-born child)</labl>
  <imputation>Birth index history number (thirteenth-to-last-born child)</imputation>
  <security>Birth index history number (thirteenth-to-last-born child)</security>
  <embargo>Birth index history number (thirteenth-to-last-born child)</embargo>
  <respUnit>Birth index history number (thirteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>211) Now I would like to talk to you about your children, whether they are still alive or not, beginning with the first birth that you had.

(IN 212 WRITE THE NAME OF EACH CHILD, WRITING THE NAMES OF TWINS OR TRIPLETS ON SEPARATE LINES)</qstnLit>
  </qstn>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIDX_14" name="W_BIDX_14" files="W" intrvl="discrete">
  <labl>Birth index history number (fourteenth-to-last-born child)</labl>
  <imputation>Birth index history number (fourteenth-to-last-born child)</imputation>
  <security>Birth index history number (fourteenth-to-last-born child)</security>
  <embargo>Birth index history number (fourteenth-to-last-born child)</embargo>
  <respUnit>Birth index history number (fourteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>211) Now I would like to talk to you about your children, whether they are still alive or not, beginning with the first birth that you had.

(IN 212 WRITE THE NAME OF EACH CHILD, WRITING THE NAMES OF TWINS OR TRIPLETS ON SEPARATE LINES)</qstnLit>
  </qstn>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIDX_15" name="W_BIDX_15" files="W" intrvl="discrete">
  <labl>Birth index history number (fifteenth-to-last-born child)</labl>
  <imputation>Birth index history number (fifteenth-to-last-born child)</imputation>
  <security>Birth index history number (fifteenth-to-last-born child)</security>
  <embargo>Birth index history number (fifteenth-to-last-born child)</embargo>
  <respUnit>Birth index history number (fifteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>211) Now I would like to talk to you about your children, whether they are still alive or not, beginning with the first birth that you had.

(IN 212 WRITE THE NAME OF EACH CHILD, WRITING THE NAMES OF TWINS OR TRIPLETS ON SEPARATE LINES)</qstnLit>
  </qstn>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIDX_16" name="W_BIDX_16" files="W" intrvl="discrete">
  <labl>Birth index history number (sixteenth-to-last-born child)</labl>
  <imputation>Birth index history number (sixteenth-to-last-born child)</imputation>
  <security>Birth index history number (sixteenth-to-last-born child)</security>
  <embargo>Birth index history number (sixteenth-to-last-born child)</embargo>
  <respUnit>Birth index history number (sixteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>211) Now I would like to talk to you about your children, whether they are still alive or not, beginning with the first birth that you had.

(IN 212 WRITE THE NAME OF EACH CHILD, WRITING THE NAMES OF TWINS OR TRIPLETS ON SEPARATE LINES)</qstnLit>
  </qstn>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIDX_17" name="W_BIDX_17" files="W" intrvl="discrete">
  <labl>Birth index history number (seventeenth-to-last-born child)</labl>
  <imputation>Birth index history number (seventeenth-to-last-born child)</imputation>
  <security>Birth index history number (seventeenth-to-last-born child)</security>
  <embargo>Birth index history number (seventeenth-to-last-born child)</embargo>
  <respUnit>Birth index history number (seventeenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIDX_18" name="W_BIDX_18" files="W" intrvl="discrete">
  <labl>Birth index history number (eighteenth-to-last-born child)</labl>
  <imputation>Birth index history number (eighteenth-to-last-born child)</imputation>
  <security>Birth index history number (eighteenth-to-last-born child)</security>
  <embargo>Birth index history number (eighteenth-to-last-born child)</embargo>
  <respUnit>Birth index history number (eighteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIDX_19" name="W_BIDX_19" files="W" intrvl="discrete">
  <labl>Birth index history number (nineteenth-to-last-born child)</labl>
  <imputation>Birth index history number (nineteenth-to-last-born child)</imputation>
  <security>Birth index history number (nineteenth-to-last-born child)</security>
  <embargo>Birth index history number (nineteenth-to-last-born child)</embargo>
  <respUnit>Birth index history number (nineteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIDX_20" name="W_BIDX_20" files="W" intrvl="discrete">
  <labl>Birth index history number (twentieth-to-last-born child)</labl>
  <imputation>Birth index history number (twentieth-to-last-born child)</imputation>
  <security>Birth index history number (twentieth-to-last-born child)</security>
  <embargo>Birth index history number (twentieth-to-last-born child)</embargo>
  <respUnit>Birth index history number (twentieth-to-last-born child)</respUnit>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBORD_ALL" name="W_KIDBORD_ALL" files="W" intrvl="discrete">
  <labl>Child's birth order number</labl>
  <imputation>Child's birth order number</imputation>
  <security>Child's birth order number</security>
  <embargo>Child's birth order number</embargo>
  <respUnit>Child's birth order number</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>KIDBORD_ALL available</labl>
  </catgry>
  <txt>KIDBORD_ALL (BORD_x) reports the birth order in which the child was born, from 1 to n, where 1 equals the first child born to a mother, and the nth birth is the most recently born child. Up to 20 births could be reported by a woman.

KIDBORD_ALL consists of a set of twenty separate variables, covering the most recent birth (KIDBORD_01) up to the twentieth-most-recent birth (KIDBORD_20) for a female respondent of childbearing age.  If KIDBORD_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

Information for this variable was collected on all births for a woman, up to a maximum of twenty births. In many cases, data were hypothetically collected on up to twenty births, but no women in the survey had so many births (e.g., no woman had 19 or 20 births). If, for example, no woman in a survey had 20 births and only blank values were included in the original DHS file, then KIDBORD_20 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBORD_01" name="W_KIDBORD_01" files="W" intrvl="discrete">
  <labl>Child's birth order number (last-born child)</labl>
  <imputation>Child's birth order number (last-born child)</imputation>
  <security>Child's birth order number (last-born child)</security>
  <embargo>Child's birth order number (last-born child)</embargo>
  <respUnit>Child's birth order number (last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBORD_02" name="W_KIDBORD_02" files="W" intrvl="discrete">
  <labl>Child's birth order number (second-to-last-born child)</labl>
  <imputation>Child's birth order number (second-to-last-born child)</imputation>
  <security>Child's birth order number (second-to-last-born child)</security>
  <embargo>Child's birth order number (second-to-last-born child)</embargo>
  <respUnit>Child's birth order number (second-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBORD_03" name="W_KIDBORD_03" files="W" intrvl="discrete">
  <labl>Child's birth order number (third-to-last-born child)</labl>
  <imputation>Child's birth order number (third-to-last-born child)</imputation>
  <security>Child's birth order number (third-to-last-born child)</security>
  <embargo>Child's birth order number (third-to-last-born child)</embargo>
  <respUnit>Child's birth order number (third-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBORD_04" name="W_KIDBORD_04" files="W" intrvl="discrete">
  <labl>Child's birth order number (fourth-to-last-born child)</labl>
  <imputation>Child's birth order number (fourth-to-last-born child)</imputation>
  <security>Child's birth order number (fourth-to-last-born child)</security>
  <embargo>Child's birth order number (fourth-to-last-born child)</embargo>
  <respUnit>Child's birth order number (fourth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBORD_05" name="W_KIDBORD_05" files="W" intrvl="discrete">
  <labl>Child's birth order number (fifth-to-last-born child)</labl>
  <imputation>Child's birth order number (fifth-to-last-born child)</imputation>
  <security>Child's birth order number (fifth-to-last-born child)</security>
  <embargo>Child's birth order number (fifth-to-last-born child)</embargo>
  <respUnit>Child's birth order number (fifth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBORD_06" name="W_KIDBORD_06" files="W" intrvl="discrete">
  <labl>Child's birth order number (sixth-to-last-born child)</labl>
  <imputation>Child's birth order number (sixth-to-last-born child)</imputation>
  <security>Child's birth order number (sixth-to-last-born child)</security>
  <embargo>Child's birth order number (sixth-to-last-born child)</embargo>
  <respUnit>Child's birth order number (sixth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBORD_07" name="W_KIDBORD_07" files="W" intrvl="discrete">
  <labl>Child's birth order number (seventh-to-last-born child)</labl>
  <imputation>Child's birth order number (seventh-to-last-born child)</imputation>
  <security>Child's birth order number (seventh-to-last-born child)</security>
  <embargo>Child's birth order number (seventh-to-last-born child)</embargo>
  <respUnit>Child's birth order number (seventh-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBORD_08" name="W_KIDBORD_08" files="W" intrvl="discrete">
  <labl>Child's birth order number (eighth-to-last-born child)</labl>
  <imputation>Child's birth order number (eighth-to-last-born child)</imputation>
  <security>Child's birth order number (eighth-to-last-born child)</security>
  <embargo>Child's birth order number (eighth-to-last-born child)</embargo>
  <respUnit>Child's birth order number (eighth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBORD_09" name="W_KIDBORD_09" files="W" intrvl="discrete">
  <labl>Child's birth order number (ninth-to-last-born child)</labl>
  <imputation>Child's birth order number (ninth-to-last-born child)</imputation>
  <security>Child's birth order number (ninth-to-last-born child)</security>
  <embargo>Child's birth order number (ninth-to-last-born child)</embargo>
  <respUnit>Child's birth order number (ninth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBORD_10" name="W_KIDBORD_10" files="W" intrvl="discrete">
  <labl>Child's birth order number (tenth-to-last-born child)</labl>
  <imputation>Child's birth order number (tenth-to-last-born child)</imputation>
  <security>Child's birth order number (tenth-to-last-born child)</security>
  <embargo>Child's birth order number (tenth-to-last-born child)</embargo>
  <respUnit>Child's birth order number (tenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBORD_11" name="W_KIDBORD_11" files="W" intrvl="discrete">
  <labl>Child's birth order number (eleventh-to-last-born child)</labl>
  <imputation>Child's birth order number (eleventh-to-last-born child)</imputation>
  <security>Child's birth order number (eleventh-to-last-born child)</security>
  <embargo>Child's birth order number (eleventh-to-last-born child)</embargo>
  <respUnit>Child's birth order number (eleventh-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBORD_12" name="W_KIDBORD_12" files="W" intrvl="discrete">
  <labl>Child's birth order number (twelfth-to-last-born child)</labl>
  <imputation>Child's birth order number (twelfth-to-last-born child)</imputation>
  <security>Child's birth order number (twelfth-to-last-born child)</security>
  <embargo>Child's birth order number (twelfth-to-last-born child)</embargo>
  <respUnit>Child's birth order number (twelfth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBORD_13" name="W_KIDBORD_13" files="W" intrvl="discrete">
  <labl>Child's birth order number (thirteenth-to-last-born child)</labl>
  <imputation>Child's birth order number (thirteenth-to-last-born child)</imputation>
  <security>Child's birth order number (thirteenth-to-last-born child)</security>
  <embargo>Child's birth order number (thirteenth-to-last-born child)</embargo>
  <respUnit>Child's birth order number (thirteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBORD_14" name="W_KIDBORD_14" files="W" intrvl="discrete">
  <labl>Child's birth order number (fourteenth-to-last-born child)</labl>
  <imputation>Child's birth order number (fourteenth-to-last-born child)</imputation>
  <security>Child's birth order number (fourteenth-to-last-born child)</security>
  <embargo>Child's birth order number (fourteenth-to-last-born child)</embargo>
  <respUnit>Child's birth order number (fourteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBORD_15" name="W_KIDBORD_15" files="W" intrvl="discrete">
  <labl>Child's birth order number (fifteenth-to-last-born child)</labl>
  <imputation>Child's birth order number (fifteenth-to-last-born child)</imputation>
  <security>Child's birth order number (fifteenth-to-last-born child)</security>
  <embargo>Child's birth order number (fifteenth-to-last-born child)</embargo>
  <respUnit>Child's birth order number (fifteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBORD_16" name="W_KIDBORD_16" files="W" intrvl="discrete">
  <labl>Child's birth order number (sixteenth-to-last-born child)</labl>
  <imputation>Child's birth order number (sixteenth-to-last-born child)</imputation>
  <security>Child's birth order number (sixteenth-to-last-born child)</security>
  <embargo>Child's birth order number (sixteenth-to-last-born child)</embargo>
  <respUnit>Child's birth order number (sixteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBORD_17" name="W_KIDBORD_17" files="W" intrvl="discrete">
  <labl>Child's birth order number (seventeenth-to-last-born child)</labl>
  <imputation>Child's birth order number (seventeenth-to-last-born child)</imputation>
  <security>Child's birth order number (seventeenth-to-last-born child)</security>
  <embargo>Child's birth order number (seventeenth-to-last-born child)</embargo>
  <respUnit>Child's birth order number (seventeenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBORD_18" name="W_KIDBORD_18" files="W" intrvl="discrete">
  <labl>Child's birth order number (eighteenth-to-last-born child)</labl>
  <imputation>Child's birth order number (eighteenth-to-last-born child)</imputation>
  <security>Child's birth order number (eighteenth-to-last-born child)</security>
  <embargo>Child's birth order number (eighteenth-to-last-born child)</embargo>
  <respUnit>Child's birth order number (eighteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBORD_19" name="W_KIDBORD_19" files="W" intrvl="discrete">
  <labl>Child's birth order number (nineteenth-to-last-born child)</labl>
  <imputation>Child's birth order number (nineteenth-to-last-born child)</imputation>
  <security>Child's birth order number (nineteenth-to-last-born child)</security>
  <embargo>Child's birth order number (nineteenth-to-last-born child)</embargo>
  <respUnit>Child's birth order number (nineteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBORD_20" name="W_KIDBORD_20" files="W" intrvl="discrete">
  <labl>Child's birth order number (twentieth-to-last-born child)</labl>
  <imputation>Child's birth order number (twentieth-to-last-born child)</imputation>
  <security>Child's birth order number (twentieth-to-last-born child)</security>
  <embargo>Child's birth order number (twentieth-to-last-born child)</embargo>
  <respUnit>Child's birth order number (twentieth-to-last-born child)</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDTWIN_ALL" name="W_KIDTWIN_ALL" files="W" intrvl="discrete">
  <labl>Child is a twin or single birth</labl>
  <imputation>Child is a twin or single birth</imputation>
  <security>Child is a twin or single birth</security>
  <embargo>Child is a twin or single birth</embargo>
  <respUnit>Child is a twin or single birth</respUnit>
  <qstn>
    <qstnLit>213) When (NAME) was born, was he/she alone or did he/she have a twin?

SINGLE 1
MULTIPLE 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>KIDTWIN_ALL available</labl>
  </catgry>
  <txt>KIDTWIN_ALL (B0_x) reports whether the child is a twin (or born in a multiple birth) or is a singleton (single) birth.

KIDTWIN_ALL consists of a set of twenty separate variables, covering the most recent birth (KIDTWIN_01) up to the twentieth-most-recent birth (KIDTWIN_20) for a female respondent of childbearing age.  If KIDTWIN_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

Information for this variable was collected on all births for a woman, up to a maximum of twenty. In many cases, data were hypothetically collected on up to twenty births, but no women in the survey had so many births (e.g., no woman had 19 or 20 births). If, for example, no woman in a survey had 20 births and only blank values were included in the original DHS file, then KIDTWIN_20 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDTWIN_01" name="W_KIDTWIN_01" files="W" intrvl="discrete">
  <labl>Child is a twin or single birth (last-born child)</labl>
  <imputation>Child is a twin or single birth (last-born child)</imputation>
  <security>Child is a twin or single birth (last-born child)</security>
  <embargo>Child is a twin or single birth (last-born child)</embargo>
  <respUnit>Child is a twin or single birth (last-born child)</respUnit>
  <qstn>
    <qstnLit>213) When (NAME) was born, was he/she alone or did he/she have a twin?

SINGLE 1
MULTIPLE 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Single birth</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Twin or multiple</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>1st of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>2nd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>3rd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>4th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>5th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>6th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDTWIN_02" name="W_KIDTWIN_02" files="W" intrvl="discrete">
  <labl>Child is a twin or single birth (second-to-last-born child)</labl>
  <imputation>Child is a twin or single birth (second-to-last-born child)</imputation>
  <security>Child is a twin or single birth (second-to-last-born child)</security>
  <embargo>Child is a twin or single birth (second-to-last-born child)</embargo>
  <respUnit>Child is a twin or single birth (second-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>213) When (NAME) was born, was he/she alone or did he/she have a twin?

SINGLE 1
MULTIPLE 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Single birth</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Twin or multiple</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>1st of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>2nd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>3rd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>4th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>5th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>6th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDTWIN_03" name="W_KIDTWIN_03" files="W" intrvl="discrete">
  <labl>Child is a twin or single birth (third-to-last-born child)</labl>
  <imputation>Child is a twin or single birth (third-to-last-born child)</imputation>
  <security>Child is a twin or single birth (third-to-last-born child)</security>
  <embargo>Child is a twin or single birth (third-to-last-born child)</embargo>
  <respUnit>Child is a twin or single birth (third-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>213) When (NAME) was born, was he/she alone or did he/she have a twin?

SINGLE 1
MULTIPLE 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Single birth</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Twin or multiple</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>1st of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>2nd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>3rd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>4th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>5th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>6th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDTWIN_04" name="W_KIDTWIN_04" files="W" intrvl="discrete">
  <labl>Child is a twin or single birth (fourth-to-last-born child)</labl>
  <imputation>Child is a twin or single birth (fourth-to-last-born child)</imputation>
  <security>Child is a twin or single birth (fourth-to-last-born child)</security>
  <embargo>Child is a twin or single birth (fourth-to-last-born child)</embargo>
  <respUnit>Child is a twin or single birth (fourth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>213) When (NAME) was born, was he/she alone or did he/she have a twin?

SINGLE 1
MULTIPLE 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Single birth</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Twin or multiple</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>1st of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>2nd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>3rd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>4th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>5th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>6th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDTWIN_05" name="W_KIDTWIN_05" files="W" intrvl="discrete">
  <labl>Child is a twin or single birth (fifth-to-last-born child)</labl>
  <imputation>Child is a twin or single birth (fifth-to-last-born child)</imputation>
  <security>Child is a twin or single birth (fifth-to-last-born child)</security>
  <embargo>Child is a twin or single birth (fifth-to-last-born child)</embargo>
  <respUnit>Child is a twin or single birth (fifth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>213) When (NAME) was born, was he/she alone or did he/she have a twin?

SINGLE 1
MULTIPLE 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Single birth</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Twin or multiple</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>1st of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>2nd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>3rd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>4th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>5th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>6th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDTWIN_06" name="W_KIDTWIN_06" files="W" intrvl="discrete">
  <labl>Child is a twin or single birth (sixth-to-last-born child)</labl>
  <imputation>Child is a twin or single birth (sixth-to-last-born child)</imputation>
  <security>Child is a twin or single birth (sixth-to-last-born child)</security>
  <embargo>Child is a twin or single birth (sixth-to-last-born child)</embargo>
  <respUnit>Child is a twin or single birth (sixth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>213) When (NAME) was born, was he/she alone or did he/she have a twin?

SINGLE 1
MULTIPLE 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Single birth</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Twin or multiple</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>1st of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>2nd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>3rd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>4th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>5th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>6th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDTWIN_07" name="W_KIDTWIN_07" files="W" intrvl="discrete">
  <labl>Child is a twin or single birth (seventh-to-last-born child)</labl>
  <imputation>Child is a twin or single birth (seventh-to-last-born child)</imputation>
  <security>Child is a twin or single birth (seventh-to-last-born child)</security>
  <embargo>Child is a twin or single birth (seventh-to-last-born child)</embargo>
  <respUnit>Child is a twin or single birth (seventh-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>213) When (NAME) was born, was he/she alone or did he/she have a twin?

SINGLE 1
MULTIPLE 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Single birth</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Twin or multiple</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>1st of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>2nd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>3rd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>4th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>5th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>6th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDTWIN_08" name="W_KIDTWIN_08" files="W" intrvl="discrete">
  <labl>Child is a twin or single birth (eighth-to-last-born child)</labl>
  <imputation>Child is a twin or single birth (eighth-to-last-born child)</imputation>
  <security>Child is a twin or single birth (eighth-to-last-born child)</security>
  <embargo>Child is a twin or single birth (eighth-to-last-born child)</embargo>
  <respUnit>Child is a twin or single birth (eighth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>213) When (NAME) was born, was he/she alone or did he/she have a twin?

SINGLE 1
MULTIPLE 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Single birth</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Twin or multiple</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>1st of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>2nd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>3rd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>4th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>5th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>6th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDTWIN_09" name="W_KIDTWIN_09" files="W" intrvl="discrete">
  <labl>Child is a twin or single birth (ninth-to-last-born child)</labl>
  <imputation>Child is a twin or single birth (ninth-to-last-born child)</imputation>
  <security>Child is a twin or single birth (ninth-to-last-born child)</security>
  <embargo>Child is a twin or single birth (ninth-to-last-born child)</embargo>
  <respUnit>Child is a twin or single birth (ninth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>213) When (NAME) was born, was he/she alone or did he/she have a twin?

SINGLE 1
MULTIPLE 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Single birth</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Twin or multiple</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>1st of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>2nd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>3rd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>4th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>5th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>6th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDTWIN_10" name="W_KIDTWIN_10" files="W" intrvl="discrete">
  <labl>Child is a twin or single birth (tenth-to-last-born child)</labl>
  <imputation>Child is a twin or single birth (tenth-to-last-born child)</imputation>
  <security>Child is a twin or single birth (tenth-to-last-born child)</security>
  <embargo>Child is a twin or single birth (tenth-to-last-born child)</embargo>
  <respUnit>Child is a twin or single birth (tenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>213) When (NAME) was born, was he/she alone or did he/she have a twin?

SINGLE 1
MULTIPLE 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Single birth</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Twin or multiple</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>1st of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>2nd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>3rd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>4th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>5th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>6th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDTWIN_11" name="W_KIDTWIN_11" files="W" intrvl="discrete">
  <labl>Child is a twin or single birth (eleventh-to-last-born child)</labl>
  <imputation>Child is a twin or single birth (eleventh-to-last-born child)</imputation>
  <security>Child is a twin or single birth (eleventh-to-last-born child)</security>
  <embargo>Child is a twin or single birth (eleventh-to-last-born child)</embargo>
  <respUnit>Child is a twin or single birth (eleventh-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>213) When (NAME) was born, was he/she alone or did he/she have a twin?

SINGLE 1
MULTIPLE 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Single birth</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Twin or multiple</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>1st of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>2nd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>3rd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>4th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>5th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>6th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDTWIN_12" name="W_KIDTWIN_12" files="W" intrvl="discrete">
  <labl>Child is a twin or single birth (twelfth-to-last-born child)</labl>
  <imputation>Child is a twin or single birth (twelfth-to-last-born child)</imputation>
  <security>Child is a twin or single birth (twelfth-to-last-born child)</security>
  <embargo>Child is a twin or single birth (twelfth-to-last-born child)</embargo>
  <respUnit>Child is a twin or single birth (twelfth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>213) When (NAME) was born, was he/she alone or did he/she have a twin?

SINGLE 1
MULTIPLE 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Single birth</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Twin or multiple</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>1st of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>2nd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>3rd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>4th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>5th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>6th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDTWIN_13" name="W_KIDTWIN_13" files="W" intrvl="discrete">
  <labl>Child is a twin or single birth (thirteenth-to-last-born child)</labl>
  <imputation>Child is a twin or single birth (thirteenth-to-last-born child)</imputation>
  <security>Child is a twin or single birth (thirteenth-to-last-born child)</security>
  <embargo>Child is a twin or single birth (thirteenth-to-last-born child)</embargo>
  <respUnit>Child is a twin or single birth (thirteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>213) When (NAME) was born, was he/she alone or did he/she have a twin?

SINGLE 1
MULTIPLE 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Single birth</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Twin or multiple</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>1st of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>2nd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>3rd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>4th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>5th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>6th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDTWIN_14" name="W_KIDTWIN_14" files="W" intrvl="discrete">
  <labl>Child is a twin or single birth (fourteenth-to-last-born child)</labl>
  <imputation>Child is a twin or single birth (fourteenth-to-last-born child)</imputation>
  <security>Child is a twin or single birth (fourteenth-to-last-born child)</security>
  <embargo>Child is a twin or single birth (fourteenth-to-last-born child)</embargo>
  <respUnit>Child is a twin or single birth (fourteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>213) When (NAME) was born, was he/she alone or did he/she have a twin?

SINGLE 1
MULTIPLE 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Single birth</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Twin or multiple</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>1st of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>2nd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>3rd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>4th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>5th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>6th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDTWIN_15" name="W_KIDTWIN_15" files="W" intrvl="discrete">
  <labl>Child is a twin or single birth (fifteenth-to-last-born child)</labl>
  <imputation>Child is a twin or single birth (fifteenth-to-last-born child)</imputation>
  <security>Child is a twin or single birth (fifteenth-to-last-born child)</security>
  <embargo>Child is a twin or single birth (fifteenth-to-last-born child)</embargo>
  <respUnit>Child is a twin or single birth (fifteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>213) When (NAME) was born, was he/she alone or did he/she have a twin?

SINGLE 1
MULTIPLE 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Single birth</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Twin or multiple</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>1st of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>2nd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>3rd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>4th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>5th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>6th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDTWIN_16" name="W_KIDTWIN_16" files="W" intrvl="discrete">
  <labl>Child is a twin or single birth (sixteenth-to-last-born child)</labl>
  <imputation>Child is a twin or single birth (sixteenth-to-last-born child)</imputation>
  <security>Child is a twin or single birth (sixteenth-to-last-born child)</security>
  <embargo>Child is a twin or single birth (sixteenth-to-last-born child)</embargo>
  <respUnit>Child is a twin or single birth (sixteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>213) When (NAME) was born, was he/she alone or did he/she have a twin?

SINGLE 1
MULTIPLE 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Single birth</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Twin or multiple</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>1st of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>2nd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>3rd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>4th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>5th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>6th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDTWIN_17" name="W_KIDTWIN_17" files="W" intrvl="discrete">
  <labl>Child is a twin or single birth (seventeenth-to-last-born child)</labl>
  <imputation>Child is a twin or single birth (seventeenth-to-last-born child)</imputation>
  <security>Child is a twin or single birth (seventeenth-to-last-born child)</security>
  <embargo>Child is a twin or single birth (seventeenth-to-last-born child)</embargo>
  <respUnit>Child is a twin or single birth (seventeenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>Single birth</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Twin or multiple</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>1st of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>2nd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>3rd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>4th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>5th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>6th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDTWIN_18" name="W_KIDTWIN_18" files="W" intrvl="discrete">
  <labl>Child is a twin or single birth (eighteenth-to-last-born child)</labl>
  <imputation>Child is a twin or single birth (eighteenth-to-last-born child)</imputation>
  <security>Child is a twin or single birth (eighteenth-to-last-born child)</security>
  <embargo>Child is a twin or single birth (eighteenth-to-last-born child)</embargo>
  <respUnit>Child is a twin or single birth (eighteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>Single birth</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Twin or multiple</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>1st of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>2nd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>3rd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>4th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>5th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>6th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDTWIN_19" name="W_KIDTWIN_19" files="W" intrvl="discrete">
  <labl>Child is a twin or single birth (nineteenth-to-last-born child)</labl>
  <imputation>Child is a twin or single birth (nineteenth-to-last-born child)</imputation>
  <security>Child is a twin or single birth (nineteenth-to-last-born child)</security>
  <embargo>Child is a twin or single birth (nineteenth-to-last-born child)</embargo>
  <respUnit>Child is a twin or single birth (nineteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>Single birth</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Twin or multiple</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>1st of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>2nd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>3rd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>4th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>5th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>6th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDTWIN_20" name="W_KIDTWIN_20" files="W" intrvl="discrete">
  <labl>Child is a twin or single birth (twentieth-to-last-born child)</labl>
  <imputation>Child is a twin or single birth (twentieth-to-last-born child)</imputation>
  <security>Child is a twin or single birth (twentieth-to-last-born child)</security>
  <embargo>Child is a twin or single birth (twentieth-to-last-born child)</embargo>
  <respUnit>Child is a twin or single birth (twentieth-to-last-born child)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>Single birth</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Twin or multiple</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>1st of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>2nd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>3rd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>4th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>5th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>6th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHMO_ALL" name="W_KIDBIRTHMO_ALL" files="W" intrvl="discrete">
  <labl>Child's month of birth</labl>
  <imputation>Child's month of birth</imputation>
  <security>Child's month of birth</security>
  <embargo>Child's month of birth</embargo>
  <respUnit>Child's month of birth</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>KIDBIRTHMO_ALL available</labl>
  </catgry>
  <txt>KIDBIRTHMO_ALL (B1_x) reports the child's month of birth, according to the Gregorian calendar.

KIDBIRTHMO_ALL consists of a set of twenty separate variables, covering the most recent birth (KIDBIRTHMO_01) up to the twentieth-most-recent birth (KIDBIRTHMO_20) for a female respondent of childbearing age.  If KIDBIRTHMO_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

Information for this variable was collected on all births for a woman, up to a maximum of twenty births. In many cases, data were hypothetically collected on up to twenty births, but no women in the survey had so many births (e.g., no woman had 19 or 20 births). If, for example, no woman in a survey had 20 births and only blank values were included in the original DHS file, then KIDBIRTHMO_20 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHMO_01" name="W_KIDBIRTHMO_01" files="W" intrvl="discrete">
  <labl>Child's month of birth (last-born child)</labl>
  <imputation>Child's month of birth (last-born child)</imputation>
  <security>Child's month of birth (last-born child)</security>
  <embargo>Child's month of birth (last-born child)</embargo>
  <respUnit>Child's month of birth (last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHMO_02" name="W_KIDBIRTHMO_02" files="W" intrvl="discrete">
  <labl>Child's month of birth (second-to-last-born child)</labl>
  <imputation>Child's month of birth (second-to-last-born child)</imputation>
  <security>Child's month of birth (second-to-last-born child)</security>
  <embargo>Child's month of birth (second-to-last-born child)</embargo>
  <respUnit>Child's month of birth (second-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHMO_03" name="W_KIDBIRTHMO_03" files="W" intrvl="discrete">
  <labl>Child's month of birth (third-to-last-born child)</labl>
  <imputation>Child's month of birth (third-to-last-born child)</imputation>
  <security>Child's month of birth (third-to-last-born child)</security>
  <embargo>Child's month of birth (third-to-last-born child)</embargo>
  <respUnit>Child's month of birth (third-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHMO_04" name="W_KIDBIRTHMO_04" files="W" intrvl="discrete">
  <labl>Child's month of birth (fourth-to-last-born child)</labl>
  <imputation>Child's month of birth (fourth-to-last-born child)</imputation>
  <security>Child's month of birth (fourth-to-last-born child)</security>
  <embargo>Child's month of birth (fourth-to-last-born child)</embargo>
  <respUnit>Child's month of birth (fourth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHMO_05" name="W_KIDBIRTHMO_05" files="W" intrvl="discrete">
  <labl>Child's month of birth (fifth-to-last-born child)</labl>
  <imputation>Child's month of birth (fifth-to-last-born child)</imputation>
  <security>Child's month of birth (fifth-to-last-born child)</security>
  <embargo>Child's month of birth (fifth-to-last-born child)</embargo>
  <respUnit>Child's month of birth (fifth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHMO_06" name="W_KIDBIRTHMO_06" files="W" intrvl="discrete">
  <labl>Child's month of birth (sixth-to-last-born child)</labl>
  <imputation>Child's month of birth (sixth-to-last-born child)</imputation>
  <security>Child's month of birth (sixth-to-last-born child)</security>
  <embargo>Child's month of birth (sixth-to-last-born child)</embargo>
  <respUnit>Child's month of birth (sixth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHMO_07" name="W_KIDBIRTHMO_07" files="W" intrvl="discrete">
  <labl>Child's month of birth (seventh-to-last-born child)</labl>
  <imputation>Child's month of birth (seventh-to-last-born child)</imputation>
  <security>Child's month of birth (seventh-to-last-born child)</security>
  <embargo>Child's month of birth (seventh-to-last-born child)</embargo>
  <respUnit>Child's month of birth (seventh-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHMO_08" name="W_KIDBIRTHMO_08" files="W" intrvl="discrete">
  <labl>Child's month of birth (eighth-to-last-born child)</labl>
  <imputation>Child's month of birth (eighth-to-last-born child)</imputation>
  <security>Child's month of birth (eighth-to-last-born child)</security>
  <embargo>Child's month of birth (eighth-to-last-born child)</embargo>
  <respUnit>Child's month of birth (eighth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHMO_09" name="W_KIDBIRTHMO_09" files="W" intrvl="discrete">
  <labl>Child's month of birth (ninth-to-last-born child)</labl>
  <imputation>Child's month of birth (ninth-to-last-born child)</imputation>
  <security>Child's month of birth (ninth-to-last-born child)</security>
  <embargo>Child's month of birth (ninth-to-last-born child)</embargo>
  <respUnit>Child's month of birth (ninth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHMO_10" name="W_KIDBIRTHMO_10" files="W" intrvl="discrete">
  <labl>Child's month of birth (tenth-to-last-born child)</labl>
  <imputation>Child's month of birth (tenth-to-last-born child)</imputation>
  <security>Child's month of birth (tenth-to-last-born child)</security>
  <embargo>Child's month of birth (tenth-to-last-born child)</embargo>
  <respUnit>Child's month of birth (tenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHMO_11" name="W_KIDBIRTHMO_11" files="W" intrvl="discrete">
  <labl>Child's month of birth (eleventh-to-last-born child)</labl>
  <imputation>Child's month of birth (eleventh-to-last-born child)</imputation>
  <security>Child's month of birth (eleventh-to-last-born child)</security>
  <embargo>Child's month of birth (eleventh-to-last-born child)</embargo>
  <respUnit>Child's month of birth (eleventh-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHMO_12" name="W_KIDBIRTHMO_12" files="W" intrvl="discrete">
  <labl>Child's month of birth (twelfth-to-last-born child)</labl>
  <imputation>Child's month of birth (twelfth-to-last-born child)</imputation>
  <security>Child's month of birth (twelfth-to-last-born child)</security>
  <embargo>Child's month of birth (twelfth-to-last-born child)</embargo>
  <respUnit>Child's month of birth (twelfth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHMO_13" name="W_KIDBIRTHMO_13" files="W" intrvl="discrete">
  <labl>Child's month of birth (thirteenth-to-last-born child)</labl>
  <imputation>Child's month of birth (thirteenth-to-last-born child)</imputation>
  <security>Child's month of birth (thirteenth-to-last-born child)</security>
  <embargo>Child's month of birth (thirteenth-to-last-born child)</embargo>
  <respUnit>Child's month of birth (thirteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHMO_14" name="W_KIDBIRTHMO_14" files="W" intrvl="discrete">
  <labl>Child's month of birth (fourteenth-to-last-born child)</labl>
  <imputation>Child's month of birth (fourteenth-to-last-born child)</imputation>
  <security>Child's month of birth (fourteenth-to-last-born child)</security>
  <embargo>Child's month of birth (fourteenth-to-last-born child)</embargo>
  <respUnit>Child's month of birth (fourteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHMO_15" name="W_KIDBIRTHMO_15" files="W" intrvl="discrete">
  <labl>Child's month of birth (fifteenth-to-last-born child)</labl>
  <imputation>Child's month of birth (fifteenth-to-last-born child)</imputation>
  <security>Child's month of birth (fifteenth-to-last-born child)</security>
  <embargo>Child's month of birth (fifteenth-to-last-born child)</embargo>
  <respUnit>Child's month of birth (fifteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHMO_16" name="W_KIDBIRTHMO_16" files="W" intrvl="discrete">
  <labl>Child's month of birth (sixteenth-to-last-born child)</labl>
  <imputation>Child's month of birth (sixteenth-to-last-born child)</imputation>
  <security>Child's month of birth (sixteenth-to-last-born child)</security>
  <embargo>Child's month of birth (sixteenth-to-last-born child)</embargo>
  <respUnit>Child's month of birth (sixteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHMO_17" name="W_KIDBIRTHMO_17" files="W" intrvl="discrete">
  <labl>Child's month of birth (seventeenth-to-last-born child)</labl>
  <imputation>Child's month of birth (seventeenth-to-last-born child)</imputation>
  <security>Child's month of birth (seventeenth-to-last-born child)</security>
  <embargo>Child's month of birth (seventeenth-to-last-born child)</embargo>
  <respUnit>Child's month of birth (seventeenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHMO_18" name="W_KIDBIRTHMO_18" files="W" intrvl="discrete">
  <labl>Child's month of birth (eighteenth-to-last-born child)</labl>
  <imputation>Child's month of birth (eighteenth-to-last-born child)</imputation>
  <security>Child's month of birth (eighteenth-to-last-born child)</security>
  <embargo>Child's month of birth (eighteenth-to-last-born child)</embargo>
  <respUnit>Child's month of birth (eighteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHMO_19" name="W_KIDBIRTHMO_19" files="W" intrvl="discrete">
  <labl>Child's month of birth (nineteenth-to-last-born child)</labl>
  <imputation>Child's month of birth (nineteenth-to-last-born child)</imputation>
  <security>Child's month of birth (nineteenth-to-last-born child)</security>
  <embargo>Child's month of birth (nineteenth-to-last-born child)</embargo>
  <respUnit>Child's month of birth (nineteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHMO_20" name="W_KIDBIRTHMO_20" files="W" intrvl="discrete">
  <labl>Child's month of birth (twentieth-to-last-born child)</labl>
  <imputation>Child's month of birth (twentieth-to-last-born child)</imputation>
  <security>Child's month of birth (twentieth-to-last-born child)</security>
  <embargo>Child's month of birth (twentieth-to-last-born child)</embargo>
  <respUnit>Child's month of birth (twentieth-to-last-born child)</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHYR_ALL" name="W_KIDBIRTHYR_ALL" files="W" intrvl="discrete">
  <labl>Child's year of birth</labl>
  <imputation>Child's year of birth</imputation>
  <security>Child's year of birth</security>
  <embargo>Child's year of birth</embargo>
  <respUnit>Child's year of birth</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>KIDBIRTHYR_ALL available</labl>
  </catgry>
  <txt>KIDBIRTHYR_ALL (B2_x) reports the child's year of birth, according to the Gregorian calendar.

KIDBIRTHYR_ALL consists of a set of twenty separate variables, covering the most recent birth (KIDBIRTHYR_01) up to the twentieth-most-recent birth (KIDBIRTHYR_20) for a female respondent of childbearing age.  If KIDBIRTHYR_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

Information for this variable was collected on all births for a woman, up to a maximum of twenty births. In many cases, data were hypothetically collected on up to twenty births, but no women in the survey had so many births (e.g., no woman had 19 or 20 births). If, for example, no woman in a survey had 20 births and only blank values were included in the original DHS file, then KIDBIRTHYR_20 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHYR_01" name="W_KIDBIRTHYR_01" files="W" intrvl="discrete">
  <labl>Child's year of birth (last-born child)</labl>
  <imputation>Child's year of birth (last-born child)</imputation>
  <security>Child's year of birth (last-born child)</security>
  <embargo>Child's year of birth (last-born child)</embargo>
  <respUnit>Child's year of birth (last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1952</catValu>
    <labl>1952</labl>
  </catgry>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>2017</labl>
  </catgry>
  <catgry>
    <catValu>2018</catValu>
    <labl>2018</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHYR_02" name="W_KIDBIRTHYR_02" files="W" intrvl="discrete">
  <labl>Child's year of birth (second-to-last-born child)</labl>
  <imputation>Child's year of birth (second-to-last-born child)</imputation>
  <security>Child's year of birth (second-to-last-born child)</security>
  <embargo>Child's year of birth (second-to-last-born child)</embargo>
  <respUnit>Child's year of birth (second-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>2017</labl>
  </catgry>
  <catgry>
    <catValu>2018</catValu>
    <labl>2018</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHYR_03" name="W_KIDBIRTHYR_03" files="W" intrvl="discrete">
  <labl>Child's year of birth (third-to-last-born child)</labl>
  <imputation>Child's year of birth (third-to-last-born child)</imputation>
  <security>Child's year of birth (third-to-last-born child)</security>
  <embargo>Child's year of birth (third-to-last-born child)</embargo>
  <respUnit>Child's year of birth (third-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1952</catValu>
    <labl>1952</labl>
  </catgry>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>2017</labl>
  </catgry>
  <catgry>
    <catValu>2018</catValu>
    <labl>2018</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHYR_04" name="W_KIDBIRTHYR_04" files="W" intrvl="discrete">
  <labl>Child's year of birth (fourth-to-last-born child)</labl>
  <imputation>Child's year of birth (fourth-to-last-born child)</imputation>
  <security>Child's year of birth (fourth-to-last-born child)</security>
  <embargo>Child's year of birth (fourth-to-last-born child)</embargo>
  <respUnit>Child's year of birth (fourth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1950</catValu>
    <labl>1950</labl>
  </catgry>
  <catgry>
    <catValu>1951</catValu>
    <labl>1951</labl>
  </catgry>
  <catgry>
    <catValu>1952</catValu>
    <labl>1952</labl>
  </catgry>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>2017</labl>
  </catgry>
  <catgry>
    <catValu>2018</catValu>
    <labl>2018</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHYR_05" name="W_KIDBIRTHYR_05" files="W" intrvl="discrete">
  <labl>Child's year of birth (fifth-to-last-born child)</labl>
  <imputation>Child's year of birth (fifth-to-last-born child)</imputation>
  <security>Child's year of birth (fifth-to-last-born child)</security>
  <embargo>Child's year of birth (fifth-to-last-born child)</embargo>
  <respUnit>Child's year of birth (fifth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHYR_06" name="W_KIDBIRTHYR_06" files="W" intrvl="discrete">
  <labl>Child's year of birth (sixth-to-last-born child)</labl>
  <imputation>Child's year of birth (sixth-to-last-born child)</imputation>
  <security>Child's year of birth (sixth-to-last-born child)</security>
  <embargo>Child's year of birth (sixth-to-last-born child)</embargo>
  <respUnit>Child's year of birth (sixth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1951</catValu>
    <labl>1951</labl>
  </catgry>
  <catgry>
    <catValu>1952</catValu>
    <labl>1952</labl>
  </catgry>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHYR_07" name="W_KIDBIRTHYR_07" files="W" intrvl="discrete">
  <labl>Child's year of birth (seventh-to-last-born child)</labl>
  <imputation>Child's year of birth (seventh-to-last-born child)</imputation>
  <security>Child's year of birth (seventh-to-last-born child)</security>
  <embargo>Child's year of birth (seventh-to-last-born child)</embargo>
  <respUnit>Child's year of birth (seventh-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1950</catValu>
    <labl>1950</labl>
  </catgry>
  <catgry>
    <catValu>1951</catValu>
    <labl>1951</labl>
  </catgry>
  <catgry>
    <catValu>1952</catValu>
    <labl>1952</labl>
  </catgry>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHYR_08" name="W_KIDBIRTHYR_08" files="W" intrvl="discrete">
  <labl>Child's year of birth (eighth-to-last-born child)</labl>
  <imputation>Child's year of birth (eighth-to-last-born child)</imputation>
  <security>Child's year of birth (eighth-to-last-born child)</security>
  <embargo>Child's year of birth (eighth-to-last-born child)</embargo>
  <respUnit>Child's year of birth (eighth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1950</catValu>
    <labl>1950</labl>
  </catgry>
  <catgry>
    <catValu>1951</catValu>
    <labl>1951</labl>
  </catgry>
  <catgry>
    <catValu>1952</catValu>
    <labl>1952</labl>
  </catgry>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHYR_09" name="W_KIDBIRTHYR_09" files="W" intrvl="discrete">
  <labl>Child's year of birth (ninth-to-last-born child)</labl>
  <imputation>Child's year of birth (ninth-to-last-born child)</imputation>
  <security>Child's year of birth (ninth-to-last-born child)</security>
  <embargo>Child's year of birth (ninth-to-last-born child)</embargo>
  <respUnit>Child's year of birth (ninth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1949</catValu>
    <labl>1949</labl>
  </catgry>
  <catgry>
    <catValu>1950</catValu>
    <labl>1950</labl>
  </catgry>
  <catgry>
    <catValu>1951</catValu>
    <labl>1951</labl>
  </catgry>
  <catgry>
    <catValu>1952</catValu>
    <labl>1952</labl>
  </catgry>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHYR_10" name="W_KIDBIRTHYR_10" files="W" intrvl="discrete">
  <labl>Child's year of birth (tenth-to-last-born child)</labl>
  <imputation>Child's year of birth (tenth-to-last-born child)</imputation>
  <security>Child's year of birth (tenth-to-last-born child)</security>
  <embargo>Child's year of birth (tenth-to-last-born child)</embargo>
  <respUnit>Child's year of birth (tenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1948</catValu>
    <labl>1948</labl>
  </catgry>
  <catgry>
    <catValu>1949</catValu>
    <labl>1949</labl>
  </catgry>
  <catgry>
    <catValu>1950</catValu>
    <labl>1950</labl>
  </catgry>
  <catgry>
    <catValu>1951</catValu>
    <labl>1951</labl>
  </catgry>
  <catgry>
    <catValu>1952</catValu>
    <labl>1952</labl>
  </catgry>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHYR_11" name="W_KIDBIRTHYR_11" files="W" intrvl="discrete">
  <labl>Child's year of birth (eleventh-to-last-born child)</labl>
  <imputation>Child's year of birth (eleventh-to-last-born child)</imputation>
  <security>Child's year of birth (eleventh-to-last-born child)</security>
  <embargo>Child's year of birth (eleventh-to-last-born child)</embargo>
  <respUnit>Child's year of birth (eleventh-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1950</catValu>
    <labl>1950</labl>
  </catgry>
  <catgry>
    <catValu>1951</catValu>
    <labl>1951</labl>
  </catgry>
  <catgry>
    <catValu>1952</catValu>
    <labl>1952</labl>
  </catgry>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHYR_12" name="W_KIDBIRTHYR_12" files="W" intrvl="discrete">
  <labl>Child's year of birth (twelfth-to-last-born child)</labl>
  <imputation>Child's year of birth (twelfth-to-last-born child)</imputation>
  <security>Child's year of birth (twelfth-to-last-born child)</security>
  <embargo>Child's year of birth (twelfth-to-last-born child)</embargo>
  <respUnit>Child's year of birth (twelfth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1952</catValu>
    <labl>1952</labl>
  </catgry>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHYR_13" name="W_KIDBIRTHYR_13" files="W" intrvl="discrete">
  <labl>Child's year of birth (thirteenth-to-last-born child)</labl>
  <imputation>Child's year of birth (thirteenth-to-last-born child)</imputation>
  <security>Child's year of birth (thirteenth-to-last-born child)</security>
  <embargo>Child's year of birth (thirteenth-to-last-born child)</embargo>
  <respUnit>Child's year of birth (thirteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1949</catValu>
    <labl>1949</labl>
  </catgry>
  <catgry>
    <catValu>1950</catValu>
    <labl>1950</labl>
  </catgry>
  <catgry>
    <catValu>1951</catValu>
    <labl>1951</labl>
  </catgry>
  <catgry>
    <catValu>1952</catValu>
    <labl>1952</labl>
  </catgry>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHYR_14" name="W_KIDBIRTHYR_14" files="W" intrvl="discrete">
  <labl>Child's year of birth (fourteenth-to-last-born child)</labl>
  <imputation>Child's year of birth (fourteenth-to-last-born child)</imputation>
  <security>Child's year of birth (fourteenth-to-last-born child)</security>
  <embargo>Child's year of birth (fourteenth-to-last-born child)</embargo>
  <respUnit>Child's year of birth (fourteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHYR_15" name="W_KIDBIRTHYR_15" files="W" intrvl="discrete">
  <labl>Child's year of birth (fifteenth-to-last-born child)</labl>
  <imputation>Child's year of birth (fifteenth-to-last-born child)</imputation>
  <security>Child's year of birth (fifteenth-to-last-born child)</security>
  <embargo>Child's year of birth (fifteenth-to-last-born child)</embargo>
  <respUnit>Child's year of birth (fifteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHYR_16" name="W_KIDBIRTHYR_16" files="W" intrvl="discrete">
  <labl>Child's year of birth (sixteenth-to-last-born child)</labl>
  <imputation>Child's year of birth (sixteenth-to-last-born child)</imputation>
  <security>Child's year of birth (sixteenth-to-last-born child)</security>
  <embargo>Child's year of birth (sixteenth-to-last-born child)</embargo>
  <respUnit>Child's year of birth (sixteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1952</catValu>
    <labl>1952</labl>
  </catgry>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHYR_17" name="W_KIDBIRTHYR_17" files="W" intrvl="discrete">
  <labl>Child's year of birth (seventeenth-to-last-born child)</labl>
  <imputation>Child's year of birth (seventeenth-to-last-born child)</imputation>
  <security>Child's year of birth (seventeenth-to-last-born child)</security>
  <embargo>Child's year of birth (seventeenth-to-last-born child)</embargo>
  <respUnit>Child's year of birth (seventeenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHYR_18" name="W_KIDBIRTHYR_18" files="W" intrvl="discrete">
  <labl>Child's year of birth (eighteenth-to-last-born child)</labl>
  <imputation>Child's year of birth (eighteenth-to-last-born child)</imputation>
  <security>Child's year of birth (eighteenth-to-last-born child)</security>
  <embargo>Child's year of birth (eighteenth-to-last-born child)</embargo>
  <respUnit>Child's year of birth (eighteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHYR_19" name="W_KIDBIRTHYR_19" files="W" intrvl="discrete">
  <labl>Child's year of birth (nineteenth-to-last-born child)</labl>
  <imputation>Child's year of birth (nineteenth-to-last-born child)</imputation>
  <security>Child's year of birth (nineteenth-to-last-born child)</security>
  <embargo>Child's year of birth (nineteenth-to-last-born child)</embargo>
  <respUnit>Child's year of birth (nineteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>1951</catValu>
    <labl>1951</labl>
  </catgry>
  <catgry>
    <catValu>1952</catValu>
    <labl>1952</labl>
  </catgry>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDBIRTHYR_20" name="W_KIDBIRTHYR_20" files="W" intrvl="discrete">
  <labl>Child's year of birth (twentieth-to-last-born child)</labl>
  <imputation>Child's year of birth (twentieth-to-last-born child)</imputation>
  <security>Child's year of birth (twentieth-to-last-born child)</security>
  <embargo>Child's year of birth (twentieth-to-last-born child)</embargo>
  <respUnit>Child's year of birth (twentieth-to-last-born child)</respUnit>
  <catgry>
    <catValu>1950</catValu>
    <labl>1950</labl>
  </catgry>
  <catgry>
    <catValu>1951</catValu>
    <labl>1951</labl>
  </catgry>
  <catgry>
    <catValu>1952</catValu>
    <labl>1952</labl>
  </catgry>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDDOBCMC_ALL" name="W_KIDDOBCMC_ALL" files="W" intrvl="discrete">
  <labl>Child's date of birth (CMC)</labl>
  <imputation>Child's date of birth (CMC)</imputation>
  <security>Child's date of birth (CMC)</security>
  <embargo>Child's date of birth (CMC)</embargo>
  <respUnit>Child's date of birth (CMC)</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>KIDDOBCMC_ALL available</labl>
  </catgry>
  <txt>KIDDOBCMC_ALL (B3_x) reports the century month code for the date of birth of the child. 

KIDDOBCMC_ALL consists of a set of twenty separate variables, covering the most recent birth (KIDDOBCMC_01) up to the twentieth-most-recent birth (KIDDOBCMC_20) for a female respondent of childbearing age.  If KIDDOBCMC_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

Information for this variable was collected on all births for a woman, up to a maximum of twenty. In many cases, data were hypothetically collected on up to twenty births, but no women in the survey had so many births (e.g., no woman had 19 or 20 births). If, for example, no woman in a survey had 20 births and only blank values were included in the original DHS file, then KIDDOBCMC_20 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDDOBCMC_01" name="W_KIDDOBCMC_01" files="W" intrvl="discrete">
  <labl>Child's date of birth (CMC) (last-born child)</labl>
  <imputation>Child's date of birth (CMC) (last-born child)</imputation>
  <security>Child's date of birth (CMC) (last-born child)</security>
  <embargo>Child's date of birth (CMC) (last-born child)</embargo>
  <respUnit>Child's date of birth (CMC) (last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDDOBCMC_02" name="W_KIDDOBCMC_02" files="W" intrvl="discrete">
  <labl>Child's date of birth (CMC) (second-to-last-born child)</labl>
  <imputation>Child's date of birth (CMC) (second-to-last-born child)</imputation>
  <security>Child's date of birth (CMC) (second-to-last-born child)</security>
  <embargo>Child's date of birth (CMC) (second-to-last-born child)</embargo>
  <respUnit>Child's date of birth (CMC) (second-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDDOBCMC_03" name="W_KIDDOBCMC_03" files="W" intrvl="discrete">
  <labl>Child's date of birth (CMC) (third-to-last-born child)</labl>
  <imputation>Child's date of birth (CMC) (third-to-last-born child)</imputation>
  <security>Child's date of birth (CMC) (third-to-last-born child)</security>
  <embargo>Child's date of birth (CMC) (third-to-last-born child)</embargo>
  <respUnit>Child's date of birth (CMC) (third-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDDOBCMC_04" name="W_KIDDOBCMC_04" files="W" intrvl="discrete">
  <labl>Child's date of birth (CMC) (fourth-to-last-born child)</labl>
  <imputation>Child's date of birth (CMC) (fourth-to-last-born child)</imputation>
  <security>Child's date of birth (CMC) (fourth-to-last-born child)</security>
  <embargo>Child's date of birth (CMC) (fourth-to-last-born child)</embargo>
  <respUnit>Child's date of birth (CMC) (fourth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDDOBCMC_05" name="W_KIDDOBCMC_05" files="W" intrvl="discrete">
  <labl>Child's date of birth (CMC) (fifth-to-last-born child)</labl>
  <imputation>Child's date of birth (CMC) (fifth-to-last-born child)</imputation>
  <security>Child's date of birth (CMC) (fifth-to-last-born child)</security>
  <embargo>Child's date of birth (CMC) (fifth-to-last-born child)</embargo>
  <respUnit>Child's date of birth (CMC) (fifth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDDOBCMC_06" name="W_KIDDOBCMC_06" files="W" intrvl="discrete">
  <labl>Child's date of birth (CMC) (sixth-to-last-born child)</labl>
  <imputation>Child's date of birth (CMC) (sixth-to-last-born child)</imputation>
  <security>Child's date of birth (CMC) (sixth-to-last-born child)</security>
  <embargo>Child's date of birth (CMC) (sixth-to-last-born child)</embargo>
  <respUnit>Child's date of birth (CMC) (sixth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDDOBCMC_07" name="W_KIDDOBCMC_07" files="W" intrvl="discrete">
  <labl>Child's date of birth (CMC) (seventh-to-last-born child)</labl>
  <imputation>Child's date of birth (CMC) (seventh-to-last-born child)</imputation>
  <security>Child's date of birth (CMC) (seventh-to-last-born child)</security>
  <embargo>Child's date of birth (CMC) (seventh-to-last-born child)</embargo>
  <respUnit>Child's date of birth (CMC) (seventh-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDDOBCMC_08" name="W_KIDDOBCMC_08" files="W" intrvl="discrete">
  <labl>Child's date of birth (CMC) (eighth-to-last-born child)</labl>
  <imputation>Child's date of birth (CMC) (eighth-to-last-born child)</imputation>
  <security>Child's date of birth (CMC) (eighth-to-last-born child)</security>
  <embargo>Child's date of birth (CMC) (eighth-to-last-born child)</embargo>
  <respUnit>Child's date of birth (CMC) (eighth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDDOBCMC_09" name="W_KIDDOBCMC_09" files="W" intrvl="discrete">
  <labl>Child's date of birth (CMC) (ninth-to-last-born child)</labl>
  <imputation>Child's date of birth (CMC) (ninth-to-last-born child)</imputation>
  <security>Child's date of birth (CMC) (ninth-to-last-born child)</security>
  <embargo>Child's date of birth (CMC) (ninth-to-last-born child)</embargo>
  <respUnit>Child's date of birth (CMC) (ninth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDDOBCMC_10" name="W_KIDDOBCMC_10" files="W" intrvl="discrete">
  <labl>Child's date of birth (CMC) (tenth-to-last-born child)</labl>
  <imputation>Child's date of birth (CMC) (tenth-to-last-born child)</imputation>
  <security>Child's date of birth (CMC) (tenth-to-last-born child)</security>
  <embargo>Child's date of birth (CMC) (tenth-to-last-born child)</embargo>
  <respUnit>Child's date of birth (CMC) (tenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDDOBCMC_11" name="W_KIDDOBCMC_11" files="W" intrvl="discrete">
  <labl>Child's date of birth (CMC) (eleventh-to-last-born child)</labl>
  <imputation>Child's date of birth (CMC) (eleventh-to-last-born child)</imputation>
  <security>Child's date of birth (CMC) (eleventh-to-last-born child)</security>
  <embargo>Child's date of birth (CMC) (eleventh-to-last-born child)</embargo>
  <respUnit>Child's date of birth (CMC) (eleventh-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDDOBCMC_12" name="W_KIDDOBCMC_12" files="W" intrvl="discrete">
  <labl>Child's date of birth (CMC) (twelfth-to-last-born child)</labl>
  <imputation>Child's date of birth (CMC) (twelfth-to-last-born child)</imputation>
  <security>Child's date of birth (CMC) (twelfth-to-last-born child)</security>
  <embargo>Child's date of birth (CMC) (twelfth-to-last-born child)</embargo>
  <respUnit>Child's date of birth (CMC) (twelfth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDDOBCMC_13" name="W_KIDDOBCMC_13" files="W" intrvl="discrete">
  <labl>Child's date of birth (CMC) (thirteenth-to-last-born child)</labl>
  <imputation>Child's date of birth (CMC) (thirteenth-to-last-born child)</imputation>
  <security>Child's date of birth (CMC) (thirteenth-to-last-born child)</security>
  <embargo>Child's date of birth (CMC) (thirteenth-to-last-born child)</embargo>
  <respUnit>Child's date of birth (CMC) (thirteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDDOBCMC_14" name="W_KIDDOBCMC_14" files="W" intrvl="discrete">
  <labl>Child's date of birth (CMC) (fourteenth-to-last-born child)</labl>
  <imputation>Child's date of birth (CMC) (fourteenth-to-last-born child)</imputation>
  <security>Child's date of birth (CMC) (fourteenth-to-last-born child)</security>
  <embargo>Child's date of birth (CMC) (fourteenth-to-last-born child)</embargo>
  <respUnit>Child's date of birth (CMC) (fourteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDDOBCMC_15" name="W_KIDDOBCMC_15" files="W" intrvl="discrete">
  <labl>Child's date of birth (CMC) (fifteenth-to-last-born child)</labl>
  <imputation>Child's date of birth (CMC) (fifteenth-to-last-born child)</imputation>
  <security>Child's date of birth (CMC) (fifteenth-to-last-born child)</security>
  <embargo>Child's date of birth (CMC) (fifteenth-to-last-born child)</embargo>
  <respUnit>Child's date of birth (CMC) (fifteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDDOBCMC_16" name="W_KIDDOBCMC_16" files="W" intrvl="discrete">
  <labl>Child's date of birth (CMC) (sixteenth-to-last-born child)</labl>
  <imputation>Child's date of birth (CMC) (sixteenth-to-last-born child)</imputation>
  <security>Child's date of birth (CMC) (sixteenth-to-last-born child)</security>
  <embargo>Child's date of birth (CMC) (sixteenth-to-last-born child)</embargo>
  <respUnit>Child's date of birth (CMC) (sixteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDDOBCMC_17" name="W_KIDDOBCMC_17" files="W" intrvl="discrete">
  <labl>Child's date of birth (CMC) (seventeenth-to-last-born child)</labl>
  <imputation>Child's date of birth (CMC) (seventeenth-to-last-born child)</imputation>
  <security>Child's date of birth (CMC) (seventeenth-to-last-born child)</security>
  <embargo>Child's date of birth (CMC) (seventeenth-to-last-born child)</embargo>
  <respUnit>Child's date of birth (CMC) (seventeenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDDOBCMC_18" name="W_KIDDOBCMC_18" files="W" intrvl="discrete">
  <labl>Child's date of birth (CMC) (eighteenth-to-last-born child)</labl>
  <imputation>Child's date of birth (CMC) (eighteenth-to-last-born child)</imputation>
  <security>Child's date of birth (CMC) (eighteenth-to-last-born child)</security>
  <embargo>Child's date of birth (CMC) (eighteenth-to-last-born child)</embargo>
  <respUnit>Child's date of birth (CMC) (eighteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDDOBCMC_19" name="W_KIDDOBCMC_19" files="W" intrvl="discrete">
  <labl>Child's date of birth (CMC) (nineteenth-to-last-born child)</labl>
  <imputation>Child's date of birth (CMC) (nineteenth-to-last-born child)</imputation>
  <security>Child's date of birth (CMC) (nineteenth-to-last-born child)</security>
  <embargo>Child's date of birth (CMC) (nineteenth-to-last-born child)</embargo>
  <respUnit>Child's date of birth (CMC) (nineteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDDOBCMC_20" name="W_KIDDOBCMC_20" files="W" intrvl="discrete">
  <labl>Child's date of birth (CMC) (twentieth-to-last-born child)</labl>
  <imputation>Child's date of birth (CMC) (twentieth-to-last-born child)</imputation>
  <security>Child's date of birth (CMC) (twentieth-to-last-born child)</security>
  <embargo>Child's date of birth (CMC) (twentieth-to-last-born child)</embargo>
  <respUnit>Child's date of birth (CMC) (twentieth-to-last-born child)</respUnit>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDSEX_ALL" name="W_KIDSEX_ALL" files="W" intrvl="discrete">
  <labl>Sex of child</labl>
  <imputation>Sex of child</imputation>
  <security>Sex of child</security>
  <embargo>Sex of child</embargo>
  <respUnit>Sex of child</respUnit>
  <qstn>
    <qstnLit>214) Is (NAME) a boy or a girl?

BOY 1
GIRL 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>KIDSEX_ALL available</labl>
  </catgry>
  <txt>KIDSEX _ALL (B4_x) reports the sex of each birth reported by women of childbearing age. 

KIDSEX_ALL consists of a set of twenty separate variables, covering the most recent birth (KIDSEX_01) up to the twentieth-most-recent birth (KIDSEX_20) for a female respondent of childbearing age.  If KIDSEX_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births for a woman, up to a maximum of twenty. In many cases, data were hypothetically collected on up to twenty births, but no women in the survey had so many births (e.g., no woman had 19 or 20 births). If, for example, no woman in a survey had 20 births and only blank values were included in the original DHS file, then KIDSEX_20 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDSEX_01" name="W_KIDSEX_01" files="W" intrvl="discrete">
  <labl>Sex of child (most recent birth)</labl>
  <imputation>Sex of child (most recent birth)</imputation>
  <security>Sex of child (most recent birth)</security>
  <embargo>Sex of child (most recent birth)</embargo>
  <respUnit>Sex of child (most recent birth)</respUnit>
  <qstn>
    <qstnLit>214) Is (NAME) a boy or a girl?

BOY 1
GIRL 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDSEX_02" name="W_KIDSEX_02" files="W" intrvl="discrete">
  <labl>Sex of child (second most recent birth)</labl>
  <imputation>Sex of child (second most recent birth)</imputation>
  <security>Sex of child (second most recent birth)</security>
  <embargo>Sex of child (second most recent birth)</embargo>
  <respUnit>Sex of child (second most recent birth)</respUnit>
  <qstn>
    <qstnLit>214) Is (NAME) a boy or a girl?

BOY 1
GIRL 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDSEX_03" name="W_KIDSEX_03" files="W" intrvl="discrete">
  <labl>Sex of child (third most recent birth)</labl>
  <imputation>Sex of child (third most recent birth)</imputation>
  <security>Sex of child (third most recent birth)</security>
  <embargo>Sex of child (third most recent birth)</embargo>
  <respUnit>Sex of child (third most recent birth)</respUnit>
  <qstn>
    <qstnLit>214) Is (NAME) a boy or a girl?

BOY 1
GIRL 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDSEX_04" name="W_KIDSEX_04" files="W" intrvl="discrete">
  <labl>Sex of child (fourth most recent birth)</labl>
  <imputation>Sex of child (fourth most recent birth)</imputation>
  <security>Sex of child (fourth most recent birth)</security>
  <embargo>Sex of child (fourth most recent birth)</embargo>
  <respUnit>Sex of child (fourth most recent birth)</respUnit>
  <qstn>
    <qstnLit>214) Is (NAME) a boy or a girl?

BOY 1
GIRL 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDSEX_05" name="W_KIDSEX_05" files="W" intrvl="discrete">
  <labl>Sex of child (fifth most recent birth)</labl>
  <imputation>Sex of child (fifth most recent birth)</imputation>
  <security>Sex of child (fifth most recent birth)</security>
  <embargo>Sex of child (fifth most recent birth)</embargo>
  <respUnit>Sex of child (fifth most recent birth)</respUnit>
  <qstn>
    <qstnLit>214) Is (NAME) a boy or a girl?

BOY 1
GIRL 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDSEX_06" name="W_KIDSEX_06" files="W" intrvl="discrete">
  <labl>Sex of child (sixth most recent birth)</labl>
  <imputation>Sex of child (sixth most recent birth)</imputation>
  <security>Sex of child (sixth most recent birth)</security>
  <embargo>Sex of child (sixth most recent birth)</embargo>
  <respUnit>Sex of child (sixth most recent birth)</respUnit>
  <qstn>
    <qstnLit>214) Is (NAME) a boy or a girl?

BOY 1
GIRL 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDSEX_07" name="W_KIDSEX_07" files="W" intrvl="discrete">
  <labl>Sex of child (seventh most recent birth)</labl>
  <imputation>Sex of child (seventh most recent birth)</imputation>
  <security>Sex of child (seventh most recent birth)</security>
  <embargo>Sex of child (seventh most recent birth)</embargo>
  <respUnit>Sex of child (seventh most recent birth)</respUnit>
  <qstn>
    <qstnLit>214) Is (NAME) a boy or a girl?

BOY 1
GIRL 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDSEX_08" name="W_KIDSEX_08" files="W" intrvl="discrete">
  <labl>Sex of child (eighth most recent birth)</labl>
  <imputation>Sex of child (eighth most recent birth)</imputation>
  <security>Sex of child (eighth most recent birth)</security>
  <embargo>Sex of child (eighth most recent birth)</embargo>
  <respUnit>Sex of child (eighth most recent birth)</respUnit>
  <qstn>
    <qstnLit>214) Is (NAME) a boy or a girl?

BOY 1
GIRL 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDSEX_09" name="W_KIDSEX_09" files="W" intrvl="discrete">
  <labl>Sex of child (ninth most recent birth)</labl>
  <imputation>Sex of child (ninth most recent birth)</imputation>
  <security>Sex of child (ninth most recent birth)</security>
  <embargo>Sex of child (ninth most recent birth)</embargo>
  <respUnit>Sex of child (ninth most recent birth)</respUnit>
  <qstn>
    <qstnLit>214) Is (NAME) a boy or a girl?

BOY 1
GIRL 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDSEX_10" name="W_KIDSEX_10" files="W" intrvl="discrete">
  <labl>Sex of child (tenth most recent birth)</labl>
  <imputation>Sex of child (tenth most recent birth)</imputation>
  <security>Sex of child (tenth most recent birth)</security>
  <embargo>Sex of child (tenth most recent birth)</embargo>
  <respUnit>Sex of child (tenth most recent birth)</respUnit>
  <qstn>
    <qstnLit>214) Is (NAME) a boy or a girl?

BOY 1
GIRL 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDSEX_11" name="W_KIDSEX_11" files="W" intrvl="discrete">
  <labl>Sex of child (eleventh most recent birth)</labl>
  <imputation>Sex of child (eleventh most recent birth)</imputation>
  <security>Sex of child (eleventh most recent birth)</security>
  <embargo>Sex of child (eleventh most recent birth)</embargo>
  <respUnit>Sex of child (eleventh most recent birth)</respUnit>
  <qstn>
    <qstnLit>214) Is (NAME) a boy or a girl?

BOY 1
GIRL 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDSEX_12" name="W_KIDSEX_12" files="W" intrvl="discrete">
  <labl>Sex of child (twelfth most recent birth)</labl>
  <imputation>Sex of child (twelfth most recent birth)</imputation>
  <security>Sex of child (twelfth most recent birth)</security>
  <embargo>Sex of child (twelfth most recent birth)</embargo>
  <respUnit>Sex of child (twelfth most recent birth)</respUnit>
  <qstn>
    <qstnLit>214) Is (NAME) a boy or a girl?

BOY 1
GIRL 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDSEX_13" name="W_KIDSEX_13" files="W" intrvl="discrete">
  <labl>Sex of child (thirteenth most recent birth)</labl>
  <imputation>Sex of child (thirteenth most recent birth)</imputation>
  <security>Sex of child (thirteenth most recent birth)</security>
  <embargo>Sex of child (thirteenth most recent birth)</embargo>
  <respUnit>Sex of child (thirteenth most recent birth)</respUnit>
  <qstn>
    <qstnLit>214) Is (NAME) a boy or a girl?

BOY 1
GIRL 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDSEX_14" name="W_KIDSEX_14" files="W" intrvl="discrete">
  <labl>Sex of child (fourteenth most recent birth)</labl>
  <imputation>Sex of child (fourteenth most recent birth)</imputation>
  <security>Sex of child (fourteenth most recent birth)</security>
  <embargo>Sex of child (fourteenth most recent birth)</embargo>
  <respUnit>Sex of child (fourteenth most recent birth)</respUnit>
  <qstn>
    <qstnLit>214) Is (NAME) a boy or a girl?

BOY 1
GIRL 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDSEX_15" name="W_KIDSEX_15" files="W" intrvl="discrete">
  <labl>Sex of child (fifteenth most recent birth)</labl>
  <imputation>Sex of child (fifteenth most recent birth)</imputation>
  <security>Sex of child (fifteenth most recent birth)</security>
  <embargo>Sex of child (fifteenth most recent birth)</embargo>
  <respUnit>Sex of child (fifteenth most recent birth)</respUnit>
  <qstn>
    <qstnLit>214) Is (NAME) a boy or a girl?

BOY 1
GIRL 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDSEX_16" name="W_KIDSEX_16" files="W" intrvl="discrete">
  <labl>Sex of child (sixteenth most recent birth)</labl>
  <imputation>Sex of child (sixteenth most recent birth)</imputation>
  <security>Sex of child (sixteenth most recent birth)</security>
  <embargo>Sex of child (sixteenth most recent birth)</embargo>
  <respUnit>Sex of child (sixteenth most recent birth)</respUnit>
  <qstn>
    <qstnLit>214) Is (NAME) a boy or a girl?

BOY 1
GIRL 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDSEX_17" name="W_KIDSEX_17" files="W" intrvl="discrete">
  <labl>Sex of child (seventeenth most recent birth)</labl>
  <imputation>Sex of child (seventeenth most recent birth)</imputation>
  <security>Sex of child (seventeenth most recent birth)</security>
  <embargo>Sex of child (seventeenth most recent birth)</embargo>
  <respUnit>Sex of child (seventeenth most recent birth)</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDSEX_18" name="W_KIDSEX_18" files="W" intrvl="discrete">
  <labl>Sex of child (eighteenth most recent birth)</labl>
  <imputation>Sex of child (eighteenth most recent birth)</imputation>
  <security>Sex of child (eighteenth most recent birth)</security>
  <embargo>Sex of child (eighteenth most recent birth)</embargo>
  <respUnit>Sex of child (eighteenth most recent birth)</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDSEX_19" name="W_KIDSEX_19" files="W" intrvl="discrete">
  <labl>Sex of child (nineteenth most recent birth)</labl>
  <imputation>Sex of child (nineteenth most recent birth)</imputation>
  <security>Sex of child (nineteenth most recent birth)</security>
  <embargo>Sex of child (nineteenth most recent birth)</embargo>
  <respUnit>Sex of child (nineteenth most recent birth)</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDSEX_20" name="W_KIDSEX_20" files="W" intrvl="discrete">
  <labl>Sex of child (twentieth most recent birth)</labl>
  <imputation>Sex of child (twentieth most recent birth)</imputation>
  <security>Sex of child (twentieth most recent birth)</security>
  <embargo>Sex of child (twentieth most recent birth)</embargo>
  <respUnit>Sex of child (twentieth most recent birth)</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDALIVE_ALL" name="W_KIDALIVE_ALL" files="W" intrvl="discrete">
  <labl>Child is alive</labl>
  <imputation>Child is alive</imputation>
  <security>Child is alive</security>
  <embargo>Child is alive</embargo>
  <respUnit>Child is alive</respUnit>
  <qstn>
    <qstnLit>216) Is (NAME) still alive?

YES 1
NO 2 (GO TO 220)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>KIDALIVE_ALL available</labl>
  </catgry>
  <txt>KIDALIVE _ALL (B5_x) indicates whether each birth reported by a woman of childbearing age is alive. 

KIDALIVE_ALL consists of a set of twenty separate variables, covering the most recent birth (KIDALIVE_01) up to the twentieth-most-recent birth (KIDALIVE_20) for a female respondent of childbearing age.  If KIDALIVE_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births for a woman, up to a maximum of twenty. In many cases, data were hypothetically collected on up to twenty births, but no women in the survey had so many births (e.g., no woman had 19 or 20 births). If, for example, no woman in a survey had 20 births and only blank values were included in the original DHS file, then KIDALIVE_20 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDALIVE_01" name="W_KIDALIVE_01" files="W" intrvl="discrete">
  <labl>Child is alive (most recent birth)</labl>
  <imputation>Child is alive (most recent birth)</imputation>
  <security>Child is alive (most recent birth)</security>
  <embargo>Child is alive (most recent birth)</embargo>
  <respUnit>Child is alive (most recent birth)</respUnit>
  <qstn>
    <qstnLit>216) Is (NAME) still alive?

YES 1
NO 2 (GO TO 220)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDALIVE_02" name="W_KIDALIVE_02" files="W" intrvl="discrete">
  <labl>Child is alive (second most recent birth)</labl>
  <imputation>Child is alive (second most recent birth)</imputation>
  <security>Child is alive (second most recent birth)</security>
  <embargo>Child is alive (second most recent birth)</embargo>
  <respUnit>Child is alive (second most recent birth)</respUnit>
  <qstn>
    <qstnLit>216) Is (NAME) still alive?

YES 1
NO 2 (GO TO 220)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDALIVE_03" name="W_KIDALIVE_03" files="W" intrvl="discrete">
  <labl>Child is alive (third most recent birth)</labl>
  <imputation>Child is alive (third most recent birth)</imputation>
  <security>Child is alive (third most recent birth)</security>
  <embargo>Child is alive (third most recent birth)</embargo>
  <respUnit>Child is alive (third most recent birth)</respUnit>
  <qstn>
    <qstnLit>216) Is (NAME) still alive?

YES 1
NO 2 (GO TO 220)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDALIVE_04" name="W_KIDALIVE_04" files="W" intrvl="discrete">
  <labl>Child is alive (fourth most recent birth)</labl>
  <imputation>Child is alive (fourth most recent birth)</imputation>
  <security>Child is alive (fourth most recent birth)</security>
  <embargo>Child is alive (fourth most recent birth)</embargo>
  <respUnit>Child is alive (fourth most recent birth)</respUnit>
  <qstn>
    <qstnLit>216) Is (NAME) still alive?

YES 1
NO 2 (GO TO 220)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDALIVE_05" name="W_KIDALIVE_05" files="W" intrvl="discrete">
  <labl>Child is alive (fifth most recent birth)</labl>
  <imputation>Child is alive (fifth most recent birth)</imputation>
  <security>Child is alive (fifth most recent birth)</security>
  <embargo>Child is alive (fifth most recent birth)</embargo>
  <respUnit>Child is alive (fifth most recent birth)</respUnit>
  <qstn>
    <qstnLit>216) Is (NAME) still alive?

YES 1
NO 2 (GO TO 220)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDALIVE_06" name="W_KIDALIVE_06" files="W" intrvl="discrete">
  <labl>Child is alive (sixth recent birth)</labl>
  <imputation>Child is alive (sixth recent birth)</imputation>
  <security>Child is alive (sixth recent birth)</security>
  <embargo>Child is alive (sixth recent birth)</embargo>
  <respUnit>Child is alive (sixth recent birth)</respUnit>
  <qstn>
    <qstnLit>216) Is (NAME) still alive?

YES 1
NO 2 (GO TO 220)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDALIVE_07" name="W_KIDALIVE_07" files="W" intrvl="discrete">
  <labl>Child is alive (seventh recent birth)</labl>
  <imputation>Child is alive (seventh recent birth)</imputation>
  <security>Child is alive (seventh recent birth)</security>
  <embargo>Child is alive (seventh recent birth)</embargo>
  <respUnit>Child is alive (seventh recent birth)</respUnit>
  <qstn>
    <qstnLit>216) Is (NAME) still alive?

YES 1
NO 2 (GO TO 220)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDALIVE_08" name="W_KIDALIVE_08" files="W" intrvl="discrete">
  <labl>Child is alive (eighth recent birth)</labl>
  <imputation>Child is alive (eighth recent birth)</imputation>
  <security>Child is alive (eighth recent birth)</security>
  <embargo>Child is alive (eighth recent birth)</embargo>
  <respUnit>Child is alive (eighth recent birth)</respUnit>
  <qstn>
    <qstnLit>216) Is (NAME) still alive?

YES 1
NO 2 (GO TO 220)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDALIVE_09" name="W_KIDALIVE_09" files="W" intrvl="discrete">
  <labl>Child is alive (ninth recent birth)</labl>
  <imputation>Child is alive (ninth recent birth)</imputation>
  <security>Child is alive (ninth recent birth)</security>
  <embargo>Child is alive (ninth recent birth)</embargo>
  <respUnit>Child is alive (ninth recent birth)</respUnit>
  <qstn>
    <qstnLit>216) Is (NAME) still alive?

YES 1
NO 2 (GO TO 220)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDALIVE_10" name="W_KIDALIVE_10" files="W" intrvl="discrete">
  <labl>Child is alive (tenth recent birth)</labl>
  <imputation>Child is alive (tenth recent birth)</imputation>
  <security>Child is alive (tenth recent birth)</security>
  <embargo>Child is alive (tenth recent birth)</embargo>
  <respUnit>Child is alive (tenth recent birth)</respUnit>
  <qstn>
    <qstnLit>216) Is (NAME) still alive?

YES 1
NO 2 (GO TO 220)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDALIVE_11" name="W_KIDALIVE_11" files="W" intrvl="discrete">
  <labl>Child is alive (eleventh recent birth)</labl>
  <imputation>Child is alive (eleventh recent birth)</imputation>
  <security>Child is alive (eleventh recent birth)</security>
  <embargo>Child is alive (eleventh recent birth)</embargo>
  <respUnit>Child is alive (eleventh recent birth)</respUnit>
  <qstn>
    <qstnLit>216) Is (NAME) still alive?

YES 1
NO 2 (GO TO 220)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDALIVE_12" name="W_KIDALIVE_12" files="W" intrvl="discrete">
  <labl>Child is alive (twelfth recent birth)</labl>
  <imputation>Child is alive (twelfth recent birth)</imputation>
  <security>Child is alive (twelfth recent birth)</security>
  <embargo>Child is alive (twelfth recent birth)</embargo>
  <respUnit>Child is alive (twelfth recent birth)</respUnit>
  <qstn>
    <qstnLit>216) Is (NAME) still alive?

YES 1
NO 2 (GO TO 220)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDALIVE_13" name="W_KIDALIVE_13" files="W" intrvl="discrete">
  <labl>Child is alive (thirteenth recent birth)</labl>
  <imputation>Child is alive (thirteenth recent birth)</imputation>
  <security>Child is alive (thirteenth recent birth)</security>
  <embargo>Child is alive (thirteenth recent birth)</embargo>
  <respUnit>Child is alive (thirteenth recent birth)</respUnit>
  <qstn>
    <qstnLit>216) Is (NAME) still alive?

YES 1
NO 2 (GO TO 220)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDALIVE_14" name="W_KIDALIVE_14" files="W" intrvl="discrete">
  <labl>Child is alive (fourteenth recent birth)</labl>
  <imputation>Child is alive (fourteenth recent birth)</imputation>
  <security>Child is alive (fourteenth recent birth)</security>
  <embargo>Child is alive (fourteenth recent birth)</embargo>
  <respUnit>Child is alive (fourteenth recent birth)</respUnit>
  <qstn>
    <qstnLit>216) Is (NAME) still alive?

YES 1
NO 2 (GO TO 220)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDALIVE_15" name="W_KIDALIVE_15" files="W" intrvl="discrete">
  <labl>Child is alive (fifteenth recent birth)</labl>
  <imputation>Child is alive (fifteenth recent birth)</imputation>
  <security>Child is alive (fifteenth recent birth)</security>
  <embargo>Child is alive (fifteenth recent birth)</embargo>
  <respUnit>Child is alive (fifteenth recent birth)</respUnit>
  <qstn>
    <qstnLit>216) Is (NAME) still alive?

YES 1
NO 2 (GO TO 220)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDALIVE_16" name="W_KIDALIVE_16" files="W" intrvl="discrete">
  <labl>Child is alive (sixteenth recent birth)</labl>
  <imputation>Child is alive (sixteenth recent birth)</imputation>
  <security>Child is alive (sixteenth recent birth)</security>
  <embargo>Child is alive (sixteenth recent birth)</embargo>
  <respUnit>Child is alive (sixteenth recent birth)</respUnit>
  <qstn>
    <qstnLit>216) Is (NAME) still alive?

YES 1
NO 2 (GO TO 220)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDALIVE_17" name="W_KIDALIVE_17" files="W" intrvl="discrete">
  <labl>Child is alive (seventeenth recent birth)</labl>
  <imputation>Child is alive (seventeenth recent birth)</imputation>
  <security>Child is alive (seventeenth recent birth)</security>
  <embargo>Child is alive (seventeenth recent birth)</embargo>
  <respUnit>Child is alive (seventeenth recent birth)</respUnit>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDALIVE_18" name="W_KIDALIVE_18" files="W" intrvl="discrete">
  <labl>Child is alive (eighteenth recent birth)</labl>
  <imputation>Child is alive (eighteenth recent birth)</imputation>
  <security>Child is alive (eighteenth recent birth)</security>
  <embargo>Child is alive (eighteenth recent birth)</embargo>
  <respUnit>Child is alive (eighteenth recent birth)</respUnit>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDALIVE_19" name="W_KIDALIVE_19" files="W" intrvl="discrete">
  <labl>Child is alive (nineteenth recent birth)</labl>
  <imputation>Child is alive (nineteenth recent birth)</imputation>
  <security>Child is alive (nineteenth recent birth)</security>
  <embargo>Child is alive (nineteenth recent birth)</embargo>
  <respUnit>Child is alive (nineteenth recent birth)</respUnit>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDALIVE_20" name="W_KIDALIVE_20" files="W" intrvl="discrete">
  <labl>Child is alive (twentieth recent birth)</labl>
  <imputation>Child is alive (twentieth recent birth)</imputation>
  <security>Child is alive (twentieth recent birth)</security>
  <embargo>Child is alive (twentieth recent birth)</embargo>
  <respUnit>Child is alive (twentieth recent birth)</respUnit>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATH_ALL" name="W_KIDAGEDEATH_ALL" files="W" intrvl="discrete">
  <labl>Child's age at death (non-imputed)</labl>
  <imputation>Child's age at death (non-imputed)</imputation>
  <security>Child's age at death (non-imputed)</security>
  <embargo>Child's age at death (non-imputed)</embargo>
  <respUnit>Child's age at death (non-imputed)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>KIDAGEDEATH_ALL available</labl>
  </catgry>
  <txt>KIDAGEDEATH_ALL (B6_x) reports the age of the deceased child at death. The first digit of the codes indicates the time unit:
100: Days
200: Months
300: Years

KIDAGEDEATH_ALL consists of a set of twenty separate variables, covering the most recent birth (KIDAGEDEATH_01) up to the twentieth-most-recent birth (KIDAGEDEATH_20) for a female respondent of childbearing age.  If KIDAGEDEATH_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

Information for this variable was collected on all births for a woman, up to a maximum of twenty births. In many cases, data were hypothetically collected on up to twenty births, but no women in the survey had so many births (e.g., no woman had 19 or 20 births). If, for example, no woman in a survey had 20 births and only blank values were included in the original DHS file, then KIDAGEDEATH_20 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATH_01" name="W_KIDAGEDEATH_01" files="W" intrvl="discrete">
  <labl>Child's age at death (non-imputed) (last-born child)</labl>
  <imputation>Child's age at death (non-imputed) (last-born child)</imputation>
  <security>Child's age at death (non-imputed) (last-born child)</security>
  <embargo>Child's age at death (non-imputed) (last-born child)</embargo>
  <respUnit>Child's age at death (non-imputed) (last-born child)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 day</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>Days: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>Months: Inconsistant</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>Months: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Months: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>35 years</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>36 years</labl>
  </catgry>
  <catgry>
    <catValu>397</catValu>
    <labl>Years: Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>398</catValu>
    <labl>Years: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Years: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistant</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>See KIDAGEDEATH_ALL.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATH_02" name="W_KIDAGEDEATH_02" files="W" intrvl="discrete">
  <labl>Child's age at death (non-imputed) (second-to-last-born child)</labl>
  <imputation>Child's age at death (non-imputed) (second-to-last-born child)</imputation>
  <security>Child's age at death (non-imputed) (second-to-last-born child)</security>
  <embargo>Child's age at death (non-imputed) (second-to-last-born child)</embargo>
  <respUnit>Child's age at death (non-imputed) (second-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 day</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 days</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 days</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 days</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 days</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 days</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>Days: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>Months: Inconsistant</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>Months: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Months: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>35 years</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>36 years</labl>
  </catgry>
  <catgry>
    <catValu>337</catValu>
    <labl>37 years</labl>
  </catgry>
  <catgry>
    <catValu>338</catValu>
    <labl>38 years</labl>
  </catgry>
  <catgry>
    <catValu>339</catValu>
    <labl>39 years</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>40 years</labl>
  </catgry>
  <catgry>
    <catValu>397</catValu>
    <labl>Years: Inconsistant</labl>
  </catgry>
  <catgry>
    <catValu>398</catValu>
    <labl>Years: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Years: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistant</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATH_03" name="W_KIDAGEDEATH_03" files="W" intrvl="discrete">
  <labl>Child's age at death (non-imputed) (third-to-last-born child)</labl>
  <imputation>Child's age at death (non-imputed) (third-to-last-born child)</imputation>
  <security>Child's age at death (non-imputed) (third-to-last-born child)</security>
  <embargo>Child's age at death (non-imputed) (third-to-last-born child)</embargo>
  <respUnit>Child's age at death (non-imputed) (third-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 day</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>Days: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>Months: Inconsistant</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>Months: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Months: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>35 years</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>36 years</labl>
  </catgry>
  <catgry>
    <catValu>337</catValu>
    <labl>37 years</labl>
  </catgry>
  <catgry>
    <catValu>338</catValu>
    <labl>38 years</labl>
  </catgry>
  <catgry>
    <catValu>397</catValu>
    <labl>Years: Inconsistant</labl>
  </catgry>
  <catgry>
    <catValu>398</catValu>
    <labl>Years: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Years: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistant</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATH_04" name="W_KIDAGEDEATH_04" files="W" intrvl="discrete">
  <labl>Child's age at death (non-imputed) (fourth-to-last-born child)</labl>
  <imputation>Child's age at death (non-imputed) (fourth-to-last-born child)</imputation>
  <security>Child's age at death (non-imputed) (fourth-to-last-born child)</security>
  <embargo>Child's age at death (non-imputed) (fourth-to-last-born child)</embargo>
  <respUnit>Child's age at death (non-imputed) (fourth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 day</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 days</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>Days: Inconsistant</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>Days: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days: number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>Months: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Months: number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>35 years</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>36 years</labl>
  </catgry>
  <catgry>
    <catValu>397</catValu>
    <labl>Years: Inconsistant</labl>
  </catgry>
  <catgry>
    <catValu>398</catValu>
    <labl>Years: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Years: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistant</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATH_05" name="W_KIDAGEDEATH_05" files="W" intrvl="discrete">
  <labl>Child's age at death (non-imputed) (fifth-to-last-born child)</labl>
  <imputation>Child's age at death (non-imputed) (fifth-to-last-born child)</imputation>
  <security>Child's age at death (non-imputed) (fifth-to-last-born child)</security>
  <embargo>Child's age at death (non-imputed) (fifth-to-last-born child)</embargo>
  <respUnit>Child's age at death (non-imputed) (fifth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 day</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>Days: Inconsistant</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>Days: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>Months: Inconsistant</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>Months: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Months: Missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>35 years</labl>
  </catgry>
  <catgry>
    <catValu>397</catValu>
    <labl>Years: Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>398</catValu>
    <labl>Years: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Years: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATH_06" name="W_KIDAGEDEATH_06" files="W" intrvl="discrete">
  <labl>Child's age at death (non-imputed) (sixth-to-last-born child)</labl>
  <imputation>Child's age at death (non-imputed) (sixth-to-last-born child)</imputation>
  <security>Child's age at death (non-imputed) (sixth-to-last-born child)</security>
  <embargo>Child's age at death (non-imputed) (sixth-to-last-born child)</embargo>
  <respUnit>Child's age at death (non-imputed) (sixth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 day</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>Days: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>Months: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Months: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>35 years</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>36 years</labl>
  </catgry>
  <catgry>
    <catValu>337</catValu>
    <labl>37 years</labl>
  </catgry>
  <catgry>
    <catValu>338</catValu>
    <labl>38 years</labl>
  </catgry>
  <catgry>
    <catValu>339</catValu>
    <labl>39 years</labl>
  </catgry>
  <catgry>
    <catValu>397</catValu>
    <labl>Years: Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>398</catValu>
    <labl>Years: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Years: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATH_07" name="W_KIDAGEDEATH_07" files="W" intrvl="discrete">
  <labl>Child's age at death (non-imputed) (seventh-to-last-born child)</labl>
  <imputation>Child's age at death (non-imputed) (seventh-to-last-born child)</imputation>
  <security>Child's age at death (non-imputed) (seventh-to-last-born child)</security>
  <embargo>Child's age at death (non-imputed) (seventh-to-last-born child)</embargo>
  <respUnit>Child's age at death (non-imputed) (seventh-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 day</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 days</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 days</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>Days: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>Months: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Months: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>35 years</labl>
  </catgry>
  <catgry>
    <catValu>397</catValu>
    <labl>Years: Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>398</catValu>
    <labl>Years: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Years: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATH_08" name="W_KIDAGEDEATH_08" files="W" intrvl="discrete">
  <labl>Child's age at death (non-imputed) (eighth-to-last-born child)</labl>
  <imputation>Child's age at death (non-imputed) (eighth-to-last-born child)</imputation>
  <security>Child's age at death (non-imputed) (eighth-to-last-born child)</security>
  <embargo>Child's age at death (non-imputed) (eighth-to-last-born child)</embargo>
  <respUnit>Child's age at death (non-imputed) (eighth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 day</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 days</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>Days: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>Months: Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>Months: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Months: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>35 years</labl>
  </catgry>
  <catgry>
    <catValu>397</catValu>
    <labl>Years: Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>398</catValu>
    <labl>Years: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Years: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATH_09" name="W_KIDAGEDEATH_09" files="W" intrvl="discrete">
  <labl>Child's age at death (non-imputed) (ninth-to-last-born child)</labl>
  <imputation>Child's age at death (non-imputed) (ninth-to-last-born child)</imputation>
  <security>Child's age at death (non-imputed) (ninth-to-last-born child)</security>
  <embargo>Child's age at death (non-imputed) (ninth-to-last-born child)</embargo>
  <respUnit>Child's age at death (non-imputed) (ninth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 day</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>Days: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>Months: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Monoths: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>35 years</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>36 years</labl>
  </catgry>
  <catgry>
    <catValu>397</catValu>
    <labl>Years: Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>398</catValu>
    <labl>Years: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Years: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATH_10" name="W_KIDAGEDEATH_10" files="W" intrvl="discrete">
  <labl>Child's age at death (non-imputed) (tenth-to-last-born child)</labl>
  <imputation>Child's age at death (non-imputed) (tenth-to-last-born child)</imputation>
  <security>Child's age at death (non-imputed) (tenth-to-last-born child)</security>
  <embargo>Child's age at death (non-imputed) (tenth-to-last-born child)</embargo>
  <respUnit>Child's age at death (non-imputed) (tenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 day</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>Days: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>Months: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Months: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>35 years</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>36 years</labl>
  </catgry>
  <catgry>
    <catValu>337</catValu>
    <labl>37 years</labl>
  </catgry>
  <catgry>
    <catValu>397</catValu>
    <labl>Years: Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>398</catValu>
    <labl>Years: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Years: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATH_11" name="W_KIDAGEDEATH_11" files="W" intrvl="discrete">
  <labl>Child's age at death (non-imputed) (eleventh-to-last-born child)</labl>
  <imputation>Child's age at death (non-imputed) (eleventh-to-last-born child)</imputation>
  <security>Child's age at death (non-imputed) (eleventh-to-last-born child)</security>
  <embargo>Child's age at death (non-imputed) (eleventh-to-last-born child)</embargo>
  <respUnit>Child's age at death (non-imputed) (eleventh-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 day</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>Days: Don’t know</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>Months: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Months: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>397</catValu>
    <labl>Years: Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>398</catValu>
    <labl>Years: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Years: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATH_12" name="W_KIDAGEDEATH_12" files="W" intrvl="discrete">
  <labl>Child's age at death (non-imputed) (twelfth-to-last-born child)</labl>
  <imputation>Child's age at death (non-imputed) (twelfth-to-last-born child)</imputation>
  <security>Child's age at death (non-imputed) (twelfth-to-last-born child)</security>
  <embargo>Child's age at death (non-imputed) (twelfth-to-last-born child)</embargo>
  <respUnit>Child's age at death (non-imputed) (twelfth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 day</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>Days: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Months: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>397</catValu>
    <labl>Years: Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>398</catValu>
    <labl>Years: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Years: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATH_13" name="W_KIDAGEDEATH_13" files="W" intrvl="discrete">
  <labl>Child's age at death (non-imputed) (thirteenth-to-last-born child)</labl>
  <imputation>Child's age at death (non-imputed) (thirteenth-to-last-born child)</imputation>
  <security>Child's age at death (non-imputed) (thirteenth-to-last-born child)</security>
  <embargo>Child's age at death (non-imputed) (thirteenth-to-last-born child)</embargo>
  <respUnit>Child's age at death (non-imputed) (thirteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 day</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>Days: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Months: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>397</catValu>
    <labl>Years: Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>398</catValu>
    <labl>Years: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Years: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATH_14" name="W_KIDAGEDEATH_14" files="W" intrvl="discrete">
  <labl>Child's age at death (non-imputed) (fourteenth-to-last-born child)</labl>
  <imputation>Child's age at death (non-imputed) (fourteenth-to-last-born child)</imputation>
  <security>Child's age at death (non-imputed) (fourteenth-to-last-born child)</security>
  <embargo>Child's age at death (non-imputed) (fourteenth-to-last-born child)</embargo>
  <respUnit>Child's age at death (non-imputed) (fourteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 day</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>Days: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Months: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>397</catValu>
    <labl>Years: Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>398</catValu>
    <labl>Years: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Years: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATH_15" name="W_KIDAGEDEATH_15" files="W" intrvl="discrete">
  <labl>Child's age at death (non-imputed) (fifteenth-to-last-born child)</labl>
  <imputation>Child's age at death (non-imputed) (fifteenth-to-last-born child)</imputation>
  <security>Child's age at death (non-imputed) (fifteenth-to-last-born child)</security>
  <embargo>Child's age at death (non-imputed) (fifteenth-to-last-born child)</embargo>
  <respUnit>Child's age at death (non-imputed) (fifteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 day</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>Days: Don’t know</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>Months: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Months: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>35 years</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>36 years</labl>
  </catgry>
  <catgry>
    <catValu>337</catValu>
    <labl>37 years</labl>
  </catgry>
  <catgry>
    <catValu>397</catValu>
    <labl>Years: Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>398</catValu>
    <labl>Years: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Years: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATH_16" name="W_KIDAGEDEATH_16" files="W" intrvl="discrete">
  <labl>Child's age at death (non-imputed) (sixteenth-to-last-born child)</labl>
  <imputation>Child's age at death (non-imputed) (sixteenth-to-last-born child)</imputation>
  <security>Child's age at death (non-imputed) (sixteenth-to-last-born child)</security>
  <embargo>Child's age at death (non-imputed) (sixteenth-to-last-born child)</embargo>
  <respUnit>Child's age at death (non-imputed) (sixteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 day</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>Days: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Months: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>397</catValu>
    <labl>Years: Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>398</catValu>
    <labl>Years: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Years: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATH_17" name="W_KIDAGEDEATH_17" files="W" intrvl="discrete">
  <labl>Child's age at death (non-imputed) (seventeenth-to-last-born child)</labl>
  <imputation>Child's age at death (non-imputed) (seventeenth-to-last-born child)</imputation>
  <security>Child's age at death (non-imputed) (seventeenth-to-last-born child)</security>
  <embargo>Child's age at death (non-imputed) (seventeenth-to-last-born child)</embargo>
  <respUnit>Child's age at death (non-imputed) (seventeenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 day</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>Days: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Months: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>397</catValu>
    <labl>Years: Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>398</catValu>
    <labl>Years: Don't know</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Years: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATH_18" name="W_KIDAGEDEATH_18" files="W" intrvl="discrete">
  <labl>Child's age at death (non-imputed) (eighteenth-to-last-born child)</labl>
  <imputation>Child's age at death (non-imputed) (eighteenth-to-last-born child)</imputation>
  <security>Child's age at death (non-imputed) (eighteenth-to-last-born child)</security>
  <embargo>Child's age at death (non-imputed) (eighteenth-to-last-born child)</embargo>
  <respUnit>Child's age at death (non-imputed) (eighteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 day</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Months: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Years: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATH_19" name="W_KIDAGEDEATH_19" files="W" intrvl="discrete">
  <labl>Child's age at death (non-imputed) (nineteenth-to-last-born child)</labl>
  <imputation>Child's age at death (non-imputed) (nineteenth-to-last-born child)</imputation>
  <security>Child's age at death (non-imputed) (nineteenth-to-last-born child)</security>
  <embargo>Child's age at death (non-imputed) (nineteenth-to-last-born child)</embargo>
  <respUnit>Child's age at death (non-imputed) (nineteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 day</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Months: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Years: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATH_20" name="W_KIDAGEDEATH_20" files="W" intrvl="discrete">
  <labl>Child's age at death (non-imputed) (twentieth-to-last-born child)</labl>
  <imputation>Child's age at death (non-imputed) (twentieth-to-last-born child)</imputation>
  <security>Child's age at death (non-imputed) (twentieth-to-last-born child)</security>
  <embargo>Child's age at death (non-imputed) (twentieth-to-last-born child)</embargo>
  <respUnit>Child's age at death (non-imputed) (twentieth-to-last-born child)</respUnit>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 day</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Months: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Years: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDIEDIMP_ALL" name="W_KIDAGEDIEDIMP_ALL" files="W" intrvl="discrete">
  <labl>Child's age at death in months (including imputed)</labl>
  <imputation>Child's age at death in months (including imputed)</imputation>
  <security>Child's age at death in months (including imputed)</security>
  <embargo>Child's age at death in months (including imputed)</embargo>
  <respUnit>Child's age at death in months (including imputed)</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>KIDAGEDIEDIMP_ALL available</labl>
  </catgry>
  <txt>KIDAGEDIEDIMP _ALL (B7_x) reports the age of the deceased child at death in months (including imputed ages).  

KIDAGEDIEDIMP_ALL consists of a set of twenty separate variables, covering the most recent birth (KIDAGEDIEDIMP_01) up to the twentieth-most-recent birth (KIDAGEDIEDIMP_20) for a female respondent of childbearing age.  If KIDAGEDIEDIMP_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

Information for this variable was collected on all births for a woman, up to a maximum of twenty. In many cases, data were hypothetically collected on up to twenty births, but no women in the survey had so many births (e.g., no woman had 19 or 20 births). If, for example, no woman in a survey had 20 births and only blank values were included in the original DHS file, then KIDAGEDIEDIMP_20 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDIEDIMP_01" name="W_KIDAGEDIEDIMP_01" files="W" intrvl="discrete">
  <labl>Child's age at death in months (including imputed) (last birth)</labl>
  <imputation>Child's age at death in months (including imputed) (last birth)</imputation>
  <security>Child's age at death in months (including imputed) (last birth)</security>
  <embargo>Child's age at death in months (including imputed) (last birth)</embargo>
  <respUnit>Child's age at death in months (including imputed) (last birth)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDIEDIMP_02" name="W_KIDAGEDIEDIMP_02" files="W" intrvl="discrete">
  <labl>Child's age at death in months (including imputed) (second-to-last birth)</labl>
  <imputation>Child's age at death in months (including imputed) (second-to-last birth)</imputation>
  <security>Child's age at death in months (including imputed) (second-to-last birth)</security>
  <embargo>Child's age at death in months (including imputed) (second-to-last birth)</embargo>
  <respUnit>Child's age at death in months (including imputed) (second-to-last birth)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDIEDIMP_03" name="W_KIDAGEDIEDIMP_03" files="W" intrvl="discrete">
  <labl>Child's age at death in months (including imputed) (third-to-last birth)</labl>
  <imputation>Child's age at death in months (including imputed) (third-to-last birth)</imputation>
  <security>Child's age at death in months (including imputed) (third-to-last birth)</security>
  <embargo>Child's age at death in months (including imputed) (third-to-last birth)</embargo>
  <respUnit>Child's age at death in months (including imputed) (third-to-last birth)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDIEDIMP_04" name="W_KIDAGEDIEDIMP_04" files="W" intrvl="discrete">
  <labl>Child's age at death in months (including imputed) (fourth-to-last birth)</labl>
  <imputation>Child's age at death in months (including imputed) (fourth-to-last birth)</imputation>
  <security>Child's age at death in months (including imputed) (fourth-to-last birth)</security>
  <embargo>Child's age at death in months (including imputed) (fourth-to-last birth)</embargo>
  <respUnit>Child's age at death in months (including imputed) (fourth-to-last birth)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDIEDIMP_05" name="W_KIDAGEDIEDIMP_05" files="W" intrvl="discrete">
  <labl>Child's age at death in months (including imputed) (fifth-to-last birth)</labl>
  <imputation>Child's age at death in months (including imputed) (fifth-to-last birth)</imputation>
  <security>Child's age at death in months (including imputed) (fifth-to-last birth)</security>
  <embargo>Child's age at death in months (including imputed) (fifth-to-last birth)</embargo>
  <respUnit>Child's age at death in months (including imputed) (fifth-to-last birth)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDIEDIMP_06" name="W_KIDAGEDIEDIMP_06" files="W" intrvl="discrete">
  <labl>Child's age at death in months (including imputed) (sixth-to-last birth)</labl>
  <imputation>Child's age at death in months (including imputed) (sixth-to-last birth)</imputation>
  <security>Child's age at death in months (including imputed) (sixth-to-last birth)</security>
  <embargo>Child's age at death in months (including imputed) (sixth-to-last birth)</embargo>
  <respUnit>Child's age at death in months (including imputed) (sixth-to-last birth)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDIEDIMP_07" name="W_KIDAGEDIEDIMP_07" files="W" intrvl="discrete">
  <labl>Child's age at death in months (including imputed) (seventh-to-last birth)</labl>
  <imputation>Child's age at death in months (including imputed) (seventh-to-last birth)</imputation>
  <security>Child's age at death in months (including imputed) (seventh-to-last birth)</security>
  <embargo>Child's age at death in months (including imputed) (seventh-to-last birth)</embargo>
  <respUnit>Child's age at death in months (including imputed) (seventh-to-last birth)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDIEDIMP_08" name="W_KIDAGEDIEDIMP_08" files="W" intrvl="discrete">
  <labl>Child's age at death in months (including imputed) (eighth-to-last birth)</labl>
  <imputation>Child's age at death in months (including imputed) (eighth-to-last birth)</imputation>
  <security>Child's age at death in months (including imputed) (eighth-to-last birth)</security>
  <embargo>Child's age at death in months (including imputed) (eighth-to-last birth)</embargo>
  <respUnit>Child's age at death in months (including imputed) (eighth-to-last birth)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDIEDIMP_09" name="W_KIDAGEDIEDIMP_09" files="W" intrvl="discrete">
  <labl>Child's age at death in months (including imputed) (ninth-to-last birth)</labl>
  <imputation>Child's age at death in months (including imputed) (ninth-to-last birth)</imputation>
  <security>Child's age at death in months (including imputed) (ninth-to-last birth)</security>
  <embargo>Child's age at death in months (including imputed) (ninth-to-last birth)</embargo>
  <respUnit>Child's age at death in months (including imputed) (ninth-to-last birth)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDIEDIMP_10" name="W_KIDAGEDIEDIMP_10" files="W" intrvl="discrete">
  <labl>Child's age at death in months (including imputed) (tenth-to-last birth)</labl>
  <imputation>Child's age at death in months (including imputed) (tenth-to-last birth)</imputation>
  <security>Child's age at death in months (including imputed) (tenth-to-last birth)</security>
  <embargo>Child's age at death in months (including imputed) (tenth-to-last birth)</embargo>
  <respUnit>Child's age at death in months (including imputed) (tenth-to-last birth)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDIEDIMP_11" name="W_KIDAGEDIEDIMP_11" files="W" intrvl="discrete">
  <labl>Child's age at death in months (including imputed) (eleventh-to-last birth)</labl>
  <imputation>Child's age at death in months (including imputed) (eleventh-to-last birth)</imputation>
  <security>Child's age at death in months (including imputed) (eleventh-to-last birth)</security>
  <embargo>Child's age at death in months (including imputed) (eleventh-to-last birth)</embargo>
  <respUnit>Child's age at death in months (including imputed) (eleventh-to-last birth)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDIEDIMP_12" name="W_KIDAGEDIEDIMP_12" files="W" intrvl="discrete">
  <labl>Child's age at death in months (including imputed) (twelfth-to-last birth)</labl>
  <imputation>Child's age at death in months (including imputed) (twelfth-to-last birth)</imputation>
  <security>Child's age at death in months (including imputed) (twelfth-to-last birth)</security>
  <embargo>Child's age at death in months (including imputed) (twelfth-to-last birth)</embargo>
  <respUnit>Child's age at death in months (including imputed) (twelfth-to-last birth)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDIEDIMP_13" name="W_KIDAGEDIEDIMP_13" files="W" intrvl="discrete">
  <labl>Child's age at death in months (including imputed) (thirteenth-to-last birth)</labl>
  <imputation>Child's age at death in months (including imputed) (thirteenth-to-last birth)</imputation>
  <security>Child's age at death in months (including imputed) (thirteenth-to-last birth)</security>
  <embargo>Child's age at death in months (including imputed) (thirteenth-to-last birth)</embargo>
  <respUnit>Child's age at death in months (including imputed) (thirteenth-to-last birth)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDIEDIMP_14" name="W_KIDAGEDIEDIMP_14" files="W" intrvl="discrete">
  <labl>Child's age at death in months (including imputed) (fourteenth-to-last birth)</labl>
  <imputation>Child's age at death in months (including imputed) (fourteenth-to-last birth)</imputation>
  <security>Child's age at death in months (including imputed) (fourteenth-to-last birth)</security>
  <embargo>Child's age at death in months (including imputed) (fourteenth-to-last birth)</embargo>
  <respUnit>Child's age at death in months (including imputed) (fourteenth-to-last birth)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDIEDIMP_15" name="W_KIDAGEDIEDIMP_15" files="W" intrvl="discrete">
  <labl>Child's age at death in months (including imputed) (fifteenth-to-last birth)</labl>
  <imputation>Child's age at death in months (including imputed) (fifteenth-to-last birth)</imputation>
  <security>Child's age at death in months (including imputed) (fifteenth-to-last birth)</security>
  <embargo>Child's age at death in months (including imputed) (fifteenth-to-last birth)</embargo>
  <respUnit>Child's age at death in months (including imputed) (fifteenth-to-last birth)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDIEDIMP_16" name="W_KIDAGEDIEDIMP_16" files="W" intrvl="discrete">
  <labl>Child's age at death in months (including imputed) (sixteenth-to-last birth)</labl>
  <imputation>Child's age at death in months (including imputed) (sixteenth-to-last birth)</imputation>
  <security>Child's age at death in months (including imputed) (sixteenth-to-last birth)</security>
  <embargo>Child's age at death in months (including imputed) (sixteenth-to-last birth)</embargo>
  <respUnit>Child's age at death in months (including imputed) (sixteenth-to-last birth)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDIEDIMP_17" name="W_KIDAGEDIEDIMP_17" files="W" intrvl="discrete">
  <labl>Child's age at death in months (including imputed) (seventeenth-to-last birth)</labl>
  <imputation>Child's age at death in months (including imputed) (seventeenth-to-last birth)</imputation>
  <security>Child's age at death in months (including imputed) (seventeenth-to-last birth)</security>
  <embargo>Child's age at death in months (including imputed) (seventeenth-to-last birth)</embargo>
  <respUnit>Child's age at death in months (including imputed) (seventeenth-to-last birth)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDIEDIMP_18" name="W_KIDAGEDIEDIMP_18" files="W" intrvl="discrete">
  <labl>Child's age at death in months (including imputed) (eighteenth-to-last birth)</labl>
  <imputation>Child's age at death in months (including imputed) (eighteenth-to-last birth)</imputation>
  <security>Child's age at death in months (including imputed) (eighteenth-to-last birth)</security>
  <embargo>Child's age at death in months (including imputed) (eighteenth-to-last birth)</embargo>
  <respUnit>Child's age at death in months (including imputed) (eighteenth-to-last birth)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDIEDIMP_19" name="W_KIDAGEDIEDIMP_19" files="W" intrvl="discrete">
  <labl>Child's age at death in months (including imputed) (nineteenth-to-last birth)</labl>
  <imputation>Child's age at death in months (including imputed) (nineteenth-to-last birth)</imputation>
  <security>Child's age at death in months (including imputed) (nineteenth-to-last birth)</security>
  <embargo>Child's age at death in months (including imputed) (nineteenth-to-last birth)</embargo>
  <respUnit>Child's age at death in months (including imputed) (nineteenth-to-last birth)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDIEDIMP_20" name="W_KIDAGEDIEDIMP_20" files="W" intrvl="discrete">
  <labl>Child's age at death in months (including imputed) (twentieth-to-last birth)</labl>
  <imputation>Child's age at death in months (including imputed) (twentieth-to-last birth)</imputation>
  <security>Child's age at death in months (including imputed) (twentieth-to-last birth)</security>
  <embargo>Child's age at death in months (including imputed) (twentieth-to-last birth)</embargo>
  <respUnit>Child's age at death in months (including imputed) (twentieth-to-last birth)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATHFLAG_ALL" name="W_KIDAGEDEATHFLAG_ALL" files="W" intrvl="discrete">
  <labl>Flags for reported age at death of child</labl>
  <imputation>Flags for reported age at death of child</imputation>
  <security>Flags for reported age at death of child</security>
  <embargo>Flags for reported age at death of child</embargo>
  <respUnit>Flags for reported age at death of child</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>KIDAGEDEATHFLAG_ALL available</labl>
  </catgry>
  <txt>KIDAGEDEATHFLAG_ALL (B13_x) reports the type of problem, if any, found when editing responses about the child's age at death (in KIDAGEDEATH_ALL). A code of 0 indicates no problem with the original response.

KIDAGEDEATHFLAG_ALL consists of a set of twenty separate variables, covering the most recent birth (KIDAGEDEATHFLAG_01) up to the twentieth-most-recent birth (KIDAGEDEATHFLAG_20) for a female respondent of childbearing age. If KIDAGEDEATHFLAG_ALL is included in a data extract, all these separate variables are included in a researcher's data file.

Information for this variable was collected on all births for a woman, up to a maximum of twenty births. In many cases, data were hypothetically collected on up to twenty births, but no women in the survey had so many births (e.g., no woman had 19 or 20 births). If, for example, no woman in a survey had 20 births and only blank values were included in the original DHS file, then KIDAGEDEATHFLAG_20 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATHFLAG_01" name="W_KIDAGEDEATHFLAG_01" files="W" intrvl="discrete">
  <labl>Flags for reported age at death of child (last-born child)</labl>
  <imputation>Flags for reported age at death of child (last-born child)</imputation>
  <security>Flags for reported age at death of child (last-born child)</security>
  <embargo>Flags for reported age at death of child (last-born child)</embargo>
  <respUnit>Flags for reported age at death of child (last-born child)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Reported age places death after interview</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Reported age less than reported duration breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Reported age less than age given supplemental food</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Reported age less than age first breastfed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Reported age before last vaccination</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Reported age outside expected range for units</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported age was imputed, units given</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported age was imputed, units not given</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported age adjusted to give age in months</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATHFLAG_02" name="W_KIDAGEDEATHFLAG_02" files="W" intrvl="discrete">
  <labl>Flags for reported age at death of child (second-to-last-born child)</labl>
  <imputation>Flags for reported age at death of child (second-to-last-born child)</imputation>
  <security>Flags for reported age at death of child (second-to-last-born child)</security>
  <embargo>Flags for reported age at death of child (second-to-last-born child)</embargo>
  <respUnit>Flags for reported age at death of child (second-to-last-born child)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Reported age places death after interview</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Reported age less than reported duration breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Reported age less than age given supplemental food</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Reported age less than age first breastfed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Reported age before last vaccination</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Reported age outside expected range for units</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported age was imputed, units given</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported age was imputed, units not given</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported age adjusted to give age in months</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATHFLAG_03" name="W_KIDAGEDEATHFLAG_03" files="W" intrvl="discrete">
  <labl>Flags for reported age at death of child (third-to-last-born child)</labl>
  <imputation>Flags for reported age at death of child (third-to-last-born child)</imputation>
  <security>Flags for reported age at death of child (third-to-last-born child)</security>
  <embargo>Flags for reported age at death of child (third-to-last-born child)</embargo>
  <respUnit>Flags for reported age at death of child (third-to-last-born child)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Reported age places death after interview</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Reported age less than reported duration breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Reported age less than age given supplemental food</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Reported age less than age first breastfed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Reported age before last vaccination</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Reported age outside expected range for units</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported age was imputed, units given</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported age was imputed, units not given</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported age adjusted to give age in months</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATHFLAG_04" name="W_KIDAGEDEATHFLAG_04" files="W" intrvl="discrete">
  <labl>Flags for reported age at death of child (fourth-to-last-born child)</labl>
  <imputation>Flags for reported age at death of child (fourth-to-last-born child)</imputation>
  <security>Flags for reported age at death of child (fourth-to-last-born child)</security>
  <embargo>Flags for reported age at death of child (fourth-to-last-born child)</embargo>
  <respUnit>Flags for reported age at death of child (fourth-to-last-born child)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Reported age places death after interview</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Reported age less than reported duration breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Reported age less than age given supplemental food</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Reported age less than age first breastfed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Reported age before last vaccination</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Reported age outside expected range for units</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported age was imputed, units given</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported age was imputed, units not given</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported age adjusted to give age in months</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATHFLAG_05" name="W_KIDAGEDEATHFLAG_05" files="W" intrvl="discrete">
  <labl>Flags for reported age at death of child (fifth-to-last-born child)</labl>
  <imputation>Flags for reported age at death of child (fifth-to-last-born child)</imputation>
  <security>Flags for reported age at death of child (fifth-to-last-born child)</security>
  <embargo>Flags for reported age at death of child (fifth-to-last-born child)</embargo>
  <respUnit>Flags for reported age at death of child (fifth-to-last-born child)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Reported age places death after interview</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Reported age less than reported duration breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Reported age less than age given supplemental food</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Reported age less than age first breastfed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Reported age before last vaccination</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Reported age outside expected range for units</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported age was imputed, units given</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported age was imputed, units not given</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported age adjusted to give age in months</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATHFLAG_06" name="W_KIDAGEDEATHFLAG_06" files="W" intrvl="discrete">
  <labl>Flags for reported age at death of child (sixth-to-last-born child)</labl>
  <imputation>Flags for reported age at death of child (sixth-to-last-born child)</imputation>
  <security>Flags for reported age at death of child (sixth-to-last-born child)</security>
  <embargo>Flags for reported age at death of child (sixth-to-last-born child)</embargo>
  <respUnit>Flags for reported age at death of child (sixth-to-last-born child)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Reported age places death after interview</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Reported age less than reported duration breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Reported age less than age given supplemental food</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Reported age less than age first breastfed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Reported age before last vaccination</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Reported age outside expected range for units</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported age was imputed, units given</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported age was imputed, units not given</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported age adjusted to give age in months</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATHFLAG_07" name="W_KIDAGEDEATHFLAG_07" files="W" intrvl="discrete">
  <labl>Flags for reported age at death of child (seventh-to-last-born child)</labl>
  <imputation>Flags for reported age at death of child (seventh-to-last-born child)</imputation>
  <security>Flags for reported age at death of child (seventh-to-last-born child)</security>
  <embargo>Flags for reported age at death of child (seventh-to-last-born child)</embargo>
  <respUnit>Flags for reported age at death of child (seventh-to-last-born child)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Reported age places death after interview</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Reported age less than reported duration breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Reported age less than age given supplemental food</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Reported age less than age first breastfed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Reported age before last vaccination</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Reported age outside expected range for units</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported age was imputed, units given</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported age was imputed, units not given</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported age adjusted to give age in months</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATHFLAG_08" name="W_KIDAGEDEATHFLAG_08" files="W" intrvl="discrete">
  <labl>Flags for reported age at death of child (eighth-to-last-born child)</labl>
  <imputation>Flags for reported age at death of child (eighth-to-last-born child)</imputation>
  <security>Flags for reported age at death of child (eighth-to-last-born child)</security>
  <embargo>Flags for reported age at death of child (eighth-to-last-born child)</embargo>
  <respUnit>Flags for reported age at death of child (eighth-to-last-born child)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Reported age places death after interview</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Reported age less than reported duration breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Reported age less than age given supplemental food</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Reported age less than age first breastfed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Reported age before last vaccination</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Reported age outside expected range for units</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported age was imputed, units given</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported age was imputed, units not given</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported age adjusted to give age in months</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATHFLAG_09" name="W_KIDAGEDEATHFLAG_09" files="W" intrvl="discrete">
  <labl>Flags for reported age at death of child (ninth-to-last-born child)</labl>
  <imputation>Flags for reported age at death of child (ninth-to-last-born child)</imputation>
  <security>Flags for reported age at death of child (ninth-to-last-born child)</security>
  <embargo>Flags for reported age at death of child (ninth-to-last-born child)</embargo>
  <respUnit>Flags for reported age at death of child (ninth-to-last-born child)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Reported age places death after interview</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Reported age less than reported duration breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Reported age less than age given supplemental food</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Reported age less than age first breastfed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Reported age before last vaccination</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Reported age outside expected range for units</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported age was imputed, units given</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported age was imputed, units not given</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported age adjusted to give age in months</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATHFLAG_10" name="W_KIDAGEDEATHFLAG_10" files="W" intrvl="discrete">
  <labl>Flags for reported age at death of child (tenth-to-last-born child)</labl>
  <imputation>Flags for reported age at death of child (tenth-to-last-born child)</imputation>
  <security>Flags for reported age at death of child (tenth-to-last-born child)</security>
  <embargo>Flags for reported age at death of child (tenth-to-last-born child)</embargo>
  <respUnit>Flags for reported age at death of child (tenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Reported age places death after interview</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Reported age less than reported duration breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Reported age less than age given supplemental food</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Reported age less than age first breastfed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Reported age before last vaccination</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Reported age outside expected range for units</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported age was imputed, units given</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported age was imputed, units not given</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported age adjusted to give age in months</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATHFLAG_11" name="W_KIDAGEDEATHFLAG_11" files="W" intrvl="discrete">
  <labl>Flags for reported age at death of child (eleventh-to-last-born child)</labl>
  <imputation>Flags for reported age at death of child (eleventh-to-last-born child)</imputation>
  <security>Flags for reported age at death of child (eleventh-to-last-born child)</security>
  <embargo>Flags for reported age at death of child (eleventh-to-last-born child)</embargo>
  <respUnit>Flags for reported age at death of child (eleventh-to-last-born child)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Reported age places death after interview</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Reported age less than reported duration breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Reported age less than age given supplemental food</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Reported age less than age first breastfed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Reported age before last vaccination</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Reported age outside expected range for units</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported age was imputed, units given</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported age was imputed, units not given</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported age adjusted to give age in months</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATHFLAG_12" name="W_KIDAGEDEATHFLAG_12" files="W" intrvl="discrete">
  <labl>Flags for reported age at death of child (twelfth-to-last-born child)</labl>
  <imputation>Flags for reported age at death of child (twelfth-to-last-born child)</imputation>
  <security>Flags for reported age at death of child (twelfth-to-last-born child)</security>
  <embargo>Flags for reported age at death of child (twelfth-to-last-born child)</embargo>
  <respUnit>Flags for reported age at death of child (twelfth-to-last-born child)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Reported age places death after interview</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Reported age less than reported duration breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Reported age less than age given supplemental food</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Reported age less than age first breastfed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Reported age before last vaccination</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Reported age outside expected range for units</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported age was imputed, units given</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported age was imputed, units not given</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported age adjusted to give age in months</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATHFLAG_13" name="W_KIDAGEDEATHFLAG_13" files="W" intrvl="discrete">
  <labl>Flags for reported age at death of child (thirteenth-to-last-born child)</labl>
  <imputation>Flags for reported age at death of child (thirteenth-to-last-born child)</imputation>
  <security>Flags for reported age at death of child (thirteenth-to-last-born child)</security>
  <embargo>Flags for reported age at death of child (thirteenth-to-last-born child)</embargo>
  <respUnit>Flags for reported age at death of child (thirteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Reported age places death after interview</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Reported age less than reported duration breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Reported age less than age given supplemental food</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Reported age less than age first breastfed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Reported age before last vaccination</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Reported age outside expected range for units</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported age was imputed, units given</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported age was imputed, units not given</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported age adjusted to give age in months</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATHFLAG_14" name="W_KIDAGEDEATHFLAG_14" files="W" intrvl="discrete">
  <labl>Flags for reported age at death of child (fourteenth-to-last-born child)</labl>
  <imputation>Flags for reported age at death of child (fourteenth-to-last-born child)</imputation>
  <security>Flags for reported age at death of child (fourteenth-to-last-born child)</security>
  <embargo>Flags for reported age at death of child (fourteenth-to-last-born child)</embargo>
  <respUnit>Flags for reported age at death of child (fourteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Reported age places death after interview</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Reported age less than reported duration breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Reported age less than age given supplemental food</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Reported age less than age first breastfed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Reported age before last vaccination</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Reported age outside expected range for units</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported age was imputed, units given</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported age was imputed, units not given</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported age adjusted to give age in months</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATHFLAG_15" name="W_KIDAGEDEATHFLAG_15" files="W" intrvl="discrete">
  <labl>Flags for reported age at death of child (fifteenth-to-last-born child)</labl>
  <imputation>Flags for reported age at death of child (fifteenth-to-last-born child)</imputation>
  <security>Flags for reported age at death of child (fifteenth-to-last-born child)</security>
  <embargo>Flags for reported age at death of child (fifteenth-to-last-born child)</embargo>
  <respUnit>Flags for reported age at death of child (fifteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Reported age places death after interview</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Reported age less than reported duration breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Reported age less than age given supplemental food</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Reported age less than age first breastfed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Reported age before last vaccination</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Reported age outside expected range for units</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported age was imputed, units given</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported age was imputed, units not given</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported age adjusted to give age in months</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATHFLAG_16" name="W_KIDAGEDEATHFLAG_16" files="W" intrvl="discrete">
  <labl>Flags for reported age at death of child (sixteenth-to-last-born child)</labl>
  <imputation>Flags for reported age at death of child (sixteenth-to-last-born child)</imputation>
  <security>Flags for reported age at death of child (sixteenth-to-last-born child)</security>
  <embargo>Flags for reported age at death of child (sixteenth-to-last-born child)</embargo>
  <respUnit>Flags for reported age at death of child (sixteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Reported age places death after interview</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Reported age less than reported duration breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Reported age less than age given supplemental food</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Reported age less than age first breastfed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Reported age before last vaccination</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Reported age outside expected range for units</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported age was imputed, units given</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported age was imputed, units not given</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported age adjusted to give age in months</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATHFLAG_17" name="W_KIDAGEDEATHFLAG_17" files="W" intrvl="discrete">
  <labl>Flags for reported age at death of child (seventeenth-to-last-born child)</labl>
  <imputation>Flags for reported age at death of child (seventeenth-to-last-born child)</imputation>
  <security>Flags for reported age at death of child (seventeenth-to-last-born child)</security>
  <embargo>Flags for reported age at death of child (seventeenth-to-last-born child)</embargo>
  <respUnit>Flags for reported age at death of child (seventeenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Reported age places death after interview</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Reported age less than reported duration breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Reported age less than age given supplemental food</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Reported age less than age first breastfed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Reported age before last vaccination</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Reported age outside expected range for units</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported age was imputed, units given</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported age was imputed, units not given</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported age adjusted to give age in months</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATHFLAG_18" name="W_KIDAGEDEATHFLAG_18" files="W" intrvl="discrete">
  <labl>Flags for reported age at death of child (eighteenth-to-last-born child)</labl>
  <imputation>Flags for reported age at death of child (eighteenth-to-last-born child)</imputation>
  <security>Flags for reported age at death of child (eighteenth-to-last-born child)</security>
  <embargo>Flags for reported age at death of child (eighteenth-to-last-born child)</embargo>
  <respUnit>Flags for reported age at death of child (eighteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Reported age places death after interview</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Reported age less than reported duration breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Reported age less than age given supplemental food</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Reported age less than age first breastfed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Reported age before last vaccination</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Reported age outside expected range for units</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported age was imputed, units given</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported age was imputed, units not given</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported age adjusted to give age in months</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATHFLAG_19" name="W_KIDAGEDEATHFLAG_19" files="W" intrvl="discrete">
  <labl>Flags for reported age at death of child (nineteenth-to-last-born child)</labl>
  <imputation>Flags for reported age at death of child (nineteenth-to-last-born child)</imputation>
  <security>Flags for reported age at death of child (nineteenth-to-last-born child)</security>
  <embargo>Flags for reported age at death of child (nineteenth-to-last-born child)</embargo>
  <respUnit>Flags for reported age at death of child (nineteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Reported age places death after interview</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Reported age less than reported duration breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Reported age less than age given supplemental food</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Reported age less than age first breastfed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Reported age before last vaccination</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Reported age outside expected range for units</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported age was imputed, units given</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported age was imputed, units not given</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported age adjusted to give age in months</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEDEATHFLAG_20" name="W_KIDAGEDEATHFLAG_20" files="W" intrvl="discrete">
  <labl>Flags for reported age at death of child (twentieth-to-last-born child)</labl>
  <imputation>Flags for reported age at death of child (twentieth-to-last-born child)</imputation>
  <security>Flags for reported age at death of child (twentieth-to-last-born child)</security>
  <embargo>Flags for reported age at death of child (twentieth-to-last-born child)</embargo>
  <respUnit>Flags for reported age at death of child (twentieth-to-last-born child)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Reported age places death after interview</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Reported age less than reported duration breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Reported age less than age given supplemental food</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Reported age less than age first breastfed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Reported age before last vaccination</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Reported age outside expected range for units</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported age was imputed, units given</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported age was imputed, units not given</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported age adjusted to give age in months</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDCURAGE_ALL" name="W_KIDCURAGE_ALL" files="W" intrvl="discrete">
  <labl>Current age of child in years</labl>
  <imputation>Current age of child in years</imputation>
  <security>Current age of child in years</security>
  <embargo>Current age of child in years</embargo>
  <respUnit>Current age of child in years</respUnit>
  <qstn>
    <qstnLit>217) IF ALIVE: How old was (NAME) at his/her last birthday?

RECORD AGE IN COMPLETED YEARS.

AGE IN YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>KIDCURAGE_ALL available</labl>
  </catgry>
  <txt>KIDCURAGE_ALL (B8_x) reports the current age of the living child, in years, at the time of the survey.

KIDCURAGE_ALL consists of a set of twenty separate variables, covering the most recent birth (KIDCURAGE_01) up to the twentieth-most-recent birth (KIDCURAGE_20) for a female respondent of childbearing age.  If KIDCURAGE_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

Information for this variable was collected on all births for a woman, up to a maximum of twenty births. In many cases, data were hypothetically collected on up to twenty births, but no women in the survey had so many births (e.g., no woman had 19 or 20 births). If, for example, no woman in a survey had 20 births and only blank values were included in the original DHS file, then KIDCURAGE_20 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDCURAGE_01" name="W_KIDCURAGE_01" files="W" intrvl="discrete">
  <labl>Current age of child in years (last-born child)</labl>
  <imputation>Current age of child in years (last-born child)</imputation>
  <security>Current age of child in years (last-born child)</security>
  <embargo>Current age of child in years (last-born child)</embargo>
  <respUnit>Current age of child in years (last-born child)</respUnit>
  <qstn>
    <qstnLit>217) IF ALIVE: How old was (NAME) at his/her last birthday?

RECORD AGE IN COMPLETED YEARS.

AGE IN YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDCURAGE_02" name="W_KIDCURAGE_02" files="W" intrvl="discrete">
  <labl>Current age of child in years (second-to-last-born child)</labl>
  <imputation>Current age of child in years (second-to-last-born child)</imputation>
  <security>Current age of child in years (second-to-last-born child)</security>
  <embargo>Current age of child in years (second-to-last-born child)</embargo>
  <respUnit>Current age of child in years (second-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>217) IF ALIVE: How old was (NAME) at his/her last birthday?

RECORD AGE IN COMPLETED YEARS.

AGE IN YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDCURAGE_03" name="W_KIDCURAGE_03" files="W" intrvl="discrete">
  <labl>Current age of child in years (third-to-last-born child)</labl>
  <imputation>Current age of child in years (third-to-last-born child)</imputation>
  <security>Current age of child in years (third-to-last-born child)</security>
  <embargo>Current age of child in years (third-to-last-born child)</embargo>
  <respUnit>Current age of child in years (third-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>217) IF ALIVE: How old was (NAME) at his/her last birthday?

RECORD AGE IN COMPLETED YEARS.

AGE IN YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDCURAGE_04" name="W_KIDCURAGE_04" files="W" intrvl="discrete">
  <labl>Current age of child in years (fourth-to-last-born child)</labl>
  <imputation>Current age of child in years (fourth-to-last-born child)</imputation>
  <security>Current age of child in years (fourth-to-last-born child)</security>
  <embargo>Current age of child in years (fourth-to-last-born child)</embargo>
  <respUnit>Current age of child in years (fourth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>217) IF ALIVE: How old was (NAME) at his/her last birthday?

RECORD AGE IN COMPLETED YEARS.

AGE IN YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDCURAGE_05" name="W_KIDCURAGE_05" files="W" intrvl="discrete">
  <labl>Current age of child in years (fifth-to-last-born child)</labl>
  <imputation>Current age of child in years (fifth-to-last-born child)</imputation>
  <security>Current age of child in years (fifth-to-last-born child)</security>
  <embargo>Current age of child in years (fifth-to-last-born child)</embargo>
  <respUnit>Current age of child in years (fifth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>217) IF ALIVE: How old was (NAME) at his/her last birthday?

RECORD AGE IN COMPLETED YEARS.

AGE IN YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDCURAGE_06" name="W_KIDCURAGE_06" files="W" intrvl="discrete">
  <labl>Current age of child in years (sixth-to-last-born child)</labl>
  <imputation>Current age of child in years (sixth-to-last-born child)</imputation>
  <security>Current age of child in years (sixth-to-last-born child)</security>
  <embargo>Current age of child in years (sixth-to-last-born child)</embargo>
  <respUnit>Current age of child in years (sixth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>217) IF ALIVE: How old was (NAME) at his/her last birthday?

RECORD AGE IN COMPLETED YEARS.

AGE IN YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDCURAGE_07" name="W_KIDCURAGE_07" files="W" intrvl="discrete">
  <labl>Current age of child in years (seventh-to-last-born child)</labl>
  <imputation>Current age of child in years (seventh-to-last-born child)</imputation>
  <security>Current age of child in years (seventh-to-last-born child)</security>
  <embargo>Current age of child in years (seventh-to-last-born child)</embargo>
  <respUnit>Current age of child in years (seventh-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>217) IF ALIVE: How old was (NAME) at his/her last birthday?

RECORD AGE IN COMPLETED YEARS.

AGE IN YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDCURAGE_08" name="W_KIDCURAGE_08" files="W" intrvl="discrete">
  <labl>Current age of child in years (eighth-to-last-born child)</labl>
  <imputation>Current age of child in years (eighth-to-last-born child)</imputation>
  <security>Current age of child in years (eighth-to-last-born child)</security>
  <embargo>Current age of child in years (eighth-to-last-born child)</embargo>
  <respUnit>Current age of child in years (eighth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>217) IF ALIVE: How old was (NAME) at his/her last birthday?

RECORD AGE IN COMPLETED YEARS.

AGE IN YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDCURAGE_09" name="W_KIDCURAGE_09" files="W" intrvl="discrete">
  <labl>Current age of child in years (ninth-to-last-born child)</labl>
  <imputation>Current age of child in years (ninth-to-last-born child)</imputation>
  <security>Current age of child in years (ninth-to-last-born child)</security>
  <embargo>Current age of child in years (ninth-to-last-born child)</embargo>
  <respUnit>Current age of child in years (ninth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>217) IF ALIVE: How old was (NAME) at his/her last birthday?

RECORD AGE IN COMPLETED YEARS.

AGE IN YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDCURAGE_10" name="W_KIDCURAGE_10" files="W" intrvl="discrete">
  <labl>Current age of child in years (tenth-to-last-born child)</labl>
  <imputation>Current age of child in years (tenth-to-last-born child)</imputation>
  <security>Current age of child in years (tenth-to-last-born child)</security>
  <embargo>Current age of child in years (tenth-to-last-born child)</embargo>
  <respUnit>Current age of child in years (tenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>217) IF ALIVE: How old was (NAME) at his/her last birthday?

RECORD AGE IN COMPLETED YEARS.

AGE IN YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDCURAGE_11" name="W_KIDCURAGE_11" files="W" intrvl="discrete">
  <labl>Current age of child in years (eleventh-to-last-born child)</labl>
  <imputation>Current age of child in years (eleventh-to-last-born child)</imputation>
  <security>Current age of child in years (eleventh-to-last-born child)</security>
  <embargo>Current age of child in years (eleventh-to-last-born child)</embargo>
  <respUnit>Current age of child in years (eleventh-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>217) IF ALIVE: How old was (NAME) at his/her last birthday?

RECORD AGE IN COMPLETED YEARS.

AGE IN YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDCURAGE_12" name="W_KIDCURAGE_12" files="W" intrvl="discrete">
  <labl>Current age of child in years (twelfth-to-last-born child)</labl>
  <imputation>Current age of child in years (twelfth-to-last-born child)</imputation>
  <security>Current age of child in years (twelfth-to-last-born child)</security>
  <embargo>Current age of child in years (twelfth-to-last-born child)</embargo>
  <respUnit>Current age of child in years (twelfth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>217) IF ALIVE: How old was (NAME) at his/her last birthday?

RECORD AGE IN COMPLETED YEARS.

AGE IN YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDCURAGE_13" name="W_KIDCURAGE_13" files="W" intrvl="discrete">
  <labl>Current age of child in years (thirteenth-to-last-born child)</labl>
  <imputation>Current age of child in years (thirteenth-to-last-born child)</imputation>
  <security>Current age of child in years (thirteenth-to-last-born child)</security>
  <embargo>Current age of child in years (thirteenth-to-last-born child)</embargo>
  <respUnit>Current age of child in years (thirteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>217) IF ALIVE: How old was (NAME) at his/her last birthday?

RECORD AGE IN COMPLETED YEARS.

AGE IN YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDCURAGE_14" name="W_KIDCURAGE_14" files="W" intrvl="discrete">
  <labl>Current age of child in years (fourteenth-to-last-born child)</labl>
  <imputation>Current age of child in years (fourteenth-to-last-born child)</imputation>
  <security>Current age of child in years (fourteenth-to-last-born child)</security>
  <embargo>Current age of child in years (fourteenth-to-last-born child)</embargo>
  <respUnit>Current age of child in years (fourteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>217) IF ALIVE: How old was (NAME) at his/her last birthday?

RECORD AGE IN COMPLETED YEARS.

AGE IN YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDCURAGE_15" name="W_KIDCURAGE_15" files="W" intrvl="discrete">
  <labl>Current age of child in years (fifteenth-to-last-born child)</labl>
  <imputation>Current age of child in years (fifteenth-to-last-born child)</imputation>
  <security>Current age of child in years (fifteenth-to-last-born child)</security>
  <embargo>Current age of child in years (fifteenth-to-last-born child)</embargo>
  <respUnit>Current age of child in years (fifteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>217) IF ALIVE: How old was (NAME) at his/her last birthday?

RECORD AGE IN COMPLETED YEARS.

AGE IN YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDCURAGE_16" name="W_KIDCURAGE_16" files="W" intrvl="discrete">
  <labl>Current age of child in years (sixteenth-to-last-born child)</labl>
  <imputation>Current age of child in years (sixteenth-to-last-born child)</imputation>
  <security>Current age of child in years (sixteenth-to-last-born child)</security>
  <embargo>Current age of child in years (sixteenth-to-last-born child)</embargo>
  <respUnit>Current age of child in years (sixteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>217) IF ALIVE: How old was (NAME) at his/her last birthday?

RECORD AGE IN COMPLETED YEARS.

AGE IN YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDCURAGE_17" name="W_KIDCURAGE_17" files="W" intrvl="discrete">
  <labl>Current age of child in years (seventeenth-to-last-born child)</labl>
  <imputation>Current age of child in years (seventeenth-to-last-born child)</imputation>
  <security>Current age of child in years (seventeenth-to-last-born child)</security>
  <embargo>Current age of child in years (seventeenth-to-last-born child)</embargo>
  <respUnit>Current age of child in years (seventeenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDCURAGE_18" name="W_KIDCURAGE_18" files="W" intrvl="discrete">
  <labl>Current age of child in years (eighteenth-to-last-born child)</labl>
  <imputation>Current age of child in years (eighteenth-to-last-born child)</imputation>
  <security>Current age of child in years (eighteenth-to-last-born child)</security>
  <embargo>Current age of child in years (eighteenth-to-last-born child)</embargo>
  <respUnit>Current age of child in years (eighteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDCURAGE_19" name="W_KIDCURAGE_19" files="W" intrvl="discrete">
  <labl>Current age of child in years (nineteenth-to-last-born child)</labl>
  <imputation>Current age of child in years (nineteenth-to-last-born child)</imputation>
  <security>Current age of child in years (nineteenth-to-last-born child)</security>
  <embargo>Current age of child in years (nineteenth-to-last-born child)</embargo>
  <respUnit>Current age of child in years (nineteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDCURAGE_20" name="W_KIDCURAGE_20" files="W" intrvl="discrete">
  <labl>Current age of child in years (twentieth-to-last-born child)</labl>
  <imputation>Current age of child in years (twentieth-to-last-born child)</imputation>
  <security>Current age of child in years (twentieth-to-last-born child)</security>
  <embargo>Current age of child in years (twentieth-to-last-born child)</embargo>
  <respUnit>Current age of child in years (twentieth-to-last-born child)</respUnit>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDLIVESWITH_ALL" name="W_KIDLIVESWITH_ALL" files="W" intrvl="discrete">
  <labl>Child lives with female respondent or others</labl>
  <imputation>Child lives with female respondent or others</imputation>
  <security>Child lives with female respondent or others</security>
  <embargo>Child lives with female respondent or others</embargo>
  <respUnit>Child lives with female respondent or others</respUnit>
  <qstn>
    <qstnLit>218) IF ALIVE: Is (NAME) living with you?

YES 1 (GO TO NEXT BIRTH)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>KIDLIVESWITH_ALL available</labl>
  </catgry>
  <txt>KIDLIVESWITH_ALL (B9_x) reports the person with whom the child usually lives (i.e., the child's mother or someone else).

KIDLIVESWITH_ALL consists of a set of twenty separate variables, covering the most recent birth (KIDLIVESWITH_01) up to the twentieth-most-recent birth (KIDLIVESWITH_20) for a female respondent of childbearing age.  If KIDLIVESWITH_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

Information for this variable was collected on all births for a woman, up to a maximum of twenty births. In many cases, data were hypothetically collected on up to twenty births, but no women in the survey had so many births (e.g., no woman had 19 or 20 births). If, for example, no woman in a survey had 20 births and only blank values were included in the original DHS file, then KIDLIVESWITH_20 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDLIVESWITH_01" name="W_KIDLIVESWITH_01" files="W" intrvl="discrete">
  <labl>Child lives with female respondent or others (last-born child)</labl>
  <imputation>Child lives with female respondent or others (last-born child)</imputation>
  <security>Child lives with female respondent or others (last-born child)</security>
  <embargo>Child lives with female respondent or others (last-born child)</embargo>
  <respUnit>Child lives with female respondent or others (last-born child)</respUnit>
  <qstn>
    <qstnLit>218) IF ALIVE: Is (NAME) living with you?

YES 1 (GO TO NEXT BIRTH)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Woman respondent</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>With father</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>With other relative</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>With someone else</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Child age 15+, lives elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDLIVESWITH_02" name="W_KIDLIVESWITH_02" files="W" intrvl="discrete">
  <labl>Child lives with female respondent or others (second-to-last-born child)</labl>
  <imputation>Child lives with female respondent or others (second-to-last-born child)</imputation>
  <security>Child lives with female respondent or others (second-to-last-born child)</security>
  <embargo>Child lives with female respondent or others (second-to-last-born child)</embargo>
  <respUnit>Child lives with female respondent or others (second-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>218) IF ALIVE: Is (NAME) living with you?

YES 1 (GO TO NEXT BIRTH)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Woman respondent</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>With father</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>With other relative</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>With someone else</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Child age 15+, lives elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDLIVESWITH_03" name="W_KIDLIVESWITH_03" files="W" intrvl="discrete">
  <labl>Child lives with female respondent or others (third-to-last-born child)</labl>
  <imputation>Child lives with female respondent or others (third-to-last-born child)</imputation>
  <security>Child lives with female respondent or others (third-to-last-born child)</security>
  <embargo>Child lives with female respondent or others (third-to-last-born child)</embargo>
  <respUnit>Child lives with female respondent or others (third-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>218) IF ALIVE: Is (NAME) living with you?

YES 1 (GO TO NEXT BIRTH)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Woman respondent</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>With father</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>With other relative</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>With someone else</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Child age 15+, lives elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDLIVESWITH_04" name="W_KIDLIVESWITH_04" files="W" intrvl="discrete">
  <labl>Child lives with female respondent or others (fourth-to-last-born child)</labl>
  <imputation>Child lives with female respondent or others (fourth-to-last-born child)</imputation>
  <security>Child lives with female respondent or others (fourth-to-last-born child)</security>
  <embargo>Child lives with female respondent or others (fourth-to-last-born child)</embargo>
  <respUnit>Child lives with female respondent or others (fourth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>218) IF ALIVE: Is (NAME) living with you?

YES 1 (GO TO NEXT BIRTH)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Woman respondent</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>With father</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>With other relative</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>With someone else</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Child age 15+, lives elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDLIVESWITH_05" name="W_KIDLIVESWITH_05" files="W" intrvl="discrete">
  <labl>Child lives with female respondent or others (fifth-to-last-born child)</labl>
  <imputation>Child lives with female respondent or others (fifth-to-last-born child)</imputation>
  <security>Child lives with female respondent or others (fifth-to-last-born child)</security>
  <embargo>Child lives with female respondent or others (fifth-to-last-born child)</embargo>
  <respUnit>Child lives with female respondent or others (fifth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>218) IF ALIVE: Is (NAME) living with you?

YES 1 (GO TO NEXT BIRTH)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Woman respondent</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>With father</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>With other relative</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>With someone else</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Child age 15+, lives elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDLIVESWITH_06" name="W_KIDLIVESWITH_06" files="W" intrvl="discrete">
  <labl>Child lives with female respondent or others (sixth-to-last-born child)</labl>
  <imputation>Child lives with female respondent or others (sixth-to-last-born child)</imputation>
  <security>Child lives with female respondent or others (sixth-to-last-born child)</security>
  <embargo>Child lives with female respondent or others (sixth-to-last-born child)</embargo>
  <respUnit>Child lives with female respondent or others (sixth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>218) IF ALIVE: Is (NAME) living with you?

YES 1 (GO TO NEXT BIRTH)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Woman respondent</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>With father</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>With other relative</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>With someone else</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Child age 15+, lives elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDLIVESWITH_07" name="W_KIDLIVESWITH_07" files="W" intrvl="discrete">
  <labl>Child lives with female respondent or others (seventh-to-last-born child)</labl>
  <imputation>Child lives with female respondent or others (seventh-to-last-born child)</imputation>
  <security>Child lives with female respondent or others (seventh-to-last-born child)</security>
  <embargo>Child lives with female respondent or others (seventh-to-last-born child)</embargo>
  <respUnit>Child lives with female respondent or others (seventh-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>218) IF ALIVE: Is (NAME) living with you?

YES 1 (GO TO NEXT BIRTH)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Woman respondent</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>With father</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>With other relative</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>With someone else</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Child age 15+, lives elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDLIVESWITH_08" name="W_KIDLIVESWITH_08" files="W" intrvl="discrete">
  <labl>Child lives with female respondent or others (eighth-to-last-born child)</labl>
  <imputation>Child lives with female respondent or others (eighth-to-last-born child)</imputation>
  <security>Child lives with female respondent or others (eighth-to-last-born child)</security>
  <embargo>Child lives with female respondent or others (eighth-to-last-born child)</embargo>
  <respUnit>Child lives with female respondent or others (eighth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>218) IF ALIVE: Is (NAME) living with you?

YES 1 (GO TO NEXT BIRTH)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Woman respondent</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>With father</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>With other relative</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>With someone else</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Child age 15+, lives elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDLIVESWITH_09" name="W_KIDLIVESWITH_09" files="W" intrvl="discrete">
  <labl>Child lives with female respondent or others (ninth-to-last-born child)</labl>
  <imputation>Child lives with female respondent or others (ninth-to-last-born child)</imputation>
  <security>Child lives with female respondent or others (ninth-to-last-born child)</security>
  <embargo>Child lives with female respondent or others (ninth-to-last-born child)</embargo>
  <respUnit>Child lives with female respondent or others (ninth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>218) IF ALIVE: Is (NAME) living with you?

YES 1 (GO TO NEXT BIRTH)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Woman respondent</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>With father</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>With other relative</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>With someone else</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Child age 15+, lives elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDLIVESWITH_10" name="W_KIDLIVESWITH_10" files="W" intrvl="discrete">
  <labl>Child lives with female respondent or others (tenth-to-last-born child)</labl>
  <imputation>Child lives with female respondent or others (tenth-to-last-born child)</imputation>
  <security>Child lives with female respondent or others (tenth-to-last-born child)</security>
  <embargo>Child lives with female respondent or others (tenth-to-last-born child)</embargo>
  <respUnit>Child lives with female respondent or others (tenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>218) IF ALIVE: Is (NAME) living with you?

YES 1 (GO TO NEXT BIRTH)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Woman respondent</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>With father</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>With other relative</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>With someone else</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Child age 15+, lives elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDLIVESWITH_11" name="W_KIDLIVESWITH_11" files="W" intrvl="discrete">
  <labl>Child lives with female respondent or others (eleventh-to-last-born child)</labl>
  <imputation>Child lives with female respondent or others (eleventh-to-last-born child)</imputation>
  <security>Child lives with female respondent or others (eleventh-to-last-born child)</security>
  <embargo>Child lives with female respondent or others (eleventh-to-last-born child)</embargo>
  <respUnit>Child lives with female respondent or others (eleventh-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>218) IF ALIVE: Is (NAME) living with you?

YES 1 (GO TO NEXT BIRTH)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Woman respondent</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>With father</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>With other relative</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>With someone else</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Child age 15+, lives elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDLIVESWITH_12" name="W_KIDLIVESWITH_12" files="W" intrvl="discrete">
  <labl>Child lives with female respondent or others (twelfth-to-last-born child)</labl>
  <imputation>Child lives with female respondent or others (twelfth-to-last-born child)</imputation>
  <security>Child lives with female respondent or others (twelfth-to-last-born child)</security>
  <embargo>Child lives with female respondent or others (twelfth-to-last-born child)</embargo>
  <respUnit>Child lives with female respondent or others (twelfth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>218) IF ALIVE: Is (NAME) living with you?

YES 1 (GO TO NEXT BIRTH)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Woman respondent</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>With father</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>With other relative</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>With someone else</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Child age 15+, lives elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDLIVESWITH_13" name="W_KIDLIVESWITH_13" files="W" intrvl="discrete">
  <labl>Child lives with female respondent or others (thirteenth-to-last-born child)</labl>
  <imputation>Child lives with female respondent or others (thirteenth-to-last-born child)</imputation>
  <security>Child lives with female respondent or others (thirteenth-to-last-born child)</security>
  <embargo>Child lives with female respondent or others (thirteenth-to-last-born child)</embargo>
  <respUnit>Child lives with female respondent or others (thirteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>218) IF ALIVE: Is (NAME) living with you?

YES 1 (GO TO NEXT BIRTH)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Woman respondent</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>With father</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>With other relative</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>With someone else</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Child age 15+, lives elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDLIVESWITH_14" name="W_KIDLIVESWITH_14" files="W" intrvl="discrete">
  <labl>Child lives with female respondent or others (fourteenth-to-last-born child)</labl>
  <imputation>Child lives with female respondent or others (fourteenth-to-last-born child)</imputation>
  <security>Child lives with female respondent or others (fourteenth-to-last-born child)</security>
  <embargo>Child lives with female respondent or others (fourteenth-to-last-born child)</embargo>
  <respUnit>Child lives with female respondent or others (fourteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>218) IF ALIVE: Is (NAME) living with you?

YES 1 (GO TO NEXT BIRTH)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Woman respondent</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>With father</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>With other relative</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>With someone else</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Child age 15+, lives elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDLIVESWITH_15" name="W_KIDLIVESWITH_15" files="W" intrvl="discrete">
  <labl>Child lives with female respondent or others (fifteenth-to-last-born child)</labl>
  <imputation>Child lives with female respondent or others (fifteenth-to-last-born child)</imputation>
  <security>Child lives with female respondent or others (fifteenth-to-last-born child)</security>
  <embargo>Child lives with female respondent or others (fifteenth-to-last-born child)</embargo>
  <respUnit>Child lives with female respondent or others (fifteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>218) IF ALIVE: Is (NAME) living with you?

YES 1 (GO TO NEXT BIRTH)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Woman respondent</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>With father</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>With other relative</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>With someone else</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Child age 15+, lives elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDLIVESWITH_16" name="W_KIDLIVESWITH_16" files="W" intrvl="discrete">
  <labl>Child lives with female respondent or others (sixteenth-to-last-born child)</labl>
  <imputation>Child lives with female respondent or others (sixteenth-to-last-born child)</imputation>
  <security>Child lives with female respondent or others (sixteenth-to-last-born child)</security>
  <embargo>Child lives with female respondent or others (sixteenth-to-last-born child)</embargo>
  <respUnit>Child lives with female respondent or others (sixteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>218) IF ALIVE: Is (NAME) living with you?

YES 1 (GO TO NEXT BIRTH)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Woman respondent</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>With father</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>With other relative</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>With someone else</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Child age 15+, lives elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDLIVESWITH_17" name="W_KIDLIVESWITH_17" files="W" intrvl="discrete">
  <labl>Child lives with female respondent or others (seventeenth-to-last-born child)</labl>
  <imputation>Child lives with female respondent or others (seventeenth-to-last-born child)</imputation>
  <security>Child lives with female respondent or others (seventeenth-to-last-born child)</security>
  <embargo>Child lives with female respondent or others (seventeenth-to-last-born child)</embargo>
  <respUnit>Child lives with female respondent or others (seventeenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>10</catValu>
    <labl>Woman respondent</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>With father</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>With other relative</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>With someone else</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Child age 15+, lives elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDLIVESWITH_18" name="W_KIDLIVESWITH_18" files="W" intrvl="discrete">
  <labl>Child lives with female respondent or others (eighteenth-to-last-born child)</labl>
  <imputation>Child lives with female respondent or others (eighteenth-to-last-born child)</imputation>
  <security>Child lives with female respondent or others (eighteenth-to-last-born child)</security>
  <embargo>Child lives with female respondent or others (eighteenth-to-last-born child)</embargo>
  <respUnit>Child lives with female respondent or others (eighteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>10</catValu>
    <labl>Woman respondent</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>With father</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>With other relative</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>With someone else</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Child age 15+, lives elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDLIVESWITH_19" name="W_KIDLIVESWITH_19" files="W" intrvl="discrete">
  <labl>Child lives with female respondent or others (nineteenth-to-last-born child)</labl>
  <imputation>Child lives with female respondent or others (nineteenth-to-last-born child)</imputation>
  <security>Child lives with female respondent or others (nineteenth-to-last-born child)</security>
  <embargo>Child lives with female respondent or others (nineteenth-to-last-born child)</embargo>
  <respUnit>Child lives with female respondent or others (nineteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>10</catValu>
    <labl>Woman respondent</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>With father</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>With other relative</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>With someone else</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Child age 15+, lives elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDLIVESWITH_20" name="W_KIDLIVESWITH_20" files="W" intrvl="discrete">
  <labl>Child lives with female respondent or others (twentieth-to-last-born child)</labl>
  <imputation>Child lives with female respondent or others (twentieth-to-last-born child)</imputation>
  <security>Child lives with female respondent or others (twentieth-to-last-born child)</security>
  <embargo>Child lives with female respondent or others (twentieth-to-last-born child)</embargo>
  <respUnit>Child lives with female respondent or others (twentieth-to-last-born child)</respUnit>
  <catgry>
    <catValu>10</catValu>
    <labl>Woman respondent</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>With father</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>With other relative</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>With someone else</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Child age 15+, lives elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEINFO_ALL" name="W_KIDAGEINFO_ALL" files="W" intrvl="discrete">
  <labl>Completeness of information about child's age and date of birth</labl>
  <imputation>Completeness of information about child's age and date of birth</imputation>
  <security>Completeness of information about child's age and date of birth</security>
  <embargo>Completeness of information about child's age and date of birth</embargo>
  <respUnit>Completeness of information about child's age and date of birth</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>KIDAGEINFO_ALL available</labl>
  </catgry>
  <txt>KIDAGEINFO_ALL (B10_x) reports the completeness of information about the child's age and date of birth.

KIDAGEINFO_ALL consists of a set of twenty separate variables, covering the most recent birth (KIDAGEINFO_01) up to the twentieth-most-recent birth (KIDAGEINFO_20) for a female respondent of childbearing age.  If KIDAGEINFO_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

Information for this variable was collected on all births for a woman, up to a maximum of twenty births. In many cases, data were hypothetically collected on up to twenty births, but no women in the survey had so many births (e.g., no woman had 19 or 20 births). If, for example, no woman in a survey had 20 births and only blank values were included in the original DHS file, then KIDAGEINFO_20 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEINFO_01" name="W_KIDAGEINFO_01" files="W" intrvl="discrete">
  <labl>Completeness of information about child's age and date of birth (last-born child)</labl>
  <imputation>Completeness of information about child's age and date of birth (last-born child)</imputation>
  <security>Completeness of information about child's age and date of birth (last-born child)</security>
  <embargo>Completeness of information about child's age and date of birth (last-born child)</embargo>
  <respUnit>Completeness of information about child's age and date of birth (last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Month, year, and day complete</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Month and year complete</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Year and season</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Year, season, and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Year and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Year and age - year ignored</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Month and age - year imputed</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Year - age calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Year - age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Age - year calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Age - year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Month - age, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>None - all imputed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEINFO_02" name="W_KIDAGEINFO_02" files="W" intrvl="discrete">
  <labl>Completeness of information about child's age and date of birth (second-to-last-born child)</labl>
  <imputation>Completeness of information about child's age and date of birth (second-to-last-born child)</imputation>
  <security>Completeness of information about child's age and date of birth (second-to-last-born child)</security>
  <embargo>Completeness of information about child's age and date of birth (second-to-last-born child)</embargo>
  <respUnit>Completeness of information about child's age and date of birth (second-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Month, year, and day complete</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Month and year complete</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Year and season</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Year, season, and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Year and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Year and age - year ignored</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Month and age - year imputed</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Year - age calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Year - age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Age - year calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Age - year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Month - age, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>None - all imputed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEINFO_03" name="W_KIDAGEINFO_03" files="W" intrvl="discrete">
  <labl>Completeness of information about child's age and date of birth (third-to-last-born child)</labl>
  <imputation>Completeness of information about child's age and date of birth (third-to-last-born child)</imputation>
  <security>Completeness of information about child's age and date of birth (third-to-last-born child)</security>
  <embargo>Completeness of information about child's age and date of birth (third-to-last-born child)</embargo>
  <respUnit>Completeness of information about child's age and date of birth (third-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Month, year, and day complete</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Month and year complete</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Year and season</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Year, season, and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Year and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Year and age - year ignored</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Month and age - year imputed</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Year - age calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Year - age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Age - year calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Age - year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Month - age, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>None - all inputed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEINFO_04" name="W_KIDAGEINFO_04" files="W" intrvl="discrete">
  <labl>Completeness of information about child's age and date of birth (fourth-to-last-born child)</labl>
  <imputation>Completeness of information about child's age and date of birth (fourth-to-last-born child)</imputation>
  <security>Completeness of information about child's age and date of birth (fourth-to-last-born child)</security>
  <embargo>Completeness of information about child's age and date of birth (fourth-to-last-born child)</embargo>
  <respUnit>Completeness of information about child's age and date of birth (fourth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Month, year, and day complete</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Month and year complete</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Year and season</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Year, season, and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Year and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Year and age - year ignored</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Month and age - year imputed</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Year - age calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Year - age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Age - year calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Age - year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Month - age, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>None - all imputed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEINFO_05" name="W_KIDAGEINFO_05" files="W" intrvl="discrete">
  <labl>Completeness of information about child's age and date of birth (fifth-to-last-born child)</labl>
  <imputation>Completeness of information about child's age and date of birth (fifth-to-last-born child)</imputation>
  <security>Completeness of information about child's age and date of birth (fifth-to-last-born child)</security>
  <embargo>Completeness of information about child's age and date of birth (fifth-to-last-born child)</embargo>
  <respUnit>Completeness of information about child's age and date of birth (fifth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Month, year, and day complete</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Month and year complete</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Year and season</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Year, season, and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Year and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Year and age - year ignored</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Month and age - year imputed</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Year - age calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Year - age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Age - year calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Age - year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Month - age, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>None - all imputed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEINFO_06" name="W_KIDAGEINFO_06" files="W" intrvl="discrete">
  <labl>Completeness of information about child's age and date of birth (sixth-to-last-born child)</labl>
  <imputation>Completeness of information about child's age and date of birth (sixth-to-last-born child)</imputation>
  <security>Completeness of information about child's age and date of birth (sixth-to-last-born child)</security>
  <embargo>Completeness of information about child's age and date of birth (sixth-to-last-born child)</embargo>
  <respUnit>Completeness of information about child's age and date of birth (sixth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Month, year, and day complete</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Month and year complete</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Year and season</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Year, season, and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Year and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Year and age - year ignored</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Month and age - year imputed</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Year - age calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Year - age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Age - year calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Age - year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Month - age, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>None - all imputed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEINFO_07" name="W_KIDAGEINFO_07" files="W" intrvl="discrete">
  <labl>Completeness of information about child's age and date of birth (seventh-to-last-born child)</labl>
  <imputation>Completeness of information about child's age and date of birth (seventh-to-last-born child)</imputation>
  <security>Completeness of information about child's age and date of birth (seventh-to-last-born child)</security>
  <embargo>Completeness of information about child's age and date of birth (seventh-to-last-born child)</embargo>
  <respUnit>Completeness of information about child's age and date of birth (seventh-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Month, year, and day complete</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Month and year complete</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Year and season</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Year, season, and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Year and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Year and age - year ignored</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Month and age - year imputed</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Year - age calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Year - age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Age - year calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Age - year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Month - age, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>None - all imputed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEINFO_08" name="W_KIDAGEINFO_08" files="W" intrvl="discrete">
  <labl>Completeness of information about child's age and date of birth (eighth-to-last-born child)</labl>
  <imputation>Completeness of information about child's age and date of birth (eighth-to-last-born child)</imputation>
  <security>Completeness of information about child's age and date of birth (eighth-to-last-born child)</security>
  <embargo>Completeness of information about child's age and date of birth (eighth-to-last-born child)</embargo>
  <respUnit>Completeness of information about child's age and date of birth (eighth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Month, year, and day complete</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Month and year complete</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Year and season</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Year, season, and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Year and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Year and age - year ignored</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Month and age - year imputed</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Year - age calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Year - age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Age - year calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Age - year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Month - age, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>None - all imputed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEINFO_09" name="W_KIDAGEINFO_09" files="W" intrvl="discrete">
  <labl>Completeness of information about child's age and date of birth (ninth-to-last-born child)</labl>
  <imputation>Completeness of information about child's age and date of birth (ninth-to-last-born child)</imputation>
  <security>Completeness of information about child's age and date of birth (ninth-to-last-born child)</security>
  <embargo>Completeness of information about child's age and date of birth (ninth-to-last-born child)</embargo>
  <respUnit>Completeness of information about child's age and date of birth (ninth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Month, year, and day complete</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Month and year complete</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Year and season</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Year, season, and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Year and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Year and age - year ignored</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Month and age - year imputed</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Year - age calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Year - age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Age - year calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Age - year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Month - age, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>None - all imputed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEINFO_10" name="W_KIDAGEINFO_10" files="W" intrvl="discrete">
  <labl>Completeness of information about child's age and date of birth (tenth-to-last-born child)</labl>
  <imputation>Completeness of information about child's age and date of birth (tenth-to-last-born child)</imputation>
  <security>Completeness of information about child's age and date of birth (tenth-to-last-born child)</security>
  <embargo>Completeness of information about child's age and date of birth (tenth-to-last-born child)</embargo>
  <respUnit>Completeness of information about child's age and date of birth (tenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Month, year, and day complete</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Month and year complete</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Year and season</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Year, season, and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Year and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Year and age - year ignored</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Month and age - year imputed</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Year - age calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Year - age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Age - year calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Age - year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Month - age, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>None - all imputed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEINFO_11" name="W_KIDAGEINFO_11" files="W" intrvl="discrete">
  <labl>Completeness of information about child's age and date of birth (eleventh-to-last-born child)</labl>
  <imputation>Completeness of information about child's age and date of birth (eleventh-to-last-born child)</imputation>
  <security>Completeness of information about child's age and date of birth (eleventh-to-last-born child)</security>
  <embargo>Completeness of information about child's age and date of birth (eleventh-to-last-born child)</embargo>
  <respUnit>Completeness of information about child's age and date of birth (eleventh-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Month, year, and day complete</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Month and year complete</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Year and season</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Year, season, and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Year and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Year and age - year ignored</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Month and age - year imputed</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Year - age calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Year - age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Age - year calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Age - year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Month - age, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>None - all imputed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEINFO_12" name="W_KIDAGEINFO_12" files="W" intrvl="discrete">
  <labl>Completeness of information about child's age and date of birth (twelfth-to-last-born child)</labl>
  <imputation>Completeness of information about child's age and date of birth (twelfth-to-last-born child)</imputation>
  <security>Completeness of information about child's age and date of birth (twelfth-to-last-born child)</security>
  <embargo>Completeness of information about child's age and date of birth (twelfth-to-last-born child)</embargo>
  <respUnit>Completeness of information about child's age and date of birth (twelfth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Month, year, and day complete</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Month and year complete</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Year and season</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Year, season, and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Year and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Year and age - year ignored</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Month and age - year imputed</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Year - age calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Year - age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Age - year calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Age - year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Month - age, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>None - all imputed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEINFO_13" name="W_KIDAGEINFO_13" files="W" intrvl="discrete">
  <labl>Completeness of information about child's age and date of birth (thirteenth-to-last-born child)</labl>
  <imputation>Completeness of information about child's age and date of birth (thirteenth-to-last-born child)</imputation>
  <security>Completeness of information about child's age and date of birth (thirteenth-to-last-born child)</security>
  <embargo>Completeness of information about child's age and date of birth (thirteenth-to-last-born child)</embargo>
  <respUnit>Completeness of information about child's age and date of birth (thirteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Month, year, and day complete</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Month and year complete</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Year and season</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Year, season, and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Year and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Year and age - year ignored</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Month and age - year imputed</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Year - age calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Year - age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Age - year calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Age - year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Month - age, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>None - all imputed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEINFO_14" name="W_KIDAGEINFO_14" files="W" intrvl="discrete">
  <labl>Completeness of information about child's age and date of birth (fourteenth-to-last-born child)</labl>
  <imputation>Completeness of information about child's age and date of birth (fourteenth-to-last-born child)</imputation>
  <security>Completeness of information about child's age and date of birth (fourteenth-to-last-born child)</security>
  <embargo>Completeness of information about child's age and date of birth (fourteenth-to-last-born child)</embargo>
  <respUnit>Completeness of information about child's age and date of birth (fourteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Month, year, and day complete</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Month and year complete</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Year and season</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Year, season, and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Year and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Year and age - year ignored</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Month and age - year imputed</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Year - age calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Year - age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Age - year calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Age - year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Month - age, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>None - all imputed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEINFO_15" name="W_KIDAGEINFO_15" files="W" intrvl="discrete">
  <labl>Completeness of information about child's age and date of birth (fifteenth-to-last-born child)</labl>
  <imputation>Completeness of information about child's age and date of birth (fifteenth-to-last-born child)</imputation>
  <security>Completeness of information about child's age and date of birth (fifteenth-to-last-born child)</security>
  <embargo>Completeness of information about child's age and date of birth (fifteenth-to-last-born child)</embargo>
  <respUnit>Completeness of information about child's age and date of birth (fifteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Month, year, and day complete</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Month and year complete</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Year and season</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Year, season, and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Year and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Year and age - year ignored</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Month and age - year imputed</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Year - age calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Year- age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Age - year calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Age - year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Month - age, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>None - all imputed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEINFO_16" name="W_KIDAGEINFO_16" files="W" intrvl="discrete">
  <labl>Completeness of information about child's age and date of birth (sixteenth-to-last-born child)</labl>
  <imputation>Completeness of information about child's age and date of birth (sixteenth-to-last-born child)</imputation>
  <security>Completeness of information about child's age and date of birth (sixteenth-to-last-born child)</security>
  <embargo>Completeness of information about child's age and date of birth (sixteenth-to-last-born child)</embargo>
  <respUnit>Completeness of information about child's age and date of birth (sixteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Month, year, and day complete</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Month and year complete</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Year and season</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Year, season, and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Year and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Year and age - year ignored</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Month and age - year imputed</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Year - age calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Year - age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Age - year calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Age - year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Month - age, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>None - all imputed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEINFO_17" name="W_KIDAGEINFO_17" files="W" intrvl="discrete">
  <labl>Completeness of information about child's age and date of birth (seventeenth-to-last-born child)</labl>
  <imputation>Completeness of information about child's age and date of birth (seventeenth-to-last-born child)</imputation>
  <security>Completeness of information about child's age and date of birth (seventeenth-to-last-born child)</security>
  <embargo>Completeness of information about child's age and date of birth (seventeenth-to-last-born child)</embargo>
  <respUnit>Completeness of information about child's age and date of birth (seventeenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>Month, year, and day complete</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Month and year complete</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Year and season</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Year, season, and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Year and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Year and age - year ignored</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Month and age - year imputed</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Year - age calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Year - age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Age - year calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Age - year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Month - age, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>None - all imputed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEINFO_18" name="W_KIDAGEINFO_18" files="W" intrvl="discrete">
  <labl>Completeness of information about child's age and date of birth (eighteenth-to-last-born child)</labl>
  <imputation>Completeness of information about child's age and date of birth (eighteenth-to-last-born child)</imputation>
  <security>Completeness of information about child's age and date of birth (eighteenth-to-last-born child)</security>
  <embargo>Completeness of information about child's age and date of birth (eighteenth-to-last-born child)</embargo>
  <respUnit>Completeness of information about child's age and date of birth (eighteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>Month, year, and day complete</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Month and year complete</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Year and season</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Year, season, and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Year and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Year and age - year ignored</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Month and age - year imputed</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Year - age calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Year - age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Age - year calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Age - year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Month - age, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>None - all imputed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEINFO_19" name="W_KIDAGEINFO_19" files="W" intrvl="discrete">
  <labl>Completeness of information about child's age and date of birth (nineteenth-to-last-born child)</labl>
  <imputation>Completeness of information about child's age and date of birth (nineteenth-to-last-born child)</imputation>
  <security>Completeness of information about child's age and date of birth (nineteenth-to-last-born child)</security>
  <embargo>Completeness of information about child's age and date of birth (nineteenth-to-last-born child)</embargo>
  <respUnit>Completeness of information about child's age and date of birth (nineteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>Month, year, and day complete</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Month and year complete</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Year and season</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Year, season, and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Year and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Year and age - year ignored</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Month and age - year imputed</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Year - age calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Year - age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Age - year calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Age - year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Month - age, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>None - all imputed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_KIDAGEINFO_20" name="W_KIDAGEINFO_20" files="W" intrvl="discrete">
  <labl>Completeness of information about child's age and date of birth (twentieth-to-last-born child)</labl>
  <imputation>Completeness of information about child's age and date of birth (twentieth-to-last-born child)</imputation>
  <security>Completeness of information about child's age and date of birth (twentieth-to-last-born child)</security>
  <embargo>Completeness of information about child's age and date of birth (twentieth-to-last-born child)</embargo>
  <respUnit>Completeness of information about child's age and date of birth (twentieth-to-last-born child)</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>Month, year, and day complete</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Month and year complete</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Year and season</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Year, season, and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Year and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Year and age - year ignored</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Month and age - year imputed</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Year - age calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Year - age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Age - year calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Age - year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Month - age, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>None - all imputed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPREMO_ALL" name="W_BIRTHINTPREMO_ALL" files="W" intrvl="discrete">
  <labl>Length of preceeding birth interval, in months</labl>
  <imputation>Length of preceeding birth interval, in months</imputation>
  <security>Length of preceeding birth interval, in months</security>
  <embargo>Length of preceeding birth interval, in months</embargo>
  <respUnit>Length of preceeding birth interval, in months</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>BIRTHINTPREMO_ALL available</labl>
  </catgry>
  <txt>BIRTHINTPREMO_ALL (B11_x) reports the preceding birth interval, or the length of time in months until the child was born, after the mother's previous birth (i.e., after the child's next oldest sibling).

Because BIRTHINTPREMO_ALL relates to the child's older sibling, first-born children and twins of first-born children are not included in this variable set.

BIRTHINTPREMO_ALL consists of a set of twenty separate variables, covering the most recent birth (BIRTHINTPREMO_01) up to the twentieth-most-recent birth (BIRTHINTPREMO_20) for a female respondent of childbearing age. If BIRTHINTPREMO_ALL is included in a data extract, all these separate variables are included in a researcher's data file.

Information for this variable was collected on all births for a woman, up to a maximum of twenty. In many cases, data were hypothetically collected on up to twenty births, but no women in the survey had so many births (e.g., no woman had 19 or 20 births). If, for example, no woman in a survey had 20 births and only blank values were included in the original DHS file, then BIRTHINTPREMO_20 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPREMO_01" name="W_BIRTHINTPREMO_01" files="W" intrvl="discrete">
  <labl>Length of preceeding birth interval, in months (last-born child)</labl>
  <imputation>Length of preceeding birth interval, in months (last-born child)</imputation>
  <security>Length of preceeding birth interval, in months (last-born child)</security>
  <embargo>Length of preceeding birth interval, in months (last-born child)</embargo>
  <respUnit>Length of preceeding birth interval, in months (last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPREMO_02" name="W_BIRTHINTPREMO_02" files="W" intrvl="discrete">
  <labl>Length of preceeding birth interval, in months (second-to-last-born child)</labl>
  <imputation>Length of preceeding birth interval, in months (second-to-last-born child)</imputation>
  <security>Length of preceeding birth interval, in months (second-to-last-born child)</security>
  <embargo>Length of preceeding birth interval, in months (second-to-last-born child)</embargo>
  <respUnit>Length of preceeding birth interval, in months (second-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPREMO_03" name="W_BIRTHINTPREMO_03" files="W" intrvl="discrete">
  <labl>Length of preceeding birth interval, in months (third-to-last-born child)</labl>
  <imputation>Length of preceeding birth interval, in months (third-to-last-born child)</imputation>
  <security>Length of preceeding birth interval, in months (third-to-last-born child)</security>
  <embargo>Length of preceeding birth interval, in months (third-to-last-born child)</embargo>
  <respUnit>Length of preceeding birth interval, in months (third-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPREMO_04" name="W_BIRTHINTPREMO_04" files="W" intrvl="discrete">
  <labl>Length of preceeding birth interval, in months (fourth-to-last-born child)</labl>
  <imputation>Length of preceeding birth interval, in months (fourth-to-last-born child)</imputation>
  <security>Length of preceeding birth interval, in months (fourth-to-last-born child)</security>
  <embargo>Length of preceeding birth interval, in months (fourth-to-last-born child)</embargo>
  <respUnit>Length of preceeding birth interval, in months (fourth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPREMO_05" name="W_BIRTHINTPREMO_05" files="W" intrvl="discrete">
  <labl>Length of preceeding birth interval, in months (fifth-to-last-born child)</labl>
  <imputation>Length of preceeding birth interval, in months (fifth-to-last-born child)</imputation>
  <security>Length of preceeding birth interval, in months (fifth-to-last-born child)</security>
  <embargo>Length of preceeding birth interval, in months (fifth-to-last-born child)</embargo>
  <respUnit>Length of preceeding birth interval, in months (fifth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPREMO_06" name="W_BIRTHINTPREMO_06" files="W" intrvl="discrete">
  <labl>Length of preceeding birth interval, in months (sixth-to-last-born child)</labl>
  <imputation>Length of preceeding birth interval, in months (sixth-to-last-born child)</imputation>
  <security>Length of preceeding birth interval, in months (sixth-to-last-born child)</security>
  <embargo>Length of preceeding birth interval, in months (sixth-to-last-born child)</embargo>
  <respUnit>Length of preceeding birth interval, in months (sixth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPREMO_07" name="W_BIRTHINTPREMO_07" files="W" intrvl="discrete">
  <labl>Length of preceeding birth interval, in months (seventh-to-last-born child)</labl>
  <imputation>Length of preceeding birth interval, in months (seventh-to-last-born child)</imputation>
  <security>Length of preceeding birth interval, in months (seventh-to-last-born child)</security>
  <embargo>Length of preceeding birth interval, in months (seventh-to-last-born child)</embargo>
  <respUnit>Length of preceeding birth interval, in months (seventh-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPREMO_08" name="W_BIRTHINTPREMO_08" files="W" intrvl="discrete">
  <labl>Length of preceeding birth interval, in months (eighth-to-last-born child)</labl>
  <imputation>Length of preceeding birth interval, in months (eighth-to-last-born child)</imputation>
  <security>Length of preceeding birth interval, in months (eighth-to-last-born child)</security>
  <embargo>Length of preceeding birth interval, in months (eighth-to-last-born child)</embargo>
  <respUnit>Length of preceeding birth interval, in months (eighth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPREMO_09" name="W_BIRTHINTPREMO_09" files="W" intrvl="discrete">
  <labl>Length of preceeding birth interval, in months (ninth-to-last-born child)</labl>
  <imputation>Length of preceeding birth interval, in months (ninth-to-last-born child)</imputation>
  <security>Length of preceeding birth interval, in months (ninth-to-last-born child)</security>
  <embargo>Length of preceeding birth interval, in months (ninth-to-last-born child)</embargo>
  <respUnit>Length of preceeding birth interval, in months (ninth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPREMO_10" name="W_BIRTHINTPREMO_10" files="W" intrvl="discrete">
  <labl>Length of preceeding birth interval, in months (tenth-to-last-born child)</labl>
  <imputation>Length of preceeding birth interval, in months (tenth-to-last-born child)</imputation>
  <security>Length of preceeding birth interval, in months (tenth-to-last-born child)</security>
  <embargo>Length of preceeding birth interval, in months (tenth-to-last-born child)</embargo>
  <respUnit>Length of preceeding birth interval, in months (tenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPREMO_11" name="W_BIRTHINTPREMO_11" files="W" intrvl="discrete">
  <labl>Length of preceeding birth interval, in months (eleventh-to-last-born child)</labl>
  <imputation>Length of preceeding birth interval, in months (eleventh-to-last-born child)</imputation>
  <security>Length of preceeding birth interval, in months (eleventh-to-last-born child)</security>
  <embargo>Length of preceeding birth interval, in months (eleventh-to-last-born child)</embargo>
  <respUnit>Length of preceeding birth interval, in months (eleventh-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPREMO_12" name="W_BIRTHINTPREMO_12" files="W" intrvl="discrete">
  <labl>Length of preceeding birth interval, in months (twelfth-to-last-born child)</labl>
  <imputation>Length of preceeding birth interval, in months (twelfth-to-last-born child)</imputation>
  <security>Length of preceeding birth interval, in months (twelfth-to-last-born child)</security>
  <embargo>Length of preceeding birth interval, in months (twelfth-to-last-born child)</embargo>
  <respUnit>Length of preceeding birth interval, in months (twelfth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPREMO_13" name="W_BIRTHINTPREMO_13" files="W" intrvl="discrete">
  <labl>Length of preceeding birth interval, in months (thirteenth-to-last-born child)</labl>
  <imputation>Length of preceeding birth interval, in months (thirteenth-to-last-born child)</imputation>
  <security>Length of preceeding birth interval, in months (thirteenth-to-last-born child)</security>
  <embargo>Length of preceeding birth interval, in months (thirteenth-to-last-born child)</embargo>
  <respUnit>Length of preceeding birth interval, in months (thirteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPREMO_14" name="W_BIRTHINTPREMO_14" files="W" intrvl="discrete">
  <labl>Length of preceeding birth interval, in months (fourteenth-to-last-born child)</labl>
  <imputation>Length of preceeding birth interval, in months (fourteenth-to-last-born child)</imputation>
  <security>Length of preceeding birth interval, in months (fourteenth-to-last-born child)</security>
  <embargo>Length of preceeding birth interval, in months (fourteenth-to-last-born child)</embargo>
  <respUnit>Length of preceeding birth interval, in months (fourteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPREMO_15" name="W_BIRTHINTPREMO_15" files="W" intrvl="discrete">
  <labl>Length of preceeding birth interval, in months (fifteenth-to-last-born child)</labl>
  <imputation>Length of preceeding birth interval, in months (fifteenth-to-last-born child)</imputation>
  <security>Length of preceeding birth interval, in months (fifteenth-to-last-born child)</security>
  <embargo>Length of preceeding birth interval, in months (fifteenth-to-last-born child)</embargo>
  <respUnit>Length of preceeding birth interval, in months (fifteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPREMO_16" name="W_BIRTHINTPREMO_16" files="W" intrvl="discrete">
  <labl>Length of preceeding birth interval, in months (sixteenth-to-last-born child)</labl>
  <imputation>Length of preceeding birth interval, in months (sixteenth-to-last-born child)</imputation>
  <security>Length of preceeding birth interval, in months (sixteenth-to-last-born child)</security>
  <embargo>Length of preceeding birth interval, in months (sixteenth-to-last-born child)</embargo>
  <respUnit>Length of preceeding birth interval, in months (sixteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPREMO_17" name="W_BIRTHINTPREMO_17" files="W" intrvl="discrete">
  <labl>Length of preceeding birth interval, in months (seventeenth-to-last-born child)</labl>
  <imputation>Length of preceeding birth interval, in months (seventeenth-to-last-born child)</imputation>
  <security>Length of preceeding birth interval, in months (seventeenth-to-last-born child)</security>
  <embargo>Length of preceeding birth interval, in months (seventeenth-to-last-born child)</embargo>
  <respUnit>Length of preceeding birth interval, in months (seventeenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPREMO_18" name="W_BIRTHINTPREMO_18" files="W" intrvl="discrete">
  <labl>Length of preceeding birth interval, in months (eighteenth-to-last-born child)</labl>
  <imputation>Length of preceeding birth interval, in months (eighteenth-to-last-born child)</imputation>
  <security>Length of preceeding birth interval, in months (eighteenth-to-last-born child)</security>
  <embargo>Length of preceeding birth interval, in months (eighteenth-to-last-born child)</embargo>
  <respUnit>Length of preceeding birth interval, in months (eighteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPREMO_19" name="W_BIRTHINTPREMO_19" files="W" intrvl="discrete">
  <labl>Length of preceeding birth interval, in months (nineteenth-to-last-born child)</labl>
  <imputation>Length of preceeding birth interval, in months (nineteenth-to-last-born child)</imputation>
  <security>Length of preceeding birth interval, in months (nineteenth-to-last-born child)</security>
  <embargo>Length of preceeding birth interval, in months (nineteenth-to-last-born child)</embargo>
  <respUnit>Length of preceeding birth interval, in months (nineteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPOSTMO_ALL" name="W_BIRTHINTPOSTMO_ALL" files="W" intrvl="discrete">
  <labl>Length of following birth interval, in months</labl>
  <imputation>Length of following birth interval, in months</imputation>
  <security>Length of following birth interval, in months</security>
  <embargo>Length of following birth interval, in months</embargo>
  <respUnit>Length of following birth interval, in months</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>BIRTHINTPOSTMO_ALL available</labl>
  </catgry>
  <txt>BIRTHINTPOSTMO_ALL (B12_x) reports the succeeding birth interval, or the length of time in months, after the child was born, until the mother's next birth (i.e., before the child's next youngest sibling).

Because BIRTHINTPOSTMO_ALL relates to the child's younger sibling, last-born children and twins of last-born children are not included in this variable set.

BIRTHINTPOSTMO_ALL consists of a set of nineteen separate variables, covering the second-most-recent birth (BIRTHINTPOSTMO_02) up to the twentieth-most-recent birth (BIRTHINTPOSTMO_20) for a female respondent of childbearing age. If BIRTHINTPOSTMO_ALL is included in a data extract, all these separate variables are included in a researcher's data file.

Information for this variable was collected on all but the most recent birth for a woman, up to a maximum of her twentieth birth. In many cases, data were hypothetically collected on up to the twentieth births, but no women in the survey had so many births (e.g., no woman had a 19th or 20th birth). If, for example, no woman in a survey had 20 births and only blank values were included in the original DHS file, then BIRTHINTPOSTMO_20 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPOSTMO_02" name="W_BIRTHINTPOSTMO_02" files="W" intrvl="discrete">
  <labl>Length of following birth interval, in months (second-to-last-born child)</labl>
  <imputation>Length of following birth interval, in months (second-to-last-born child)</imputation>
  <security>Length of following birth interval, in months (second-to-last-born child)</security>
  <embargo>Length of following birth interval, in months (second-to-last-born child)</embargo>
  <respUnit>Length of following birth interval, in months (second-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPOSTMO_03" name="W_BIRTHINTPOSTMO_03" files="W" intrvl="discrete">
  <labl>Length of following birth interval, in months (third-to-last-born child)</labl>
  <imputation>Length of following birth interval, in months (third-to-last-born child)</imputation>
  <security>Length of following birth interval, in months (third-to-last-born child)</security>
  <embargo>Length of following birth interval, in months (third-to-last-born child)</embargo>
  <respUnit>Length of following birth interval, in months (third-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPOSTMO_04" name="W_BIRTHINTPOSTMO_04" files="W" intrvl="discrete">
  <labl>Length of following birth interval, in months (fourth-to-last-born child)</labl>
  <imputation>Length of following birth interval, in months (fourth-to-last-born child)</imputation>
  <security>Length of following birth interval, in months (fourth-to-last-born child)</security>
  <embargo>Length of following birth interval, in months (fourth-to-last-born child)</embargo>
  <respUnit>Length of following birth interval, in months (fourth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPOSTMO_05" name="W_BIRTHINTPOSTMO_05" files="W" intrvl="discrete">
  <labl>Length of following birth interval, in months (fifth-to-last-born child)</labl>
  <imputation>Length of following birth interval, in months (fifth-to-last-born child)</imputation>
  <security>Length of following birth interval, in months (fifth-to-last-born child)</security>
  <embargo>Length of following birth interval, in months (fifth-to-last-born child)</embargo>
  <respUnit>Length of following birth interval, in months (fifth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPOSTMO_06" name="W_BIRTHINTPOSTMO_06" files="W" intrvl="discrete">
  <labl>Length of following birth interval, in months (sixth-to-last-born child)</labl>
  <imputation>Length of following birth interval, in months (sixth-to-last-born child)</imputation>
  <security>Length of following birth interval, in months (sixth-to-last-born child)</security>
  <embargo>Length of following birth interval, in months (sixth-to-last-born child)</embargo>
  <respUnit>Length of following birth interval, in months (sixth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPOSTMO_07" name="W_BIRTHINTPOSTMO_07" files="W" intrvl="discrete">
  <labl>Length of following birth interval, in months (seventh-to-last-born child)</labl>
  <imputation>Length of following birth interval, in months (seventh-to-last-born child)</imputation>
  <security>Length of following birth interval, in months (seventh-to-last-born child)</security>
  <embargo>Length of following birth interval, in months (seventh-to-last-born child)</embargo>
  <respUnit>Length of following birth interval, in months (seventh-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPOSTMO_08" name="W_BIRTHINTPOSTMO_08" files="W" intrvl="discrete">
  <labl>Length of following birth interval, in months (eighth-to-last-born child)</labl>
  <imputation>Length of following birth interval, in months (eighth-to-last-born child)</imputation>
  <security>Length of following birth interval, in months (eighth-to-last-born child)</security>
  <embargo>Length of following birth interval, in months (eighth-to-last-born child)</embargo>
  <respUnit>Length of following birth interval, in months (eighth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPOSTMO_09" name="W_BIRTHINTPOSTMO_09" files="W" intrvl="discrete">
  <labl>Length of following birth interval, in months (ninth-to-last-born child)</labl>
  <imputation>Length of following birth interval, in months (ninth-to-last-born child)</imputation>
  <security>Length of following birth interval, in months (ninth-to-last-born child)</security>
  <embargo>Length of following birth interval, in months (ninth-to-last-born child)</embargo>
  <respUnit>Length of following birth interval, in months (ninth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPOSTMO_10" name="W_BIRTHINTPOSTMO_10" files="W" intrvl="discrete">
  <labl>Length of following birth interval, in months (tenth-to-last-born child)</labl>
  <imputation>Length of following birth interval, in months (tenth-to-last-born child)</imputation>
  <security>Length of following birth interval, in months (tenth-to-last-born child)</security>
  <embargo>Length of following birth interval, in months (tenth-to-last-born child)</embargo>
  <respUnit>Length of following birth interval, in months (tenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPOSTMO_11" name="W_BIRTHINTPOSTMO_11" files="W" intrvl="discrete">
  <labl>Length of following birth interval, in months (eleventh-to-last-born child)</labl>
  <imputation>Length of following birth interval, in months (eleventh-to-last-born child)</imputation>
  <security>Length of following birth interval, in months (eleventh-to-last-born child)</security>
  <embargo>Length of following birth interval, in months (eleventh-to-last-born child)</embargo>
  <respUnit>Length of following birth interval, in months (eleventh-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPOSTMO_12" name="W_BIRTHINTPOSTMO_12" files="W" intrvl="discrete">
  <labl>Length of following birth interval, in months (twelfth-to-last-born child)</labl>
  <imputation>Length of following birth interval, in months (twelfth-to-last-born child)</imputation>
  <security>Length of following birth interval, in months (twelfth-to-last-born child)</security>
  <embargo>Length of following birth interval, in months (twelfth-to-last-born child)</embargo>
  <respUnit>Length of following birth interval, in months (twelfth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPOSTMO_13" name="W_BIRTHINTPOSTMO_13" files="W" intrvl="discrete">
  <labl>Length of following birth interval, in months (thirteenth-to-last-born child)</labl>
  <imputation>Length of following birth interval, in months (thirteenth-to-last-born child)</imputation>
  <security>Length of following birth interval, in months (thirteenth-to-last-born child)</security>
  <embargo>Length of following birth interval, in months (thirteenth-to-last-born child)</embargo>
  <respUnit>Length of following birth interval, in months (thirteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPOSTMO_14" name="W_BIRTHINTPOSTMO_14" files="W" intrvl="discrete">
  <labl>Length of following birth interval, in months (fourteenth-to-last-born child)</labl>
  <imputation>Length of following birth interval, in months (fourteenth-to-last-born child)</imputation>
  <security>Length of following birth interval, in months (fourteenth-to-last-born child)</security>
  <embargo>Length of following birth interval, in months (fourteenth-to-last-born child)</embargo>
  <respUnit>Length of following birth interval, in months (fourteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPOSTMO_15" name="W_BIRTHINTPOSTMO_15" files="W" intrvl="discrete">
  <labl>Length of following birth interval, in months (fifteenth-to-last-born child)</labl>
  <imputation>Length of following birth interval, in months (fifteenth-to-last-born child)</imputation>
  <security>Length of following birth interval, in months (fifteenth-to-last-born child)</security>
  <embargo>Length of following birth interval, in months (fifteenth-to-last-born child)</embargo>
  <respUnit>Length of following birth interval, in months (fifteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPOSTMO_16" name="W_BIRTHINTPOSTMO_16" files="W" intrvl="discrete">
  <labl>Length of following birth interval, in months (sixteenth-to-last-born child)</labl>
  <imputation>Length of following birth interval, in months (sixteenth-to-last-born child)</imputation>
  <security>Length of following birth interval, in months (sixteenth-to-last-born child)</security>
  <embargo>Length of following birth interval, in months (sixteenth-to-last-born child)</embargo>
  <respUnit>Length of following birth interval, in months (sixteenth-to-last-born child)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPOSTMO_17" name="W_BIRTHINTPOSTMO_17" files="W" intrvl="discrete">
  <labl>Length of following birth interval, in months (seventeenth-to-last-born child)</labl>
  <imputation>Length of following birth interval, in months (seventeenth-to-last-born child)</imputation>
  <security>Length of following birth interval, in months (seventeenth-to-last-born child)</security>
  <embargo>Length of following birth interval, in months (seventeenth-to-last-born child)</embargo>
  <respUnit>Length of following birth interval, in months (seventeenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPOSTMO_18" name="W_BIRTHINTPOSTMO_18" files="W" intrvl="discrete">
  <labl>Length of following birth interval, in months (eighteenth-to-last-born child)</labl>
  <imputation>Length of following birth interval, in months (eighteenth-to-last-born child)</imputation>
  <security>Length of following birth interval, in months (eighteenth-to-last-born child)</security>
  <embargo>Length of following birth interval, in months (eighteenth-to-last-born child)</embargo>
  <respUnit>Length of following birth interval, in months (eighteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPOSTMO_19" name="W_BIRTHINTPOSTMO_19" files="W" intrvl="discrete">
  <labl>Length of following birth interval, in months (nineteenth-to-last-born child)</labl>
  <imputation>Length of following birth interval, in months (nineteenth-to-last-born child)</imputation>
  <security>Length of following birth interval, in months (nineteenth-to-last-born child)</security>
  <embargo>Length of following birth interval, in months (nineteenth-to-last-born child)</embargo>
  <respUnit>Length of following birth interval, in months (nineteenth-to-last-born child)</respUnit>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHINTPOSTMO_20" name="W_BIRTHINTPOSTMO_20" files="W" intrvl="discrete">
  <labl>Length of following birth interval, in months (twentieth-to-last-born child)</labl>
  <imputation>Length of following birth interval, in months (twentieth-to-last-born child)</imputation>
  <security>Length of following birth interval, in months (twentieth-to-last-born child)</security>
  <embargo>Length of following birth interval, in months (twentieth-to-last-born child)</embargo>
  <respUnit>Length of following birth interval, in months (twentieth-to-last-born child)</respUnit>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHSZ_ALL" name="W_BIRTHSZ_ALL" files="W" intrvl="discrete">
  <labl>Size of child at birth (subjective report)</labl>
  <imputation>Size of child at birth (subjective report)</imputation>
  <security>Size of child at birth (subjective report)</security>
  <embargo>Size of child at birth (subjective report)</embargo>
  <respUnit>Size of child at birth (subjective report)</respUnit>
  <qstn>
    <qstnLit>415) When (NAME) was born, was he/she very large, larger than average, average, smaller than average, or very small?

VERY LARGE 1
LARGER THAN AVERAGE 2
AVERAGE 3
SMALLER THAN AVERAGE 4
VERY SMALL 5
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>BIRTHSZ_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, BIRTHSZ_ALL (M18_x) indicates the size of child at birth, reported subjectively. 

BIRTHSZ_ALL consists of a set of up to six separate variables, covering the most recent birth (BIRTHSZ_01) up to, potentially, the sixth-most-recent birth (i.e., BIRTHSZ_02, BIRTHSZ_03, BIRTHSZ_04, BIRTHSZ_05, and BIRTHSZ_06) during the reference period prior to the survey.  If BIRTHSZ_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

This information was collected for all births within the reference period preceding the survey. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then BIRTHSZ_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHSZ_01" name="W_BIRTHSZ_01" files="W" intrvl="discrete">
  <labl>Size of child at birth (subjective report) (last birth)</labl>
  <imputation>Size of child at birth (subjective report) (last birth)</imputation>
  <security>Size of child at birth (subjective report) (last birth)</security>
  <embargo>Size of child at birth (subjective report) (last birth)</embargo>
  <respUnit>Size of child at birth (subjective report) (last birth)</respUnit>
  <qstn>
    <qstnLit>415) When (NAME) was born, was he/she very large, larger than average, average, smaller than average, or very small?

VERY LARGE 1
LARGER THAN AVERAGE 2
AVERAGE 3
SMALLER THAN AVERAGE 4
VERY SMALL 5
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Large</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Very large</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Larger than average</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Average</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Small</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Smaller than average</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Very small</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>See BIRTHSZ_ALL.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHSZ_02" name="W_BIRTHSZ_02" files="W" intrvl="discrete">
  <labl>Size of child at birth (subjective report) (second to last birth)</labl>
  <imputation>Size of child at birth (subjective report) (second to last birth)</imputation>
  <security>Size of child at birth (subjective report) (second to last birth)</security>
  <embargo>Size of child at birth (subjective report) (second to last birth)</embargo>
  <respUnit>Size of child at birth (subjective report) (second to last birth)</respUnit>
  <qstn>
    <qstnLit>415) When (NAME) was born, was he/she very large, larger than average, average, smaller than average, or very small?

VERY LARGE 1
LARGER THAN AVERAGE 2
AVERAGE 3
SMALLER THAN AVERAGE 4
VERY SMALL 5
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Large</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Very large</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Larger than average</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Average</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Small</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Smaller than average</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Very small</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHSZ_03" name="W_BIRTHSZ_03" files="W" intrvl="discrete">
  <labl>Size of child at birth (subjective report) (third to last birth)</labl>
  <imputation>Size of child at birth (subjective report) (third to last birth)</imputation>
  <security>Size of child at birth (subjective report) (third to last birth)</security>
  <embargo>Size of child at birth (subjective report) (third to last birth)</embargo>
  <respUnit>Size of child at birth (subjective report) (third to last birth)</respUnit>
  <qstn>
    <qstnLit>415) When (NAME) was born, was he/she very large, larger than average, average, smaller than average, or very small?

VERY LARGE 1
LARGER THAN AVERAGE 2
AVERAGE 3
SMALLER THAN AVERAGE 4
VERY SMALL 5
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Large</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Very large</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Larger than average</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Average</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Small</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Smaller than average</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Very small</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHSZ_04" name="W_BIRTHSZ_04" files="W" intrvl="discrete">
  <labl>Size of child at birth (subjective report) (fourth to last birth)</labl>
  <imputation>Size of child at birth (subjective report) (fourth to last birth)</imputation>
  <security>Size of child at birth (subjective report) (fourth to last birth)</security>
  <embargo>Size of child at birth (subjective report) (fourth to last birth)</embargo>
  <respUnit>Size of child at birth (subjective report) (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>415) When (NAME) was born, was he/she very large, larger than average, average, smaller than average, or very small?

VERY LARGE 1
LARGER THAN AVERAGE 2
AVERAGE 3
SMALLER THAN AVERAGE 4
VERY SMALL 5
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Large</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Very large</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Larger than average</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Average</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Small</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Smaller than average</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Very small</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHSZ_05" name="W_BIRTHSZ_05" files="W" intrvl="discrete">
  <labl>Size of child at birth (subjective report) (fifth to last birth)</labl>
  <imputation>Size of child at birth (subjective report) (fifth to last birth)</imputation>
  <security>Size of child at birth (subjective report) (fifth to last birth)</security>
  <embargo>Size of child at birth (subjective report) (fifth to last birth)</embargo>
  <respUnit>Size of child at birth (subjective report) (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>415) When (NAME) was born, was he/she very large, larger than average, average, smaller than average, or very small?

VERY LARGE 1
LARGER THAN AVERAGE 2
AVERAGE 3
SMALLER THAN AVERAGE 4
VERY SMALL 5
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Large</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Very large</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Larger than average</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Average</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Small</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Smaller than average</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Very small</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHSZ_06" name="W_BIRTHSZ_06" files="W" intrvl="discrete">
  <labl>Size of child at birth (subjective report) (sixth to last birth)</labl>
  <imputation>Size of child at birth (subjective report) (sixth to last birth)</imputation>
  <security>Size of child at birth (subjective report) (sixth to last birth)</security>
  <embargo>Size of child at birth (subjective report) (sixth to last birth)</embargo>
  <respUnit>Size of child at birth (subjective report) (sixth to last birth)</respUnit>
  <catgry>
    <catValu>10</catValu>
    <labl>Large</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Very large</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Larger than average</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Average</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Small</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Smaller than average</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Very small</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHWT_ALL" name="W_BIRTHWT_ALL" files="W" intrvl="discrete">
  <labl>Birthweight in kilos</labl>
  <imputation>Birthweight in kilos</imputation>
  <security>Birthweight in kilos</security>
  <embargo>Birthweight in kilos</embargo>
  <respUnit>Birthweight in kilos</respUnit>
  <qstn>
    <qstnLit>417) How much did he/she weigh?

KILOGRAMS: ___
DON'T KNOW 9998</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>BIRTHWT_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, BIRTHWT_ALL (M19_x) reports the child's birthweight in kilos with three implied decimal places (or, alternatively stated, in grams with no decimal places). Children who were not weighed are coded 9996.

BIRTHWT_ALL consists of a set of up to six separate variables, covering the most recent birth (BIRTHWT_01) up to, potentially, the sixth-most-recent birth (i.e., BIRTHWT_02, BIRTHWT_03, BIRTHWT_04, BIRTHWT_05, and BIRTHWT_06) during the reference period prior to the survey.  If BIRTHWT_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

This information was collected for all births within the reference period preceding the survey. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then BIRTHWT_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHWT_01" name="W_BIRTHWT_01" files="W" intrvl="discrete">
  <labl>Birthweight in kilos (last birth)</labl>
  <imputation>Birthweight in kilos (last birth)</imputation>
  <security>Birthweight in kilos (last birth)</security>
  <embargo>Birthweight in kilos (last birth)</embargo>
  <respUnit>Birthweight in kilos (last birth)</respUnit>
  <qstn>
    <qstnLit>417) How much did he/she weigh?

KILOGRAMS: ___
DON'T KNOW 9998</qstnLit>
  </qstn>
  <catgry>
    <catValu>9995</catValu>
    <labl>9995+</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Not weighed at birth</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, BIRTHWT_01 (M19_1) reports the last-born child's birthweight in kilos with three implied decimal places (or, alternatively stated, in grams with no decimal places). Children who were not weighed are coded 9996.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHWT_02" name="W_BIRTHWT_02" files="W" intrvl="discrete">
  <labl>Birthweight in kilos (second to last birth)</labl>
  <imputation>Birthweight in kilos (second to last birth)</imputation>
  <security>Birthweight in kilos (second to last birth)</security>
  <embargo>Birthweight in kilos (second to last birth)</embargo>
  <respUnit>Birthweight in kilos (second to last birth)</respUnit>
  <qstn>
    <qstnLit>417) How much did he/she weigh?

KILOGRAMS: ___
DON'T KNOW 9998</qstnLit>
  </qstn>
  <catgry>
    <catValu>9995</catValu>
    <labl>9995+</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Not weighed at birth</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHWT_03" name="W_BIRTHWT_03" files="W" intrvl="discrete">
  <labl>Birthweight in kilos (third to last birth)</labl>
  <imputation>Birthweight in kilos (third to last birth)</imputation>
  <security>Birthweight in kilos (third to last birth)</security>
  <embargo>Birthweight in kilos (third to last birth)</embargo>
  <respUnit>Birthweight in kilos (third to last birth)</respUnit>
  <qstn>
    <qstnLit>417) How much did he/she weigh?

KILOGRAMS: ___
DON'T KNOW 9998</qstnLit>
  </qstn>
  <catgry>
    <catValu>9995</catValu>
    <labl>9995+</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Not weighed at birth</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHWT_04" name="W_BIRTHWT_04" files="W" intrvl="discrete">
  <labl>Birthweight in kilos (fourth to last birth)</labl>
  <imputation>Birthweight in kilos (fourth to last birth)</imputation>
  <security>Birthweight in kilos (fourth to last birth)</security>
  <embargo>Birthweight in kilos (fourth to last birth)</embargo>
  <respUnit>Birthweight in kilos (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>417) How much did he/she weigh?

KILOGRAMS: ___
DON'T KNOW 9998</qstnLit>
  </qstn>
  <catgry>
    <catValu>9995</catValu>
    <labl>9995+</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Not weighed at birth</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHWT_05" name="W_BIRTHWT_05" files="W" intrvl="discrete">
  <labl>Birthweight in kilos (fifth to last birth)</labl>
  <imputation>Birthweight in kilos (fifth to last birth)</imputation>
  <security>Birthweight in kilos (fifth to last birth)</security>
  <embargo>Birthweight in kilos (fifth to last birth)</embargo>
  <respUnit>Birthweight in kilos (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>417) How much did he/she weigh?

KILOGRAMS: ___
DON'T KNOW 9998</qstnLit>
  </qstn>
  <catgry>
    <catValu>9995</catValu>
    <labl>9995+</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Not weighed at birth</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIRTHWT_06" name="W_BIRTHWT_06" files="W" intrvl="discrete">
  <labl>Birthweight in kilos (sixth to last birth)</labl>
  <imputation>Birthweight in kilos (sixth to last birth)</imputation>
  <security>Birthweight in kilos (sixth to last birth)</security>
  <embargo>Birthweight in kilos (sixth to last birth)</embargo>
  <respUnit>Birthweight in kilos (sixth to last birth)</respUnit>
  <catgry>
    <catValu>9995</catValu>
    <labl>9995+</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Not weighed at birth</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PREMATBR_ALL" name="W_PREMATBR_ALL" files="W" intrvl="discrete">
  <labl>Premature birth</labl>
  <imputation>Premature birth</imputation>
  <security>Premature birth</security>
  <embargo>Premature birth</embargo>
  <respUnit>Premature birth</respUnit>
  <qstn>
    <qstnLit>413) Was (NAME) born on time or prematurely?

ON TIME 1
PREMATURELY 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>PREMATBR_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, PREMATBR_ALL (M16_x) indicates whether the child was born on time or prematurely. 

PREMATBR_ALL consists of a set of up to six separate variables, covering the most recent birth (PREMATBR_01) up to the sixth most recent birth (PREMATRBR_06) during the reference period prior to the survey.  If PREMATRBR_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

This information was collected for all births within the reference period preceding the survey. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then PREMATBR_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PREMATBR_01" name="W_PREMATBR_01" files="W" intrvl="discrete">
  <labl>Premature birth (last birth)</labl>
  <imputation>Premature birth (last birth)</imputation>
  <security>Premature birth (last birth)</security>
  <embargo>Premature birth (last birth)</embargo>
  <respUnit>Premature birth (last birth)</respUnit>
  <qstn>
    <qstnLit>413) Was (NAME) born on time or prematurely?

ON TIME 1
PREMATURELY 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>On time</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Premature</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Less than 7 months</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>7 to 8 months</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Overdue</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, PREMATBR_01 (M16_1) indicates whether the child was born on time or prematurely (for the last birth).</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PREMATBR_02" name="W_PREMATBR_02" files="W" intrvl="discrete">
  <labl>Premature birth (second to last birth)</labl>
  <imputation>Premature birth (second to last birth)</imputation>
  <security>Premature birth (second to last birth)</security>
  <embargo>Premature birth (second to last birth)</embargo>
  <respUnit>Premature birth (second to last birth)</respUnit>
  <qstn>
    <qstnLit>413) Was (NAME) born on time or prematurely?

ON TIME 1
PREMATURELY 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>On time</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Premature</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Less than 7 months</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>7 to 8 months</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Overdue</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PREMATBR_03" name="W_PREMATBR_03" files="W" intrvl="discrete">
  <labl>Premature birth (third to last birth)</labl>
  <imputation>Premature birth (third to last birth)</imputation>
  <security>Premature birth (third to last birth)</security>
  <embargo>Premature birth (third to last birth)</embargo>
  <respUnit>Premature birth (third to last birth)</respUnit>
  <qstn>
    <qstnLit>413) Was (NAME) born on time or prematurely?

ON TIME 1
PREMATURELY 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>On time</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Premature</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Less than 7 months</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>7 to 8 months</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Overdue</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PREMATBR_04" name="W_PREMATBR_04" files="W" intrvl="discrete">
  <labl>Premature birth (fourth to last birth)</labl>
  <imputation>Premature birth (fourth to last birth)</imputation>
  <security>Premature birth (fourth to last birth)</security>
  <embargo>Premature birth (fourth to last birth)</embargo>
  <respUnit>Premature birth (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>413) Was (NAME) born on time or prematurely?

ON TIME 1
PREMATURELY 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>On time</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Premature</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Less than 7 months</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>7 to 8 months</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Overdue</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PREMATBR_05" name="W_PREMATBR_05" files="W" intrvl="discrete">
  <labl>Premature birth (fifth to last birth)</labl>
  <imputation>Premature birth (fifth to last birth)</imputation>
  <security>Premature birth (fifth to last birth)</security>
  <embargo>Premature birth (fifth to last birth)</embargo>
  <respUnit>Premature birth (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>413) Was (NAME) born on time or prematurely?

ON TIME 1
PREMATURELY 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>On time</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Premature</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Less than 7 months</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>7 to 8 months</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Overdue</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PREMATBR_06" name="W_PREMATBR_06" files="W" intrvl="discrete">
  <labl>Premature birth (sixth to last birth)</labl>
  <imputation>Premature birth (sixth to last birth)</imputation>
  <security>Premature birth (sixth to last birth)</security>
  <embargo>Premature birth (sixth to last birth)</embargo>
  <respUnit>Premature birth (sixth to last birth)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>On time</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Premature</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Less than 7 months</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>7 to 8 months</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Overdue</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CHDESIRE_ALL" name="W_CHDESIRE_ALL" files="W" intrvl="discrete">
  <labl>Time wanted pregnancy</labl>
  <imputation>Time wanted pregnancy</imputation>
  <security>Time wanted pregnancy</security>
  <embargo>Time wanted pregnancy</embargo>
  <respUnit>Time wanted pregnancy</respUnit>
  <qstn>
    <qstnLit>403) At the time you became pregnant with (NAME), did you want to become pregnant then, did you want to wait until later, or did you want no more children at all?

THEN 1 (GO TO 405)
LATER 2
NO MORE 3 (GO TO 405)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Then</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Later</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>No more</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, CHDESIRE_ALL (M10_x) indicates whether the child was wanted at the time of pregnancy, was wanted but later, or was not wanted at all.

CHDESIRE_ALL consists of a set of up to six separate variables, covering the most recent birth (CHDESIRE_01) up to, potentially, the sixth-most-recent birth (i.e., CHDESIRE_02, CHDESIRE_03, CHDESIRE_04, CHDESIRE_05, and CHDESIRE_06) during the reference period prior to the survey.  If CHDESIRE_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

This information was collected for all births within the reference period preceding the survey. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then CHDESIRE_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CHDESIRE_01" name="W_CHDESIRE_01" files="W" intrvl="discrete">
  <labl>Time wanted pregnancy (last birth)</labl>
  <imputation>Time wanted pregnancy (last birth)</imputation>
  <security>Time wanted pregnancy (last birth)</security>
  <embargo>Time wanted pregnancy (last birth)</embargo>
  <respUnit>Time wanted pregnancy (last birth)</respUnit>
  <qstn>
    <qstnLit>403) At the time you became pregnant with (NAME), did you want to become pregnant then, did you want to wait until later, or did you want no more children at all?

THEN 1 (GO TO 405)
LATER 2
NO MORE 3 (GO TO 405)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Then</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Later</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>No more</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, CHDESIRE_01 (M10_1) indicates whether the last-born child was wanted at the time of pregnancy, was wanted but later, or was not wanted at all.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CHDESIRE_02" name="W_CHDESIRE_02" files="W" intrvl="discrete">
  <labl>Time wanted pregnancy (second to last birth)</labl>
  <imputation>Time wanted pregnancy (second to last birth)</imputation>
  <security>Time wanted pregnancy (second to last birth)</security>
  <embargo>Time wanted pregnancy (second to last birth)</embargo>
  <respUnit>Time wanted pregnancy (second to last birth)</respUnit>
  <qstn>
    <qstnLit>403) At the time you became pregnant with (NAME), did you want to become pregnant then, did you want to wait until later, or did you want no more children at all?

THEN 1 (GO TO 405)
LATER 2
NO MORE 3 (GO TO 405)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Then</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Later</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>No more</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CHDESIRE_03" name="W_CHDESIRE_03" files="W" intrvl="discrete">
  <labl>Time wanted pregnancy (third to last birth)</labl>
  <imputation>Time wanted pregnancy (third to last birth)</imputation>
  <security>Time wanted pregnancy (third to last birth)</security>
  <embargo>Time wanted pregnancy (third to last birth)</embargo>
  <respUnit>Time wanted pregnancy (third to last birth)</respUnit>
  <qstn>
    <qstnLit>403) At the time you became pregnant with (NAME), did you want to become pregnant then, did you want to wait until later, or did you want no more children at all?

THEN 1 (GO TO 405)
LATER 2
NO MORE 3 (GO TO 405)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Then</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Later</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>No more</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CHDESIRE_04" name="W_CHDESIRE_04" files="W" intrvl="discrete">
  <labl>Time wanted pregnancy (fourth to last birth)</labl>
  <imputation>Time wanted pregnancy (fourth to last birth)</imputation>
  <security>Time wanted pregnancy (fourth to last birth)</security>
  <embargo>Time wanted pregnancy (fourth to last birth)</embargo>
  <respUnit>Time wanted pregnancy (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>403) At the time you became pregnant with (NAME), did you want to become pregnant then, did you want to wait until later, or did you want no more children at all?

THEN 1 (GO TO 405)
LATER 2
NO MORE 3 (GO TO 405)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Then</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Later</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>No more</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CHDESIRE_05" name="W_CHDESIRE_05" files="W" intrvl="discrete">
  <labl>Time wanted pregnancy (fifth to last birth)</labl>
  <imputation>Time wanted pregnancy (fifth to last birth)</imputation>
  <security>Time wanted pregnancy (fifth to last birth)</security>
  <embargo>Time wanted pregnancy (fifth to last birth)</embargo>
  <respUnit>Time wanted pregnancy (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>403) At the time you became pregnant with (NAME), did you want to become pregnant then, did you want to wait until later, or did you want no more children at all?

THEN 1 (GO TO 405)
LATER 2
NO MORE 3 (GO TO 405)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Then</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Later</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>No more</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CHDESIRE_06" name="W_CHDESIRE_06" files="W" intrvl="discrete">
  <labl>Time wanted pregnancy (sixth to last birth)</labl>
  <imputation>Time wanted pregnancy (sixth to last birth)</imputation>
  <security>Time wanted pregnancy (sixth to last birth)</security>
  <embargo>Time wanted pregnancy (sixth to last birth)</embargo>
  <respUnit>Time wanted pregnancy (sixth to last birth)</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>Then</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Later</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>No more</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CHDESIREL_ALL" name="W_CHDESIREL_ALL" files="W" intrvl="discrete">
  <labl>Time wanted to wait before pregnancy</labl>
  <imputation>Time wanted to wait before pregnancy</imputation>
  <security>Time wanted to wait before pregnancy</security>
  <embargo>Time wanted to wait before pregnancy</embargo>
  <respUnit>Time wanted to wait before pregnancy</respUnit>
  <qstn>
    <qstnLit>404) How much longer would you have liked to have waited?

MONTHS: ___ 1
YEARS: ___ 2
DON'T KNOW 998</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>CHDESIREL_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the three to five years before the survey and who wanted to become pregnant later, CHDESIREL_ALL (M11_x) reports the length of time they would have wanted to wait. Following DHS convention, intervals reported in weeks are coded with a "1" in the first digit, while intervals reported in years are coded with a "2" in the first digit.

CHDESIREL_ALL consists of a set of up to six separate variables, covering the most recent birth (CHDESIREL_01) up to, potentially, the sixth-most-recent birth (i.e., CHDESIREREL_02, CHDESIREL_03, CHDESIREREL_04, CHDESIREL_05, and CHDESIREL_06) during the reference period prior to the survey.  If CHDESIREL_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For nearly all samples, this information was collected for all births within the reference period preceding the survey. (See Comparability for information about exceptions.) In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then CHDESIREL_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CHDESIREL_01" name="W_CHDESIREL_01" files="W" intrvl="discrete">
  <labl>Time wanted to wait before pregnancy  (last birth)</labl>
  <imputation>Time wanted to wait before pregnancy  (last birth)</imputation>
  <security>Time wanted to wait before pregnancy  (last birth)</security>
  <embargo>Time wanted to wait before pregnancy  (last birth)</embargo>
  <respUnit>Time wanted to wait before pregnancy  (last birth)</respUnit>
  <qstn>
    <qstnLit>404) How much longer would you have liked to have waited?

MONTHS: ___ 1
YEARS: ___ 2
DON'T KNOW 998</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>MONTHS</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>95</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>96</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>97</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>98</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Weeks, number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>YEARS</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30+</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Years, number missing</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>See CHDESIREL_ALL.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CHDESIREL_02" name="W_CHDESIREL_02" files="W" intrvl="discrete">
  <labl>Time wanted to wait before pregnancy (second to last birth)</labl>
  <imputation>Time wanted to wait before pregnancy (second to last birth)</imputation>
  <security>Time wanted to wait before pregnancy (second to last birth)</security>
  <embargo>Time wanted to wait before pregnancy (second to last birth)</embargo>
  <respUnit>Time wanted to wait before pregnancy (second to last birth)</respUnit>
  <qstn>
    <qstnLit>404) How much longer would you have liked to have waited?

MONTHS: ___ 1
YEARS: ___ 2
DON'T KNOW 998</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>MONTHS</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>95</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>96</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>97</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>98</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Months, number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>YEARS</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30+</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Years, number missing</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CHDESIREL_03" name="W_CHDESIREL_03" files="W" intrvl="discrete">
  <labl>Time wanted to wait before pregnancy (third to last birth)</labl>
  <imputation>Time wanted to wait before pregnancy (third to last birth)</imputation>
  <security>Time wanted to wait before pregnancy (third to last birth)</security>
  <embargo>Time wanted to wait before pregnancy (third to last birth)</embargo>
  <respUnit>Time wanted to wait before pregnancy (third to last birth)</respUnit>
  <qstn>
    <qstnLit>404) How much longer would you have liked to have waited?

MONTHS: ___ 1
YEARS: ___ 2
DON'T KNOW 998</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>MONTHS</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>95</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>96</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>97</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>98</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Weeks, number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>YEARS</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30+</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Years, number missing</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CHDESIREL_04" name="W_CHDESIREL_04" files="W" intrvl="discrete">
  <labl>Time wanted to wait before pregnancy (fourth to last birth)</labl>
  <imputation>Time wanted to wait before pregnancy (fourth to last birth)</imputation>
  <security>Time wanted to wait before pregnancy (fourth to last birth)</security>
  <embargo>Time wanted to wait before pregnancy (fourth to last birth)</embargo>
  <respUnit>Time wanted to wait before pregnancy (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>404) How much longer would you have liked to have waited?

MONTHS: ___ 1
YEARS: ___ 2
DON'T KNOW 998</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>MONTHS</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>95</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>96</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>97</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>98</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Weeks, number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>YEARS</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30+</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Years, number missing</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CHDESIREL_05" name="W_CHDESIREL_05" files="W" intrvl="discrete">
  <labl>Time wanted to wait before pregnancy (fifth to last birth)</labl>
  <imputation>Time wanted to wait before pregnancy (fifth to last birth)</imputation>
  <security>Time wanted to wait before pregnancy (fifth to last birth)</security>
  <embargo>Time wanted to wait before pregnancy (fifth to last birth)</embargo>
  <respUnit>Time wanted to wait before pregnancy (fifth to last birth)</respUnit>
  <catgry>
    <catValu>100</catValu>
    <labl>MONTHS</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>95</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>96</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>97</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>98</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Weeks, number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>YEARS</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30+</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Years, number missing</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CHDESIREL_06" name="W_CHDESIREL_06" files="W" intrvl="discrete">
  <labl>Time wanted to wait before pregnancy (sixth to last birth)</labl>
  <imputation>Time wanted to wait before pregnancy (sixth to last birth)</imputation>
  <security>Time wanted to wait before pregnancy (sixth to last birth)</security>
  <embargo>Time wanted to wait before pregnancy (sixth to last birth)</embargo>
  <respUnit>Time wanted to wait before pregnancy (sixth to last birth)</respUnit>
  <catgry>
    <catValu>100</catValu>
    <labl>MONTHS</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>95</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>96</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>97</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>98</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Weeks, number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>YEARS</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30+</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Years, number missing</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPAMHMO_ALL" name="W_PPAMHMO_ALL" files="W" intrvl="discrete">
  <labl>Duration of postpartum amenorrhea in months</labl>
  <imputation>Duration of postpartum amenorrhea in months</imputation>
  <security>Duration of postpartum amenorrhea in months</security>
  <embargo>Duration of postpartum amenorrhea in months</embargo>
  <respUnit>Duration of postpartum amenorrhea in months</respUnit>
  <qstn>
    <qstnLit>420) For how many months after the birth of (NAME) did you not have a period?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>PPAMHMO_ALL available</labl>
  </catgry>
  <txt>PPAMHMO_ALL reports the duration, in months, of postpartum amenorrhea after the birth of the child, for women who gave birth in the last three to five years. Women whose period had not returned at the time of interview were excluded from PPAMHMO_ALL, but women who were still amenorrheic were included in calculations for the similar variable PPAMHMOC_ALL.  

The maximum period allowed during the data editing (by the survey administrators) was the interval between the date of birth of the child and the date of conception of the following child (with birth date minus nine months used for the date of conception) or the date of interview if there was no following birth. 

PPAMHMO_ALL consists of a set of six separate variables, covering the most recent birth (PPAMHMO_01) up to the sixth-most-recent birth (i.e., PPAMHMO_02, PPAMHMO_03, PPAMHMO_04, PPAMHMO_05, and PPAMHMO_06) during the reference period prior to the survey.  If PPAMHMO_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then PPAMHMO_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPAMHMO_01" name="W_PPAMHMO_01" files="W" intrvl="discrete">
  <labl>Duration of postpartum amenorrhea in months (last births)</labl>
  <imputation>Duration of postpartum amenorrhea in months (last births)</imputation>
  <security>Duration of postpartum amenorrhea in months (last births)</security>
  <embargo>Duration of postpartum amenorrhea in months (last births)</embargo>
  <respUnit>Duration of postpartum amenorrhea in months (last births)</respUnit>
  <qstn>
    <qstnLit>420) For how many months after the birth of (NAME) did you not have a period?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>Period not returned</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>PPAMHMO_01 reports the duration, in months, of postpartum amenorrhea after the birth of the child (for the last birth), for women who gave birth in the last three to five years. Women whose period had not returned at the time of interview were excluded from PPAMHMO_01, but women who were still amenorrheic were included in calculations for the similar variable PPAMHMOC_01.  

The maximum period allowed during the data editing (by the survey administrators) was the interval between the date of birth of the child and the date of conception of the following child (with birth date minus nine months used for the date of conception) or the date of interview if there was no following birth.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPAMHMO_02" name="W_PPAMHMO_02" files="W" intrvl="discrete">
  <labl>Duration of postpartum amenorrhea in months (second to last birth)</labl>
  <imputation>Duration of postpartum amenorrhea in months (second to last birth)</imputation>
  <security>Duration of postpartum amenorrhea in months (second to last birth)</security>
  <embargo>Duration of postpartum amenorrhea in months (second to last birth)</embargo>
  <respUnit>Duration of postpartum amenorrhea in months (second to last birth)</respUnit>
  <qstn>
    <qstnLit>420) For how many months after the birth of (NAME) did you not have a period?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>Period not returned</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPAMHMO_03" name="W_PPAMHMO_03" files="W" intrvl="discrete">
  <labl>Duration of postpartum amenorrhea in months (third to last birth)</labl>
  <imputation>Duration of postpartum amenorrhea in months (third to last birth)</imputation>
  <security>Duration of postpartum amenorrhea in months (third to last birth)</security>
  <embargo>Duration of postpartum amenorrhea in months (third to last birth)</embargo>
  <respUnit>Duration of postpartum amenorrhea in months (third to last birth)</respUnit>
  <qstn>
    <qstnLit>420) For how many months after the birth of (NAME) did you not have a period?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>Period not returned</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPAMHMO_04" name="W_PPAMHMO_04" files="W" intrvl="discrete">
  <labl>Duration of postpartum amenorrhea in months (fourth to last birth)</labl>
  <imputation>Duration of postpartum amenorrhea in months (fourth to last birth)</imputation>
  <security>Duration of postpartum amenorrhea in months (fourth to last birth)</security>
  <embargo>Duration of postpartum amenorrhea in months (fourth to last birth)</embargo>
  <respUnit>Duration of postpartum amenorrhea in months (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>420) For how many months after the birth of (NAME) did you not have a period?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>Period not returned</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPAMHMO_05" name="W_PPAMHMO_05" files="W" intrvl="discrete">
  <labl>Duration of postpartum amenorrhea in months (fifth to last birth)</labl>
  <imputation>Duration of postpartum amenorrhea in months (fifth to last birth)</imputation>
  <security>Duration of postpartum amenorrhea in months (fifth to last birth)</security>
  <embargo>Duration of postpartum amenorrhea in months (fifth to last birth)</embargo>
  <respUnit>Duration of postpartum amenorrhea in months (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>420) For how many months after the birth of (NAME) did you not have a period?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>Period not returned</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPAMHMO_06" name="W_PPAMHMO_06" files="W" intrvl="discrete">
  <labl>Duration of postpartum amenorrhea in months (sixth to last birth)</labl>
  <imputation>Duration of postpartum amenorrhea in months (sixth to last birth)</imputation>
  <security>Duration of postpartum amenorrhea in months (sixth to last birth)</security>
  <embargo>Duration of postpartum amenorrhea in months (sixth to last birth)</embargo>
  <respUnit>Duration of postpartum amenorrhea in months (sixth to last birth)</respUnit>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>Period not returned</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPAMHMOC_ALL" name="W_PPAMHMOC_ALL" files="W" intrvl="discrete">
  <labl>Months of postpartum amenorrhea (including women still amenorrheic)</labl>
  <imputation>Months of postpartum amenorrhea (including women still amenorrheic)</imputation>
  <security>Months of postpartum amenorrhea (including women still amenorrheic)</security>
  <embargo>Months of postpartum amenorrhea (including women still amenorrheic)</embargo>
  <respUnit>Months of postpartum amenorrhea (including women still amenorrheic)</respUnit>
  <qstn>
    <qstnLit>420) For how many months after the birth of (NAME) did you not have a period?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>PPAMHMOC_ALL available</labl>
  </catgry>
  <txt>PPAMHMOC_ALL (M9_x) reports the duration, in months, of postpartum amenorrhea after the birth of the child, for women who gave birth in the last three to five years. Women whose period had not returned before the following birth or prior to the interview were included in PPAMHMOC_ALL.  By contrast, only women whose menses had resumed were included in the similar variable PPAMHMO_ALL. 

PPAMHMOC_ALL consists of a set of six separate variables, covering the most recent birth (PPAMHMOC_01) up to the sixth-most-recent birth (i.e., PPAMHMOC_02, PPAMHMOC_03, PPAMHMOC_04, PPAMHMOC_05, and PPAMHMOC_06) during the reference period prior to the survey.  If PPAMHMOC_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

The maximum period allowed during the data editing (by the survey administrators) was the interval between the date of birth of the child and the date of conception of the following child (with birth date minus nine months used for the date of conception) or the date of interview if there was no following birth. 

For DHS Phase II forward, inconsistent durations based on the original reporting of the duration of amenorrhea were recoded to "Inconsistent" (96 in IPUMS-DHS). In cases where the duration was one month longer than the interval, the duration was shortened by one month, consistent with Phase I.  For Model "A" countries in Phase II only, if the duration of postpartum amenorrhea extended into the following pregnancy in the calendar, the duration was shortened to the start of the following pregnancy.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPAMHMOC_01" name="W_PPAMHMOC_01" files="W" intrvl="discrete">
  <labl>Months of postpartum amenorrhea (including women still amenorrheic) (last birth)</labl>
  <imputation>Months of postpartum amenorrhea (including women still amenorrheic) (last birth)</imputation>
  <security>Months of postpartum amenorrhea (including women still amenorrheic) (last birth)</security>
  <embargo>Months of postpartum amenorrhea (including women still amenorrheic) (last birth)</embargo>
  <respUnit>Months of postpartum amenorrhea (including women still amenorrheic) (last birth)</respUnit>
  <qstn>
    <qstnLit>420) For how many months after the birth of (NAME) did you not have a period?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>PPAMHMOC_01 (M9_1) reports the duration, in months, of postpartum amenorrhea after the birth of the child (for the last birth), for women who gave birth in the last three to five years. Women whose period had not returned before the following birth or prior to the interview were included in PPAMHMOC_01.  By contrast, only women whose menses had resumed were included in the similar variable PPAMHMO_01. 

The maximum period allowed during the data editing (by the survey administrators) was the interval between the date of birth of the child and the date of conception of the following child (with birth date minus nine months used for the date of conception) or the date of interview if there was no following birth. 

For DHS Phase II forward, inconsistent durations based on the original reporting of the duration of amenorrhea were recoded to "Inconsistent" (96 in IPUMS-DHS). In cases where the duration was one month longer than the interval, the duration was shortened by one month, consistent with Phase I.  For Model "A" countries in Phase II only, if the duration of postpartum amenorrhea extended into the following pregnancy in the calendar, the duration was shortened to the start of the following pregnancy.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPAMHMOC_02" name="W_PPAMHMOC_02" files="W" intrvl="discrete">
  <labl>Months of postpartum amenorrhea (including women still amenorrheic) (second to last  birth)</labl>
  <imputation>Months of postpartum amenorrhea (including women still amenorrheic) (second to last  birth)</imputation>
  <security>Months of postpartum amenorrhea (including women still amenorrheic) (second to last  birth)</security>
  <embargo>Months of postpartum amenorrhea (including women still amenorrheic) (second to last  birth)</embargo>
  <respUnit>Months of postpartum amenorrhea (including women still amenorrheic) (second to last  birth)</respUnit>
  <qstn>
    <qstnLit>420) For how many months after the birth of (NAME) did you not have a period?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPAMHMOC_03" name="W_PPAMHMOC_03" files="W" intrvl="discrete">
  <labl>Months of postpartum amenorrhea (including women still amenorrheic) (third to last  birth)</labl>
  <imputation>Months of postpartum amenorrhea (including women still amenorrheic) (third to last  birth)</imputation>
  <security>Months of postpartum amenorrhea (including women still amenorrheic) (third to last  birth)</security>
  <embargo>Months of postpartum amenorrhea (including women still amenorrheic) (third to last  birth)</embargo>
  <respUnit>Months of postpartum amenorrhea (including women still amenorrheic) (third to last  birth)</respUnit>
  <qstn>
    <qstnLit>420) For how many months after the birth of (NAME) did you not have a period?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPAMHMOC_04" name="W_PPAMHMOC_04" files="W" intrvl="discrete">
  <labl>Months of postpartum amenorrhea (including women still amenorrheic) (fourth to last  birth)</labl>
  <imputation>Months of postpartum amenorrhea (including women still amenorrheic) (fourth to last  birth)</imputation>
  <security>Months of postpartum amenorrhea (including women still amenorrheic) (fourth to last  birth)</security>
  <embargo>Months of postpartum amenorrhea (including women still amenorrheic) (fourth to last  birth)</embargo>
  <respUnit>Months of postpartum amenorrhea (including women still amenorrheic) (fourth to last  birth)</respUnit>
  <qstn>
    <qstnLit>420) For how many months after the birth of (NAME) did you not have a period?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPAMHMOC_05" name="W_PPAMHMOC_05" files="W" intrvl="discrete">
  <labl>Months of postpartum amenorrhea (including women still amenorrheic) (fifth to last  birth)</labl>
  <imputation>Months of postpartum amenorrhea (including women still amenorrheic) (fifth to last  birth)</imputation>
  <security>Months of postpartum amenorrhea (including women still amenorrheic) (fifth to last  birth)</security>
  <embargo>Months of postpartum amenorrhea (including women still amenorrheic) (fifth to last  birth)</embargo>
  <respUnit>Months of postpartum amenorrhea (including women still amenorrheic) (fifth to last  birth)</respUnit>
  <qstn>
    <qstnLit>420) For how many months after the birth of (NAME) did you not have a period?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPAMHMOC_06" name="W_PPAMHMOC_06" files="W" intrvl="discrete">
  <labl>Months of postpartum amenorrhea (including women still amenorrheic) (sixth to last  birth)</labl>
  <imputation>Months of postpartum amenorrhea (including women still amenorrheic) (sixth to last  birth)</imputation>
  <security>Months of postpartum amenorrhea (including women still amenorrheic) (sixth to last  birth)</security>
  <embargo>Months of postpartum amenorrhea (including women still amenorrheic) (sixth to last  birth)</embargo>
  <respUnit>Months of postpartum amenorrhea (including women still amenorrheic) (sixth to last  birth)</respUnit>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPAMFLAG_ALL" name="W_PPAMFLAG_ALL" files="W" intrvl="discrete">
  <labl>Flag variable for postpartum amenorrhea</labl>
  <imputation>Flag variable for postpartum amenorrhea</imputation>
  <security>Flag variable for postpartum amenorrhea</security>
  <embargo>Flag variable for postpartum amenorrhea</embargo>
  <respUnit>Flag variable for postpartum amenorrhea</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>PPAMFLAG_ALL available</labl>
  </catgry>
  <txt>PPAMFLAG_ALL (M28_x) reports the type of problem, if any, found in editing data on the duration of postpartum amenorrhea, for women who gave birth in the last three to five years. Cases with no known problem are coded 0.  

PPAMFLAG_ALL consists of a set of six separate variables, covering the most recent birth (PPAMFLAG_01) up to the sixth-most-recent birth (i.e., PPAMFLAG_02, PPAMFLAG_03, PPAMFLAG_04, PPAMFLAG_05, and PPAMFLAG_06) during the reference period prior to the survey.  If PPAMFLAG_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then PPAMFLAG_06 would not be available for that survey in IPUMS-DHS. 

For discussion of the editing rules implemented (by the survey administrators) for data on postpartum amenorrhea, see PPAMHMO_ALL and PPAMHMOC_ALL,</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPAMFLAG_01" name="W_PPAMFLAG_01" files="W" intrvl="discrete">
  <labl>Flag variable for postpartum amenorrhea (last birth)</labl>
  <imputation>Flag variable for postpartum amenorrhea (last birth)</imputation>
  <security>Flag variable for postpartum amenorrhea (last birth)</security>
  <embargo>Flag variable for postpartum amenorrhea (last birth)</embargo>
  <respUnit>Flag variable for postpartum amenorrhea (last birth)</respUnit>
  <catgry>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Greater than interval between birth and succeeding birth</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Greater than interval between birth and date of interview by only 1 month</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>During pregnancy in calendar</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>PPAMFLAG_01 (M28_1) reports the type of problem, if any, found in editing data on the duration of postpartum amenorrhea (for the last birth), for women who gave birth in the last three to five years. Cases with no known problem are coded 0.  

For discussion of the editing rules implemented (by the survey administrators) for data on postpartum amenorrhea, see PPAMHMO_01 and PPAMHMOC_01,</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPAMFLAG_02" name="W_PPAMFLAG_02" files="W" intrvl="discrete">
  <labl>Flag variable for postpartum amenorrhea (second to last birth)</labl>
  <imputation>Flag variable for postpartum amenorrhea (second to last birth)</imputation>
  <security>Flag variable for postpartum amenorrhea (second to last birth)</security>
  <embargo>Flag variable for postpartum amenorrhea (second to last birth)</embargo>
  <respUnit>Flag variable for postpartum amenorrhea (second to last birth)</respUnit>
  <catgry>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Greater than interval between birth and succeeding birth</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Greater than interval between birth and date of interview by only 1 month</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>During pregnancy in calendar</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPAMFLAG_03" name="W_PPAMFLAG_03" files="W" intrvl="discrete">
  <labl>Flag variable for postpartum amenorrhea (third to last birth)</labl>
  <imputation>Flag variable for postpartum amenorrhea (third to last birth)</imputation>
  <security>Flag variable for postpartum amenorrhea (third to last birth)</security>
  <embargo>Flag variable for postpartum amenorrhea (third to last birth)</embargo>
  <respUnit>Flag variable for postpartum amenorrhea (third to last birth)</respUnit>
  <catgry>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Greater than interval between birth and succeeding birth</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Greater than interval between birth and date of interview by only 1 month</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>During pregnancy in calendar</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPAMFLAG_04" name="W_PPAMFLAG_04" files="W" intrvl="discrete">
  <labl>Flag variable for postpartum amenorrhea (fourth to last birth)</labl>
  <imputation>Flag variable for postpartum amenorrhea (fourth to last birth)</imputation>
  <security>Flag variable for postpartum amenorrhea (fourth to last birth)</security>
  <embargo>Flag variable for postpartum amenorrhea (fourth to last birth)</embargo>
  <respUnit>Flag variable for postpartum amenorrhea (fourth to last birth)</respUnit>
  <catgry>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Greater than interval between birth and succeeding birth</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Greater than interval between birth and date of interview by only 1 month</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>During pregnancy in calendar</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPAMFLAG_05" name="W_PPAMFLAG_05" files="W" intrvl="discrete">
  <labl>Flag variable for postpartum amenorrhea (fifth to last birth)</labl>
  <imputation>Flag variable for postpartum amenorrhea (fifth to last birth)</imputation>
  <security>Flag variable for postpartum amenorrhea (fifth to last birth)</security>
  <embargo>Flag variable for postpartum amenorrhea (fifth to last birth)</embargo>
  <respUnit>Flag variable for postpartum amenorrhea (fifth to last birth)</respUnit>
  <catgry>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Greater than interval between birth and succeeding birth</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Greater than interval between birth and date of interview by only 1 month</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>During pregnancy in calendar</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPAMFLAG_06" name="W_PPAMFLAG_06" files="W" intrvl="discrete">
  <labl>Flag variable for postpartum amenorrhea (sixth to last birth)</labl>
  <imputation>Flag variable for postpartum amenorrhea (sixth to last birth)</imputation>
  <security>Flag variable for postpartum amenorrhea (sixth to last birth)</security>
  <embargo>Flag variable for postpartum amenorrhea (sixth to last birth)</embargo>
  <respUnit>Flag variable for postpartum amenorrhea (sixth to last birth)</respUnit>
  <catgry>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Greater than interval between birth and succeeding birth</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Greater than interval between birth and date of interview by only 1 month</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>During pregnancy in calendar</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPABMO_ALL" name="W_PPABMO_ALL" files="W" intrvl="discrete">
  <labl>Duration of postpartum abstinence (in months)</labl>
  <imputation>Duration of postpartum abstinence (in months)</imputation>
  <security>Duration of postpartum abstinence (in months)</security>
  <embargo>Duration of postpartum abstinence (in months)</embargo>
  <respUnit>Duration of postpartum abstinence (in months)</respUnit>
  <qstn>
    <qstnLit>423) For how many months after the birth of (NAME) did you not have sexual relations?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>PPABMO_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, PPABMO_ALL (M8_x) indicates the duration, in months, of postpartum abstinence.  Women who were still abstaining at the time of interview were excluded from PPABMO_ALL, but they are included in the similar variable PPABMOC_ALL. 

According to the DHS Recode Manuals, the maximum period allowed during the data editing was the interval between the date of birth of the child and the date of conception of the following child (with date of birth minus nine months used for the date of conception) or until the date of interview if there was no following birth. Cases exceeding this duration were left with the original response, but are coded with one of the flag codes on PPABFLAG_ALL and are coded as "Inconsistent" on PPABMOC_ALL. 

PPABMO_ALL consists of a set of six separate variables, covering the most recent birth (PPABMO_01) up to the sixth-most-recent birth (i.e., PPABMO_02, PPABMO_03, PPABMO_04, PPABMO_05, and PPABMO_06) during the reference period prior to the survey.  If PPABMO_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then PPABMO_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPABMO_01" name="W_PPABMO_01" files="W" intrvl="discrete">
  <labl>Duration of postpartum abstinence (in months) (last birth)</labl>
  <imputation>Duration of postpartum abstinence (in months) (last birth)</imputation>
  <security>Duration of postpartum abstinence (in months) (last birth)</security>
  <embargo>Duration of postpartum abstinence (in months) (last birth)</embargo>
  <respUnit>Duration of postpartum abstinence (in months) (last birth)</respUnit>
  <qstn>
    <qstnLit>423) For how many months after the birth of (NAME) did you not have sexual relations?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Still abstaining</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>See PPABMO_ALL.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPABMO_02" name="W_PPABMO_02" files="W" intrvl="discrete">
  <labl>Duration of postpartum abstinence (in months) (second to last birth)</labl>
  <imputation>Duration of postpartum abstinence (in months) (second to last birth)</imputation>
  <security>Duration of postpartum abstinence (in months) (second to last birth)</security>
  <embargo>Duration of postpartum abstinence (in months) (second to last birth)</embargo>
  <respUnit>Duration of postpartum abstinence (in months) (second to last birth)</respUnit>
  <qstn>
    <qstnLit>423) For how many months after the birth of (NAME) did you not have sexual relations?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Still abstaining</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPABMO_03" name="W_PPABMO_03" files="W" intrvl="discrete">
  <labl>Duration of postpartum abstinence (in months) (third to last birth)</labl>
  <imputation>Duration of postpartum abstinence (in months) (third to last birth)</imputation>
  <security>Duration of postpartum abstinence (in months) (third to last birth)</security>
  <embargo>Duration of postpartum abstinence (in months) (third to last birth)</embargo>
  <respUnit>Duration of postpartum abstinence (in months) (third to last birth)</respUnit>
  <qstn>
    <qstnLit>423) For how many months after the birth of (NAME) did you not have sexual relations?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Still abstaining</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPABMO_04" name="W_PPABMO_04" files="W" intrvl="discrete">
  <labl>Duration of postpartum abstinence (in months) (fourth to last birth)</labl>
  <imputation>Duration of postpartum abstinence (in months) (fourth to last birth)</imputation>
  <security>Duration of postpartum abstinence (in months) (fourth to last birth)</security>
  <embargo>Duration of postpartum abstinence (in months) (fourth to last birth)</embargo>
  <respUnit>Duration of postpartum abstinence (in months) (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>423) For how many months after the birth of (NAME) did you not have sexual relations?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Still abstaining</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPABMO_05" name="W_PPABMO_05" files="W" intrvl="discrete">
  <labl>Duration of postpartum abstinence (in months) (fifth to last birth)</labl>
  <imputation>Duration of postpartum abstinence (in months) (fifth to last birth)</imputation>
  <security>Duration of postpartum abstinence (in months) (fifth to last birth)</security>
  <embargo>Duration of postpartum abstinence (in months) (fifth to last birth)</embargo>
  <respUnit>Duration of postpartum abstinence (in months) (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>423) For how many months after the birth of (NAME) did you not have sexual relations?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Still abstaining</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPABMO_06" name="W_PPABMO_06" files="W" intrvl="discrete">
  <labl>Duration of postpartum abstinence (in months) (sixth to last birth)</labl>
  <imputation>Duration of postpartum abstinence (in months) (sixth to last birth)</imputation>
  <security>Duration of postpartum abstinence (in months) (sixth to last birth)</security>
  <embargo>Duration of postpartum abstinence (in months) (sixth to last birth)</embargo>
  <respUnit>Duration of postpartum abstinence (in months) (sixth to last birth)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Still abstaining</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPABMOC_ALL" name="W_PPABMOC_ALL" files="W" intrvl="discrete">
  <labl>Months of postpartum abstinence (including women still abstaining)</labl>
  <imputation>Months of postpartum abstinence (including women still abstaining)</imputation>
  <security>Months of postpartum abstinence (including women still abstaining)</security>
  <embargo>Months of postpartum abstinence (including women still abstaining)</embargo>
  <respUnit>Months of postpartum abstinence (including women still abstaining)</respUnit>
  <qstn>
    <qstnLit>423) For how many months after the birth of (NAME) did you not have sexual relations?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>PPABMOC_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, PPABMOC_ALL (M9_x) reports their calculated months of postpartum abstinence, including the duration for women who were still abstaining at the time of the interview.  The similar variable PPABMO_ALL also reports the calculated months of postpartum abstinence but excludes women who were still abstaining when interviewed.

According to the DHS Recode Manuals, the maximum period allowed during the data editing was the interval between the date of birth of the child and the date of conception of the following child (with date of birth minus nine months used for the date of conception) or until the date of interview if there was no following birth. Cases exceeding this duration are coded with one of the flag codes on PPABFLAG_ALL and are coded as "Inconsistent" in PPABMOC_ALL.

PPABMOC_ALL consists of a set of six separate variables, covering the most recent birth (PPABMOC_01) up to the sixth-most-recent birth (i.e., PPABMOC_02, PPABMOC_03, PPABMOC_04, PPABMOC_05, and PPABMOC_06) during the reference period prior to the survey.  If PPABMOC_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then PPABMOC_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPABMOC_01" name="W_PPABMOC_01" files="W" intrvl="discrete">
  <labl>Months of postpartum abstinence (including women still abstaining) (last birth)</labl>
  <imputation>Months of postpartum abstinence (including women still abstaining) (last birth)</imputation>
  <security>Months of postpartum abstinence (including women still abstaining) (last birth)</security>
  <embargo>Months of postpartum abstinence (including women still abstaining) (last birth)</embargo>
  <respUnit>Months of postpartum abstinence (including women still abstaining) (last birth)</respUnit>
  <qstn>
    <qstnLit>423) For how many months after the birth of (NAME) did you not have sexual relations?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, PPABMOC_01 (M9_1) reports their calculated months of postpartum abstinence (after the last birth), including the duration for women who were still abstaining at the time of the interview.  The similar variable PPABMO_01 also reports the calculated months of postpartum abstinence but excludes women who were still abstaining when interviewed.

According to the DHS Recode Manuals, the maximum period allowed during the data editing was the interval between the date of birth of the child and the date of conception of the following child (with date of birth minus nine months used for the date of conception) or until the date of interview if there was no following birth. Cases exceeding this duration are coded with one of the flag codes on PPABFLAG_01 and are coded as "Inconsistent" in PPABMOC_01.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPABMOC_02" name="W_PPABMOC_02" files="W" intrvl="discrete">
  <labl>Months of postpartum abstinence (including women still abstaining) (second to last birth)</labl>
  <imputation>Months of postpartum abstinence (including women still abstaining) (second to last birth)</imputation>
  <security>Months of postpartum abstinence (including women still abstaining) (second to last birth)</security>
  <embargo>Months of postpartum abstinence (including women still abstaining) (second to last birth)</embargo>
  <respUnit>Months of postpartum abstinence (including women still abstaining) (second to last birth)</respUnit>
  <qstn>
    <qstnLit>423) For how many months after the birth of (NAME) did you not have sexual relations?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPABMOC_03" name="W_PPABMOC_03" files="W" intrvl="discrete">
  <labl>Months of postpartum abstinence (including women still abstaining) (third to last birth)</labl>
  <imputation>Months of postpartum abstinence (including women still abstaining) (third to last birth)</imputation>
  <security>Months of postpartum abstinence (including women still abstaining) (third to last birth)</security>
  <embargo>Months of postpartum abstinence (including women still abstaining) (third to last birth)</embargo>
  <respUnit>Months of postpartum abstinence (including women still abstaining) (third to last birth)</respUnit>
  <qstn>
    <qstnLit>423) For how many months after the birth of (NAME) did you not have sexual relations?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPABMOC_04" name="W_PPABMOC_04" files="W" intrvl="discrete">
  <labl>Months of postpartum abstinence (including women still abstaining) (fourth to last birth)</labl>
  <imputation>Months of postpartum abstinence (including women still abstaining) (fourth to last birth)</imputation>
  <security>Months of postpartum abstinence (including women still abstaining) (fourth to last birth)</security>
  <embargo>Months of postpartum abstinence (including women still abstaining) (fourth to last birth)</embargo>
  <respUnit>Months of postpartum abstinence (including women still abstaining) (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>423) For how many months after the birth of (NAME) did you not have sexual relations?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPABMOC_05" name="W_PPABMOC_05" files="W" intrvl="discrete">
  <labl>Months of postpartum abstinence (including women still abstaining) (fifth to last birth)</labl>
  <imputation>Months of postpartum abstinence (including women still abstaining) (fifth to last birth)</imputation>
  <security>Months of postpartum abstinence (including women still abstaining) (fifth to last birth)</security>
  <embargo>Months of postpartum abstinence (including women still abstaining) (fifth to last birth)</embargo>
  <respUnit>Months of postpartum abstinence (including women still abstaining) (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>423) For how many months after the birth of (NAME) did you not have sexual relations?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPABMOC_06" name="W_PPABMOC_06" files="W" intrvl="discrete">
  <labl>Months of postpartum abstinence (including women still abstaining) (sixth to last birth)</labl>
  <imputation>Months of postpartum abstinence (including women still abstaining) (sixth to last birth)</imputation>
  <security>Months of postpartum abstinence (including women still abstaining) (sixth to last birth)</security>
  <embargo>Months of postpartum abstinence (including women still abstaining) (sixth to last birth)</embargo>
  <respUnit>Months of postpartum abstinence (including women still abstaining) (sixth to last birth)</respUnit>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPABFLAG_ALL" name="W_PPABFLAG_ALL" files="W" intrvl="discrete">
  <labl>Flag variable for postpartum abstinence</labl>
  <imputation>Flag variable for postpartum abstinence</imputation>
  <security>Flag variable for postpartum abstinence</security>
  <embargo>Flag variable for postpartum abstinence</embargo>
  <respUnit>Flag variable for postpartum abstinence</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>PPABFLAG_ALL available</labl>
  </catgry>
  <txt>PPABFLAG_ALL (M29_x) is a flag variable reporting the type of problem found when editing responses about the duration of postpartum abstinence (in PPABMO_ALL), for women who had resumed sexual relations after a birth in the past three to five years.  A code of 0 indicates no problem with the original response.

PPABFLAG_ALL consists of a set of six separate variables, covering the most recent birth (PPABFLAG_01) up to the sixth-most-recent birth (i.e., PPABFLAG_02, PPABFLAG_03, PPABFLAG_04, PPABFLAG_05, and PPABFLAG_06) during the reference period prior to the survey.  If PPAMFLAG_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then PPABFLAG_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPABFLAG_01" name="W_PPABFLAG_01" files="W" intrvl="discrete">
  <labl>Flag variable for postpartum abstinence (last birth)</labl>
  <imputation>Flag variable for postpartum abstinence (last birth)</imputation>
  <security>Flag variable for postpartum abstinence (last birth)</security>
  <embargo>Flag variable for postpartum abstinence (last birth)</embargo>
  <respUnit>Flag variable for postpartum abstinence (last birth)</respUnit>
  <catgry>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Greater than interval between birth and succeeding birth</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Greater than interval between birth and date of interview by only 1 month</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>During pregnancy in calendar</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>PPABFLAG_01 (M29_1) is a flag variable reporting the type of problem found when editing responses about the duration of postpartum abstinence (in PPABMO_01), for women who had resumed sexual relations after their last birth in the past three to five years.  A code of 0 indicates no problem with the original response.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPABFLAG_02" name="W_PPABFLAG_02" files="W" intrvl="discrete">
  <labl>Flag variable for postpartum abstinence (second to last birth)</labl>
  <imputation>Flag variable for postpartum abstinence (second to last birth)</imputation>
  <security>Flag variable for postpartum abstinence (second to last birth)</security>
  <embargo>Flag variable for postpartum abstinence (second to last birth)</embargo>
  <respUnit>Flag variable for postpartum abstinence (second to last birth)</respUnit>
  <catgry>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Greater than interval between birth and succeeding birth</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Greater than interval between birth and date of interview by only 1 month</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>During pregnancy in calendar</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPABFLAG_03" name="W_PPABFLAG_03" files="W" intrvl="discrete">
  <labl>Flag variable for postpartum abstinence (third to last birth)</labl>
  <imputation>Flag variable for postpartum abstinence (third to last birth)</imputation>
  <security>Flag variable for postpartum abstinence (third to last birth)</security>
  <embargo>Flag variable for postpartum abstinence (third to last birth)</embargo>
  <respUnit>Flag variable for postpartum abstinence (third to last birth)</respUnit>
  <catgry>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Greater than interval between birth and succeeding birth</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Greater than interval between birth and date of interview by only 1 month</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>During pregnancy in calendar</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPABFLAG_04" name="W_PPABFLAG_04" files="W" intrvl="discrete">
  <labl>Flag variable for postpartum abstinence (fourth to last birth)</labl>
  <imputation>Flag variable for postpartum abstinence (fourth to last birth)</imputation>
  <security>Flag variable for postpartum abstinence (fourth to last birth)</security>
  <embargo>Flag variable for postpartum abstinence (fourth to last birth)</embargo>
  <respUnit>Flag variable for postpartum abstinence (fourth to last birth)</respUnit>
  <catgry>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Greater than interval between birth and succeeding birth</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Greater than interval between birth and date of interview by only 1 month</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>During pregnancy in calendar</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPABFLAG_05" name="W_PPABFLAG_05" files="W" intrvl="discrete">
  <labl>Flag variable for postpartum abstinence (fifth to last birth)</labl>
  <imputation>Flag variable for postpartum abstinence (fifth to last birth)</imputation>
  <security>Flag variable for postpartum abstinence (fifth to last birth)</security>
  <embargo>Flag variable for postpartum abstinence (fifth to last birth)</embargo>
  <respUnit>Flag variable for postpartum abstinence (fifth to last birth)</respUnit>
  <catgry>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Greater than interval between birth and succeeding birth</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Greater than interval between birth and date of interview by only 1 month</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>During pregnancy in calendar</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PPABFLAG_06" name="W_PPABFLAG_06" files="W" intrvl="discrete">
  <labl>Flag variable for postpartum abstinence (sixth to last birth)</labl>
  <imputation>Flag variable for postpartum abstinence (sixth to last birth)</imputation>
  <security>Flag variable for postpartum abstinence (sixth to last birth)</security>
  <embargo>Flag variable for postpartum abstinence (sixth to last birth)</embargo>
  <respUnit>Flag variable for postpartum abstinence (sixth to last birth)</respUnit>
  <catgry>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Greater than interval between birth and succeeding birth</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Greater than interval between birth and date of interview by only 1 month</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>During pregnancy in calendar</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_IDEALPOSTPT" name="W_IDEALPOSTPT" files="W" intrvl="discrete">
  <labl>Ideal period for post-partum abstinence</labl>
  <imputation>Ideal period for post-partum abstinence</imputation>
  <security>Ideal period for post-partum abstinence</security>
  <embargo>Ideal period for post-partum abstinence</embargo>
  <respUnit>Ideal period for post-partum abstinence</respUnit>
  <qstn>
    <qstnLit>614) After childbirth, how much time should couples wait before starting to have sexual relations again?

MONTHS: ___ 1
YEARS: ___ 2
OTHER (SPECIFY): ___ 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>079</catValu>
    <labl>79 days</labl>
  </catgry>
  <catgry>
    <catValu>078</catValu>
    <labl>78 days</labl>
  </catgry>
  <catgry>
    <catValu>077</catValu>
    <labl>77 days</labl>
  </catgry>
  <catgry>
    <catValu>076</catValu>
    <labl>76 days</labl>
  </catgry>
  <catgry>
    <catValu>075</catValu>
    <labl>75 days</labl>
  </catgry>
  <catgry>
    <catValu>074</catValu>
    <labl>74 days</labl>
  </catgry>
  <catgry>
    <catValu>073</catValu>
    <labl>73 days</labl>
  </catgry>
  <catgry>
    <catValu>072</catValu>
    <labl>72 days</labl>
  </catgry>
  <catgry>
    <catValu>071</catValu>
    <labl>71 days</labl>
  </catgry>
  <catgry>
    <catValu>070</catValu>
    <labl>70 days</labl>
  </catgry>
  <catgry>
    <catValu>069</catValu>
    <labl>69 days</labl>
  </catgry>
  <catgry>
    <catValu>068</catValu>
    <labl>68 days</labl>
  </catgry>
  <catgry>
    <catValu>067</catValu>
    <labl>67 days</labl>
  </catgry>
  <catgry>
    <catValu>066</catValu>
    <labl>66 days</labl>
  </catgry>
  <catgry>
    <catValu>065</catValu>
    <labl>65 days</labl>
  </catgry>
  <catgry>
    <catValu>064</catValu>
    <labl>64 days</labl>
  </catgry>
  <catgry>
    <catValu>063</catValu>
    <labl>63 days</labl>
  </catgry>
  <catgry>
    <catValu>062</catValu>
    <labl>62 days</labl>
  </catgry>
  <catgry>
    <catValu>061</catValu>
    <labl>61 days</labl>
  </catgry>
  <catgry>
    <catValu>000</catValu>
    <labl>Less than one day</labl>
  </catgry>
  <catgry>
    <catValu>001</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>002</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>003</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>004</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>005</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>006</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>007</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>008</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>009</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>010</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>011</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>012</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>013</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>014</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>015</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>016</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>017</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>018</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>019</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>020</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>021</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>022</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>023</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>024</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>025</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>026</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>027</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>028</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>029</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>030</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>031</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>032</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>033</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>034</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>035</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>036</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>037</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>038</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>039</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>040</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>041</catValu>
    <labl>41 days</labl>
  </catgry>
  <catgry>
    <catValu>042</catValu>
    <labl>42 days</labl>
  </catgry>
  <catgry>
    <catValu>043</catValu>
    <labl>43 days</labl>
  </catgry>
  <catgry>
    <catValu>044</catValu>
    <labl>44 days</labl>
  </catgry>
  <catgry>
    <catValu>045</catValu>
    <labl>45 days</labl>
  </catgry>
  <catgry>
    <catValu>046</catValu>
    <labl>46 days</labl>
  </catgry>
  <catgry>
    <catValu>047</catValu>
    <labl>47 days</labl>
  </catgry>
  <catgry>
    <catValu>048</catValu>
    <labl>48 days</labl>
  </catgry>
  <catgry>
    <catValu>049</catValu>
    <labl>49 days</labl>
  </catgry>
  <catgry>
    <catValu>050</catValu>
    <labl>50 days</labl>
  </catgry>
  <catgry>
    <catValu>051</catValu>
    <labl>51 days</labl>
  </catgry>
  <catgry>
    <catValu>052</catValu>
    <labl>52 days</labl>
  </catgry>
  <catgry>
    <catValu>053</catValu>
    <labl>53 days</labl>
  </catgry>
  <catgry>
    <catValu>054</catValu>
    <labl>54 days</labl>
  </catgry>
  <catgry>
    <catValu>055</catValu>
    <labl>55 days</labl>
  </catgry>
  <catgry>
    <catValu>056</catValu>
    <labl>56 days</labl>
  </catgry>
  <catgry>
    <catValu>057</catValu>
    <labl>57 days</labl>
  </catgry>
  <catgry>
    <catValu>058</catValu>
    <labl>58 days</labl>
  </catgry>
  <catgry>
    <catValu>059</catValu>
    <labl>59 days</labl>
  </catgry>
  <catgry>
    <catValu>060</catValu>
    <labl>60 days</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than one month</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67 months</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68 months</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69 months</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70 months</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71 months</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72 months</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73 months</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74 months</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75 months</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76 months</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77 months</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78 months</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79 months</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80 months</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81 months</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82 months</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83 months</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84 months</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85 months</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86 months</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87 months</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88 months</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89 months</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90 months</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>91 months</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>92 months</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>93 months</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>94 months</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>95 months</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>96 months</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>97 months</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>98 months</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Months, unspecified number</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than one year</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35+ years</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Years, unspecified number</labl>
  </catgry>
  <catgry>
    <catValu>992</catValu>
    <labl>Up to couple</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>After weaning</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>After period returns</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Non-numeric response</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>080</catValu>
    <labl>80 days</labl>
  </catgry>
  <catgry>
    <catValu>081</catValu>
    <labl>81 days</labl>
  </catgry>
  <catgry>
    <catValu>082</catValu>
    <labl>82 days</labl>
  </catgry>
  <catgry>
    <catValu>083</catValu>
    <labl>83 days</labl>
  </catgry>
  <catgry>
    <catValu>084</catValu>
    <labl>84 days</labl>
  </catgry>
  <catgry>
    <catValu>085</catValu>
    <labl>85 days</labl>
  </catgry>
  <catgry>
    <catValu>086</catValu>
    <labl>86 days</labl>
  </catgry>
  <catgry>
    <catValu>087</catValu>
    <labl>87 days</labl>
  </catgry>
  <catgry>
    <catValu>088</catValu>
    <labl>88 days</labl>
  </catgry>
  <catgry>
    <catValu>089</catValu>
    <labl>89 days</labl>
  </catgry>
  <catgry>
    <catValu>090</catValu>
    <labl>90 days</labl>
  </catgry>
  <txt>IDEALPOSTPT (V608) reports what the woman thinks is the ideal duration for a couple to wait before starting sexual relations after the birth of a child.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_IDEALPOSTPT2" name="W_IDEALPOSTPT2" files="W" intrvl="discrete">
  <labl>Ideal period for post-partum abstinence (months and years only)</labl>
  <imputation>Ideal period for post-partum abstinence (months and years only)</imputation>
  <security>Ideal period for post-partum abstinence (months and years only)</security>
  <embargo>Ideal period for post-partum abstinence (months and years only)</embargo>
  <respUnit>Ideal period for post-partum abstinence (months and years only)</respUnit>
  <qstn>
    <qstnLit>614) After childbirth, how much time should couples wait before starting to have sexual relations again?

MONTHS: ___ 1
YEARS: ___ 2
OTHER (SPECIFY): ___ 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than one month</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67 months</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68 months</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69 months</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70 months</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71 months</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72 months</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73 months</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74 months</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75 months</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76 months</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77 months</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78 months</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79 months</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80 months</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81 months</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82 months</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83 months</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84 months</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85 months</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86 months</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87 months</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88 months</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89 months</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90 months</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>91 months</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>92 months</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>93 months</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>94 months</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>95 months</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>96 months</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>97 months</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>98 months</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Months, unspecified number</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than one year</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35+ years</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Years, unspecified number</labl>
  </catgry>
  <catgry>
    <catValu>992</catValu>
    <labl>Up to couple</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>After weaning</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>After period returns</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Non-numeric response</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>IDEALPOSTPT2 reports what the woman thinks is the ideal duration for a couple to wait before starting sexual relations after the birth of a child. Responses are given in month or year units; the complementary variable IDEALPOSTPT preserves the detailed responses given in days for a minority of samples.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_SEXBRSTFD" name="W_SEXBRSTFD" files="W" intrvl="discrete">
  <labl>Alright to have sex while breastfeeding</labl>
  <imputation>Alright to have sex while breastfeeding</imputation>
  <security>Alright to have sex while breastfeeding</security>
  <embargo>Alright to have sex while breastfeeding</embargo>
  <respUnit>Alright to have sex while breastfeeding</respUnit>
  <qstn>
    <qstnLit>615) Should a mother wait until she has completely stopped breastfeeding before starting to have sexual relations again, or doesn't it matter?

WAIT 1
DOESN'T MATTER 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Wait</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Doesn't matter</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>SEXBRSTFD (V609) indicates whether the woman thinks mothers should wait until they have stopped breastfeeding before resuming sexual relations after the birth of a child.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_MATERNITYIDX" name="W_MATERNITYIDX" files="W" intrvl="discrete">
  <labl>Number of children in maternity history</labl>
  <imputation>Number of children in maternity history</imputation>
  <security>Number of children in maternity history</security>
  <embargo>Number of children in maternity history</embargo>
  <respUnit>Number of children in maternity history</respUnit>
  <qstn>
    <qstnLit>402) ENTER THE LINE NUMBER, NAME, AND SURVIVAL STATUS OF EACH BIRTH SINCE JANUARY 1987 IN THE TABLE.

ASK THE QUESTIONS OF ALL THESE BIRTHS, BEGINNING WITH THE LAST BIRTH.

Now I would like to ask you some more questions about the health of all of the children you have had in the past 5 years. We will talk about one child at a time.

LINE NUMBER FROM QUESTION 212: ___

FROM QUESTION 212 AND QUESTION 216:

NAME: ___

LIVING: ___ (GO TO 403)
DECEASED: ___ (GO TO 403)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6</labl>
  </catgry>
  <txt>MATERNITYIDX (V417) reports the number of entries in the pregnancy and postnatal care history for a female respondent. This number is typically equal to the number of births in the three (BIRTHSTOT3YR (V238)) or five (BIRTHSIN5YRS (V208) years before the survey. While there is, theoretically, no limit to the number of births recorded in BIRTHSTOT3YR and BIRTHSIN5YRS, MATERNITYIDX is actually limited to the number of columns that can be completed on the survey form. In most cases, MATERNITYIDX is capped at six.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_HEALTHIDX" name="W_HEALTHIDX" files="W" intrvl="discrete">
  <labl>Number of children in immunization/health history</labl>
  <imputation>Number of children in immunization/health history</imputation>
  <security>Number of children in immunization/health history</security>
  <embargo>Number of children in immunization/health history</embargo>
  <respUnit>Number of children in immunization/health history</respUnit>
  <qstn>
    <qstnLit>441) ENTER THE LINE NUMBER AND NAME OF EACH BIRTH SINCE JANUARY 1987 IN THE TABLE. ASK THE QUESTIONS ABOUT ALL OF THESE BIRTHS. BEGIN WITH THE LAST BIRTH (IF THERE ARE MORE THAN 3 BIRTHS, USE ADDITIONAL FORMS).

LINE NUMBER FROM QUESTION 212: ___

FROM QUESTION 212 AND QUESTION 216:

NAME: ___

LIVING: ___
DECEASED: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6</labl>
  </catgry>
  <txt>HEALTHIDX (V418) reports the number of entries (number of children) in the health or immunization history. This number is typically equal to the number of births in the three (BIRTHSTOT3YR (V238)) or five (BIRTHSIN5YRS (V208) years before the survey. While there is, theoretically, no limit to the number of births recorded in BIRTHSTOT3YR and BIRTHSIN5YRS, HEALTHIDX is actually limited to the number of columns that can be completed on the survey form. In most cases, HEALTHIDX is capped at six.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIOIDX" name="W_BIOIDX" files="W" intrvl="discrete">
  <labl>Number of children in height and weight table</labl>
  <imputation>Number of children in height and weight table</imputation>
  <security>Number of children in height and weight table</security>
  <embargo>Number of children in height and weight table</embargo>
  <respUnit>Number of children in height and weight table</respUnit>
  <qstn>
    <qstnLit>902) LINE NUMBER FROM QUESTION 212:

LINE NUMBER: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6</labl>
  </catgry>
  <txt>BIOIDX (V419) reports the number of entries (number of children) in the height and weight table. This number is typically equal to the number of births in the three (BIRTHSTOT3YR (V238)) or five (BIRTHSIN5YRS (V208) years before the survey. While there is, theoretically, no limit to the number of births recorded in BIRTHSTOT3YR and BIRTHSIN5YRS, BIOIDX is actually limited to the number of columns on the survey form that can be completed. In most cases, BIOIDX is capped at six.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FEDNOTBRSMILK_ALL" name="W_FEDNOTBRSMILK_ALL" files="W" intrvl="discrete">
  <labl>Child ever given anything other than breastmilk</labl>
  <imputation>Child ever given anything other than breastmilk</imputation>
  <security>Child ever given anything other than breastmilk</security>
  <embargo>Child ever given anything other than breastmilk</embargo>
  <respUnit>Child ever given anything other than breastmilk</respUnit>
  <qstn>
    <qstnLit>436) Was (NAME) ever given water or anything else to drink or eat other than breast milk?

YES 1
NO 2 (GO TO 440)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>FEDNOTBRSMILK_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, FEDNOTBRSMILK_ALL (M22_x) indicates whether her child was ever given water or anything else to eat or drink, other than breastmilk. Living children who are no longer breastfeeding are assumed to have been given food other than breastmilk.

FEDNOTBRSMILK_ALL consists of a set of six separate variables, covering the most recent birth (FEDNOTBRSMILK_01) up to the sixth-most-recent birth (i.e., FEDNOTBRSMILK_02, FEDNOTBRSMILK_03, FEDNOTBRSMILK_04, FEDNOTBRSMILK_05, and FEDNOTBRSMILK_06) during the reference period prior to the survey.  If FEDNOTBRSMILK_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then FEDNOTBRSMILK_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FEDNOTBRSMILK_01" name="W_FEDNOTBRSMILK_01" files="W" intrvl="discrete">
  <labl>Child ever given anything other than breastmilk (last birth)</labl>
  <imputation>Child ever given anything other than breastmilk (last birth)</imputation>
  <security>Child ever given anything other than breastmilk (last birth)</security>
  <embargo>Child ever given anything other than breastmilk (last birth)</embargo>
  <respUnit>Child ever given anything other than breastmilk (last birth)</respUnit>
  <qstn>
    <qstnLit>436) Was (NAME) ever given water or anything else to drink or eat other than breast milk?

YES 1
NO 2 (GO TO 440)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, FEDNOTBRSMILK_01 (M22_1) indicates whether her child was ever given water or anything else to eat or drink, other than breastmilk (for the last birth). Living children who are no longer breastfeeding are assumed to have been given food other than breastmilk.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FEDNOTBRSMILK_02" name="W_FEDNOTBRSMILK_02" files="W" intrvl="discrete">
  <labl>Child ever given anything other than breastmilk (second to last birth)</labl>
  <imputation>Child ever given anything other than breastmilk (second to last birth)</imputation>
  <security>Child ever given anything other than breastmilk (second to last birth)</security>
  <embargo>Child ever given anything other than breastmilk (second to last birth)</embargo>
  <respUnit>Child ever given anything other than breastmilk (second to last birth)</respUnit>
  <qstn>
    <qstnLit>436) Was (NAME) ever given water or anything else to drink or eat other than breast milk?

YES 1
NO 2 (GO TO 440)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FEDNOTBRSMILK_03" name="W_FEDNOTBRSMILK_03" files="W" intrvl="discrete">
  <labl>Child ever given anything other than breastmilk (third to last birth)</labl>
  <imputation>Child ever given anything other than breastmilk (third to last birth)</imputation>
  <security>Child ever given anything other than breastmilk (third to last birth)</security>
  <embargo>Child ever given anything other than breastmilk (third to last birth)</embargo>
  <respUnit>Child ever given anything other than breastmilk (third to last birth)</respUnit>
  <qstn>
    <qstnLit>436) Was (NAME) ever given water or anything else to drink or eat other than breast milk?

YES 1
NO 2 (GO TO 440)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FEDNOTBRSMILK_04" name="W_FEDNOTBRSMILK_04" files="W" intrvl="discrete">
  <labl>Child ever given anything other than breastmilk (fourth to last birth)</labl>
  <imputation>Child ever given anything other than breastmilk (fourth to last birth)</imputation>
  <security>Child ever given anything other than breastmilk (fourth to last birth)</security>
  <embargo>Child ever given anything other than breastmilk (fourth to last birth)</embargo>
  <respUnit>Child ever given anything other than breastmilk (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>436) Was (NAME) ever given water or anything else to drink or eat other than breast milk?

YES 1
NO 2 (GO TO 440)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FEDNOTBRSMILK_05" name="W_FEDNOTBRSMILK_05" files="W" intrvl="discrete">
  <labl>Child ever given anything other than breastmilk (fifth to last birth)</labl>
  <imputation>Child ever given anything other than breastmilk (fifth to last birth)</imputation>
  <security>Child ever given anything other than breastmilk (fifth to last birth)</security>
  <embargo>Child ever given anything other than breastmilk (fifth to last birth)</embargo>
  <respUnit>Child ever given anything other than breastmilk (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>436) Was (NAME) ever given water or anything else to drink or eat other than breast milk?

YES 1
NO 2 (GO TO 440)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_FEDNOTBRSMILK_06" name="W_FEDNOTBRSMILK_06" files="W" intrvl="discrete">
  <labl>Child ever given anything other than breastmilk (sixth to last birth)</labl>
  <imputation>Child ever given anything other than breastmilk (sixth to last birth)</imputation>
  <security>Child ever given anything other than breastmilk (sixth to last birth)</security>
  <embargo>Child ever given anything other than breastmilk (sixth to last birth)</embargo>
  <respUnit>Child ever given anything other than breastmilk (sixth to last birth)</respUnit>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGEWATER_ALL" name="W_AGEWATER_ALL" files="W" intrvl="discrete">
  <labl>Age (in months) for plain water</labl>
  <imputation>Age (in months) for plain water</imputation>
  <security>Age (in months) for plain water</security>
  <embargo>Age (in months) for plain water</embargo>
  <respUnit>Age (in months) for plain water</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>AGEWATER_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, AGEWATER_ALL (M24_x) reports the age, in months, at which the child was first given water on a regular basis.

AGEWATER_ALL consists of a set of up to six separate variables, covering the most recent birth (AGEWATER_01) up to, potentially, the sixth-most-recent birth (i.e., AGEWATER_02, AGEWATER_03, AGEWATER_04,  AGEWATER_05, and AGEWATER_06) during the reference period prior to the survey. If AGEWATER_ALL is included in a data extract, all these separate variables are included in a researcher's data file. 

The information in AGEWATER_ALL was collected for all births within the reference period preceding the survey. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then AGEWATER_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGEWATER_01" name="W_AGEWATER_01" files="W" intrvl="discrete">
  <labl>Age (in months) for plain water (last birth)</labl>
  <imputation>Age (in months) for plain water (last birth)</imputation>
  <security>Age (in months) for plain water (last birth)</security>
  <embargo>Age (in months) for plain water (last birth)</embargo>
  <respUnit>Age (in months) for plain water (last birth)</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>less than one month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <txt>See AGEWATER_ALL.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGEWATER_02" name="W_AGEWATER_02" files="W" intrvl="discrete">
  <labl>Age (in months) for plain water (second to last birth)</labl>
  <imputation>Age (in months) for plain water (second to last birth)</imputation>
  <security>Age (in months) for plain water (second to last birth)</security>
  <embargo>Age (in months) for plain water (second to last birth)</embargo>
  <respUnit>Age (in months) for plain water (second to last birth)</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>less than one month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGEWATER_03" name="W_AGEWATER_03" files="W" intrvl="discrete">
  <labl>Age (in months) for plain water (third to last birth)</labl>
  <imputation>Age (in months) for plain water (third to last birth)</imputation>
  <security>Age (in months) for plain water (third to last birth)</security>
  <embargo>Age (in months) for plain water (third to last birth)</embargo>
  <respUnit>Age (in months) for plain water (third to last birth)</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>less than one month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGEWATER_04" name="W_AGEWATER_04" files="W" intrvl="discrete">
  <labl>Age (in months) for plain water (fourth to last birth)</labl>
  <imputation>Age (in months) for plain water (fourth to last birth)</imputation>
  <security>Age (in months) for plain water (fourth to last birth)</security>
  <embargo>Age (in months) for plain water (fourth to last birth)</embargo>
  <respUnit>Age (in months) for plain water (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>less than one month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGEWATER_05" name="W_AGEWATER_05" files="W" intrvl="discrete">
  <labl>Age (in months) for plain water (fifth to last birth)</labl>
  <imputation>Age (in months) for plain water (fifth to last birth)</imputation>
  <security>Age (in months) for plain water (fifth to last birth)</security>
  <embargo>Age (in months) for plain water (fifth to last birth)</embargo>
  <respUnit>Age (in months) for plain water (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>less than one month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGEWATER_06" name="W_AGEWATER_06" files="W" intrvl="discrete">
  <labl>Age (in months) for plain water (sixth to last birth)</labl>
  <imputation>Age (in months) for plain water (sixth to last birth)</imputation>
  <security>Age (in months) for plain water (sixth to last birth)</security>
  <embargo>Age (in months) for plain water (sixth to last birth)</embargo>
  <respUnit>Age (in months) for plain water (sixth to last birth)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>less than one month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGEFORM_ALL" name="W_AGEFORM_ALL" files="W" intrvl="discrete">
  <labl>Age (in months) for formula or other milk</labl>
  <imputation>Age (in months) for formula or other milk</imputation>
  <security>Age (in months) for formula or other milk</security>
  <embargo>Age (in months) for formula or other milk</embargo>
  <respUnit>Age (in months) for formula or other milk</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>AGEFORM_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, AGEFORM_ALL (M23_x) reports the age, in months, at which the child was first given baby formula or kinds of milk other than breast milk on a regular basis.

AGEFORM_ALL consists of a set of up to six separate variables, covering the most recent birth (AGEFORM_01) up to, potentially, the sixth-most-recent birth (i.e., AGEFORM_02, AGEFORM_03, AGEFORM_04,  AGEFORM_05, and AGEFORM_06) during the reference period prior to the survey. If AGEFORM_ALL is included in a data extract, all these separate variables are included in a researcher's data file. 

The information in AGEFORM_ALL was collected for all births within the reference period preceding the survey. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then AGEFORM_06 would not be available for that survey in IPUMS-DHS.
For some samples, noted in the Comparability section, this information was collected on only the last-born child (AGEFORM_01).</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGEFORM_01" name="W_AGEFORM_01" files="W" intrvl="discrete">
  <labl>Age (in months) for formula or other milk (last birth)</labl>
  <imputation>Age (in months) for formula or other milk (last birth)</imputation>
  <security>Age (in months) for formula or other milk (last birth)</security>
  <embargo>Age (in months) for formula or other milk (last birth)</embargo>
  <respUnit>Age (in months) for formula or other milk (last birth)</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
    <labl>less than one month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <txt>See AGEFORM_ALL.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGEFORM_02" name="W_AGEFORM_02" files="W" intrvl="discrete">
  <labl>Age (in months) for formula or other milk (second to last birth)</labl>
  <imputation>Age (in months) for formula or other milk (second to last birth)</imputation>
  <security>Age (in months) for formula or other milk (second to last birth)</security>
  <embargo>Age (in months) for formula or other milk (second to last birth)</embargo>
  <respUnit>Age (in months) for formula or other milk (second to last birth)</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>less than one month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGEFORM_03" name="W_AGEFORM_03" files="W" intrvl="discrete">
  <labl>Age (in months) for formula or other milk (third to last birth)</labl>
  <imputation>Age (in months) for formula or other milk (third to last birth)</imputation>
  <security>Age (in months) for formula or other milk (third to last birth)</security>
  <embargo>Age (in months) for formula or other milk (third to last birth)</embargo>
  <respUnit>Age (in months) for formula or other milk (third to last birth)</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
    <labl>less than one month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGEFORM_04" name="W_AGEFORM_04" files="W" intrvl="discrete">
  <labl>Age (in months) for formula or other milk (fourth to last birth)</labl>
  <imputation>Age (in months) for formula or other milk (fourth to last birth)</imputation>
  <security>Age (in months) for formula or other milk (fourth to last birth)</security>
  <embargo>Age (in months) for formula or other milk (fourth to last birth)</embargo>
  <respUnit>Age (in months) for formula or other milk (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>less than one month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGEFORM_05" name="W_AGEFORM_05" files="W" intrvl="discrete">
  <labl>Age (in months) for formula or other milk (fifth to last birth)</labl>
  <imputation>Age (in months) for formula or other milk (fifth to last birth)</imputation>
  <security>Age (in months) for formula or other milk (fifth to last birth)</security>
  <embargo>Age (in months) for formula or other milk (fifth to last birth)</embargo>
  <respUnit>Age (in months) for formula or other milk (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>less than one month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGEFORM_06" name="W_AGEFORM_06" files="W" intrvl="discrete">
  <labl>Age (in months) for formula or other milk (sixth to last birth)</labl>
  <imputation>Age (in months) for formula or other milk (sixth to last birth)</imputation>
  <security>Age (in months) for formula or other milk (sixth to last birth)</security>
  <embargo>Age (in months) for formula or other milk (sixth to last birth)</embargo>
  <respUnit>Age (in months) for formula or other milk (sixth to last birth)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>less than one month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGEOTHLIQ_ALL" name="W_AGEOTHLIQ_ALL" files="W" intrvl="discrete">
  <labl>Age (in months) for other liquids</labl>
  <imputation>Age (in months) for other liquids</imputation>
  <security>Age (in months) for other liquids</security>
  <embargo>Age (in months) for other liquids</embargo>
  <respUnit>Age (in months) for other liquids</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>AGEOTHLIQ_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, AGEOTHLIQ_ALL (M25_x) reports the age, in months, at which the child was first given some other liquid on a regular basis. "Other" must be interpreted relative to the specific liquids and foods mentioned in a particular sample.

AGEOTHLIQ_ALL consists of a set of up to six separate variables, covering the most recent birth (AGEOTHLIQ_01) up to, potentially, the sixth-most-recent birth (i.e., AGEOTHLIQ_02, AGEOTHLIQ_03, AGEOTHLIQ_04,  AGEOTHLIQ_05, and AGEOTHLIQ_06) during the reference period prior to the survey. If AGEOTHLIQ_ALL is included in a data extract, all these separate variables are included in a researcher's data file. 

The information in AGEOTHLIQ_ALL was collected for all births within the reference period preceding the survey. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then AGEOTHLIQ_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGEOTHLIQ_01" name="W_AGEOTHLIQ_01" files="W" intrvl="discrete">
  <labl>Age (in months) for other liquids (last birth)</labl>
  <imputation>Age (in months) for other liquids (last birth)</imputation>
  <security>Age (in months) for other liquids (last birth)</security>
  <embargo>Age (in months) for other liquids (last birth)</embargo>
  <respUnit>Age (in months) for other liquids (last birth)</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>See AGEOTHLIQ_ALL.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGEOTHLIQ_02" name="W_AGEOTHLIQ_02" files="W" intrvl="discrete">
  <labl>Age (in months) for other liquids (second to last birth)</labl>
  <imputation>Age (in months) for other liquids (second to last birth)</imputation>
  <security>Age (in months) for other liquids (second to last birth)</security>
  <embargo>Age (in months) for other liquids (second to last birth)</embargo>
  <respUnit>Age (in months) for other liquids (second to last birth)</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGEOTHLIQ_03" name="W_AGEOTHLIQ_03" files="W" intrvl="discrete">
  <labl>Age (in months) for other liquids (third to last birth)</labl>
  <imputation>Age (in months) for other liquids (third to last birth)</imputation>
  <security>Age (in months) for other liquids (third to last birth)</security>
  <embargo>Age (in months) for other liquids (third to last birth)</embargo>
  <respUnit>Age (in months) for other liquids (third to last birth)</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGEOTHLIQ_04" name="W_AGEOTHLIQ_04" files="W" intrvl="discrete">
  <labl>Age (in months) for other liquids (fourth to last birth)</labl>
  <imputation>Age (in months) for other liquids (fourth to last birth)</imputation>
  <security>Age (in months) for other liquids (fourth to last birth)</security>
  <embargo>Age (in months) for other liquids (fourth to last birth)</embargo>
  <respUnit>Age (in months) for other liquids (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGEOTHLIQ_05" name="W_AGEOTHLIQ_05" files="W" intrvl="discrete">
  <labl>Age (in months) for other liquids (fifth to last birth)</labl>
  <imputation>Age (in months) for other liquids (fifth to last birth)</imputation>
  <security>Age (in months) for other liquids (fifth to last birth)</security>
  <embargo>Age (in months) for other liquids (fifth to last birth)</embargo>
  <respUnit>Age (in months) for other liquids (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGEOTHLIQ_06" name="W_AGEOTHLIQ_06" files="W" intrvl="discrete">
  <labl>Age (in months) for other liquids (sixth to last birth)</labl>
  <imputation>Age (in months) for other liquids (sixth to last birth)</imputation>
  <security>Age (in months) for other liquids (sixth to last birth)</security>
  <embargo>Age (in months) for other liquids (sixth to last birth)</embargo>
  <respUnit>Age (in months) for other liquids (sixth to last birth)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGESOLID_ALL" name="W_AGESOLID_ALL" files="W" intrvl="discrete">
  <labl>Age (in months) for solid or mushy food</labl>
  <imputation>Age (in months) for solid or mushy food</imputation>
  <security>Age (in months) for solid or mushy food</security>
  <embargo>Age (in months) for solid or mushy food</embargo>
  <respUnit>Age (in months) for solid or mushy food</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>AGESOLID_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, AGESOLID_ALL (M26_x) reports the age, in months, at which the child was first given solid or mushy food on a regular basis.

AGESOLID_ALL consists of a set of up to six separate variables, covering the most recent birth (AGESOLID_01) up to, potentially, the sixth-most-recent birth (i.e., AGESOLID_02, AGESOLID_03, AGESOLID_04,  AGESOLID_05, and AGESOLID_06) during the reference period prior to the survey. If AGESOLID_ALL is included in a data extract, all these separate variables are included in a researcher's data file. 

The information in AGESOLID_ALL was collected for all births within the reference period preceding the survey. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then AGESOLID_06 would not be available for that survey in IPUMS-DHS.

Some samples, noted in the Comparability section, collected this information for the last-born child only (AGESOLID_01).</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGESOLID_01" name="W_AGESOLID_01" files="W" intrvl="discrete">
  <labl>Age (in months) for solid or mushy food (last birth)</labl>
  <imputation>Age (in months) for solid or mushy food (last birth)</imputation>
  <security>Age (in months) for solid or mushy food (last birth)</security>
  <embargo>Age (in months) for solid or mushy food (last birth)</embargo>
  <respUnit>Age (in months) for solid or mushy food (last birth)</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>less than one month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>See AGESOLID_ALL.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGESOLID_02" name="W_AGESOLID_02" files="W" intrvl="discrete">
  <labl>Age (in months) for solid or mushy food (second to last birth)</labl>
  <imputation>Age (in months) for solid or mushy food (second to last birth)</imputation>
  <security>Age (in months) for solid or mushy food (second to last birth)</security>
  <embargo>Age (in months) for solid or mushy food (second to last birth)</embargo>
  <respUnit>Age (in months) for solid or mushy food (second to last birth)</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>less than one month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGESOLID_03" name="W_AGESOLID_03" files="W" intrvl="discrete">
  <labl>Age (in months) for solid or mushy food (third to last birth)</labl>
  <imputation>Age (in months) for solid or mushy food (third to last birth)</imputation>
  <security>Age (in months) for solid or mushy food (third to last birth)</security>
  <embargo>Age (in months) for solid or mushy food (third to last birth)</embargo>
  <respUnit>Age (in months) for solid or mushy food (third to last birth)</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>less than one month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGESOLID_04" name="W_AGESOLID_04" files="W" intrvl="discrete">
  <labl>Age (in months) for solid or mushy food (fourth to last birth)</labl>
  <imputation>Age (in months) for solid or mushy food (fourth to last birth)</imputation>
  <security>Age (in months) for solid or mushy food (fourth to last birth)</security>
  <embargo>Age (in months) for solid or mushy food (fourth to last birth)</embargo>
  <respUnit>Age (in months) for solid or mushy food (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>less than one month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGESOLID_05" name="W_AGESOLID_05" files="W" intrvl="discrete">
  <labl>Age (in months) for solid or mushy food (fifth to last birth)</labl>
  <imputation>Age (in months) for solid or mushy food (fifth to last birth)</imputation>
  <security>Age (in months) for solid or mushy food (fifth to last birth)</security>
  <embargo>Age (in months) for solid or mushy food (fifth to last birth)</embargo>
  <respUnit>Age (in months) for solid or mushy food (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>less than one month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_AGESOLID_06" name="W_AGESOLID_06" files="W" intrvl="discrete">
  <labl>Age (in months) for solid or mushy food (sixth to last birth)</labl>
  <imputation>Age (in months) for solid or mushy food (sixth to last birth)</imputation>
  <security>Age (in months) for solid or mushy food (sixth to last birth)</security>
  <embargo>Age (in months) for solid or mushy food (sixth to last birth)</embargo>
  <respUnit>Age (in months) for solid or mushy food (sixth to last birth)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>less than one month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BFEEDNITE" name="W_BFEEDNITE" files="W" intrvl="discrete">
  <labl>Times mother breastfed last child during previous night</labl>
  <imputation>Times mother breastfed last child during previous night</imputation>
  <security>Times mother breastfed last child during previous night</security>
  <embargo>Times mother breastfed last child during previous night</embargo>
  <respUnit>Times mother breastfed last child during previous night</respUnit>
  <qstn>
    <qstnLit>429) FOR MOST RECENT BIRTH: How many times did you breastfeed last night between sunset and sunrise?

(IF ANSWER IS NOT NUMERIC, PROBE TO EVALUATE NUMBER)

NUMBER OF NIGHT TIME FEEDINGS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40+</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>On demand</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years and whose last-born child is still breastfeeding, BFEEDNITE (V407) reports how many times the mother breastfed that child the previous night between sunset and sunrise. 

When women are the unit of analysis, IPUMS-DHS users may also use BRSFEDNITE_01 (M35_01), which reports how many times the woman breastfed her last-born child the previous night.

When children are the unit of analysis, BFEEDNITE describes a characteristic of the mother, which causes all young children of the mother to be coded the same way. Thus, a response of a certain number of times in BFEEDNITE does not necessarily indicate that a particular child whose record is being analyzed was breastfed that many times during the previous night. IPUMS-DHS users should instead employ, when available, the variable BRSFEDNITE (M35) to determine how many times the specific child under analysis was breastfed during the previous night.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BFEEDAY" name="W_BFEEDAY" files="W" intrvl="discrete">
  <labl>Times mother breastfed last child during previous day</labl>
  <imputation>Times mother breastfed last child during previous day</imputation>
  <security>Times mother breastfed last child during previous day</security>
  <embargo>Times mother breastfed last child during previous day</embargo>
  <respUnit>Times mother breastfed last child during previous day</respUnit>
  <qstn>
    <qstnLit>430) FOR MOST RECENT BIRTH: How many times did you breastfeed yesterday, during the daylight hours?

(IF ANSWER IS NOT NUMERIC, PROBE TO EVALUATE NUMBER)

NUMBER OF DAY LIGHT FEEDINGS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40+</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>On demand, non-numeric response</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years and whose last-born child is still breastfeeding, BFEEDAY (V408) reports how many times the mother breastfed that child the previous day during daylight hours. 

When women are the unit of analysis, IPUMS-DHS users may also use BRSFEDAY_01 (M36_01), which reports how many times the woman breastfed her last-born child the previous day during daylight hours.

When children are the unit of analysis, BFEEDAY describes a characteristic of the mother, which causes all young children of the mother to be coded the same way. Thus, a response of a certain number of times in BFEEDAY does not necessarily indicate that a child whose record is being analyzed was personally breastfed that many times during the previous day. IPUMS-DHS users should instead employ, when available, the variable BRSFEDAY (M36) to determine how many times the specific child under analysis was breastfed during the previous day.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BOTTLE24H" name="W_BOTTLE24H" files="W" intrvl="discrete">
  <labl>Mother fed last-born child from bottle with nipple in last day or night</labl>
  <imputation>Mother fed last-born child from bottle with nipple in last day or night</imputation>
  <security>Mother fed last-born child from bottle with nipple in last day or night</security>
  <embargo>Mother fed last-born child from bottle with nipple in last day or night</embargo>
  <respUnit>Mother fed last-born child from bottle with nipple in last day or night</respUnit>
  <qstn>
    <qstnLit>439) Did (NAME) drink anything from a baby bottle yesterday or last night?

YES 1
NO 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years and whose last-born child is still alive, BOTTLE24H (V415) indicates whether the last-born child drank anything from a bottle with a nipple during the previous day and night. 

When women are the unit of analysis, IPUMS-DHS users may also use BRSFEDBOT_01 (M38_01), which also indicates whether the woman gave her last-born child anything from a bottle with a nipple during the previous day and night.

When children are the unit of analysis, BOTTLE24H describes a characteristic of the mother, which causes all young children of the mother to be coded the same way. If the mother reported that she fed her last-born child with a bottle with a nipple during the previous day or night, all of her children in the data are coded as "yes," including any children who have died or who live elsewhere. 

When children are the unit of analysis, a positive response in BOTTLE24H thus does not necessarily indicate that a particular child was actually fed with a bottle with a nipple during the previous day or night. IPUMS-DHS users should instead employ, when available, the variable BRSFEDBOT (M38) to determine whether the specific child in question actually drank anything from a bottle with a nipple during the previous day and night.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BFEEDANYNOW" name="W_BFEEDANYNOW" files="W" intrvl="discrete">
  <labl>Woman currently breastfeeding any child</labl>
  <imputation>Woman currently breastfeeding any child</imputation>
  <security>Woman currently breastfeeding any child</security>
  <embargo>Woman currently breastfeeding any child</embargo>
  <respUnit>Woman currently breastfeeding any child</respUnit>
  <qstn>
    <qstnLit>428) FOR MOST RECENT BIRTH: Do you still breastfeed (NAME)?

YES 1
NO 2 (GO TO 433)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BFEEDANYNOW (V404) indicates whether the woman is currently breastfeeding. If no child was born in the last three to five years, the respondent is assumed to not be breastfeeding. 

When children or births are the unit of analysis, this variable describes a characteristic of the mother, which causes all children of the mother to be coded the same way.

This variable has some variation in how current breastfeeding is determined. See Comparability.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFEDMO_ALL" name="W_BRSFEDMO_ALL" files="W" intrvl="discrete">
  <labl>Duration of breastfeeding in months (including still breastfed)</labl>
  <imputation>Duration of breastfeeding in months (including still breastfed)</imputation>
  <security>Duration of breastfeeding in months (including still breastfed)</security>
  <embargo>Duration of breastfeeding in months (including still breastfed)</embargo>
  <respUnit>Duration of breastfeeding in months (including still breastfed)</respUnit>
  <qstn>
    <qstnLit>433) For how many months did you breastfeed (NAME)?

MONTHS: ___
UNTIL DIED 95 (GO TO 436)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>BRSFEDMO_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, BRSFEDMO_ALL (M5_x) reports the calculated months of breastfeeding for a birth, including cases where 1) the woman was still breastfeeding at the time of the interview or 2) the child had been breastfed until its death. Cases in these two categories were excluded from the related variable BRSFEDUR_ALL on the duration of breastfeeding.

For DHS Phase II forward, inconsistent durations based on the original report of the duration of breastfeeding were coded as "Inconsistent." In cases where the reported duration was one month longer than the relevant interval, duration was shortened by one month.  If the duration of breastfeeding exceeded the child's age at death, the duration of breastfeeding was changed to the age at death.

BRSFEDMO_ALL consists of a set of up to six separate variables, covering the most recent birth (BRSFEDMO_01) up to, potentially, the sixth-most-recent birth (i.e., BRSFEDMO_02, BRSFEDMO_03, BRSFEDMO_04,  BRSFEDMO_05, and BRSFEDMO_06) during the reference period prior to the survey. If BRSFEDMO_ALL is included in a data extract, all these separate variables are included in a researcher's data file. 

The information in BRSFEDMO_ALL was collected for all births within the reference period preceding the survey. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then BRSFEDMO_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFEDMO_01" name="W_BRSFEDMO_01" files="W" intrvl="discrete">
  <labl>Duration of breastfeeding in months (including still breastfed) (last birth)</labl>
  <imputation>Duration of breastfeeding in months (including still breastfed) (last birth)</imputation>
  <security>Duration of breastfeeding in months (including still breastfed) (last birth)</security>
  <embargo>Duration of breastfeeding in months (including still breastfed) (last birth)</embargo>
  <respUnit>Duration of breastfeeding in months (including still breastfed) (last birth)</respUnit>
  <qstn>
    <qstnLit>433) For how many months did you breastfeed (NAME)?

MONTHS: ___
UNTIL DIED 95 (GO TO 436)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60(+)</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>Ever breastfed, not currently breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>Missing: Not asked (child died)</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>Never breastfed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>See BRSFEDMO_ALL.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFEDMO_02" name="W_BRSFEDMO_02" files="W" intrvl="discrete">
  <labl>Duration of breastfeeding in months (including still breastfed) (second to last birth)</labl>
  <imputation>Duration of breastfeeding in months (including still breastfed) (second to last birth)</imputation>
  <security>Duration of breastfeeding in months (including still breastfed) (second to last birth)</security>
  <embargo>Duration of breastfeeding in months (including still breastfed) (second to last birth)</embargo>
  <respUnit>Duration of breastfeeding in months (including still breastfed) (second to last birth)</respUnit>
  <qstn>
    <qstnLit>433) For how many months did you breastfeed (NAME)?

MONTHS: ___
UNTIL DIED 95 (GO TO 436)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>Ever breastfed, not currently breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>Missing: Not asked (child died)</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>Never breastfed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFEDMO_03" name="W_BRSFEDMO_03" files="W" intrvl="discrete">
  <labl>Duration of breastfeeding in months (including still breastfed) (third to last birth)</labl>
  <imputation>Duration of breastfeeding in months (including still breastfed) (third to last birth)</imputation>
  <security>Duration of breastfeeding in months (including still breastfed) (third to last birth)</security>
  <embargo>Duration of breastfeeding in months (including still breastfed) (third to last birth)</embargo>
  <respUnit>Duration of breastfeeding in months (including still breastfed) (third to last birth)</respUnit>
  <qstn>
    <qstnLit>433) For how many months did you breastfeed (NAME)?

MONTHS: ___
UNTIL DIED 95 (GO TO 436)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>Ever breastfed, not currently breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>Missing: Not asked (child died)</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>Never breastfed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFEDMO_04" name="W_BRSFEDMO_04" files="W" intrvl="discrete">
  <labl>Duration of breastfeeding in months (including still breastfed) (fourth to last birth)</labl>
  <imputation>Duration of breastfeeding in months (including still breastfed) (fourth to last birth)</imputation>
  <security>Duration of breastfeeding in months (including still breastfed) (fourth to last birth)</security>
  <embargo>Duration of breastfeeding in months (including still breastfed) (fourth to last birth)</embargo>
  <respUnit>Duration of breastfeeding in months (including still breastfed) (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>433) For how many months did you breastfeed (NAME)?

MONTHS: ___
UNTIL DIED 95 (GO TO 436)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>Ever breastfed, not currently breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>Missing: Not asked (child died)</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>Never breastfed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFEDMO_05" name="W_BRSFEDMO_05" files="W" intrvl="discrete">
  <labl>Duration of breastfeeding in months (including still breastfed) (fifth to last birth)</labl>
  <imputation>Duration of breastfeeding in months (including still breastfed) (fifth to last birth)</imputation>
  <security>Duration of breastfeeding in months (including still breastfed) (fifth to last birth)</security>
  <embargo>Duration of breastfeeding in months (including still breastfed) (fifth to last birth)</embargo>
  <respUnit>Duration of breastfeeding in months (including still breastfed) (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>433) For how many months did you breastfeed (NAME)?

MONTHS: ___
UNTIL DIED 95 (GO TO 436)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>Ever breastfed, not currently breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>Missing: Not asked (child died)</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>Never breastfed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFEDMO_06" name="W_BRSFEDMO_06" files="W" intrvl="discrete">
  <labl>Duration of breastfeeding in months (including still breastfed) (sixth to last birth)</labl>
  <imputation>Duration of breastfeeding in months (including still breastfed) (sixth to last birth)</imputation>
  <security>Duration of breastfeeding in months (including still breastfed) (sixth to last birth)</security>
  <embargo>Duration of breastfeeding in months (including still breastfed) (sixth to last birth)</embargo>
  <respUnit>Duration of breastfeeding in months (including still breastfed) (sixth to last birth)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>Ever breastfed, not currently breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>Missing: Not asked (child died)</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>Never breastfed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFEDUR_ALL" name="W_BRSFEDUR_ALL" files="W" intrvl="discrete">
  <labl>Duration of breastfeeding in months</labl>
  <imputation>Duration of breastfeeding in months</imputation>
  <security>Duration of breastfeeding in months</security>
  <embargo>Duration of breastfeeding in months</embargo>
  <respUnit>Duration of breastfeeding in months</respUnit>
  <qstn>
    <qstnLit>433) For how many months did you breastfeed (NAME)?

MONTHS: ___
UNTIL DIED 95 (GO TO 436)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>BRSFEDUR_ALL available</labl>
  </catgry>
  <txt>BRSFEDUR_ALL (M4_x) reports the calculated months of breastfeeding, for women who gave birth in the last three to five years and were no longer breastfeeding the child.

BRSFEDUR_ALL consists of a set of six separate variables, covering the most recent birth (BRSFEDUR_01) up to the sixth-most-recent birth (i.e., BRSFEDUR_02, BRSFEDUR_03, BRSFEDUR_04, BRSFEDUR_05, and BRSFEDUR_06) during the reference period prior to the survey.  If BRSFEDUR_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then BRSFEDUR_06 would not be available for that survey in IPUMS-DHS. 

The related variable BRSFEDMO_ALL differs by including women who were still breastfeeding at the time of the interview. The variable BRSFEDCAT_ALL provides categorical information about breastfeeding, reporting whether the woman ever breastfed, and, if so, whether she is still breastfeeding.

The maximum period allowed for BRSFEDUR_ALL during the data editing (by survey administrators) was the interval between the date of birth of the child and the date of interview. For Phase I, cases that exceeded the allowed maximum period were set to "Inconsistent." For Phase II forward, inconsistent durations were left in place, but such cases were flagged in BRSFDFLAG_ALL and were set to "Inconsistent" in BRSFEDMO_ALL.  In Phase II only, for Model "A" countries, the "breastfed until died" category was not used.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFEDUR_01" name="W_BRSFEDUR_01" files="W" intrvl="discrete">
  <labl>Duration of breastfeeding in months (last birth)</labl>
  <imputation>Duration of breastfeeding in months (last birth)</imputation>
  <security>Duration of breastfeeding in months (last birth)</security>
  <embargo>Duration of breastfeeding in months (last birth)</embargo>
  <respUnit>Duration of breastfeeding in months (last birth)</respUnit>
  <qstn>
    <qstnLit>433) For how many months did you breastfeed (NAME)?

MONTHS: ___
UNTIL DIED 95 (GO TO 436)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>Breastfed until died</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>Ever breastfed, not currently breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>Not asked (child died)</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>Never breastfed</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Still breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>See BRSFEDUR_ALL.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFEDUR_02" name="W_BRSFEDUR_02" files="W" intrvl="discrete">
  <labl>Duration of breastfeeding in months (second to last birth)</labl>
  <imputation>Duration of breastfeeding in months (second to last birth)</imputation>
  <security>Duration of breastfeeding in months (second to last birth)</security>
  <embargo>Duration of breastfeeding in months (second to last birth)</embargo>
  <respUnit>Duration of breastfeeding in months (second to last birth)</respUnit>
  <qstn>
    <qstnLit>433) For how many months did you breastfeed (NAME)?

MONTHS: ___
UNTIL DIED 95 (GO TO 436)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>Breastfed until died</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>Ever breastfed, not currently breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>Not asked (child died)</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>Never breastfed</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Still breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFEDUR_03" name="W_BRSFEDUR_03" files="W" intrvl="discrete">
  <labl>Duration of breastfeeding in months (third to last birth)</labl>
  <imputation>Duration of breastfeeding in months (third to last birth)</imputation>
  <security>Duration of breastfeeding in months (third to last birth)</security>
  <embargo>Duration of breastfeeding in months (third to last birth)</embargo>
  <respUnit>Duration of breastfeeding in months (third to last birth)</respUnit>
  <qstn>
    <qstnLit>433) For how many months did you breastfeed (NAME)?

MONTHS: ___
UNTIL DIED 95 (GO TO 436)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>Breastfed until died</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>Ever breastfed, not currently breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>Not asked (child died)</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>Never breastfed</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Still breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFEDUR_04" name="W_BRSFEDUR_04" files="W" intrvl="discrete">
  <labl>Duration of breastfeeding in months (fourth to last birth)</labl>
  <imputation>Duration of breastfeeding in months (fourth to last birth)</imputation>
  <security>Duration of breastfeeding in months (fourth to last birth)</security>
  <embargo>Duration of breastfeeding in months (fourth to last birth)</embargo>
  <respUnit>Duration of breastfeeding in months (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>433) For how many months did you breastfeed (NAME)?

MONTHS: ___
UNTIL DIED 95 (GO TO 436)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>Breastfed until died</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>Ever breastfed, not currently breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>Not asked (child died)</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>Never breastfed</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Still breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFEDUR_05" name="W_BRSFEDUR_05" files="W" intrvl="discrete">
  <labl>Duration of breastfeeding in months (fifth to last birth)</labl>
  <imputation>Duration of breastfeeding in months (fifth to last birth)</imputation>
  <security>Duration of breastfeeding in months (fifth to last birth)</security>
  <embargo>Duration of breastfeeding in months (fifth to last birth)</embargo>
  <respUnit>Duration of breastfeeding in months (fifth to last birth)</respUnit>
  <qstn>
    <qstnLit>433) For how many months did you breastfeed (NAME)?

MONTHS: ___
UNTIL DIED 95 (GO TO 436)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>Breastfed until died</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>Ever breastfed, not currently breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>Not asked (child died)</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>Never breastfed</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Still breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFEDUR_06" name="W_BRSFEDUR_06" files="W" intrvl="discrete">
  <labl>Duration of breastfeeding in months (sixth to last birth)</labl>
  <imputation>Duration of breastfeeding in months (sixth to last birth)</imputation>
  <security>Duration of breastfeeding in months (sixth to last birth)</security>
  <embargo>Duration of breastfeeding in months (sixth to last birth)</embargo>
  <respUnit>Duration of breastfeeding in months (sixth to last birth)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>Breastfed until died</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>Ever breastfed, not currently breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>Not asked (child died)</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>Never breastfed</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Still breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFDFLAG_ALL" name="W_BRSFDFLAG_ALL" files="W" intrvl="discrete">
  <labl>Flag for breastfeeding, problem with duration</labl>
  <imputation>Flag for breastfeeding, problem with duration</imputation>
  <security>Flag for breastfeeding, problem with duration</security>
  <embargo>Flag for breastfeeding, problem with duration</embargo>
  <respUnit>Flag for breastfeeding, problem with duration</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>BRSFDFLAG_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, BRSFDFLAG_ALL (M27_x) is a flag variable that indicates the type of problem, if any, found in editing the duration of breastfeeding. Cases without a problem are coded 0.

BRSFDFLAG_ALL consists of a set of up to six separate variables, covering the most recent birth (BRSFDFLAG_01) up to, potentially, the sixth-most-recent birth (i.e., BRSFDFLAG_02, BRSFDFLAG_03, BRSFDFLAG_04,  BRSFDFLAG_05, and BRSFDFLAG_06) during the reference period prior to the survey. If BRSFDFLAG_ALL is included in a data extract, all these separate variables are included in a researcher's data file. 

The information in BRSFDFLAG_ALL was collected for all births within the reference period preceding the survey. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then BRSFDFLAG_06 would not be available for that survey in IPUMS-DHS.

For duration of breastfeeding, see BRSFEDUR_ALL (M4_x).</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFDFLAG_01" name="W_BRSFDFLAG_01" files="W" intrvl="discrete">
  <labl>Flag for breastfeeding, problem with duration (last birth)</labl>
  <imputation>Flag for breastfeeding, problem with duration (last birth)</imputation>
  <security>Flag for breastfeeding, problem with duration (last birth)</security>
  <embargo>Flag for breastfeeding, problem with duration (last birth)</embargo>
  <respUnit>Flag for breastfeeding, problem with duration (last birth)</respUnit>
  <catgry>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Greater than interval between birth and date of interview</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Greater than interval between birth and date of interview by only 1 month</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Greater than interval between birth and age at death</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>During pregnancy in calendar</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years, BRSFDFLAG_01 (M27_01) is a flag variable that indicates the type of problem, if any, found in editing the duration of breastfeeding. Cases without a problem are coded 0.

For duration of breastfeeding, see BRSFEDUR_01 (M4_01).</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFDFLAG_02" name="W_BRSFDFLAG_02" files="W" intrvl="discrete">
  <labl>Flag for breastfeeding, problem with duration (second to last birth)</labl>
  <imputation>Flag for breastfeeding, problem with duration (second to last birth)</imputation>
  <security>Flag for breastfeeding, problem with duration (second to last birth)</security>
  <embargo>Flag for breastfeeding, problem with duration (second to last birth)</embargo>
  <respUnit>Flag for breastfeeding, problem with duration (second to last birth)</respUnit>
  <catgry>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Greater than interval between birth and date of interview</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Greater than interval between birth and date of interview by only 1 month</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Greater than interval between birth and age at death</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>During pregnancy in calendar</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFDFLAG_03" name="W_BRSFDFLAG_03" files="W" intrvl="discrete">
  <labl>Flag for breastfeeding, problem with duration (third to last birth)</labl>
  <imputation>Flag for breastfeeding, problem with duration (third to last birth)</imputation>
  <security>Flag for breastfeeding, problem with duration (third to last birth)</security>
  <embargo>Flag for breastfeeding, problem with duration (third to last birth)</embargo>
  <respUnit>Flag for breastfeeding, problem with duration (third to last birth)</respUnit>
  <catgry>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Greater than interval between birth and date of interview</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Greater than interval between birth and date of interview by only 1 month</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Greater than interval between birth and age at death</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>During pregnancy in calendar</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFDFLAG_04" name="W_BRSFDFLAG_04" files="W" intrvl="discrete">
  <labl>Flag for breastfeeding, problem with duration (fourth to last birth)</labl>
  <imputation>Flag for breastfeeding, problem with duration (fourth to last birth)</imputation>
  <security>Flag for breastfeeding, problem with duration (fourth to last birth)</security>
  <embargo>Flag for breastfeeding, problem with duration (fourth to last birth)</embargo>
  <respUnit>Flag for breastfeeding, problem with duration (fourth to last birth)</respUnit>
  <catgry>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Greater than interval between birth and date of interview</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Greater than interval between birth and date of interview by only 1 month</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Greater than interval between birth and age at death</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>During pregnancy in calendar</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFDFLAG_05" name="W_BRSFDFLAG_05" files="W" intrvl="discrete">
  <labl>Flag for breastfeeding, problem with duration (fifth to last birth)</labl>
  <imputation>Flag for breastfeeding, problem with duration (fifth to last birth)</imputation>
  <security>Flag for breastfeeding, problem with duration (fifth to last birth)</security>
  <embargo>Flag for breastfeeding, problem with duration (fifth to last birth)</embargo>
  <respUnit>Flag for breastfeeding, problem with duration (fifth to last birth)</respUnit>
  <catgry>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Greater than interval between birth and date of interview</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Greater than interval between birth and date of interview by only 1 month</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Greater than interval between birth and age at death</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>During pregnancy in calendar</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFDFLAG_06" name="W_BRSFDFLAG_06" files="W" intrvl="discrete">
  <labl>Flag for breastfeeding, problem with duration (sixth to last birth)</labl>
  <imputation>Flag for breastfeeding, problem with duration (sixth to last birth)</imputation>
  <security>Flag for breastfeeding, problem with duration (sixth to last birth)</security>
  <embargo>Flag for breastfeeding, problem with duration (sixth to last birth)</embargo>
  <respUnit>Flag for breastfeeding, problem with duration (sixth to last birth)</respUnit>
  <catgry>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Greater than interval between birth and date of interview</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Greater than interval between birth and date of interview by only 1 month</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Greater than interval between birth and age at death</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>During pregnancy in calendar</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFEDST_ALL" name="W_BRSFEDST_ALL" files="W" intrvl="discrete">
  <labl>Time from birth until child first breastfed</labl>
  <imputation>Time from birth until child first breastfed</imputation>
  <security>Time from birth until child first breastfed</security>
  <embargo>Time from birth until child first breastfed</embargo>
  <respUnit>Time from birth until child first breastfed</respUnit>
  <qstn>
    <qstnLit>426) FOR MOST RECENT BIRTH: How long after birth did you first put (NAME) to the breast?

IF LESS THAN 1 HOUR, RECORD '00' HOURS.
IF LESS THAN 24 HOURS, RECORD HOURS.
OTHERWISE, RECORD DAYS.

IMMEDIATELY 000
HOURS: ___ 1
DAYS: ___ 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>BRSFEDST_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the three to five years preceding the survey and who ever breastfed the infant, BRSFEDST_ALL (M34_x) reports the length of time between the birth and when the woman first breastfed her child. Following DHS convention, intervals reported in hours are coded with a "1" in the first digit, and intervals reported in days are coded with a "2" in the first digit.

BRSFEDST_ALL consists of a set of six separate variables, covering the most recent birth (BRSFEDST_01) up to the sixth-most-recent birth (i.e., BRSFEDST_02, BRSFEDST_03, BRSFEDST_04, BRSFEDST_05, and BRSFEDST_06) during the reference period prior to the survey.  If BRSFEDST_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then BRSFEDST_06 would not be available for that survey in IPUMS-DHS. 

Many surveys, noted in the Comparability section, collected this information for the last-born child only.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFEDST_01" name="W_BRSFEDST_01" files="W" intrvl="discrete">
  <labl>Time from birth until child first breastfed (last birth)</labl>
  <imputation>Time from birth until child first breastfed (last birth)</imputation>
  <security>Time from birth until child first breastfed (last birth)</security>
  <embargo>Time from birth until child first breastfed (last birth)</embargo>
  <respUnit>Time from birth until child first breastfed (last birth)</respUnit>
  <qstn>
    <qstnLit>426) FOR MOST RECENT BIRTH: How long after birth did you first put (NAME) to the breast?

IF LESS THAN 1 HOUR, RECORD '00' HOURS.
IF LESS THAN 24 HOURS, RECORD HOURS.
OTHERWISE, RECORD DAYS.

IMMEDIATELY 000
HOURS: ___ 1
DAYS: ___ 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
    <labl>Immediately</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>Within 1 hour</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 hour</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 hours</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Hours, number unspecified</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Same day</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>294</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>295</catValu>
    <labl>95</labl>
  </catgry>
  <catgry>
    <catValu>296</catValu>
    <labl>96</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>97</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>98</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Days, number unspecified</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the three to five years preceding the survey and who ever breastfed the infant, BRSFEDST_01 (M34_1) reports the length of time between the birth and when the woman first breastfed her child (for the last birth). Following DHS convention, intervals reported in hours are coded with a "1" in the first digit, and intervals reported in days are coded with a "2" in the first digit.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFEDST_02" name="W_BRSFEDST_02" files="W" intrvl="discrete">
  <labl>Time from birth until child first breastfed (second to last birth)</labl>
  <imputation>Time from birth until child first breastfed (second to last birth)</imputation>
  <security>Time from birth until child first breastfed (second to last birth)</security>
  <embargo>Time from birth until child first breastfed (second to last birth)</embargo>
  <respUnit>Time from birth until child first breastfed (second to last birth)</respUnit>
  <catgry>
    <catValu>000</catValu>
    <labl>Immediately</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>Within 1 hour</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 hour</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 hours</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Hours, number unspecified</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Same day</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>294</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>295</catValu>
    <labl>95</labl>
  </catgry>
  <catgry>
    <catValu>296</catValu>
    <labl>96</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>97</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>98</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Days, number unspecified</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFEDST_03" name="W_BRSFEDST_03" files="W" intrvl="discrete">
  <labl>Time from birth until child first breastfed (third to last birth)</labl>
  <imputation>Time from birth until child first breastfed (third to last birth)</imputation>
  <security>Time from birth until child first breastfed (third to last birth)</security>
  <embargo>Time from birth until child first breastfed (third to last birth)</embargo>
  <respUnit>Time from birth until child first breastfed (third to last birth)</respUnit>
  <catgry>
    <catValu>000</catValu>
    <labl>Immediately</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>Within 1 hour</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 hour</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 hours</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Hours, number unspecified</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Same day</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>294</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>295</catValu>
    <labl>95</labl>
  </catgry>
  <catgry>
    <catValu>296</catValu>
    <labl>96</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>97</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>98</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Days, number unspecified</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFEDST_04" name="W_BRSFEDST_04" files="W" intrvl="discrete">
  <labl>Time from birth until child first breastfed (fourth to last birth)</labl>
  <imputation>Time from birth until child first breastfed (fourth to last birth)</imputation>
  <security>Time from birth until child first breastfed (fourth to last birth)</security>
  <embargo>Time from birth until child first breastfed (fourth to last birth)</embargo>
  <respUnit>Time from birth until child first breastfed (fourth to last birth)</respUnit>
  <catgry>
    <catValu>000</catValu>
    <labl>Immediately</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>Within 1 hour</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 hour</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 hours</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Hours, number unspecified</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Same day</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>294</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>295</catValu>
    <labl>95</labl>
  </catgry>
  <catgry>
    <catValu>296</catValu>
    <labl>96</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>97</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>98</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Days, number unspecified</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFEDST_05" name="W_BRSFEDST_05" files="W" intrvl="discrete">
  <labl>Time from birth until child first breastfed (fifth to last birth)</labl>
  <imputation>Time from birth until child first breastfed (fifth to last birth)</imputation>
  <security>Time from birth until child first breastfed (fifth to last birth)</security>
  <embargo>Time from birth until child first breastfed (fifth to last birth)</embargo>
  <respUnit>Time from birth until child first breastfed (fifth to last birth)</respUnit>
  <catgry>
    <catValu>000</catValu>
    <labl>Immediately</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>Within 1 hour</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 hour</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 hours</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Hours, number unspecified</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>DAYS</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>294</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>295</catValu>
    <labl>95</labl>
  </catgry>
  <catgry>
    <catValu>296</catValu>
    <labl>96</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>97</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>98</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Days, number unspecified</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BRSFEDST_06" name="W_BRSFEDST_06" files="W" intrvl="discrete">
  <labl>Time from birth until child first breastfed (sixth to last birth)</labl>
  <imputation>Time from birth until child first breastfed (sixth to last birth)</imputation>
  <security>Time from birth until child first breastfed (sixth to last birth)</security>
  <embargo>Time from birth until child first breastfed (sixth to last birth)</embargo>
  <respUnit>Time from birth until child first breastfed (sixth to last birth)</respUnit>
  <catgry>
    <catValu>000</catValu>
    <labl>Immediately</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>Within 1 hour</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 hour</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 hours</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Hours, number unspecified</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>DAYS</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>294</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>295</catValu>
    <labl>95</labl>
  </catgry>
  <catgry>
    <catValu>296</catValu>
    <labl>96</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>97</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>98</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Days, number unspecified</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BFEEDST" name="W_BFEEDST" files="W" intrvl="discrete">
  <labl>When mother first put last-born child to breast</labl>
  <imputation>When mother first put last-born child to breast</imputation>
  <security>When mother first put last-born child to breast</security>
  <embargo>When mother first put last-born child to breast</embargo>
  <respUnit>When mother first put last-born child to breast</respUnit>
  <qstn>
    <qstnLit>426) FOR MOST RECENT BIRTH: How long after birth did you first put (NAME) to the breast?

IF LESS THAN 1 HOUR, RECORD '00' HOURS.
IF LESS THAN 24 HOURS, RECORD HOURS.
OTHERWISE, RECORD DAYS.

IMMEDIATELY 000
HOURS: ___ 1
DAYS: ___ 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
    <labl>Immediately</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>Within first hour</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 hour</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 hours</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 hours</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 hours</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 hours</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 hours</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 hours</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 hours</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 hours</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 hours</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 hours</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 hours</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 hours</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 hours</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 hours</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 hours</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 hours</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 hours</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 hours</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 hours</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 hours</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 hours</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 hours</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 hours</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 hours</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 hours</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 hours</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 hours</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 hours</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 hours</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 hours</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 hours</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 hours</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 hours</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 hours</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 hours</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 hours</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 hours</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 hours</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 hours</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 hours</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 hours</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 hours</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 hours</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 hours</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46 hours</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47 hours</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48 hours</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49 hours</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50 hours</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51 hours</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52 hours</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53 hours</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54 hours</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55 hours</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56 hours</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57 hours</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58 hours</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59 hours</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60 hours</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61 hours</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62 hours</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63 hours</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64 hours</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65 hours</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66 hours</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67 hours</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68 hours</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69 hours</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70 hours</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71 hours</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72 hours</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73 hours</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74 hours</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75 hours</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76 hours</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77 hours</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78 hours</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79 hours</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80 hours</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81 hours</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82 hours</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83 hours</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84 hours</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85 hours</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86 hours</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87 hours</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88 hours</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89 hours</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90 hours</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Hours: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Within first day</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41 days</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42 days</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43 days</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44 days</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45 days</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46 days</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47 days</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48 days</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49 days</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50 days</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51 days</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52 days</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>53 days</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>54 days</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>55 days</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>56 days</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>57 days</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>58 days</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>59 days</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>60 days</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>61 days</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>62 days</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>63 days</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>64 days</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>65 days</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>66 days</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>67 days</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>68 days</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>69 days</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>70 days</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>71 days</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>72 days</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>73 days</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>74 days</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>75 days</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>76 days</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>77 days</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>78 days</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>79 days</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>80 days</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>81 days</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>82 days</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>83 days</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>84 days</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>85 days</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>86 days</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>87 days</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>88 days</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>89 days</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>90 days</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Days: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years and breastfed their last-born child, BFEEDST (V426) reports the length of time between the birth and when the woman first breastfed her last-born child. Following DHS convention, intervals reported in hours are coded with a "1" in the first digit, and intervals reported in days are coded with a "2" in the first digit.

When women are the unit of analysis, IPUMS-DHS users may also use BRSFEDST_01 (M34_1), which also reports the length of time between the birth and when the woman first breastfed her child (for the last birth).

When children are the unit of analysis, BFEEDST describes a characteristic of the mother, which causes all young children of the mother to be coded the same way. Thus, a response of a certain number of hours or days in BFEEDST does not necessarily indicate that a particular child whose record is being analyzed was first breastfed after that amount of time. IPUMS-DHS users should instead employ, when available, the variable BRSFEDST (M34) to determine the length of time between the specific child's birth and when that child was first breastfed.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WHYNOBRFD_ALL" name="W_WHYNOBRFD_ALL" files="W" intrvl="discrete">
  <labl>Reason did not breastfeed</labl>
  <imputation>Reason did not breastfeed</imputation>
  <security>Reason did not breastfeed</security>
  <embargo>Reason did not breastfeed</embargo>
  <respUnit>Reason did not breastfeed</respUnit>
  <qstn>
    <qstnLit>425) Why did you not breastfeed (NAME)?

MOTHER ILL/WEAK 01 (GO TO 435)
CHILD ILL/WEAK 02 (GO TO 435)
CHILD DIED 03 (GO TO 435)
BREAST/NIPPLE PROBLEM 04 (GO TO 435)
INSUFFICIENT MILK 05 (GO TO 435)
MOTHER WORKING 06 (GO TO 435)
CHILD REFUSED 07 (GO TO 435)
OTHER (SPECIFY): ___ 08 (GO TO 435)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>WHYNOBRFD_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years and never breastfed the child, WHYNOBRFD_ALL (M20_x) reports why they did not breastfeed.

WHYNOBRFD_ALL consists of a set of six separate variables, covering the most recent birth (WHYNOBRFD_01) up to the sixth-most-recent birth (i.e., WHYNOBRFD_02, WHYNOBRFD_03, WHYNOBRFD_04, WHYNOBRFD_05, and WHYNOBRFD_06) during the reference period prior to the survey.  If WHYNOBRFD_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then WHYNOBRFD_06 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WHYNOBRFD_01" name="W_WHYNOBRFD_01" files="W" intrvl="discrete">
  <labl>Reason did not breastfeed (last birth)</labl>
  <imputation>Reason did not breastfeed (last birth)</imputation>
  <security>Reason did not breastfeed (last birth)</security>
  <embargo>Reason did not breastfeed (last birth)</embargo>
  <respUnit>Reason did not breastfeed (last birth)</respUnit>
  <qstn>
    <qstnLit>425) Why did you not breastfeed (NAME)?

MOTHER ILL/WEAK 01 (GO TO 435)
CHILD ILL/WEAK 02 (GO TO 435)
CHILD DIED 03 (GO TO 435)
BREAST/NIPPLE PROBLEM 04 (GO TO 435)
INSUFFICIENT MILK 05 (GO TO 435)
MOTHER WORKING 06 (GO TO 435)
CHILD REFUSED 07 (GO TO 435)
OTHER (SPECIFY): ___ 08 (GO TO 435)</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Health problem</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Mother ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Child ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Child died</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Breastmilk problem</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Nipple, breast problem</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Insufficient milk</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Mother busy</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Mother working</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Inconvenient</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Child's attitude</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Child refused</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Child preferred bottle</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Reproductive/family planning reason</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Mother became pregnant</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Started using method</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Mother does not know how</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>Other reason</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>Child has grown</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>Mother's figure concern</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>See WHYNOBRFD_ALL.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WHYNOBRFD_02" name="W_WHYNOBRFD_02" files="W" intrvl="discrete">
  <labl>Reason did not breastfeed (second to last birth)</labl>
  <imputation>Reason did not breastfeed (second to last birth)</imputation>
  <security>Reason did not breastfeed (second to last birth)</security>
  <embargo>Reason did not breastfeed (second to last birth)</embargo>
  <respUnit>Reason did not breastfeed (second to last birth)</respUnit>
  <qstn>
    <qstnLit>425) Why did you not breastfeed (NAME)?

MOTHER ILL/WEAK 01 (GO TO 435)
CHILD ILL/WEAK 02 (GO TO 435)
CHILD DIED 03 (GO TO 435)
BREAST/NIPPLE PROBLEM 04 (GO TO 435)
INSUFFICIENT MILK 05 (GO TO 435)
MOTHER WORKING 06 (GO TO 435)
CHILD REFUSED 07 (GO TO 435)
OTHER (SPECIFY): ___ 08 (GO TO 435)</qstnLit>
  </qstn>
  <catgry>
    <catValu>72</catValu>
    <labl>Mother's figure concern</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>Child has grown</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>Other reason</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Mother does not know how</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Started using method</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Mother became pregnant</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Reproductive/family planning reason</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Child preferred bottle</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Child refused</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Child's attitude</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Inconvenient</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Mother working</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Mother busy</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Insufficient milk</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Nipple, breast problem</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Breastmilk problem</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Child died</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Child ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Mother ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Health problem</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WHYNOBRFD_03" name="W_WHYNOBRFD_03" files="W" intrvl="discrete">
  <labl>Reason did not breastfeed (third to last birth)</labl>
  <imputation>Reason did not breastfeed (third to last birth)</imputation>
  <security>Reason did not breastfeed (third to last birth)</security>
  <embargo>Reason did not breastfeed (third to last birth)</embargo>
  <respUnit>Reason did not breastfeed (third to last birth)</respUnit>
  <qstn>
    <qstnLit>425) Why did you not breastfeed (NAME)?

MOTHER ILL/WEAK 01 (GO TO 435)
CHILD ILL/WEAK 02 (GO TO 435)
CHILD DIED 03 (GO TO 435)
BREAST/NIPPLE PROBLEM 04 (GO TO 435)
INSUFFICIENT MILK 05 (GO TO 435)
MOTHER WORKING 06 (GO TO 435)
CHILD REFUSED 07 (GO TO 435)
OTHER (SPECIFY): ___ 08 (GO TO 435)</qstnLit>
  </qstn>
  <catgry>
    <catValu>72</catValu>
    <labl>Mother's figure concern</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>Child has grown</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>Other reason</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Mother does not know how</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Started using method</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Mother became pregnant</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Reproductive/family planning reason</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Child preferred bottle</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Child refused</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Child's attitude</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Inconvenient</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Mother working</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Mother busy</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Insufficient milk</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Nipple, breast problem</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Breastmilk problem</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Child died</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Child ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Mother ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Health problem</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WHYNOBRFD_04" name="W_WHYNOBRFD_04" files="W" intrvl="discrete">
  <labl>Reason did not breastfeed (fourth to last birth)</labl>
  <imputation>Reason did not breastfeed (fourth to last birth)</imputation>
  <security>Reason did not breastfeed (fourth to last birth)</security>
  <embargo>Reason did not breastfeed (fourth to last birth)</embargo>
  <respUnit>Reason did not breastfeed (fourth to last birth)</respUnit>
  <qstn>
    <qstnLit>425) Why did you not breastfeed (NAME)?

MOTHER ILL/WEAK 01 (GO TO 435)
CHILD ILL/WEAK 02 (GO TO 435)
CHILD DIED 03 (GO TO 435)
BREAST/NIPPLE PROBLEM 04 (GO TO 435)
INSUFFICIENT MILK 05 (GO TO 435)
MOTHER WORKING 06 (GO TO 435)
CHILD REFUSED 07 (GO TO 435)
OTHER (SPECIFY): ___ 08 (GO TO 435)</qstnLit>
  </qstn>
  <catgry>
    <catValu>72</catValu>
    <labl>Mother's figure concern</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>Child has grown</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>Other reason</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Mother does not know how</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Started using method</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Mother became pregnant</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Reproductive/family planning reason</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Child preferred bottle</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Child refused</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Child's attitude</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Inconvenient</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Mother working</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Mother busy</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Insufficient milk</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Nipple, breast problem</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Breastmilk problem</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Child died</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Child ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Mother ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Health problem</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WHYNOBRFD_05" name="W_WHYNOBRFD_05" files="W" intrvl="discrete">
  <labl>Reason did not breastfeed (fifth to last birth)</labl>
  <imputation>Reason did not breastfeed (fifth to last birth)</imputation>
  <security>Reason did not breastfeed (fifth to last birth)</security>
  <embargo>Reason did not breastfeed (fifth to last birth)</embargo>
  <respUnit>Reason did not breastfeed (fifth to last birth)</respUnit>
  <catgry>
    <catValu>72</catValu>
    <labl>Mother's figure concern</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>Child has grown</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>Other reason</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Mother does not know how</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Using pill</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Mother became pregnant</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Reproductive/family planning reason</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Child preferred bottle</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Child refused</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Child's attitude</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Inconvenient</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Mother working</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Mother busy</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Insufficient milk</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Nipple, breast problem</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Breastmilk problem</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Child died</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Child ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Mother ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Health problem</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WHYSTBRFD_ALL" name="W_WHYSTBRFD_ALL" files="W" intrvl="discrete">
  <labl>Reason stopped breastfeeding</labl>
  <imputation>Reason stopped breastfeeding</imputation>
  <security>Reason stopped breastfeeding</security>
  <embargo>Reason stopped breastfeeding</embargo>
  <respUnit>Reason stopped breastfeeding</respUnit>
  <qstn>
    <qstnLit>434) Why did you stop breastfeeding (NAME)?

MOTHER ILL/WEAK 01
CHILD ILL/WEAK 02
CHILD DIED 03
BREAST/NIPPLE PROBLEM 04
INSUFFICIENT MILK 05
MOTHER WORKING 06
CHILD REFUSED 07
WEANING AGE 08
BECAME PREGNANT 09
STARTED USING CONTRACEPTION 10
OTHER (SPECIFY):___ 11</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>WHYSTBRFD_ALL available</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years and stopped breastfeeding their child, WHYSTBRFD_ALL (M21_x) reports why they stopped breastfeeding. Children who were breastfed until they died are coded 13 (Child died) as the reason for stopping breastfeeding. 

WHYSTBRFD_ALL consists of a set of six separate variables, covering the most recent birth (WHYSTBRFD_01) up to the sixth-most-recent birth (i.e., WHYSTBRFD_02, WHYSTBRFD_03, WHYSTBRFD_04, WHYSTBRFD_05, and WHYSTBRFD_06) during the reference period prior to the survey.  If WHYSTBRFD_ALL is included in a data extract, all these separate variables are included in a researcher's data file.  

For surveys including this question, information for this variable was collected on all births, up to a maximum of six, in the reference period. In many cases, data were hypothetically collected on up to six births, but no women in the survey had so many births (e.g., no woman had 4 or more births in 3 years, or had 5 or 6 births in 5 years). If, for example, no woman in a survey had 6 births in five years and only blank values were included in the original DHS file, then WHYSTBRFD_06 would not be available for that survey in IPUMS-DHS. 

Some surveys, specified in the Comparability section, collected this information for the last-born child only.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WHYSTBRFD_01" name="W_WHYSTBRFD_01" files="W" intrvl="discrete">
  <labl>Reason stopped breastfeeding (last child)</labl>
  <imputation>Reason stopped breastfeeding (last child)</imputation>
  <security>Reason stopped breastfeeding (last child)</security>
  <embargo>Reason stopped breastfeeding (last child)</embargo>
  <respUnit>Reason stopped breastfeeding (last child)</respUnit>
  <qstn>
    <qstnLit>434) Why did you stop breastfeeding (NAME)?

MOTHER ILL/WEAK 01
CHILD ILL/WEAK 02
CHILD DIED 03
BREAST/NIPPLE PROBLEM 04
INSUFFICIENT MILK 05
MOTHER WORKING 06
CHILD REFUSED 07
WEANING AGE 08
BECAME PREGNANT 09
STARTED USING CONTRACEPTION 10
OTHER (SPECIFY):___ 11</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Health problem</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Mother ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Child ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Child died</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Child had diarrhea</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Improve child health</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Breastmilk problem</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Nipple, breast problem</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Insufficient milk</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Mother busy</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Mother working</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Mother at school</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Inconvenient</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Child's attitude</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Child refused</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Child refused food</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Child preferred bottle</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Weaning age</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Reproductive/family planning reason</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Became pregnant</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>Started using method</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>Wanted to start method</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>Wanted another child</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>Other reason</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>Husband disapproved</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>Mother's figure concern</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know if ever breastfed</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>See WHYSTBRFD_ALL.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WHYSTBRFD_02" name="W_WHYSTBRFD_02" files="W" intrvl="discrete">
  <labl>Reason stopped breastfeeding (second to last child)</labl>
  <imputation>Reason stopped breastfeeding (second to last child)</imputation>
  <security>Reason stopped breastfeeding (second to last child)</security>
  <embargo>Reason stopped breastfeeding (second to last child)</embargo>
  <respUnit>Reason stopped breastfeeding (second to last child)</respUnit>
  <qstn>
    <qstnLit>434) Why did you stop breastfeeding (NAME)?

MOTHER ILL/WEAK 01
CHILD ILL/WEAK 02
CHILD DIED 03
BREAST/NIPPLE PROBLEM 04
INSUFFICIENT MILK 05
MOTHER WORKING 06
CHILD REFUSED 07
WEANING AGE 08
BECAME PREGNANT 09
STARTED USING CONTRACEPTION 10
OTHER (SPECIFY):___ 11</qstnLit>
  </qstn>
  <catgry>
    <catValu>95</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>Mother's figure concern</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>Husband disapproved</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>Other reason</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>Wanted another child</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>Wanted to start method</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>Started using method</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Became pregnant</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Reproductive/family planning reason</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Weaning age</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Child preferred bottle</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Child refused food</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Child refused</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Child's attitude</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Inconvenient</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Mother at school</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Mother working</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Mother busy</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Insufficient milk</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Nipple, breast problem</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Health problem</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Mother ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Child ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Child died</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Child had diarrhea</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Improve child health</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Breastmilk problem</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know if ever breastfed</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WHYSTBRFD_03" name="W_WHYSTBRFD_03" files="W" intrvl="discrete">
  <labl>Reason stopped breastfeeding (third to last child)</labl>
  <imputation>Reason stopped breastfeeding (third to last child)</imputation>
  <security>Reason stopped breastfeeding (third to last child)</security>
  <embargo>Reason stopped breastfeeding (third to last child)</embargo>
  <respUnit>Reason stopped breastfeeding (third to last child)</respUnit>
  <qstn>
    <qstnLit>434) Why did you stop breastfeeding (NAME)?

MOTHER ILL/WEAK 01
CHILD ILL/WEAK 02
CHILD DIED 03
BREAST/NIPPLE PROBLEM 04
INSUFFICIENT MILK 05
MOTHER WORKING 06
CHILD REFUSED 07
WEANING AGE 08
BECAME PREGNANT 09
STARTED USING CONTRACEPTION 10
OTHER (SPECIFY):___ 11</qstnLit>
  </qstn>
  <catgry>
    <catValu>95</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>Mother's figure concern</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>Husband disapproved</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>Other reason</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>Wanted another child</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>Wanted to start method</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>Started using method</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Became pregnant</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Reproductive/family planning reason</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Weaning age</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Child preferred bottle</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Child refused food</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Child refused</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Child's attitude</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Inconvenient</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Mother at school</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Mother working</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Mother busy</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Insufficient milk</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Nipple, breast problem</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Health problem</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Mother ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Child ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Child died</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Child had diarrhea</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Improve child health</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Breastmilk problem</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know if ever breastfed</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WHYSTBRFD_04" name="W_WHYSTBRFD_04" files="W" intrvl="discrete">
  <labl>Reason stopped breastfeeding (fourth to last child)</labl>
  <imputation>Reason stopped breastfeeding (fourth to last child)</imputation>
  <security>Reason stopped breastfeeding (fourth to last child)</security>
  <embargo>Reason stopped breastfeeding (fourth to last child)</embargo>
  <respUnit>Reason stopped breastfeeding (fourth to last child)</respUnit>
  <qstn>
    <qstnLit>434) Why did you stop breastfeeding (NAME)?

MOTHER ILL/WEAK 01
CHILD ILL/WEAK 02
CHILD DIED 03
BREAST/NIPPLE PROBLEM 04
INSUFFICIENT MILK 05
MOTHER WORKING 06
CHILD REFUSED 07
WEANING AGE 08
BECAME PREGNANT 09
STARTED USING CONTRACEPTION 10
OTHER (SPECIFY):___ 11</qstnLit>
  </qstn>
  <catgry>
    <catValu>95</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>Mother's figure concern</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>Husband disapproved</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>Other reason</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>Wanted another child</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>Wanted to start method</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>Started using method</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Became pregnant</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Reproductive/family planning reason</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Weaning age</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Child preferred bottle</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Child refused food</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Child refused</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Child's attitude</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Inconvenient</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Mother at school</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Mother working</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Mother busy</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Insufficient milk</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Nipple, breast problem</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Health problem</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Mother ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Child ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Child died</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Child had diarrhea</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Improve child health</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Breastmilk problem</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know if ever breastfed</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WHYSTBRFD_05" name="W_WHYSTBRFD_05" files="W" intrvl="discrete">
  <labl>Reason stopped breastfeeding (fifth to last child)</labl>
  <imputation>Reason stopped breastfeeding (fifth to last child)</imputation>
  <security>Reason stopped breastfeeding (fifth to last child)</security>
  <embargo>Reason stopped breastfeeding (fifth to last child)</embargo>
  <respUnit>Reason stopped breastfeeding (fifth to last child)</respUnit>
  <qstn>
    <qstnLit>434) Why did you stop breastfeeding (NAME)?

MOTHER ILL/WEAK 01
CHILD ILL/WEAK 02
CHILD DIED 03
BREAST/NIPPLE PROBLEM 04
INSUFFICIENT MILK 05
MOTHER WORKING 06
CHILD REFUSED 07
WEANING AGE 08
BECAME PREGNANT 09
STARTED USING CONTRACEPTION 10
OTHER (SPECIFY):___ 11</qstnLit>
  </qstn>
  <catgry>
    <catValu>95</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>Mother's figure concern</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>Husband disapproved</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>Other reason</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>Wanted another child</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>Wanted to start method</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>Started using method</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Became pregnant</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Reproductive/family planning reason</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Weaning age</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Child preferred bottle</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Child refused food</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Child refused</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Child's attitude</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Inconvenient</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Mother at school</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Mother working</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Mother busy</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Insufficient milk</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Nipple, breast problem</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Health problem</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Mother ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Child ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Child died</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Child had diarrhea</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Improve child health</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Breastmilk problem</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know if ever breastfed</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WHYSTBRFD_06" name="W_WHYSTBRFD_06" files="W" intrvl="discrete">
  <labl>Reason stopped breastfeeding (sixth to last child)</labl>
  <imputation>Reason stopped breastfeeding (sixth to last child)</imputation>
  <security>Reason stopped breastfeeding (sixth to last child)</security>
  <embargo>Reason stopped breastfeeding (sixth to last child)</embargo>
  <respUnit>Reason stopped breastfeeding (sixth to last child)</respUnit>
  <catgry>
    <catValu>95</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>Mother's figure concern</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>Husband disapproved</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>Other reason</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>Wanted another child</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>Wanted to start method</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>Started using method</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Became pregnant</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Reproductive/family planning reason</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Weaning age</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Child preferred bottle</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Child refused food</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Child refused</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Child's attitude</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Inconvenient</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Mother at school</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Mother working</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Mother busy</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Insufficient milk</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Nipple, breast problem</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Health problem</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Mother ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Child ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Child died</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Child had diarrhea</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Improve child health</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Breastmilk problem</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know if ever breastfed</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_DIATRORSHEARD" name="W_DIATRORSHEARD" files="W" intrvl="discrete">
  <labl>Heard of ORS for diarrhea treatment</labl>
  <imputation>Heard of ORS for diarrhea treatment</imputation>
  <security>Heard of ORS for diarrhea treatment</security>
  <embargo>Heard of ORS for diarrhea treatment</embargo>
  <respUnit>Heard of ORS for diarrhea treatment</respUnit>
  <qstn>
    <qstnLit>483) Have you heard of a special product in a packet that you can get for the treatment of diarrhea and vomiting?

YES 1 (GO TO 485)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Used ORS</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Heard of ORS</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Recognized ORS packet</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>DIATRORSHEARD (V416) indicates whether the woman ever heard of using an oral rehydration solution (ORS) to treat diarrhea. ORS generally consists of drinking water with the addition of sugar and salt (in a homemade solution) or a commercial mixture of salt, glucose, potassium chloride, and sodium bicarbonate added to clean water.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ORSPREPEV" name="W_ORSPREPEV" files="W" intrvl="discrete">
  <labl>Ever prepared ORS solution</labl>
  <imputation>Ever prepared ORS solution</imputation>
  <security>Ever prepared ORS solution</security>
  <embargo>Ever prepared ORS solution</embargo>
  <respUnit>Ever prepared ORS solution</respUnit>
  <qstn>
    <qstnLit>485) Have you ever prepared a solution with one of these packets to treat diarrhea for yourself or someone else?

(SHOW THE PACKET)

YES 1
NO 2 (GO TO 488)</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Used in last 2 weeks</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Used previously</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the 3 to 5 years before the survey and have heard of ORS (oral rehydration solution), ORSPREPEV (V422) indicates whether the respondent has ever prepared a solution from an ORS packet to treat diarrhea, either for herself or for someone else.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ORSPREPWAT" name="W_ORSPREPWAT" files="W" intrvl="discrete">
  <labl>Amount of water (in mL) used for ORS</labl>
  <imputation>Amount of water (in mL) used for ORS</imputation>
  <security>Amount of water (in mL) used for ORS</security>
  <embargo>Amount of water (in mL) used for ORS</embargo>
  <respUnit>Amount of water (in mL) used for ORS</respUnit>
  <qstn>
    <qstnLit>487) How much water did you use to prepare the liquid from the special packet for diarrhea?

1/2 LITER / 1/2 CUP 01
1 LITER / 1 CUP 02
1 1/2 LITERS / 1 1/2 CUPS 03
2 LITERS / 2 CUPS 04
ACCORDING TO PACKET INSTRUCTIONS 05
OTHER (SPECIFY): ___ 06
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>0250</catValu>
    <labl>250</labl>
  </catgry>
  <catgry>
    <catValu>0750</catValu>
    <labl>750</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>1000</labl>
  </catgry>
  <catgry>
    <catValu>9993</catValu>
    <labl>Did not use whole packet</labl>
  </catgry>
  <catgry>
    <catValu>9994</catValu>
    <labl>Followed instructions on packet</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Unknown quantity</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Other uncoded sizes</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the 3 to 5 years before the survey and have prepared ORS, ORSPREPWAT (V423) reports the quantity of water, measured in milliliters, used in the preparation of the oral rehydration solution.

Most samples include fixed categories such as 1/2 liter, 1 liter, and 1-1/2 liters, which are then recoded as 500, 1000, and 1500 milliliters. Some responses are also recorded as bottle sizes, such as beer bottle or coke bottle; these are also recoded in ORSPREPWAT into their respective sizes (333 and 250 milliliters, respectively). If the size of a particular container (e.g., a glass) was not known, this response is recorded as "Unknown quantity" (code "9995").</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ORSINFOSRC" name="W_ORSINFOSRC" files="W" intrvl="discrete">
  <labl>Source of information on preparing ORS for diarrhea treatment</labl>
  <imputation>Source of information on preparing ORS for diarrhea treatment</imputation>
  <security>Source of information on preparing ORS for diarrhea treatment</security>
  <embargo>Source of information on preparing ORS for diarrhea treatment</embargo>
  <respUnit>Source of information on preparing ORS for diarrhea treatment</respUnit>
  <qstn>
    <qstnLit>490) Who taught you how to prepare the home solution made with sugar, salt, and water, and which you gave to (NAME) when he/she had diarrhea?

PUBLIC SECTOR

HOSPITAL 11
MEDICAL CENTER 12
MOTHER AND CHILD CARE CENTER 13
DISPENSARY 14
MOBILE CLINIC 15
FIRST AID WORKER/MIDWIFE 16

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL 21
PRIVATE PHARMACY 22
PRIVATE DOCTOR'S OFFICE 23
PRIVATE DISPENSARY 24

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE 31
NEIGHBOR/RELATIVE 32

OTHER (SPECIFY): ___ 41</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>PUBLIC SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>Government hospital</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Government health center</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>Rural health center</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>Government mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>Government health post</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>Government health worker</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>Community health worker</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>Village health guide/worker</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>Government paramedic</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>First aid worker</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>Family welfare worker</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>Lady health visitor</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>Maternal child health (MCH) center</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>Government pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>PRIVATE MEDICAL SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Private hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>Private doctor</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>Private pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>Private mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>Private community health worker</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>RELIGIOUS/MISSION</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>Religious hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>Religious health post</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>Religious pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>400</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>410</catValu>
    <labl>Shop</labl>
  </catgry>
  <catgry>
    <catValu>420</catValu>
    <labl>Traditional practitioner</labl>
  </catgry>
  <catgry>
    <catValu>430</catValu>
    <labl>Friend/relative</labl>
  </catgry>
  <catgry>
    <catValu>440</catValu>
    <labl>Media</labl>
  </catgry>
  <catgry>
    <catValu>441</catValu>
    <labl>Radio</labl>
  </catgry>
  <catgry>
    <catValu>442</catValu>
    <labl>Printed material</labl>
  </catgry>
  <catgry>
    <catValu>443</catValu>
    <labl>TV</labl>
  </catgry>
  <catgry>
    <catValu>450</catValu>
    <labl>Immunization card</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who prepared ORS for their child's diarrhea in the past 2 weeks, ORSINFOSRC (V425) reports where she learned about preparing a homemade ORS fluid for diarrhea treatment. Response categories vary across samples.  See Comparability.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ORSPRIVDR" name="W_ORSPRIVDR" files="W" intrvl="discrete">
  <labl>Known source for ORS: Private doctor</labl>
  <imputation>Known source for ORS: Private doctor</imputation>
  <security>Known source for ORS: Private doctor</security>
  <embargo>Known source for ORS: Private doctor</embargo>
  <respUnit>Known source for ORS: Private doctor</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSPRIVDR (V424L) indicates whether, in response to an open-ended question, the woman reported a private doctor as a source for oral rehydration solution (ORS). 

ORS is a typically used to treat dehydration in individuals with diarrhea.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ORSPRIVDRUG" name="W_ORSPRIVDRUG" files="W" intrvl="discrete">
  <labl>Known source for ORS: Private pharmacy, drug store, or dispensary</labl>
  <imputation>Known source for ORS: Private pharmacy, drug store, or dispensary</imputation>
  <security>Known source for ORS: Private pharmacy, drug store, or dispensary</security>
  <embargo>Known source for ORS: Private pharmacy, drug store, or dispensary</embargo>
  <respUnit>Known source for ORS: Private pharmacy, drug store, or dispensary</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N

*****

488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N

*****

488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSPRIVDRUG (V424K) indicates whether, in response to an open-ended question, the woman reported a private pharmacy, drug store, or dispensary as a source for oral rehydration solution (ORS). 

ORS is a typically used to treat dehydration in individuals with diarrhea.

Some samples in the "ORS" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of private, formal drug vendors that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in ORSPUBHC.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ORSPRIVHOS" name="W_ORSPRIVHOS" files="W" intrvl="discrete">
  <labl>Known source for ORS: Private hospital/clinic</labl>
  <imputation>Known source for ORS: Private hospital/clinic</imputation>
  <security>Known source for ORS: Private hospital/clinic</security>
  <embargo>Known source for ORS: Private hospital/clinic</embargo>
  <respUnit>Known source for ORS: Private hospital/clinic</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSPRIVHOS (V424J) indicates whether, in response to an open-ended question, the woman reported a private hospital or clinic as a source for an oral rehydration solution (ORS). 

ORS is a typically used to treat dehydration in individuals with diarrhea.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ORSPUBFW" name="W_ORSPUBFW" files="W" intrvl="discrete">
  <labl>Known source for ORS: Public fieldworker</labl>
  <imputation>Known source for ORS: Public fieldworker</imputation>
  <security>Known source for ORS: Public fieldworker</security>
  <embargo>Known source for ORS: Public fieldworker</embargo>
  <respUnit>Known source for ORS: Public fieldworker</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSPUBFW (V424E) indicates whether, in response to an open-ended question, the woman reported a public fieldworker as a source for an oral rehydration solution (ORS). 

ORS is a typically used to treat dehydration in individuals with diarrhea.

Some samples in the "ORS" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public fieldworkers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in ORSPUBHC.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ORSPUBHC" name="W_ORSPUBHC" files="W" intrvl="discrete">
  <labl>Known source for ORS: Public health center</labl>
  <imputation>Known source for ORS: Public health center</imputation>
  <security>Known source for ORS: Public health center</security>
  <embargo>Known source for ORS: Public health center</embargo>
  <respUnit>Known source for ORS: Public health center</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSPUBHC (V424B) indicates whether, in response to an open-ended question, the woman reported a public health center as a source for oral rehydration solution (ORS). 

ORS is a typically used to treat dehydration in individuals with diarrhea.

Some samples in the "ORS" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public health centers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in ORSPUBHC.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ORSPUBHOS" name="W_ORSPUBHOS" files="W" intrvl="discrete">
  <labl>Known source for ORS: Public hospital</labl>
  <imputation>Known source for ORS: Public hospital</imputation>
  <security>Known source for ORS: Public hospital</security>
  <embargo>Known source for ORS: Public hospital</embargo>
  <respUnit>Known source for ORS: Public hospital</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSPUBHOS (V424A) indicates whether, in response to an open-ended question, the woman reported a public hospital as a source for oral rehydration solution (ORS). 

ORS is a typically used to treat dehydration in individuals with diarrhea.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ORSPUBHP" name="W_ORSPUBHP" files="W" intrvl="discrete">
  <labl>Known source for ORS: Public health post</labl>
  <imputation>Known source for ORS: Public health post</imputation>
  <security>Known source for ORS: Public health post</security>
  <embargo>Known source for ORS: Public health post</embargo>
  <respUnit>Known source for ORS: Public health post</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSPUBHP (V424C) indicates, in response to an open-ended question, whether the woman reported a public health post as a source for oral rehydration solution (ORS). 

ORS is a typically used to treat dehydration in individuals with diarrhea.

Some samples in the "ORS" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ORSPUBMOB" name="W_ORSPUBMOB" files="W" intrvl="discrete">
  <labl>Known source for ORS: Public mobile clinic</labl>
  <imputation>Known source for ORS: Public mobile clinic</imputation>
  <security>Known source for ORS: Public mobile clinic</security>
  <embargo>Known source for ORS: Public mobile clinic</embargo>
  <respUnit>Known source for ORS: Public mobile clinic</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSPUBMOB (V424D) indicates whether, in response to an open-ended question, the woman reported a public mobile clinic as a source for oral rehydration solution (ORS). 

ORS is a typically used to treat dehydration in individuals with diarrhea.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ORSOTHER" name="W_ORSOTHER" files="W" intrvl="discrete">
  <labl>Known source of ORS: Other</labl>
  <imputation>Known source of ORS: Other</imputation>
  <security>Known source of ORS: Other</security>
  <embargo>Known source of ORS: Other</embargo>
  <respUnit>Known source of ORS: Other</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSOTHER (V424X) indicates whether, in response to an open-ended question, the woman reported some "other" place as a source for oral rehydration solution (ORS). The meaning of "other" depends on the specific response categories included in a given sample.

ORS is a typically used to treat dehydration in individuals with diarrhea.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ORSNE1" name="W_ORSNE1" files="W" intrvl="discrete">
  <labl>Known source for ORS: Private pharmacy (Niger)</labl>
  <imputation>Known source for ORS: Private pharmacy (Niger)</imputation>
  <security>Known source for ORS: Private pharmacy (Niger)</security>
  <embargo>Known source for ORS: Private pharmacy (Niger)</embargo>
  <respUnit>Known source for ORS: Private pharmacy (Niger)</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSNE1 indicates whether, in response to an open-ended question, the woman reported a private pharmacy as a source for oral rehydration solution (ORS). ORS is typically used to treat dehydration in individuals with diarrhea. This response is country-specific to Niger. 

Some samples in the "ORS" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

ORSNE1 is combined with ORSNE2 (private dispensary) and ORSNE3 (private pharmaceutic depot) in ORSPRIVDRUG (all private, formal drug vendors) for the 1992 Niger sample. IPUMS-DHS users interested in using ORSNE1 are encouraged to review ORSPRIVDRUG for a more comprehensive response category.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ORSNE2" name="W_ORSNE2" files="W" intrvl="discrete">
  <labl>Known source for ORS: Private dispensary (Niger)</labl>
  <imputation>Known source for ORS: Private dispensary (Niger)</imputation>
  <security>Known source for ORS: Private dispensary (Niger)</security>
  <embargo>Known source for ORS: Private dispensary (Niger)</embargo>
  <respUnit>Known source for ORS: Private dispensary (Niger)</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSNE2 indicates whether, in response to an open-ended question, the woman reported a private dispensary as a source for oral rehydration solution (ORS). ORS is typically used to treat dehydration in individuals with diarrhea. This response is country-specific to Niger. 

Some samples in the "ORS" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

ORSNE2 is combined with ORSNE1 (private pharmacy) and ORSNE3 (private pharmaceutic depot) in ORSPRIVDRUG (all private, formal drug vendors) for the 1992 Niger sample. IPUMS-DHS users interested in using ORSNE2 are encouraged to review ORSPRIVDRUG for a more comprehensive response category.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ORSNE3" name="W_ORSNE3" files="W" intrvl="discrete">
  <labl>Known source for ORS: Private pharmaceutic depot (Niger)</labl>
  <imputation>Known source for ORS: Private pharmaceutic depot (Niger)</imputation>
  <security>Known source for ORS: Private pharmaceutic depot (Niger)</security>
  <embargo>Known source for ORS: Private pharmaceutic depot (Niger)</embargo>
  <respUnit>Known source for ORS: Private pharmaceutic depot (Niger)</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSNE3 indicates whether, in response to an open-ended question, the woman reported a private pharmaceutic depot as a source for oral rehydration solution (ORS). ORS is typically used to treat dehydration in individuals with diarrhea. This response is country-specific to Niger. 

Some samples in the "ORS" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

ORSNE3 is combined with ORSNE1 (private pharmacy) and ORSNE2 (private dispensary) in ORSPRIVDRUG (all private, formal drug vendors) for the 1992 Niger sample. IPUMS-DHS users interested in using ORSNE3 are encouraged to review ORSPRIVDRUG for a more comprehensive response category.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIOMEASCODE" name="W_BIOMEASCODE" files="W" intrvl="discrete">
  <labl>Code of person measuring children's height and weight</labl>
  <imputation>Code of person measuring children's height and weight</imputation>
  <security>Code of person measuring children's height and weight</security>
  <embargo>Code of person measuring children's height and weight</embargo>
  <respUnit>Code of person measuring children's height and weight</respUnit>
  <qstn>
    <qstnLit>913)

NAME OF MEASURER: ___

NAME OF ASSISTANT: ___

MOTHER 90
OTHER MEMBERS OF HOUSEHOLD 91
OTHER PERSONS 92</qstnLit>
  </qstn>
  <catgry>
    <catValu>99999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>99998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>99995</catValu>
    <labl>No living children under 5</labl>
  </catgry>
  <txt>For women who gave birth in the three to five years before the survey, BIOMEASCODE (V420) reports the code assigned to the person measuring their children's height and weight. Codes are sample-specific; a given numeric code in one sample refers to a different person than the same numeric code in another sample.

Using the measurer and assistant measurer (BIOASSTMEASCODE (V421)) codes, researchers can evaluate whether the quality of responses (e.g., the number of "out of range" cases) depended on the person measuring the children.</txt>
  <concept>
    <title>Female biometrics, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIOASSTMEASCODE" name="W_BIOASSTMEASCODE" files="W" intrvl="discrete">
  <labl>Code of assistant measurer</labl>
  <imputation>Code of assistant measurer</imputation>
  <security>Code of assistant measurer</security>
  <embargo>Code of assistant measurer</embargo>
  <respUnit>Code of assistant measurer</respUnit>
  <qstn>
    <qstnLit>913)

NAME OF MEASURER: ___

NAME OF ASSISTANT: ___

MOTHER 90
OTHER MEMBERS OF HOUSEHOLD 91
OTHER PERSONS 92</qstnLit>
  </qstn>
  <catgry>
    <catValu>9992</catValu>
    <labl>Child's mother</labl>
  </catgry>
  <catgry>
    <catValu>9993</catValu>
    <labl>Household member</labl>
  </catgry>
  <catgry>
    <catValu>9994</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>No living children under 5</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the three to five years before the survey, BIOASSTMEASCODE (V421) reports the code assigned to the assistant measurer of their children's height and weight. Codes are sample-specific; a given numeric code in one sample refers to a different person than the same numeric code in another sample.

Using the measurer (BIOMEASCODE (V420)) and assistant measurer codes, researchers can evaluate whether the quality of responses (e.g., the number of "out of range" cases) depended on the person measuring the children.</txt>
  <concept>
    <title>Female biometrics, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WEIGHTFEM" name="W_WEIGHTFEM" files="W" intrvl="discrete">
  <labl>Weight of woman (kilos)</labl>
  <imputation>Weight of woman (kilos)</imputation>
  <security>Weight of woman (kilos)</security>
  <embargo>Weight of woman (kilos)</embargo>
  <respUnit>Weight of woman (kilos)</respUnit>
  <qstn>
    <qstnLit>909) WEIGHT (IN KILOGRAMS):

WEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9994</catValu>
    <labl>Not present</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Refused</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Out of plausible range</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>WEIGHTFEM (V437) reports the woman's weight as measured by DHS personnel. There is one implied decimal place in the weight. Dividing WEIGHTFEM by 10 will yield the woman's measured weight in kilograms.</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_HEIGHTFEM" name="W_HEIGHTFEM" files="W" intrvl="discrete">
  <labl>Height of woman in centimeters</labl>
  <imputation>Height of woman in centimeters</imputation>
  <security>Height of woman in centimeters</security>
  <embargo>Height of woman in centimeters</embargo>
  <respUnit>Height of woman in centimeters</respUnit>
  <qstn>
    <qstnLit>907) HEIGHT (IN CENTIMETERS):

HEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9994</catValu>
    <labl>Not present</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Refused</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Out of plausible range</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>HEIGHTFEM (V438) reports the woman's height as measured by DHS personnel. HEIGHTFEM values are reported in millimeters, to preserve one centimeter decimal place without requiring the use of a decimal point. Dividing HEIGHTFEM by 10 will yield the woman's measured height in centimeters.</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIOFHTAPCT" name="W_BIOFHTAPCT" files="W" intrvl="discrete">
  <labl>Height for age percentile for respondents to women's survey</labl>
  <imputation>Height for age percentile for respondents to women's survey</imputation>
  <security>Height for age percentile for respondents to women's survey</security>
  <embargo>Height for age percentile for respondents to women's survey</embargo>
  <respUnit>Height for age percentile for respondents to women's survey</respUnit>
  <qstn>
    <qstnLit>907) HEIGHT (IN CENTIMETERS):

HEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9995</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFHTAPCT (V439) reports the respondent's height-for-age percentile, based on smoothed percentile growth charts by age and sex developed by the U.S. Centers for Disease Control.

The reference standard contains data for children up to age 18. For all women age 18 and over, the value for 215 months (17 years, 11 months) is used, based on the assumption that women are fully grown by age18.

HEIGHTFEM (V438) reports the respondent's length or height as measured by DHS personnel.</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIOFHTASDRM" name="W_BIOFHTASDRM" files="W" intrvl="discrete">
  <labl>Height for age standard deviations from the reference median (for respondents to female survey)</labl>
  <imputation>Height for age standard deviations from the reference median (for respondents to female survey)</imputation>
  <security>Height for age standard deviations from the reference median (for respondents to female survey)</security>
  <embargo>Height for age standard deviations from the reference median (for respondents to female survey)</embargo>
  <respUnit>Height for age standard deviations from the reference median (for respondents to female survey)</respUnit>
  <qstn>
    <qstnLit>907) HEIGHT (IN CENTIMETERS):

HEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9995</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFHTASDRM (V440) reports the difference between the respondent's height and the median height of a reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score. BIOFHTASDRM values are reported in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing BIOFHTASDRM by 100 will yield the height-for-age Z-score (HAZ) value. 

The reference standard contains data for children up to age 18. For all women age 18 and over, the value of 215 months (17 years, 11 months) is used, based on the assumption that women are fully grown by age 18.

HEIGHTFEM (V438) reports the respondent's length or height, as measured by DHS personnel.

The complementary DHS variable BIOFHTAPCT (V439) reports the respondent's height-for-age percentile within the same reference population used in BIOFHTASDRM. The complementary DHS variable BIOFHTAPCTRM (V441) reports the respondent's height-for-age as a percentage of the median of the same reference population. Unlike z-scores, percentiles do not allow comparison across age and sex and cannot assess longitudinal change in growth status.</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIOFHTAPCTRM" name="W_BIOFHTAPCTRM" files="W" intrvl="discrete">
  <labl>Height for Age percent of reference median for respondents to female survey</labl>
  <imputation>Height for Age percent of reference median for respondents to female survey</imputation>
  <security>Height for Age percent of reference median for respondents to female survey</security>
  <embargo>Height for Age percent of reference median for respondents to female survey</embargo>
  <respUnit>Height for Age percent of reference median for respondents to female survey</respUnit>
  <qstn>
    <qstnLit>907) HEIGHT (IN CENTIMETERS):

HEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>99995</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>99998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFHTAPCTRM (V441) reports the respondent's height-for-age as a percent of the median height for a reference population of the same age and sex.  For this variable, the reference population was developed by the U.S. Centers for Disease Control.

The reference standard contains data for children up to age 18. For all women age 18 and over, the value of 215 months (17 years, 11 months) is used, based on the assumption that women are fully grown by age 18.

HEIGHTFEM (V438) reports the respondent's length or height as measured by DHS personnel.

The related variable BIOFHTAPCT (V439) reports the respondent's height-for-age percentile relative to smoothed percentile growth charts by age and sex, for the same reference population.</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIOFWTHTRMDHS" name="W_BIOFWTHTRMDHS" files="W" intrvl="discrete">
  <labl>Weight for height percent of reference median (DHS) (respondents to women's survey)</labl>
  <imputation>Weight for height percent of reference median (DHS) (respondents to women's survey)</imputation>
  <security>Weight for height percent of reference median (DHS) (respondents to women's survey)</security>
  <embargo>Weight for height percent of reference median (DHS) (respondents to women's survey)</embargo>
  <respUnit>Weight for height percent of reference median (DHS) (respondents to women's survey)</respUnit>
  <qstn>
    <qstnLit>909) WEIGHT (IN KILOGRAMS):

WEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>99995</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>99998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFWTHTRMDHS (V442) reports the respondent's weight-for-height as a percent of the median weight for a reference population of the same height. For this variable, the reference population was developed by the DHS Program. This index has been adjusted for pregnant women according to duration of pregnancy.

The following variables report the respondent's weight for height as a percent of the median weight for different reference populations:
BIOFWTHTRMFOG (V443) uses Metropolitan Life or Fogarty reference standards
BIOFWTHTRMWHO (V444) uses WHO reference standards</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIOFWTHTRMFOG" name="W_BIOFWTHTRMFOG" files="W" intrvl="discrete">
  <labl>Weight for height percent of reference median (MetLife or Fogarty) (respondents to women's survey)</labl>
  <imputation>Weight for height percent of reference median (MetLife or Fogarty) (respondents to women's survey)</imputation>
  <security>Weight for height percent of reference median (MetLife or Fogarty) (respondents to women's survey)</security>
  <embargo>Weight for height percent of reference median (MetLife or Fogarty) (respondents to women's survey)</embargo>
  <respUnit>Weight for height percent of reference median (MetLife or Fogarty) (respondents to women's survey)</respUnit>
  <qstn>
    <qstnLit>909) WEIGHT (IN KILOGRAMS):

WEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>99995</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>99998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFWTHTRMFOG (V443) reports the respondent's weight-for-height as a percent of the median weight for a reference population of the same height. This variable uses the Metropolitan Life or Fogarty reference standard. This index has been adjusted for pregnant women according to duration of pregnancy.

The following variables report the respondent's weight for height as a percent of the median weight for different reference populations:
BIOFWTHTRMDHS (V442) uses a DHS reference standard
BIOFWTHTRMWHO (V444) uses the WHO reference standard</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIOFWTHTRMWHO" name="W_BIOFWTHTRMWHO" files="W" intrvl="discrete">
  <labl>Weight for height percent of reference median (WHO) (respondents to women's survey)</labl>
  <imputation>Weight for height percent of reference median (WHO) (respondents to women's survey)</imputation>
  <security>Weight for height percent of reference median (WHO) (respondents to women's survey)</security>
  <embargo>Weight for height percent of reference median (WHO) (respondents to women's survey)</embargo>
  <respUnit>Weight for height percent of reference median (WHO) (respondents to women's survey)</respUnit>
  <qstn>
    <qstnLit>909) WEIGHT (IN KILOGRAMS):

WEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>99995</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>99998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFWTHTRMWHO (V444) reports the respondent's weight-for-height as a percent of the median weight for a reference population of the same height. This variable uses the World Health Organization (WHO) reference standard. This index has been adjusted for pregnant women according to duration of pregnancy.

The following variables report the respondent's weight for height as a percent of the median weight for different reference populations:
BIOFWTHTRMDHS (V442) uses a DHS reference standard
BIOFWTHTRMFOG (V444) uses the Metropolitan Life or Fogarty reference standard</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIOFBMI" name="W_BIOFBMI" files="W" intrvl="discrete">
  <labl>Body Mass Index (BMI) for respondents to the women's survey</labl>
  <imputation>Body Mass Index (BMI) for respondents to the women's survey</imputation>
  <security>Body Mass Index (BMI) for respondents to the women's survey</security>
  <embargo>Body Mass Index (BMI) for respondents to the women's survey</embargo>
  <respUnit>Body Mass Index (BMI) for respondents to the women's survey</respUnit>
  <qstn>
    <qstnLit>909) WEIGHT (IN KILOGRAMS):

WEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9995</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFBMI (V445) reports the female respondent's body mass index (BMI). BMI is an anthropometric measure relating weight to height, equal to body weight (kilograms) divided by height (meters) squared (W/(H^2)). Also known as the Quetelet Index, BMI is a measure of acute nutritional status, based on the Fogarty Metropolitan Life tables of ideal weight for height. 

The DHS Guide to Statistics offers the following guidelines for interpreting BMI scores for women age 15-49:

 Severely thin: less than 16.0 
Moderately thin: 16.0 to 16.9 
Mildly thin: 17.0 to 18.4 
Normal: 18.5 to 24.9 
Overweight: 25.0 to 29.9 
Obese: 30.0 or more

The original height and weight values used to calculate BMI are also included in IPUMS-DHS.  WEIGHTFEM (V437) reports the respondent's weight in kilograms, as measured by DHS personnel; HEIGHTFEM (V438) reports the person's length or height in centimeters, as measured by DHS personnel. 

For an alternate measure of female nutrition, IPUMS-DHS users may also be interested in BIOFROHRER (V446), which reports the respondent's Rohrer's Index. This measure is equal to body weight (kilograms) divided by height (meters) cubed (W/(H^3)).</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIOFROHRER" name="W_BIOFROHRER" files="W" intrvl="discrete">
  <labl>Rohrer's index (mass/height cubed) (for respondents to female survey)</labl>
  <imputation>Rohrer's index (mass/height cubed) (for respondents to female survey)</imputation>
  <security>Rohrer's index (mass/height cubed) (for respondents to female survey)</security>
  <embargo>Rohrer's index (mass/height cubed) (for respondents to female survey)</embargo>
  <respUnit>Rohrer's index (mass/height cubed) (for respondents to female survey)</respUnit>
  <qstn>
    <qstnLit>909) WEIGHT (IN KILOGRAMS):

WEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9995</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFROHRER (V446) reports the respondent's Rohrer's Index. Rohrer's Index is an anthropometric measure relating weight to height, equal to body weight (kilograms) divided by height (meters) cubed (W/(H^3)). Rohrer's Index is a measure of acute nutritional status, and may be used as an alternative to Body Mass Index. 

The original height and weight values used to calculate Rohrer's Index are also included in IPUMS-DHS. WEIGHTFEM (V437) reports the respondent's weight in kilograms as measured by DHS personnel; HEIGHTFEM (V438) reports their length or height in centimeters as measured by DHS personnel.

For an alternate measure of female nutrition, IPUMS-DHS users may also be interested in BIOFBMI (V445), which reports the respondent's Body Mass Index (BMI), which is equal to body weight (kilograms) divided by height (meters) squared (W/(H^2)).</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIOFWHYNOTMEAS" name="W_BIOFWHYNOTMEAS" files="W" intrvl="discrete">
  <labl>Result of measurement of the respondent</labl>
  <imputation>Result of measurement of the respondent</imputation>
  <security>Result of measurement of the respondent</security>
  <embargo>Result of measurement of the respondent</embargo>
  <respUnit>Result of measurement of the respondent</respUnit>
  <qstn>
    <qstnLit>912) RESULT (WEIGHT AND HEIGHT):

MEASURED 1
CHILD SICK 2
ABSENT 3
REFUSED 4
MOTHER REFUSED 5
OTHER (SPECIFY): ___ 6</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Measured</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Not measured</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Sick</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Not present</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Refused</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Incapacitated</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Technical problems</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>No measurement found in household</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFWHYNOTMEAS (V447) indicates whether the respondent was measured for height and weight, or, if not, why she was not measured. All "Not measured" responses have a common first digit of "1," while the second digit reveals the reason (e.g., sick, not present, refused).</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BIOFARMCIRCCM" name="W_BIOFARMCIRCCM" files="W" intrvl="discrete">
  <labl>Arm circumference (cm)</labl>
  <imputation>Arm circumference (cm)</imputation>
  <security>Arm circumference (cm)</security>
  <embargo>Arm circumference (cm)</embargo>
  <respUnit>Arm circumference (cm)</respUnit>
  <qstn>
    <qstnLit>910) ARM CIRCUMFERENCE (IN CENTIMETERS):

CIRCUMFERENCE: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the three to five years before the survey, BIOFARMCIRCCM (V436) reports the circumference of the respondent's left upper arm in millimeters. Dividing BIOFARMCIRCCM by 10 yields the respondent's measured arm circumference in centimeters.

IPUMS-DHS has not recoded any numeric values in BIOFARMCIRCCM. However, some values are outside of a plausible range for adult arm circumference. Researchers are encouraged to set upper and lower bounds to reflect a plausible range.</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_SOIL" name="W_SOIL" files="W" intrvl="discrete">
  <labl>Soil type</labl>
  <imputation>Soil type</imputation>
  <security>Soil type</security>
  <embargo>Soil type</embargo>
  <respUnit>Soil type</respUnit>
  <catgry>
    <catValu>-998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>0001</catValu>
    <labl>Haplic Acrisols</labl>
  </catgry>
  <catgry>
    <catValu>0002</catValu>
    <labl>Haplic Acrisols (Alumic)</labl>
  </catgry>
  <catgry>
    <catValu>0003</catValu>
    <labl>Haplic Acrisols (Ferric)</labl>
  </catgry>
  <catgry>
    <catValu>0004</catValu>
    <labl>Haplic Acrisols (Humic)</labl>
  </catgry>
  <catgry>
    <catValu>0005</catValu>
    <labl>Plinthic Acrisols</labl>
  </catgry>
  <catgry>
    <catValu>0006</catValu>
    <labl>Vetic Acrisols</labl>
  </catgry>
  <catgry>
    <catValu>0007</catValu>
    <labl>Haplic Albeluvisols</labl>
  </catgry>
  <catgry>
    <catValu>0008</catValu>
    <labl>Histic Albeluvisols</labl>
  </catgry>
  <catgry>
    <catValu>0009</catValu>
    <labl>Umbric Albeluvisols</labl>
  </catgry>
  <catgry>
    <catValu>0010</catValu>
    <labl>Cutanic Alisols</labl>
  </catgry>
  <catgry>
    <catValu>0011</catValu>
    <labl>Haplic Alisols</labl>
  </catgry>
  <catgry>
    <catValu>0012</catValu>
    <labl>Aluandic Andosols</labl>
  </catgry>
  <catgry>
    <catValu>0013</catValu>
    <labl>Haplic Andosols</labl>
  </catgry>
  <catgry>
    <catValu>0014</catValu>
    <labl>Vitric Andosols</labl>
  </catgry>
  <catgry>
    <catValu>0015</catValu>
    <labl>Albic Arenosols</labl>
  </catgry>
  <catgry>
    <catValu>0016</catValu>
    <labl>Ferralic Arenosols</labl>
  </catgry>
  <catgry>
    <catValu>0017</catValu>
    <labl>Haplic Arenosols</labl>
  </catgry>
  <catgry>
    <catValu>0018</catValu>
    <labl>Haplic Arenosols (Calcaric)</labl>
  </catgry>
  <catgry>
    <catValu>0019</catValu>
    <labl>Hypoluvic Arenosols</labl>
  </catgry>
  <catgry>
    <catValu>0020</catValu>
    <labl>Protic Arenosols</labl>
  </catgry>
  <catgry>
    <catValu>0021</catValu>
    <labl>Haplic Calcisols</labl>
  </catgry>
  <catgry>
    <catValu>0022</catValu>
    <labl>Haplic Calcisols (Sodic)</labl>
  </catgry>
  <catgry>
    <catValu>0023</catValu>
    <labl>Luvic Calcisols</labl>
  </catgry>
  <catgry>
    <catValu>0024</catValu>
    <labl>Petric Calcisols</labl>
  </catgry>
  <catgry>
    <catValu>0025</catValu>
    <labl>Endogleyic Cambisols</labl>
  </catgry>
  <catgry>
    <catValu>0026</catValu>
    <labl>Ferralic Cambisols</labl>
  </catgry>
  <catgry>
    <catValu>0027</catValu>
    <labl>Haplic Cambisols</labl>
  </catgry>
  <catgry>
    <catValu>0028</catValu>
    <labl>Haplic Cambisols (Calcaric)</labl>
  </catgry>
  <catgry>
    <catValu>0029</catValu>
    <labl>Haplic Cambisols (Chromic)</labl>
  </catgry>
  <catgry>
    <catValu>0030</catValu>
    <labl>Haplic Cambisols (Dystric)</labl>
  </catgry>
  <catgry>
    <catValu>0031</catValu>
    <labl>Haplic Cambisols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0032</catValu>
    <labl>Haplic Cambisols (Humic)</labl>
  </catgry>
  <catgry>
    <catValu>0033</catValu>
    <labl>Haplic Cambisols (Sodic)</labl>
  </catgry>
  <catgry>
    <catValu>0034</catValu>
    <labl>Leptic Cambisols</labl>
  </catgry>
  <catgry>
    <catValu>0035</catValu>
    <labl>Vertic Cambisols</labl>
  </catgry>
  <catgry>
    <catValu>0036</catValu>
    <labl>Calcic Chernozems</labl>
  </catgry>
  <catgry>
    <catValu>0037</catValu>
    <labl>Haplic Chernozems</labl>
  </catgry>
  <catgry>
    <catValu>0038</catValu>
    <labl>Luvic Chernozems</labl>
  </catgry>
  <catgry>
    <catValu>0039</catValu>
    <labl>Haplic Cryosols</labl>
  </catgry>
  <catgry>
    <catValu>0040</catValu>
    <labl>Turbic Cryosols</labl>
  </catgry>
  <catgry>
    <catValu>0041</catValu>
    <labl>Vitric Cryosols</labl>
  </catgry>
  <catgry>
    <catValu>0042</catValu>
    <labl>Petric Durisols</labl>
  </catgry>
  <catgry>
    <catValu>0043</catValu>
    <labl>Acric Ferralsols</labl>
  </catgry>
  <catgry>
    <catValu>0044</catValu>
    <labl>Haplic Ferralsols</labl>
  </catgry>
  <catgry>
    <catValu>0045</catValu>
    <labl>Haplic Ferralsols (Rhodic)</labl>
  </catgry>
  <catgry>
    <catValu>0046</catValu>
    <labl>Haplic Ferralsols (Xanthic)</labl>
  </catgry>
  <catgry>
    <catValu>0047</catValu>
    <labl>Umbric Ferralsols</labl>
  </catgry>
  <catgry>
    <catValu>0048</catValu>
    <labl>Haplic Fluvisols</labl>
  </catgry>
  <catgry>
    <catValu>0049</catValu>
    <labl>Haplic Fluvisols (Arenic)</labl>
  </catgry>
  <catgry>
    <catValu>0050</catValu>
    <labl>Haplic Fluvisols (Calcaric)</labl>
  </catgry>
  <catgry>
    <catValu>0051</catValu>
    <labl>Haplic Fluvisols (Dystric)</labl>
  </catgry>
  <catgry>
    <catValu>0052</catValu>
    <labl>Haplic Fluvisols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0053</catValu>
    <labl>Calcic Gleysols</labl>
  </catgry>
  <catgry>
    <catValu>0054</catValu>
    <labl>Haplic Gleysols</labl>
  </catgry>
  <catgry>
    <catValu>0055</catValu>
    <labl>Haplic Gleysols (Dystric)</labl>
  </catgry>
  <catgry>
    <catValu>0056</catValu>
    <labl>Haplic Gleysols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0057</catValu>
    <labl>Mollic Gleysols</labl>
  </catgry>
  <catgry>
    <catValu>0058</catValu>
    <labl>Umbric Gleysols</labl>
  </catgry>
  <catgry>
    <catValu>0059</catValu>
    <labl>Calcic Gypsisols</labl>
  </catgry>
  <catgry>
    <catValu>0060</catValu>
    <labl>Haplic Gypsisols</labl>
  </catgry>
  <catgry>
    <catValu>0061</catValu>
    <labl>Calcic Histosols</labl>
  </catgry>
  <catgry>
    <catValu>0062</catValu>
    <labl>Cryic Histosols</labl>
  </catgry>
  <catgry>
    <catValu>0063</catValu>
    <labl>Fibric Histosols</labl>
  </catgry>
  <catgry>
    <catValu>0064</catValu>
    <labl>Hemic Histosols</labl>
  </catgry>
  <catgry>
    <catValu>0065</catValu>
    <labl>Sapric Histosols</labl>
  </catgry>
  <catgry>
    <catValu>0066</catValu>
    <labl>Calcic Kastanozems</labl>
  </catgry>
  <catgry>
    <catValu>0067</catValu>
    <labl>Haplic Kastanozems</labl>
  </catgry>
  <catgry>
    <catValu>0068</catValu>
    <labl>Haplic Leptosols</labl>
  </catgry>
  <catgry>
    <catValu>0069</catValu>
    <labl>Haplic Leptosols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0070</catValu>
    <labl>Lithic Leptosols</labl>
  </catgry>
  <catgry>
    <catValu>0071</catValu>
    <labl>Mollic Leptosols</labl>
  </catgry>
  <catgry>
    <catValu>0072</catValu>
    <labl>Rendzic Leptosols</labl>
  </catgry>
  <catgry>
    <catValu>0073</catValu>
    <labl>Haplic Lixisols</labl>
  </catgry>
  <catgry>
    <catValu>0074</catValu>
    <labl>Haplic Lixisols (Chromic)</labl>
  </catgry>
  <catgry>
    <catValu>0075</catValu>
    <labl>Haplic Lixisols (Ferric)</labl>
  </catgry>
  <catgry>
    <catValu>0076</catValu>
    <labl>Albic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0077</catValu>
    <labl>Calcic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0078</catValu>
    <labl>Gleyic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0079</catValu>
    <labl>Haplic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0080</catValu>
    <labl>Haplic Luvisols (Chromic)</labl>
  </catgry>
  <catgry>
    <catValu>0081</catValu>
    <labl>Haplic Luvisols (Ferric)</labl>
  </catgry>
  <catgry>
    <catValu>0082</catValu>
    <labl>Leptic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0083</catValu>
    <labl>Stagnic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0084</catValu>
    <labl>Vertic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0085</catValu>
    <labl>Alic Nitisols</labl>
  </catgry>
  <catgry>
    <catValu>0086</catValu>
    <labl>Haplic Nitisols (Rhodic)</labl>
  </catgry>
  <catgry>
    <catValu>0087</catValu>
    <labl>Haplic Phaeozems</labl>
  </catgry>
  <catgry>
    <catValu>0088</catValu>
    <labl>Leptic Phaeozems</labl>
  </catgry>
  <catgry>
    <catValu>0089</catValu>
    <labl>Luvic Phaeozems</labl>
  </catgry>
  <catgry>
    <catValu>0090</catValu>
    <labl>Endogleyic Planosols</labl>
  </catgry>
  <catgry>
    <catValu>0091</catValu>
    <labl>Haplic Planosols (Dystric)</labl>
  </catgry>
  <catgry>
    <catValu>0092</catValu>
    <labl>Haplic Planosols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0093</catValu>
    <labl>Luvic Planosols</labl>
  </catgry>
  <catgry>
    <catValu>0094</catValu>
    <labl>Solodic Planosols</labl>
  </catgry>
  <catgry>
    <catValu>0095</catValu>
    <labl>Acric Plinthosols</labl>
  </catgry>
  <catgry>
    <catValu>0096</catValu>
    <labl>Lixic Plinthosols</labl>
  </catgry>
  <catgry>
    <catValu>0097</catValu>
    <labl>Gleyic Podzols</labl>
  </catgry>
  <catgry>
    <catValu>0098</catValu>
    <labl>Haplic Podzols</labl>
  </catgry>
  <catgry>
    <catValu>0099</catValu>
    <labl>Aric Regosols</labl>
  </catgry>
  <catgry>
    <catValu>0100</catValu>
    <labl>Calcaric Regosols</labl>
  </catgry>
  <catgry>
    <catValu>0101</catValu>
    <labl>Haplic Regosols (Dystric)</labl>
  </catgry>
  <catgry>
    <catValu>0102</catValu>
    <labl>Haplic Regosols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0103</catValu>
    <labl>Haplic Regosols (Sodic)</labl>
  </catgry>
  <catgry>
    <catValu>0104</catValu>
    <labl>Leptic Regosols</labl>
  </catgry>
  <catgry>
    <catValu>0105</catValu>
    <labl>Gypsic Solonchaks</labl>
  </catgry>
  <catgry>
    <catValu>0106</catValu>
    <labl>Haplic Solonchaks</labl>
  </catgry>
  <catgry>
    <catValu>0107</catValu>
    <labl>Haplic Solonchaks (Sodic)</labl>
  </catgry>
  <catgry>
    <catValu>0108</catValu>
    <labl>Calcic Solonetz</labl>
  </catgry>
  <catgry>
    <catValu>0109</catValu>
    <labl>Gleyic Solonetz</labl>
  </catgry>
  <catgry>
    <catValu>0110</catValu>
    <labl>Haplic Solonetz</labl>
  </catgry>
  <catgry>
    <catValu>0111</catValu>
    <labl>Mollic Solonetz</labl>
  </catgry>
  <catgry>
    <catValu>0112</catValu>
    <labl>Luvic Stagnosols</labl>
  </catgry>
  <catgry>
    <catValu>0113</catValu>
    <labl>Haplic Umbrisols</labl>
  </catgry>
  <catgry>
    <catValu>0114</catValu>
    <labl>Leptic Umbrisols</labl>
  </catgry>
  <catgry>
    <catValu>0115</catValu>
    <labl>Calcic Vertisols</labl>
  </catgry>
  <catgry>
    <catValu>0116</catValu>
    <labl>Haplic Vertisols</labl>
  </catgry>
  <catgry>
    <catValu>0117</catValu>
    <labl>Haplic Vertisols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0118</catValu>
    <labl>Mollic Vertisols</labl>
  </catgry>
  <txt>SOIL reports the predominant soil type within a 5-kilometer circular buffer around each DHS cluster location. The soil attributes reported in SOIL are: soil class (e.g., Leptosols), with 30 class categories, and soil type within that class (e.g., Lithic Leptosols). SOIL is available for every IPUMS-DHS sample with GPS data.

SOIL is based on data from SoilGrids [URL omitted from DDI.]. SoilGrids is a system for automated soil mapping based on global soil profile and covariate data. There are 118 different soil types in the world according to SoilGrids [URL omitted from DDI.]. For the full list of codes and their meaning, see the soil legend [URL omitted from DDI.].

SOIL, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_ECOREGION" name="W_ECOREGION" files="W" intrvl="discrete">
  <labl>Ecoregion of household</labl>
  <imputation>Ecoregion of household</imputation>
  <security>Ecoregion of household</security>
  <embargo>Ecoregion of household</embargo>
  <respUnit>Ecoregion of household</respUnit>
  <catgry>
    <catValu>-0998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>10101</catValu>
    <labl>Admiralty Islands lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10102</catValu>
    <labl>Banda Sea Islands moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>10103</catValu>
    <labl>Biak-Numfoor rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10104</catValu>
    <labl>Buru rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10105</catValu>
    <labl>Central Range montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10106</catValu>
    <labl>Halmahera rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10107</catValu>
    <labl>Huon Peninsula montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10108</catValu>
    <labl>Yapen rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10109</catValu>
    <labl>Lord Howe Island subtropical forests</labl>
  </catgry>
  <catgry>
    <catValu>10110</catValu>
    <labl>Louisiade Archipelago rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10111</catValu>
    <labl>New Britain-New Ireland lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10112</catValu>
    <labl>New Britain-New Ireland montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10113</catValu>
    <labl>New Caledonia rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10114</catValu>
    <labl>Norfolk Island subtropical forests</labl>
  </catgry>
  <catgry>
    <catValu>10115</catValu>
    <labl>Northern New Guinea lowland rain and freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>10116</catValu>
    <labl>Northern New Guinea montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10117</catValu>
    <labl>Queensland tropical rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10118</catValu>
    <labl>Seram rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10119</catValu>
    <labl>Solomon Islands rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10120</catValu>
    <labl>Southeastern Papuan rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10121</catValu>
    <labl>Southern New Guinea freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>10122</catValu>
    <labl>Southern New Guinea lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10123</catValu>
    <labl>Sulawesi lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10124</catValu>
    <labl>Sulawesi montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10125</catValu>
    <labl>Trobriand Islands rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10126</catValu>
    <labl>Vanuatu rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10127</catValu>
    <labl>Vogelkop montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10128</catValu>
    <labl>Vogelkop-Aru lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10201</catValu>
    <labl>Lesser Sundas deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>10202</catValu>
    <labl>New Caledonia dry forests</labl>
  </catgry>
  <catgry>
    <catValu>10203</catValu>
    <labl>Sumba deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>10204</catValu>
    <labl>Timor and Wetar deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>10401</catValu>
    <labl>Chatham Island temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10402</catValu>
    <labl>Eastern Australian temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10403</catValu>
    <labl>Fiordland temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10404</catValu>
    <labl>Nelson Coast temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10405</catValu>
    <labl>North Island temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10406</catValu>
    <labl>Northland temperate kauri forests</labl>
  </catgry>
  <catgry>
    <catValu>10407</catValu>
    <labl>Rakiura Island temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10408</catValu>
    <labl>Richmond temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10409</catValu>
    <labl>Southeast Australia temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10410</catValu>
    <labl>South Island temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10411</catValu>
    <labl>Tasmanian Central Highland forests</labl>
  </catgry>
  <catgry>
    <catValu>10412</catValu>
    <labl>Tasmanian temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10413</catValu>
    <labl>Tasmanian temperate rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10414</catValu>
    <labl>Westland temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10701</catValu>
    <labl>Arnhem Land tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10702</catValu>
    <labl>Brigalow tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10703</catValu>
    <labl>Cape York Peninsula tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10704</catValu>
    <labl>Carpentaria tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10705</catValu>
    <labl>Einasleigh upland savanna</labl>
  </catgry>
  <catgry>
    <catValu>10706</catValu>
    <labl>Kimberly tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10707</catValu>
    <labl>Mitchell grass downs</labl>
  </catgry>
  <catgry>
    <catValu>10708</catValu>
    <labl>Trans Fly savanna and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>10709</catValu>
    <labl>Victoria Plains tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10801</catValu>
    <labl>Cantebury-Otago tussock grasslands</labl>
  </catgry>
  <catgry>
    <catValu>10802</catValu>
    <labl>Eastern Australia mulga shrublands</labl>
  </catgry>
  <catgry>
    <catValu>10803</catValu>
    <labl>Southeast Australia temperate savanna</labl>
  </catgry>
  <catgry>
    <catValu>11001</catValu>
    <labl>Australian Alps montane grasslands</labl>
  </catgry>
  <catgry>
    <catValu>11002</catValu>
    <labl>Central Range sub-alpine grasslands</labl>
  </catgry>
  <catgry>
    <catValu>11003</catValu>
    <labl>South Island montane grasslands</labl>
  </catgry>
  <catgry>
    <catValu>11101</catValu>
    <labl>Antipodes Subantarctic Islands tundra</labl>
  </catgry>
  <catgry>
    <catValu>11201</catValu>
    <labl>Coolgardie woodlands</labl>
  </catgry>
  <catgry>
    <catValu>11202</catValu>
    <labl>Esperance mallee</labl>
  </catgry>
  <catgry>
    <catValu>11203</catValu>
    <labl>Eyre and York mallee</labl>
  </catgry>
  <catgry>
    <catValu>11204</catValu>
    <labl>Jarrah-Karri forest and shrublands</labl>
  </catgry>
  <catgry>
    <catValu>11205</catValu>
    <labl>Swan Coastal Plain Scrub and Woodlands</labl>
  </catgry>
  <catgry>
    <catValu>11206</catValu>
    <labl>Mount Lofty woodlands</labl>
  </catgry>
  <catgry>
    <catValu>11207</catValu>
    <labl>Murray-Darling woodlands and mallee</labl>
  </catgry>
  <catgry>
    <catValu>11208</catValu>
    <labl>Naracoorte woodlands</labl>
  </catgry>
  <catgry>
    <catValu>11209</catValu>
    <labl>Southwest Australia savanna</labl>
  </catgry>
  <catgry>
    <catValu>11210</catValu>
    <labl>Southwest Australia woodlands</labl>
  </catgry>
  <catgry>
    <catValu>11301</catValu>
    <labl>Carnarvon xeric shrublands</labl>
  </catgry>
  <catgry>
    <catValu>11302</catValu>
    <labl>Central Ranges xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>11303</catValu>
    <labl>Gibson desert</labl>
  </catgry>
  <catgry>
    <catValu>11304</catValu>
    <labl>Great Sandy-Tanami desert</labl>
  </catgry>
  <catgry>
    <catValu>11305</catValu>
    <labl>Great Victoria desert</labl>
  </catgry>
  <catgry>
    <catValu>11306</catValu>
    <labl>Nullarbor Plains xeric shrublands</labl>
  </catgry>
  <catgry>
    <catValu>11307</catValu>
    <labl>Pilbara shrublands</labl>
  </catgry>
  <catgry>
    <catValu>11308</catValu>
    <labl>Simpson desert</labl>
  </catgry>
  <catgry>
    <catValu>11309</catValu>
    <labl>Tirari-Sturt stony desert</labl>
  </catgry>
  <catgry>
    <catValu>11310</catValu>
    <labl>Western Australian Mulga shrublands</labl>
  </catgry>
  <catgry>
    <catValu>11401</catValu>
    <labl>New Guinea mangroves</labl>
  </catgry>
  <catgry>
    <catValu>21101</catValu>
    <labl>Marielandia Antarctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>21102</catValu>
    <labl>Maudlandia Antarctic desert</labl>
  </catgry>
  <catgry>
    <catValu>21103</catValu>
    <labl>Scotia Sea Islands tundra</labl>
  </catgry>
  <catgry>
    <catValu>21104</catValu>
    <labl>Southern Indian Ocean Islands tundra</labl>
  </catgry>
  <catgry>
    <catValu>30101</catValu>
    <labl>Albertine Rift montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30102</catValu>
    <labl>Atlantic Equatorial coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>30103</catValu>
    <labl>Cameroonian Highlands forests</labl>
  </catgry>
  <catgry>
    <catValu>30104</catValu>
    <labl>Central Congolian lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30105</catValu>
    <labl>Comoros forests</labl>
  </catgry>
  <catgry>
    <catValu>30106</catValu>
    <labl>Cross-Niger transition forests</labl>
  </catgry>
  <catgry>
    <catValu>30107</catValu>
    <labl>Cross-Sanaga-Bioko coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>30108</catValu>
    <labl>East African montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30109</catValu>
    <labl>Eastern Arc forests</labl>
  </catgry>
  <catgry>
    <catValu>30110</catValu>
    <labl>Eastern Congolian swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>30111</catValu>
    <labl>Eastern Guinean forests</labl>
  </catgry>
  <catgry>
    <catValu>30112</catValu>
    <labl>Ethiopian montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30113</catValu>
    <labl>Granitic Seychelles forests</labl>
  </catgry>
  <catgry>
    <catValu>30114</catValu>
    <labl>Guinean montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30115</catValu>
    <labl>Knysna-Amatole montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30116</catValu>
    <labl>KwaZulu-Cape coastal forest mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30117</catValu>
    <labl>Madagascar lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30118</catValu>
    <labl>Madagascar subhumid forests</labl>
  </catgry>
  <catgry>
    <catValu>30119</catValu>
    <labl>Maputaland coastal forest mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30120</catValu>
    <labl>Mascarene forests</labl>
  </catgry>
  <catgry>
    <catValu>30121</catValu>
    <labl>Mount Cameroon and Bioko montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30122</catValu>
    <labl>Niger Delta swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>30123</catValu>
    <labl>Nigerian lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30124</catValu>
    <labl>Northeastern Congolian lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30125</catValu>
    <labl>Northern Zanzibar-Inhambane coastal forest mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30126</catValu>
    <labl>Northwestern Congolian lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30127</catValu>
    <labl>Sao Tome, Principe and Annobon moist lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30128</catValu>
    <labl>Southern Zanzibar-Inhambane coastal forest mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30129</catValu>
    <labl>Western Congolian swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>30130</catValu>
    <labl>Western Guinean lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30201</catValu>
    <labl>Cape Verde Islands dry forests</labl>
  </catgry>
  <catgry>
    <catValu>30202</catValu>
    <labl>Madagascar dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>30203</catValu>
    <labl>Zambezian Cryptosepalum dry forests</labl>
  </catgry>
  <catgry>
    <catValu>30701</catValu>
    <labl>Angolan Miombo woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30702</catValu>
    <labl>Angolan Mopane woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30703</catValu>
    <labl>Ascension scrub and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30704</catValu>
    <labl>Central Zambezian Miombo woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30705</catValu>
    <labl>East Sudanian savanna</labl>
  </catgry>
  <catgry>
    <catValu>30706</catValu>
    <labl>Eastern Miombo woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30707</catValu>
    <labl>Guinean forest-savanna mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30708</catValu>
    <labl>Itigi-Sumbu thicket</labl>
  </catgry>
  <catgry>
    <catValu>30709</catValu>
    <labl>Kalahari Acacia-Baikiaea woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30710</catValu>
    <labl>Mandara Plateau mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30711</catValu>
    <labl>Northern Acacia-Commiphora bushlands and thickets</labl>
  </catgry>
  <catgry>
    <catValu>30712</catValu>
    <labl>Northern Congolian forest-savanna mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30713</catValu>
    <labl>Sahelian Acacia savanna</labl>
  </catgry>
  <catgry>
    <catValu>30714</catValu>
    <labl>Serengeti volcanic grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30715</catValu>
    <labl>Somali Acacia-Commiphora bushlands and thickets</labl>
  </catgry>
  <catgry>
    <catValu>30716</catValu>
    <labl>Southern Acacia-Commiphora bushlands and thickets</labl>
  </catgry>
  <catgry>
    <catValu>30717</catValu>
    <labl>Southern Africa bushveld</labl>
  </catgry>
  <catgry>
    <catValu>30718</catValu>
    <labl>Southern Congolian forest-savanna mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30719</catValu>
    <labl>Southern Miombo woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30720</catValu>
    <labl>St. Helena scrub and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30721</catValu>
    <labl>Victoria Basin forest-savanna mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30722</catValu>
    <labl>West Sudanian savanna</labl>
  </catgry>
  <catgry>
    <catValu>30723</catValu>
    <labl>Western Congolian forest-savanna mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30724</catValu>
    <labl>Western Zambezian grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30725</catValu>
    <labl>Zambezian and Mopane woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30726</catValu>
    <labl>Zambezian Baikiaea woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30801</catValu>
    <labl>Al Hajar montane woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30802</catValu>
    <labl>Amsterdam and Saint-Paul Islands temperate grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30803</catValu>
    <labl>Tristan Da Cunha-Gough Islands shrub and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30901</catValu>
    <labl>East African halophytics</labl>
  </catgry>
  <catgry>
    <catValu>30902</catValu>
    <labl>Etosha Pan halophytics</labl>
  </catgry>
  <catgry>
    <catValu>30903</catValu>
    <labl>Inner Niger Delta flooded savanna</labl>
  </catgry>
  <catgry>
    <catValu>30904</catValu>
    <labl>Lake Chad flooded savanna</labl>
  </catgry>
  <catgry>
    <catValu>30905</catValu>
    <labl>Saharan flooded grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30906</catValu>
    <labl>Zambezian coastal flooded savanna</labl>
  </catgry>
  <catgry>
    <catValu>30907</catValu>
    <labl>Zambezian flooded grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30908</catValu>
    <labl>Zambezian halophytics</labl>
  </catgry>
  <catgry>
    <catValu>31001</catValu>
    <labl>Angolan montane forest-grassland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>31002</catValu>
    <labl>Angolan scarp savanna and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31003</catValu>
    <labl>Drakensberg alti-montane grasslands and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31004</catValu>
    <labl>Drakensberg montane grasslands, woodlands and forests</labl>
  </catgry>
  <catgry>
    <catValu>31005</catValu>
    <labl>East African montane moorlands</labl>
  </catgry>
  <catgry>
    <catValu>31006</catValu>
    <labl>Eastern Zimbabwe montane forest-grassland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>31007</catValu>
    <labl>Ethiopian montane grasslands and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31008</catValu>
    <labl>Ethiopian montane moorlands</labl>
  </catgry>
  <catgry>
    <catValu>31009</catValu>
    <labl>Highveld grasslands</labl>
  </catgry>
  <catgry>
    <catValu>31010</catValu>
    <labl>Jos Plateau forest-grassland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>31011</catValu>
    <labl>Madagascar ericoid thickets</labl>
  </catgry>
  <catgry>
    <catValu>31012</catValu>
    <labl>Maputaland-Pondoland bushland and thickets</labl>
  </catgry>
  <catgry>
    <catValu>31013</catValu>
    <labl>Rwenzori-Virunga montane moorlands</labl>
  </catgry>
  <catgry>
    <catValu>31014</catValu>
    <labl>South Malawi montane forest-grassland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>31015</catValu>
    <labl>Southern Rift montane forest-grassland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>31201</catValu>
    <labl>Albany thickets</labl>
  </catgry>
  <catgry>
    <catValu>31202</catValu>
    <labl>Lowland fynbos and renosterveld</labl>
  </catgry>
  <catgry>
    <catValu>31203</catValu>
    <labl>Montane fynbos and renosterveld</labl>
  </catgry>
  <catgry>
    <catValu>31301</catValu>
    <labl>Aldabra Island xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>31302</catValu>
    <labl>Arabian Peninsula coastal fog desert</labl>
  </catgry>
  <catgry>
    <catValu>31303</catValu>
    <labl>East Saharan montane xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31304</catValu>
    <labl>Eritrean coastal desert</labl>
  </catgry>
  <catgry>
    <catValu>31305</catValu>
    <labl>Ethiopian xeric grasslands and shrublands</labl>
  </catgry>
  <catgry>
    <catValu>31306</catValu>
    <labl>Gulf of Oman desert and semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>31307</catValu>
    <labl>Hobyo grasslands and shrublands</labl>
  </catgry>
  <catgry>
    <catValu>31308</catValu>
    <labl>Ile Europa and Bassas da India xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>31309</catValu>
    <labl>Kalahari xeric savanna</labl>
  </catgry>
  <catgry>
    <catValu>31310</catValu>
    <labl>Kaokoveld desert</labl>
  </catgry>
  <catgry>
    <catValu>31311</catValu>
    <labl>Madagascar spiny thickets</labl>
  </catgry>
  <catgry>
    <catValu>31312</catValu>
    <labl>Madagascar succulent woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31313</catValu>
    <labl>Masai xeric grasslands and shrublands</labl>
  </catgry>
  <catgry>
    <catValu>31314</catValu>
    <labl>Nama Karoo</labl>
  </catgry>
  <catgry>
    <catValu>31315</catValu>
    <labl>Namib desert</labl>
  </catgry>
  <catgry>
    <catValu>31316</catValu>
    <labl>Namibian savanna woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31318</catValu>
    <labl>Socotra Island xeric shrublands</labl>
  </catgry>
  <catgry>
    <catValu>31319</catValu>
    <labl>Somali montane xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31320</catValu>
    <labl>Southwestern Arabian foothills savanna</labl>
  </catgry>
  <catgry>
    <catValu>31321</catValu>
    <labl>Southwestern Arabian montane woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31322</catValu>
    <labl>Succulent Karoo</labl>
  </catgry>
  <catgry>
    <catValu>31401</catValu>
    <labl>Central African mangroves</labl>
  </catgry>
  <catgry>
    <catValu>31402</catValu>
    <labl>East African mangroves</labl>
  </catgry>
  <catgry>
    <catValu>31403</catValu>
    <labl>Guinean mangroves</labl>
  </catgry>
  <catgry>
    <catValu>31404</catValu>
    <labl>Madagascar mangroves</labl>
  </catgry>
  <catgry>
    <catValu>31405</catValu>
    <labl>Southern Africa mangroves</labl>
  </catgry>
  <catgry>
    <catValu>40101</catValu>
    <labl>Andaman Islands rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40102</catValu>
    <labl>Borneo lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40103</catValu>
    <labl>Borneo montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40104</catValu>
    <labl>Borneo peat swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40105</catValu>
    <labl>Brahmaputra Valley semi-evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40106</catValu>
    <labl>Cardamom Mountains rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40107</catValu>
    <labl>Chao Phraya freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40108</catValu>
    <labl>Chao Phraya lowland moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40109</catValu>
    <labl>Chin Hills-Arakan Yoma montane forests</labl>
  </catgry>
  <catgry>
    <catValu>40110</catValu>
    <labl>Christmas and Cocos Islands tropical forests</labl>
  </catgry>
  <catgry>
    <catValu>40111</catValu>
    <labl>Eastern highlands moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40112</catValu>
    <labl>Eastern Java-Bali montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40113</catValu>
    <labl>Eastern Java-Bali rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40114</catValu>
    <labl>Greater Negros-Panay rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40115</catValu>
    <labl>Himalayan subtropical broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>40116</catValu>
    <labl>Irrawaddy freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40117</catValu>
    <labl>Irrawaddy moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40118</catValu>
    <labl>Jian Nan subtropical evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40119</catValu>
    <labl>Kayah-Karen montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40120</catValu>
    <labl>Lower Gangetic Plains moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40121</catValu>
    <labl>Luang Prabang montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40122</catValu>
    <labl>Luzon montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40123</catValu>
    <labl>Luzon rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40124</catValu>
    <labl>Malabar Coast moist forests</labl>
  </catgry>
  <catgry>
    <catValu>40125</catValu>
    <labl>Maldives-Lakshadweep-Chagos Archipelago tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>40126</catValu>
    <labl>Meghalaya subtropical forests</labl>
  </catgry>
  <catgry>
    <catValu>40127</catValu>
    <labl>Mentawai Islands rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40128</catValu>
    <labl>Mindanao montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40129</catValu>
    <labl>Mindanao-Eastern Visayas rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40130</catValu>
    <labl>Mindoro rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40131</catValu>
    <labl>Mizoram-Manipur-Kachin rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40132</catValu>
    <labl>Myanmar coastal rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40133</catValu>
    <labl>Nicobar Islands rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40134</catValu>
    <labl>North Western Ghats moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40135</catValu>
    <labl>North Western Ghats montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40136</catValu>
    <labl>Northern Annamites rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40137</catValu>
    <labl>Northern Indochina subtropical forests</labl>
  </catgry>
  <catgry>
    <catValu>40138</catValu>
    <labl>Northern Khorat Plateau moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40139</catValu>
    <labl>Northern Thailand-Laos moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40140</catValu>
    <labl>Northern Triangle subtropical forests</labl>
  </catgry>
  <catgry>
    <catValu>40141</catValu>
    <labl>Northern Vietnam lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40142</catValu>
    <labl>Orissa semi-evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40143</catValu>
    <labl>Palawan rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40144</catValu>
    <labl>Peninsular Malaysian montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40145</catValu>
    <labl>Peninsular Malaysian peat swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40146</catValu>
    <labl>Peninsular Malaysian rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40147</catValu>
    <labl>Red River freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40148</catValu>
    <labl>South China Sea Islands</labl>
  </catgry>
  <catgry>
    <catValu>40149</catValu>
    <labl>South China-Vietnam subtropical evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40150</catValu>
    <labl>South Western Ghats moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40151</catValu>
    <labl>South Western Ghats montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40152</catValu>
    <labl>Southern Annamites montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40153</catValu>
    <labl>Southwest Borneo freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40154</catValu>
    <labl>Sri Lanka lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40155</catValu>
    <labl>Sri Lanka montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40156</catValu>
    <labl>Sulu Archipelago rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40157</catValu>
    <labl>Sumatran freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40158</catValu>
    <labl>Sumatran lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40159</catValu>
    <labl>Sumatran montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40160</catValu>
    <labl>Sumatran peat swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40161</catValu>
    <labl>Sundaland heath forests</labl>
  </catgry>
  <catgry>
    <catValu>40162</catValu>
    <labl>Sundarbans freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40163</catValu>
    <labl>Tenasserim-South Thailand semi-evergreen rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40164</catValu>
    <labl>Tonle Sap freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40165</catValu>
    <labl>Tonle Sap-Mekong peat swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40166</catValu>
    <labl>Upper Gangetic Plains moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40167</catValu>
    <labl>Western Java montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40168</catValu>
    <labl>Western Java rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40169</catValu>
    <labl>Hainan Island monsoon rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40170</catValu>
    <labl>Nansei Islands subtropical evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40171</catValu>
    <labl>South Taiwan monsoon rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40172</catValu>
    <labl>Taiwan subtropical evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40201</catValu>
    <labl>Central Deccan Plateau dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40202</catValu>
    <labl>Central Indochina dry forests</labl>
  </catgry>
  <catgry>
    <catValu>40203</catValu>
    <labl>Chhota-Nagpur dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40204</catValu>
    <labl>East Deccan dry-evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40205</catValu>
    <labl>Irrawaddy dry forests</labl>
  </catgry>
  <catgry>
    <catValu>40206</catValu>
    <labl>Khathiar-Gir dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40207</catValu>
    <labl>Narmada Valley dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40208</catValu>
    <labl>Northern dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40209</catValu>
    <labl>South Deccan Plateau dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40210</catValu>
    <labl>Southeastern Indochina dry evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40211</catValu>
    <labl>Southern Vietnam lowland dry forests</labl>
  </catgry>
  <catgry>
    <catValu>40212</catValu>
    <labl>Sri Lanka dry-zone dry evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40301</catValu>
    <labl>Himalayan subtropical pine forests</labl>
  </catgry>
  <catgry>
    <catValu>40302</catValu>
    <labl>Luzon tropical pine forests</labl>
  </catgry>
  <catgry>
    <catValu>40303</catValu>
    <labl>Northeast India-Myanmar pine forests</labl>
  </catgry>
  <catgry>
    <catValu>40304</catValu>
    <labl>Sumatran tropical pine forests</labl>
  </catgry>
  <catgry>
    <catValu>40401</catValu>
    <labl>Eastern Himalayan broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>40402</catValu>
    <labl>Northern Triangle temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>40403</catValu>
    <labl>Western Himalayan broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>40501</catValu>
    <labl>Eastern Himalayan subalpine conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>40502</catValu>
    <labl>Western Himalayan subalpine conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>40701</catValu>
    <labl>Terai-Duar savanna and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>40901</catValu>
    <labl>Rann of Kutch seasonal salt marsh</labl>
  </catgry>
  <catgry>
    <catValu>41001</catValu>
    <labl>Kinabalu montane alpine meadows</labl>
  </catgry>
  <catgry>
    <catValu>41301</catValu>
    <labl>Deccan thorn scrub forests</labl>
  </catgry>
  <catgry>
    <catValu>41302</catValu>
    <labl>Indus Valley desert</labl>
  </catgry>
  <catgry>
    <catValu>41303</catValu>
    <labl>Northwestern thorn scrub forests</labl>
  </catgry>
  <catgry>
    <catValu>41304</catValu>
    <labl>Thar desert</labl>
  </catgry>
  <catgry>
    <catValu>41401</catValu>
    <labl>Goadavari-Krishna mangroves</labl>
  </catgry>
  <catgry>
    <catValu>41402</catValu>
    <labl>Indochina mangroves</labl>
  </catgry>
  <catgry>
    <catValu>41403</catValu>
    <labl>Indus River Delta-Arabian Sea mangroves</labl>
  </catgry>
  <catgry>
    <catValu>41404</catValu>
    <labl>Myanmar Coast mangroves</labl>
  </catgry>
  <catgry>
    <catValu>41405</catValu>
    <labl>Sunda Shelf mangroves</labl>
  </catgry>
  <catgry>
    <catValu>41406</catValu>
    <labl>Sundarbans mangroves</labl>
  </catgry>
  <catgry>
    <catValu>50201</catValu>
    <labl>Sonoran-Sinaloan transition subtropical dry forest</labl>
  </catgry>
  <catgry>
    <catValu>50301</catValu>
    <labl>Bermuda subtropical conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>50302</catValu>
    <labl>Sierra Madre Occidental pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>50303</catValu>
    <labl>Sierra Madre Oriental pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>50401</catValu>
    <labl>Allegheny Highlands forests</labl>
  </catgry>
  <catgry>
    <catValu>50402</catValu>
    <labl>Appalachian mixed mesophytic forests</labl>
  </catgry>
  <catgry>
    <catValu>50403</catValu>
    <labl>Appalachian-Blue Ridge forests</labl>
  </catgry>
  <catgry>
    <catValu>50404</catValu>
    <labl>Central U.S. hardwood forests</labl>
  </catgry>
  <catgry>
    <catValu>50405</catValu>
    <labl>East Central Texas forests</labl>
  </catgry>
  <catgry>
    <catValu>50406</catValu>
    <labl>Eastern forest-boreal transition</labl>
  </catgry>
  <catgry>
    <catValu>50407</catValu>
    <labl>Eastern Great Lakes lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>50408</catValu>
    <labl>Gulf of St. Lawrence lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>50409</catValu>
    <labl>Mississippi lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>50410</catValu>
    <labl>New England-Acadian forests</labl>
  </catgry>
  <catgry>
    <catValu>50411</catValu>
    <labl>Northeastern coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50412</catValu>
    <labl>Ozark Mountain forests</labl>
  </catgry>
  <catgry>
    <catValu>50413</catValu>
    <labl>Southeastern mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>50414</catValu>
    <labl>Southern Great Lakes forests</labl>
  </catgry>
  <catgry>
    <catValu>50415</catValu>
    <labl>Upper Midwest forest-savanna transition</labl>
  </catgry>
  <catgry>
    <catValu>50416</catValu>
    <labl>Western Great Lakes forests</labl>
  </catgry>
  <catgry>
    <catValu>50417</catValu>
    <labl>Willamette Valley forests</labl>
  </catgry>
  <catgry>
    <catValu>50501</catValu>
    <labl>Alberta Mountain forests</labl>
  </catgry>
  <catgry>
    <catValu>50502</catValu>
    <labl>Alberta-British Columbia foothills forests</labl>
  </catgry>
  <catgry>
    <catValu>50503</catValu>
    <labl>Arizona Mountains forests</labl>
  </catgry>
  <catgry>
    <catValu>50504</catValu>
    <labl>Atlantic coastal pine barrens</labl>
  </catgry>
  <catgry>
    <catValu>50505</catValu>
    <labl>Blue Mountains forests</labl>
  </catgry>
  <catgry>
    <catValu>50506</catValu>
    <labl>British Columbia mainland coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50507</catValu>
    <labl>Cascade Mountains leeward forests</labl>
  </catgry>
  <catgry>
    <catValu>50508</catValu>
    <labl>Central and Southern Cascades forests</labl>
  </catgry>
  <catgry>
    <catValu>50509</catValu>
    <labl>Central British Columbia Mountain forests</labl>
  </catgry>
  <catgry>
    <catValu>50510</catValu>
    <labl>Central Pacific coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50511</catValu>
    <labl>Colorado Rockies forests</labl>
  </catgry>
  <catgry>
    <catValu>50512</catValu>
    <labl>Eastern Cascades forests</labl>
  </catgry>
  <catgry>
    <catValu>50513</catValu>
    <labl>Florida sand pine scrub</labl>
  </catgry>
  <catgry>
    <catValu>50514</catValu>
    <labl>Fraser Plateau and Basin complex</labl>
  </catgry>
  <catgry>
    <catValu>50515</catValu>
    <labl>Great Basin montane forests</labl>
  </catgry>
  <catgry>
    <catValu>50516</catValu>
    <labl>Klamath-Siskiyou forests</labl>
  </catgry>
  <catgry>
    <catValu>50517</catValu>
    <labl>Middle Atlantic coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50518</catValu>
    <labl>North Central Rockies forests</labl>
  </catgry>
  <catgry>
    <catValu>50519</catValu>
    <labl>Northern California coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50520</catValu>
    <labl>Northern Pacific coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50521</catValu>
    <labl>Northern transitional alpine forests</labl>
  </catgry>
  <catgry>
    <catValu>50522</catValu>
    <labl>Okanagan dry forests</labl>
  </catgry>
  <catgry>
    <catValu>50523</catValu>
    <labl>Piney Woods forests</labl>
  </catgry>
  <catgry>
    <catValu>50524</catValu>
    <labl>Puget lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>50525</catValu>
    <labl>Queen Charlotte Islands</labl>
  </catgry>
  <catgry>
    <catValu>50526</catValu>
    <labl>Sierra Juarez and San Pedro Martir pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>50527</catValu>
    <labl>Sierra Nevada forests</labl>
  </catgry>
  <catgry>
    <catValu>50528</catValu>
    <labl>South Central Rockies forests</labl>
  </catgry>
  <catgry>
    <catValu>50529</catValu>
    <labl>Southeastern conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>50530</catValu>
    <labl>Wasatch and Uinta montane forests</labl>
  </catgry>
  <catgry>
    <catValu>50601</catValu>
    <labl>Alaska Peninsula montane taiga</labl>
  </catgry>
  <catgry>
    <catValu>50602</catValu>
    <labl>Central Canadian Shield forests</labl>
  </catgry>
  <catgry>
    <catValu>50603</catValu>
    <labl>Cook Inlet taiga</labl>
  </catgry>
  <catgry>
    <catValu>50604</catValu>
    <labl>Copper Plateau taiga</labl>
  </catgry>
  <catgry>
    <catValu>50605</catValu>
    <labl>Eastern Canadian forests</labl>
  </catgry>
  <catgry>
    <catValu>50606</catValu>
    <labl>Eastern Canadian Shield taiga</labl>
  </catgry>
  <catgry>
    <catValu>50607</catValu>
    <labl>Interior Alaska-Yukon lowland taiga</labl>
  </catgry>
  <catgry>
    <catValu>50608</catValu>
    <labl>Mid-Continental Canadian forests</labl>
  </catgry>
  <catgry>
    <catValu>50609</catValu>
    <labl>Midwestern Canadian Shield forests</labl>
  </catgry>
  <catgry>
    <catValu>50610</catValu>
    <labl>Muskwa-Slave Lake forests</labl>
  </catgry>
  <catgry>
    <catValu>50611</catValu>
    <labl>Newfoundland Highland forests</labl>
  </catgry>
  <catgry>
    <catValu>50612</catValu>
    <labl>Northern Canadian Shield taiga</labl>
  </catgry>
  <catgry>
    <catValu>50613</catValu>
    <labl>Northern Cordillera forests</labl>
  </catgry>
  <catgry>
    <catValu>50614</catValu>
    <labl>Northwest Territories taiga</labl>
  </catgry>
  <catgry>
    <catValu>50615</catValu>
    <labl>South Avalon-Burin oceanic barrens</labl>
  </catgry>
  <catgry>
    <catValu>50616</catValu>
    <labl>Southern Hudson Bay taiga</labl>
  </catgry>
  <catgry>
    <catValu>50617</catValu>
    <labl>Yukon Interior dry forests</labl>
  </catgry>
  <catgry>
    <catValu>50701</catValu>
    <labl>Western Gulf coastal grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50801</catValu>
    <labl>California Central Valley grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50802</catValu>
    <labl>Canadian Aspen forests and parklands</labl>
  </catgry>
  <catgry>
    <catValu>50803</catValu>
    <labl>Central and Southern mixed grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50804</catValu>
    <labl>Central forest-grasslands transition</labl>
  </catgry>
  <catgry>
    <catValu>50805</catValu>
    <labl>Central tall grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50806</catValu>
    <labl>Edwards Plateau savanna</labl>
  </catgry>
  <catgry>
    <catValu>50807</catValu>
    <labl>Flint Hills tall grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50808</catValu>
    <labl>Montana Valley and Foothill grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50809</catValu>
    <labl>Nebraska Sand Hills mixed grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50810</catValu>
    <labl>Northern mixed grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50811</catValu>
    <labl>Northern short grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50812</catValu>
    <labl>Northern tall grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50813</catValu>
    <labl>Palouse grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50814</catValu>
    <labl>Texas blackland prairies</labl>
  </catgry>
  <catgry>
    <catValu>50815</catValu>
    <labl>Western short grasslands</labl>
  </catgry>
  <catgry>
    <catValu>51101</catValu>
    <labl>Alaska-St. Elias Range tundra</labl>
  </catgry>
  <catgry>
    <catValu>51102</catValu>
    <labl>Aleutian Islands tundra</labl>
  </catgry>
  <catgry>
    <catValu>51103</catValu>
    <labl>Arctic coastal tundra</labl>
  </catgry>
  <catgry>
    <catValu>51104</catValu>
    <labl>Arctic foothills tundra</labl>
  </catgry>
  <catgry>
    <catValu>51105</catValu>
    <labl>Baffin coastal tundra</labl>
  </catgry>
  <catgry>
    <catValu>51106</catValu>
    <labl>Beringia lowland tundra</labl>
  </catgry>
  <catgry>
    <catValu>51107</catValu>
    <labl>Beringia upland tundra</labl>
  </catgry>
  <catgry>
    <catValu>51108</catValu>
    <labl>Brooks-British Range tundra</labl>
  </catgry>
  <catgry>
    <catValu>51109</catValu>
    <labl>Davis Highlands tundra</labl>
  </catgry>
  <catgry>
    <catValu>51110</catValu>
    <labl>High Arctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>51111</catValu>
    <labl>Interior Yukon-Alaska alpine tundra</labl>
  </catgry>
  <catgry>
    <catValu>51112</catValu>
    <labl>Kalaallit Nunaat high arctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>51113</catValu>
    <labl>Kalaallit Nunaat low arctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>51114</catValu>
    <labl>Low Arctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>51115</catValu>
    <labl>Middle Arctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>51116</catValu>
    <labl>Ogilvie-MacKenzie alpine tundra</labl>
  </catgry>
  <catgry>
    <catValu>51117</catValu>
    <labl>Pacific Coastal Mountain icefields and tundra</labl>
  </catgry>
  <catgry>
    <catValu>51118</catValu>
    <labl>Torngat Mountain tundra</labl>
  </catgry>
  <catgry>
    <catValu>51201</catValu>
    <labl>California coastal sage and chaparral</labl>
  </catgry>
  <catgry>
    <catValu>51202</catValu>
    <labl>California interior chaparral and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>51203</catValu>
    <labl>California montane chaparral and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>51301</catValu>
    <labl>Baja California desert</labl>
  </catgry>
  <catgry>
    <catValu>51302</catValu>
    <labl>Central Mexican matorral</labl>
  </catgry>
  <catgry>
    <catValu>51303</catValu>
    <labl>Chihuahuan desert</labl>
  </catgry>
  <catgry>
    <catValu>51304</catValu>
    <labl>Colorado Plateau shrublands</labl>
  </catgry>
  <catgry>
    <catValu>51305</catValu>
    <labl>Great Basin shrub steppe</labl>
  </catgry>
  <catgry>
    <catValu>51306</catValu>
    <labl>Gulf of California xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>51307</catValu>
    <labl>Meseta Central matorral</labl>
  </catgry>
  <catgry>
    <catValu>51308</catValu>
    <labl>Mojave desert</labl>
  </catgry>
  <catgry>
    <catValu>51309</catValu>
    <labl>Snake-Columbia shrub steppe</labl>
  </catgry>
  <catgry>
    <catValu>51310</catValu>
    <labl>Sonoran desert</labl>
  </catgry>
  <catgry>
    <catValu>51311</catValu>
    <labl>Tamaulipan matorral</labl>
  </catgry>
  <catgry>
    <catValu>51312</catValu>
    <labl>Tamaulipan mezquital</labl>
  </catgry>
  <catgry>
    <catValu>51313</catValu>
    <labl>Wyoming Basin shrub steppe</labl>
  </catgry>
  <catgry>
    <catValu>60101</catValu>
    <labl>Araucaria moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60102</catValu>
    <labl>Atlantic Coast restingas</labl>
  </catgry>
  <catgry>
    <catValu>60103</catValu>
    <labl>Bahia coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>60104</catValu>
    <labl>Bahia interior forests</labl>
  </catgry>
  <catgry>
    <catValu>60105</catValu>
    <labl>Bolivian Yungas</labl>
  </catgry>
  <catgry>
    <catValu>60106</catValu>
    <labl>Caatinga Enclaves moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60107</catValu>
    <labl>Caqueta moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60108</catValu>
    <labl>Catatumbo moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60109</catValu>
    <labl>Cauca Valley montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60110</catValu>
    <labl>Cayos Miskitos-San Andrés and Providencia moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60111</catValu>
    <labl>Central American Atlantic moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60112</catValu>
    <labl>Central American montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60113</catValu>
    <labl>Chiapas montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60114</catValu>
    <labl>Chimalapas montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60115</catValu>
    <labl>Chocó-Darién moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60116</catValu>
    <labl>Cocos Island moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60117</catValu>
    <labl>Cordillera La Costa montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60118</catValu>
    <labl>Cordillera Oriental montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60119</catValu>
    <labl>Costa Rican seasonal moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60120</catValu>
    <labl>Cuban moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60121</catValu>
    <labl>Eastern Cordillera real montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60122</catValu>
    <labl>Eastern Panamanian montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60123</catValu>
    <labl>Fernando de Noronha-Atol das Rocas moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60124</catValu>
    <labl>Guianan Highlands moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60125</catValu>
    <labl>Guianan moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60126</catValu>
    <labl>Gurupa varzeá</labl>
  </catgry>
  <catgry>
    <catValu>60127</catValu>
    <labl>Hispaniolan moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60128</catValu>
    <labl>Iquitos varzeá</labl>
  </catgry>
  <catgry>
    <catValu>60129</catValu>
    <labl>Isthmian-Atlantic moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60130</catValu>
    <labl>Isthmian-Pacific moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60131</catValu>
    <labl>Jamaican moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60132</catValu>
    <labl>Japurá-Solimoes-Negro moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60133</catValu>
    <labl>Juruá-Purus moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60134</catValu>
    <labl>Leeward Islands moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60135</catValu>
    <labl>Madeira-Tapajós moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60136</catValu>
    <labl>Magdalena Valley montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60137</catValu>
    <labl>Magdalena-Urabá moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60138</catValu>
    <labl>Marajó varzeá</labl>
  </catgry>
  <catgry>
    <catValu>60139</catValu>
    <labl>Maranhão Babaçu forests</labl>
  </catgry>
  <catgry>
    <catValu>60140</catValu>
    <labl>Mato Grosso seasonal forests</labl>
  </catgry>
  <catgry>
    <catValu>60141</catValu>
    <labl>Monte Alegre varzeá</labl>
  </catgry>
  <catgry>
    <catValu>60142</catValu>
    <labl>Napo moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60143</catValu>
    <labl>Negro-Branco moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60144</catValu>
    <labl>Northeastern Brazil restingas</labl>
  </catgry>
  <catgry>
    <catValu>60145</catValu>
    <labl>Northwestern Andean montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60146</catValu>
    <labl>Oaxacan montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60147</catValu>
    <labl>Orinoco Delta swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>60148</catValu>
    <labl>Pantanos de Centla</labl>
  </catgry>
  <catgry>
    <catValu>60149</catValu>
    <labl>Guianan freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>60150</catValu>
    <labl>Alto Paraná Atlantic forests</labl>
  </catgry>
  <catgry>
    <catValu>60151</catValu>
    <labl>Pernambuco coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>60152</catValu>
    <labl>Pernambuco interior forests</labl>
  </catgry>
  <catgry>
    <catValu>60153</catValu>
    <labl>Peruvian Yungas</labl>
  </catgry>
  <catgry>
    <catValu>60154</catValu>
    <labl>Petén-Veracruz moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60155</catValu>
    <labl>Puerto Rican moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60156</catValu>
    <labl>Purus varzeá</labl>
  </catgry>
  <catgry>
    <catValu>60157</catValu>
    <labl>Purus-Madeira moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60158</catValu>
    <labl>Rio Negro campinarana</labl>
  </catgry>
  <catgry>
    <catValu>60159</catValu>
    <labl>Santa Marta montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60160</catValu>
    <labl>Serra do Mar coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>60161</catValu>
    <labl>Sierra de los Tuxtlas</labl>
  </catgry>
  <catgry>
    <catValu>60162</catValu>
    <labl>Sierra Madre de Chiapas moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60163</catValu>
    <labl>Solimões-Japurá moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60164</catValu>
    <labl>South Florida rocklands</labl>
  </catgry>
  <catgry>
    <catValu>60165</catValu>
    <labl>Southern Andean Yungas</labl>
  </catgry>
  <catgry>
    <catValu>60166</catValu>
    <labl>Southwest Amazon moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60167</catValu>
    <labl>Talamancan montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60168</catValu>
    <labl>Tapajós-Xingu moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60169</catValu>
    <labl>Pantepui</labl>
  </catgry>
  <catgry>
    <catValu>60170</catValu>
    <labl>Tocantins/Pindare moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60171</catValu>
    <labl>Trinidad and Tobago moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60172</catValu>
    <labl>Trindade-Martin Vaz Islands tropical forests</labl>
  </catgry>
  <catgry>
    <catValu>60173</catValu>
    <labl>Uatuma-Trombetas moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60174</catValu>
    <labl>Ucayali moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60175</catValu>
    <labl>Venezuelan Andes montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60176</catValu>
    <labl>Veracruz moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60177</catValu>
    <labl>Veracruz montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60178</catValu>
    <labl>Western Ecuador moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60179</catValu>
    <labl>Windward Islands moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60180</catValu>
    <labl>Xingu-Tocantins-Araguaia moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60181</catValu>
    <labl>Yucatán moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60182</catValu>
    <labl>Guianan piedmont and lowland moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60201</catValu>
    <labl>Apure-Villavicencio dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60202</catValu>
    <labl>Atlantic dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60204</catValu>
    <labl>Bajío dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60205</catValu>
    <labl>Balsas dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60206</catValu>
    <labl>Bolivian montane dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60207</catValu>
    <labl>Cauca Valley dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60209</catValu>
    <labl>Central American dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60210</catValu>
    <labl>Dry Chaco</labl>
  </catgry>
  <catgry>
    <catValu>60211</catValu>
    <labl>Chiapas Depression dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60212</catValu>
    <labl>Chiquitano dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60213</catValu>
    <labl>Cuban dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60214</catValu>
    <labl>Ecuadorian dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60215</catValu>
    <labl>Hispaniolan dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60216</catValu>
    <labl>Islas Revillagigedo dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60217</catValu>
    <labl>Jalisco dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60218</catValu>
    <labl>Jamaican dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60219</catValu>
    <labl>Lara-Falcón dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60220</catValu>
    <labl>Lesser Antillean dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60221</catValu>
    <labl>Magdalena Valley dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60222</catValu>
    <labl>Maracaibo dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60223</catValu>
    <labl>Marañón dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60224</catValu>
    <labl>Panamanian dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60225</catValu>
    <labl>Patía Valley dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60226</catValu>
    <labl>Puerto Rican dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60227</catValu>
    <labl>Sierra de la Laguna dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60228</catValu>
    <labl>Sinaloan dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60229</catValu>
    <labl>Sinú Valley dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60230</catValu>
    <labl>Southern Pacific dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60232</catValu>
    <labl>Tumbes-Piura dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60233</catValu>
    <labl>Veracruz dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60235</catValu>
    <labl>Yucatán dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60301</catValu>
    <labl>Bahamian pine mosaic</labl>
  </catgry>
  <catgry>
    <catValu>60302</catValu>
    <labl>Belizian pine forests</labl>
  </catgry>
  <catgry>
    <catValu>60303</catValu>
    <labl>Central American pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>60304</catValu>
    <labl>Cuban pine forests</labl>
  </catgry>
  <catgry>
    <catValu>60305</catValu>
    <labl>Hispaniolan pine forests</labl>
  </catgry>
  <catgry>
    <catValu>60306</catValu>
    <labl>Miskito pine forests</labl>
  </catgry>
  <catgry>
    <catValu>60307</catValu>
    <labl>Sierra de la Laguna pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>60308</catValu>
    <labl>Sierra Madre de Oaxaca pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>60309</catValu>
    <labl>Sierra Madre del Sur pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>60310</catValu>
    <labl>Trans-Mexican Volcanic Belt pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>60401</catValu>
    <labl>Juan Fernández Islands temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>60402</catValu>
    <labl>Magellanic subpolar forests</labl>
  </catgry>
  <catgry>
    <catValu>60403</catValu>
    <labl>San Félix-San Ambrosio Islands temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>60404</catValu>
    <labl>Valdivian temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>60702</catValu>
    <labl>Beni savanna</labl>
  </catgry>
  <catgry>
    <catValu>60703</catValu>
    <labl>Campos Rupestres montane savanna</labl>
  </catgry>
  <catgry>
    <catValu>60704</catValu>
    <labl>Cerrado</labl>
  </catgry>
  <catgry>
    <catValu>60705</catValu>
    <labl>Clipperton Island shrub and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>60707</catValu>
    <labl>Guianan savanna</labl>
  </catgry>
  <catgry>
    <catValu>60708</catValu>
    <labl>Humid Chaco</labl>
  </catgry>
  <catgry>
    <catValu>60709</catValu>
    <labl>Llanos</labl>
  </catgry>
  <catgry>
    <catValu>60710</catValu>
    <labl>Uruguayan savanna</labl>
  </catgry>
  <catgry>
    <catValu>60801</catValu>
    <labl>Espinal</labl>
  </catgry>
  <catgry>
    <catValu>60802</catValu>
    <labl>Low Monte</labl>
  </catgry>
  <catgry>
    <catValu>60803</catValu>
    <labl>Humid Pampas</labl>
  </catgry>
  <catgry>
    <catValu>60805</catValu>
    <labl>Patagonian steppe</labl>
  </catgry>
  <catgry>
    <catValu>60902</catValu>
    <labl>Cuban wetlands</labl>
  </catgry>
  <catgry>
    <catValu>60903</catValu>
    <labl>Enriquillo wetlands</labl>
  </catgry>
  <catgry>
    <catValu>60904</catValu>
    <labl>Everglades</labl>
  </catgry>
  <catgry>
    <catValu>60905</catValu>
    <labl>Guayaquil flooded grasslands</labl>
  </catgry>
  <catgry>
    <catValu>60906</catValu>
    <labl>Orinoco wetlands</labl>
  </catgry>
  <catgry>
    <catValu>60907</catValu>
    <labl>Pantanal</labl>
  </catgry>
  <catgry>
    <catValu>60908</catValu>
    <labl>Paraná flooded savanna</labl>
  </catgry>
  <catgry>
    <catValu>60909</catValu>
    <labl>Southern Cone Mesopotamian savanna</labl>
  </catgry>
  <catgry>
    <catValu>61001</catValu>
    <labl>Central Andean dry puna</labl>
  </catgry>
  <catgry>
    <catValu>61002</catValu>
    <labl>Central Andean puna</labl>
  </catgry>
  <catgry>
    <catValu>61003</catValu>
    <labl>Central Andean wet puna</labl>
  </catgry>
  <catgry>
    <catValu>61004</catValu>
    <labl>Cordillera Central páramo</labl>
  </catgry>
  <catgry>
    <catValu>61005</catValu>
    <labl>Cordillera de Merida páramo</labl>
  </catgry>
  <catgry>
    <catValu>61006</catValu>
    <labl>Northern Andean páramo</labl>
  </catgry>
  <catgry>
    <catValu>61007</catValu>
    <labl>Santa Marta páramo</labl>
  </catgry>
  <catgry>
    <catValu>61008</catValu>
    <labl>Southern Andean steppe</labl>
  </catgry>
  <catgry>
    <catValu>61010</catValu>
    <labl>High Monte</labl>
  </catgry>
  <catgry>
    <catValu>61201</catValu>
    <labl>Chilean matorral</labl>
  </catgry>
  <catgry>
    <catValu>61301</catValu>
    <labl>Araya and Paria xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>61303</catValu>
    <labl>Atacama desert</labl>
  </catgry>
  <catgry>
    <catValu>61304</catValu>
    <labl>Caatinga</labl>
  </catgry>
  <catgry>
    <catValu>61305</catValu>
    <labl>Caribbean shrublands</labl>
  </catgry>
  <catgry>
    <catValu>61306</catValu>
    <labl>Cuban cactus scrub</labl>
  </catgry>
  <catgry>
    <catValu>61307</catValu>
    <labl>Galápagos Islands scrubland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>61308</catValu>
    <labl>Guajira-Barranquilla xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>61309</catValu>
    <labl>La Costa xeric shrublands</labl>
  </catgry>
  <catgry>
    <catValu>61311</catValu>
    <labl>Malpelo Island xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>61312</catValu>
    <labl>Motagua Valley thornscrub</labl>
  </catgry>
  <catgry>
    <catValu>61313</catValu>
    <labl>Paraguana xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>61314</catValu>
    <labl>San Lucan xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>61315</catValu>
    <labl>Sechura desert</labl>
  </catgry>
  <catgry>
    <catValu>61316</catValu>
    <labl>Tehuacán Valley matorral</labl>
  </catgry>
  <catgry>
    <catValu>61318</catValu>
    <labl>St. Peter and St. Paul rocks</labl>
  </catgry>
  <catgry>
    <catValu>61401</catValu>
    <labl>Amazon-Orinoco-Southern Caribbean mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61402</catValu>
    <labl>Bahamian-Antillean mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61403</catValu>
    <labl>Mesoamerican Gulf-Caribbean mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61404</catValu>
    <labl>Northern Mesoamerican Pacific mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61405</catValu>
    <labl>South American Pacific mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61406</catValu>
    <labl>Southern Atlantic mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61407</catValu>
    <labl>Southern Mesoamerican Pacific mangroves</labl>
  </catgry>
  <catgry>
    <catValu>70101</catValu>
    <labl>Carolines tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70102</catValu>
    <labl>Central Polynesian tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70103</catValu>
    <labl>Cook Islands tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70104</catValu>
    <labl>Eastern Micronesia tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70105</catValu>
    <labl>Fiji tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70106</catValu>
    <labl>Hawaii tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70107</catValu>
    <labl>Kermadec Islands subtropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70108</catValu>
    <labl>Marquesas tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70109</catValu>
    <labl>Ogasawara subtropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70110</catValu>
    <labl>Palau tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70111</catValu>
    <labl>Rapa Nui subtropical broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>70112</catValu>
    <labl>Samoan tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70113</catValu>
    <labl>Society Islands tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70114</catValu>
    <labl>Tongan tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70115</catValu>
    <labl>Tuamotu tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70116</catValu>
    <labl>Tubuai tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70117</catValu>
    <labl>Western Polynesian tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70201</catValu>
    <labl>Fiji tropical dry forests</labl>
  </catgry>
  <catgry>
    <catValu>70202</catValu>
    <labl>Hawaii tropical dry forests</labl>
  </catgry>
  <catgry>
    <catValu>70203</catValu>
    <labl>Marianas tropical dry forests</labl>
  </catgry>
  <catgry>
    <catValu>70204</catValu>
    <labl>Yap tropical dry forests</labl>
  </catgry>
  <catgry>
    <catValu>70701</catValu>
    <labl>Hawaii tropical high shrublands</labl>
  </catgry>
  <catgry>
    <catValu>70702</catValu>
    <labl>Hawaii tropical low shrublands</labl>
  </catgry>
  <catgry>
    <catValu>70703</catValu>
    <labl>Northwestern Hawaii scrub</labl>
  </catgry>
  <catgry>
    <catValu>80101</catValu>
    <labl>Guizhou Plateau broadleaf and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80102</catValu>
    <labl>Yunnan Plateau subtropical evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80401</catValu>
    <labl>Appenine deciduous montane forests</labl>
  </catgry>
  <catgry>
    <catValu>80402</catValu>
    <labl>Atlantic mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80403</catValu>
    <labl>Azores temperate mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80404</catValu>
    <labl>Balkan mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80405</catValu>
    <labl>Baltic mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80406</catValu>
    <labl>Cantabrian mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80407</catValu>
    <labl>Caspian Hyrcanian mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80408</catValu>
    <labl>Caucasus mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80409</catValu>
    <labl>Celtic broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>80410</catValu>
    <labl>Central Anatolian steppe and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>80411</catValu>
    <labl>Central China loess plateau mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80412</catValu>
    <labl>Central European mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80413</catValu>
    <labl>Central Korean deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80414</catValu>
    <labl>Changbai Mountains mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80415</catValu>
    <labl>Changjiang Plain evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80416</catValu>
    <labl>Crimean Submediterranean forest complex</labl>
  </catgry>
  <catgry>
    <catValu>80417</catValu>
    <labl>Daba Mountains evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80418</catValu>
    <labl>Dinaric Mountains mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80419</catValu>
    <labl>East European forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80420</catValu>
    <labl>Eastern Anatolian deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80421</catValu>
    <labl>English Lowlands beech forests</labl>
  </catgry>
  <catgry>
    <catValu>80422</catValu>
    <labl>Euxine-Colchic broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>80423</catValu>
    <labl>Hokkaido deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80424</catValu>
    <labl>Huang He Plain mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80425</catValu>
    <labl>Madeira evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80426</catValu>
    <labl>Manchurian mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80427</catValu>
    <labl>Nihonkai evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80428</catValu>
    <labl>Nihonkai montane deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80429</catValu>
    <labl>North Atlantic moist mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80430</catValu>
    <labl>Northeast China Plain deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80431</catValu>
    <labl>Pannonian mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80432</catValu>
    <labl>Po Basin mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80433</catValu>
    <labl>Pyrenees conifer and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80434</catValu>
    <labl>Qin Ling Mountains deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80435</catValu>
    <labl>Rodope montane mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80436</catValu>
    <labl>Sarmatic mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80437</catValu>
    <labl>Sichuan Basin evergreen broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>80438</catValu>
    <labl>South Sakhalin-Kurile mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80439</catValu>
    <labl>Southern Korea evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80440</catValu>
    <labl>Taiheiyo evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80441</catValu>
    <labl>Taiheiyo montane deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80442</catValu>
    <labl>Tarim Basin deciduous forests and steppe</labl>
  </catgry>
  <catgry>
    <catValu>80443</catValu>
    <labl>Ussuri broadleaf and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80444</catValu>
    <labl>Western Siberian hemiboreal forests</labl>
  </catgry>
  <catgry>
    <catValu>80445</catValu>
    <labl>Western European broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>80446</catValu>
    <labl>Zagros Mountains forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80501</catValu>
    <labl>Alps conifer and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80502</catValu>
    <labl>Altai montane forest and forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80503</catValu>
    <labl>Caledon conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80504</catValu>
    <labl>Carpathian montane forests</labl>
  </catgry>
  <catgry>
    <catValu>80505</catValu>
    <labl>Da Hinggan-Dzhagdy Mountains conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80506</catValu>
    <labl>East Afghan montane conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80507</catValu>
    <labl>Elburz Range forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80508</catValu>
    <labl>Helanshan montane conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80509</catValu>
    <labl>Hengduan Mountains subalpine conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80510</catValu>
    <labl>Hokkaido montane conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80511</catValu>
    <labl>Honshu alpine conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80512</catValu>
    <labl>Khangai Mountains conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80513</catValu>
    <labl>Mediterranean conifer and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80514</catValu>
    <labl>Northeastern Himalayan subalpine conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80515</catValu>
    <labl>Northern Anatolian conifer and deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80516</catValu>
    <labl>Nujiang Langcang Gorge alpine conifer and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80517</catValu>
    <labl>Qilian Mountains conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80518</catValu>
    <labl>Qionglai-Minshan conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80519</catValu>
    <labl>Sayan montane conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80520</catValu>
    <labl>Scandinavian coastal conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80521</catValu>
    <labl>Tian Shan montane conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80601</catValu>
    <labl>East Siberian taiga</labl>
  </catgry>
  <catgry>
    <catValu>80602</catValu>
    <labl>Iceland boreal birch forests and alpine tundra</labl>
  </catgry>
  <catgry>
    <catValu>80603</catValu>
    <labl>Kamchatka-Kurile meadows and sparse forests</labl>
  </catgry>
  <catgry>
    <catValu>80604</catValu>
    <labl>Kamchatka-Kurile taiga</labl>
  </catgry>
  <catgry>
    <catValu>80605</catValu>
    <labl>Northeast Siberian taiga</labl>
  </catgry>
  <catgry>
    <catValu>80606</catValu>
    <labl>Okhotsk-Manchurian taiga</labl>
  </catgry>
  <catgry>
    <catValu>80607</catValu>
    <labl>Sakhalin Island taiga</labl>
  </catgry>
  <catgry>
    <catValu>80608</catValu>
    <labl>Scandinavian and Russian taiga</labl>
  </catgry>
  <catgry>
    <catValu>80609</catValu>
    <labl>Trans-Baikal conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80610</catValu>
    <labl>Ural montane forests and tundra</labl>
  </catgry>
  <catgry>
    <catValu>80611</catValu>
    <labl>West Siberian taiga</labl>
  </catgry>
  <catgry>
    <catValu>80801</catValu>
    <labl>Alai-Western Tian Shan steppe</labl>
  </catgry>
  <catgry>
    <catValu>80802</catValu>
    <labl>Altai steppe and semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>80803</catValu>
    <labl>Central Anatolian steppe</labl>
  </catgry>
  <catgry>
    <catValu>80804</catValu>
    <labl>Daurian forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80805</catValu>
    <labl>Eastern Anatolian montane steppe</labl>
  </catgry>
  <catgry>
    <catValu>80806</catValu>
    <labl>Emin Valley steppe</labl>
  </catgry>
  <catgry>
    <catValu>80807</catValu>
    <labl>Faroe Islands boreal grasslands</labl>
  </catgry>
  <catgry>
    <catValu>80808</catValu>
    <labl>Gissaro-Alai open woodlands</labl>
  </catgry>
  <catgry>
    <catValu>80809</catValu>
    <labl>Kazakh forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80810</catValu>
    <labl>Kazakh steppe</labl>
  </catgry>
  <catgry>
    <catValu>80811</catValu>
    <labl>Kazakh upland</labl>
  </catgry>
  <catgry>
    <catValu>80812</catValu>
    <labl>Middle East steppe</labl>
  </catgry>
  <catgry>
    <catValu>80813</catValu>
    <labl>Mongolian-Manchurian grassland</labl>
  </catgry>
  <catgry>
    <catValu>80814</catValu>
    <labl>Pontic steppe</labl>
  </catgry>
  <catgry>
    <catValu>80815</catValu>
    <labl>Sayan Intermontane steppe</labl>
  </catgry>
  <catgry>
    <catValu>80816</catValu>
    <labl>Selenge-Orkhon forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80817</catValu>
    <labl>South Siberian forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80818</catValu>
    <labl>Tian Shan foothill arid steppe</labl>
  </catgry>
  <catgry>
    <catValu>80901</catValu>
    <labl>Amur meadow steppe</labl>
  </catgry>
  <catgry>
    <catValu>80902</catValu>
    <labl>Bohai Sea saline meadow</labl>
  </catgry>
  <catgry>
    <catValu>80903</catValu>
    <labl>Nenjiang River grassland</labl>
  </catgry>
  <catgry>
    <catValu>80904</catValu>
    <labl>Nile Delta flooded savanna</labl>
  </catgry>
  <catgry>
    <catValu>80905</catValu>
    <labl>Saharan halophytics</labl>
  </catgry>
  <catgry>
    <catValu>80906</catValu>
    <labl>Tigris-Euphrates alluvial salt marsh</labl>
  </catgry>
  <catgry>
    <catValu>80907</catValu>
    <labl>Suiphun-Khanka meadows and forest meadows</labl>
  </catgry>
  <catgry>
    <catValu>80908</catValu>
    <labl>Yellow Sea saline meadow</labl>
  </catgry>
  <catgry>
    <catValu>81001</catValu>
    <labl>Altai alpine meadow and tundra</labl>
  </catgry>
  <catgry>
    <catValu>81002</catValu>
    <labl>Central Tibetan Plateau alpine steppe</labl>
  </catgry>
  <catgry>
    <catValu>81003</catValu>
    <labl>Eastern Himalayan alpine shrub and meadows</labl>
  </catgry>
  <catgry>
    <catValu>81004</catValu>
    <labl>Ghorat-Hazarajat alpine meadow</labl>
  </catgry>
  <catgry>
    <catValu>81005</catValu>
    <labl>Hindu Kush alpine meadow</labl>
  </catgry>
  <catgry>
    <catValu>81006</catValu>
    <labl>Karakoram-West Tibetan Plateau alpine steppe</labl>
  </catgry>
  <catgry>
    <catValu>81007</catValu>
    <labl>Khangai Mountains alpine meadow</labl>
  </catgry>
  <catgry>
    <catValu>81008</catValu>
    <labl>Kopet Dag woodlands and forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>81009</catValu>
    <labl>Kuh Rud and Eastern Iran montane woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81010</catValu>
    <labl>Mediterranean High Atlas juniper steppe</labl>
  </catgry>
  <catgry>
    <catValu>81011</catValu>
    <labl>North Tibetan Plateau-Kunlun Mountains alpine desert</labl>
  </catgry>
  <catgry>
    <catValu>81012</catValu>
    <labl>Northwestern Himalayan alpine shrub and meadows</labl>
  </catgry>
  <catgry>
    <catValu>81013</catValu>
    <labl>Ordos Plateau steppe</labl>
  </catgry>
  <catgry>
    <catValu>81014</catValu>
    <labl>Pamir alpine desert and tundra</labl>
  </catgry>
  <catgry>
    <catValu>81015</catValu>
    <labl>Qilian Mountains subalpine meadows</labl>
  </catgry>
  <catgry>
    <catValu>81016</catValu>
    <labl>Sayan Alpine meadows and tundra</labl>
  </catgry>
  <catgry>
    <catValu>81017</catValu>
    <labl>Southeast Tibet shrublands and meadows</labl>
  </catgry>
  <catgry>
    <catValu>81018</catValu>
    <labl>Sulaiman Range alpine meadows</labl>
  </catgry>
  <catgry>
    <catValu>81019</catValu>
    <labl>Tian Shan montane steppe and meadows</labl>
  </catgry>
  <catgry>
    <catValu>81020</catValu>
    <labl>Tibetan Plateau alpine shrublands and meadows</labl>
  </catgry>
  <catgry>
    <catValu>81021</catValu>
    <labl>Western Himalayan alpine shrub and Meadows</labl>
  </catgry>
  <catgry>
    <catValu>81022</catValu>
    <labl>Yarlung Tsangpo arid steppe</labl>
  </catgry>
  <catgry>
    <catValu>81101</catValu>
    <labl>Arctic desert</labl>
  </catgry>
  <catgry>
    <catValu>81102</catValu>
    <labl>Bering tundra</labl>
  </catgry>
  <catgry>
    <catValu>81103</catValu>
    <labl>Cherskii-Kolyma mountain tundra</labl>
  </catgry>
  <catgry>
    <catValu>81104</catValu>
    <labl>Chukchi Peninsula tundra</labl>
  </catgry>
  <catgry>
    <catValu>81105</catValu>
    <labl>Kamchatka Mountain tundra and forest tundra</labl>
  </catgry>
  <catgry>
    <catValu>81106</catValu>
    <labl>Kola Peninsula tundra</labl>
  </catgry>
  <catgry>
    <catValu>81107</catValu>
    <labl>Northeast Siberian coastal tundra</labl>
  </catgry>
  <catgry>
    <catValu>81108</catValu>
    <labl>Northwest Russian-Novaya Zemlya tundra</labl>
  </catgry>
  <catgry>
    <catValu>81109</catValu>
    <labl>Novosibirsk Islands arctic desert</labl>
  </catgry>
  <catgry>
    <catValu>81110</catValu>
    <labl>Scandinavian Montane Birch forest and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>81111</catValu>
    <labl>Taimyr-Central Siberian tundra</labl>
  </catgry>
  <catgry>
    <catValu>81112</catValu>
    <labl>Trans-Baikal Bald Mountain tundra</labl>
  </catgry>
  <catgry>
    <catValu>81113</catValu>
    <labl>Wrangel Island arctic desert</labl>
  </catgry>
  <catgry>
    <catValu>81114</catValu>
    <labl>Yamal-Gydan tundra</labl>
  </catgry>
  <catgry>
    <catValu>81201</catValu>
    <labl>Aegean and Western Turkey sclerophyllous and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81202</catValu>
    <labl>Anatolian conifer and deciduous mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81203</catValu>
    <labl>Canary Islands dry woodlands and forests</labl>
  </catgry>
  <catgry>
    <catValu>81204</catValu>
    <labl>Corsican montane broadleaf and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81205</catValu>
    <labl>Crete Mediterranean forests</labl>
  </catgry>
  <catgry>
    <catValu>81206</catValu>
    <labl>Cyprus Mediterranean forests</labl>
  </catgry>
  <catgry>
    <catValu>81207</catValu>
    <labl>Eastern Mediterranean conifer-sclerophyllous-broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>81208</catValu>
    <labl>Iberian conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>81209</catValu>
    <labl>Iberian sclerophyllous and semi-deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>81210</catValu>
    <labl>Illyrian deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>81211</catValu>
    <labl>Italian sclerophyllous and semi-deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>81212</catValu>
    <labl>Mediterranean acacia-argania dry woodlands and succulent thickets</labl>
  </catgry>
  <catgry>
    <catValu>81213</catValu>
    <labl>Mediterranean dry woodlands and steppe</labl>
  </catgry>
  <catgry>
    <catValu>81214</catValu>
    <labl>Mediterranean woodlands and forests</labl>
  </catgry>
  <catgry>
    <catValu>81215</catValu>
    <labl>Northeastern Spain and Southern France Mediterranean forests</labl>
  </catgry>
  <catgry>
    <catValu>81216</catValu>
    <labl>Northwest Iberian montane forests</labl>
  </catgry>
  <catgry>
    <catValu>81217</catValu>
    <labl>Pindus Mountains mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81218</catValu>
    <labl>South Appenine mixed montane forests</labl>
  </catgry>
  <catgry>
    <catValu>81219</catValu>
    <labl>Southeastern Iberian shrubs and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81220</catValu>
    <labl>Southern Anatolian montane conifer and deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>81221</catValu>
    <labl>Southwest Iberian Mediterranean sclerophyllous and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81222</catValu>
    <labl>Tyrrhenian-Adriatic Sclerophyllous and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81301</catValu>
    <labl>Afghan Mountains semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81302</catValu>
    <labl>Alashan Plateau semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81303</catValu>
    <labl>Arabian Desert and East Sahero-Arabian xeric shrublands</labl>
  </catgry>
  <catgry>
    <catValu>81304</catValu>
    <labl>Atlantic coastal desert</labl>
  </catgry>
  <catgry>
    <catValu>81305</catValu>
    <labl>Azerbaijan shrub desert and steppe</labl>
  </catgry>
  <catgry>
    <catValu>81306</catValu>
    <labl>Badghyz and Karabil semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81307</catValu>
    <labl>Baluchistan xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81308</catValu>
    <labl>Caspian lowland desert</labl>
  </catgry>
  <catgry>
    <catValu>81309</catValu>
    <labl>Central Afghan Mountains xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81310</catValu>
    <labl>Central Asian northern desert</labl>
  </catgry>
  <catgry>
    <catValu>81311</catValu>
    <labl>Central Asian riparian woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81312</catValu>
    <labl>Central Asian southern desert</labl>
  </catgry>
  <catgry>
    <catValu>81313</catValu>
    <labl>Central Persian desert basins</labl>
  </catgry>
  <catgry>
    <catValu>81314</catValu>
    <labl>Eastern Gobi desert steppe</labl>
  </catgry>
  <catgry>
    <catValu>81315</catValu>
    <labl>Gobi Lakes Valley desert steppe</labl>
  </catgry>
  <catgry>
    <catValu>81316</catValu>
    <labl>Great Lakes Basin desert steppe</labl>
  </catgry>
  <catgry>
    <catValu>81317</catValu>
    <labl>Junggar Basin semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81318</catValu>
    <labl>Kazakh semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81319</catValu>
    <labl>Kopet Dag semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81320</catValu>
    <labl>Mesopotamian shrub desert</labl>
  </catgry>
  <catgry>
    <catValu>81321</catValu>
    <labl>North Saharan steppe and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81322</catValu>
    <labl>Paropamisus xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81323</catValu>
    <labl>Persian Gulf desert and semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81324</catValu>
    <labl>Qaidam Basin semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81325</catValu>
    <labl>Red Sea Nubo-Sindian tropical desert and semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81326</catValu>
    <labl>Registan-North Pakistan sandy desert</labl>
  </catgry>
  <catgry>
    <catValu>81327</catValu>
    <labl>Sahara desert</labl>
  </catgry>
  <catgry>
    <catValu>81328</catValu>
    <labl>South Iran Nubo-Sindian desert and semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81329</catValu>
    <labl>South Saharan steppe and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81330</catValu>
    <labl>Taklimakan desert</labl>
  </catgry>
  <catgry>
    <catValu>81331</catValu>
    <labl>Tibesti-Jebel Uweinat montane xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81332</catValu>
    <labl>West Saharan montane xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81333</catValu>
    <labl>Red Sea coastal desert</labl>
  </catgry>
  <txt>ECOREGION reports the predominant terrestrial ecoregion within a 5-kilometer circular buffer around each DHS cluster location. ECOREGION reports the biogeographic region (e.g., Afrotropic), the habitat type (e.g., tropical and subtropical grasslands, savannas, and shrublands), and the ecoregion (e.g., East Sudanian savanna) that are associated with each cluster location. ECOREGION is available for every IPUMS-DHS sample with GPS data.

There are 825 terrestrial ecoregions in the world. Ecoregions are relatively large units of land containing distinct assemblages of natural communities and species, with boundaries that approximate the original extent of natural communities prior to major land-use change. The 5-digit codes in ECOREGION (e.g., 30129) include a 1-digit realm code (with 8 possible values), followed by a 2-digit biome code (with 14 possible values), and then a 2-digit ecoregion number. For the full list of codes and their meaning, see the ecoregion legend  [URL omitted from DDI.].

ECOREGION, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_LIVELIHOOD" name="W_LIVELIHOOD" files="W" intrvl="discrete">
  <labl>Livelihood zone of household</labl>
  <imputation>Livelihood zone of household</imputation>
  <security>Livelihood zone of household</security>
  <embargo>Livelihood zone of household</embargo>
  <respUnit>Livelihood zone of household</respUnit>
  <catgry>
    <catValu>-00998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>004001</catValu>
    <labl>Eastern Pastoral and Forest Zone</labl>
  </catgry>
  <catgry>
    <catValu>004002</catValu>
    <labl>Eastern Agro-Pastoral and Forest Zone</labl>
  </catgry>
  <catgry>
    <catValu>004003</catValu>
    <labl>Eastern Agro-Pastoral and Rangeland Zone</labl>
  </catgry>
  <catgry>
    <catValu>004004</catValu>
    <labl>Eastern Semi-Arid Agricultural Zone</labl>
  </catgry>
  <catgry>
    <catValu>004005</catValu>
    <labl>Eastern Agricultural and Labor-Based Zone</labl>
  </catgry>
  <catgry>
    <catValu>004006</catValu>
    <labl>Eastern Intensively Irrigated Zone</labl>
  </catgry>
  <catgry>
    <catValu>004007</catValu>
    <labl>Eastern Cross-Border Trade and Labor-Based Zone</labl>
  </catgry>
  <catgry>
    <catValu>004008</catValu>
    <labl>Eastern Irrigated and Rainfed Agricultural Zone</labl>
  </catgry>
  <catgry>
    <catValu>004009</catValu>
    <labl>East-Central Irrigated Zone</labl>
  </catgry>
  <catgry>
    <catValu>004010</catValu>
    <labl>Southern Intensively Irrigated Cash Crop Zone</labl>
  </catgry>
  <catgry>
    <catValu>004011</catValu>
    <labl>Southern Semi-Arid Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004012</catValu>
    <labl>South-Central Agro-Pastoral and Labor-Based Zone</labl>
  </catgry>
  <catgry>
    <catValu>004013</catValu>
    <labl>Southern Desert Zone</labl>
  </catgry>
  <catgry>
    <catValu>004014</catValu>
    <labl>South-Central Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004015</catValu>
    <labl>North-Western Agro-Pastoral and Pistachio Zone</labl>
  </catgry>
  <catgry>
    <catValu>004016</catValu>
    <labl>Western Intensively Irrigated Zone</labl>
  </catgry>
  <catgry>
    <catValu>004017</catValu>
    <labl>Western Semi-Arid Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004018</catValu>
    <labl>West-Central Highland Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004019</catValu>
    <labl>Western and Southern Cross-Border Trade and Labor Zone</labl>
  </catgry>
  <catgry>
    <catValu>004020</catValu>
    <labl>North-Eastern Highland Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004021</catValu>
    <labl>Salangi Plains Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>004022</catValu>
    <labl>Northern Lowland Cereals and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>004023</catValu>
    <labl>Northern High Cereals Production Zone</labl>
  </catgry>
  <catgry>
    <catValu>004024</catValu>
    <labl>North-Central Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004025</catValu>
    <labl>Northern Irrigated and Rainfed Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>004026</catValu>
    <labl>Northern Intensively Irrigated Agricultural Zone</labl>
  </catgry>
  <catgry>
    <catValu>004027</catValu>
    <labl>Amo River Irrigation and Cross-Border Trade Zone</labl>
  </catgry>
  <catgry>
    <catValu>004028</catValu>
    <labl>East-Central Agro-Forestry Zone</labl>
  </catgry>
  <catgry>
    <catValu>004029</catValu>
    <labl>Central Cash-Crop and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>024001</catValu>
    <labl>Coastal fishing, horticulture, and non-farm income</labl>
  </catgry>
  <catgry>
    <catValu>024002</catValu>
    <labl>Transitional banana and pineapple farming</labl>
  </catgry>
  <catgry>
    <catValu>024003</catValu>
    <labl>Southern livestock, millet, and sorghum</labl>
  </catgry>
  <catgry>
    <catValu>024004</catValu>
    <labl>Sub humid livestock and maize</labl>
  </catgry>
  <catgry>
    <catValu>024005</catValu>
    <labl>Mid-eastern cassava and savannah forest</labl>
  </catgry>
  <catgry>
    <catValu>024006</catValu>
    <labl>Central highlands potato and vegetables</labl>
  </catgry>
  <catgry>
    <catValu>024007</catValu>
    <labl>Central highlands maize and beans</labl>
  </catgry>
  <catgry>
    <catValu>024008</catValu>
    <labl>Transitional lowland maize, cassava, and beans</labl>
  </catgry>
  <catgry>
    <catValu>024009</catValu>
    <labl>Tropical forest, cassava, banana, and coffee</labl>
  </catgry>
  <catgry>
    <catValu>024010</catValu>
    <labl>Savannah forest and market-oriented cassava</labl>
  </catgry>
  <catgry>
    <catValu>024011</catValu>
    <labl>Savannah forest and subsistence cassava</labl>
  </catgry>
  <catgry>
    <catValu>024012</catValu>
    <labl>Fishing, cassava, and cross-border trade</labl>
  </catgry>
  <catgry>
    <catValu>024013</catValu>
    <labl>Coastal livestock ranching</labl>
  </catgry>
  <catgry>
    <catValu>108001</catValu>
    <labl>Buragane</labl>
  </catgry>
  <catgry>
    <catValu>108002</catValu>
    <labl>Congo Ridge Millet</labl>
  </catgry>
  <catgry>
    <catValu>108003</catValu>
    <labl>Eastern Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>108004</catValu>
    <labl>Northern Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>108005</catValu>
    <labl>Northern Highlands</labl>
  </catgry>
  <catgry>
    <catValu>108006</catValu>
    <labl>Southern Highlands</labl>
  </catgry>
  <catgry>
    <catValu>108007</catValu>
    <labl>Imbo Plain</labl>
  </catgry>
  <catgry>
    <catValu>108008</catValu>
    <labl>Humid Plateaus</labl>
  </catgry>
  <catgry>
    <catValu>108009</catValu>
    <labl>Eastern Arid Plateaus</labl>
  </catgry>
  <catgry>
    <catValu>140001</catValu>
    <labl>Southeast cassava, peanuts, and maize</labl>
  </catgry>
  <catgry>
    <catValu>140002</catValu>
    <labl>Northeast hunting and food crops</labl>
  </catgry>
  <catgry>
    <catValu>140003</catValu>
    <labl>Northern sorghum and millet</labl>
  </catgry>
  <catgry>
    <catValu>140004</catValu>
    <labl>East central mining, cassava, and peanuts</labl>
  </catgry>
  <catgry>
    <catValu>140005</catValu>
    <labl>Southern coffee, cassava, and maize</labl>
  </catgry>
  <catgry>
    <catValu>140006</catValu>
    <labl>Central cassava, peanuts, and maize</labl>
  </catgry>
  <catgry>
    <catValu>140007</catValu>
    <labl>Central cotton, cassava, and maize</labl>
  </catgry>
  <catgry>
    <catValu>140008</catValu>
    <labl>Northern cotton, cassava, and sorghum</labl>
  </catgry>
  <catgry>
    <catValu>140009</catValu>
    <labl>Western cassava, maize, and peanuts</labl>
  </catgry>
  <catgry>
    <catValu>140010</catValu>
    <labl>Southern maize, citrus fruits, and vegetables</labl>
  </catgry>
  <catgry>
    <catValu>140011</catValu>
    <labl>Southwest cassava, coffee, gathering, and mining</labl>
  </catgry>
  <catgry>
    <catValu>148001</catValu>
    <labl>Southern Staple and Cash Crops</labl>
  </catgry>
  <catgry>
    <catValu>148002</catValu>
    <labl>Southwest Rice</labl>
  </catgry>
  <catgry>
    <catValu>148003</catValu>
    <labl>South-central Cereals</labl>
  </catgry>
  <catgry>
    <catValu>148004</catValu>
    <labl>Southeast Flood Retreat and Gum Arabic</labl>
  </catgry>
  <catgry>
    <catValu>148005</catValu>
    <labl>Central Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>148006</catValu>
    <labl>Eastern Rainfed Cereals and Market Gardening</labl>
  </catgry>
  <catgry>
    <catValu>148007</catValu>
    <labl>Transhumance</labl>
  </catgry>
  <catgry>
    <catValu>148008</catValu>
    <labl>Western Agropastoral and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>148009</catValu>
    <labl>Northern Oasis Cultivation with Camels and Natron</labl>
  </catgry>
  <catgry>
    <catValu>180001</catValu>
    <labl>Copperbelt and Marginal Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180002</catValu>
    <labl>Savannah Manioc</labl>
  </catgry>
  <catgry>
    <catValu>180003</catValu>
    <labl>Savannah Surplus Maize</labl>
  </catgry>
  <catgry>
    <catValu>180004</catValu>
    <labl>Kamalondo Depression</labl>
  </catgry>
  <catgry>
    <catValu>180005</catValu>
    <labl>Southern Tanganyika-Mwero Fishing</labl>
  </catgry>
  <catgry>
    <catValu>180006</catValu>
    <labl>Maniema Savannah Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180007</catValu>
    <labl>High Food Production and Surplus Trade</labl>
  </catgry>
  <catgry>
    <catValu>180008</catValu>
    <labl>Northern Tanganyika Midland Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180009</catValu>
    <labl>Agropastoral Mountains</labl>
  </catgry>
  <catgry>
    <catValu>180010</catValu>
    <labl>Midland Agricultural Savannah</labl>
  </catgry>
  <catgry>
    <catValu>180011</catValu>
    <labl>Rutshuru Volcanic Soils and Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180012</catValu>
    <labl>Forest Cultivation and Products</labl>
  </catgry>
  <catgry>
    <catValu>180013</catValu>
    <labl>Artisanal Mining with Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180014</catValu>
    <labl>Northeast Highlands Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180015</catValu>
    <labl>Orientale Fishing with Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180016</catValu>
    <labl>Northern Plateau Cassava, Maize, Groundnuts and Beans</labl>
  </catgry>
  <catgry>
    <catValu>180017</catValu>
    <labl>Bumba Rice and Tubers</labl>
  </catgry>
  <catgry>
    <catValu>180018</catValu>
    <labl>Bomongo and Makanza Districts Intensive Fishing</labl>
  </catgry>
  <catgry>
    <catValu>180019</catValu>
    <labl>Fishing and Staples Riverine</labl>
  </catgry>
  <catgry>
    <catValu>180020</catValu>
    <labl>Cuvette Centrale Staple Crops, Fishing and Charcoal</labl>
  </catgry>
  <catgry>
    <catValu>180021</catValu>
    <labl>Equatorial Forest, Hunting, Fishing and Staple Crops</labl>
  </catgry>
  <catgry>
    <catValu>180022</catValu>
    <labl>Lighter Forest with Rice and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>180023</catValu>
    <labl>Savannah with Cassava and Cowpeas and Small Livestock</labl>
  </catgry>
  <catgry>
    <catValu>180024</catValu>
    <labl>High Food Crop Production and Trading</labl>
  </catgry>
  <catgry>
    <catValu>180025</catValu>
    <labl>Intensive Artisanal Diamond Exploitation with Crop Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>180026</catValu>
    <labl>Clay Soils with High Production of Cassava and Maize, and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>180027</catValu>
    <labl>Agropastoral â€“ Staple Crops, Small Stock and Cattle and Wild Foods</labl>
  </catgry>
  <catgry>
    <catValu>180028</catValu>
    <labl>Agriculture with High Production and Marketing</labl>
  </catgry>
  <catgry>
    <catValu>180029</catValu>
    <labl>Cassava, Maize and Groundnuts</labl>
  </catgry>
  <catgry>
    <catValu>180030</catValu>
    <labl>Market Gardening and Staple Crops</labl>
  </catgry>
  <catgry>
    <catValu>180031</catValu>
    <labl>River Fishing and Staple Crops</labl>
  </catgry>
  <catgry>
    <catValu>180032</catValu>
    <labl>Coastal Ocean Fishing and Kitchen Gardening</labl>
  </catgry>
  <catgry>
    <catValu>180033</catValu>
    <labl>Forest â€“ Staple Crops, Cash Crops and Market Gardening</labl>
  </catgry>
  <catgry>
    <catValu>180034</catValu>
    <labl>Kinshasa Peri-urban</labl>
  </catgry>
  <catgry>
    <catValu>222001</catValu>
    <labl>Basic Grain and Labor Zone</labl>
  </catgry>
  <catgry>
    <catValu>222002</catValu>
    <labl>Coffee, Agro-Industrial and Labor Zone</labl>
  </catgry>
  <catgry>
    <catValu>222003</catValu>
    <labl>Sugarcane, Agro-Industry and Labor Zone</labl>
  </catgry>
  <catgry>
    <catValu>222004</catValu>
    <labl>Eastern Basic Grain, Labor, Livestock and Remittance Zone</labl>
  </catgry>
  <catgry>
    <catValu>222005</catValu>
    <labl>Central Free-Trade, Services and Industrial Labor Zone</labl>
  </catgry>
  <catgry>
    <catValu>222006</catValu>
    <labl>Fishing, Aquaculture and Tourism Zone</labl>
  </catgry>
  <catgry>
    <catValu>231001</catValu>
    <labl>Addis Ababa City</labl>
  </catgry>
  <catgry>
    <catValu>231002</catValu>
    <labl>Asale Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231003</catValu>
    <labl>Awsa-Gewane Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231004</catValu>
    <labl>Aramiss - Adaar Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231005</catValu>
    <labl>Asale Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231006</catValu>
    <labl>Chenno Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231007</catValu>
    <labl>Eli daar Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231008</catValu>
    <labl>Namalefan &amp; Baadu Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231009</catValu>
    <labl>Teru Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231010</catValu>
    <labl>Abay Beshilo River Basin</labl>
  </catgry>
  <catgry>
    <catValu>231011</catValu>
    <labl>Abay Tekeze Watershed</labl>
  </catgry>
  <catgry>
    <catValu>231012</catValu>
    <labl>Central Highland Barley &amp; Potato</labl>
  </catgry>
  <catgry>
    <catValu>231013</catValu>
    <labl>Cheffa valley</labl>
  </catgry>
  <catgry>
    <catValu>231014</catValu>
    <labl>Guna Highland</labl>
  </catgry>
  <catgry>
    <catValu>231015</catValu>
    <labl>Merhabete Lowland Sorghum and teff</labl>
  </catgry>
  <catgry>
    <catValu>231016</catValu>
    <labl>Minjar teff and livestock</labl>
  </catgry>
  <catgry>
    <catValu>231017</catValu>
    <labl>Minjar teff and sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231018</catValu>
    <labl>North Wollo Highland Belg</labl>
  </catgry>
  <catgry>
    <catValu>231019</catValu>
    <labl>North East Woyna Dega Mixed Cereal</labl>
  </catgry>
  <catgry>
    <catValu>231020</catValu>
    <labl>North Shewa highland sheep and barley</labl>
  </catgry>
  <catgry>
    <catValu>231021</catValu>
    <labl>North Shewa Highland Wheat and Teff productive</labl>
  </catgry>
  <catgry>
    <catValu>231022</catValu>
    <labl>N Highland wheat, Barley &amp; Sheep</labl>
  </catgry>
  <catgry>
    <catValu>231023</catValu>
    <labl>NorthWest Cash Crop</labl>
  </catgry>
  <catgry>
    <catValu>231024</catValu>
    <labl>North Wollo East Plain</labl>
  </catgry>
  <catgry>
    <catValu>231025</catValu>
    <labl>NorthWest Sorghum Belt</labl>
  </catgry>
  <catgry>
    <catValu>231026</catValu>
    <labl>South Wollo Meher</labl>
  </catgry>
  <catgry>
    <catValu>231027</catValu>
    <labl>South Wollo Belg</labl>
  </catgry>
  <catgry>
    <catValu>231028</catValu>
    <labl>South West Maize, Finger Millet and Teff productive</labl>
  </catgry>
  <catgry>
    <catValu>231029</catValu>
    <labl>South Wollo &amp; Oromia Eastern lowland sorghum &amp; cattle</labl>
  </catgry>
  <catgry>
    <catValu>231030</catValu>
    <labl>South East Woyna Dega Teff</labl>
  </catgry>
  <catgry>
    <catValu>231031</catValu>
    <labl>South West Woyna Dega wheat</labl>
  </catgry>
  <catgry>
    <catValu>231032</catValu>
    <labl>Tekeze Lowland Sorghum and Goats</labl>
  </catgry>
  <catgry>
    <catValu>231033</catValu>
    <labl>Tana Zuria</labl>
  </catgry>
  <catgry>
    <catValu>231034</catValu>
    <labl>South Wollo Meher and Belg</labl>
  </catgry>
  <catgry>
    <catValu>231035</catValu>
    <labl>Central Kolla Sorghum, Maize &amp; Millet</labl>
  </catgry>
  <catgry>
    <catValu>231036</catValu>
    <labl>Midland Teff &amp; Coffee</labl>
  </catgry>
  <catgry>
    <catValu>231037</catValu>
    <labl>Western Dry Kolla Sorghum, Maize &amp; Mining</labl>
  </catgry>
  <catgry>
    <catValu>231038</catValu>
    <labl>Meketel Highland Cereal &amp; Pulses</labl>
  </catgry>
  <catgry>
    <catValu>231039</catValu>
    <labl>Gambella Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231040</catValu>
    <labl>Gambella Coffee, Honey &amp; Cereal LZ</labl>
  </catgry>
  <catgry>
    <catValu>231041</catValu>
    <labl>Gambella Mixed Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>231042</catValu>
    <labl>No Data</labl>
  </catgry>
  <catgry>
    <catValu>231043</catValu>
    <labl>Arsi Bale Wheat, Barley &amp; Potato</labl>
  </catgry>
  <catgry>
    <catValu>231044</catValu>
    <labl>Anfilo Coffee Monoculture &amp; Honey</labl>
  </catgry>
  <catgry>
    <catValu>231045</catValu>
    <labl>Abe Dongoro-Diga-Sasiga Coffee &amp; Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231046</catValu>
    <labl>Adaba Dodola Community Forest</labl>
  </catgry>
  <catgry>
    <catValu>231047</catValu>
    <labl>Agarfa, Gasera, Ginir &amp; Gololcha Fruit, Coffee &amp; Chat</labl>
  </catgry>
  <catgry>
    <catValu>231048</catValu>
    <labl>Ambo Selale Ginderberet Teff &amp; Wheat</labl>
  </catgry>
  <catgry>
    <catValu>231049</catValu>
    <labl>Abijata Shala Jido Agro-Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231050</catValu>
    <labl>Abay Gorge Sesame, Maize &amp; Honey</labl>
  </catgry>
  <catgry>
    <catValu>231051</catValu>
    <labl>Ameya-Wolisso-Ambo Teff &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231052</catValu>
    <labl>Becho-Adea Teff &amp; Chickpea</labl>
  </catgry>
  <catgry>
    <catValu>231053</catValu>
    <labl>Borena-Guji Maize, Wheat &amp; Livestock</labl>
  </catgry>
  <catgry>
    <catValu>231054</catValu>
    <labl>Borena-Guji Coffee &amp; Enset</labl>
  </catgry>
  <catgry>
    <catValu>231055</catValu>
    <labl>Borena-Guji Cattle Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>231056</catValu>
    <labl>Bale Agro-Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231057</catValu>
    <labl>Bale Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>231058</catValu>
    <labl>Chercher &amp; Gololcha Chole Coffee, Maize &amp; Chat</labl>
  </catgry>
  <catgry>
    <catValu>231059</catValu>
    <labl>Central Horo Teff, Nug &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231060</catValu>
    <labl>Chebo-Inchini Enset, Barley &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231061</catValu>
    <labl>Chat &amp; Vegetables</labl>
  </catgry>
  <catgry>
    <catValu>231062</catValu>
    <labl>Dallo, Barbare &amp; Arana-Buluk Coffee</labl>
  </catgry>
  <catgry>
    <catValu>231063</catValu>
    <labl>Dale-Lalo Sorghum &amp; Maize</labl>
  </catgry>
  <catgry>
    <catValu>231064</catValu>
    <labl>Didessa-Gibe-Wama Valley Sorghum, Maize &amp; Oilcrops</labl>
  </catgry>
  <catgry>
    <catValu>231065</catValu>
    <labl>Ebantu-Limu Teff &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231066</catValu>
    <labl>Guduru-Amuru Maize, Teff &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231067</catValu>
    <labl>Guji-Borena Enset, Barley &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231068</catValu>
    <labl>Gerbo Enset &amp; Chat</labl>
  </catgry>
  <catgry>
    <catValu>231069</catValu>
    <labl>Gursum-Babile Groundnuts &amp; Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231070</catValu>
    <labl>Gera-Setema-Sale Forest Teff, Honey &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231071</catValu>
    <labl>Gibe Maize &amp; Peppers</labl>
  </catgry>
  <catgry>
    <catValu>231072</catValu>
    <labl>Goro-Ginir Spice &amp; Wheat</labl>
  </catgry>
  <catgry>
    <catValu>231073</catValu>
    <labl>Anger Maize, Sorghum &amp; Finger Millet</labl>
  </catgry>
  <catgry>
    <catValu>231074</catValu>
    <labl>Illu-Wellega-Birbir Maize, Peppers &amp; Sesame</labl>
  </catgry>
  <catgry>
    <catValu>231075</catValu>
    <labl>Jimma-Illubabur Coffee, Cereals &amp; Chat</labl>
  </catgry>
  <catgry>
    <catValu>231076</catValu>
    <labl>Jaldu-Dendi-Ilfata Barley &amp; Potato</labl>
  </catgry>
  <catgry>
    <catValu>231077</catValu>
    <labl>Jimma-Yama Logi Teff &amp; Maize</labl>
  </catgry>
  <catgry>
    <catValu>231078</catValu>
    <labl>Kofele Kokosa Enset &amp; Cattle Belt</labl>
  </catgry>
  <catgry>
    <catValu>231079</catValu>
    <labl>Muger-Abay-Jema Sorghum &amp; Teff Belt</labl>
  </catgry>
  <catgry>
    <catValu>231080</catValu>
    <labl>Melka Awash-Ochocha Mid-Highland Wheat &amp; Teff</labl>
  </catgry>
  <catgry>
    <catValu>231081</catValu>
    <labl>Moyale Agro-Pastoral, Labour &amp; Cross-Border Trade</labl>
  </catgry>
  <catgry>
    <catValu>231082</catValu>
    <labl>Moyale Cattle, Shoats &amp; Camel Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>231083</catValu>
    <labl>Market-Isolated Cattle &amp; Shoat Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>231084</catValu>
    <labl>Kereyu Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231085</catValu>
    <labl>Mendi-Dabisu Maize, Sesame &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231086</catValu>
    <labl>North-East Agro-Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231087</catValu>
    <labl>Nadda-Gilgel Gibe Maize, Teff and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231088</catValu>
    <labl>Nole-Meko-Diga Teff &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231089</catValu>
    <labl>Nejo-Dilla Teff, Finger Millet &amp; Nug</labl>
  </catgry>
  <catgry>
    <catValu>231090</catValu>
    <labl>Southern Agro-Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231091</catValu>
    <labl>Keto-Begi Cereals &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231092</catValu>
    <labl>Robe Chole Sude &amp; Seru Teff Maize Haricot Bean Belt</labl>
  </catgry>
  <catgry>
    <catValu>231093</catValu>
    <labl>Rift Valley Maize &amp; Horse Bean</labl>
  </catgry>
  <catgry>
    <catValu>231094</catValu>
    <labl>Selale-Ambo Highland Barley, Wheat and Horsebean belt</labl>
  </catgry>
  <catgry>
    <catValu>231095</catValu>
    <labl>Soddo Highland Wheat, Barley &amp; Enset</labl>
  </catgry>
  <catgry>
    <catValu>231096</catValu>
    <labl>Siraro Kofele Potato &amp; Vegetables</labl>
  </catgry>
  <catgry>
    <catValu>231097</catValu>
    <labl>Sorghum, Maize &amp; Chat</labl>
  </catgry>
  <catgry>
    <catValu>231098</catValu>
    <labl>Shirka Ticho Spice &amp; Teff</labl>
  </catgry>
  <catgry>
    <catValu>231099</catValu>
    <labl>Wheat, Barley &amp; Potato</labl>
  </catgry>
  <catgry>
    <catValu>231100</catValu>
    <labl>Wellega-Dedo Highland Wheat &amp; Barley</labl>
  </catgry>
  <catgry>
    <catValu>231101</catValu>
    <labl>Wuchale-Abichu-Kembebit Livestock, 'Wild Oats' &amp; Barley/Wheat</labl>
  </catgry>
  <catgry>
    <catValu>231102</catValu>
    <labl>Wellega Coffee, Maize &amp; Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231103</catValu>
    <labl>Amaro Coffee and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231104</catValu>
    <labl>Awassa Chat and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231105</catValu>
    <labl>Alaba-Mareko Lowland Pepper LZ</labl>
  </catgry>
  <catgry>
    <catValu>231106</catValu>
    <labl>Badewacho-Alaba Maize LZ</labl>
  </catgry>
  <catgry>
    <catValu>231107</catValu>
    <labl>Bilate Basin Agro-Pastoral LZ</labl>
  </catgry>
  <catgry>
    <catValu>231108</catValu>
    <labl>Bench-Keffa Cereal and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231109</catValu>
    <labl>Basketo-Melo Coffee and Root Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231110</catValu>
    <labl>Dawro-Konta Maize and Root Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231111</catValu>
    <labl>Western Coffee and Spices LZ - Eastern sub-zone</labl>
  </catgry>
  <catgry>
    <catValu>231112</catValu>
    <labl>Gedeo Coffee LZ</labl>
  </catgry>
  <catgry>
    <catValu>231113</catValu>
    <labl>Gurage-Siltie Highland Enset and Barley LZ</labl>
  </catgry>
  <catgry>
    <catValu>231114</catValu>
    <labl>Gurage-Siltie Midland Enset and Chat LZ</labl>
  </catgry>
  <catgry>
    <catValu>231115</catValu>
    <labl>Gurage-Siltie Enset and Teff LZ</labl>
  </catgry>
  <catgry>
    <catValu>231116</catValu>
    <labl>Gamo Gofa Enset and Barley LZ</labl>
  </catgry>
  <catgry>
    <catValu>231117</catValu>
    <labl>Gurage Lowland Maize and Teff LZ</labl>
  </catgry>
  <catgry>
    <catValu>231118</catValu>
    <labl>Gamo Gofa Maize and Root Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231119</catValu>
    <labl>Hadero Ginger LZ</labl>
  </catgry>
  <catgry>
    <catValu>231120</catValu>
    <labl>Hadiya Maize LZ</labl>
  </catgry>
  <catgry>
    <catValu>231121</catValu>
    <labl>Hadiya-Kembata Cereal and Enset LZ - Hadiya sub zone</labl>
  </catgry>
  <catgry>
    <catValu>231122</catValu>
    <labl>Chamo-Abaya Irrigated Banana LZ</labl>
  </catgry>
  <catgry>
    <catValu>231123</catValu>
    <labl>Kedida-Badewacho Coffee LZ</labl>
  </catgry>
  <catgry>
    <catValu>231124</catValu>
    <labl>Hadiya-Kembata Cereal and Enset LZ - Kembata sub-zone</labl>
  </catgry>
  <catgry>
    <catValu>231125</catValu>
    <labl>Kaffa Cereal and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231126</catValu>
    <labl>Southern Special Woredas Lowland Cereal LZ</labl>
  </catgry>
  <catgry>
    <catValu>231127</catValu>
    <labl>Omo River Flood Recession LZ</labl>
  </catgry>
  <catgry>
    <catValu>231128</catValu>
    <labl>Omo Valley Maize and Sorghum LZ</labl>
  </catgry>
  <catgry>
    <catValu>231129</catValu>
  </catgry>
  <catgry>
    <catValu>231130</catValu>
    <labl>Southern Cereal, Enset and Root Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231131</catValu>
    <labl>Sidama Coffee LZ</labl>
  </catgry>
  <catgry>
    <catValu>231132</catValu>
    <labl>Surma Agro-Pastoral LZ</labl>
  </catgry>
  <catgry>
    <catValu>231133</catValu>
    <labl>Sidama-Gedeo Highland Enset and Barley LZ</labl>
  </catgry>
  <catgry>
    <catValu>231134</catValu>
    <labl>Sidama Maize Belt LZ</labl>
  </catgry>
  <catgry>
    <catValu>231135</catValu>
    <labl>Southern Agro-Pastoral Livelihood Zone</labl>
  </catgry>
  <catgry>
    <catValu>231136</catValu>
    <labl>South Omo Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231137</catValu>
    <labl>South Omo Pastoral LZ</labl>
  </catgry>
  <catgry>
    <catValu>231138</catValu>
    <labl>Salamago Pastoral LZ</labl>
  </catgry>
  <catgry>
    <catValu>231139</catValu>
    <labl>Sheka Cereal and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231140</catValu>
    <labl>Wolayita Ginger and Coffee LZ</labl>
  </catgry>
  <catgry>
    <catValu>231141</catValu>
    <labl>Western Coffee and Spices LZ - Western sub-zone</labl>
  </catgry>
  <catgry>
    <catValu>231142</catValu>
    <labl>Western Forest Products LZ</labl>
  </catgry>
  <catgry>
    <catValu>231143</catValu>
    <labl>Wolayita Maize and Root Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231144</catValu>
    <labl>Wolayita Barley and Wheat LZ</labl>
  </catgry>
  <catgry>
    <catValu>231145</catValu>
    <labl>Yem Cereal and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231146</catValu>
    <labl>Afder Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231147</catValu>
    <labl>Degahbur Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231148</catValu>
    <labl>Dawa-Ganale Riverine</labl>
  </catgry>
  <catgry>
    <catValu>231149</catValu>
    <labl>Filtu-Dolo Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231150</catValu>
    <labl>Fik Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231151</catValu>
    <labl>Gode Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231152</catValu>
    <labl>Harshin-Degahbur East Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231153</catValu>
    <labl>Jijiga Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231154</catValu>
    <labl>Jijiga Sedentary Farming</labl>
  </catgry>
  <catgry>
    <catValu>231155</catValu>
    <labl>Korahe Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231156</catValu>
    <labl>Korahe-Gode Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231157</catValu>
    <labl>Liban Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231158</catValu>
    <labl>Lowland-Hawd Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231159</catValu>
    <labl>Moyale-Wayamo Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231160</catValu>
    <labl>No Data</labl>
  </catgry>
  <catgry>
    <catValu>231161</catValu>
    <labl>Shinile Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231162</catValu>
    <labl>Shinile Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231163</catValu>
    <labl>Shabelle Riverine</labl>
  </catgry>
  <catgry>
    <catValu>231164</catValu>
    <labl>Adiyabo Lowland</labl>
  </catgry>
  <catgry>
    <catValu>231165</catValu>
    <labl>Alaje Ofla Highland</labl>
  </catgry>
  <catgry>
    <catValu>231166</catValu>
    <labl>Atsbi Womberta Highland</labl>
  </catgry>
  <catgry>
    <catValu>231167</catValu>
    <labl>Central Mixed Crop</labl>
  </catgry>
  <catgry>
    <catValu>231168</catValu>
    <labl>Enderta Dry Midland</labl>
  </catgry>
  <catgry>
    <catValu>231169</catValu>
    <labl>Eastern Planteau</labl>
  </catgry>
  <catgry>
    <catValu>231170</catValu>
    <labl>Gesho and Wheat Highland</labl>
  </catgry>
  <catgry>
    <catValu>231171</catValu>
    <labl>Humera Sesame and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231172</catValu>
    <labl>Irob Mountains</labl>
  </catgry>
  <catgry>
    <catValu>231173</catValu>
    <labl>Mereb Basin</labl>
  </catgry>
  <catgry>
    <catValu>231174</catValu>
    <labl>Middle Tekeze</labl>
  </catgry>
  <catgry>
    <catValu>231175</catValu>
    <labl>Raya Valley</labl>
  </catgry>
  <catgry>
    <catValu>231176</catValu>
    <labl>Tsirare Catchment</labl>
  </catgry>
  <catgry>
    <catValu>231177</catValu>
    <labl>West Central Teff</labl>
  </catgry>
  <catgry>
    <catValu>231178</catValu>
    <labl>Werie Catchment</labl>
  </catgry>
  <catgry>
    <catValu>231179</catValu>
    <labl>Western Cereal and Sesame</labl>
  </catgry>
  <catgry>
    <catValu>262001</catValu>
    <labl>Northwest Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>262002</catValu>
    <labl>Central Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>262003</catValu>
    <labl>Southeast Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>262004</catValu>
    <labl>Market Gardening</labl>
  </catgry>
  <catgry>
    <catValu>262005</catValu>
    <labl>Djibouti City</labl>
  </catgry>
  <catgry>
    <catValu>324001</catValu>
    <labl>Coastal: Rice, Fishing, Palm oil</labl>
  </catgry>
  <catgry>
    <catValu>324002</catValu>
    <labl>Piedmont: Rice, Groundnut, Horticulture</labl>
  </catgry>
  <catgry>
    <catValu>324003</catValu>
    <labl>Central plateau: Horticulture, Fonio, Livestock</labl>
  </catgry>
  <catgry>
    <catValu>324004</catValu>
    <labl>Mountain: Livestock, Fonio, Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>324005</catValu>
    <labl>Mountain : Rice, Livestock, Fonio</labl>
  </catgry>
  <catgry>
    <catValu>324006</catValu>
    <labl>Northern plateau: Rice, Groundnut, Livestock</labl>
  </catgry>
  <catgry>
    <catValu>324007</catValu>
    <labl>Savannah with shrubs: Rice, Gold mining, Livestock</labl>
  </catgry>
  <catgry>
    <catValu>324008</catValu>
    <labl>Northeast: Maize, Gold mining, Livestock</labl>
  </catgry>
  <catgry>
    <catValu>324009</catValu>
    <labl>Wooded savannah: Rice, Manioc, Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>324010</catValu>
    <labl>Pre-forest zone: Rice, Manioc, Livestock</labl>
  </catgry>
  <catgry>
    <catValu>324011</catValu>
    <labl>Forest: Rice, Palm oil, Coffee</labl>
  </catgry>
  <catgry>
    <catValu>332001</catValu>
    <labl>Dry Coastal Maize and Charcoal</labl>
  </catgry>
  <catgry>
    <catValu>332002</catValu>
    <labl>North Tubers and Horticulture</labl>
  </catgry>
  <catgry>
    <catValu>332003</catValu>
    <labl>Central Plateau Maize and Tubers</labl>
  </catgry>
  <catgry>
    <catValu>332004</catValu>
    <labl>Rice Plains of the Artibonite</labl>
  </catgry>
  <catgry>
    <catValu>332005</catValu>
    <labl>Western Banana Plains of Arcahaie</labl>
  </catgry>
  <catgry>
    <catValu>332006</catValu>
    <labl>West Gardening and Beans</labl>
  </catgry>
  <catgry>
    <catValu>332007</catValu>
    <labl>South Beans, Bananas, and Petty Trade</labl>
  </catgry>
  <catgry>
    <catValu>332008</catValu>
    <labl>Southwestern Coast Maize, Manioc, and Bush Products</labl>
  </catgry>
  <catgry>
    <catValu>332009</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>340000</catValu>
    <labl>Casco urbano</labl>
  </catgry>
  <catgry>
    <catValu>340001</catValu>
    <labl>Zona de medios de vida litoral GarÃ­funa y de turismo en islas de la BahÃ­a</labl>
  </catgry>
  <catgry>
    <catValu>340002</catValu>
    <labl>Zona litoral atlÃ¡ntica productora de aceite de palma</labl>
  </catgry>
  <catgry>
    <catValu>340003</catValu>
    <labl>Zona de venta de obra en maquilas, banano y caÃ±a de azÃºcar</labl>
  </catgry>
  <catgry>
    <catValu>340004</catValu>
    <labl>Zona Mosquitia de caza y pesca</labl>
  </catgry>
  <catgry>
    <catValu>340005</catValu>
    <labl>Zona montaÃ±osa de cafÃ©</labl>
  </catgry>
  <catgry>
    <catValu>340006</catValu>
    <labl>Zona de medios de vida pesquera y salinera del Golfo de Fonseca</labl>
  </catgry>
  <catgry>
    <catValu>340007</catValu>
    <labl>Zona de granos bÃ¡sicos de subsistencia y remesas</labl>
  </catgry>
  <catgry>
    <catValu>340008</catValu>
    <labl>Zona de venta de mano de obra en melÃ³n, sandÃ­a y camarÃ³n</labl>
  </catgry>
  <catgry>
    <catValu>340009</catValu>
    <labl>Zona de medios de vida, granos bÃ¡sicos y ganaderÃ­a</labl>
  </catgry>
  <catgry>
    <catValu>340010</catValu>
    <labl>Reserva del RÃ­o Platano</labl>
  </catgry>
  <catgry>
    <catValu>404001</catValu>
    <labl>Northwestern Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404002</catValu>
    <labl>Turkwell Riverine Zone</labl>
  </catgry>
  <catgry>
    <catValu>404003</catValu>
    <labl>Northwestern Agropastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404004</catValu>
    <labl>Lake Turkana Fishing</labl>
  </catgry>
  <catgry>
    <catValu>404005</catValu>
    <labl>Northern Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404006</catValu>
    <labl>Marsabit Marginal Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404007</catValu>
    <labl>Northeastern Agropastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404008</catValu>
    <labl>Mandera Riverine Zone</labl>
  </catgry>
  <catgry>
    <catValu>404009</catValu>
    <labl>Northeastern Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404010</catValu>
    <labl>Eastern Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404011</catValu>
    <labl>Southeastern Pastoral  Zone</labl>
  </catgry>
  <catgry>
    <catValu>404012</catValu>
    <labl>Coastal Medium Potential Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404013</catValu>
    <labl>Coastal Marginal Agricultural Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404014</catValu>
    <labl>Tana Riverine Zone</labl>
  </catgry>
  <catgry>
    <catValu>404015</catValu>
    <labl>Southern Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404016</catValu>
    <labl>Southeastern Marginal Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404017</catValu>
    <labl>Southeastern Medium Potential, Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404018</catValu>
    <labl>Southern Agropastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404019</catValu>
    <labl>Central Highlands, High Potential Zone</labl>
  </catgry>
  <catgry>
    <catValu>404020</catValu>
    <labl>Western Medium Potential Zone</labl>
  </catgry>
  <catgry>
    <catValu>404021</catValu>
    <labl>Western High Potential Zone</labl>
  </catgry>
  <catgry>
    <catValu>404022</catValu>
    <labl>Western Lakeshore Marginal Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404023</catValu>
    <labl>Lake Victoria Fishing Zone</labl>
  </catgry>
  <catgry>
    <catValu>404024</catValu>
    <labl>Western Agropastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>426001</catValu>
    <labl>Northern Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>426002</catValu>
    <labl>Southern Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>426003</catValu>
    <labl>Foothills</labl>
  </catgry>
  <catgry>
    <catValu>426004</catValu>
    <labl>Mountains</labl>
  </catgry>
  <catgry>
    <catValu>426005</catValu>
    <labl>Senqu River Valley</labl>
  </catgry>
  <catgry>
    <catValu>430001</catValu>
    <labl>North-East Rice Farming Palm Oil</labl>
  </catgry>
  <catgry>
    <catValu>430002</catValu>
    <labl>North/Central Rice with Cassava and Market Gardening</labl>
  </catgry>
  <catgry>
    <catValu>430003</catValu>
    <labl>South-East Rice with Cassava</labl>
  </catgry>
  <catgry>
    <catValu>430004</catValu>
    <labl>Coastal Plain Cassava with Rice and Inland Fishing</labl>
  </catgry>
  <catgry>
    <catValu>430005</catValu>
    <labl>Coastal Fishing and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>430006</catValu>
    <labl>Rice Intercropped and Forest Hunting</labl>
  </catgry>
  <catgry>
    <catValu>430007</catValu>
    <labl>Border Cacao and Coffee Farming</labl>
  </catgry>
  <catgry>
    <catValu>430008</catValu>
    <labl>Rubber and Charcoal with Food Crops</labl>
  </catgry>
  <catgry>
    <catValu>430009</catValu>
    <labl>Peri-Urban: Petty Trade, Market Gardening and Casual Employment</labl>
  </catgry>
  <catgry>
    <catValu>430010</catValu>
    <labl>Mining/Concession and Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>430098</catValu>
    <labl>National Parks</labl>
  </catgry>
  <catgry>
    <catValu>430099</catValu>
    <labl>Urban Areas</labl>
  </catgry>
  <catgry>
    <catValu>450001</catValu>
    <labl>Extreme north: sugar cane, fishing, tourism</labl>
  </catgry>
  <catgry>
    <catValu>450002</catValu>
    <labl>North: vanilla, clove, coconut tree</labl>
  </catgry>
  <catgry>
    <catValu>450003</catValu>
    <labl>Sofia River basin: tobacco, onion, fishing</labl>
  </catgry>
  <catgry>
    <catValu>450004</catValu>
    <labl>Northern highland: rice, zebu</labl>
  </catgry>
  <catgry>
    <catValu>450005</catValu>
    <labl>Betsiboka Delta: rice, fishing</labl>
  </catgry>
  <catgry>
    <catValu>450006</catValu>
    <labl>Upper Betsiboka: gold mining, rice, cows</labl>
  </catgry>
  <catgry>
    <catValu>450007</catValu>
    <labl>Aloatra: rice, fishing, livestock rearing</labl>
  </catgry>
  <catgry>
    <catValu>450008</catValu>
    <labl>Toamasina: cloves, coffee, trade</labl>
  </catgry>
  <catgry>
    <catValu>450009</catValu>
    <labl>West: rice, fishing, gathering</labl>
  </catgry>
  <catgry>
    <catValu>450010</catValu>
    <labl>Agropastoral midwest: rice, maize, pulses</labl>
  </catgry>
  <catgry>
    <catValu>450011</catValu>
    <labl>Central Iarivo: rice, market gardening, eucalyptus</labl>
  </catgry>
  <catgry>
    <catValu>450012</catValu>
    <labl>Moramanga: forest, petty trade, market gardening</labl>
  </catgry>
  <catgry>
    <catValu>450013</catValu>
    <labl>Center-east: litchi, coffee, citrus</labl>
  </catgry>
  <catgry>
    <catValu>450014</catValu>
    <labl>Ankaratra: staple crops, horticulture, milk</labl>
  </catgry>
  <catgry>
    <catValu>450015</catValu>
    <labl>Tsirobihina Delta: rice, fishing, pulses</labl>
  </catgry>
  <catgry>
    <catValu>450016</catValu>
    <labl>South-central peneplain: rice, onion, small livestock</labl>
  </catgry>
  <catgry>
    <catValu>450017</catValu>
    <labl>Southern highlands: staple crops, crafts, market gardening</labl>
  </catgry>
  <catgry>
    <catValu>450018</catValu>
    <labl>Corridor: forest products, banana</labl>
  </catgry>
  <catgry>
    <catValu>450019</catValu>
    <labl>Southeast: coffee, litchi, cassava</labl>
  </catgry>
  <catgry>
    <catValu>450020</catValu>
    <labl>Southwest: rice, lima bean</labl>
  </catgry>
  <catgry>
    <catValu>450021</catValu>
    <labl>Bara plateau: cows, cassava</labl>
  </catgry>
  <catgry>
    <catValu>450022</catValu>
    <labl>Center-south: staple crops, industrial sisal, zebu</labl>
  </catgry>
  <catgry>
    <catValu>450023</catValu>
    <labl>Mahafaly plateau: cassava</labl>
  </catgry>
  <catgry>
    <catValu>450024</catValu>
    <labl>Extreme south: cassava, maize, livestock rearing</labl>
  </catgry>
  <catgry>
    <catValu>454001</catValu>
    <labl>Central Karonga</labl>
  </catgry>
  <catgry>
    <catValu>454002</catValu>
    <labl>Chitipa Millet &amp; Maize</labl>
  </catgry>
  <catgry>
    <catValu>454003</catValu>
    <labl>Kasungu Lilongwe Plain</labl>
  </catgry>
  <catgry>
    <catValu>454004</catValu>
    <labl>Lake Chilwa - Phalombe Plain</labl>
  </catgry>
  <catgry>
    <catValu>454005</catValu>
    <labl>Lower Shire</labl>
  </catgry>
  <catgry>
    <catValu>454006</catValu>
    <labl>Middle Shire Valley</labl>
  </catgry>
  <catgry>
    <catValu>454007</catValu>
    <labl>Misuku Hills</labl>
  </catgry>
  <catgry>
    <catValu>454008</catValu>
    <labl>Mzimba Self Sufficient</labl>
  </catgry>
  <catgry>
    <catValu>454009</catValu>
    <labl>Nkhata Bay Cassava</labl>
  </catgry>
  <catgry>
    <catValu>454010</catValu>
    <labl>Northern Karonga</labl>
  </catgry>
  <catgry>
    <catValu>454011</catValu>
    <labl>Northern Lakeshore</labl>
  </catgry>
  <catgry>
    <catValu>454012</catValu>
    <labl>Phirilongwe Hills</labl>
  </catgry>
  <catgry>
    <catValu>454013</catValu>
    <labl>Rift Valley Escarpment</labl>
  </catgry>
  <catgry>
    <catValu>454014</catValu>
    <labl>Shire Highlands</labl>
  </catgry>
  <catgry>
    <catValu>454015</catValu>
    <labl>Southern Lakeshore</labl>
  </catgry>
  <catgry>
    <catValu>454016</catValu>
    <labl>Thyolo Mulunje Tea Estates</labl>
  </catgry>
  <catgry>
    <catValu>454017</catValu>
    <labl>Western Rumphi &amp; Mzimba</labl>
  </catgry>
  <catgry>
    <catValu>454018</catValu>
    <labl>Border Productive Horticulture</labl>
  </catgry>
  <catgry>
    <catValu>454019</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>454020</catValu>
    <labl>National Park</labl>
  </catgry>
  <catgry>
    <catValu>466001</catValu>
    <labl>Nomadism and Trans-Saharan Trade</labl>
  </catgry>
  <catgry>
    <catValu>466002</catValu>
    <labl>Northern Livestock</labl>
  </catgry>
  <catgry>
    <catValu>466003</catValu>
    <labl>Niger Loop Rice and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>466004</catValu>
    <labl>Central Livestock, Millet, and Remittances</labl>
  </catgry>
  <catgry>
    <catValu>466005</catValu>
    <labl>Dogon Plateau Millet and Shallots</labl>
  </catgry>
  <catgry>
    <catValu>466006</catValu>
    <labl>Niger Delta Rice, Cattle, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>466007</catValu>
    <labl>Office du NigerRice and Market Gardening</labl>
  </catgry>
  <catgry>
    <catValu>466008</catValu>
    <labl>Northwestern Sorghum, Remittances, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>466009</catValu>
    <labl>Central Sorghum and Millet</labl>
  </catgry>
  <catgry>
    <catValu>466010</catValu>
    <labl>Southeastern Sorghum, Millet, and Cotton</labl>
  </catgry>
  <catgry>
    <catValu>466011</catValu>
    <labl>Southern Maize, Cotton, and Fruits</labl>
  </catgry>
  <catgry>
    <catValu>466012</catValu>
    <labl>Southwestern Maize, Livestock, and Gold Mining</labl>
  </catgry>
  <catgry>
    <catValu>466013</catValu>
    <labl>Center-eastern Millet and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>466014</catValu>
    <labl>Lakes Recessional Millet and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>466015</catValu>
    <labl>Western Groundnut, Sorghum, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>466016</catValu>
    <labl>Southwestern Gold Mining and Maize</labl>
  </catgry>
  <catgry>
    <catValu>466017</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>478001</catValu>
    <labl>Nomadic pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>478002</catValu>
    <labl>Mine and pastoral</labl>
  </catgry>
  <catgry>
    <catValu>478003</catValu>
    <labl>Mixed pastoral, oases and wadis</labl>
  </catgry>
  <catgry>
    <catValu>478004</catValu>
    <labl>Littoral coastal fishing</labl>
  </catgry>
  <catgry>
    <catValu>478005</catValu>
    <labl>Pastoral and trade</labl>
  </catgry>
  <catgry>
    <catValu>478006</catValu>
    <labl>Transhumant pastoralism</labl>
  </catgry>
  <catgry>
    <catValu>478007</catValu>
    <labl>Agropastoralism</labl>
  </catgry>
  <catgry>
    <catValu>478008</catValu>
    <labl>Senegal valley agriculture</labl>
  </catgry>
  <catgry>
    <catValu>478009</catValu>
    <labl>Rainfed agriculture</labl>
  </catgry>
  <catgry>
    <catValu>508001</catValu>
    <labl>Lakeshore Basic Staples and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508002</catValu>
    <labl>Northern Highland Forest and Tourism</labl>
  </catgry>
  <catgry>
    <catValu>508003</catValu>
    <labl>Northwestern Tobacco and Maize</labl>
  </catgry>
  <catgry>
    <catValu>508004</catValu>
    <labl>Northern Cassava, Maize, and Forest</labl>
  </catgry>
  <catgry>
    <catValu>508005</catValu>
    <labl>Northern Highland with Mixed Cropping</labl>
  </catgry>
  <catgry>
    <catValu>508006</catValu>
    <labl>Northeastern Highland Forest</labl>
  </catgry>
  <catgry>
    <catValu>508007</catValu>
    <labl>Northeastern Cassava, Cashew, and Coconut</labl>
  </catgry>
  <catgry>
    <catValu>508008</catValu>
    <labl>North-Central Coastal Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508009</catValu>
    <labl>Plains with Cassava, Rice, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508010</catValu>
    <labl>Zambezi Valley with Maize and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508011</catValu>
    <labl>Northwestern Cropping and Cross-border Trade</labl>
  </catgry>
  <catgry>
    <catValu>508012</catValu>
    <labl>Coastal Sugarcane and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508013</catValu>
    <labl>Tete Highland Mixed Cropping, Tobbaco, and Cotton</labl>
  </catgry>
  <catgry>
    <catValu>508014</catValu>
    <labl>Cahora Bassa Dam Sesame and Cotton</labl>
  </catgry>
  <catgry>
    <catValu>508015</catValu>
    <labl>Central Semiarid Cotton and Minerals</labl>
  </catgry>
  <catgry>
    <catValu>508016</catValu>
    <labl>Manica Highland Mixed Cropping, Cotton, and Tobacco</labl>
  </catgry>
  <catgry>
    <catValu>508017</catValu>
    <labl>Central Manica and Sofala Mixed Cropping</labl>
  </catgry>
  <catgry>
    <catValu>508018</catValu>
    <labl>Cheringoma and Muanza Maize and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>508019</catValu>
    <labl>Central Semiarid Pineapple and Cashew</labl>
  </catgry>
  <catgry>
    <catValu>508020</catValu>
    <labl>Southern Coastal Cassava, Coconut, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508021</catValu>
    <labl>Southern Intermediate Mixed Cropping</labl>
  </catgry>
  <catgry>
    <catValu>508022</catValu>
    <labl>Southern Semiarid Cereals and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>508023</catValu>
    <labl>Southeastern Rice</labl>
  </catgry>
  <catgry>
    <catValu>508024</catValu>
    <labl>Limpopo and Elephant Rivers Mixed Cropping</labl>
  </catgry>
  <catgry>
    <catValu>508025</catValu>
    <labl>Southern Coastal Rishing, Manioc, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>508026</catValu>
    <labl>Southern Highland Cattle and Mixed Cropping</labl>
  </catgry>
  <catgry>
    <catValu>558000</catValu>
    <labl>Urban Area</labl>
  </catgry>
  <catgry>
    <catValu>558001</catValu>
    <labl>Pacific Coast Export Fishing, Aquaculture, Tourism and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>558002</catValu>
    <labl>Pacific Agro-Industrial and Transitional Agriculture Zone</labl>
  </catgry>
  <catgry>
    <catValu>558003</catValu>
    <labl>Northwest Subsistence Agriculture, Livestock and Alternate Income Activities Zone</labl>
  </catgry>
  <catgry>
    <catValu>558004</catValu>
    <labl>EstelÃ­ Traditional and Industrial Tobacco Zone</labl>
  </catgry>
  <catgry>
    <catValu>558005</catValu>
    <labl>Managua Peri-urban Free-Trade, Agro-industry and Services Zone</labl>
  </catgry>
  <catgry>
    <catValu>558006</catValu>
    <labl>East-Central Vegetables, Informal Trade, Industry and Tourism ZoneÂ</labl>
  </catgry>
  <catgry>
    <catValu>558007</catValu>
    <labl>Southern Pacific, Agriculture and High Migration Zone</labl>
  </catgry>
  <catgry>
    <catValu>558008</catValu>
    <labl>Central Cattle and Agricultural Frontier Zone</labl>
  </catgry>
  <catgry>
    <catValu>558009</catValu>
    <labl>Agriculture and Livestock with High Migration to Costa Rica Zone</labl>
  </catgry>
  <catgry>
    <catValu>558010</catValu>
    <labl>Caribbean Humid Tropical Agriculture Zone</labl>
  </catgry>
  <catgry>
    <catValu>558011</catValu>
    <labl>Northern Atlantic Agricultural Frontier and Mining Zone</labl>
  </catgry>
  <catgry>
    <catValu>558012</catValu>
    <labl>Coffee with Commercial Agriculture and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>558013</catValu>
    <labl>Northern Market-bound Basic Grains, Livestock and Coffee Zone</labl>
  </catgry>
  <catgry>
    <catValu>558014</catValu>
    <labl>Communal Forestry Zone</labl>
  </catgry>
  <catgry>
    <catValu>558015</catValu>
    <labl>Coco River Traditional Agriculture Zone</labl>
  </catgry>
  <catgry>
    <catValu>558016</catValu>
    <labl>Caribbean Coast Traditional Fishing Zone</labl>
  </catgry>
  <catgry>
    <catValu>558025</catValu>
    <labl>National Forest Reserve</labl>
  </catgry>
  <catgry>
    <catValu>562000</catValu>
    <labl>Not Zoned (Desert)</labl>
  </catgry>
  <catgry>
    <catValu>562001</catValu>
    <labl>North-east Oases: Dates, Salt and Trade</labl>
  </catgry>
  <catgry>
    <catValu>562002</catValu>
    <labl>AÃ¯r Massif Irrigated Gardening</labl>
  </catgry>
  <catgry>
    <catValu>562003</catValu>
    <labl>Transhumant and Nomad Pastoralism</labl>
  </catgry>
  <catgry>
    <catValu>562004</catValu>
    <labl>Agropastoral Belt</labl>
  </catgry>
  <catgry>
    <catValu>562005</catValu>
    <labl>Rainfed Millet and Sorghum Belt</labl>
  </catgry>
  <catgry>
    <catValu>562006</catValu>
    <labl>Cropping and Herding with High Work Outmigration</labl>
  </catgry>
  <catgry>
    <catValu>562007</catValu>
    <labl>Southern Irrigated Cash Crops</labl>
  </catgry>
  <catgry>
    <catValu>562008</catValu>
    <labl>Southwestern Cereals with Fan-Palm Products</labl>
  </catgry>
  <catgry>
    <catValu>562009</catValu>
    <labl>Niger River Irrigated Rice</labl>
  </catgry>
  <catgry>
    <catValu>562010</catValu>
    <labl>Dallols - Seasonal Water-Course Irrigated Crops</labl>
  </catgry>
  <catgry>
    <catValu>562011</catValu>
    <labl>Southeastern Natron Salt and Small Basin Irrigated Dates</labl>
  </catgry>
  <catgry>
    <catValu>562012</catValu>
    <labl>Komadougou Irrigated Peppers</labl>
  </catgry>
  <catgry>
    <catValu>562013</catValu>
    <labl>Lake Chad Flood-Retreat Cultivation with Fishing</labl>
  </catgry>
  <catgry>
    <catValu>562014</catValu>
    <labl>Transhumant and Nomad Pastoralism-Camels</labl>
  </catgry>
  <catgry>
    <catValu>566001</catValu>
    <labl>Coastal Fishing</labl>
  </catgry>
  <catgry>
    <catValu>566002</catValu>
    <labl>Southern Cocoa, Palm Oil, and Kola nut</labl>
  </catgry>
  <catgry>
    <catValu>566003</catValu>
    <labl>South-Central Yam, Cassava, and Banana</labl>
  </catgry>
  <catgry>
    <catValu>566004</catValu>
    <labl>Southeast Rice, Salt, and Granite</labl>
  </catgry>
  <catgry>
    <catValu>566005</catValu>
    <labl>Niger and Benue River Floodplain Rice and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>566006</catValu>
    <labl>Central Plain Yam and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>566007</catValu>
    <labl>Mambilla Plateau Cattle, Cocoa, and Tea</labl>
  </catgry>
  <catgry>
    <catValu>566008</catValu>
    <labl>Central Highland Maize and Soybean</labl>
  </catgry>
  <catgry>
    <catValu>566009</catValu>
    <labl>Northeastern Highland Maize, Cocoyam, Potatoes, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>566010</catValu>
    <labl>North-Central Maize, Sorghum, and Cotton</labl>
  </catgry>
  <catgry>
    <catValu>566011</catValu>
    <labl>Northern Floodplains Irrigated Rice, Wheat, and Vegetables</labl>
  </catgry>
  <catgry>
    <catValu>566012</catValu>
    <labl>Northeast Millet, Cowpea, and Sesame</labl>
  </catgry>
  <catgry>
    <catValu>566013</catValu>
    <labl>Sahel Mixed Cereals and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>686000</catValu>
    <labl>Urban Area - Dakar</labl>
  </catgry>
  <catgry>
    <catValu>686001</catValu>
    <labl>The Niayes Gardening and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>686002</catValu>
    <labl>Delta Rice, Horticulture, and Agricultural Labor</labl>
  </catgry>
  <catgry>
    <catValu>686003</catValu>
    <labl>Valley Rice and Remittances</labl>
  </catgry>
  <catgry>
    <catValu>686004</catValu>
    <labl>Dieri Millet and Remittances</labl>
  </catgry>
  <catgry>
    <catValu>686005</catValu>
    <labl>Rainfed Cowpea and Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>686006</catValu>
    <labl>Sylvopatoral Livestock and Gathering</labl>
  </catgry>
  <catgry>
    <catValu>686007</catValu>
    <labl>Small Coast Fishing and Tourism</labl>
  </catgry>
  <catgry>
    <catValu>686008</catValu>
    <labl>Rainfed Groundnut and Millet</labl>
  </catgry>
  <catgry>
    <catValu>686009</catValu>
    <labl>Agropastoral Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>686010</catValu>
    <labl>Rainfed Groundnut and Cereals</labl>
  </catgry>
  <catgry>
    <catValu>686011</catValu>
    <labl>Forest and Rainfed Rice</labl>
  </catgry>
  <catgry>
    <catValu>686012</catValu>
    <labl>Forest, Rainfed Rice, and Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>686013</catValu>
    <labl>Rainfed Maize, Cotton, and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>686014</catValu>
    <labl>Rainfed Maize and Lumber</labl>
  </catgry>
  <catgry>
    <catValu>686015</catValu>
    <labl>Rainfed Maize and Artisanal Gold Mining</labl>
  </catgry>
  <catgry>
    <catValu>686016</catValu>
    <labl>National Park</labl>
  </catgry>
  <catgry>
    <catValu>694000</catValu>
    <labl>Urban Area - Not Zoned</labl>
  </catgry>
  <catgry>
    <catValu>694001</catValu>
    <labl>Tonkolli Food Crops, Gold and Iron Ore</labl>
  </catgry>
  <catgry>
    <catValu>694002</catValu>
    <labl>Bombali Food Crops, Peppers, Tobacco and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>694003</catValu>
    <labl>Western Rice, Root Crops, Cereals and Trade Belt</labl>
  </catgry>
  <catgry>
    <catValu>694004</catValu>
    <labl>Coastal Food Crops and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>694005</catValu>
    <labl>Kailahun-Kenema-Pujehun Cash Crops, Food Crops and Trade</labl>
  </catgry>
  <catgry>
    <catValu>694006</catValu>
    <labl>Kono-Kenema-Bo Rice, Tree Crops and Timbers</labl>
  </catgry>
  <catgry>
    <catValu>694007</catValu>
    <labl>Koinadugu Food Crops, Livestock and Trade</labl>
  </catgry>
  <catgry>
    <catValu>694008</catValu>
    <labl>Follosoba Dembellia and Wara Wara Yagala Vegetables</labl>
  </catgry>
  <catgry>
    <catValu>694009</catValu>
    <labl>Freetown Peri-Urban</labl>
  </catgry>
  <catgry>
    <catValu>694010</catValu>
    <labl>Rice Bowl Areas</labl>
  </catgry>
  <catgry>
    <catValu>706001</catValu>
    <labl>Guban Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>706002</catValu>
    <labl>West Golis Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>706003</catValu>
    <labl>Northwestern Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>706004</catValu>
    <labl>Togdheer Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>706005</catValu>
    <labl>Hawd Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>706006</catValu>
    <labl>Northern Inland Pastoral â€“ Goats and Sheep</labl>
  </catgry>
  <catgry>
    <catValu>706007</catValu>
    <labl>East Golis â€“ Frankincense, Goats, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>706008</catValu>
    <labl>Coastal Deeh Pastoral and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>706009</catValu>
    <labl>Addun Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>706010</catValu>
    <labl>Cowpea Belt Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>706011</catValu>
    <labl>Southern Inland Pastoral â€“ Camels, Goats, Sheep, and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>706012</catValu>
    <labl>Southern Agropastoral â€“ Goats, Camels, and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>706013</catValu>
    <labl>Riverine Pump Irrigation</labl>
  </catgry>
  <catgry>
    <catValu>706014</catValu>
    <labl>Riverine Gravity Irrigation</labl>
  </catgry>
  <catgry>
    <catValu>706015</catValu>
    <labl>Sorghum High Potential Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>706016</catValu>
    <labl>Bay Bakool Low Potential Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>706017</catValu>
    <labl>Southern Rainfed Agropastoral â€“ Maize, Cattle, and Goats</labl>
  </catgry>
  <catgry>
    <catValu>706018</catValu>
    <labl>Juba Pastoral â€“  Cattle and Goats</labl>
  </catgry>
  <catgry>
    <catValu>706019</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>716000</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>716001</catValu>
    <labl>Agrofisheries</labl>
  </catgry>
  <catgry>
    <catValu>716002</catValu>
    <labl>Beitbridge South Western Lowveld Communal</labl>
  </catgry>
  <catgry>
    <catValu>716003</catValu>
    <labl>Bikita-Zaka Highlands Communal</labl>
  </catgry>
  <catgry>
    <catValu>716004</catValu>
    <labl>Central and Northern Semi Intensive Farming</labl>
  </catgry>
  <catgry>
    <catValu>716005</catValu>
    <labl>Cereal and High Cotton Communal</labl>
  </catgry>
  <catgry>
    <catValu>716006</catValu>
    <labl>Cereal and Low Cotton Communal</labl>
  </catgry>
  <catgry>
    <catValu>716007</catValu>
    <labl>Eastern Highlands Commercial Farming</labl>
  </catgry>
  <catgry>
    <catValu>716008</catValu>
    <labl>Eastern Highlands Prime Communal</labl>
  </catgry>
  <catgry>
    <catValu>716009</catValu>
    <labl>Eastern Kalahari Sandveld Communal</labl>
  </catgry>
  <catgry>
    <catValu>716010</catValu>
    <labl>Greater Mudzi Communal</labl>
  </catgry>
  <catgry>
    <catValu>716011</catValu>
    <labl>Highveld Prime Cereal and Cash Crop Resettlement</labl>
  </catgry>
  <catgry>
    <catValu>716012</catValu>
    <labl>Highveld Prime Communal</labl>
  </catgry>
  <catgry>
    <catValu>716013</catValu>
    <labl>Irrigated Commercial Sugar and Fruit Farming</labl>
  </catgry>
  <catgry>
    <catValu>716014</catValu>
    <labl>Kariba Valley and Kariangwe-Jambezi Communal</labl>
  </catgry>
  <catgry>
    <catValu>716015</catValu>
    <labl>Livestock and Cereal  Farming Communal in Forests</labl>
  </catgry>
  <catgry>
    <catValu>716016</catValu>
    <labl>Lusulu, Lupane and Southern Gokwe Mixed Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>716017</catValu>
    <labl>Masvingo Manicaland Middleveld Smallholder</labl>
  </catgry>
  <catgry>
    <catValu>716018</catValu>
    <labl>Matabeleland Middleveld Communal</labl>
  </catgry>
  <catgry>
    <catValu>716019</catValu>
    <labl>Mutorashanga Informal mining</labl>
  </catgry>
  <catgry>
    <catValu>716020</catValu>
    <labl>Mwenezi, Chivi and South Midland Communal</labl>
  </catgry>
  <catgry>
    <catValu>716021</catValu>
    <labl>Northern Cattle and Cereal Farming</labl>
  </catgry>
  <catgry>
    <catValu>716022</catValu>
    <labl>Northern Zambezi Valley Communal</labl>
  </catgry>
  <catgry>
    <catValu>716023</catValu>
    <labl>Save River Valley and Ndowoyo Communal</labl>
  </catgry>
  <catgry>
    <catValu>716024</catValu>
    <labl>Southern Cattle and Cereal Farming</labl>
  </catgry>
  <catgry>
    <catValu>716025</catValu>
    <labl>Western Kalahari Sandveld Communal</labl>
  </catgry>
  <catgry>
    <catValu>716026</catValu>
    <labl>National Park</labl>
  </catgry>
  <catgry>
    <catValu>728001</catValu>
    <labl>Equatorial maize and cassava</labl>
  </catgry>
  <catgry>
    <catValu>728002</catValu>
    <labl>Ironstone Plateau agro-pastoral</labl>
  </catgry>
  <catgry>
    <catValu>728003</catValu>
    <labl>Highland forest and sorghum</labl>
  </catgry>
  <catgry>
    <catValu>728004</catValu>
    <labl>Western groundnuts, sesame and sorghum</labl>
  </catgry>
  <catgry>
    <catValu>728005</catValu>
    <labl>Eastern semi-arid pastoral</labl>
  </catgry>
  <catgry>
    <catValu>728006</catValu>
    <labl>Eastern plains sorghum and cattle</labl>
  </catgry>
  <catgry>
    <catValu>728007</catValu>
    <labl>Greater Bahr el Ghazal sorghum and cattle</labl>
  </catgry>
  <catgry>
    <catValu>728008</catValu>
    <labl>Nile basin fishing and agro-pastoral</labl>
  </catgry>
  <catgry>
    <catValu>728009</catValu>
    <labl>Oil resources, maize and cattle</labl>
  </catgry>
  <catgry>
    <catValu>728010</catValu>
    <labl>Northeastern maize and cattle</labl>
  </catgry>
  <catgry>
    <catValu>728011</catValu>
    <labl>Northern sorhgum and livestock</labl>
  </catgry>
  <catgry>
    <catValu>729000</catValu>
    <labl>Not Zoned</labl>
  </catgry>
  <catgry>
    <catValu>729001</catValu>
    <labl>Northern Riverine Small-scale Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>729002</catValu>
    <labl>Southern Riverine Small/Medium-scale Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>729003</catValu>
    <labl>Eastern Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>729004</catValu>
    <labl>West and Central Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>729005</catValu>
    <labl>Eastern Khors Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>729006</catValu>
    <labl>Coastal Fishing</labl>
  </catgry>
  <catgry>
    <catValu>729007</catValu>
    <labl>Eastern Agropastoral Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>729008</catValu>
    <labl>Flood-retreat Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>729009</catValu>
    <labl>Central Irrigated Schemes</labl>
  </catgry>
  <catgry>
    <catValu>729010</catValu>
    <labl>Southeast Rainfed Semi-mechanized Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>729011</catValu>
    <labl>Rainfed Sorghum Belt</labl>
  </catgry>
  <catgry>
    <catValu>729012</catValu>
    <labl>Western Agropastoral Millet and Groundnuts</labl>
  </catgry>
  <catgry>
    <catValu>729013</catValu>
    <labl>Western Agropastoral Millet</labl>
  </catgry>
  <catgry>
    <catValu>729014</catValu>
    <labl>Central Rainfed Millet and Sesame</labl>
  </catgry>
  <catgry>
    <catValu>729015</catValu>
    <labl>Jabel Marra Mixed Highland Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>729016</catValu>
    <labl>Western Wadi Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>729017</catValu>
    <labl>North Darfur Tobacco</labl>
  </catgry>
  <catgry>
    <catValu>729018</catValu>
    <labl>North Kordofan Gum Arabic Belt</labl>
  </catgry>
  <catgry>
    <catValu>729019</catValu>
    <labl>Cattle Dominant Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>800001</catValu>
    <labl>North Eastern Karamoja Highland Apiculture and Potato Zone</labl>
  </catgry>
  <catgry>
    <catValu>800002</catValu>
    <labl>Western Karamoja Mixed Crop Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>800003</catValu>
    <labl>South Eastern Karamoja Cattle Maize Zone</labl>
  </catgry>
  <catgry>
    <catValu>800004</catValu>
    <labl>Karamoja Mountain and Foot Hills Maize and Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800005</catValu>
    <labl>Central Karamoja Sorghum and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>800006</catValu>
    <labl>NE Sorghum Simsim Maize Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>800007</catValu>
    <labl>North Kitgum Gulu Amuru West Nile Simsim Sorghum Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>800008</catValu>
    <labl>Palabek Tobacco Simsim Sorghum and Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800009</catValu>
    <labl>South Kitgum Pader Abim Simsim Groundnuts Sorghum Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800010</catValu>
    <labl>Albertine West Nile Lowland Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800011</catValu>
    <labl>Kafu Muzizi Maize Upland Rice Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800012</catValu>
    <labl>Albertine Escarpment Cotton Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800013</catValu>
    <labl>Bwijanga Pakanyi SugarcaNE Maize Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800014</catValu>
    <labl>Karuma Masindi Oyam Tobacco Maize Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800015</catValu>
    <labl>West Nile Tobacco Cassava Sorghum Zone</labl>
  </catgry>
  <catgry>
    <catValu>800016</catValu>
    <labl>Rwenzori Mt.Elgon West Nile Arabica Coffee Banana Zone</labl>
  </catgry>
  <catgry>
    <catValu>800017</catValu>
    <labl>Amuru Gulu Rice Groundnut Sorghum Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>800018</catValu>
    <labl>Southwest Gulu Beans Groundnuts Shoat Cassava</labl>
  </catgry>
  <catgry>
    <catValu>800019</catValu>
    <labl>Mid North Simsim Maize Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800020</catValu>
    <labl>Eastern Lowland Maize Beans Rice Zone</labl>
  </catgry>
  <catgry>
    <catValu>800021</catValu>
    <labl>Eastern Central Lowland Cassava Sorghum and Groundnut Zone</labl>
  </catgry>
  <catgry>
    <catValu>800022</catValu>
    <labl>Mt Elgon Highland Irish Potato Cereal Zone</labl>
  </catgry>
  <catgry>
    <catValu>800023</catValu>
    <labl>Central and Southern Cattle Cassava Maize Zone</labl>
  </catgry>
  <catgry>
    <catValu>800024</catValu>
    <labl>Lakeshore and Riverbank Fishing Zone</labl>
  </catgry>
  <catgry>
    <catValu>800025</catValu>
    <labl>Southeastern Maize Beans Robusta Coffee Zone</labl>
  </catgry>
  <catgry>
    <catValu>800026</catValu>
    <labl>Midwest Central and Lake Victoria Crescent Robusta Coffee Banana Maize and Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800027</catValu>
    <labl>Rwenzori Midland Banana Fruit Vegetable Dairy Zone</labl>
  </catgry>
  <catgry>
    <catValu>800028</catValu>
    <labl>Kazinga Channel Cassava Maize Fruit Vegetable Cotton Zone</labl>
  </catgry>
  <catgry>
    <catValu>800029</catValu>
    <labl>Rwenzori Lowland Maize Vegetable Banana Zone</labl>
  </catgry>
  <catgry>
    <catValu>800030</catValu>
    <labl>Southeastern Lowland Cassava Cereal Zone</labl>
  </catgry>
  <catgry>
    <catValu>800031</catValu>
    <labl>Eastern Lowland Rice Root Crop Zone</labl>
  </catgry>
  <catgry>
    <catValu>800032</catValu>
    <labl>Southeastern Lowland Cassava Maize Sweet Potato Zone</labl>
  </catgry>
  <catgry>
    <catValu>800033</catValu>
    <labl>East Central Plantation Outgrower Zone</labl>
  </catgry>
  <catgry>
    <catValu>800034</catValu>
    <labl>Kayunga Masaka Pineapple Banana Robusta Coffee and Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800035</catValu>
    <labl>SW Highland Irish Potato Sorghum Vegetable Zone</labl>
  </catgry>
  <catgry>
    <catValu>800036</catValu>
    <labl>Kalangala Fishing Oil Palm Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800037</catValu>
    <labl>Western Rift Valley Cocoa Coffee Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800038</catValu>
    <labl>Rwenzori Midland Tea and Dairy Zone</labl>
  </catgry>
  <catgry>
    <catValu>800039</catValu>
    <labl>Southwestern Midland Banana Robusta Coffee Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800040</catValu>
    <labl>SW Rift Valley Tobacco Bean Millet Zone</labl>
  </catgry>
  <catgry>
    <catValu>800041</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>800042</catValu>
    <labl>National Park</labl>
  </catgry>
  <catgry>
    <catValu>834001</catValu>
    <labl>Southern Maasai Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>834002</catValu>
    <labl>River Pangani Paddy and Maize Basin</labl>
  </catgry>
  <catgry>
    <catValu>834003</catValu>
    <labl>Tanga Maize and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>834004</catValu>
    <labl>Tanga Maize and Sisal Employment</labl>
  </catgry>
  <catgry>
    <catValu>834005</catValu>
    <labl>Usambara-Pare Highland</labl>
  </catgry>
  <catgry>
    <catValu>834006</catValu>
    <labl>Tanga Maize, Orange, and Jackfruit Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834007</catValu>
    <labl>Tanga-Pwani Coastal Maize, Paddy Belt</labl>
  </catgry>
  <catgry>
    <catValu>834008</catValu>
    <labl>Handeni-Bagamoyo Maize, Cassava, and Fruit Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834009</catValu>
    <labl>Loliondo Midland Maize, Beans, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834010</catValu>
    <labl>Lower Rombo Maize, Beans, and Finger Millet</labl>
  </catgry>
  <catgry>
    <catValu>834011</catValu>
    <labl>Kilimanjaro-Meru Maize, Coffee, and Plantains</labl>
  </catgry>
  <catgry>
    <catValu>834012</catValu>
    <labl>Karatu Wheat, Maize, and Coffee</labl>
  </catgry>
  <catgry>
    <catValu>834013</catValu>
    <labl>Lower Arusha-Simanjiro Maize</labl>
  </catgry>
  <catgry>
    <catValu>834014</catValu>
    <labl>Northern Maasai Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>834015</catValu>
    <labl>Nowu Maize, Beans, and Onions Highlands</labl>
  </catgry>
  <catgry>
    <catValu>834016</catValu>
    <labl>Babati Kwaraa Maize, Beans, Sunflower, and Coffee</labl>
  </catgry>
  <catgry>
    <catValu>834017</catValu>
    <labl>Kiteto-Kongwa-Mpwapwa-Mvomero Maize, Sorghum, and Pigeon Pea</labl>
  </catgry>
  <catgry>
    <catValu>834018</catValu>
    <labl>Mbulu-Karatu Midlands Maize, Beans, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834019</catValu>
    <labl>Hadzabe Hunter-Gatherer Wild Honey, Wild Roots, and Wild Fruit</labl>
  </catgry>
  <catgry>
    <catValu>834020</catValu>
    <labl>Wembere Paddy, Sorghum, Maize, Sunflower, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>834021</catValu>
    <labl>Bahi-Sanza Irrigated Rice, Maize, Bulrush Millet, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834022</catValu>
    <labl>Iramba Midland Onion, Maize, and Sunflower</labl>
  </catgry>
  <catgry>
    <catValu>834023</catValu>
    <labl>Manyoni Upland Maize, Sunflower, Sesame, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834024</catValu>
    <labl>Tabora-Singida Midland Maize, Sunflower, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834025</catValu>
    <labl>Singida-Manyara Maize, Sorghum, Beans, and Sunflower</labl>
  </catgry>
  <catgry>
    <catValu>834026</catValu>
    <labl>East and South Lakeshore Fishing, Cassava, and Upland Rice</labl>
  </catgry>
  <catgry>
    <catValu>834027</catValu>
    <labl>Western Lakeshore Coffee, Fishing, and Banana</labl>
  </catgry>
  <catgry>
    <catValu>834028</catValu>
    <labl>Kagera-Kigoma-Mara Banana, Coffee, and Beans</labl>
  </catgry>
  <catgry>
    <catValu>834029</catValu>
    <labl>Mwanza-Shinyanga-Mara Cotton, Livestock, Cassava, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834030</catValu>
    <labl>Kagera Lowlands Beans, Maize, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834031</catValu>
    <labl>Shinyanga-Tabora Cotton, Upland Rice, Sweet Potato, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834032</catValu>
    <labl>Sengerema-Geita Highland Cassava, Rice, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834033</catValu>
    <labl>Kagera-Kigoma Beans, Cassava, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834034</catValu>
    <labl>Kahama-Tabora Midland Tobacco, Maize, Rice, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834035</catValu>
    <labl>Kishapu-Meatu-Maswa Sorghum, Cotton, Sweet Potato, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834036</catValu>
    <labl>Urambo-Nzega Lowland Groundnuts, Cotton, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834037</catValu>
    <labl>Kigoma Lowland Palm Oil, Cassava, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834038</catValu>
    <labl>Urambo Agropastoral Maize and Sweet Potato</labl>
  </catgry>
  <catgry>
    <catValu>834039</catValu>
    <labl>Victoria Islands Fishing, Cassava, Sweet Potato, and Paddy</labl>
  </catgry>
  <catgry>
    <catValu>834040</catValu>
    <labl>Ruaha Riverine Maize, Onion, Tomato, and Paddy Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834041</catValu>
    <labl>Chalinze-Tunuguo Maize, Cattle, and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>834042</catValu>
    <labl>Kilombero-Mtibwa Paddy, Maize, and Sugar Employment</labl>
  </catgry>
  <catgry>
    <catValu>834043</catValu>
    <labl>Kilombero-Ulanga-Lusewa Paddy, Maize, and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>834044</catValu>
    <labl>Kilosa-Mvomero Maize and Paddy Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834045</catValu>
    <labl>Matombo-Kuyuni Spice, Maize, and Banana</labl>
  </catgry>
  <catgry>
    <catValu>834046</catValu>
    <labl>Bagamoyo-Kibaha Midland Cassava, Cashew, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834047</catValu>
    <labl>Morogoro Highland Maize and Vegetable</labl>
  </catgry>
  <catgry>
    <catValu>834048</catValu>
    <labl>Maskat-Kimbet Maize and Beans Highlands</labl>
  </catgry>
  <catgry>
    <catValu>834049</catValu>
    <labl>Newala-Masasi Plateau Sesame, Cassava, Cashew, and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>834050</catValu>
    <labl>Mtwara-Lindi Coastal Rice and Cashew</labl>
  </catgry>
  <catgry>
    <catValu>834051</catValu>
    <labl>Matumbi Midland Upland Rice, Oranges, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834052</catValu>
    <labl>Lindi-Nachingwea Lowland Cassava and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834053</catValu>
    <labl>Southeastern Plateau Cassava, Cashew, and Bambara Nuts</labl>
  </catgry>
  <catgry>
    <catValu>834054</catValu>
    <labl>Mtwara-Lindi-Pwani Riverine</labl>
  </catgry>
  <catgry>
    <catValu>834055</catValu>
    <labl>Singida-Dodoma Sorghum, B/Millet, Sunflower, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834056</catValu>
    <labl>Dodoma Lowland Sunflower, Grape, and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>834057</catValu>
    <labl>Mpanda Maize, Paddy, Sunflower, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834058</catValu>
    <labl>Lake Tanganyika-Rukwa Fishing, Maize, and Sunflower</labl>
  </catgry>
  <catgry>
    <catValu>834059</catValu>
    <labl>Kyela Paddy, Cacao, and Palm Oil Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834060</catValu>
    <labl>Rungwe Banana, Coffee, Tea, and Livestock Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834061</catValu>
    <labl>Mporoto-Umalila Irish Potato, Maize, Wheat, and Pyrethrum Highlands</labl>
  </catgry>
  <catgry>
    <catValu>834062</catValu>
    <labl>Mbozi-Mbeya Coffee, Maize, Beans, and Livestock Highlands</labl>
  </catgry>
  <catgry>
    <catValu>834063</catValu>
    <labl>Usangu Paddy, Maize, Sorghum, and Livestock Wetlands</labl>
  </catgry>
  <catgry>
    <catValu>834064</catValu>
    <labl>Kamsamba Paddy, Sorghum, and Livestock Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834065</catValu>
    <labl>Chunya Maize, Sunflower, Cassava, and Groundnut Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834066</catValu>
    <labl>West Chunya Maize, Bulrush Millet, and Sesame Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834067</catValu>
    <labl>Lake Nyasa Shore Cassava Fishing and Paddy</labl>
  </catgry>
  <catgry>
    <catValu>834068</catValu>
    <labl>Namtumbo Tobacco, Maize, Paddy, and Cassava Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834069</catValu>
    <labl>Matengo Coffee, Maize, Beans, and Piggery Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834070</catValu>
    <labl>Songea-Namtumbo-Ludewa-Mibinga Maize, Beans, and Cassava Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834071</catValu>
    <labl>Njombe-Mufindi Maize, Timber, Tea, Pyrethrum, and Employment</labl>
  </catgry>
  <catgry>
    <catValu>834072</catValu>
    <labl>Mtera Dam Fishing, Sorghum, and Sesame</labl>
  </catgry>
  <catgry>
    <catValu>834073</catValu>
    <labl>Makete Wheat, Irish Potato, Timber, and Employment Highlands</labl>
  </catgry>
  <catgry>
    <catValu>834074</catValu>
    <labl>Njombe-Mufindi Maize, Irish Potato, and Bean</labl>
  </catgry>
  <catgry>
    <catValu>834075</catValu>
    <labl>Iringa-Mbarali Maize, Sunflower, Beans, and Groundnut Belt</labl>
  </catgry>
  <catgry>
    <catValu>834076</catValu>
    <labl>Tunduru-Nachingwea-Nanyumbu Cashew, Cassava, and Paddy Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834077</catValu>
    <labl>Mpanda-Chunya-Sikonge Maize and Tobacco Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834078</catValu>
    <labl>Sumbawanga-Mbozi-Mpanda Maize, Sunflower, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834098</catValu>
    <labl>Water</labl>
  </catgry>
  <catgry>
    <catValu>834099</catValu>
    <labl>Not Zoned</labl>
  </catgry>
  <catgry>
    <catValu>854001</catValu>
    <labl>South tubers and cereals</labl>
  </catgry>
  <catgry>
    <catValu>854002</catValu>
    <labl>Southwest fruits, cotton, and cereals</labl>
  </catgry>
  <catgry>
    <catValu>854003</catValu>
    <labl>West cotton and cereals</labl>
  </catgry>
  <catgry>
    <catValu>854004</catValu>
    <labl>West cereals and remittances</labl>
  </catgry>
  <catgry>
    <catValu>854005</catValu>
    <labl>Central plateau cereals and market gardening</labl>
  </catgry>
  <catgry>
    <catValu>854006</catValu>
    <labl>Ouagadougou peri-urban</labl>
  </catgry>
  <catgry>
    <catValu>854007</catValu>
    <labl>North and east livestock and cereals</labl>
  </catgry>
  <catgry>
    <catValu>854008</catValu>
    <labl>North transhumant pastoralism and millet</labl>
  </catgry>
  <catgry>
    <catValu>854009</catValu>
    <labl>Southeast cereals, livestock, forestry and faune</labl>
  </catgry>
  <catgry>
    <catValu>887001</catValu>
    <labl>Amran Rainfed Sorghum, Barley, Qat, and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887002</catValu>
    <labl>Arabian Sea Coastal Irrigated Tropical Fruit, Fodder and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887003</catValu>
    <labl>Central and Eastern Plateau Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>887004</catValu>
    <labl>Central and Eastern Wadi Palm, Wheat, Vegetable and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887005</catValu>
    <labl>Central Highland Potato, Vegetable and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887006</catValu>
    <labl>Eastern Plateau Sorghum, Millet and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887007</catValu>
    <labl>Greater Yemen Coastal and Island Fishing Zone</labl>
  </catgry>
  <catgry>
    <catValu>887008</catValu>
    <labl>Northern and Eastern Desert Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>887009</catValu>
    <labl>Sa'adah Irrigated Wheat, Fruit, Vegetable, Qat, and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887010</catValu>
    <labl>Western and Central Highland Qat, Grain, Fodder and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887011</catValu>
    <labl>Western and Central Wadi Sorghum, Millet, Vegetable, Fruit and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887012</catValu>
    <labl>Western Central Highland Coffee, Qat, Sorghum and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887013</catValu>
    <labl>Western Central Highland Wheat, Sorghum, Qat, and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887014</catValu>
    <labl>Western Coastal Plain Sorghum, Millet, and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887015</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>894001</catValu>
    <labl>Zambezi Plain Rice, Livestock, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>894002</catValu>
    <labl>Southwestern Cereal, Livestock, and Timber</labl>
  </catgry>
  <catgry>
    <catValu>894003</catValu>
    <labl>Western and Northwestern Cassava, Maize, and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>894004</catValu>
    <labl>Kaoma Smallholder Food Crop and Tobacco</labl>
  </catgry>
  <catgry>
    <catValu>894005</catValu>
    <labl>Northwestern Timber and Honey</labl>
  </catgry>
  <catgry>
    <catValu>894006</catValu>
    <labl>Solwezi and Kasempa Mining Labor and Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>894007</catValu>
    <labl>Kafue Plain Maize, Cattle, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>894008</catValu>
    <labl>Commercial Rail Line Maize, Livestock, and Cotton</labl>
  </catgry>
  <catgry>
    <catValu>894009</catValu>
    <labl>Southern Plateau Cattle, Maize, and Tobacco</labl>
  </catgry>
  <catgry>
    <catValu>894010</catValu>
    <labl>Zambezi Valley Agro-fisheries</labl>
  </catgry>
  <catgry>
    <catValu>894011</catValu>
    <labl>Mkushi, Chisamba, and Mpongwe Commercial Farming Block</labl>
  </catgry>
  <catgry>
    <catValu>894012</catValu>
    <labl>Central Copperbelt Maize, Cassava, and Sweet Potato</labl>
  </catgry>
  <catgry>
    <catValu>894013</catValu>
    <labl>Copperbelt Labor and Trade</labl>
  </catgry>
  <catgry>
    <catValu>894014</catValu>
    <labl>Mkushi and Serenje Maize, Sweet Potato, and Horticulture</labl>
  </catgry>
  <catgry>
    <catValu>894015</catValu>
    <labl>Luangwa Valley Informal Mining, Fishing, and Hunting</labl>
  </catgry>
  <catgry>
    <catValu>894016</catValu>
    <labl>Eastern Plateau Maize, Cotton, and Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>894017</catValu>
    <labl>Eastern Plateau Maize, Groundnut, Tobacco, and Trade</labl>
  </catgry>
  <catgry>
    <catValu>894018</catValu>
    <labl>Luangwa Valley Subsistence Farming, Hunting, and Tourism</labl>
  </catgry>
  <catgry>
    <catValu>894019</catValu>
    <labl>Northern Border Maize, Beans, Livestock, and Trade</labl>
  </catgry>
  <catgry>
    <catValu>894020</catValu>
    <labl>Muchinga, Northern, and Luapula Cassava, Groundnut, and Mill</labl>
  </catgry>
  <catgry>
    <catValu>894021</catValu>
    <labl>Mweru, Bangweulu, and Tanganyika Fisheries</labl>
  </catgry>
  <txt>LIVELIHOOD reports the predominant livelihood zone within a 5-kilometer circular buffer around each DHS cluster location. Livelihood zones can be used as an indicator for sources of food and/or income and as a measure of people's vulnerability to hazards, such as flood, drought, food crisis, market disruption, or conflicts. 

Information on livelihood zones are available for selected countries of Africa, Afghanistan, El Salvador, Haiti, Honduras, and Nicaragua. Livelihood zones are country-specific; therefore, codes and labels for LIVELIHOOD vary across countries. 

The original LIVELIHOOD zone codes from the Famine Early Warning Systems Network (FEWS NET [URL omitted from DDI.]) begin with the 2-character alphabetic ISO code followed by the livelihood zone code. In place of the 2-character alphabetic ISO code used in the source data, IPUMS-DHS substitutes the 3-digit ISO country code (e.g., 231 for Ethiopia), followed by the 3-digit numeric livelihood zone code (e.g., 177 for West Central Teff).

LIVELIHOOD, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CROPLAND" name="W_CROPLAND" files="W" intrvl="discrete">
  <labl>Proportion of land area used for agriculture (circa 2000)</labl>
  <imputation>Proportion of land area used for agriculture (circa 2000)</imputation>
  <security>Proportion of land area used for agriculture (circa 2000)</security>
  <embargo>Proportion of land area used for agriculture (circa 2000)</embargo>
  <respUnit>Proportion of land area used for agriculture (circa 2000)</respUnit>
  <catgry>
    <catValu>-00998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>CROPLAND reports the proportion of land that is planted in crops, for a 10-kilometer circular buffer around each DHS cluster location. The statistics reported in CROPLAND are based on agricultural censuses and remotely sensed imagery circa 2000. 

CROPLAND is available for every IPUMS-DHS sample with GPS data. 
 
CROPLAND, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PASTURELAND" name="W_PASTURELAND" files="W" intrvl="discrete">
  <labl>Proportion of land area used for pastureland (circa 2000)</labl>
  <imputation>Proportion of land area used for pastureland (circa 2000)</imputation>
  <security>Proportion of land area used for pastureland (circa 2000)</security>
  <embargo>Proportion of land area used for pastureland (circa 2000)</embargo>
  <respUnit>Proportion of land area used for pastureland (circa 2000)</respUnit>
  <catgry>
    <catValu>-00998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>PASTURELAND reports the proportion of land that is used as pasture, for a 10-kilometer circular buffer around each DHS cluster location. The pasture area statistics reported in PASTURELAND are based on agricultural censuses and remotely sensed imagery circa 2000.

PASTURELAND is available for every IPUMS-DHS sample with GPS data. 
 
PASTURELAND, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP" name="W_PRECIP" files="W" intrvl="discrete">
  <labl>Precipitation monthly time-series</labl>
  <imputation>Precipitation monthly time-series</imputation>
  <security>Precipitation monthly time-series</security>
  <embargo>Precipitation monthly time-series</embargo>
  <respUnit>Precipitation monthly time-series</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>PRECIP available</labl>
  </catgry>
  <txt>PRECIP consists of a set of 72 separate variables. These variables report the average precipitation in millimeters, received within a 10-kilometer circular buffer around each DHS cluster location, for the 60 individual months prior to the survey start date, the month of the survey start date, and the 11 individual months following the survey start date. Note that "average" precipitation here refers to averaging the monthly precipitation values for the various subareas included in the buffer zone. 
 
By adding PRECIP to your data cart, you are in effect adding 72 separate variables for:

the 60 individual months prior to the survey start date, denoted by the number of months prior to the survey start date (e.g., PRECIP_01 is the average precipitation in the month before the survey start date; PRECIP_60 is the average precipitation in the 60th month before the survey start date);
the month of the survey start date (PRECIP_00);
the 11 individual months following the month of the survey start date, denoted by the number of months following the month of the survey start date (e.g., PRECIP_A01 is the average precipitation in the month following the month of the survey start date).
 

The full set of monthly precipitation data, from January 1981 through August 2018, is available on the IPUMS-DHS contextual variables downloads [URL omitted from DDI.] page. Users can merge the precipitation data, available in csv format, with their IPUMS-DHS data extract to create average or total precipitation variables (e.g., average January precipitation, total 2017 precipitation), for the time frame suited to their research question.

For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_60" name="W_PRECIP_60" files="W" intrvl="discrete">
  <labl>Precipitation 60 months before survey start date</labl>
  <imputation>Precipitation 60 months before survey start date</imputation>
  <security>Precipitation 60 months before survey start date</security>
  <embargo>Precipitation 60 months before survey start date</embargo>
  <respUnit>Precipitation 60 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_59" name="W_PRECIP_59" files="W" intrvl="discrete">
  <labl>Precipitation 59 months before survey start date</labl>
  <imputation>Precipitation 59 months before survey start date</imputation>
  <security>Precipitation 59 months before survey start date</security>
  <embargo>Precipitation 59 months before survey start date</embargo>
  <respUnit>Precipitation 59 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_58" name="W_PRECIP_58" files="W" intrvl="discrete">
  <labl>Precipitation 58 months before survey start date</labl>
  <imputation>Precipitation 58 months before survey start date</imputation>
  <security>Precipitation 58 months before survey start date</security>
  <embargo>Precipitation 58 months before survey start date</embargo>
  <respUnit>Precipitation 58 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_57" name="W_PRECIP_57" files="W" intrvl="discrete">
  <labl>Precipitation 57 months before survey start date</labl>
  <imputation>Precipitation 57 months before survey start date</imputation>
  <security>Precipitation 57 months before survey start date</security>
  <embargo>Precipitation 57 months before survey start date</embargo>
  <respUnit>Precipitation 57 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_56" name="W_PRECIP_56" files="W" intrvl="discrete">
  <labl>Precipitation 56 months before survey start date</labl>
  <imputation>Precipitation 56 months before survey start date</imputation>
  <security>Precipitation 56 months before survey start date</security>
  <embargo>Precipitation 56 months before survey start date</embargo>
  <respUnit>Precipitation 56 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_55" name="W_PRECIP_55" files="W" intrvl="discrete">
  <labl>Precipitation 55 months before survey start date</labl>
  <imputation>Precipitation 55 months before survey start date</imputation>
  <security>Precipitation 55 months before survey start date</security>
  <embargo>Precipitation 55 months before survey start date</embargo>
  <respUnit>Precipitation 55 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_54" name="W_PRECIP_54" files="W" intrvl="discrete">
  <labl>Precipitation 54 months before survey start date</labl>
  <imputation>Precipitation 54 months before survey start date</imputation>
  <security>Precipitation 54 months before survey start date</security>
  <embargo>Precipitation 54 months before survey start date</embargo>
  <respUnit>Precipitation 54 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_53" name="W_PRECIP_53" files="W" intrvl="discrete">
  <labl>Precipitation 53 months before survey start date</labl>
  <imputation>Precipitation 53 months before survey start date</imputation>
  <security>Precipitation 53 months before survey start date</security>
  <embargo>Precipitation 53 months before survey start date</embargo>
  <respUnit>Precipitation 53 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_52" name="W_PRECIP_52" files="W" intrvl="discrete">
  <labl>Precipitation 52 months before survey start date</labl>
  <imputation>Precipitation 52 months before survey start date</imputation>
  <security>Precipitation 52 months before survey start date</security>
  <embargo>Precipitation 52 months before survey start date</embargo>
  <respUnit>Precipitation 52 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_51" name="W_PRECIP_51" files="W" intrvl="discrete">
  <labl>Precipitation 51 months before survey start date</labl>
  <imputation>Precipitation 51 months before survey start date</imputation>
  <security>Precipitation 51 months before survey start date</security>
  <embargo>Precipitation 51 months before survey start date</embargo>
  <respUnit>Precipitation 51 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_50" name="W_PRECIP_50" files="W" intrvl="discrete">
  <labl>Precipitation 50 months before survey start date</labl>
  <imputation>Precipitation 50 months before survey start date</imputation>
  <security>Precipitation 50 months before survey start date</security>
  <embargo>Precipitation 50 months before survey start date</embargo>
  <respUnit>Precipitation 50 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_49" name="W_PRECIP_49" files="W" intrvl="discrete">
  <labl>Precipitation 49 months before survey start date</labl>
  <imputation>Precipitation 49 months before survey start date</imputation>
  <security>Precipitation 49 months before survey start date</security>
  <embargo>Precipitation 49 months before survey start date</embargo>
  <respUnit>Precipitation 49 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_48" name="W_PRECIP_48" files="W" intrvl="discrete">
  <labl>Precipitation 48 months before survey start date</labl>
  <imputation>Precipitation 48 months before survey start date</imputation>
  <security>Precipitation 48 months before survey start date</security>
  <embargo>Precipitation 48 months before survey start date</embargo>
  <respUnit>Precipitation 48 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_47" name="W_PRECIP_47" files="W" intrvl="discrete">
  <labl>Precipitation 47 months before survey start date</labl>
  <imputation>Precipitation 47 months before survey start date</imputation>
  <security>Precipitation 47 months before survey start date</security>
  <embargo>Precipitation 47 months before survey start date</embargo>
  <respUnit>Precipitation 47 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_46" name="W_PRECIP_46" files="W" intrvl="discrete">
  <labl>Precipitation 46 months before survey start date</labl>
  <imputation>Precipitation 46 months before survey start date</imputation>
  <security>Precipitation 46 months before survey start date</security>
  <embargo>Precipitation 46 months before survey start date</embargo>
  <respUnit>Precipitation 46 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_45" name="W_PRECIP_45" files="W" intrvl="discrete">
  <labl>Precipitation 45 months before survey start date</labl>
  <imputation>Precipitation 45 months before survey start date</imputation>
  <security>Precipitation 45 months before survey start date</security>
  <embargo>Precipitation 45 months before survey start date</embargo>
  <respUnit>Precipitation 45 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_44" name="W_PRECIP_44" files="W" intrvl="discrete">
  <labl>Precipitation 44 months before survey start date</labl>
  <imputation>Precipitation 44 months before survey start date</imputation>
  <security>Precipitation 44 months before survey start date</security>
  <embargo>Precipitation 44 months before survey start date</embargo>
  <respUnit>Precipitation 44 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_43" name="W_PRECIP_43" files="W" intrvl="discrete">
  <labl>Precipitation 43 months before survey start date</labl>
  <imputation>Precipitation 43 months before survey start date</imputation>
  <security>Precipitation 43 months before survey start date</security>
  <embargo>Precipitation 43 months before survey start date</embargo>
  <respUnit>Precipitation 43 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_42" name="W_PRECIP_42" files="W" intrvl="discrete">
  <labl>Precipitation 42 months before survey start date</labl>
  <imputation>Precipitation 42 months before survey start date</imputation>
  <security>Precipitation 42 months before survey start date</security>
  <embargo>Precipitation 42 months before survey start date</embargo>
  <respUnit>Precipitation 42 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_41" name="W_PRECIP_41" files="W" intrvl="discrete">
  <labl>Precipitation 41 months before survey start date</labl>
  <imputation>Precipitation 41 months before survey start date</imputation>
  <security>Precipitation 41 months before survey start date</security>
  <embargo>Precipitation 41 months before survey start date</embargo>
  <respUnit>Precipitation 41 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_40" name="W_PRECIP_40" files="W" intrvl="discrete">
  <labl>Precipitation 40 months before survey start date</labl>
  <imputation>Precipitation 40 months before survey start date</imputation>
  <security>Precipitation 40 months before survey start date</security>
  <embargo>Precipitation 40 months before survey start date</embargo>
  <respUnit>Precipitation 40 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_39" name="W_PRECIP_39" files="W" intrvl="discrete">
  <labl>Precipitation 39 months before survey start date</labl>
  <imputation>Precipitation 39 months before survey start date</imputation>
  <security>Precipitation 39 months before survey start date</security>
  <embargo>Precipitation 39 months before survey start date</embargo>
  <respUnit>Precipitation 39 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_38" name="W_PRECIP_38" files="W" intrvl="discrete">
  <labl>Precipitation 38 months before survey start date</labl>
  <imputation>Precipitation 38 months before survey start date</imputation>
  <security>Precipitation 38 months before survey start date</security>
  <embargo>Precipitation 38 months before survey start date</embargo>
  <respUnit>Precipitation 38 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_37" name="W_PRECIP_37" files="W" intrvl="discrete">
  <labl>Precipitation 37 months before survey start date</labl>
  <imputation>Precipitation 37 months before survey start date</imputation>
  <security>Precipitation 37 months before survey start date</security>
  <embargo>Precipitation 37 months before survey start date</embargo>
  <respUnit>Precipitation 37 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_36" name="W_PRECIP_36" files="W" intrvl="discrete">
  <labl>Precipitation 36 months before survey start date</labl>
  <imputation>Precipitation 36 months before survey start date</imputation>
  <security>Precipitation 36 months before survey start date</security>
  <embargo>Precipitation 36 months before survey start date</embargo>
  <respUnit>Precipitation 36 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_35" name="W_PRECIP_35" files="W" intrvl="discrete">
  <labl>Precipitation 35 months before survey start date</labl>
  <imputation>Precipitation 35 months before survey start date</imputation>
  <security>Precipitation 35 months before survey start date</security>
  <embargo>Precipitation 35 months before survey start date</embargo>
  <respUnit>Precipitation 35 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_34" name="W_PRECIP_34" files="W" intrvl="discrete">
  <labl>Precipitation 34 months before survey start date</labl>
  <imputation>Precipitation 34 months before survey start date</imputation>
  <security>Precipitation 34 months before survey start date</security>
  <embargo>Precipitation 34 months before survey start date</embargo>
  <respUnit>Precipitation 34 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_33" name="W_PRECIP_33" files="W" intrvl="discrete">
  <labl>Precipitation 33 months before survey start date</labl>
  <imputation>Precipitation 33 months before survey start date</imputation>
  <security>Precipitation 33 months before survey start date</security>
  <embargo>Precipitation 33 months before survey start date</embargo>
  <respUnit>Precipitation 33 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_32" name="W_PRECIP_32" files="W" intrvl="discrete">
  <labl>Precipitation 32 months before survey start date</labl>
  <imputation>Precipitation 32 months before survey start date</imputation>
  <security>Precipitation 32 months before survey start date</security>
  <embargo>Precipitation 32 months before survey start date</embargo>
  <respUnit>Precipitation 32 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_31" name="W_PRECIP_31" files="W" intrvl="discrete">
  <labl>Precipitation 31 months before survey start date</labl>
  <imputation>Precipitation 31 months before survey start date</imputation>
  <security>Precipitation 31 months before survey start date</security>
  <embargo>Precipitation 31 months before survey start date</embargo>
  <respUnit>Precipitation 31 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_30" name="W_PRECIP_30" files="W" intrvl="discrete">
  <labl>Precipitation 30 months before survey start date</labl>
  <imputation>Precipitation 30 months before survey start date</imputation>
  <security>Precipitation 30 months before survey start date</security>
  <embargo>Precipitation 30 months before survey start date</embargo>
  <respUnit>Precipitation 30 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_29" name="W_PRECIP_29" files="W" intrvl="discrete">
  <labl>Precipitation 29 months before survey start date</labl>
  <imputation>Precipitation 29 months before survey start date</imputation>
  <security>Precipitation 29 months before survey start date</security>
  <embargo>Precipitation 29 months before survey start date</embargo>
  <respUnit>Precipitation 29 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_28" name="W_PRECIP_28" files="W" intrvl="discrete">
  <labl>Precipitation 28 months before survey start date</labl>
  <imputation>Precipitation 28 months before survey start date</imputation>
  <security>Precipitation 28 months before survey start date</security>
  <embargo>Precipitation 28 months before survey start date</embargo>
  <respUnit>Precipitation 28 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_27" name="W_PRECIP_27" files="W" intrvl="discrete">
  <labl>Precipitation 27 months before survey start date</labl>
  <imputation>Precipitation 27 months before survey start date</imputation>
  <security>Precipitation 27 months before survey start date</security>
  <embargo>Precipitation 27 months before survey start date</embargo>
  <respUnit>Precipitation 27 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_26" name="W_PRECIP_26" files="W" intrvl="discrete">
  <labl>Precipitation 26 months before survey start date</labl>
  <imputation>Precipitation 26 months before survey start date</imputation>
  <security>Precipitation 26 months before survey start date</security>
  <embargo>Precipitation 26 months before survey start date</embargo>
  <respUnit>Precipitation 26 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_25" name="W_PRECIP_25" files="W" intrvl="discrete">
  <labl>Precipitation 25 months before survey start date</labl>
  <imputation>Precipitation 25 months before survey start date</imputation>
  <security>Precipitation 25 months before survey start date</security>
  <embargo>Precipitation 25 months before survey start date</embargo>
  <respUnit>Precipitation 25 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_24" name="W_PRECIP_24" files="W" intrvl="discrete">
  <labl>Precipitation 24 months before survey start date</labl>
  <imputation>Precipitation 24 months before survey start date</imputation>
  <security>Precipitation 24 months before survey start date</security>
  <embargo>Precipitation 24 months before survey start date</embargo>
  <respUnit>Precipitation 24 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_23" name="W_PRECIP_23" files="W" intrvl="discrete">
  <labl>Precipitation 23 months before survey start date</labl>
  <imputation>Precipitation 23 months before survey start date</imputation>
  <security>Precipitation 23 months before survey start date</security>
  <embargo>Precipitation 23 months before survey start date</embargo>
  <respUnit>Precipitation 23 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_22" name="W_PRECIP_22" files="W" intrvl="discrete">
  <labl>Precipitation 22 months before survey start date</labl>
  <imputation>Precipitation 22 months before survey start date</imputation>
  <security>Precipitation 22 months before survey start date</security>
  <embargo>Precipitation 22 months before survey start date</embargo>
  <respUnit>Precipitation 22 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_21" name="W_PRECIP_21" files="W" intrvl="discrete">
  <labl>Precipitation 21 months before survey start date</labl>
  <imputation>Precipitation 21 months before survey start date</imputation>
  <security>Precipitation 21 months before survey start date</security>
  <embargo>Precipitation 21 months before survey start date</embargo>
  <respUnit>Precipitation 21 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_20" name="W_PRECIP_20" files="W" intrvl="discrete">
  <labl>Precipitation 20 months before survey start date</labl>
  <imputation>Precipitation 20 months before survey start date</imputation>
  <security>Precipitation 20 months before survey start date</security>
  <embargo>Precipitation 20 months before survey start date</embargo>
  <respUnit>Precipitation 20 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_19" name="W_PRECIP_19" files="W" intrvl="discrete">
  <labl>Precipitation 19 months before survey start date</labl>
  <imputation>Precipitation 19 months before survey start date</imputation>
  <security>Precipitation 19 months before survey start date</security>
  <embargo>Precipitation 19 months before survey start date</embargo>
  <respUnit>Precipitation 19 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_18" name="W_PRECIP_18" files="W" intrvl="discrete">
  <labl>Precipitation 18 months before survey start date</labl>
  <imputation>Precipitation 18 months before survey start date</imputation>
  <security>Precipitation 18 months before survey start date</security>
  <embargo>Precipitation 18 months before survey start date</embargo>
  <respUnit>Precipitation 18 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_17" name="W_PRECIP_17" files="W" intrvl="discrete">
  <labl>Precipitation 17 months before survey start date</labl>
  <imputation>Precipitation 17 months before survey start date</imputation>
  <security>Precipitation 17 months before survey start date</security>
  <embargo>Precipitation 17 months before survey start date</embargo>
  <respUnit>Precipitation 17 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_16" name="W_PRECIP_16" files="W" intrvl="discrete">
  <labl>Precipitation 16 months before survey start date</labl>
  <imputation>Precipitation 16 months before survey start date</imputation>
  <security>Precipitation 16 months before survey start date</security>
  <embargo>Precipitation 16 months before survey start date</embargo>
  <respUnit>Precipitation 16 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_15" name="W_PRECIP_15" files="W" intrvl="discrete">
  <labl>Precipitation 15 months before survey start date</labl>
  <imputation>Precipitation 15 months before survey start date</imputation>
  <security>Precipitation 15 months before survey start date</security>
  <embargo>Precipitation 15 months before survey start date</embargo>
  <respUnit>Precipitation 15 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_14" name="W_PRECIP_14" files="W" intrvl="discrete">
  <labl>Precipitation 14 months before survey start date</labl>
  <imputation>Precipitation 14 months before survey start date</imputation>
  <security>Precipitation 14 months before survey start date</security>
  <embargo>Precipitation 14 months before survey start date</embargo>
  <respUnit>Precipitation 14 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_13" name="W_PRECIP_13" files="W" intrvl="discrete">
  <labl>Precipitation 13 months before survey start date</labl>
  <imputation>Precipitation 13 months before survey start date</imputation>
  <security>Precipitation 13 months before survey start date</security>
  <embargo>Precipitation 13 months before survey start date</embargo>
  <respUnit>Precipitation 13 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_12" name="W_PRECIP_12" files="W" intrvl="discrete">
  <labl>Precipitation 12 months before survey start date</labl>
  <imputation>Precipitation 12 months before survey start date</imputation>
  <security>Precipitation 12 months before survey start date</security>
  <embargo>Precipitation 12 months before survey start date</embargo>
  <respUnit>Precipitation 12 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_11" name="W_PRECIP_11" files="W" intrvl="discrete">
  <labl>Precipitation 11 months before survey start date</labl>
  <imputation>Precipitation 11 months before survey start date</imputation>
  <security>Precipitation 11 months before survey start date</security>
  <embargo>Precipitation 11 months before survey start date</embargo>
  <respUnit>Precipitation 11 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_10" name="W_PRECIP_10" files="W" intrvl="discrete">
  <labl>Precipitation 10 months before survey start date</labl>
  <imputation>Precipitation 10 months before survey start date</imputation>
  <security>Precipitation 10 months before survey start date</security>
  <embargo>Precipitation 10 months before survey start date</embargo>
  <respUnit>Precipitation 10 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_09" name="W_PRECIP_09" files="W" intrvl="discrete">
  <labl>Precipitation 9 months before survey start date</labl>
  <imputation>Precipitation 9 months before survey start date</imputation>
  <security>Precipitation 9 months before survey start date</security>
  <embargo>Precipitation 9 months before survey start date</embargo>
  <respUnit>Precipitation 9 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_08" name="W_PRECIP_08" files="W" intrvl="discrete">
  <labl>Precipitation 8 months before survey start date</labl>
  <imputation>Precipitation 8 months before survey start date</imputation>
  <security>Precipitation 8 months before survey start date</security>
  <embargo>Precipitation 8 months before survey start date</embargo>
  <respUnit>Precipitation 8 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_07" name="W_PRECIP_07" files="W" intrvl="discrete">
  <labl>Precipitation 7 months before survey start date</labl>
  <imputation>Precipitation 7 months before survey start date</imputation>
  <security>Precipitation 7 months before survey start date</security>
  <embargo>Precipitation 7 months before survey start date</embargo>
  <respUnit>Precipitation 7 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_06" name="W_PRECIP_06" files="W" intrvl="discrete">
  <labl>Precipitation 6 months before survey start date</labl>
  <imputation>Precipitation 6 months before survey start date</imputation>
  <security>Precipitation 6 months before survey start date</security>
  <embargo>Precipitation 6 months before survey start date</embargo>
  <respUnit>Precipitation 6 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_05" name="W_PRECIP_05" files="W" intrvl="discrete">
  <labl>Precipitation 5 months before survey start date</labl>
  <imputation>Precipitation 5 months before survey start date</imputation>
  <security>Precipitation 5 months before survey start date</security>
  <embargo>Precipitation 5 months before survey start date</embargo>
  <respUnit>Precipitation 5 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_04" name="W_PRECIP_04" files="W" intrvl="discrete">
  <labl>Precipitation 4 months before survey start date</labl>
  <imputation>Precipitation 4 months before survey start date</imputation>
  <security>Precipitation 4 months before survey start date</security>
  <embargo>Precipitation 4 months before survey start date</embargo>
  <respUnit>Precipitation 4 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_03" name="W_PRECIP_03" files="W" intrvl="discrete">
  <labl>Precipitation 3 months before survey start date</labl>
  <imputation>Precipitation 3 months before survey start date</imputation>
  <security>Precipitation 3 months before survey start date</security>
  <embargo>Precipitation 3 months before survey start date</embargo>
  <respUnit>Precipitation 3 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_02" name="W_PRECIP_02" files="W" intrvl="discrete">
  <labl>Precipitation 2 months before survey start date</labl>
  <imputation>Precipitation 2 months before survey start date</imputation>
  <security>Precipitation 2 months before survey start date</security>
  <embargo>Precipitation 2 months before survey start date</embargo>
  <respUnit>Precipitation 2 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_01" name="W_PRECIP_01" files="W" intrvl="discrete">
  <labl>Precipitation 1 month before survey start date</labl>
  <imputation>Precipitation 1 month before survey start date</imputation>
  <security>Precipitation 1 month before survey start date</security>
  <embargo>Precipitation 1 month before survey start date</embargo>
  <respUnit>Precipitation 1 month before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_00" name="W_PRECIP_00" files="W" intrvl="discrete">
  <labl>Precipitation month of survey start date</labl>
  <imputation>Precipitation month of survey start date</imputation>
  <security>Precipitation month of survey start date</security>
  <embargo>Precipitation month of survey start date</embargo>
  <respUnit>Precipitation month of survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_A01" name="W_PRECIP_A01" files="W" intrvl="discrete">
  <labl>Precipitation 1 month after survey start date</labl>
  <imputation>Precipitation 1 month after survey start date</imputation>
  <security>Precipitation 1 month after survey start date</security>
  <embargo>Precipitation 1 month after survey start date</embargo>
  <respUnit>Precipitation 1 month after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_A02" name="W_PRECIP_A02" files="W" intrvl="discrete">
  <labl>Precipitation 2 months after survey start date</labl>
  <imputation>Precipitation 2 months after survey start date</imputation>
  <security>Precipitation 2 months after survey start date</security>
  <embargo>Precipitation 2 months after survey start date</embargo>
  <respUnit>Precipitation 2 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_A03" name="W_PRECIP_A03" files="W" intrvl="discrete">
  <labl>Precipitation 3 months after survey start date</labl>
  <imputation>Precipitation 3 months after survey start date</imputation>
  <security>Precipitation 3 months after survey start date</security>
  <embargo>Precipitation 3 months after survey start date</embargo>
  <respUnit>Precipitation 3 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_A04" name="W_PRECIP_A04" files="W" intrvl="discrete">
  <labl>Precipitation 4 months after survey start date</labl>
  <imputation>Precipitation 4 months after survey start date</imputation>
  <security>Precipitation 4 months after survey start date</security>
  <embargo>Precipitation 4 months after survey start date</embargo>
  <respUnit>Precipitation 4 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_A05" name="W_PRECIP_A05" files="W" intrvl="discrete">
  <labl>Precipitation 5 months after survey start date</labl>
  <imputation>Precipitation 5 months after survey start date</imputation>
  <security>Precipitation 5 months after survey start date</security>
  <embargo>Precipitation 5 months after survey start date</embargo>
  <respUnit>Precipitation 5 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_A06" name="W_PRECIP_A06" files="W" intrvl="discrete">
  <labl>Precipitation 6 months after survey start date</labl>
  <imputation>Precipitation 6 months after survey start date</imputation>
  <security>Precipitation 6 months after survey start date</security>
  <embargo>Precipitation 6 months after survey start date</embargo>
  <respUnit>Precipitation 6 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_A07" name="W_PRECIP_A07" files="W" intrvl="discrete">
  <labl>Precipitation 7 months after survey start date</labl>
  <imputation>Precipitation 7 months after survey start date</imputation>
  <security>Precipitation 7 months after survey start date</security>
  <embargo>Precipitation 7 months after survey start date</embargo>
  <respUnit>Precipitation 7 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_A08" name="W_PRECIP_A08" files="W" intrvl="discrete">
  <labl>Precipitation 8 months after survey start date</labl>
  <imputation>Precipitation 8 months after survey start date</imputation>
  <security>Precipitation 8 months after survey start date</security>
  <embargo>Precipitation 8 months after survey start date</embargo>
  <respUnit>Precipitation 8 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_A09" name="W_PRECIP_A09" files="W" intrvl="discrete">
  <labl>Precipitation 9 months after survey start date</labl>
  <imputation>Precipitation 9 months after survey start date</imputation>
  <security>Precipitation 9 months after survey start date</security>
  <embargo>Precipitation 9 months after survey start date</embargo>
  <respUnit>Precipitation 9 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_A10" name="W_PRECIP_A10" files="W" intrvl="discrete">
  <labl>Precipitation 10 months after survey start date</labl>
  <imputation>Precipitation 10 months after survey start date</imputation>
  <security>Precipitation 10 months after survey start date</security>
  <embargo>Precipitation 10 months after survey start date</embargo>
  <respUnit>Precipitation 10 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_PRECIP_A11" name="W_PRECIP_A11" files="W" intrvl="discrete">
  <labl>Precipitation 11 months after survey start date</labl>
  <imputation>Precipitation 11 months after survey start date</imputation>
  <security>Precipitation 11 months after survey start date</security>
  <embargo>Precipitation 11 months after survey start date</embargo>
  <respUnit>Precipitation 11 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN" name="W_TEMPMIN" files="W" intrvl="discrete">
  <labl>Average minimum monthly temperature</labl>
  <imputation>Average minimum monthly temperature</imputation>
  <security>Average minimum monthly temperature</security>
  <embargo>Average minimum monthly temperature</embargo>
  <respUnit>Average minimum monthly temperature</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>TEMPMAX available</labl>
  </catgry>
  <txt>TEMPMIN consists of a set of 72 separate variables reporting minimum monthly temperatures. These variables report the average minimum temperature in kelvin scale, within a 10-kilometer circular buffer around each DHS cluster location, for the 60 individual months prior to the survey start date, the month of the survey start date, and the 11 individual months following the survey start date. Note that "average" minimum temperature here refers to averaging the minimum temperature values for the various subareas included in the buffer zone.
 
By adding TEMPMIN to your data cart, you are in effect adding 72 separate variables for:

the 60 individual months prior to the survey start date, denoted by the number of months prior to the survey start date (e.g., TEMPMIN_01 is the average minimum temperature in the month before the survey start date; TEMPMIN _60 is the average minimum temperature in the 60th month before the survey start date)
the month of the survey start date (TEMPMIN _00)
the 11 individual months following the month of the survey start date, denoted by the number of months following the month of the survey start date (e.g., TEMPMIN_A01 is the average minimum temperature in the month following the month of the survey start date)
 

The full set of monthly temperature data, from January 1980 through December 2016, is available on the IPUMS-DHS contextual variables downloads [URL omitted from DDI.] page. Users can merge the temperature data, available in csv format, with their IPUMS-DHS data extract to create average or total precipitation variables (e.g., average minimum January temperature), for the time frame suited to their research question.

For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_60" name="W_TEMPMIN_60" files="W" intrvl="discrete">
  <labl>Average minimum temperature 60 months before survey start date</labl>
  <imputation>Average minimum temperature 60 months before survey start date</imputation>
  <security>Average minimum temperature 60 months before survey start date</security>
  <embargo>Average minimum temperature 60 months before survey start date</embargo>
  <respUnit>Average minimum temperature 60 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_59" name="W_TEMPMIN_59" files="W" intrvl="discrete">
  <labl>Average minimum temperature 59 months before survey start date</labl>
  <imputation>Average minimum temperature 59 months before survey start date</imputation>
  <security>Average minimum temperature 59 months before survey start date</security>
  <embargo>Average minimum temperature 59 months before survey start date</embargo>
  <respUnit>Average minimum temperature 59 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_58" name="W_TEMPMIN_58" files="W" intrvl="discrete">
  <labl>Average minimum temperature 58 months before survey start date</labl>
  <imputation>Average minimum temperature 58 months before survey start date</imputation>
  <security>Average minimum temperature 58 months before survey start date</security>
  <embargo>Average minimum temperature 58 months before survey start date</embargo>
  <respUnit>Average minimum temperature 58 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_57" name="W_TEMPMIN_57" files="W" intrvl="discrete">
  <labl>Average minimum temperature 57 months before survey start date</labl>
  <imputation>Average minimum temperature 57 months before survey start date</imputation>
  <security>Average minimum temperature 57 months before survey start date</security>
  <embargo>Average minimum temperature 57 months before survey start date</embargo>
  <respUnit>Average minimum temperature 57 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_56" name="W_TEMPMIN_56" files="W" intrvl="discrete">
  <labl>Average minimum temperature 56 months before survey start date</labl>
  <imputation>Average minimum temperature 56 months before survey start date</imputation>
  <security>Average minimum temperature 56 months before survey start date</security>
  <embargo>Average minimum temperature 56 months before survey start date</embargo>
  <respUnit>Average minimum temperature 56 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_55" name="W_TEMPMIN_55" files="W" intrvl="discrete">
  <labl>Average minimum temperature 55 months before survey start date</labl>
  <imputation>Average minimum temperature 55 months before survey start date</imputation>
  <security>Average minimum temperature 55 months before survey start date</security>
  <embargo>Average minimum temperature 55 months before survey start date</embargo>
  <respUnit>Average minimum temperature 55 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_54" name="W_TEMPMIN_54" files="W" intrvl="discrete">
  <labl>Average minimum temperature 54 months before survey start date</labl>
  <imputation>Average minimum temperature 54 months before survey start date</imputation>
  <security>Average minimum temperature 54 months before survey start date</security>
  <embargo>Average minimum temperature 54 months before survey start date</embargo>
  <respUnit>Average minimum temperature 54 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_53" name="W_TEMPMIN_53" files="W" intrvl="discrete">
  <labl>Average minimum temperature 53 months before survey start date</labl>
  <imputation>Average minimum temperature 53 months before survey start date</imputation>
  <security>Average minimum temperature 53 months before survey start date</security>
  <embargo>Average minimum temperature 53 months before survey start date</embargo>
  <respUnit>Average minimum temperature 53 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_52" name="W_TEMPMIN_52" files="W" intrvl="discrete">
  <labl>Average minimum temperature 52 months before survey start date</labl>
  <imputation>Average minimum temperature 52 months before survey start date</imputation>
  <security>Average minimum temperature 52 months before survey start date</security>
  <embargo>Average minimum temperature 52 months before survey start date</embargo>
  <respUnit>Average minimum temperature 52 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_51" name="W_TEMPMIN_51" files="W" intrvl="discrete">
  <labl>Average minimum temperature 51 months before survey start date</labl>
  <imputation>Average minimum temperature 51 months before survey start date</imputation>
  <security>Average minimum temperature 51 months before survey start date</security>
  <embargo>Average minimum temperature 51 months before survey start date</embargo>
  <respUnit>Average minimum temperature 51 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_50" name="W_TEMPMIN_50" files="W" intrvl="discrete">
  <labl>Average minimum temperature 50 months before survey start date</labl>
  <imputation>Average minimum temperature 50 months before survey start date</imputation>
  <security>Average minimum temperature 50 months before survey start date</security>
  <embargo>Average minimum temperature 50 months before survey start date</embargo>
  <respUnit>Average minimum temperature 50 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_49" name="W_TEMPMIN_49" files="W" intrvl="discrete">
  <labl>Average minimum temperature 49 months before survey start date</labl>
  <imputation>Average minimum temperature 49 months before survey start date</imputation>
  <security>Average minimum temperature 49 months before survey start date</security>
  <embargo>Average minimum temperature 49 months before survey start date</embargo>
  <respUnit>Average minimum temperature 49 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_48" name="W_TEMPMIN_48" files="W" intrvl="discrete">
  <labl>Average minimum temperature 48 months before survey start date</labl>
  <imputation>Average minimum temperature 48 months before survey start date</imputation>
  <security>Average minimum temperature 48 months before survey start date</security>
  <embargo>Average minimum temperature 48 months before survey start date</embargo>
  <respUnit>Average minimum temperature 48 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_47" name="W_TEMPMIN_47" files="W" intrvl="discrete">
  <labl>Average minimum temperature 47 months before survey start date</labl>
  <imputation>Average minimum temperature 47 months before survey start date</imputation>
  <security>Average minimum temperature 47 months before survey start date</security>
  <embargo>Average minimum temperature 47 months before survey start date</embargo>
  <respUnit>Average minimum temperature 47 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_46" name="W_TEMPMIN_46" files="W" intrvl="discrete">
  <labl>Average minimum temperature 46 months before survey start date</labl>
  <imputation>Average minimum temperature 46 months before survey start date</imputation>
  <security>Average minimum temperature 46 months before survey start date</security>
  <embargo>Average minimum temperature 46 months before survey start date</embargo>
  <respUnit>Average minimum temperature 46 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_45" name="W_TEMPMIN_45" files="W" intrvl="discrete">
  <labl>Average minimum temperature 45 months before survey start date</labl>
  <imputation>Average minimum temperature 45 months before survey start date</imputation>
  <security>Average minimum temperature 45 months before survey start date</security>
  <embargo>Average minimum temperature 45 months before survey start date</embargo>
  <respUnit>Average minimum temperature 45 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_44" name="W_TEMPMIN_44" files="W" intrvl="discrete">
  <labl>Average minimum temperature 44 months before survey start date</labl>
  <imputation>Average minimum temperature 44 months before survey start date</imputation>
  <security>Average minimum temperature 44 months before survey start date</security>
  <embargo>Average minimum temperature 44 months before survey start date</embargo>
  <respUnit>Average minimum temperature 44 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_43" name="W_TEMPMIN_43" files="W" intrvl="discrete">
  <labl>Average minimum temperature 43 months before survey start date</labl>
  <imputation>Average minimum temperature 43 months before survey start date</imputation>
  <security>Average minimum temperature 43 months before survey start date</security>
  <embargo>Average minimum temperature 43 months before survey start date</embargo>
  <respUnit>Average minimum temperature 43 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_42" name="W_TEMPMIN_42" files="W" intrvl="discrete">
  <labl>Average minimum temperature 42 months before survey start date</labl>
  <imputation>Average minimum temperature 42 months before survey start date</imputation>
  <security>Average minimum temperature 42 months before survey start date</security>
  <embargo>Average minimum temperature 42 months before survey start date</embargo>
  <respUnit>Average minimum temperature 42 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_41" name="W_TEMPMIN_41" files="W" intrvl="discrete">
  <labl>Average minimum temperature 41 months before survey start date</labl>
  <imputation>Average minimum temperature 41 months before survey start date</imputation>
  <security>Average minimum temperature 41 months before survey start date</security>
  <embargo>Average minimum temperature 41 months before survey start date</embargo>
  <respUnit>Average minimum temperature 41 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_40" name="W_TEMPMIN_40" files="W" intrvl="discrete">
  <labl>Average minimum temperature 40 months before survey start date</labl>
  <imputation>Average minimum temperature 40 months before survey start date</imputation>
  <security>Average minimum temperature 40 months before survey start date</security>
  <embargo>Average minimum temperature 40 months before survey start date</embargo>
  <respUnit>Average minimum temperature 40 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_39" name="W_TEMPMIN_39" files="W" intrvl="discrete">
  <labl>Average minimum temperature 39 months before survey start date</labl>
  <imputation>Average minimum temperature 39 months before survey start date</imputation>
  <security>Average minimum temperature 39 months before survey start date</security>
  <embargo>Average minimum temperature 39 months before survey start date</embargo>
  <respUnit>Average minimum temperature 39 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_38" name="W_TEMPMIN_38" files="W" intrvl="discrete">
  <labl>Average minimum temperature 38 months before survey start date</labl>
  <imputation>Average minimum temperature 38 months before survey start date</imputation>
  <security>Average minimum temperature 38 months before survey start date</security>
  <embargo>Average minimum temperature 38 months before survey start date</embargo>
  <respUnit>Average minimum temperature 38 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_37" name="W_TEMPMIN_37" files="W" intrvl="discrete">
  <labl>Average minimum temperature 37 months before survey start date</labl>
  <imputation>Average minimum temperature 37 months before survey start date</imputation>
  <security>Average minimum temperature 37 months before survey start date</security>
  <embargo>Average minimum temperature 37 months before survey start date</embargo>
  <respUnit>Average minimum temperature 37 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_36" name="W_TEMPMIN_36" files="W" intrvl="discrete">
  <labl>Average minimum temperature 36 months before survey start date</labl>
  <imputation>Average minimum temperature 36 months before survey start date</imputation>
  <security>Average minimum temperature 36 months before survey start date</security>
  <embargo>Average minimum temperature 36 months before survey start date</embargo>
  <respUnit>Average minimum temperature 36 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_35" name="W_TEMPMIN_35" files="W" intrvl="discrete">
  <labl>Average minimum temperature 35 months before survey start date</labl>
  <imputation>Average minimum temperature 35 months before survey start date</imputation>
  <security>Average minimum temperature 35 months before survey start date</security>
  <embargo>Average minimum temperature 35 months before survey start date</embargo>
  <respUnit>Average minimum temperature 35 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_34" name="W_TEMPMIN_34" files="W" intrvl="discrete">
  <labl>Average minimum temperature 34 months before survey start date</labl>
  <imputation>Average minimum temperature 34 months before survey start date</imputation>
  <security>Average minimum temperature 34 months before survey start date</security>
  <embargo>Average minimum temperature 34 months before survey start date</embargo>
  <respUnit>Average minimum temperature 34 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_33" name="W_TEMPMIN_33" files="W" intrvl="discrete">
  <labl>Average minimum temperature 33 months before survey start date</labl>
  <imputation>Average minimum temperature 33 months before survey start date</imputation>
  <security>Average minimum temperature 33 months before survey start date</security>
  <embargo>Average minimum temperature 33 months before survey start date</embargo>
  <respUnit>Average minimum temperature 33 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_32" name="W_TEMPMIN_32" files="W" intrvl="discrete">
  <labl>Average minimum temperature 32 months before survey start date</labl>
  <imputation>Average minimum temperature 32 months before survey start date</imputation>
  <security>Average minimum temperature 32 months before survey start date</security>
  <embargo>Average minimum temperature 32 months before survey start date</embargo>
  <respUnit>Average minimum temperature 32 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_31" name="W_TEMPMIN_31" files="W" intrvl="discrete">
  <labl>Average minimum temperature 31 months before survey start date</labl>
  <imputation>Average minimum temperature 31 months before survey start date</imputation>
  <security>Average minimum temperature 31 months before survey start date</security>
  <embargo>Average minimum temperature 31 months before survey start date</embargo>
  <respUnit>Average minimum temperature 31 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_30" name="W_TEMPMIN_30" files="W" intrvl="discrete">
  <labl>Average minimum temperature 30 months before survey start date</labl>
  <imputation>Average minimum temperature 30 months before survey start date</imputation>
  <security>Average minimum temperature 30 months before survey start date</security>
  <embargo>Average minimum temperature 30 months before survey start date</embargo>
  <respUnit>Average minimum temperature 30 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_29" name="W_TEMPMIN_29" files="W" intrvl="discrete">
  <labl>Average minimum temperature 29 months before survey start date</labl>
  <imputation>Average minimum temperature 29 months before survey start date</imputation>
  <security>Average minimum temperature 29 months before survey start date</security>
  <embargo>Average minimum temperature 29 months before survey start date</embargo>
  <respUnit>Average minimum temperature 29 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_28" name="W_TEMPMIN_28" files="W" intrvl="discrete">
  <labl>Average minimum temperature 28 months before survey start date</labl>
  <imputation>Average minimum temperature 28 months before survey start date</imputation>
  <security>Average minimum temperature 28 months before survey start date</security>
  <embargo>Average minimum temperature 28 months before survey start date</embargo>
  <respUnit>Average minimum temperature 28 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_27" name="W_TEMPMIN_27" files="W" intrvl="discrete">
  <labl>Average minimum temperature 27 months before survey start date</labl>
  <imputation>Average minimum temperature 27 months before survey start date</imputation>
  <security>Average minimum temperature 27 months before survey start date</security>
  <embargo>Average minimum temperature 27 months before survey start date</embargo>
  <respUnit>Average minimum temperature 27 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_26" name="W_TEMPMIN_26" files="W" intrvl="discrete">
  <labl>Average minimum temperature 26 months before survey start date</labl>
  <imputation>Average minimum temperature 26 months before survey start date</imputation>
  <security>Average minimum temperature 26 months before survey start date</security>
  <embargo>Average minimum temperature 26 months before survey start date</embargo>
  <respUnit>Average minimum temperature 26 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_25" name="W_TEMPMIN_25" files="W" intrvl="discrete">
  <labl>Average minimum temperature 25 months before survey start date</labl>
  <imputation>Average minimum temperature 25 months before survey start date</imputation>
  <security>Average minimum temperature 25 months before survey start date</security>
  <embargo>Average minimum temperature 25 months before survey start date</embargo>
  <respUnit>Average minimum temperature 25 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_24" name="W_TEMPMIN_24" files="W" intrvl="discrete">
  <labl>Average minimum temperature 24 months before survey start date</labl>
  <imputation>Average minimum temperature 24 months before survey start date</imputation>
  <security>Average minimum temperature 24 months before survey start date</security>
  <embargo>Average minimum temperature 24 months before survey start date</embargo>
  <respUnit>Average minimum temperature 24 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_23" name="W_TEMPMIN_23" files="W" intrvl="discrete">
  <labl>Average minimum temperature 23 months before survey start date</labl>
  <imputation>Average minimum temperature 23 months before survey start date</imputation>
  <security>Average minimum temperature 23 months before survey start date</security>
  <embargo>Average minimum temperature 23 months before survey start date</embargo>
  <respUnit>Average minimum temperature 23 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_22" name="W_TEMPMIN_22" files="W" intrvl="discrete">
  <labl>Average minimum temperature 22 months before survey start date</labl>
  <imputation>Average minimum temperature 22 months before survey start date</imputation>
  <security>Average minimum temperature 22 months before survey start date</security>
  <embargo>Average minimum temperature 22 months before survey start date</embargo>
  <respUnit>Average minimum temperature 22 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_21" name="W_TEMPMIN_21" files="W" intrvl="discrete">
  <labl>Average minimum temperature 21 months before survey start date</labl>
  <imputation>Average minimum temperature 21 months before survey start date</imputation>
  <security>Average minimum temperature 21 months before survey start date</security>
  <embargo>Average minimum temperature 21 months before survey start date</embargo>
  <respUnit>Average minimum temperature 21 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_20" name="W_TEMPMIN_20" files="W" intrvl="discrete">
  <labl>Average minimum temperature 20 months before survey start date</labl>
  <imputation>Average minimum temperature 20 months before survey start date</imputation>
  <security>Average minimum temperature 20 months before survey start date</security>
  <embargo>Average minimum temperature 20 months before survey start date</embargo>
  <respUnit>Average minimum temperature 20 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_19" name="W_TEMPMIN_19" files="W" intrvl="discrete">
  <labl>Average minimum temperature 19 months before survey start date</labl>
  <imputation>Average minimum temperature 19 months before survey start date</imputation>
  <security>Average minimum temperature 19 months before survey start date</security>
  <embargo>Average minimum temperature 19 months before survey start date</embargo>
  <respUnit>Average minimum temperature 19 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_18" name="W_TEMPMIN_18" files="W" intrvl="discrete">
  <labl>Average minimum temperature 18 months before survey start date</labl>
  <imputation>Average minimum temperature 18 months before survey start date</imputation>
  <security>Average minimum temperature 18 months before survey start date</security>
  <embargo>Average minimum temperature 18 months before survey start date</embargo>
  <respUnit>Average minimum temperature 18 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_17" name="W_TEMPMIN_17" files="W" intrvl="discrete">
  <labl>Average minimum temperature 17 months before survey start date</labl>
  <imputation>Average minimum temperature 17 months before survey start date</imputation>
  <security>Average minimum temperature 17 months before survey start date</security>
  <embargo>Average minimum temperature 17 months before survey start date</embargo>
  <respUnit>Average minimum temperature 17 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_16" name="W_TEMPMIN_16" files="W" intrvl="discrete">
  <labl>Average minimum temperature 16 months before survey start date</labl>
  <imputation>Average minimum temperature 16 months before survey start date</imputation>
  <security>Average minimum temperature 16 months before survey start date</security>
  <embargo>Average minimum temperature 16 months before survey start date</embargo>
  <respUnit>Average minimum temperature 16 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_15" name="W_TEMPMIN_15" files="W" intrvl="discrete">
  <labl>Average minimum temperature 15 months before survey start date</labl>
  <imputation>Average minimum temperature 15 months before survey start date</imputation>
  <security>Average minimum temperature 15 months before survey start date</security>
  <embargo>Average minimum temperature 15 months before survey start date</embargo>
  <respUnit>Average minimum temperature 15 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_14" name="W_TEMPMIN_14" files="W" intrvl="discrete">
  <labl>Average minimum temperature 14 months before survey start date</labl>
  <imputation>Average minimum temperature 14 months before survey start date</imputation>
  <security>Average minimum temperature 14 months before survey start date</security>
  <embargo>Average minimum temperature 14 months before survey start date</embargo>
  <respUnit>Average minimum temperature 14 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_13" name="W_TEMPMIN_13" files="W" intrvl="discrete">
  <labl>Average minimum temperature 13 months before survey start date</labl>
  <imputation>Average minimum temperature 13 months before survey start date</imputation>
  <security>Average minimum temperature 13 months before survey start date</security>
  <embargo>Average minimum temperature 13 months before survey start date</embargo>
  <respUnit>Average minimum temperature 13 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_12" name="W_TEMPMIN_12" files="W" intrvl="discrete">
  <labl>Average minimum temperature 12 months before survey start date</labl>
  <imputation>Average minimum temperature 12 months before survey start date</imputation>
  <security>Average minimum temperature 12 months before survey start date</security>
  <embargo>Average minimum temperature 12 months before survey start date</embargo>
  <respUnit>Average minimum temperature 12 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_11" name="W_TEMPMIN_11" files="W" intrvl="discrete">
  <labl>Average minimum temperature 11 months before survey start date</labl>
  <imputation>Average minimum temperature 11 months before survey start date</imputation>
  <security>Average minimum temperature 11 months before survey start date</security>
  <embargo>Average minimum temperature 11 months before survey start date</embargo>
  <respUnit>Average minimum temperature 11 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_10" name="W_TEMPMIN_10" files="W" intrvl="discrete">
  <labl>Average minimum temperature 10 months before survey start date</labl>
  <imputation>Average minimum temperature 10 months before survey start date</imputation>
  <security>Average minimum temperature 10 months before survey start date</security>
  <embargo>Average minimum temperature 10 months before survey start date</embargo>
  <respUnit>Average minimum temperature 10 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_09" name="W_TEMPMIN_09" files="W" intrvl="discrete">
  <labl>Average minimum temperature 9 months before survey start date</labl>
  <imputation>Average minimum temperature 9 months before survey start date</imputation>
  <security>Average minimum temperature 9 months before survey start date</security>
  <embargo>Average minimum temperature 9 months before survey start date</embargo>
  <respUnit>Average minimum temperature 9 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_08" name="W_TEMPMIN_08" files="W" intrvl="discrete">
  <labl>Average minimum temperature 8 months before survey start date</labl>
  <imputation>Average minimum temperature 8 months before survey start date</imputation>
  <security>Average minimum temperature 8 months before survey start date</security>
  <embargo>Average minimum temperature 8 months before survey start date</embargo>
  <respUnit>Average minimum temperature 8 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_07" name="W_TEMPMIN_07" files="W" intrvl="discrete">
  <labl>Average minimum temperature 7 months before survey start date</labl>
  <imputation>Average minimum temperature 7 months before survey start date</imputation>
  <security>Average minimum temperature 7 months before survey start date</security>
  <embargo>Average minimum temperature 7 months before survey start date</embargo>
  <respUnit>Average minimum temperature 7 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_06" name="W_TEMPMIN_06" files="W" intrvl="discrete">
  <labl>Average minimum temperature 6 months before survey start date</labl>
  <imputation>Average minimum temperature 6 months before survey start date</imputation>
  <security>Average minimum temperature 6 months before survey start date</security>
  <embargo>Average minimum temperature 6 months before survey start date</embargo>
  <respUnit>Average minimum temperature 6 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_05" name="W_TEMPMIN_05" files="W" intrvl="discrete">
  <labl>Average minimum temperature 5 months before survey start date</labl>
  <imputation>Average minimum temperature 5 months before survey start date</imputation>
  <security>Average minimum temperature 5 months before survey start date</security>
  <embargo>Average minimum temperature 5 months before survey start date</embargo>
  <respUnit>Average minimum temperature 5 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_04" name="W_TEMPMIN_04" files="W" intrvl="discrete">
  <labl>Average minimum temperature 4 months before survey start date</labl>
  <imputation>Average minimum temperature 4 months before survey start date</imputation>
  <security>Average minimum temperature 4 months before survey start date</security>
  <embargo>Average minimum temperature 4 months before survey start date</embargo>
  <respUnit>Average minimum temperature 4 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_03" name="W_TEMPMIN_03" files="W" intrvl="discrete">
  <labl>Average minimum temperature 3 months before survey start date</labl>
  <imputation>Average minimum temperature 3 months before survey start date</imputation>
  <security>Average minimum temperature 3 months before survey start date</security>
  <embargo>Average minimum temperature 3 months before survey start date</embargo>
  <respUnit>Average minimum temperature 3 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_02" name="W_TEMPMIN_02" files="W" intrvl="discrete">
  <labl>Average minimum temperature 2 months before survey start date</labl>
  <imputation>Average minimum temperature 2 months before survey start date</imputation>
  <security>Average minimum temperature 2 months before survey start date</security>
  <embargo>Average minimum temperature 2 months before survey start date</embargo>
  <respUnit>Average minimum temperature 2 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_01" name="W_TEMPMIN_01" files="W" intrvl="discrete">
  <labl>Average minimum temperature 1 month before survey start date</labl>
  <imputation>Average minimum temperature 1 month before survey start date</imputation>
  <security>Average minimum temperature 1 month before survey start date</security>
  <embargo>Average minimum temperature 1 month before survey start date</embargo>
  <respUnit>Average minimum temperature 1 month before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_00" name="W_TEMPMIN_00" files="W" intrvl="discrete">
  <labl>Average minimum temperature month of survey start date</labl>
  <imputation>Average minimum temperature month of survey start date</imputation>
  <security>Average minimum temperature month of survey start date</security>
  <embargo>Average minimum temperature month of survey start date</embargo>
  <respUnit>Average minimum temperature month of survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_A01" name="W_TEMPMIN_A01" files="W" intrvl="discrete">
  <labl>Average minimum temperature 1 month after survey start date</labl>
  <imputation>Average minimum temperature 1 month after survey start date</imputation>
  <security>Average minimum temperature 1 month after survey start date</security>
  <embargo>Average minimum temperature 1 month after survey start date</embargo>
  <respUnit>Average minimum temperature 1 month after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_A02" name="W_TEMPMIN_A02" files="W" intrvl="discrete">
  <labl>Average minimum temperature 2 months after survey start date</labl>
  <imputation>Average minimum temperature 2 months after survey start date</imputation>
  <security>Average minimum temperature 2 months after survey start date</security>
  <embargo>Average minimum temperature 2 months after survey start date</embargo>
  <respUnit>Average minimum temperature 2 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_A03" name="W_TEMPMIN_A03" files="W" intrvl="discrete">
  <labl>Average minimum temperature 3 months after survey start date</labl>
  <imputation>Average minimum temperature 3 months after survey start date</imputation>
  <security>Average minimum temperature 3 months after survey start date</security>
  <embargo>Average minimum temperature 3 months after survey start date</embargo>
  <respUnit>Average minimum temperature 3 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_A04" name="W_TEMPMIN_A04" files="W" intrvl="discrete">
  <labl>Average minimum temperature 4 months after survey start date</labl>
  <imputation>Average minimum temperature 4 months after survey start date</imputation>
  <security>Average minimum temperature 4 months after survey start date</security>
  <embargo>Average minimum temperature 4 months after survey start date</embargo>
  <respUnit>Average minimum temperature 4 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_A05" name="W_TEMPMIN_A05" files="W" intrvl="discrete">
  <labl>Average minimum temperature 5 months after survey start date</labl>
  <imputation>Average minimum temperature 5 months after survey start date</imputation>
  <security>Average minimum temperature 5 months after survey start date</security>
  <embargo>Average minimum temperature 5 months after survey start date</embargo>
  <respUnit>Average minimum temperature 5 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_A06" name="W_TEMPMIN_A06" files="W" intrvl="discrete">
  <labl>Average minimum temperature 6 months after survey start date</labl>
  <imputation>Average minimum temperature 6 months after survey start date</imputation>
  <security>Average minimum temperature 6 months after survey start date</security>
  <embargo>Average minimum temperature 6 months after survey start date</embargo>
  <respUnit>Average minimum temperature 6 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_A07" name="W_TEMPMIN_A07" files="W" intrvl="discrete">
  <labl>Average minimum temperature 7 months after survey start date</labl>
  <imputation>Average minimum temperature 7 months after survey start date</imputation>
  <security>Average minimum temperature 7 months after survey start date</security>
  <embargo>Average minimum temperature 7 months after survey start date</embargo>
  <respUnit>Average minimum temperature 7 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_A08" name="W_TEMPMIN_A08" files="W" intrvl="discrete">
  <labl>Average minimum temperature 8 months after survey start date</labl>
  <imputation>Average minimum temperature 8 months after survey start date</imputation>
  <security>Average minimum temperature 8 months after survey start date</security>
  <embargo>Average minimum temperature 8 months after survey start date</embargo>
  <respUnit>Average minimum temperature 8 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_A09" name="W_TEMPMIN_A09" files="W" intrvl="discrete">
  <labl>Average minimum temperature 9 months after survey start date</labl>
  <imputation>Average minimum temperature 9 months after survey start date</imputation>
  <security>Average minimum temperature 9 months after survey start date</security>
  <embargo>Average minimum temperature 9 months after survey start date</embargo>
  <respUnit>Average minimum temperature 9 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_A10" name="W_TEMPMIN_A10" files="W" intrvl="discrete">
  <labl>Average minimum temperature 10 months after survey start date</labl>
  <imputation>Average minimum temperature 10 months after survey start date</imputation>
  <security>Average minimum temperature 10 months after survey start date</security>
  <embargo>Average minimum temperature 10 months after survey start date</embargo>
  <respUnit>Average minimum temperature 10 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMIN_A11" name="W_TEMPMIN_A11" files="W" intrvl="discrete">
  <labl>Average minimum temperature 11 months after survey start date</labl>
  <imputation>Average minimum temperature 11 months after survey start date</imputation>
  <security>Average minimum temperature 11 months after survey start date</security>
  <embargo>Average minimum temperature 11 months after survey start date</embargo>
  <respUnit>Average minimum temperature 11 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX" name="W_TEMPMAX" files="W" intrvl="discrete">
  <labl>Average maximum monthly temperature</labl>
  <imputation>Average maximum monthly temperature</imputation>
  <security>Average maximum monthly temperature</security>
  <embargo>Average maximum monthly temperature</embargo>
  <respUnit>Average maximum monthly temperature</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>TEMPMAX available</labl>
  </catgry>
  <txt>TEMPMAX consists of a set of 72 separate variables reporting maximum monthly temperatures. These variables report the average maximum temperature in kelvin scale, within a 10-kilometer circular buffer around each DHS cluster location, for the 60 individual months prior to the survey start date, the month of the survey start date, and the 11 individual months following the survey start date. Note that "average" maximum temperature here refers to averaging the maximum temperature values for the various subareas included in the buffer zone. 
 
By adding TEMPMAX to your data cart, you are in effect adding 72 separate variables for:

the 60 individual months prior to the survey start date, denoted by the number of months prior to the survey start date (e.g., TEMPMAX_01 is the average maximum temperature in the month before the survey start date; TEMPMAX _60 is the average maximum temperature in the 60th month before the survey start date)
the month of the survey start date (TEMPMAX _00)
the 11 individual months following the month of the survey start date, denoted by the number of months following the month of the survey start date (e.g., TEMPMAX_A01 is the average maximum temperature in the month following the month of the survey start date).
 

The full set of monthly temperature data, from January 1980 through December 2016, is available on the IPUMS-DHS contextual variables downloads [URL omitted from DDI.] page. Users can merge the temperature data, available in csv format, with their IPUMS-DHS data extract to create average or total precipitation variables (e.g., average maximum July temperature), for the time frame suited to their research question.

For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_60" name="W_TEMPMAX_60" files="W" intrvl="discrete">
  <labl>Average maximum temperature 60 months before survey start date</labl>
  <imputation>Average maximum temperature 60 months before survey start date</imputation>
  <security>Average maximum temperature 60 months before survey start date</security>
  <embargo>Average maximum temperature 60 months before survey start date</embargo>
  <respUnit>Average maximum temperature 60 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_59" name="W_TEMPMAX_59" files="W" intrvl="discrete">
  <labl>Average maximum temperature 59 months before survey start date</labl>
  <imputation>Average maximum temperature 59 months before survey start date</imputation>
  <security>Average maximum temperature 59 months before survey start date</security>
  <embargo>Average maximum temperature 59 months before survey start date</embargo>
  <respUnit>Average maximum temperature 59 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_58" name="W_TEMPMAX_58" files="W" intrvl="discrete">
  <labl>Average maximum temperature 58 months before survey start date</labl>
  <imputation>Average maximum temperature 58 months before survey start date</imputation>
  <security>Average maximum temperature 58 months before survey start date</security>
  <embargo>Average maximum temperature 58 months before survey start date</embargo>
  <respUnit>Average maximum temperature 58 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_57" name="W_TEMPMAX_57" files="W" intrvl="discrete">
  <labl>Average maximum temperature 57 months before survey start date</labl>
  <imputation>Average maximum temperature 57 months before survey start date</imputation>
  <security>Average maximum temperature 57 months before survey start date</security>
  <embargo>Average maximum temperature 57 months before survey start date</embargo>
  <respUnit>Average maximum temperature 57 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_56" name="W_TEMPMAX_56" files="W" intrvl="discrete">
  <labl>Average maximum temperature 56 months before survey start date</labl>
  <imputation>Average maximum temperature 56 months before survey start date</imputation>
  <security>Average maximum temperature 56 months before survey start date</security>
  <embargo>Average maximum temperature 56 months before survey start date</embargo>
  <respUnit>Average maximum temperature 56 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_55" name="W_TEMPMAX_55" files="W" intrvl="discrete">
  <labl>Average maximum temperature 55 months before survey start date</labl>
  <imputation>Average maximum temperature 55 months before survey start date</imputation>
  <security>Average maximum temperature 55 months before survey start date</security>
  <embargo>Average maximum temperature 55 months before survey start date</embargo>
  <respUnit>Average maximum temperature 55 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_54" name="W_TEMPMAX_54" files="W" intrvl="discrete">
  <labl>Average maximum temperature 54 months before survey start date</labl>
  <imputation>Average maximum temperature 54 months before survey start date</imputation>
  <security>Average maximum temperature 54 months before survey start date</security>
  <embargo>Average maximum temperature 54 months before survey start date</embargo>
  <respUnit>Average maximum temperature 54 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_53" name="W_TEMPMAX_53" files="W" intrvl="discrete">
  <labl>Average maximum temperature 53 months before survey start date</labl>
  <imputation>Average maximum temperature 53 months before survey start date</imputation>
  <security>Average maximum temperature 53 months before survey start date</security>
  <embargo>Average maximum temperature 53 months before survey start date</embargo>
  <respUnit>Average maximum temperature 53 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_52" name="W_TEMPMAX_52" files="W" intrvl="discrete">
  <labl>Average maximum temperature 52 months before survey start date</labl>
  <imputation>Average maximum temperature 52 months before survey start date</imputation>
  <security>Average maximum temperature 52 months before survey start date</security>
  <embargo>Average maximum temperature 52 months before survey start date</embargo>
  <respUnit>Average maximum temperature 52 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_51" name="W_TEMPMAX_51" files="W" intrvl="discrete">
  <labl>Average maximum temperature 51 months before survey start date</labl>
  <imputation>Average maximum temperature 51 months before survey start date</imputation>
  <security>Average maximum temperature 51 months before survey start date</security>
  <embargo>Average maximum temperature 51 months before survey start date</embargo>
  <respUnit>Average maximum temperature 51 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_50" name="W_TEMPMAX_50" files="W" intrvl="discrete">
  <labl>Average maximum temperature 50 months before survey start date</labl>
  <imputation>Average maximum temperature 50 months before survey start date</imputation>
  <security>Average maximum temperature 50 months before survey start date</security>
  <embargo>Average maximum temperature 50 months before survey start date</embargo>
  <respUnit>Average maximum temperature 50 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_49" name="W_TEMPMAX_49" files="W" intrvl="discrete">
  <labl>Average maximum temperature 49 months before survey start date</labl>
  <imputation>Average maximum temperature 49 months before survey start date</imputation>
  <security>Average maximum temperature 49 months before survey start date</security>
  <embargo>Average maximum temperature 49 months before survey start date</embargo>
  <respUnit>Average maximum temperature 49 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_48" name="W_TEMPMAX_48" files="W" intrvl="discrete">
  <labl>Average maximum temperature 48 months before survey start date</labl>
  <imputation>Average maximum temperature 48 months before survey start date</imputation>
  <security>Average maximum temperature 48 months before survey start date</security>
  <embargo>Average maximum temperature 48 months before survey start date</embargo>
  <respUnit>Average maximum temperature 48 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_47" name="W_TEMPMAX_47" files="W" intrvl="discrete">
  <labl>Average maximum temperature 47 months before survey start date</labl>
  <imputation>Average maximum temperature 47 months before survey start date</imputation>
  <security>Average maximum temperature 47 months before survey start date</security>
  <embargo>Average maximum temperature 47 months before survey start date</embargo>
  <respUnit>Average maximum temperature 47 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_46" name="W_TEMPMAX_46" files="W" intrvl="discrete">
  <labl>Average maximum temperature 46 months before survey start date</labl>
  <imputation>Average maximum temperature 46 months before survey start date</imputation>
  <security>Average maximum temperature 46 months before survey start date</security>
  <embargo>Average maximum temperature 46 months before survey start date</embargo>
  <respUnit>Average maximum temperature 46 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_45" name="W_TEMPMAX_45" files="W" intrvl="discrete">
  <labl>Average maximum temperature 45 months before survey start date</labl>
  <imputation>Average maximum temperature 45 months before survey start date</imputation>
  <security>Average maximum temperature 45 months before survey start date</security>
  <embargo>Average maximum temperature 45 months before survey start date</embargo>
  <respUnit>Average maximum temperature 45 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_44" name="W_TEMPMAX_44" files="W" intrvl="discrete">
  <labl>Average maximum temperature 44 months before survey start date</labl>
  <imputation>Average maximum temperature 44 months before survey start date</imputation>
  <security>Average maximum temperature 44 months before survey start date</security>
  <embargo>Average maximum temperature 44 months before survey start date</embargo>
  <respUnit>Average maximum temperature 44 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_43" name="W_TEMPMAX_43" files="W" intrvl="discrete">
  <labl>Average maximum temperature 43 months before survey start date</labl>
  <imputation>Average maximum temperature 43 months before survey start date</imputation>
  <security>Average maximum temperature 43 months before survey start date</security>
  <embargo>Average maximum temperature 43 months before survey start date</embargo>
  <respUnit>Average maximum temperature 43 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_42" name="W_TEMPMAX_42" files="W" intrvl="discrete">
  <labl>Average maximum temperature 42 months before survey start date</labl>
  <imputation>Average maximum temperature 42 months before survey start date</imputation>
  <security>Average maximum temperature 42 months before survey start date</security>
  <embargo>Average maximum temperature 42 months before survey start date</embargo>
  <respUnit>Average maximum temperature 42 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_41" name="W_TEMPMAX_41" files="W" intrvl="discrete">
  <labl>Average maximum temperature 41 months before survey start date</labl>
  <imputation>Average maximum temperature 41 months before survey start date</imputation>
  <security>Average maximum temperature 41 months before survey start date</security>
  <embargo>Average maximum temperature 41 months before survey start date</embargo>
  <respUnit>Average maximum temperature 41 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_40" name="W_TEMPMAX_40" files="W" intrvl="discrete">
  <labl>Average maximum temperature 40 months before survey start date</labl>
  <imputation>Average maximum temperature 40 months before survey start date</imputation>
  <security>Average maximum temperature 40 months before survey start date</security>
  <embargo>Average maximum temperature 40 months before survey start date</embargo>
  <respUnit>Average maximum temperature 40 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_39" name="W_TEMPMAX_39" files="W" intrvl="discrete">
  <labl>Average maximum temperature 39 months before survey start date</labl>
  <imputation>Average maximum temperature 39 months before survey start date</imputation>
  <security>Average maximum temperature 39 months before survey start date</security>
  <embargo>Average maximum temperature 39 months before survey start date</embargo>
  <respUnit>Average maximum temperature 39 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_38" name="W_TEMPMAX_38" files="W" intrvl="discrete">
  <labl>Average maximum temperature 38 months before survey start date</labl>
  <imputation>Average maximum temperature 38 months before survey start date</imputation>
  <security>Average maximum temperature 38 months before survey start date</security>
  <embargo>Average maximum temperature 38 months before survey start date</embargo>
  <respUnit>Average maximum temperature 38 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_37" name="W_TEMPMAX_37" files="W" intrvl="discrete">
  <labl>Average maximum temperature 37 months before survey start date</labl>
  <imputation>Average maximum temperature 37 months before survey start date</imputation>
  <security>Average maximum temperature 37 months before survey start date</security>
  <embargo>Average maximum temperature 37 months before survey start date</embargo>
  <respUnit>Average maximum temperature 37 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_36" name="W_TEMPMAX_36" files="W" intrvl="discrete">
  <labl>Average maximum temperature 36 months before survey start date</labl>
  <imputation>Average maximum temperature 36 months before survey start date</imputation>
  <security>Average maximum temperature 36 months before survey start date</security>
  <embargo>Average maximum temperature 36 months before survey start date</embargo>
  <respUnit>Average maximum temperature 36 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_35" name="W_TEMPMAX_35" files="W" intrvl="discrete">
  <labl>Average maximum temperature 35 months before survey start date</labl>
  <imputation>Average maximum temperature 35 months before survey start date</imputation>
  <security>Average maximum temperature 35 months before survey start date</security>
  <embargo>Average maximum temperature 35 months before survey start date</embargo>
  <respUnit>Average maximum temperature 35 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_34" name="W_TEMPMAX_34" files="W" intrvl="discrete">
  <labl>Average maximum temperature 34 months before survey start date</labl>
  <imputation>Average maximum temperature 34 months before survey start date</imputation>
  <security>Average maximum temperature 34 months before survey start date</security>
  <embargo>Average maximum temperature 34 months before survey start date</embargo>
  <respUnit>Average maximum temperature 34 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_33" name="W_TEMPMAX_33" files="W" intrvl="discrete">
  <labl>Average maximum temperature 33 months before survey start date</labl>
  <imputation>Average maximum temperature 33 months before survey start date</imputation>
  <security>Average maximum temperature 33 months before survey start date</security>
  <embargo>Average maximum temperature 33 months before survey start date</embargo>
  <respUnit>Average maximum temperature 33 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_32" name="W_TEMPMAX_32" files="W" intrvl="discrete">
  <labl>Average maximum temperature 32 months before survey start date</labl>
  <imputation>Average maximum temperature 32 months before survey start date</imputation>
  <security>Average maximum temperature 32 months before survey start date</security>
  <embargo>Average maximum temperature 32 months before survey start date</embargo>
  <respUnit>Average maximum temperature 32 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_31" name="W_TEMPMAX_31" files="W" intrvl="discrete">
  <labl>Average maximum temperature 31 months before survey start date</labl>
  <imputation>Average maximum temperature 31 months before survey start date</imputation>
  <security>Average maximum temperature 31 months before survey start date</security>
  <embargo>Average maximum temperature 31 months before survey start date</embargo>
  <respUnit>Average maximum temperature 31 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_30" name="W_TEMPMAX_30" files="W" intrvl="discrete">
  <labl>Average maximum temperature 30 months before survey start date</labl>
  <imputation>Average maximum temperature 30 months before survey start date</imputation>
  <security>Average maximum temperature 30 months before survey start date</security>
  <embargo>Average maximum temperature 30 months before survey start date</embargo>
  <respUnit>Average maximum temperature 30 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_29" name="W_TEMPMAX_29" files="W" intrvl="discrete">
  <labl>Average maximum temperature 29 months before survey start date</labl>
  <imputation>Average maximum temperature 29 months before survey start date</imputation>
  <security>Average maximum temperature 29 months before survey start date</security>
  <embargo>Average maximum temperature 29 months before survey start date</embargo>
  <respUnit>Average maximum temperature 29 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_28" name="W_TEMPMAX_28" files="W" intrvl="discrete">
  <labl>Average maximum temperature 28 months before survey start date</labl>
  <imputation>Average maximum temperature 28 months before survey start date</imputation>
  <security>Average maximum temperature 28 months before survey start date</security>
  <embargo>Average maximum temperature 28 months before survey start date</embargo>
  <respUnit>Average maximum temperature 28 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_27" name="W_TEMPMAX_27" files="W" intrvl="discrete">
  <labl>Average maximum temperature 27 months before survey start date</labl>
  <imputation>Average maximum temperature 27 months before survey start date</imputation>
  <security>Average maximum temperature 27 months before survey start date</security>
  <embargo>Average maximum temperature 27 months before survey start date</embargo>
  <respUnit>Average maximum temperature 27 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_26" name="W_TEMPMAX_26" files="W" intrvl="discrete">
  <labl>Average maximum temperature 26 months before survey start date</labl>
  <imputation>Average maximum temperature 26 months before survey start date</imputation>
  <security>Average maximum temperature 26 months before survey start date</security>
  <embargo>Average maximum temperature 26 months before survey start date</embargo>
  <respUnit>Average maximum temperature 26 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_25" name="W_TEMPMAX_25" files="W" intrvl="discrete">
  <labl>Average maximum temperature 25 months before survey start date</labl>
  <imputation>Average maximum temperature 25 months before survey start date</imputation>
  <security>Average maximum temperature 25 months before survey start date</security>
  <embargo>Average maximum temperature 25 months before survey start date</embargo>
  <respUnit>Average maximum temperature 25 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_24" name="W_TEMPMAX_24" files="W" intrvl="discrete">
  <labl>Average maximum temperature 24 months before survey start date</labl>
  <imputation>Average maximum temperature 24 months before survey start date</imputation>
  <security>Average maximum temperature 24 months before survey start date</security>
  <embargo>Average maximum temperature 24 months before survey start date</embargo>
  <respUnit>Average maximum temperature 24 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_23" name="W_TEMPMAX_23" files="W" intrvl="discrete">
  <labl>Average maximum temperature 23 months before survey start date</labl>
  <imputation>Average maximum temperature 23 months before survey start date</imputation>
  <security>Average maximum temperature 23 months before survey start date</security>
  <embargo>Average maximum temperature 23 months before survey start date</embargo>
  <respUnit>Average maximum temperature 23 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_22" name="W_TEMPMAX_22" files="W" intrvl="discrete">
  <labl>Average maximum temperature 22 months before survey start date</labl>
  <imputation>Average maximum temperature 22 months before survey start date</imputation>
  <security>Average maximum temperature 22 months before survey start date</security>
  <embargo>Average maximum temperature 22 months before survey start date</embargo>
  <respUnit>Average maximum temperature 22 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_21" name="W_TEMPMAX_21" files="W" intrvl="discrete">
  <labl>Average maximum temperature 21 months before survey start date</labl>
  <imputation>Average maximum temperature 21 months before survey start date</imputation>
  <security>Average maximum temperature 21 months before survey start date</security>
  <embargo>Average maximum temperature 21 months before survey start date</embargo>
  <respUnit>Average maximum temperature 21 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_20" name="W_TEMPMAX_20" files="W" intrvl="discrete">
  <labl>Average maximum temperature 20 months before survey start date</labl>
  <imputation>Average maximum temperature 20 months before survey start date</imputation>
  <security>Average maximum temperature 20 months before survey start date</security>
  <embargo>Average maximum temperature 20 months before survey start date</embargo>
  <respUnit>Average maximum temperature 20 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_19" name="W_TEMPMAX_19" files="W" intrvl="discrete">
  <labl>Average maximum temperature 19 months before survey start date</labl>
  <imputation>Average maximum temperature 19 months before survey start date</imputation>
  <security>Average maximum temperature 19 months before survey start date</security>
  <embargo>Average maximum temperature 19 months before survey start date</embargo>
  <respUnit>Average maximum temperature 19 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_18" name="W_TEMPMAX_18" files="W" intrvl="discrete">
  <labl>Average maximum temperature 18 months before survey start date</labl>
  <imputation>Average maximum temperature 18 months before survey start date</imputation>
  <security>Average maximum temperature 18 months before survey start date</security>
  <embargo>Average maximum temperature 18 months before survey start date</embargo>
  <respUnit>Average maximum temperature 18 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_17" name="W_TEMPMAX_17" files="W" intrvl="discrete">
  <labl>Average maximum temperature 17 months before survey start date</labl>
  <imputation>Average maximum temperature 17 months before survey start date</imputation>
  <security>Average maximum temperature 17 months before survey start date</security>
  <embargo>Average maximum temperature 17 months before survey start date</embargo>
  <respUnit>Average maximum temperature 17 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_16" name="W_TEMPMAX_16" files="W" intrvl="discrete">
  <labl>Average maximum temperature 16 months before survey start date</labl>
  <imputation>Average maximum temperature 16 months before survey start date</imputation>
  <security>Average maximum temperature 16 months before survey start date</security>
  <embargo>Average maximum temperature 16 months before survey start date</embargo>
  <respUnit>Average maximum temperature 16 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_15" name="W_TEMPMAX_15" files="W" intrvl="discrete">
  <labl>Average maximum temperature 15 months before survey start date</labl>
  <imputation>Average maximum temperature 15 months before survey start date</imputation>
  <security>Average maximum temperature 15 months before survey start date</security>
  <embargo>Average maximum temperature 15 months before survey start date</embargo>
  <respUnit>Average maximum temperature 15 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_14" name="W_TEMPMAX_14" files="W" intrvl="discrete">
  <labl>Average maximum temperature 14 months before survey start date</labl>
  <imputation>Average maximum temperature 14 months before survey start date</imputation>
  <security>Average maximum temperature 14 months before survey start date</security>
  <embargo>Average maximum temperature 14 months before survey start date</embargo>
  <respUnit>Average maximum temperature 14 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_13" name="W_TEMPMAX_13" files="W" intrvl="discrete">
  <labl>Average maximum temperature 13 months before survey start date</labl>
  <imputation>Average maximum temperature 13 months before survey start date</imputation>
  <security>Average maximum temperature 13 months before survey start date</security>
  <embargo>Average maximum temperature 13 months before survey start date</embargo>
  <respUnit>Average maximum temperature 13 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_12" name="W_TEMPMAX_12" files="W" intrvl="discrete">
  <labl>Average maximum temperature 12 months before survey start date</labl>
  <imputation>Average maximum temperature 12 months before survey start date</imputation>
  <security>Average maximum temperature 12 months before survey start date</security>
  <embargo>Average maximum temperature 12 months before survey start date</embargo>
  <respUnit>Average maximum temperature 12 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_11" name="W_TEMPMAX_11" files="W" intrvl="discrete">
  <labl>Average maximum temperature 11 months before survey start date</labl>
  <imputation>Average maximum temperature 11 months before survey start date</imputation>
  <security>Average maximum temperature 11 months before survey start date</security>
  <embargo>Average maximum temperature 11 months before survey start date</embargo>
  <respUnit>Average maximum temperature 11 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_10" name="W_TEMPMAX_10" files="W" intrvl="discrete">
  <labl>Average maximum temperature 10 months before survey start date</labl>
  <imputation>Average maximum temperature 10 months before survey start date</imputation>
  <security>Average maximum temperature 10 months before survey start date</security>
  <embargo>Average maximum temperature 10 months before survey start date</embargo>
  <respUnit>Average maximum temperature 10 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_09" name="W_TEMPMAX_09" files="W" intrvl="discrete">
  <labl>Average maximum temperature 9 months before survey start date</labl>
  <imputation>Average maximum temperature 9 months before survey start date</imputation>
  <security>Average maximum temperature 9 months before survey start date</security>
  <embargo>Average maximum temperature 9 months before survey start date</embargo>
  <respUnit>Average maximum temperature 9 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_08" name="W_TEMPMAX_08" files="W" intrvl="discrete">
  <labl>Average maximum temperature 8 months before survey start date</labl>
  <imputation>Average maximum temperature 8 months before survey start date</imputation>
  <security>Average maximum temperature 8 months before survey start date</security>
  <embargo>Average maximum temperature 8 months before survey start date</embargo>
  <respUnit>Average maximum temperature 8 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_07" name="W_TEMPMAX_07" files="W" intrvl="discrete">
  <labl>Average maximum temperature 7 months before survey start date</labl>
  <imputation>Average maximum temperature 7 months before survey start date</imputation>
  <security>Average maximum temperature 7 months before survey start date</security>
  <embargo>Average maximum temperature 7 months before survey start date</embargo>
  <respUnit>Average maximum temperature 7 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_06" name="W_TEMPMAX_06" files="W" intrvl="discrete">
  <labl>Average maximum temperature 6 months before survey start date</labl>
  <imputation>Average maximum temperature 6 months before survey start date</imputation>
  <security>Average maximum temperature 6 months before survey start date</security>
  <embargo>Average maximum temperature 6 months before survey start date</embargo>
  <respUnit>Average maximum temperature 6 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_05" name="W_TEMPMAX_05" files="W" intrvl="discrete">
  <labl>Average maximum temperature 5 months before survey start date</labl>
  <imputation>Average maximum temperature 5 months before survey start date</imputation>
  <security>Average maximum temperature 5 months before survey start date</security>
  <embargo>Average maximum temperature 5 months before survey start date</embargo>
  <respUnit>Average maximum temperature 5 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_04" name="W_TEMPMAX_04" files="W" intrvl="discrete">
  <labl>Average maximum temperature 4 months before survey start date</labl>
  <imputation>Average maximum temperature 4 months before survey start date</imputation>
  <security>Average maximum temperature 4 months before survey start date</security>
  <embargo>Average maximum temperature 4 months before survey start date</embargo>
  <respUnit>Average maximum temperature 4 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_03" name="W_TEMPMAX_03" files="W" intrvl="discrete">
  <labl>Average maximum temperature 3 months before survey start date</labl>
  <imputation>Average maximum temperature 3 months before survey start date</imputation>
  <security>Average maximum temperature 3 months before survey start date</security>
  <embargo>Average maximum temperature 3 months before survey start date</embargo>
  <respUnit>Average maximum temperature 3 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_02" name="W_TEMPMAX_02" files="W" intrvl="discrete">
  <labl>Average maximum temperature 2 months before survey start date</labl>
  <imputation>Average maximum temperature 2 months before survey start date</imputation>
  <security>Average maximum temperature 2 months before survey start date</security>
  <embargo>Average maximum temperature 2 months before survey start date</embargo>
  <respUnit>Average maximum temperature 2 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_01" name="W_TEMPMAX_01" files="W" intrvl="discrete">
  <labl>Average maximum temperature 1 month before survey start date</labl>
  <imputation>Average maximum temperature 1 month before survey start date</imputation>
  <security>Average maximum temperature 1 month before survey start date</security>
  <embargo>Average maximum temperature 1 month before survey start date</embargo>
  <respUnit>Average maximum temperature 1 month before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_00" name="W_TEMPMAX_00" files="W" intrvl="discrete">
  <labl>Average maximum temperature month of survey start date</labl>
  <imputation>Average maximum temperature month of survey start date</imputation>
  <security>Average maximum temperature month of survey start date</security>
  <embargo>Average maximum temperature month of survey start date</embargo>
  <respUnit>Average maximum temperature month of survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_A01" name="W_TEMPMAX_A01" files="W" intrvl="discrete">
  <labl>Average maximum temperature 1 month after survey start date</labl>
  <imputation>Average maximum temperature 1 month after survey start date</imputation>
  <security>Average maximum temperature 1 month after survey start date</security>
  <embargo>Average maximum temperature 1 month after survey start date</embargo>
  <respUnit>Average maximum temperature 1 month after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_A02" name="W_TEMPMAX_A02" files="W" intrvl="discrete">
  <labl>Average maximum temperature 2 months after survey start date</labl>
  <imputation>Average maximum temperature 2 months after survey start date</imputation>
  <security>Average maximum temperature 2 months after survey start date</security>
  <embargo>Average maximum temperature 2 months after survey start date</embargo>
  <respUnit>Average maximum temperature 2 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_A03" name="W_TEMPMAX_A03" files="W" intrvl="discrete">
  <labl>Average maximum temperature 3 months after survey start date</labl>
  <imputation>Average maximum temperature 3 months after survey start date</imputation>
  <security>Average maximum temperature 3 months after survey start date</security>
  <embargo>Average maximum temperature 3 months after survey start date</embargo>
  <respUnit>Average maximum temperature 3 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_A04" name="W_TEMPMAX_A04" files="W" intrvl="discrete">
  <labl>Average maximum temperature 4 months after survey start date</labl>
  <imputation>Average maximum temperature 4 months after survey start date</imputation>
  <security>Average maximum temperature 4 months after survey start date</security>
  <embargo>Average maximum temperature 4 months after survey start date</embargo>
  <respUnit>Average maximum temperature 4 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_A05" name="W_TEMPMAX_A05" files="W" intrvl="discrete">
  <labl>Average maximum temperature 5 months after survey start date</labl>
  <imputation>Average maximum temperature 5 months after survey start date</imputation>
  <security>Average maximum temperature 5 months after survey start date</security>
  <embargo>Average maximum temperature 5 months after survey start date</embargo>
  <respUnit>Average maximum temperature 5 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_A06" name="W_TEMPMAX_A06" files="W" intrvl="discrete">
  <labl>Average maximum temperature 6 months after survey start date</labl>
  <imputation>Average maximum temperature 6 months after survey start date</imputation>
  <security>Average maximum temperature 6 months after survey start date</security>
  <embargo>Average maximum temperature 6 months after survey start date</embargo>
  <respUnit>Average maximum temperature 6 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_A07" name="W_TEMPMAX_A07" files="W" intrvl="discrete">
  <labl>Average maximum temperature 7 months after survey start date</labl>
  <imputation>Average maximum temperature 7 months after survey start date</imputation>
  <security>Average maximum temperature 7 months after survey start date</security>
  <embargo>Average maximum temperature 7 months after survey start date</embargo>
  <respUnit>Average maximum temperature 7 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_A08" name="W_TEMPMAX_A08" files="W" intrvl="discrete">
  <labl>Average maximum temperature 8 months after survey start date</labl>
  <imputation>Average maximum temperature 8 months after survey start date</imputation>
  <security>Average maximum temperature 8 months after survey start date</security>
  <embargo>Average maximum temperature 8 months after survey start date</embargo>
  <respUnit>Average maximum temperature 8 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_A09" name="W_TEMPMAX_A09" files="W" intrvl="discrete">
  <labl>Average maximum temperature 9 months after survey start date</labl>
  <imputation>Average maximum temperature 9 months after survey start date</imputation>
  <security>Average maximum temperature 9 months after survey start date</security>
  <embargo>Average maximum temperature 9 months after survey start date</embargo>
  <respUnit>Average maximum temperature 9 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_A10" name="W_TEMPMAX_A10" files="W" intrvl="discrete">
  <labl>Average maximum temperature 10 months after survey start date</labl>
  <imputation>Average maximum temperature 10 months after survey start date</imputation>
  <security>Average maximum temperature 10 months after survey start date</security>
  <embargo>Average maximum temperature 10 months after survey start date</embargo>
  <respUnit>Average maximum temperature 10 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_TEMPMAX_A11" name="W_TEMPMAX_A11" files="W" intrvl="discrete">
  <labl>Average maximum temperature 11 months after survey start date</labl>
  <imputation>Average maximum temperature 11 months after survey start date</imputation>
  <security>Average maximum temperature 11 months after survey start date</security>
  <embargo>Average maximum temperature 11 months after survey start date</embargo>
  <respUnit>Average maximum temperature 11 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_POPDENSITY" name="W_POPDENSITY" files="W" intrvl="discrete">
  <labl>Population density quinquennial time-series (2000-2020)</labl>
  <imputation>Population density quinquennial time-series (2000-2020)</imputation>
  <security>Population density quinquennial time-series (2000-2020)</security>
  <embargo>Population density quinquennial time-series (2000-2020)</embargo>
  <respUnit>Population density quinquennial time-series (2000-2020)</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>POPDENSITY available</labl>
  </catgry>
  <txt>POPDENSITY consists of a set of 5 separate variables. These variables report the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2000, 2005, 2010, 2015, and 2020. By adding POPDENSITY to your data cart, you are in effect adding 5 separate variables (POPDENSITY_2000 - POPDENSITY_2020), one variable for each month. Values for POPDENSITY are based onÂ population projections from the results of the 2000 and 2010 rounds of censuses.

POPDENSITY variables can be used as indicators of urban versus rural status, with the cut-off levels for these categories decided by the researcher, for greater consistency in measurement than the DHS URBAN variable. 

POPDENSITY, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_POPDENSITY_2000" name="W_POPDENSITY_2000" files="W" intrvl="discrete">
  <labl>Population density 2000</labl>
  <imputation>Population density 2000</imputation>
  <security>Population density 2000</security>
  <embargo>Population density 2000</embargo>
  <respUnit>Population density 2000</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POPDENSITY_2000 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2000. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2000 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2000 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2000  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_POPDENSITY_2005" name="W_POPDENSITY_2005" files="W" intrvl="discrete">
  <labl>Population density 2005</labl>
  <imputation>Population density 2005</imputation>
  <security>Population density 2005</security>
  <embargo>Population density 2005</embargo>
  <respUnit>Population density 2005</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POPDENSITY_2005 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2005. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2005 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2005 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2005  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_POPDENSITY_2010" name="W_POPDENSITY_2010" files="W" intrvl="discrete">
  <labl>Population density 2010</labl>
  <imputation>Population density 2010</imputation>
  <security>Population density 2010</security>
  <embargo>Population density 2010</embargo>
  <respUnit>Population density 2010</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POPDENSITY_2010 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2010. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2010 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2010 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2010  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_POPDENSITY_2015" name="W_POPDENSITY_2015" files="W" intrvl="discrete">
  <labl>Population density 2015</labl>
  <imputation>Population density 2015</imputation>
  <security>Population density 2015</security>
  <embargo>Population density 2015</embargo>
  <respUnit>Population density 2015</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POPDENSITY_2015 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2015. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2015 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2015 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2015  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_POPDENSITY_2020" name="W_POPDENSITY_2020" files="W" intrvl="discrete">
  <labl>Population density 2020</labl>
  <imputation>Population density 2020</imputation>
  <security>Population density 2020</security>
  <embargo>Population density 2020</embargo>
  <respUnit>Population density 2020</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POPDENSITY_2020 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2020. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2020 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2020 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. Values for POPDENSITY_2020 are based on population projections from the results of the 2010 round of censuses, which occurred between 2005 and 2014.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2020  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BARLEY_H" name="W_BARLEY_H" files="W" intrvl="discrete">
  <labl>Harvested area barley (in 2000)</labl>
  <imputation>Harvested area barley (in 2000)</imputation>
  <security>Harvested area barley (in 2000)</security>
  <embargo>Harvested area barley (in 2000)</embargo>
  <respUnit>Harvested area barley (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>BARLEY_H reports total harvested area dedicated to barley, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in BARLEY_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable BARLEY_P reports total crop production of barley, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

BARLEY_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CASSAVA_H" name="W_CASSAVA_H" files="W" intrvl="discrete">
  <labl>Harvested area cassava (in 2000)</labl>
  <imputation>Harvested area cassava (in 2000)</imputation>
  <security>Harvested area cassava (in 2000)</security>
  <embargo>Harvested area cassava (in 2000)</embargo>
  <respUnit>Harvested area cassava (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>CASSAVA_H reports total harvested area dedicated to cassava, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in CASSAVA_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable CASSAVA_P reports total crop production of cassava, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

CASSAVA_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_COTTON_H" name="W_COTTON_H" files="W" intrvl="discrete">
  <labl>Harvested area cotton (in 2000)</labl>
  <imputation>Harvested area cotton (in 2000)</imputation>
  <security>Harvested area cotton (in 2000)</security>
  <embargo>Harvested area cotton (in 2000)</embargo>
  <respUnit>Harvested area cotton (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>COTTON_H reports total harvested area dedicated to cotton, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in COTTON_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable COTTON_P reports total crop production of cotton, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

COTTON_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_GROUNDNUT_H" name="W_GROUNDNUT_H" files="W" intrvl="discrete">
  <labl>Harvested area groundnuts (in 2000)</labl>
  <imputation>Harvested area groundnuts (in 2000)</imputation>
  <security>Harvested area groundnuts (in 2000)</security>
  <embargo>Harvested area groundnuts (in 2000)</embargo>
  <respUnit>Harvested area groundnuts (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>GROUNDNUT_H reports total harvested area dedicated to groundnuts, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in GROUNDNUT_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable GROUNDNUT_P reports total crop production of groundnuts, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

GROUNDNUT_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_MAIZE_H" name="W_MAIZE_H" files="W" intrvl="discrete">
  <labl>Harvested area maize (in 2000)</labl>
  <imputation>Harvested area maize (in 2000)</imputation>
  <security>Harvested area maize (in 2000)</security>
  <embargo>Harvested area maize (in 2000)</embargo>
  <respUnit>Harvested area maize (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>MAIZE_H reports total harvested area dedicated to maize, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in MAIZE_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable MAIZE_P reports total crop production of maize, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

MAIZE_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_MILLET_H" name="W_MILLET_H" files="W" intrvl="discrete">
  <labl>Harvested area millet (in 2000)</labl>
  <imputation>Harvested area millet (in 2000)</imputation>
  <security>Harvested area millet (in 2000)</security>
  <embargo>Harvested area millet (in 2000)</embargo>
  <respUnit>Harvested area millet (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>MILLET_H reports total harvested area dedicated to millet, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in MILLET_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable MILLET_P reports total crop production of millet, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

MILLET_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_OILPALM_H" name="W_OILPALM_H" files="W" intrvl="discrete">
  <labl>Harvested area oilpalm (in 2000)</labl>
  <imputation>Harvested area oilpalm (in 2000)</imputation>
  <security>Harvested area oilpalm (in 2000)</security>
  <embargo>Harvested area oilpalm (in 2000)</embargo>
  <respUnit>Harvested area oilpalm (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>OILPALM_H reports total harvested area dedicated to oil palm, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in OILPALM_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable OILPALM_P reports total crop production of oil palm, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

OILPALM_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_POTATO_H" name="W_POTATO_H" files="W" intrvl="discrete">
  <labl>Harvested area potatoes (in 2000)</labl>
  <imputation>Harvested area potatoes (in 2000)</imputation>
  <security>Harvested area potatoes (in 2000)</security>
  <embargo>Harvested area potatoes (in 2000)</embargo>
  <respUnit>Harvested area potatoes (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POTATO_H reports total harvested area dedicated to potatoes, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in POTATO_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable POTATO_P reports total crop production of potatoes, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

POTATO_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_RAPESEED_H" name="W_RAPESEED_H" files="W" intrvl="discrete">
  <labl>Harvested area rapeseed (in 2000)</labl>
  <imputation>Harvested area rapeseed (in 2000)</imputation>
  <security>Harvested area rapeseed (in 2000)</security>
  <embargo>Harvested area rapeseed (in 2000)</embargo>
  <respUnit>Harvested area rapeseed (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RAPESEED_H reports total harvested area dedicated to rapeseed, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in RAPESEED_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable RAPESEED_P reports total crop production of rapeseed, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RAPESEED_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_RICE_H" name="W_RICE_H" files="W" intrvl="discrete">
  <labl>Harvested area rice (in 2000)</labl>
  <imputation>Harvested area rice (in 2000)</imputation>
  <security>Harvested area rice (in 2000)</security>
  <embargo>Harvested area rice (in 2000)</embargo>
  <respUnit>Harvested area rice (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RICE_H reports total harvested area dedicated to rice, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in RICE_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable RICE_P reports total crop production of rice, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RICE_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_SORGHUM_H" name="W_SORGHUM_H" files="W" intrvl="discrete">
  <labl>Harvested area sorghum (in 2000)</labl>
  <imputation>Harvested area sorghum (in 2000)</imputation>
  <security>Harvested area sorghum (in 2000)</security>
  <embargo>Harvested area sorghum (in 2000)</embargo>
  <respUnit>Harvested area sorghum (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SORGHUM_H reports total harvested area dedicated to sorghum, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in SORGHUM_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable SORGHUM_P reports total crop production of sorghum, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SORGHUM_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_SOYBEAN_H" name="W_SOYBEAN_H" files="W" intrvl="discrete">
  <labl>Harvested area soybeans (in 2000)</labl>
  <imputation>Harvested area soybeans (in 2000)</imputation>
  <security>Harvested area soybeans (in 2000)</security>
  <embargo>Harvested area soybeans (in 2000)</embargo>
  <respUnit>Harvested area soybeans (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SOYBEAN_H reports total harvested area dedicated to soybeans, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in SOYBEAN_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable SOYBEAN_P reports total crop production of soybean, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SOYBEAN_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_SUGARBEET_H" name="W_SUGARBEET_H" files="W" intrvl="discrete">
  <labl>Harvested area sugarbeets (in 2000)</labl>
  <imputation>Harvested area sugarbeets (in 2000)</imputation>
  <security>Harvested area sugarbeets (in 2000)</security>
  <embargo>Harvested area sugarbeets (in 2000)</embargo>
  <respUnit>Harvested area sugarbeets (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUGARBEET_H reports total harvested area dedicated to sugar beets, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUGARBEET_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable SUGARBEET_P reports total crop production of sugar beets, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUGARBEET_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_SUGARCANE_H" name="W_SUGARCANE_H" files="W" intrvl="discrete">
  <labl>Harvested area sugarcane (in 2000)</labl>
  <imputation>Harvested area sugarcane (in 2000)</imputation>
  <security>Harvested area sugarcane (in 2000)</security>
  <embargo>Harvested area sugarcane (in 2000)</embargo>
  <respUnit>Harvested area sugarcane (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUGARCANE_H reports total harvested area dedicated to sugar cane, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUGARCANE_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable SUGARCANE_P reports total crop production of sugar cane, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUGARCANE_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_SUNFLOWER_H" name="W_SUNFLOWER_H" files="W" intrvl="discrete">
  <labl>Harvested area sunflowers (in 2000)</labl>
  <imputation>Harvested area sunflowers (in 2000)</imputation>
  <security>Harvested area sunflowers (in 2000)</security>
  <embargo>Harvested area sunflowers (in 2000)</embargo>
  <respUnit>Harvested area sunflowers (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUNFLOWER_H reports total harvested area dedicated to sunflowers, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUNFLOWER_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable SUNFLOWER_P reports total crop production of sunflowers, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUNFLOWER_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WHEAT_H" name="W_WHEAT_H" files="W" intrvl="discrete">
  <labl>Harvested area wheat (in 2000)</labl>
  <imputation>Harvested area wheat (in 2000)</imputation>
  <security>Harvested area wheat (in 2000)</security>
  <embargo>Harvested area wheat (in 2000)</embargo>
  <respUnit>Harvested area wheat (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>WHEAT_H reports total harvested area dedicated to wheat, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in WHEAT_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable WHEAT_P reports total crop production of wheat, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

WHEAT_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_RYE_H" name="W_RYE_H" files="W" intrvl="discrete">
  <labl>Harvested area rye (in 2000)</labl>
  <imputation>Harvested area rye (in 2000)</imputation>
  <security>Harvested area rye (in 2000)</security>
  <embargo>Harvested area rye (in 2000)</embargo>
  <respUnit>Harvested area rye (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RYE_H reports total harvested area dedicated to rye, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in RYE_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable RYE_P reports total crop production of rye, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RYE_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_BARLEY_P" name="W_BARLEY_P" files="W" intrvl="discrete">
  <labl>Total barley production (in 2000)</labl>
  <imputation>Total barley production (in 2000)</imputation>
  <security>Total barley production (in 2000)</security>
  <embargo>Total barley production (in 2000)</embargo>
  <respUnit>Total barley production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>BARLEY_P reports the total crop production of barley, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in BARLEY_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable BARLEY_H reports the total harvested area dedicated to barley, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

BARLEY_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_CASSAVA_P" name="W_CASSAVA_P" files="W" intrvl="discrete">
  <labl>Total cassava production (in 2000)</labl>
  <imputation>Total cassava production (in 2000)</imputation>
  <security>Total cassava production (in 2000)</security>
  <embargo>Total cassava production (in 2000)</embargo>
  <respUnit>Total cassava production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>CASSAVA_P reports the total crop production of cassava, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in CASSAVA_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable CASSAVA_H reports the total harvested area dedicated to cassava, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

CASSAVA_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_COTTON_P" name="W_COTTON_P" files="W" intrvl="discrete">
  <labl>Total cotton production (in 2000)</labl>
  <imputation>Total cotton production (in 2000)</imputation>
  <security>Total cotton production (in 2000)</security>
  <embargo>Total cotton production (in 2000)</embargo>
  <respUnit>Total cotton production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>COTTON_P reports the total crop production of cotton, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in COTTON_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable COTTON_H reports the total harvested area dedicated to cotton, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

COTTON_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_GROUNDNUT_P" name="W_GROUNDNUT_P" files="W" intrvl="discrete">
  <labl>Total groundnut production (in 2000)</labl>
  <imputation>Total groundnut production (in 2000)</imputation>
  <security>Total groundnut production (in 2000)</security>
  <embargo>Total groundnut production (in 2000)</embargo>
  <respUnit>Total groundnut production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>GROUNDNUT_P reports the total crop production of groundnuts, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in GROUNDNUT_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable GROUNDNUT_H reports the total harvested area dedicated to groundnuts, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

GROUNDNUT_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_MAIZE_P" name="W_MAIZE_P" files="W" intrvl="discrete">
  <labl>Total maize production (in 2000)</labl>
  <imputation>Total maize production (in 2000)</imputation>
  <security>Total maize production (in 2000)</security>
  <embargo>Total maize production (in 2000)</embargo>
  <respUnit>Total maize production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>MAIZE_P reports the total crop production of maize, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in MAIZE_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable MAIZE_H reports the total harvested area dedicated to maize, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

MAIZE_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_MILLET_P" name="W_MILLET_P" files="W" intrvl="discrete">
  <labl>Total millet production (in 2000)</labl>
  <imputation>Total millet production (in 2000)</imputation>
  <security>Total millet production (in 2000)</security>
  <embargo>Total millet production (in 2000)</embargo>
  <respUnit>Total millet production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>MILLET_P reports the total crop production of millet, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in MILLET_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable MILLET_H reports the total harvested area dedicated to millet, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

MILLET_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_OILPALM_P" name="W_OILPALM_P" files="W" intrvl="discrete">
  <labl>Total oilpalm production (in 2000)</labl>
  <imputation>Total oilpalm production (in 2000)</imputation>
  <security>Total oilpalm production (in 2000)</security>
  <embargo>Total oilpalm production (in 2000)</embargo>
  <respUnit>Total oilpalm production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>OILPALM_P reports the total crop production of oil palm, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in OILPALM_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable OILPALM_H reports the total harvested area dedicated to oil palm, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

OILPALM_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_POTATO_P" name="W_POTATO_P" files="W" intrvl="discrete">
  <labl>Total potato production (in 2000)</labl>
  <imputation>Total potato production (in 2000)</imputation>
  <security>Total potato production (in 2000)</security>
  <embargo>Total potato production (in 2000)</embargo>
  <respUnit>Total potato production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POTATO_P reports the total crop production of potatoes, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in POTATO_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable POTATO_H reports the total harvested area dedicated to potatoes, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

POTATO_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_RAPESEED_P" name="W_RAPESEED_P" files="W" intrvl="discrete">
  <labl>Total rapeseed production (in 2000)</labl>
  <imputation>Total rapeseed production (in 2000)</imputation>
  <security>Total rapeseed production (in 2000)</security>
  <embargo>Total rapeseed production (in 2000)</embargo>
  <respUnit>Total rapeseed production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RAPESEED_P reports the total crop production of rapeseed, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RAPESEED_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable RAPESEED_H reports the total harvested area dedicated to rapeseed, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RAPESEED_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_RICE_P" name="W_RICE_P" files="W" intrvl="discrete">
  <labl>Total rice production (in 2000)</labl>
  <imputation>Total rice production (in 2000)</imputation>
  <security>Total rice production (in 2000)</security>
  <embargo>Total rice production (in 2000)</embargo>
  <respUnit>Total rice production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RICE_P reports the total crop production of rice, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RICE_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable RICE_H reports the total harvested area dedicated to rice, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RICE_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_SORGHUM_P" name="W_SORGHUM_P" files="W" intrvl="discrete">
  <labl>Total sorghum production (in 2000)</labl>
  <imputation>Total sorghum production (in 2000)</imputation>
  <security>Total sorghum production (in 2000)</security>
  <embargo>Total sorghum production (in 2000)</embargo>
  <respUnit>Total sorghum production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SORGHUM_P reports the total crop production of sorghum, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SORGHUM_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable SORGHUM_H reports the total harvested area dedicated to sorghum, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SORGHUM_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_SOYBEAN_P" name="W_SOYBEAN_P" files="W" intrvl="discrete">
  <labl>Total soybean production (in 2000)</labl>
  <imputation>Total soybean production (in 2000)</imputation>
  <security>Total soybean production (in 2000)</security>
  <embargo>Total soybean production (in 2000)</embargo>
  <respUnit>Total soybean production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SOYBEAN_P reports the total crop production of soybeans, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SOYBEAN_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable SOYBEAN_H reports the total harvested area dedicated to soybeans, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SOYBEAN_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_SUGARBEET_P" name="W_SUGARBEET_P" files="W" intrvl="discrete">
  <labl>Total sugarbeet production (in 2000)</labl>
  <imputation>Total sugarbeet production (in 2000)</imputation>
  <security>Total sugarbeet production (in 2000)</security>
  <embargo>Total sugarbeet production (in 2000)</embargo>
  <respUnit>Total sugarbeet production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUGARBEET_P reports the total crop production of sugar beets, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUGARBEET_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable SUGARBEET_H reports the total harvested area dedicated to sugar beets, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUGARBEET_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_SUGARCANE_P" name="W_SUGARCANE_P" files="W" intrvl="discrete">
  <labl>Total sugarcane production (in 2000)</labl>
  <imputation>Total sugarcane production (in 2000)</imputation>
  <security>Total sugarcane production (in 2000)</security>
  <embargo>Total sugarcane production (in 2000)</embargo>
  <respUnit>Total sugarcane production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUGARCANE_P reports the total crop production of sugar cane, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUGARCANE_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable SUGARCANE_H reports the total harvested area dedicated to sugar cane, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUGARCANE_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_SUNFLOWER_P" name="W_SUNFLOWER_P" files="W" intrvl="discrete">
  <labl>Total sunflower production (in 2000)</labl>
  <imputation>Total sunflower production (in 2000)</imputation>
  <security>Total sunflower production (in 2000)</security>
  <embargo>Total sunflower production (in 2000)</embargo>
  <respUnit>Total sunflower production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUNFLOWER_P reports the total crop production of sunflowers, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUNFLOWER_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable SUNFLOWER_H reports the total harvested area dedicated to sunflowers, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUNFLOWER_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_WHEAT_P" name="W_WHEAT_P" files="W" intrvl="discrete">
  <labl>Total wheat production (in 2000)</labl>
  <imputation>Total wheat production (in 2000)</imputation>
  <security>Total wheat production (in 2000)</security>
  <embargo>Total wheat production (in 2000)</embargo>
  <respUnit>Total wheat production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>WHEAT_P reports the total crop production of wheat, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in WHEAT_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable WHEAT_H reports the total harvested area dedicated to wheat, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

WHEAT_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="W_RYE_P" name="W_RYE_P" files="W" intrvl="discrete">
  <labl>Total rye production (in 2000)</labl>
  <imputation>Total rye production (in 2000)</imputation>
  <security>Total rye production (in 2000)</security>
  <embargo>Total rye production (in 2000)</embargo>
  <respUnit>Total rye production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RYE_P reports the total crop production of rye, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RYE_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable RYE_H reports the total harvested area dedicated to rye, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RYE_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_SAMPLE" name="B_SAMPLE" files="B" intrvl="discrete">
  <labl>IPUMS-DHS sample identifier</labl>
  <imputation>IPUMS-DHS sample identifier</imputation>
  <security>IPUMS-DHS sample identifier</security>
  <embargo>IPUMS-DHS sample identifier</embargo>
  <respUnit>IPUMS-DHS sample identifier</respUnit>
  <catgry>
    <catValu>00101</catValu>
    <labl>Model 2015</labl>
  </catgry>
  <catgry>
    <catValu>00401</catValu>
    <labl>Afghanistan 2015</labl>
  </catgry>
  <catgry>
    <catValu>02401</catValu>
    <labl>Angola 2015</labl>
  </catgry>
  <catgry>
    <catValu>05001</catValu>
    <labl>Bangladesh 1994</labl>
  </catgry>
  <catgry>
    <catValu>05002</catValu>
    <labl>Bangladesh 1996-97</labl>
  </catgry>
  <catgry>
    <catValu>05003</catValu>
    <labl>Bangladesh 1999-00</labl>
  </catgry>
  <catgry>
    <catValu>05004</catValu>
    <labl>Bangladesh 2004</labl>
  </catgry>
  <catgry>
    <catValu>05005</catValu>
    <labl>Bangladesh 2007</labl>
  </catgry>
  <catgry>
    <catValu>05006</catValu>
    <labl>Bangladesh 2011</labl>
  </catgry>
  <catgry>
    <catValu>05007</catValu>
    <labl>Bangladesh 2014</labl>
  </catgry>
  <catgry>
    <catValu>10401</catValu>
    <labl>Myanmar 2015</labl>
  </catgry>
  <catgry>
    <catValu>10801</catValu>
    <labl>Burundi 1987</labl>
  </catgry>
  <catgry>
    <catValu>10802</catValu>
    <labl>Burundi 2010</labl>
  </catgry>
  <catgry>
    <catValu>10803</catValu>
    <labl>Burundi 2016</labl>
  </catgry>
  <catgry>
    <catValu>11601</catValu>
    <labl>Cambodia 2000</labl>
  </catgry>
  <catgry>
    <catValu>11602</catValu>
    <labl>Cambodia 2005</labl>
  </catgry>
  <catgry>
    <catValu>11603</catValu>
    <labl>Cambodia 2010</labl>
  </catgry>
  <catgry>
    <catValu>11604</catValu>
    <labl>Cambodia 2014</labl>
  </catgry>
  <catgry>
    <catValu>12001</catValu>
    <labl>Cameroon 1991</labl>
  </catgry>
  <catgry>
    <catValu>12002</catValu>
    <labl>Cameroon 1998</labl>
  </catgry>
  <catgry>
    <catValu>12003</catValu>
    <labl>Cameroon 2004</labl>
  </catgry>
  <catgry>
    <catValu>12004</catValu>
    <labl>Cameroon 2011</labl>
  </catgry>
  <catgry>
    <catValu>14801</catValu>
    <labl>Chad 1996-97</labl>
  </catgry>
  <catgry>
    <catValu>14802</catValu>
    <labl>Chad 2004</labl>
  </catgry>
  <catgry>
    <catValu>14803</catValu>
    <labl>Chad 2014</labl>
  </catgry>
  <catgry>
    <catValu>18001</catValu>
    <labl>Congo Democratic Republic 2007</labl>
  </catgry>
  <catgry>
    <catValu>18002</catValu>
    <labl>Congo Democratic Republic 2013-14</labl>
  </catgry>
  <catgry>
    <catValu>20401</catValu>
    <labl>Benin 1996</labl>
  </catgry>
  <catgry>
    <catValu>20402</catValu>
    <labl>Benin 2001</labl>
  </catgry>
  <catgry>
    <catValu>20403</catValu>
    <labl>Benin 2006</labl>
  </catgry>
  <catgry>
    <catValu>20404</catValu>
    <labl>Benin 2011</labl>
  </catgry>
  <catgry>
    <catValu>23101</catValu>
    <labl>Ethiopia 2000</labl>
  </catgry>
  <catgry>
    <catValu>23102</catValu>
    <labl>Ethiopia 2005</labl>
  </catgry>
  <catgry>
    <catValu>23103</catValu>
    <labl>Ethiopia 2011</labl>
  </catgry>
  <catgry>
    <catValu>23104</catValu>
    <labl>Ethiopia 2016</labl>
  </catgry>
  <catgry>
    <catValu>28801</catValu>
    <labl>Ghana 1988</labl>
  </catgry>
  <catgry>
    <catValu>28802</catValu>
    <labl>Ghana 1993</labl>
  </catgry>
  <catgry>
    <catValu>28803</catValu>
    <labl>Ghana 1998</labl>
  </catgry>
  <catgry>
    <catValu>28804</catValu>
    <labl>Ghana 2003</labl>
  </catgry>
  <catgry>
    <catValu>28805</catValu>
    <labl>Ghana 2008</labl>
  </catgry>
  <catgry>
    <catValu>28806</catValu>
    <labl>Ghana 2014</labl>
  </catgry>
  <catgry>
    <catValu>32001</catValu>
    <labl>Guatemala 1987</labl>
  </catgry>
  <catgry>
    <catValu>32002</catValu>
    <labl>Guatemala 1995</labl>
  </catgry>
  <catgry>
    <catValu>32003</catValu>
    <labl>Guatemala 2015</labl>
  </catgry>
  <catgry>
    <catValu>32401</catValu>
    <labl>Guinea 1999</labl>
  </catgry>
  <catgry>
    <catValu>32402</catValu>
    <labl>Guinea 2005</labl>
  </catgry>
  <catgry>
    <catValu>32403</catValu>
    <labl>Guinea 2012</labl>
  </catgry>
  <catgry>
    <catValu>35601</catValu>
    <labl>India 1992-93</labl>
  </catgry>
  <catgry>
    <catValu>35602</catValu>
    <labl>India 1998-99</labl>
  </catgry>
  <catgry>
    <catValu>35603</catValu>
    <labl>India 2005-06</labl>
  </catgry>
  <catgry>
    <catValu>35604</catValu>
    <labl>India 2015-16</labl>
  </catgry>
  <catgry>
    <catValu>38401</catValu>
    <labl>Cote d'Ivoire 1994</labl>
  </catgry>
  <catgry>
    <catValu>38402</catValu>
    <labl>Cote d'Ivoire 1998</labl>
  </catgry>
  <catgry>
    <catValu>38403</catValu>
    <labl>Cote d'Ivoire 2011</labl>
  </catgry>
  <catgry>
    <catValu>40001</catValu>
    <labl>Jordan 1990</labl>
  </catgry>
  <catgry>
    <catValu>40002</catValu>
    <labl>Jordan 1997</labl>
  </catgry>
  <catgry>
    <catValu>40003</catValu>
    <labl>Jordan 2002</labl>
  </catgry>
  <catgry>
    <catValu>40004</catValu>
    <labl>Jordan 2007</labl>
  </catgry>
  <catgry>
    <catValu>40005</catValu>
    <labl>Jordan 2009</labl>
  </catgry>
  <catgry>
    <catValu>40006</catValu>
    <labl>Jordan 2012</labl>
  </catgry>
  <catgry>
    <catValu>40007</catValu>
    <labl>Jordan 2017-18</labl>
  </catgry>
  <catgry>
    <catValu>40401</catValu>
    <labl>Kenya 1989</labl>
  </catgry>
  <catgry>
    <catValu>40402</catValu>
    <labl>Kenya 1993</labl>
  </catgry>
  <catgry>
    <catValu>40403</catValu>
    <labl>Kenya 1998</labl>
  </catgry>
  <catgry>
    <catValu>40404</catValu>
    <labl>Kenya 2003</labl>
  </catgry>
  <catgry>
    <catValu>40405</catValu>
    <labl>Kenya 2008-9</labl>
  </catgry>
  <catgry>
    <catValu>40406</catValu>
    <labl>Kenya 2014</labl>
  </catgry>
  <catgry>
    <catValu>42601</catValu>
    <labl>Lesotho 2004</labl>
  </catgry>
  <catgry>
    <catValu>42602</catValu>
    <labl>Lesotho 2009</labl>
  </catgry>
  <catgry>
    <catValu>42603</catValu>
    <labl>Lesotho 2014</labl>
  </catgry>
  <catgry>
    <catValu>45001</catValu>
    <labl>Madagascar 1992</labl>
  </catgry>
  <catgry>
    <catValu>45002</catValu>
    <labl>Madagascar 1997</labl>
  </catgry>
  <catgry>
    <catValu>45003</catValu>
    <labl>Madagascar 2003</labl>
  </catgry>
  <catgry>
    <catValu>45004</catValu>
    <labl>Madagascar 2008</labl>
  </catgry>
  <catgry>
    <catValu>45401</catValu>
    <labl>Malawi 1992</labl>
  </catgry>
  <catgry>
    <catValu>45402</catValu>
    <labl>Malawi 2000</labl>
  </catgry>
  <catgry>
    <catValu>45403</catValu>
    <labl>Malawi 2004</labl>
  </catgry>
  <catgry>
    <catValu>45404</catValu>
    <labl>Malawi 2010</labl>
  </catgry>
  <catgry>
    <catValu>45405</catValu>
    <labl>Malawi 2016</labl>
  </catgry>
  <catgry>
    <catValu>46601</catValu>
    <labl>Mali 1987</labl>
  </catgry>
  <catgry>
    <catValu>46602</catValu>
    <labl>Mali 1995-6</labl>
  </catgry>
  <catgry>
    <catValu>46603</catValu>
    <labl>Mali 2001</labl>
  </catgry>
  <catgry>
    <catValu>46604</catValu>
    <labl>Mali 2006</labl>
  </catgry>
  <catgry>
    <catValu>46605</catValu>
    <labl>Mali 2012</labl>
  </catgry>
  <catgry>
    <catValu>50401</catValu>
    <labl>Morocco 1987</labl>
  </catgry>
  <catgry>
    <catValu>50402</catValu>
    <labl>Morocco 1992</labl>
  </catgry>
  <catgry>
    <catValu>50403</catValu>
    <labl>Morocco 2003</labl>
  </catgry>
  <catgry>
    <catValu>50801</catValu>
    <labl>Mozambique 1997</labl>
  </catgry>
  <catgry>
    <catValu>50802</catValu>
    <labl>Mozambique 2003</labl>
  </catgry>
  <catgry>
    <catValu>50803</catValu>
    <labl>Mozambique 2011</labl>
  </catgry>
  <catgry>
    <catValu>51601</catValu>
    <labl>Namibia 1992</labl>
  </catgry>
  <catgry>
    <catValu>51602</catValu>
    <labl>Namibia 2000</labl>
  </catgry>
  <catgry>
    <catValu>51603</catValu>
    <labl>Namibia 2006</labl>
  </catgry>
  <catgry>
    <catValu>51604</catValu>
    <labl>Namibia 2013</labl>
  </catgry>
  <catgry>
    <catValu>52401</catValu>
    <labl>Nepal 1996</labl>
  </catgry>
  <catgry>
    <catValu>52402</catValu>
    <labl>Nepal 2001</labl>
  </catgry>
  <catgry>
    <catValu>52403</catValu>
    <labl>Nepal 2006</labl>
  </catgry>
  <catgry>
    <catValu>52404</catValu>
    <labl>Nepal 2011</labl>
  </catgry>
  <catgry>
    <catValu>52405</catValu>
    <labl>Nepal 2016</labl>
  </catgry>
  <catgry>
    <catValu>56201</catValu>
    <labl>Niger 1992</labl>
  </catgry>
  <catgry>
    <catValu>56202</catValu>
    <labl>Niger 1998</labl>
  </catgry>
  <catgry>
    <catValu>56203</catValu>
    <labl>Niger 2006</labl>
  </catgry>
  <catgry>
    <catValu>56204</catValu>
    <labl>Niger 2012</labl>
  </catgry>
  <catgry>
    <catValu>56601</catValu>
    <labl>Nigeria 1990</labl>
  </catgry>
  <catgry>
    <catValu>56602</catValu>
    <labl>Nigeria 1999</labl>
  </catgry>
  <catgry>
    <catValu>56603</catValu>
    <labl>Nigeria 2003</labl>
  </catgry>
  <catgry>
    <catValu>56604</catValu>
    <labl>Nigeria 2008</labl>
  </catgry>
  <catgry>
    <catValu>56605</catValu>
    <labl>Nigeria 2013</labl>
  </catgry>
  <catgry>
    <catValu>58601</catValu>
    <labl>Pakistan 1990-91</labl>
  </catgry>
  <catgry>
    <catValu>58602</catValu>
    <labl>Pakistan 2006-07</labl>
  </catgry>
  <catgry>
    <catValu>58603</catValu>
    <labl>Pakistan 2012-13</labl>
  </catgry>
  <catgry>
    <catValu>58604</catValu>
    <labl>Pakistan 2017-18</labl>
  </catgry>
  <catgry>
    <catValu>60401</catValu>
    <labl>Peru 1991-92</labl>
  </catgry>
  <catgry>
    <catValu>60402</catValu>
    <labl>Peru 1996</labl>
  </catgry>
  <catgry>
    <catValu>60403</catValu>
    <labl>Peru 2000</labl>
  </catgry>
  <catgry>
    <catValu>60404</catValu>
    <labl>Peru 2004-08</labl>
  </catgry>
  <catgry>
    <catValu>60405</catValu>
    <labl>Peru 2010</labl>
  </catgry>
  <catgry>
    <catValu>60406</catValu>
    <labl>Peru 2011</labl>
  </catgry>
  <catgry>
    <catValu>60407</catValu>
    <labl>Peru 2012</labl>
  </catgry>
  <catgry>
    <catValu>64601</catValu>
    <labl>Rwanda 1992</labl>
  </catgry>
  <catgry>
    <catValu>64602</catValu>
    <labl>Rwanda 2000</labl>
  </catgry>
  <catgry>
    <catValu>64603</catValu>
    <labl>Rwanda 2005</labl>
  </catgry>
  <catgry>
    <catValu>64604</catValu>
    <labl>Rwanda 2010</labl>
  </catgry>
  <catgry>
    <catValu>64605</catValu>
    <labl>Rwanda 2014</labl>
  </catgry>
  <catgry>
    <catValu>68601</catValu>
    <labl>Senegal 1986</labl>
  </catgry>
  <catgry>
    <catValu>68602</catValu>
    <labl>Senegal 1992-93</labl>
  </catgry>
  <catgry>
    <catValu>68603</catValu>
    <labl>Senegal 1997</labl>
  </catgry>
  <catgry>
    <catValu>68604</catValu>
    <labl>Senegal 2005</labl>
  </catgry>
  <catgry>
    <catValu>68605</catValu>
    <labl>Senegal 2010-11</labl>
  </catgry>
  <catgry>
    <catValu>68606</catValu>
    <labl>Senegal 2012-13</labl>
  </catgry>
  <catgry>
    <catValu>68607</catValu>
    <labl>Senegal 2014</labl>
  </catgry>
  <catgry>
    <catValu>68608</catValu>
    <labl>Senegal 2015</labl>
  </catgry>
  <catgry>
    <catValu>68609</catValu>
    <labl>Senegal 2016</labl>
  </catgry>
  <catgry>
    <catValu>68610</catValu>
    <labl>Senegal 2017</labl>
  </catgry>
  <catgry>
    <catValu>71001</catValu>
    <labl>South Africa 1998</labl>
  </catgry>
  <catgry>
    <catValu>71002</catValu>
    <labl>South Africa 2016</labl>
  </catgry>
  <catgry>
    <catValu>71601</catValu>
    <labl>Zimbabwe 1988</labl>
  </catgry>
  <catgry>
    <catValu>71602</catValu>
    <labl>Zimbabwe 1994</labl>
  </catgry>
  <catgry>
    <catValu>71603</catValu>
    <labl>Zimbabwe 1999</labl>
  </catgry>
  <catgry>
    <catValu>71604</catValu>
    <labl>Zimbabwe 2005-6</labl>
  </catgry>
  <catgry>
    <catValu>71605</catValu>
    <labl>Zimbabwe 2010-11</labl>
  </catgry>
  <catgry>
    <catValu>71606</catValu>
    <labl>Zimbabwe 2015</labl>
  </catgry>
  <catgry>
    <catValu>72901</catValu>
    <labl>Sudan 1989-90</labl>
  </catgry>
  <catgry>
    <catValu>78801</catValu>
    <labl>Tunisia 1988</labl>
  </catgry>
  <catgry>
    <catValu>79201</catValu>
    <labl>Turkey 1993</labl>
  </catgry>
  <catgry>
    <catValu>79202</catValu>
    <labl>Turkey 1998</labl>
  </catgry>
  <catgry>
    <catValu>79203</catValu>
    <labl>Turkey 2003</labl>
  </catgry>
  <catgry>
    <catValu>80001</catValu>
    <labl>Uganda 1988</labl>
  </catgry>
  <catgry>
    <catValu>80002</catValu>
    <labl>Uganda 1995</labl>
  </catgry>
  <catgry>
    <catValu>80003</catValu>
    <labl>Uganda 2001</labl>
  </catgry>
  <catgry>
    <catValu>80004</catValu>
    <labl>Uganda 2006</labl>
  </catgry>
  <catgry>
    <catValu>80005</catValu>
    <labl>Uganda 2011</labl>
  </catgry>
  <catgry>
    <catValu>80006</catValu>
    <labl>Uganda 2016</labl>
  </catgry>
  <catgry>
    <catValu>81801</catValu>
    <labl>Egypt 1988</labl>
  </catgry>
  <catgry>
    <catValu>81802</catValu>
    <labl>Egypt 1992</labl>
  </catgry>
  <catgry>
    <catValu>81803</catValu>
    <labl>Egypt 1995</labl>
  </catgry>
  <catgry>
    <catValu>81804</catValu>
    <labl>Egypt 2000</labl>
  </catgry>
  <catgry>
    <catValu>81805</catValu>
    <labl>Egypt 2005</labl>
  </catgry>
  <catgry>
    <catValu>81806</catValu>
    <labl>Egypt 2008</labl>
  </catgry>
  <catgry>
    <catValu>81807</catValu>
    <labl>Egypt 2014</labl>
  </catgry>
  <catgry>
    <catValu>83401</catValu>
    <labl>Tanzania 1991</labl>
  </catgry>
  <catgry>
    <catValu>83402</catValu>
    <labl>Tanzania 1996</labl>
  </catgry>
  <catgry>
    <catValu>83403</catValu>
    <labl>Tanzania 1999</labl>
  </catgry>
  <catgry>
    <catValu>83404</catValu>
    <labl>Tanzania 2004</labl>
  </catgry>
  <catgry>
    <catValu>83405</catValu>
    <labl>Tanzania 2010</labl>
  </catgry>
  <catgry>
    <catValu>83406</catValu>
    <labl>Tanzania 2015</labl>
  </catgry>
  <catgry>
    <catValu>85401</catValu>
    <labl>Burkina Faso 1993</labl>
  </catgry>
  <catgry>
    <catValu>85402</catValu>
    <labl>Burkina Faso 1998</labl>
  </catgry>
  <catgry>
    <catValu>85403</catValu>
    <labl>Burkina Faso 2003</labl>
  </catgry>
  <catgry>
    <catValu>85404</catValu>
    <labl>Burkina Faso 2010</labl>
  </catgry>
  <catgry>
    <catValu>88701</catValu>
    <labl>Yemen 1991-92</labl>
  </catgry>
  <catgry>
    <catValu>88702</catValu>
    <labl>Yemen 2013</labl>
  </catgry>
  <catgry>
    <catValu>89401</catValu>
    <labl>Zambia 1992</labl>
  </catgry>
  <catgry>
    <catValu>89402</catValu>
    <labl>Zambia 1996</labl>
  </catgry>
  <catgry>
    <catValu>89403</catValu>
    <labl>Zambia 2001</labl>
  </catgry>
  <catgry>
    <catValu>89404</catValu>
    <labl>Zambia 2007</labl>
  </catgry>
  <catgry>
    <catValu>89405</catValu>
    <labl>Zambia 2013</labl>
  </catgry>
  <txt>SAMPLE identifies the DHS sample from which the case is drawn.  Each sample receives a unique 5-digit code.  The first three digits are ISO/UN codes used in COUNTRY, and the last two digits identify the sample within the country, ordered by survey year.

The related variable SAMPLESTR is a string variable that identifies the DHS sample with the same 5-digit code.</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_SAMPLESTR" name="B_SAMPLESTR" files="B" intrvl="discrete">
  <labl>IPUMS-DHS sample identifier (string)</labl>
  <imputation>IPUMS-DHS sample identifier (string)</imputation>
  <security>IPUMS-DHS sample identifier (string)</security>
  <embargo>IPUMS-DHS sample identifier (string)</embargo>
  <respUnit>IPUMS-DHS sample identifier (string)</respUnit>
  <catgry>
    <catValu>11603</catValu>
    <labl>Cambodia 2010</labl>
  </catgry>
  <catgry>
    <catValu>11602</catValu>
    <labl>Cambodia 2005</labl>
  </catgry>
  <catgry>
    <catValu>11601</catValu>
    <labl>Cambodia 2000</labl>
  </catgry>
  <catgry>
    <catValu>10803</catValu>
    <labl>Burundi 2016</labl>
  </catgry>
  <catgry>
    <catValu>10802</catValu>
    <labl>Burundi 2010</labl>
  </catgry>
  <catgry>
    <catValu>10801</catValu>
    <labl>Burundi 1987</labl>
  </catgry>
  <catgry>
    <catValu>10401</catValu>
    <labl>Myanmar 2015</labl>
  </catgry>
  <catgry>
    <catValu>05007</catValu>
    <labl>Bangladesh 2014</labl>
  </catgry>
  <catgry>
    <catValu>05006</catValu>
    <labl>Bangladesh 2011</labl>
  </catgry>
  <catgry>
    <catValu>05005</catValu>
    <labl>Bangladesh 2007</labl>
  </catgry>
  <catgry>
    <catValu>05004</catValu>
    <labl>Bangladesh 2004</labl>
  </catgry>
  <catgry>
    <catValu>05003</catValu>
    <labl>Bangladesh 1999-00</labl>
  </catgry>
  <catgry>
    <catValu>05001</catValu>
    <labl>Bangladesh 1994</labl>
  </catgry>
  <catgry>
    <catValu>05002</catValu>
    <labl>Bangladesh 1996-97</labl>
  </catgry>
  <catgry>
    <catValu>14801</catValu>
    <labl>Chad 1996-97</labl>
  </catgry>
  <catgry>
    <catValu>12004</catValu>
    <labl>Cameroon 2011</labl>
  </catgry>
  <catgry>
    <catValu>12003</catValu>
    <labl>Cameroon 2004</labl>
  </catgry>
  <catgry>
    <catValu>14803</catValu>
    <labl>Chad 2014</labl>
  </catgry>
  <catgry>
    <catValu>18001</catValu>
    <labl>Congo Democratic Republic 2007</labl>
  </catgry>
  <catgry>
    <catValu>18002</catValu>
    <labl>Congo Democratic Republic 2013-14</labl>
  </catgry>
  <catgry>
    <catValu>20401</catValu>
    <labl>Benin 1996</labl>
  </catgry>
  <catgry>
    <catValu>81807</catValu>
    <labl>Egypt 2014</labl>
  </catgry>
  <catgry>
    <catValu>81806</catValu>
    <labl>Egypt 2008</labl>
  </catgry>
  <catgry>
    <catValu>81805</catValu>
    <labl>Egypt 2005</labl>
  </catgry>
  <catgry>
    <catValu>81804</catValu>
    <labl>Egypt 2000</labl>
  </catgry>
  <catgry>
    <catValu>81803</catValu>
    <labl>Egypt 1995</labl>
  </catgry>
  <catgry>
    <catValu>81802</catValu>
    <labl>Egypt 1992</labl>
  </catgry>
  <catgry>
    <catValu>81801</catValu>
    <labl>Egypt 1988</labl>
  </catgry>
  <catgry>
    <catValu>80006</catValu>
    <labl>Uganda 2016</labl>
  </catgry>
  <catgry>
    <catValu>80005</catValu>
    <labl>Uganda 2011</labl>
  </catgry>
  <catgry>
    <catValu>80004</catValu>
    <labl>Uganda 2006</labl>
  </catgry>
  <catgry>
    <catValu>80003</catValu>
    <labl>Uganda 2001</labl>
  </catgry>
  <catgry>
    <catValu>80002</catValu>
    <labl>Uganda 1995</labl>
  </catgry>
  <catgry>
    <catValu>80001</catValu>
    <labl>Uganda 1988</labl>
  </catgry>
  <catgry>
    <catValu>79203</catValu>
    <labl>Turkey 2003</labl>
  </catgry>
  <catgry>
    <catValu>79202</catValu>
    <labl>Turkey 1998</labl>
  </catgry>
  <catgry>
    <catValu>79201</catValu>
    <labl>Turkey 1993</labl>
  </catgry>
  <catgry>
    <catValu>78801</catValu>
    <labl>Tunisia 1988</labl>
  </catgry>
  <catgry>
    <catValu>72901</catValu>
    <labl>Sudan 1989-90</labl>
  </catgry>
  <catgry>
    <catValu>71606</catValu>
    <labl>Zimbabwe 2015</labl>
  </catgry>
  <catgry>
    <catValu>71605</catValu>
    <labl>Zimbabwe 2010-11</labl>
  </catgry>
  <catgry>
    <catValu>71604</catValu>
    <labl>Zimbabwe 2005-6</labl>
  </catgry>
  <catgry>
    <catValu>71603</catValu>
    <labl>Zimbabwe 1999</labl>
  </catgry>
  <catgry>
    <catValu>71602</catValu>
    <labl>Zimbabwe 1994</labl>
  </catgry>
  <catgry>
    <catValu>71601</catValu>
    <labl>Zimbabwe 1988</labl>
  </catgry>
  <catgry>
    <catValu>71001</catValu>
    <labl>South Africa 1998</labl>
  </catgry>
  <catgry>
    <catValu>68610</catValu>
    <labl>Senegal 2017</labl>
  </catgry>
  <catgry>
    <catValu>68609</catValu>
    <labl>Senegal 2016</labl>
  </catgry>
  <catgry>
    <catValu>68608</catValu>
    <labl>Senegal 2015</labl>
  </catgry>
  <catgry>
    <catValu>68607</catValu>
    <labl>Senegal 2014</labl>
  </catgry>
  <catgry>
    <catValu>14802</catValu>
    <labl>Chad 2004</labl>
  </catgry>
  <catgry>
    <catValu>68606</catValu>
    <labl>Senegal 2012-13</labl>
  </catgry>
  <catgry>
    <catValu>68605</catValu>
    <labl>Senegal 2010-11</labl>
  </catgry>
  <catgry>
    <catValu>68604</catValu>
    <labl>Senegal 2005</labl>
  </catgry>
  <catgry>
    <catValu>68603</catValu>
    <labl>Senegal 1997</labl>
  </catgry>
  <catgry>
    <catValu>68602</catValu>
    <labl>Senegal 1992-93</labl>
  </catgry>
  <catgry>
    <catValu>68601</catValu>
    <labl>Senegal 1986</labl>
  </catgry>
  <catgry>
    <catValu>64605</catValu>
    <labl>Rwanda 2014</labl>
  </catgry>
  <catgry>
    <catValu>64604</catValu>
    <labl>Rwanda 2010</labl>
  </catgry>
  <catgry>
    <catValu>64603</catValu>
    <labl>Rwanda 2005</labl>
  </catgry>
  <catgry>
    <catValu>64602</catValu>
    <labl>Rwanda 2000</labl>
  </catgry>
  <catgry>
    <catValu>64601</catValu>
    <labl>Rwanda 1992</labl>
  </catgry>
  <catgry>
    <catValu>60407</catValu>
    <labl>Peru 2012</labl>
  </catgry>
  <catgry>
    <catValu>60406</catValu>
    <labl>Peru 2011</labl>
  </catgry>
  <catgry>
    <catValu>60405</catValu>
    <labl>Peru 2010</labl>
  </catgry>
  <catgry>
    <catValu>60404</catValu>
    <labl>Peru 2004-08</labl>
  </catgry>
  <catgry>
    <catValu>60403</catValu>
    <labl>Peru 2000</labl>
  </catgry>
  <catgry>
    <catValu>60402</catValu>
    <labl>Peru 1996</labl>
  </catgry>
  <catgry>
    <catValu>60401</catValu>
    <labl>Peru 1991-92</labl>
  </catgry>
  <catgry>
    <catValu>58603</catValu>
    <labl>Pakistan 2012-13</labl>
  </catgry>
  <catgry>
    <catValu>58602</catValu>
    <labl>Pakistan 2006-07</labl>
  </catgry>
  <catgry>
    <catValu>58601</catValu>
    <labl>Pakistan 1990-91</labl>
  </catgry>
  <catgry>
    <catValu>56605</catValu>
    <labl>Nigeria 2013</labl>
  </catgry>
  <catgry>
    <catValu>56604</catValu>
    <labl>Nigeria 2008</labl>
  </catgry>
  <catgry>
    <catValu>56603</catValu>
    <labl>Nigeria 2003</labl>
  </catgry>
  <catgry>
    <catValu>56602</catValu>
    <labl>Nigeria 1999</labl>
  </catgry>
  <catgry>
    <catValu>56601</catValu>
    <labl>Nigeria 1990</labl>
  </catgry>
  <catgry>
    <catValu>56204</catValu>
    <labl>Niger 2012</labl>
  </catgry>
  <catgry>
    <catValu>56203</catValu>
    <labl>Niger 2006</labl>
  </catgry>
  <catgry>
    <catValu>56202</catValu>
    <labl>Niger 1998</labl>
  </catgry>
  <catgry>
    <catValu>12002</catValu>
    <labl>Cameroon 1998</labl>
  </catgry>
  <catgry>
    <catValu>12001</catValu>
    <labl>Cameroon 1991</labl>
  </catgry>
  <catgry>
    <catValu>11604</catValu>
    <labl>Cambodia 2014</labl>
  </catgry>
  <catgry>
    <catValu>02401</catValu>
    <labl>Angola 2015</labl>
  </catgry>
  <catgry>
    <catValu>00401</catValu>
    <labl>Afghanistan 2015</labl>
  </catgry>
  <catgry>
    <catValu>00101</catValu>
    <labl>Model 2015</labl>
  </catgry>
  <catgry>
    <catValu>56201</catValu>
    <labl>Niger 1992</labl>
  </catgry>
  <catgry>
    <catValu>52404</catValu>
    <labl>Nepal 2011</labl>
  </catgry>
  <catgry>
    <catValu>52403</catValu>
    <labl>Nepal 2006</labl>
  </catgry>
  <catgry>
    <catValu>52402</catValu>
    <labl>Nepal 2001</labl>
  </catgry>
  <catgry>
    <catValu>52401</catValu>
    <labl>Nepal 1996</labl>
  </catgry>
  <catgry>
    <catValu>51604</catValu>
    <labl>Namibia 2013</labl>
  </catgry>
  <catgry>
    <catValu>51603</catValu>
    <labl>Namibia 2006</labl>
  </catgry>
  <catgry>
    <catValu>51602</catValu>
    <labl>Namibia 2000</labl>
  </catgry>
  <catgry>
    <catValu>51601</catValu>
    <labl>Namibia 1992</labl>
  </catgry>
  <catgry>
    <catValu>50803</catValu>
    <labl>Mozambique 2011</labl>
  </catgry>
  <catgry>
    <catValu>50802</catValu>
    <labl>Mozambique 2003</labl>
  </catgry>
  <catgry>
    <catValu>50801</catValu>
    <labl>Mozambique 1997</labl>
  </catgry>
  <catgry>
    <catValu>50403</catValu>
    <labl>Morocco 2003</labl>
  </catgry>
  <catgry>
    <catValu>50402</catValu>
    <labl>Morocco 1992</labl>
  </catgry>
  <catgry>
    <catValu>50401</catValu>
    <labl>Morocco 1987</labl>
  </catgry>
  <catgry>
    <catValu>46605</catValu>
    <labl>Mali 2012</labl>
  </catgry>
  <catgry>
    <catValu>46604</catValu>
    <labl>Mali 2006</labl>
  </catgry>
  <catgry>
    <catValu>46603</catValu>
    <labl>Mali 2001</labl>
  </catgry>
  <catgry>
    <catValu>46602</catValu>
    <labl>Mali 1995-6</labl>
  </catgry>
  <catgry>
    <catValu>46601</catValu>
    <labl>Mali 1987</labl>
  </catgry>
  <catgry>
    <catValu>45405</catValu>
    <labl>Malawi 2016</labl>
  </catgry>
  <catgry>
    <catValu>45404</catValu>
    <labl>Malawi 2010</labl>
  </catgry>
  <catgry>
    <catValu>45403</catValu>
    <labl>Malawi 2004</labl>
  </catgry>
  <catgry>
    <catValu>45402</catValu>
    <labl>Malawi 2000</labl>
  </catgry>
  <catgry>
    <catValu>45401</catValu>
    <labl>Malawi 1992</labl>
  </catgry>
  <catgry>
    <catValu>45004</catValu>
    <labl>Madagascar 2008</labl>
  </catgry>
  <catgry>
    <catValu>45003</catValu>
    <labl>Madagascar 2003</labl>
  </catgry>
  <catgry>
    <catValu>45002</catValu>
    <labl>Madagascar 1997</labl>
  </catgry>
  <catgry>
    <catValu>45001</catValu>
    <labl>Madagascar 1992</labl>
  </catgry>
  <catgry>
    <catValu>42603</catValu>
    <labl>Lesotho 2014</labl>
  </catgry>
  <catgry>
    <catValu>42602</catValu>
    <labl>Lesotho 2009</labl>
  </catgry>
  <catgry>
    <catValu>42601</catValu>
    <labl>Lesotho 2004</labl>
  </catgry>
  <catgry>
    <catValu>40406</catValu>
    <labl>Kenya 2014</labl>
  </catgry>
  <catgry>
    <catValu>40405</catValu>
    <labl>Kenya 2008-9</labl>
  </catgry>
  <catgry>
    <catValu>40404</catValu>
    <labl>Kenya 2003</labl>
  </catgry>
  <catgry>
    <catValu>40403</catValu>
    <labl>Kenya 1998</labl>
  </catgry>
  <catgry>
    <catValu>40402</catValu>
    <labl>Kenya 1993</labl>
  </catgry>
  <catgry>
    <catValu>40401</catValu>
    <labl>Kenya 1989</labl>
  </catgry>
  <catgry>
    <catValu>40006</catValu>
    <labl>Jordan 2012</labl>
  </catgry>
  <catgry>
    <catValu>40005</catValu>
    <labl>Jordan 2009</labl>
  </catgry>
  <catgry>
    <catValu>40004</catValu>
    <labl>Jordan 2007</labl>
  </catgry>
  <catgry>
    <catValu>40003</catValu>
    <labl>Jordan 2002</labl>
  </catgry>
  <catgry>
    <catValu>40002</catValu>
    <labl>Jordan 1997</labl>
  </catgry>
  <catgry>
    <catValu>40001</catValu>
    <labl>Jordan 1990</labl>
  </catgry>
  <catgry>
    <catValu>38403</catValu>
    <labl>Cote d'Ivoire 2011</labl>
  </catgry>
  <catgry>
    <catValu>38402</catValu>
    <labl>Cote d'Ivoire 1998</labl>
  </catgry>
  <catgry>
    <catValu>38401</catValu>
    <labl>Cote d'Ivoire 1994</labl>
  </catgry>
  <catgry>
    <catValu>35604</catValu>
    <labl>India 2015-16</labl>
  </catgry>
  <catgry>
    <catValu>35603</catValu>
    <labl>India 2005-06</labl>
  </catgry>
  <catgry>
    <catValu>35602</catValu>
    <labl>India 1998-99</labl>
  </catgry>
  <catgry>
    <catValu>35601</catValu>
    <labl>India 1992-93</labl>
  </catgry>
  <catgry>
    <catValu>32403</catValu>
    <labl>Guinea 2012</labl>
  </catgry>
  <catgry>
    <catValu>32402</catValu>
    <labl>Guinea 2005</labl>
  </catgry>
  <catgry>
    <catValu>32401</catValu>
    <labl>Guinea 1999</labl>
  </catgry>
  <catgry>
    <catValu>32003</catValu>
    <labl>Guatemala 2015</labl>
  </catgry>
  <catgry>
    <catValu>32002</catValu>
    <labl>Guatemala 1995</labl>
  </catgry>
  <catgry>
    <catValu>32001</catValu>
    <labl>Guatemala 1987</labl>
  </catgry>
  <catgry>
    <catValu>28806</catValu>
    <labl>Ghana 2014</labl>
  </catgry>
  <catgry>
    <catValu>28805</catValu>
    <labl>Ghana 2008</labl>
  </catgry>
  <catgry>
    <catValu>28804</catValu>
    <labl>Ghana 2003</labl>
  </catgry>
  <catgry>
    <catValu>28803</catValu>
    <labl>Ghana 1998</labl>
  </catgry>
  <catgry>
    <catValu>28802</catValu>
    <labl>Ghana 1993</labl>
  </catgry>
  <catgry>
    <catValu>28801</catValu>
    <labl>Ghana 1988</labl>
  </catgry>
  <catgry>
    <catValu>23104</catValu>
    <labl>Ethiopia 2016</labl>
  </catgry>
  <catgry>
    <catValu>23103</catValu>
    <labl>Ethiopia 2011</labl>
  </catgry>
  <catgry>
    <catValu>23102</catValu>
    <labl>Ethiopia 2005</labl>
  </catgry>
  <catgry>
    <catValu>23101</catValu>
    <labl>Ethiopia 2000</labl>
  </catgry>
  <catgry>
    <catValu>20404</catValu>
    <labl>Benin 2011</labl>
  </catgry>
  <catgry>
    <catValu>20403</catValu>
    <labl>Benin 2006</labl>
  </catgry>
  <catgry>
    <catValu>20402</catValu>
    <labl>Benin 2001</labl>
  </catgry>
  <catgry>
    <catValu>83401</catValu>
    <labl>Tanzania 1991</labl>
  </catgry>
  <catgry>
    <catValu>83402</catValu>
    <labl>Tanzania 1996</labl>
  </catgry>
  <catgry>
    <catValu>83403</catValu>
    <labl>Tanzania 1999</labl>
  </catgry>
  <catgry>
    <catValu>83404</catValu>
    <labl>Tanzania 2004</labl>
  </catgry>
  <catgry>
    <catValu>83405</catValu>
    <labl>Tanzania 2010</labl>
  </catgry>
  <catgry>
    <catValu>83406</catValu>
    <labl>Tanzania 2015</labl>
  </catgry>
  <catgry>
    <catValu>85401</catValu>
    <labl>Burkina Faso 1993</labl>
  </catgry>
  <catgry>
    <catValu>85402</catValu>
    <labl>Burkina Faso 1998</labl>
  </catgry>
  <catgry>
    <catValu>85403</catValu>
    <labl>Burkina Faso 2003</labl>
  </catgry>
  <catgry>
    <catValu>85404</catValu>
    <labl>Burkina Faso 2010</labl>
  </catgry>
  <catgry>
    <catValu>88701</catValu>
    <labl>Yemen 1991-92</labl>
  </catgry>
  <catgry>
    <catValu>88702</catValu>
    <labl>Yemen 2013</labl>
  </catgry>
  <catgry>
    <catValu>89401</catValu>
    <labl>Zambia 1992</labl>
  </catgry>
  <catgry>
    <catValu>89402</catValu>
    <labl>Zambia 1996</labl>
  </catgry>
  <catgry>
    <catValu>89403</catValu>
    <labl>Zambia 2001</labl>
  </catgry>
  <catgry>
    <catValu>89404</catValu>
    <labl>Zambia 2007</labl>
  </catgry>
  <catgry>
    <catValu>89405</catValu>
    <labl>Zambia 2013</labl>
  </catgry>
  <catgry>
    <catValu>40007</catValu>
    <labl>Jordan 2017</labl>
  </catgry>
  <catgry>
    <catValu>52405</catValu>
    <labl>Nepal 2016</labl>
  </catgry>
  <catgry>
    <catValu>58604</catValu>
    <labl>Pakistan 2017-18</labl>
  </catgry>
  <catgry>
    <catValu>71002</catValu>
    <labl>South Africa 2016</labl>
  </catgry>
  <txt>SAMPLESTR is a string variable that identifies the DHS sample from which the case is drawn.  Each sample receives a unique 5-digit code.  The first three digits are ISO/UN codes used in COUNTRY, and the last two digits identify the sample within the country, ordered by survey year.

The related variable SAMPLE is a numeric variable that identifies the DHS sample with the same 5-digit code.</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="B_COUNTRY" name="B_COUNTRY" files="B" intrvl="discrete">
  <labl>Country</labl>
  <imputation>Country</imputation>
  <security>Country</security>
  <embargo>Country</embargo>
  <respUnit>Country</respUnit>
  <catgry>
    <catValu>001</catValu>
    <labl>Model</labl>
  </catgry>
  <catgry>
    <catValu>004</catValu>
    <labl>Afghanistan</labl>
  </catgry>
  <catgry>
    <catValu>024</catValu>
    <labl>Angola</labl>
  </catgry>
  <catgry>
    <catValu>050</catValu>
    <labl>Bangladesh</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>Myanmar</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>Burundi</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>Cambodia</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Cameroon</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>Chad</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>Congo Democratic Republic</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>Benin</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>Ethiopia</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>Ghana</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>Guatemala</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>Guinea</labl>
  </catgry>
  <catgry>
    <catValu>356</catValu>
    <labl>India</labl>
  </catgry>
  <catgry>
    <catValu>384</catValu>
    <labl>Cote d'Ivoire</labl>
  </catgry>
  <catgry>
    <catValu>400</catValu>
    <labl>Jordan</labl>
  </catgry>
  <catgry>
    <catValu>404</catValu>
    <labl>Kenya</labl>
  </catgry>
  <catgry>
    <catValu>426</catValu>
    <labl>Lesotho</labl>
  </catgry>
  <catgry>
    <catValu>450</catValu>
    <labl>Madagascar</labl>
  </catgry>
  <catgry>
    <catValu>454</catValu>
    <labl>Malawi</labl>
  </catgry>
  <catgry>
    <catValu>466</catValu>
    <labl>Mali</labl>
  </catgry>
  <catgry>
    <catValu>504</catValu>
    <labl>Morocco</labl>
  </catgry>
  <catgry>
    <catValu>508</catValu>
    <labl>Mozambique</labl>
  </catgry>
  <catgry>
    <catValu>516</catValu>
    <labl>Namibia</labl>
  </catgry>
  <catgry>
    <catValu>524</catValu>
    <labl>Nepal</labl>
  </catgry>
  <catgry>
    <catValu>562</catValu>
    <labl>Niger</labl>
  </catgry>
  <catgry>
    <catValu>566</catValu>
    <labl>Nigeria</labl>
  </catgry>
  <catgry>
    <catValu>586</catValu>
    <labl>Pakistan</labl>
  </catgry>
  <catgry>
    <catValu>604</catValu>
    <labl>Peru</labl>
  </catgry>
  <catgry>
    <catValu>646</catValu>
    <labl>Rwanda</labl>
  </catgry>
  <catgry>
    <catValu>686</catValu>
    <labl>Senegal</labl>
  </catgry>
  <catgry>
    <catValu>710</catValu>
    <labl>South Africa</labl>
  </catgry>
  <catgry>
    <catValu>716</catValu>
    <labl>Zimbabwe</labl>
  </catgry>
  <catgry>
    <catValu>729</catValu>
    <labl>Sudan</labl>
  </catgry>
  <catgry>
    <catValu>788</catValu>
    <labl>Tunisia</labl>
  </catgry>
  <catgry>
    <catValu>792</catValu>
    <labl>Turkey</labl>
  </catgry>
  <catgry>
    <catValu>800</catValu>
    <labl>Uganda</labl>
  </catgry>
  <catgry>
    <catValu>818</catValu>
    <labl>Egypt</labl>
  </catgry>
  <catgry>
    <catValu>834</catValu>
    <labl>Tanzania</labl>
  </catgry>
  <catgry>
    <catValu>854</catValu>
    <labl>Burkina Faso</labl>
  </catgry>
  <catgry>
    <catValu>887</catValu>
    <labl>Yemen</labl>
  </catgry>
  <catgry>
    <catValu>894</catValu>
    <labl>Zambia</labl>
  </catgry>
  <txt>COUNTRY reports the country where the survey was fielded. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization).</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_YEAR" name="B_YEAR" files="B" intrvl="discrete">
  <labl>Year of sample</labl>
  <imputation>Year of sample</imputation>
  <security>Year of sample</security>
  <embargo>Year of sample</embargo>
  <respUnit>Year of sample</respUnit>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>2017</labl>
  </catgry>
  <catgry>
    <catValu>2018</catValu>
    <labl>2018</labl>
  </catgry>
  <txt>YEAR reports the year when the survey was fielded, as a four-digit variable. In some cases, the DHS was conducted over the course of two years (e.g., Ethiopia 2010-2011), but YEAR always gives a single year.  For full information about the timing of the surveys, please consult the IPUMS-DHS Sample Descriptions page.</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_IDHSPID" name="B_IDHSPID" files="B" intrvl="contin">
  <labl>Unique cross-sample respondent identifier</labl>
  <imputation>Unique cross-sample respondent identifier</imputation>
  <security>Unique cross-sample respondent identifier</security>
  <embargo>Unique cross-sample respondent identifier</embargo>
  <respUnit>Unique cross-sample respondent identifier</respUnit>
  <txt>IDHSPID is an identifying number unique to person in a given sample.  It is a concatenation of SAMPLE and CASEID.</txt>
  <codInstr>IDHSPID is a 22-character string variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="B_IDHSHID" name="B_IDHSHID" files="B" intrvl="contin">
  <labl>Unique cross-sample household identifier</labl>
  <imputation>Unique cross-sample household identifier</imputation>
  <security>Unique cross-sample household identifier</security>
  <embargo>Unique cross-sample household identifier</embargo>
  <respUnit>Unique cross-sample household identifier</respUnit>
  <txt>IDHSHID is an identifying number unique to a specific household in a given sample.  It is a concatenation of SAMPLE, CLUSTERNO and HHNUM.</txt>
  <codInstr>IDHSHID is a 19-character string variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="B_DHSID" name="B_DHSID" files="B" intrvl="contin">
  <labl>Key to link DHS clusters to context data (string)</labl>
  <imputation>Key to link DHS clusters to context data (string)</imputation>
  <security>Key to link DHS clusters to context data (string)</security>
  <embargo>Key to link DHS clusters to context data (string)</embargo>
  <respUnit>Key to link DHS clusters to context data (string)</respUnit>
  <txt>DHSID is the 14-character DHS identification code for DHS clusters constructed from the 2-character country code, the 4-digit survey year, and the 8-digit cluster identification number. DHSID is available for every IPUMS-DHS sample and uniquely identifies clusters across samples. It serves as the unique linking key between IPUMS-DHS microdata and DHS cluster shapefiles.</txt>
  <codInstr>This is a 14-digit numeric variable with 0 implied decimal places</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="B_IDHSPSU" name="B_IDHSPSU" files="B" intrvl="discrete">
  <labl>Unique sample-case PSU identifier</labl>
  <imputation>Unique sample-case PSU identifier</imputation>
  <security>Unique sample-case PSU identifier</security>
  <embargo>Unique sample-case PSU identifier</embargo>
  <respUnit>Unique sample-case PSU identifier</respUnit>
  <txt>IDHSPSU is an identifying number unique to the primary sampling unit in a given sample.  This variable is a concatenation of SAMPLE (which uniquely identifies each country- and year-specific sample) and PSU (the numbered primary sampling units within a given sample).</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_IDHSSTRATA" name="B_IDHSSTRATA" files="B" intrvl="discrete">
  <labl>Unique cross-sample sampling strata</labl>
  <imputation>Unique cross-sample sampling strata</imputation>
  <security>Unique cross-sample sampling strata</security>
  <embargo>Unique cross-sample sampling strata</embargo>
  <respUnit>Unique cross-sample sampling strata</respUnit>
  <txt>IDHSSTRATA is an identifying number unique to the sampling strata in a given sample.  This variable is a concatenation of SAMPLE (which uniquely identifies each country- and year-specific sample) and STRATA (groups of geographically similar areas, from which primary sampling units are drawn).</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_CASEID" name="B_CASEID" files="B" intrvl="contin">
  <labl>Sample-specific respondent identifier</labl>
  <imputation>Sample-specific respondent identifier</imputation>
  <security>Sample-specific respondent identifier</security>
  <embargo>Sample-specific respondent identifier</embargo>
  <respUnit>Sample-specific respondent identifier</respUnit>
  <txt>CASEID is the unique identifier for each woman in a given sample year.  Using CASEID and CLUSTERNO, analysts can link IPUMS-DHS data to the original DHS datasets to attach variables that are not currently available in IPUMS-DHS.  For example, researchers can use CASEID and CLUSTERNO to link variables from the IPUMS-DHS with other variables from the Woman's Recode file to merge country-specific variables, or to the Household or Couples Recode file to attach variables that are not yet part of IPUMS-DHS. 

In most samples, users can identify women who are in the same household by using the first 12 characters of CASEID (and CLUSTERNO (V001)), as this indicates a unique household identifier.  

CASEID is generally created by The DHS Program using the variables CLUSTERNO (V001), HHNUM (V002), and LINENO (V003), with the last three characters indicating the respondent's line number in the household file.

For instructions on how to create links between IPUMS-DHS data and DHS source data, see the User Note on "Merging IDHS and DHS Data." [URL omitted from DDI.]</txt>
  <codInstr>CASEID is a 18-character string variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="B_HHID" name="B_HHID" files="B" intrvl="contin">
  <labl>Sample-specific household identifier</labl>
  <imputation>Sample-specific household identifier</imputation>
  <security>Sample-specific household identifier</security>
  <embargo>Sample-specific household identifier</embargo>
  <respUnit>Sample-specific household identifier</respUnit>
  <txt>HHID is an identifying number unique to each household in a given sample.</txt>
  <codInstr>HHID is a 15-character string variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="B_PSU" name="B_PSU" files="B" intrvl="contin">
  <labl>Sample-specific primary sampling unit</labl>
  <imputation>Sample-specific primary sampling unit</imputation>
  <security>Sample-specific primary sampling unit</security>
  <embargo>Sample-specific primary sampling unit</embargo>
  <respUnit>Sample-specific primary sampling unit</respUnit>
  <txt>PSU (V021) is the variable indicating the  primary sampling unit  or PSU. It should be used along with the variable DOMAIN (V023) to account for the impact of the sample design clustering on the variance estimates and standard errors. 

The DHS Recode Manuals for Phase 2 forward describe this variable as follows:

 Primary sampling unit is a number assigned to sample points to identify the primary sampling units for use in the calculation of sampling errors. This variable is usually the same as the cluster number and/or the ultimate area unit, but may differ if the sample design required a multistage selection process.

See the notes on DHS webpage "Using sample weights" [URL omitted from DDI.] on variance estimation for additional information.</txt>
  <codInstr>PSU (V021) is a 6-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_STRATA" name="B_STRATA" files="B" intrvl="contin">
  <labl>Sample-specific sampling strata</labl>
  <imputation>Sample-specific sampling strata</imputation>
  <security>Sample-specific sampling strata</security>
  <embargo>Sample-specific sampling strata</embargo>
  <respUnit>Sample-specific sampling strata</respUnit>
  <txt>STRATA (V022) defines the pairings or groupings of primary sampling units used in the calculation of sampling errors when using the Taylor series expansion method.

In two-stage sampling, The DHS Program may first group small geographic areas, such as enumeration areas from the last census, into broad strata defined jointly by region and urban versus rural areas within a region. In the second stage of sampling, a subset of geographic areas (sample clusters) are selected as the sites for interviewing from within defined strata. 

STRATA is not the same as DOMAIN (V023). (Domains represent statistically representative areas for which valid summary statistics can be calculated for a survey, such as provinces and national urban versus rural combined areas, as described in the survey's final report.) The DHS Program recommends using STRATA along with the variable PSU (V021) to account for the impact of the sample design clustering on the estimates of variance and standard errors. 

Users are strongly encouraged to review the FAQ section provided by The DHS Program on specifying stratification and clustering here [URL omitted from DDI.], using Stata or SPSS to account for sample design.</txt>
  <codInstr>STRATA (V022) is a 5-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_DOMAIN" name="B_DOMAIN" files="B" intrvl="contin">
  <labl>Sample-specific domain</labl>
  <imputation>Sample-specific domain</imputation>
  <security>Sample-specific domain</security>
  <embargo>Sample-specific domain</embargo>
  <respUnit>Sample-specific domain</respUnit>
  <txt>DOMAIN (V023) defines the basic geographic units for which the sample was designed to yield representative estimates. 

The DHS Recode Manual describes DOMAIN as follows:

 For example, if the sample was designed to be self-weighting within region, this variable would define those regions; if the sample was designed to be self-weighting within major urban areas, other urban areas and rural areas, this variable would define the major urban, other urban and rural areas. If the sample is self-weighted at the national level, this variable is code 0.

When national estimates are desired, users should include survey design variables, including DOMAIN (V023) and PSU (V021), and the correct sample weights (e.g., PERWEIGHT (V005)) to adjust sampling errors to account for DHS' sample design.

In most countries, DOMAIN defines the stratification for the sample (generally either regional or national).  However, some countries use two levels of stratification, such as region and urban/rural areas.  Users should check for the correct stratification design by consulting the Final Report(s) for the sample(s) of interest (particularly the Introduction and Sample Design sections and Implementation Appendix).</txt>
  <codInstr>DOMAIN is a 5-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_HHNUM" name="B_HHNUM" files="B" intrvl="contin">
  <labl>Household number in cluster</labl>
  <imputation>Household number in cluster</imputation>
  <security>Household number in cluster</security>
  <embargo>Household number in cluster</embargo>
  <respUnit>Household number in cluster</respUnit>
  <txt>HHNUM (V002) is the number identifying the household in which the respondent was
interviewed, within each sample.   

To identify unique households in most samples, researchers must use HHNUM with CLUSTERNO (V001).  

For most samples, HHNUM and CLUSTERNO can be used to merge IPUMS-DHS data from the women's file to DHS Household Recode files, to incorporate household variables not yet available in the IPUMS-DHS.  However, in some household files, HHNUM and CLUSTERNO do not uniquely identify households in the DHS Household Recode file. 

For information about the IPUMS-DHS samples where HHNUM and CLUSTERNO are not sufficient to uniquely identify households, and for guidance on what further steps to take for linking files in such cases, please consult the User Note on Linking. [URL omitted from DDI.]</txt>
  <codInstr>HHNUM is a 4-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_CLUSTERNO" name="B_CLUSTERNO" files="B" intrvl="contin">
  <labl>Sample-specific cluster number</labl>
  <imputation>Sample-specific cluster number</imputation>
  <security>Sample-specific cluster number</security>
  <embargo>Sample-specific cluster number</embargo>
  <respUnit>Sample-specific cluster number</respUnit>
  <txt>CLUSTERNO (V001) reports the cluster number for the person's de facto residence.

According to the DHS Sampling Manual, "A cluster is the smallest geographical survey statistical unit for DHS surveys. It consists of a number of adjacent households in a geographical area. For DHS surveys, a cluster corresponds either to an [enumeration area], or a segment of a large [enumeration area]."  The most recent census for a country, which divided all territory into enumeration areas to ensure full coverage of the population, often provides the sampling frame for a DHS survey.
 
CLUSTERNO is the variable indicating the  primary sampling unit  or PSU. It should be used along with the variable STRATA to account for the impact of the sample design clustering on the estimates of variance and standard errors. 

See the notes on DHS webpage  "Use sample weights" [URL omitted from DDI.] on variance estimation for additional information.

CLUSTERNO (V001) and HHNUM (V002) can be used to merge the women's individual recode file to the household recode file.  See the DHS webpage  Merging Datasets [URL omitted from DDI.] on variables to be used for linking data sets.</txt>
  <codInstr>CLUSTERNO is an 8 digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_ULTAREAUNIT" name="B_ULTAREAUNIT" files="B" intrvl="contin">
  <labl>Sample-specific ultimate area unit</labl>
  <imputation>Sample-specific ultimate area unit</imputation>
  <security>Sample-specific ultimate area unit</security>
  <embargo>Sample-specific ultimate area unit</embargo>
  <respUnit>Sample-specific ultimate area unit</respUnit>
  <txt>ULTAREAUNIT (V004) reports the ultimate area unit for the person's de facto residence.

According to the DHS recode manuals, ULTAREAUNIT 

is a number assigned to each sample point to identify the ultimate area units in the collection of data. It is usually the same as the cluster number [CLUSTERNO (V001)], but may be a sequentially numbered variable for samples with a more complicated structure.


ULTAREAUNIT can be used to account for the impact of the sampling design clustering on the variance estimates and standard errors.</txt>
  <codInstr>ULTAREAUNIT (V004) is a 4-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_STRUCTURNO" name="B_STRUCTURNO" files="B" intrvl="contin">
  <labl>Dwelling unit number within household</labl>
  <imputation>Dwelling unit number within household</imputation>
  <security>Dwelling unit number within household</security>
  <embargo>Dwelling unit number within household</embargo>
  <respUnit>Dwelling unit number within household</respUnit>
  <txt>STRUCTURNO is the number of the structure (dwelling unit) within the household. This variable is country-specific.</txt>
  <codInstr>STRUCTURNO is a 3-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_LINENO" name="B_LINENO" files="B" intrvl="discrete">
  <labl>Household line number of woman respondent</labl>
  <imputation>Household line number of woman respondent</imputation>
  <security>Household line number of woman respondent</security>
  <embargo>Household line number of woman respondent</embargo>
  <respUnit>Household line number of woman respondent</respUnit>
  <qstn>
    <qstnLit>1) NUMBER</qstnLit>
  </qstn>
  <catgry>
    <catValu>001</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>002</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>003</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>004</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>005</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>006</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>007</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>008</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>009</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>010</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>011</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>012</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>013</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>014</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>015</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>016</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>017</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>018</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>019</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>020</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>021</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>022</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>023</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>024</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>025</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>026</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>027</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>028</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>029</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>030</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>031</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>032</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>033</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>034</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>035</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>036</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>037</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>038</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>039</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>040</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>041</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>042</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>043</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>044</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>045</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>046</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>047</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>048</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>049</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>050</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>051</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>052</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>053</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>054</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>055</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>056</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>057</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>058</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>059</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>060</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>061</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>062</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>063</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>064</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>065</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>066</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>067</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>068</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>069</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>070</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>071</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>072</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>073</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>074</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>075</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>076</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>077</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>078</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>079</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>080</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>081</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>082</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>083</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>084</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>085</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>086</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>087</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>088</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>089</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>090</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>091</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>092</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>093</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>094</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>095</catValu>
    <labl>95</labl>
  </catgry>
  <catgry>
    <catValu>096</catValu>
    <labl>96</labl>
  </catgry>
  <catgry>
    <catValu>097</catValu>
    <labl>97</labl>
  </catgry>
  <catgry>
    <catValu>098</catValu>
    <labl>98</labl>
  </catgry>
  <catgry>
    <catValu>099</catValu>
    <labl>99</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>100</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>101</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>102</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>103</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>104</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>105</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>106</labl>
  </catgry>
  <txt>LINENO (V003) reports the number of the line on which the DHS interviewer recorded the woman's name, when filling out the household schedule.  After asking "Please give me the names of the persons who usually live in your household or are staying with you now, starting with the head of the household," the interviewer recorded each name in turn on successively numbered lines printed on the household survey form.</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_LINENOHHRESP" name="B_LINENOHHRESP" files="B" intrvl="discrete">
  <labl>Respondent's line number (answering Household questionnaire)</labl>
  <imputation>Respondent's line number (answering Household questionnaire)</imputation>
  <security>Respondent's line number (answering Household questionnaire)</security>
  <embargo>Respondent's line number (answering Household questionnaire)</embargo>
  <respUnit>Respondent's line number (answering Household questionnaire)</respUnit>
  <qstn>
    <qstnLit>1) NUMBER</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Not in household</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>LINENOHHRESP (HV003) reports the line number in the household schedule of the person responding to the questions asked in the household questionnaire. If nobody in the household was available for the interview, this variable is coded "00."</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BIDX" name="B_BIDX" files="B" intrvl="discrete">
  <labl>Birth history index number</labl>
  <imputation>Birth history index number</imputation>
  <security>Birth history index number</security>
  <embargo>Birth history index number</embargo>
  <respUnit>Birth history index number</respUnit>
  <qstn>
    <qstnLit>211) Now I would like to talk to you about your children, whether they are still alive or not, beginning with the first birth that you had.

(IN 212 WRITE THE NAME OF EACH CHILD, WRITING THE NAMES OF TWINS OR TRIPLETS ON SEPARATE LINES)</qstnLit>
  </qstn>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <txt>BIDX reports the index number of the child in the mother's birth history, from 1 to n, where the nth birth is the mother's first birth, and 1 is the most recently born child. Up to 20 births could be reported by a woman. After asking "Now I would like to record the names of all your births, whether still alive or not, with the first one you had," the interviewer recorded each child's name in turn on successively numbered lines printed in the "Reproduction" section of the individual woman's questionnaire. 

Combined with CASEID, BIDX uniquely identifies children within a sample. Combined with IDHSPID, BIDX uniquely identifies children across samples. Using these variables, data users can link IPUMS-DHS data to original DHS child-level and birth-level datasets.</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PERWEIGHT" name="B_PERWEIGHT" files="B" dcml="6" intrvl="contin">
  <labl>Sample weight for persons</labl>
  <imputation>Sample weight for persons</imputation>
  <security>Sample weight for persons</security>
  <embargo>Sample weight for persons</embargo>
  <respUnit>Sample weight for persons</respUnit>
  <txt>PERWEIGHT (V005) is an 8-digit variable with 6 implied decimal places, which should be used as a weighting factor to produce representative numbers accurately describing the surveyed population.

While the DHS Recode Manuals direct the researcher to divide the original weight variable by 1,000,000 before applying the weighting factor to the original DHS data files, it is not necessary to modify the value of PERWEIGHT before applying this weight to cases in IPUMS-DHS. 

PERWEIGHT should be used to weight nearly all tabulations made using IPUMS-DHS data.  Occasionally, as with the domestic violence variables, a subset of respondents are randomly selected to answer questions from a survey module, and a specialized weight such as DVWEIGHT should be used instead. 

Note: The 6 implied decimal places in PERWEIGHT mean that the last six digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.</txt>
  <codInstr>PERWEIGHT is an 8-digit numeric variable with 6 implied decimal places.  See the variable description for directions on the use of PERWEIGHT.</codInstr>
  <concept>
    <title>Weights and subsample selection Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_AWFACTT" name="B_AWFACTT" files="B" intrvl="contin">
  <labl>All woman factor for total population</labl>
  <imputation>All woman factor for total population</imputation>
  <security>All woman factor for total population</security>
  <embargo>All woman factor for total population</embargo>
  <respUnit>All woman factor for total population</respUnit>
  <txt>AWFACTT is a 5-digit variable (in IPUMS-DHS) with 2 implied decimal places that is used to create total population estimates for all women of childbearing age, for those samples interviewing only ever-married women. A post from DHS senior staff member Tom Pullum on the DHS Users Forum explains, 

The all-woman factors are needed when you are trying to estimate something for all women, but you have to work with ever-married women because that's all you have in the sample. An example is when you want to estimate a fertility rate for all women but you only have the births and exposure for ever-married women.  You have to assume that (a) never-married women have no births and (b) awfact/100 is a multiplier to inflate exposure for ever-married women to exposure for all women.   

For surveys that used a sampling frame of all women of childbearing age, AWFACTT has a value of 100 (or 1.00, with two decimal places), and thus has no effect on the survey statistics when used as a multiplier.  For samples that included only ever-married women, AWFACTT serves as a multiplier to create total population figures for all women of childbearing age, following the assumptions noted above.

The width of AWFACTT ranges from a low of 3 to a high of 5 in the original DHS files; see Comparability for further discussion.</txt>
  <codInstr>AWFACTT is a 5-digit numeric variable with 2 implied decimal places. See the variable description for directions on the use of AWFACTT.</codInstr>
  <concept>
    <title>Weights and subsample selection Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_MENSELHH" name="B_MENSELHH" files="B" intrvl="discrete">
  <labl>Household selected for men's/husband's survey (individual-level)</labl>
  <imputation>Household selected for men's/husband's survey (individual-level)</imputation>
  <security>Household selected for men's/husband's survey (individual-level)</security>
  <embargo>Household selected for men's/husband's survey (individual-level)</embargo>
  <respUnit>Household selected for men's/husband's survey (individual-level)</respUnit>
  <qstn>
    <qstnLit>HUSBAND INTERVIEW:

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>Not selected</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Selected for men's survey</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Selected for husband's survey</labl>
  </catgry>
  <txt>MENSELHH (HV027) indicates whether the respondent's household was selected for the men's or husband's survey. Samples including neither a men's survey nor a husband's survey are excluded from this variable in IPUMS-DHS.</txt>
  <concept>
    <title>Weights and subsample selection Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_INTYEAR" name="B_INTYEAR" files="B" intrvl="discrete">
  <labl>Year of interview</labl>
  <imputation>Year of interview</imputation>
  <security>Year of interview</security>
  <embargo>Year of interview</embargo>
  <respUnit>Year of interview</respUnit>
  <txt>INTYEAR (V007) reports the year the interview took place. The dates reported in INTYEAR are based on the Gregorian calendar.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_MONTHINT" name="B_MONTHINT" files="B" intrvl="discrete">
  <labl>Month of interview</labl>
  <imputation>Month of interview</imputation>
  <security>Month of interview</security>
  <embargo>Month of interview</embargo>
  <respUnit>Month of interview</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <txt>MONTHINT (V006) reports the month when the interview took place.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_INTDAY" name="B_INTDAY" files="B" intrvl="discrete">
  <labl>Day of interview</labl>
  <imputation>Day of interview</imputation>
  <security>Day of interview</security>
  <embargo>Day of interview</embargo>
  <respUnit>Day of interview</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <txt>INTDAY (V016) reports the day of the month on which the interview took place. INTDAY uses dates expressed in the Gregorian calendar.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_INTDATECMC" name="B_INTDATECMC" files="B" intrvl="contin">
  <labl>Century month date of interview</labl>
  <imputation>Century month date of interview</imputation>
  <security>Century month date of interview</security>
  <embargo>Century month date of interview</embargo>
  <respUnit>Century month date of interview</respUnit>
  <txt>INTDATECMC (V008) reports century month code for the date on which the interview took place. 

Century month codes (CMC) are particularly useful for checking the consistency of dates, calculating intervals between events, and imputing dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC  minus ( ( Year - 1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006). [URL omitted from DDI.].

The century month codes reported in INTDATECMC are calculated using the Gregorian calculator.</txt>
  <codInstr>INTDATECMC (V008) is a 4-digit variable.</codInstr>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_INTSTARTCMC" name="B_INTSTARTCMC" files="B" intrvl="discrete">
  <labl>Century month code (CMC) for start of survey</labl>
  <imputation>Century month code (CMC) for start of survey</imputation>
  <security>Century month code (CMC) for start of survey</security>
  <embargo>Century month code (CMC) for start of survey</embargo>
  <respUnit>Century month code (CMC) for start of survey</respUnit>
  <catgry>
    <catValu>1415</catValu>
    <labl>1415</labl>
  </catgry>
  <catgry>
    <catValu>1414</catValu>
    <labl>1414</labl>
  </catgry>
  <catgry>
    <catValu>1399</catValu>
    <labl>1399</labl>
  </catgry>
  <catgry>
    <catValu>1397</catValu>
    <labl>1397</labl>
  </catgry>
  <catgry>
    <catValu>1408</catValu>
    <labl>1408</labl>
  </catgry>
  <catgry>
    <catValu>1402</catValu>
    <labl>1402</labl>
  </catgry>
  <catgry>
    <catValu>1398</catValu>
    <labl>1398</labl>
  </catgry>
  <catgry>
    <catValu>1393</catValu>
    <labl>1393</labl>
  </catgry>
  <catgry>
    <catValu>1392</catValu>
    <labl>1392</labl>
  </catgry>
  <catgry>
    <catValu>1391</catValu>
    <labl>1391</labl>
  </catgry>
  <catgry>
    <catValu>1390</catValu>
    <labl>1390</labl>
  </catgry>
  <catgry>
    <catValu>1388</catValu>
    <labl>1388</labl>
  </catgry>
  <catgry>
    <catValu>1387</catValu>
    <labl>1387</labl>
  </catgry>
  <catgry>
    <catValu>1386</catValu>
    <labl>1386</labl>
  </catgry>
  <catgry>
    <catValu>1381</catValu>
    <labl>1381</labl>
  </catgry>
  <catgry>
    <catValu>1379</catValu>
    <labl>1379</labl>
  </catgry>
  <catgry>
    <catValu>1378</catValu>
    <labl>1378</labl>
  </catgry>
  <catgry>
    <catValu>1377</catValu>
    <labl>1377</labl>
  </catgry>
  <catgry>
    <catValu>1374</catValu>
    <labl>1374</labl>
  </catgry>
  <catgry>
    <catValu>1373</catValu>
    <labl>1373</labl>
  </catgry>
  <catgry>
    <catValu>1372</catValu>
    <labl>1372</labl>
  </catgry>
  <catgry>
    <catValu>1369</catValu>
    <labl>1369</labl>
  </catgry>
  <catgry>
    <catValu>1365</catValu>
    <labl>1365</labl>
  </catgry>
  <catgry>
    <catValu>1364</catValu>
    <labl>1364</labl>
  </catgry>
  <catgry>
    <catValu>1361</catValu>
    <labl>1361</labl>
  </catgry>
  <catgry>
    <catValu>1358</catValu>
    <labl>1358</labl>
  </catgry>
  <catgry>
    <catValu>1355</catValu>
    <labl>1355</labl>
  </catgry>
  <catgry>
    <catValu>1354</catValu>
    <labl>1354</labl>
  </catgry>
  <catgry>
    <catValu>1353</catValu>
    <labl>1353</labl>
  </catgry>
  <catgry>
    <catValu>1350</catValu>
    <labl>1350</labl>
  </catgry>
  <catgry>
    <catValu>1346</catValu>
    <labl>1346</labl>
  </catgry>
  <catgry>
    <catValu>1344</catValu>
    <labl>1344</labl>
  </catgry>
  <catgry>
    <catValu>1339</catValu>
    <labl>1339</labl>
  </catgry>
  <catgry>
    <catValu>1338</catValu>
    <labl>1338</labl>
  </catgry>
  <catgry>
    <catValu>1333</catValu>
    <labl>1333</labl>
  </catgry>
  <catgry>
    <catValu>1332</catValu>
    <labl>1332</labl>
  </catgry>
  <catgry>
    <catValu>1330</catValu>
    <labl>1330</labl>
  </catgry>
  <catgry>
    <catValu>1329</catValu>
    <labl>1329</labl>
  </catgry>
  <catgry>
    <catValu>1328</catValu>
    <labl>1328</labl>
  </catgry>
  <catgry>
    <catValu>1327</catValu>
    <labl>1327</labl>
  </catgry>
  <catgry>
    <catValu>1326</catValu>
    <labl>1326</labl>
  </catgry>
  <catgry>
    <catValu>1325</catValu>
    <labl>1325</labl>
  </catgry>
  <catgry>
    <catValu>1320</catValu>
    <labl>1320</labl>
  </catgry>
  <catgry>
    <catValu>1318</catValu>
    <labl>1318</labl>
  </catgry>
  <catgry>
    <catValu>1307</catValu>
    <labl>1307</labl>
  </catgry>
  <catgry>
    <catValu>1305</catValu>
    <labl>1305</labl>
  </catgry>
  <catgry>
    <catValu>1302</catValu>
    <labl>1302</labl>
  </catgry>
  <catgry>
    <catValu>1299</catValu>
    <labl>1299</labl>
  </catgry>
  <catgry>
    <catValu>1296</catValu>
    <labl>1296</labl>
  </catgry>
  <catgry>
    <catValu>1290</catValu>
    <labl>1290</labl>
  </catgry>
  <catgry>
    <catValu>1288</catValu>
    <labl>1288</labl>
  </catgry>
  <catgry>
    <catValu>1287</catValu>
    <labl>1287</labl>
  </catgry>
  <catgry>
    <catValu>1285</catValu>
    <labl>1285</labl>
  </catgry>
  <catgry>
    <catValu>1283</catValu>
    <labl>1283</labl>
  </catgry>
  <catgry>
    <catValu>1281</catValu>
    <labl>1281</labl>
  </catgry>
  <catgry>
    <catValu>1280</catValu>
    <labl>1280</labl>
  </catgry>
  <catgry>
    <catValu>1277</catValu>
    <labl>1277</labl>
  </catgry>
  <catgry>
    <catValu>1274</catValu>
    <labl>1274</labl>
  </catgry>
  <catgry>
    <catValu>1273</catValu>
    <labl>1273</labl>
  </catgry>
  <catgry>
    <catValu>1271</catValu>
    <labl>1271</labl>
  </catgry>
  <catgry>
    <catValu>1269</catValu>
    <labl>1269</labl>
  </catgry>
  <catgry>
    <catValu>1268</catValu>
    <labl>1268</labl>
  </catgry>
  <catgry>
    <catValu>1264</catValu>
    <labl>1264</labl>
  </catgry>
  <catgry>
    <catValu>1262</catValu>
    <labl>1262</labl>
  </catgry>
  <catgry>
    <catValu>1258</catValu>
    <labl>1258</labl>
  </catgry>
  <catgry>
    <catValu>1257</catValu>
    <labl>1257</labl>
  </catgry>
  <catgry>
    <catValu>1255</catValu>
    <labl>1255</labl>
  </catgry>
  <catgry>
    <catValu>1250</catValu>
    <labl>1250</labl>
  </catgry>
  <catgry>
    <catValu>1249</catValu>
    <labl>1249</labl>
  </catgry>
  <catgry>
    <catValu>1248</catValu>
    <labl>1248</labl>
  </catgry>
  <catgry>
    <catValu>1247</catValu>
    <labl>1247</labl>
  </catgry>
  <catgry>
    <catValu>1246</catValu>
    <labl>1246</labl>
  </catgry>
  <catgry>
    <catValu>1244</catValu>
    <labl>1244</labl>
  </catgry>
  <catgry>
    <catValu>1243</catValu>
    <labl>1243</labl>
  </catgry>
  <catgry>
    <catValu>1242</catValu>
    <labl>1242</labl>
  </catgry>
  <catgry>
    <catValu>1241</catValu>
    <labl>1241</labl>
  </catgry>
  <catgry>
    <catValu>1240</catValu>
    <labl>1240</labl>
  </catgry>
  <catgry>
    <catValu>1239</catValu>
    <labl>1239</labl>
  </catgry>
  <catgry>
    <catValu>1231</catValu>
    <labl>1231</labl>
  </catgry>
  <catgry>
    <catValu>1223</catValu>
    <labl>1223</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>1220</labl>
  </catgry>
  <catgry>
    <catValu>1213</catValu>
    <labl>1213</labl>
  </catgry>
  <catgry>
    <catValu>1209</catValu>
    <labl>1209</labl>
  </catgry>
  <catgry>
    <catValu>1207</catValu>
    <labl>1207</labl>
  </catgry>
  <catgry>
    <catValu>1206</catValu>
    <labl>1206</labl>
  </catgry>
  <catgry>
    <catValu>1202</catValu>
    <labl>1202</labl>
  </catgry>
  <catgry>
    <catValu>1199</catValu>
    <labl>1199</labl>
  </catgry>
  <catgry>
    <catValu>1197</catValu>
    <labl>1197</labl>
  </catgry>
  <catgry>
    <catValu>1193</catValu>
    <labl>1193</labl>
  </catgry>
  <catgry>
    <catValu>1191</catValu>
    <labl>1191</labl>
  </catgry>
  <catgry>
    <catValu>1187</catValu>
    <labl>1187</labl>
  </catgry>
  <catgry>
    <catValu>1185</catValu>
    <labl>1185</labl>
  </catgry>
  <catgry>
    <catValu>1184</catValu>
    <labl>1184</labl>
  </catgry>
  <catgry>
    <catValu>1179</catValu>
    <labl>1179</labl>
  </catgry>
  <catgry>
    <catValu>1178</catValu>
    <labl>1178</labl>
  </catgry>
  <catgry>
    <catValu>1177</catValu>
    <labl>1177</labl>
  </catgry>
  <catgry>
    <catValu>1173</catValu>
    <labl>1173</labl>
  </catgry>
  <catgry>
    <catValu>1170</catValu>
    <labl>1170</labl>
  </catgry>
  <catgry>
    <catValu>1167</catValu>
    <labl>1167</labl>
  </catgry>
  <catgry>
    <catValu>1165</catValu>
    <labl>1165</labl>
  </catgry>
  <catgry>
    <catValu>1164</catValu>
    <labl>1164</labl>
  </catgry>
  <catgry>
    <catValu>1163</catValu>
    <labl>1163</labl>
  </catgry>
  <catgry>
    <catValu>1160</catValu>
    <labl>1160</labl>
  </catgry>
  <catgry>
    <catValu>1159</catValu>
    <labl>1159</labl>
  </catgry>
  <catgry>
    <catValu>1158</catValu>
    <labl>1158</labl>
  </catgry>
  <catgry>
    <catValu>1153</catValu>
    <labl>1153</labl>
  </catgry>
  <catgry>
    <catValu>1151</catValu>
    <labl>1151</labl>
  </catgry>
  <catgry>
    <catValu>1143</catValu>
    <labl>1143</labl>
  </catgry>
  <catgry>
    <catValu>1135</catValu>
    <labl>1135</labl>
  </catgry>
  <catgry>
    <catValu>1134</catValu>
    <labl>1134</labl>
  </catgry>
  <catgry>
    <catValu>1127</catValu>
    <labl>1127</labl>
  </catgry>
  <catgry>
    <catValu>1125</catValu>
    <labl>1125</labl>
  </catgry>
  <catgry>
    <catValu>1124</catValu>
    <labl>1124</labl>
  </catgry>
  <catgry>
    <catValu>1118</catValu>
    <labl>1118</labl>
  </catgry>
  <catgry>
    <catValu>1116</catValu>
    <labl>1116</labl>
  </catgry>
  <catgry>
    <catValu>1115</catValu>
    <labl>1115</labl>
  </catgry>
  <catgry>
    <catValu>1113</catValu>
    <labl>1113</labl>
  </catgry>
  <catgry>
    <catValu>1111</catValu>
    <labl>1111</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>1110</labl>
  </catgry>
  <catgry>
    <catValu>1109</catValu>
    <labl>1109</labl>
  </catgry>
  <catgry>
    <catValu>1108</catValu>
    <labl>1108</labl>
  </catgry>
  <catgry>
    <catValu>1107</catValu>
    <labl>1107</labl>
  </catgry>
  <catgry>
    <catValu>1105</catValu>
    <labl>1105</labl>
  </catgry>
  <catgry>
    <catValu>1103</catValu>
    <labl>1103</labl>
  </catgry>
  <catgry>
    <catValu>1102</catValu>
    <labl>1102</labl>
  </catgry>
  <catgry>
    <catValu>1096</catValu>
    <labl>1096</labl>
  </catgry>
  <catgry>
    <catValu>1092</catValu>
    <labl>1092</labl>
  </catgry>
  <catgry>
    <catValu>1090</catValu>
    <labl>1090</labl>
  </catgry>
  <catgry>
    <catValu>1084</catValu>
    <labl>1084</labl>
  </catgry>
  <catgry>
    <catValu>1079</catValu>
    <labl>1079</labl>
  </catgry>
  <catgry>
    <catValu>1068</catValu>
    <labl>1068</labl>
  </catgry>
  <catgry>
    <catValu>1066</catValu>
    <labl>1066</labl>
  </catgry>
  <catgry>
    <catValu>1065</catValu>
    <labl>1065</labl>
  </catgry>
  <catgry>
    <catValu>1062</catValu>
    <labl>1062</labl>
  </catgry>
  <catgry>
    <catValu>1058</catValu>
    <labl>1058</labl>
  </catgry>
  <catgry>
    <catValu>1049</catValu>
    <labl>1049</labl>
  </catgry>
  <catgry>
    <catValu>1047</catValu>
    <labl>1047</labl>
  </catgry>
  <catgry>
    <catValu>1036</catValu>
    <labl>1036</labl>
  </catgry>
  <txt>INTSTARTCMC reports the century month code (CMC) for the first month the survey was fielded, according to the DHS Program website.

The contextual variables in IPUMS DHS use the month in INTSTARTCMC as the month of the survey start date. The related variable INTENDCMC reports the century month code for the last month the survey was fielded, according to the DHS Program website.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year - 1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006). [URL omitted from DDI.].

The century month codes reported in INTSTARTCMC are calculated using the Gregorian calculator.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_INTENDCMC" name="B_INTENDCMC" files="B" intrvl="discrete">
  <labl>Century month code (CMC) for end of survey</labl>
  <imputation>Century month code (CMC) for end of survey</imputation>
  <security>Century month code (CMC) for end of survey</security>
  <embargo>Century month code (CMC) for end of survey</embargo>
  <respUnit>Century month code (CMC) for end of survey</respUnit>
  <catgry>
    <catValu>1418</catValu>
    <labl>1418</labl>
  </catgry>
  <catgry>
    <catValu>1417</catValu>
    <labl>1417</labl>
  </catgry>
  <catgry>
    <catValu>1403</catValu>
    <labl>1403</labl>
  </catgry>
  <catgry>
    <catValu>1420</catValu>
    <labl>1420</labl>
  </catgry>
  <catgry>
    <catValu>1039</catValu>
    <labl>1039</labl>
  </catgry>
  <catgry>
    <catValu>1051</catValu>
    <labl>1051</labl>
  </catgry>
  <catgry>
    <catValu>1052</catValu>
    <labl>1052</labl>
  </catgry>
  <catgry>
    <catValu>1062</catValu>
    <labl>1062</labl>
  </catgry>
  <catgry>
    <catValu>1066</catValu>
    <labl>1066</labl>
  </catgry>
  <catgry>
    <catValu>1069</catValu>
    <labl>1069</labl>
  </catgry>
  <catgry>
    <catValu>1070</catValu>
    <labl>1070</labl>
  </catgry>
  <catgry>
    <catValu>1073</catValu>
    <labl>1073</labl>
  </catgry>
  <catgry>
    <catValu>1085</catValu>
    <labl>1085</labl>
  </catgry>
  <catgry>
    <catValu>1090</catValu>
    <labl>1090</labl>
  </catgry>
  <catgry>
    <catValu>1092</catValu>
    <labl>1092</labl>
  </catgry>
  <catgry>
    <catValu>1097</catValu>
    <labl>1097</labl>
  </catgry>
  <catgry>
    <catValu>1101</catValu>
    <labl>1101</labl>
  </catgry>
  <catgry>
    <catValu>1105</catValu>
    <labl>1105</labl>
  </catgry>
  <catgry>
    <catValu>1107</catValu>
    <labl>1107</labl>
  </catgry>
  <catgry>
    <catValu>1108</catValu>
    <labl>1108</labl>
  </catgry>
  <catgry>
    <catValu>1109</catValu>
    <labl>1109</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>1110</labl>
  </catgry>
  <catgry>
    <catValu>1114</catValu>
    <labl>1114</labl>
  </catgry>
  <catgry>
    <catValu>1115</catValu>
    <labl>1115</labl>
  </catgry>
  <catgry>
    <catValu>1118</catValu>
    <labl>1118</labl>
  </catgry>
  <catgry>
    <catValu>1119</catValu>
    <labl>1119</labl>
  </catgry>
  <catgry>
    <catValu>1124</catValu>
    <labl>1124</labl>
  </catgry>
  <catgry>
    <catValu>1125</catValu>
    <labl>1125</labl>
  </catgry>
  <catgry>
    <catValu>1126</catValu>
    <labl>1126</labl>
  </catgry>
  <catgry>
    <catValu>1130</catValu>
    <labl>1130</labl>
  </catgry>
  <catgry>
    <catValu>1131</catValu>
    <labl>1131</labl>
  </catgry>
  <catgry>
    <catValu>1139</catValu>
    <labl>1139</labl>
  </catgry>
  <catgry>
    <catValu>1148</catValu>
    <labl>1148</labl>
  </catgry>
  <catgry>
    <catValu>1153</catValu>
    <labl>1153</labl>
  </catgry>
  <catgry>
    <catValu>1157</catValu>
    <labl>1157</labl>
  </catgry>
  <catgry>
    <catValu>1158</catValu>
    <labl>1158</labl>
  </catgry>
  <catgry>
    <catValu>1160</catValu>
    <labl>1160</labl>
  </catgry>
  <catgry>
    <catValu>1163</catValu>
    <labl>1163</labl>
  </catgry>
  <catgry>
    <catValu>1165</catValu>
    <labl>1165</labl>
  </catgry>
  <catgry>
    <catValu>1167</catValu>
    <labl>1167</labl>
  </catgry>
  <catgry>
    <catValu>1168</catValu>
    <labl>1168</labl>
  </catgry>
  <catgry>
    <catValu>1171</catValu>
    <labl>1171</labl>
  </catgry>
  <catgry>
    <catValu>1174</catValu>
    <labl>1174</labl>
  </catgry>
  <catgry>
    <catValu>1176</catValu>
    <labl>1176</labl>
  </catgry>
  <catgry>
    <catValu>1182</catValu>
    <labl>1182</labl>
  </catgry>
  <catgry>
    <catValu>1183</catValu>
    <labl>1183</labl>
  </catgry>
  <catgry>
    <catValu>1185</catValu>
    <labl>1185</labl>
  </catgry>
  <catgry>
    <catValu>1187</catValu>
    <labl>1187</labl>
  </catgry>
  <catgry>
    <catValu>1190</catValu>
    <labl>1190</labl>
  </catgry>
  <catgry>
    <catValu>1191</catValu>
    <labl>1191</labl>
  </catgry>
  <catgry>
    <catValu>1193</catValu>
    <labl>1193</labl>
  </catgry>
  <catgry>
    <catValu>1195</catValu>
    <labl>1195</labl>
  </catgry>
  <catgry>
    <catValu>1199</catValu>
    <labl>1199</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>1200</labl>
  </catgry>
  <catgry>
    <catValu>1203</catValu>
    <labl>1203</labl>
  </catgry>
  <catgry>
    <catValu>1204</catValu>
    <labl>1204</labl>
  </catgry>
  <catgry>
    <catValu>1205</catValu>
    <labl>1205</labl>
  </catgry>
  <catgry>
    <catValu>1207</catValu>
    <labl>1207</labl>
  </catgry>
  <catgry>
    <catValu>1208</catValu>
    <labl>1208</labl>
  </catgry>
  <catgry>
    <catValu>1211</catValu>
    <labl>1211</labl>
  </catgry>
  <catgry>
    <catValu>1212</catValu>
    <labl>1212</labl>
  </catgry>
  <catgry>
    <catValu>1215</catValu>
    <labl>1215</labl>
  </catgry>
  <catgry>
    <catValu>1217</catValu>
    <labl>1217</labl>
  </catgry>
  <catgry>
    <catValu>1218</catValu>
    <labl>1218</labl>
  </catgry>
  <catgry>
    <catValu>1223</catValu>
    <labl>1223</labl>
  </catgry>
  <catgry>
    <catValu>1229</catValu>
    <labl>1229</labl>
  </catgry>
  <catgry>
    <catValu>1233</catValu>
    <labl>1233</labl>
  </catgry>
  <catgry>
    <catValu>1242</catValu>
    <labl>1242</labl>
  </catgry>
  <catgry>
    <catValu>1244</catValu>
    <labl>1244</labl>
  </catgry>
  <catgry>
    <catValu>1245</catValu>
    <labl>1245</labl>
  </catgry>
  <catgry>
    <catValu>1246</catValu>
    <labl>1246</labl>
  </catgry>
  <catgry>
    <catValu>1247</catValu>
    <labl>1247</labl>
  </catgry>
  <catgry>
    <catValu>1249</catValu>
    <labl>1249</labl>
  </catgry>
  <catgry>
    <catValu>1250</catValu>
    <labl>1250</labl>
  </catgry>
  <catgry>
    <catValu>1251</catValu>
    <labl>1251</labl>
  </catgry>
  <catgry>
    <catValu>1253</catValu>
    <labl>1253</labl>
  </catgry>
  <catgry>
    <catValu>1256</catValu>
    <labl>1256</labl>
  </catgry>
  <catgry>
    <catValu>1261</catValu>
    <labl>1261</labl>
  </catgry>
  <catgry>
    <catValu>1262</catValu>
    <labl>1262</labl>
  </catgry>
  <catgry>
    <catValu>1265</catValu>
    <labl>1265</labl>
  </catgry>
  <catgry>
    <catValu>1266</catValu>
    <labl>1266</labl>
  </catgry>
  <catgry>
    <catValu>1267</catValu>
    <labl>1267</labl>
  </catgry>
  <catgry>
    <catValu>1268</catValu>
    <labl>1268</labl>
  </catgry>
  <catgry>
    <catValu>1272</catValu>
    <labl>1272</labl>
  </catgry>
  <catgry>
    <catValu>1274</catValu>
    <labl>1274</labl>
  </catgry>
  <catgry>
    <catValu>1275</catValu>
    <labl>1275</labl>
  </catgry>
  <catgry>
    <catValu>1276</catValu>
    <labl>1276</labl>
  </catgry>
  <catgry>
    <catValu>1277</catValu>
    <labl>1277</labl>
  </catgry>
  <catgry>
    <catValu>1280</catValu>
    <labl>1280</labl>
  </catgry>
  <catgry>
    <catValu>1282</catValu>
    <labl>1282</labl>
  </catgry>
  <catgry>
    <catValu>1283</catValu>
    <labl>1283</labl>
  </catgry>
  <catgry>
    <catValu>1284</catValu>
    <labl>1284</labl>
  </catgry>
  <catgry>
    <catValu>1286</catValu>
    <labl>1286</labl>
  </catgry>
  <catgry>
    <catValu>1287</catValu>
    <labl>1287</labl>
  </catgry>
  <catgry>
    <catValu>1292</catValu>
    <labl>1292</labl>
  </catgry>
  <catgry>
    <catValu>1294</catValu>
    <labl>1294</labl>
  </catgry>
  <catgry>
    <catValu>1295</catValu>
    <labl>1295</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>1300</labl>
  </catgry>
  <catgry>
    <catValu>1302</catValu>
    <labl>1302</labl>
  </catgry>
  <catgry>
    <catValu>1306</catValu>
    <labl>1306</labl>
  </catgry>
  <catgry>
    <catValu>1307</catValu>
    <labl>1307</labl>
  </catgry>
  <catgry>
    <catValu>1310</catValu>
    <labl>1310</labl>
  </catgry>
  <catgry>
    <catValu>1316</catValu>
    <labl>1316</labl>
  </catgry>
  <catgry>
    <catValu>1320</catValu>
    <labl>1320</labl>
  </catgry>
  <catgry>
    <catValu>1321</catValu>
    <labl>1321</labl>
  </catgry>
  <catgry>
    <catValu>1325</catValu>
    <labl>1325</labl>
  </catgry>
  <catgry>
    <catValu>1331</catValu>
    <labl>1331</labl>
  </catgry>
  <catgry>
    <catValu>1333</catValu>
    <labl>1333</labl>
  </catgry>
  <catgry>
    <catValu>1335</catValu>
    <labl>1335</labl>
  </catgry>
  <catgry>
    <catValu>1336</catValu>
    <labl>1336</labl>
  </catgry>
  <catgry>
    <catValu>1337</catValu>
    <labl>1337</labl>
  </catgry>
  <catgry>
    <catValu>1338</catValu>
    <labl>1338</labl>
  </catgry>
  <catgry>
    <catValu>1340</catValu>
    <labl>1340</labl>
  </catgry>
  <catgry>
    <catValu>1343</catValu>
    <labl>1343</labl>
  </catgry>
  <catgry>
    <catValu>1344</catValu>
    <labl>1344</labl>
  </catgry>
  <catgry>
    <catValu>1347</catValu>
    <labl>1347</labl>
  </catgry>
  <catgry>
    <catValu>1349</catValu>
    <labl>1349</labl>
  </catgry>
  <catgry>
    <catValu>1350</catValu>
    <labl>1350</labl>
  </catgry>
  <catgry>
    <catValu>1354</catValu>
    <labl>1354</labl>
  </catgry>
  <catgry>
    <catValu>1356</catValu>
    <labl>1356</labl>
  </catgry>
  <catgry>
    <catValu>1358</catValu>
    <labl>1358</labl>
  </catgry>
  <catgry>
    <catValu>1360</catValu>
    <labl>1360</labl>
  </catgry>
  <catgry>
    <catValu>1362</catValu>
    <labl>1362</labl>
  </catgry>
  <catgry>
    <catValu>1365</catValu>
    <labl>1365</labl>
  </catgry>
  <catgry>
    <catValu>1367</catValu>
    <labl>1367</labl>
  </catgry>
  <catgry>
    <catValu>1370</catValu>
    <labl>1370</labl>
  </catgry>
  <catgry>
    <catValu>1372</catValu>
    <labl>1372</labl>
  </catgry>
  <catgry>
    <catValu>1374</catValu>
    <labl>1374</labl>
  </catgry>
  <catgry>
    <catValu>1378</catValu>
    <labl>1378</labl>
  </catgry>
  <catgry>
    <catValu>1379</catValu>
    <labl>1379</labl>
  </catgry>
  <catgry>
    <catValu>1380</catValu>
    <labl>1380</labl>
  </catgry>
  <catgry>
    <catValu>1384</catValu>
    <labl>1384</labl>
  </catgry>
  <catgry>
    <catValu>1390</catValu>
    <labl>1390</labl>
  </catgry>
  <catgry>
    <catValu>1392</catValu>
    <labl>1392</labl>
  </catgry>
  <catgry>
    <catValu>1394</catValu>
    <labl>1394</labl>
  </catgry>
  <catgry>
    <catValu>1398</catValu>
    <labl>1398</labl>
  </catgry>
  <catgry>
    <catValu>1399</catValu>
    <labl>1399</labl>
  </catgry>
  <catgry>
    <catValu>1402</catValu>
    <labl>1402</labl>
  </catgry>
  <catgry>
    <catValu>1404</catValu>
    <labl>1404</labl>
  </catgry>
  <catgry>
    <catValu>1405</catValu>
    <labl>1405</labl>
  </catgry>
  <catgry>
    <catValu>1406</catValu>
    <labl>1406</labl>
  </catgry>
  <catgry>
    <catValu>1416</catValu>
    <labl>1416</labl>
  </catgry>
  <txt>INTENDCMC reports the century month code (CMC) for the last month the survey was fielded, according to the DHS Program website.

The related variable INTSTARTCMC reports the century month code for the first month the survey was fielded, according to the DHS Program website. The contextual variables in IPUMS DHS use the month in INTSTARTCMC as the month of the survey start date.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year - 1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006). [URL omitted from DDI.].

The century month codes reported in INTENDCMC are calculated using the Gregorian calculator.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_INTSTART" name="B_INTSTART" files="B" intrvl="discrete">
  <labl>Time interview started (hhmm - 24 hour clock)</labl>
  <imputation>Time interview started (hhmm - 24 hour clock)</imputation>
  <security>Time interview started (hhmm - 24 hour clock)</security>
  <embargo>Time interview started (hhmm - 24 hour clock)</embargo>
  <respUnit>Time interview started (hhmm - 24 hour clock)</respUnit>
  <qstn>
    <qstnLit>101) RECORD TIME

HOUR: ___
MINUTES: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>INTSTART (V801) reports the time of the start of the interview. The first two digits give the time in hours using the 24-hour clock, and the last two digits give the minutes within that hour. For example, a code of "1349" indicates the interview began at 1:49 P.M.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_INTEND" name="B_INTEND" files="B" intrvl="discrete">
  <labl>Time interview ended (hhmm - 24 hour clock)</labl>
  <imputation>Time interview ended (hhmm - 24 hour clock)</imputation>
  <security>Time interview ended (hhmm - 24 hour clock)</security>
  <embargo>Time interview ended (hhmm - 24 hour clock)</embargo>
  <respUnit>Time interview ended (hhmm - 24 hour clock)</respUnit>
  <qstn>
    <qstnLit>819) RECORD TIME

HOUR: ___
MINUTES: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>INTEND (V802) reports the time of the end of the interview. The first two digits give the time in hours using the 24-hour clock, and the last two digits give the minutes within that hour. For example, a code of "1349" indicates the interview ended at 1:49 P.M.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_INTDURATION" name="B_INTDURATION" files="B" intrvl="discrete">
  <labl>Length of interview (minutes)</labl>
  <imputation>Length of interview (minutes)</imputation>
  <security>Length of interview (minutes)</security>
  <embargo>Length of interview (minutes)</embargo>
  <respUnit>Length of interview (minutes)</respUnit>
  <qstn>
    <qstnLit>819) RECORD TIME

HOUR: ___
MINUTES: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>0 minutes</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>95+</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>2+ visits</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>INTDURATION (V803) reports the duration of the female interview (in minutes). The duration is top-coded at 95 minutes. Interviews that required more than one visit (INTVISITNO (V804) are coded as "96" for "2+ visits."

INTDURATION is calculated based on the interview's start and end times in INTSTART (V801) and INTEND (V802).</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_INTVISITNO" name="B_INTVISITNO" files="B" intrvl="discrete">
  <labl>Number of visits for the interview</labl>
  <imputation>Number of visits for the interview</imputation>
  <security>Number of visits for the interview</security>
  <embargo>Number of visits for the interview</embargo>
  <respUnit>Number of visits for the interview</respUnit>
  <qstn>
    <qstnLit>TOTAL NUMBER OF VISITS ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>INTVISITNO (V804) reports the number of visits required to complete the female interview.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_INTRESULT" name="B_INTRESULT" files="B" intrvl="discrete">
  <labl>Result of individual interview</labl>
  <imputation>Result of individual interview</imputation>
  <security>Result of individual interview</security>
  <embargo>Result of individual interview</embargo>
  <respUnit>Result of individual interview</respUnit>
  <qstn>
    <qstnLit>COMPLETED 1
NOT AT HOME 2
POSTPONED 3
REFUSED 4
PARTIALLY FILLED OUT 5
OTHER (SPECIFY): ___ 6</qstnLit>
  </qstn>
  <catgry>
    <catValu>7</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Respondent Incapacitated</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Partly completed</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Refused</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Postponed</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Not at home</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Completed</labl>
  </catgry>
  <txt>INTRESULT (V015) reports the result of the individual interview. Code 1 represents a completed interview.  Only completed interview cases are included in the DHS women's individual recode files, which provide the source material for IPUMS-DHS.</txt>
  <concept>
    <title>General technical Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_EVMARALLSAMP" name="B_EVMARALLSAMP" files="B" intrvl="discrete">
  <labl>Ever-married or all-women sample</labl>
  <imputation>Ever-married or all-women sample</imputation>
  <security>Ever-married or all-women sample</security>
  <embargo>Ever-married or all-women sample</embargo>
  <respUnit>Ever-married or all-women sample</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>All women sample</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Ever-married women sample</labl>
  </catgry>
  <txt>EVMARALLSAMP (V020) indicates whether the sample includes only ever-married women or includes all women of childbearing age.</txt>
  <concept>
    <title>General technical Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_INTERVIEWERIDIR" name="B_INTERVIEWERIDIR" files="B" intrvl="discrete">
  <labl>Identification number of interviewer, women's survey</labl>
  <imputation>Identification number of interviewer, women's survey</imputation>
  <security>Identification number of interviewer, women's survey</security>
  <embargo>Identification number of interviewer, women's survey</embargo>
  <respUnit>Identification number of interviewer, women's survey</respUnit>
  <qstn>
    <qstnLit>INTERVIEWER:
(REPEAT FOR SECOND AND THIRD INTERVIEWERS)
DATE__
DAY__
MONTH__
YEAR__
INTERVIEWER NAME___
RESULTS___

NEXT VISIT [FOR INTERVIEWERS 1 AND 2]:
DATE__
TIME__

FINAL VISIT:
DAY__
MONTH__
YEAR 19__
INTERVIEWER__
RESULT__</qstnLit>
  </qstn>
  <txt>INTERVIEWERIDIR (V028) reports the interviewer identification code for the interviewer conducting the individual women's interviews for women of childbearing age. Codes are country- and sample-specific; a given numeric code in one survey refers to a different person than the same numeric code in another survey. Numbering of interviewer codes is not necessarily consecutive; some surveys use "0" as an identification code, for example, while others begin with a 3-digit number. Using the interviewer identification codes, researchers can evaluate whether the quality of responses (e.g., the number of "missing" cases) depended on the person conducting the interview.</txt>
  <concept>
    <title>General technical Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_INTERVIEWERIDHH" name="B_INTERVIEWERIDHH" files="B" intrvl="discrete">
  <labl>Identification number of interviewer, household survey</labl>
  <imputation>Identification number of interviewer, household survey</imputation>
  <security>Identification number of interviewer, household survey</security>
  <embargo>Identification number of interviewer, household survey</embargo>
  <respUnit>Identification number of interviewer, household survey</respUnit>
  <qstn>
    <qstnLit>INTERVIEWER:
(REPEAT FOR SECOND AND THIRD INTERVIEWERS)
DATE__
DAY__
MONTH__
YEAR__
INTERVIEWER NAME___
RESULTS___</qstnLit>
  </qstn>
  <txt>INTERVIEWERIDHH (HV018) reports the interviewer identification code for the interviewer conducting the household survey. Codes are country- and sample-specific; a given numeric code in one survey refers to a different person than the same numeric code in another survey. Numbering of interviewer codes is not necessarily consecutive; some surveys use "0" as an identification code, for example, while others begin with a 3-digit number. Using the interviewer identification codes, researchers can evaluate whether the quality of responses (e.g., the number of "missing" cases) depended on the person conducting the interview.</txt>
  <concept>
    <title>General technical Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_URBAN" name="B_URBAN" files="B" intrvl="discrete">
  <labl>Urban-rural status</labl>
  <imputation>Urban-rural status</imputation>
  <security>Urban-rural status</security>
  <embargo>Urban-rural status</embargo>
  <respUnit>Urban-rural status</respUnit>
  <qstn>
    <qstnLit>VILLAGE/QUARTER ___

NIAMEY 1
AGADEZ, MARADI, TAHOUA, ZINDER 2
OTHER CITY 3
RURAL 4</qstnLit>
  </qstn>
  <catgry>
    <catValu>2</catValu>
    <labl>Rural</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Urban</labl>
  </catgry>
  <txt>URBAN (V025) indicates whether the person's de facto residence was in an urban or rural location. The definition of urban varies across countries. See Comparability.</txt>
  <concept>
    <title>Geography, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_DEFACTORES" name="B_DEFACTORES" files="B" intrvl="discrete">
  <labl>De facto place of residence</labl>
  <imputation>De facto place of residence</imputation>
  <security>De facto place of residence</security>
  <embargo>De facto place of residence</embargo>
  <respUnit>De facto place of residence</respUnit>
  <qstn>
    <qstnLit>VILLAGE/QUARTER ___

NIAMEY 1
AGADEZ, MARADI, TAHOUA, ZINDER 2
OTHER CITY 3
RURAL 4</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>City</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Capital or other large city</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Other city</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Town or countryside</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Town</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Countryside</labl>
  </catgry>
  <txt>DEFACTORES (V026) reports the type of place--city, town, or countryside--where the person was interviewed.</txt>
  <concept>
    <title>Geography, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_RESIDEINTYR" name="B_RESIDEINTYR" files="B" intrvl="discrete">
  <labl>Years lived in place of residence</labl>
  <imputation>Years lived in place of residence</imputation>
  <security>Years lived in place of residence</security>
  <embargo>Years lived in place of residence</embargo>
  <respUnit>Years lived in place of residence</respUnit>
  <qstn>
    <qstnLit>103) For how long have you been a long-term resident of (NAME OF CURRENT RESIDENCE)?

NUMBER OF YEARS: ___
ALWAYS 95 (GO TO 105)
JUST VISITING 96 (GO TO 105)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Always</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Visitor</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RESIDEINTYR (V104) reports the number of years the woman had been living continuously in the village, town, or city where she was interviewed.</txt>
  <concept>
    <title>Migration Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PREVRESTYP" name="B_PREVRESTYP" files="B" intrvl="discrete">
  <labl>Type of place of previous residence</labl>
  <imputation>Type of place of previous residence</imputation>
  <security>Type of place of previous residence</security>
  <embargo>Type of place of previous residence</embargo>
  <respUnit>Type of place of previous residence</respUnit>
  <qstn>
    <qstnLit>104) Just before moving here, did you live in the city of Niamey, in another capital in Agadez, Maradi, Tahous, Zinder or other large foreign city, in a town or the country?

NIAMEY/OTHER CAPITAL 1
AGADEZ/MARADI/TAOUA/ZINDER/OTHER LARGE FOREIGN CITY 2
TOWN 3
COUNTRY 4</qstnLit>
  </qstn>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Other or abroad</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Town or countryside</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Other city</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Capital or other large city</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>City</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Abroad</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Town</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Countryside</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Separated camp</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Tribal area</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Informal settlement</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>Other, unspecified</labl>
  </catgry>
  <txt>PREVRESTYP (V105) reports the type of place--city, town, countryside, or a site abroad--where the person lived just before moving to the current place of residence.</txt>
  <concept>
    <title>Migration Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_KIDRESTYP" name="B_KIDRESTYP" files="B" intrvl="discrete">
  <labl>Childhood place of residence</labl>
  <imputation>Childhood place of residence</imputation>
  <security>Childhood place of residence</security>
  <embargo>Childhood place of residence</embargo>
  <respUnit>Childhood place of residence</respUnit>
  <qstn>
    <qstnLit>102) To begin, I'd like to ask you some questions about yourself and your household.
During the majority of the first 12 years of your life, did you live in the city of Niamey, in another capital in Agadez, Maradi, Tahous, Zinder or other large foreign city, in a town or the country?

NIAMEY/OTHER CAPITAL 1
AGADEZ/MARADI/TAOUA/ZINDER/OTHER LARGE FOREIGN CITY 2
TOWN 3
COUNTRY 4</qstnLit>
  </qstn>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Town or countryside</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Other city or town</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Other city</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Capital or large city</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>City</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Abroad</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Town</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Countryside</labl>
  </catgry>
  <txt>KIDRESTYP (V103) reports the type of place--city, town, countryside, or somewhere abroad--where the woman lived for most of her childhood (usually defined as prior to age 12). Due to country- and survey-level variation in data collection, IPUMS-DHS uses composite coding to maximize comparability across samples for this variable.</txt>
  <concept>
    <title>Migration Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_GEO_NE1992_2012" name="B_GEO_NE1992_2012" files="B" intrvl="discrete">
  <labl>Niger regions, 1992-2012 [integrated; GIS]</labl>
  <imputation>Niger regions, 1992-2012 [integrated; GIS]</imputation>
  <security>Niger regions, 1992-2012 [integrated; GIS]</security>
  <embargo>Niger regions, 1992-2012 [integrated; GIS]</embargo>
  <respUnit>Niger regions, 1992-2012 [integrated; GIS]</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>Tahoua/Agadez</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Zinder/Diffa</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Dossa</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Maradi</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Tillaberi</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Niamey</labl>
  </catgry>
  <txt>GEO_ NE1992_2012 indicates the region of Niger where the respondent was interviewed. The variable is integrated to yield units with consistent boundaries across samples.

Labels identify the modern geographic units (regions) contained in each integrated region. Each sample also has its own non-integrated geography variable. The 1992, 2006, and 2012 samples have greater geographic detail available in their sample-specific variables.

An integrated GIS map (in shapefile format) for Niger can be downloaded here [URL omitted from DDI.].</txt>
  <concept>
    <title>Integrated geography Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_GEO_NE1992" name="B_GEO_NE1992" files="B" intrvl="discrete">
  <labl>Niger regions, 1992 [GIS]</labl>
  <imputation>Niger regions, 1992 [GIS]</imputation>
  <security>Niger regions, 1992 [GIS]</security>
  <embargo>Niger regions, 1992 [GIS]</embargo>
  <respUnit>Niger regions, 1992 [GIS]</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>Niamey</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Agadez</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Diffa</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Dossa</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Maradi</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Tahoua</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Tillaberi</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Zinder</labl>
  </catgry>
  <txt>GEO_NE1992 (V101_NE1992) indicates the region of Niger where the respondent was interviewed. DHS units in the 1992 Niger survey are equivalent to grouped regions.

Other sample years have their own sample-specific geography variables. There is also an integrated variable, GEO_NE1992_2012, that provides spatially consistent units over time.

A GIS map for GEO_NE1992 (in shapefile format) can be downloaded from the DHS Program Spatial Data Repository [URL omitted from DDI.] Boundaries page.</txt>
  <concept>
    <title>Single sample geography Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_AGE" name="B_AGE" files="B" intrvl="discrete">
  <labl>Age</labl>
  <imputation>Age</imputation>
  <security>Age</security>
  <embargo>Age</embargo>
  <respUnit>Age</respUnit>
  <qstn>
    <qstnLit>106) How old were you at your last birthday?

COMPARE AND CORRECT IF 105 AND 106 ARE INCOMPATIBLE.

AGE IN COMPLETED YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <txt>AGE (V012) reports the woman's age. DHS surveys collect information about the woman's age through questions about age at last birthday and date of birth.  DHS Recode Manuals provide the following information about how the AGE variable is calculated:

Current age in completed years is calculated from the century month code of the date of birth of the respondent (V011) and the century month code of the date of interview (V008). In a few cases the age in the data file will be different from that reported by the respondent when the respondent's birthday was in the month of interview, but she had not yet had her birthday. If the respondent correctly reported her age at her last birthday (and not her age at her next birthday) then the calculated age was rounded up from the reported age, to avoid inconsistencies between the age and the century month code for the birth.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_AGE5YEAR" name="B_AGE5YEAR" files="B" intrvl="discrete">
  <labl>Age in 5 year groups</labl>
  <imputation>Age in 5 year groups</imputation>
  <security>Age in 5 year groups</security>
  <embargo>Age in 5 year groups</embargo>
  <respUnit>Age in 5 year groups</respUnit>
  <qstn>
    <qstnLit>106) How old were you at your last birthday?

COMPARE AND CORRECT IF 105 AND 106 ARE INCOMPATIBLE.

AGE IN COMPLETED YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>10 to 14</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>10 to 14</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12 to 14</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13 to 14</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>15-19</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>20-24</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>25-29</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>30-34</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>35-39</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>40-44</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>45-49</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>50+</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>50-54</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>55-59</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>60-64</labl>
  </catgry>
  <txt>AGE5YEAR (V013) reports the woman's age in 5-year groups, based on data from the AGE (V012) variable. The age range of women interviewed varies across samples. See Comparability.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BIRTHMO" name="B_BIRTHMO" files="B" intrvl="discrete">
  <labl>Woman's month of birth</labl>
  <imputation>Woman's month of birth</imputation>
  <security>Woman's month of birth</security>
  <embargo>Woman's month of birth</embargo>
  <respUnit>Woman's month of birth</respUnit>
  <qstn>
    <qstnLit>105) In what month and year were you born?

MONTH: ___
DON'T KNOW 98

YEAR: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <txt>BIRTHMO (V009) reports the woman's month of birth.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BIRTHYEAR" name="B_BIRTHYEAR" files="B" intrvl="discrete">
  <labl>Woman's year of birth</labl>
  <imputation>Woman's year of birth</imputation>
  <security>Woman's year of birth</security>
  <embargo>Woman's year of birth</embargo>
  <respUnit>Woman's year of birth</respUnit>
  <qstn>
    <qstnLit>105) In what month and year were you born?

MONTH: ___
DON'T KNOW 98

YEAR: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1952</catValu>
    <labl>1952</labl>
  </catgry>
  <catgry>
    <catValu>1951</catValu>
    <labl>1951</labl>
  </catgry>
  <catgry>
    <catValu>1950</catValu>
    <labl>1950</labl>
  </catgry>
  <catgry>
    <catValu>1949</catValu>
    <labl>1949</labl>
  </catgry>
  <catgry>
    <catValu>1948</catValu>
    <labl>1948</labl>
  </catgry>
  <catgry>
    <catValu>1947</catValu>
    <labl>1947</labl>
  </catgry>
  <catgry>
    <catValu>1946</catValu>
    <labl>1946</labl>
  </catgry>
  <catgry>
    <catValu>1945</catValu>
    <labl>1945</labl>
  </catgry>
  <catgry>
    <catValu>1944</catValu>
    <labl>1944</labl>
  </catgry>
  <catgry>
    <catValu>1943</catValu>
    <labl>1943</labl>
  </catgry>
  <catgry>
    <catValu>1942</catValu>
    <labl>1942</labl>
  </catgry>
  <catgry>
    <catValu>1941</catValu>
    <labl>1941</labl>
  </catgry>
  <catgry>
    <catValu>1940</catValu>
    <labl>1940</labl>
  </catgry>
  <catgry>
    <catValu>1939</catValu>
    <labl>1939</labl>
  </catgry>
  <catgry>
    <catValu>1938</catValu>
    <labl>1938</labl>
  </catgry>
  <catgry>
    <catValu>1937</catValu>
    <labl>1937</labl>
  </catgry>
  <catgry>
    <catValu>1936</catValu>
    <labl>1936</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <txt>BIRTHYEAR (V010) reports the woman's year of birth.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_DOBCMC" name="B_DOBCMC" files="B" intrvl="contin">
  <labl>Respondent's date of birth, in century months</labl>
  <imputation>Respondent's date of birth, in century months</imputation>
  <security>Respondent's date of birth, in century months</security>
  <embargo>Respondent's date of birth, in century months</embargo>
  <respUnit>Respondent's date of birth, in century months</respUnit>
  <qstn>
    <qstnLit>105) In what month and year were you born?

MONTH: ___
DON'T KNOW 98

YEAR: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <txt>DOBCMC (V011) reports the century month code (CMC) for the woman's date of birth.

Century month codes (CMC) are particularly useful for checking the consistency of dates, calculating intervals between events, and imputing dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year - 1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006) [URL omitted from DDI.].</txt>
  <codInstr>DOBCMC (V011) is a 4-digit variable.</codInstr>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_DOBINFORESP" name="B_DOBINFORESP" files="B" intrvl="discrete">
  <labl>Information given on respondent's date of birth</labl>
  <imputation>Information given on respondent's date of birth</imputation>
  <security>Information given on respondent's date of birth</security>
  <embargo>Information given on respondent's date of birth</embargo>
  <respUnit>Information given on respondent's date of birth</respUnit>
  <qstn>
    <qstnLit>105) In what month and year were you born?

MONTH: ___
DON'T KNOW 98

YEAR: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Month and year</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Month and age, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Year and age, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Year and age, year ignored</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Year only, age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Age only, year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Month only, age and year imputed</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Season and year</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>None reported, all imputed</labl>
  </catgry>
  <txt>DOBINFORESP (V014) reports the completeness of information about the respondent's age and date of birth. A code of 0 indicates the month and the year were reported, and no data were imputed.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_RESIDENT" name="B_RESIDENT" files="B" intrvl="discrete">
  <labl>Usual resident or visitor</labl>
  <imputation>Usual resident or visitor</imputation>
  <security>Usual resident or visitor</security>
  <embargo>Usual resident or visitor</embargo>
  <respUnit>Usual resident or visitor</respUnit>
  <qstn>
    <qstnLit>4) RESIDENCE:
Does (NAME) normally live here?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Usual resident</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Visitor</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RESIDENT (V135) indicates whether the woman was a usual resident of the household or was just visiting there. As defined by the RESIDENT variable, a visitor could potentially reside in the city, town, or village where the interview took place but would have answered "No" to the question, "Does (NAME) usually live here [in this dwelling unit]?" on the household questionnaire.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_RELATE" name="B_RELATE" files="B" intrvl="discrete">
  <labl>Respondent's relationship to HH head</labl>
  <imputation>Respondent's relationship to HH head</imputation>
  <security>Respondent's relationship to HH head</security>
  <embargo>Respondent's relationship to HH head</embargo>
  <respUnit>Respondent's relationship to HH head</respUnit>
  <qstn>
    <qstnLit>3) RELATIONSHIP TO HEAD OF HOUSEHOLD:
What is the familial relation between (NAME) and the head of household?

HEAD OF HOUSEHOLD 01
WIFE OR HUSBAND 02
SON OR DAUGHTER 03
SON OR DAUGHTER-IN-LAW 04
GRANDSON OR GRANDDAUGHTER 05
FATHER OR MOTHER 06
PARENT-IN-LAW 07
BROTHER OR SISTER 08
CO-SPOUSE 09
OTHER RELATIVE 10
ADOPTED/FOSTER/STEP CHILD 11
NO FAMILY RELATIONSHIP 12
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Head</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Wife</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Daughter or son</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Daughter- or son-in-law</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Grandchild</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Mother or father</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Parent-in-law</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Sister or brother</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Co-spouse</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Adopted/foster/step child</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Adopted/foster child</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Stepchild</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Other relative</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Niece or nephew by blood</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Niece or nephew by marriage</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Niece or nephew unspecified</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Sibling-in-law</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Aunt or uncle</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Grandparent</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Nonrelative</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Domestic servant/employee</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Herdboy</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RELATE (V150) reports the woman's relationship to the head of the household, based on a question in the household questionnaire.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PREGNANT" name="B_PREGNANT" files="B" intrvl="discrete">
  <labl>Currently pregnant</labl>
  <imputation>Currently pregnant</imputation>
  <security>Currently pregnant</security>
  <embargo>Currently pregnant</embargo>
  <respUnit>Currently pregnant</respUnit>
  <qstn>
    <qstnLit>223) Are you pregnant now?

YES 1
NO 2 (GO TO 226)
UNSURE 8 (GO TO 226)</qstnLit>
  </qstn>
  <catgry>
    <labl>No/unsure</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>PREGNANT (V213) indicates whether the respondent is currently pregnant.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_DURCURPREG" name="B_DURCURPREG" files="B" intrvl="discrete">
  <labl>Duration of current pregnancy</labl>
  <imputation>Duration of current pregnancy</imputation>
  <security>Duration of current pregnancy</security>
  <embargo>Duration of current pregnancy</embargo>
  <respUnit>Duration of current pregnancy</respUnit>
  <qstn>
    <qstnLit>224) How many months pregnant are you?

MONTHS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For currently pregnant women, DURCURPREG (V214) reports the imputed duration of the woman's current pregnancy.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_RELIGION" name="B_RELIGION" files="B" intrvl="discrete">
  <labl>Religion</labl>
  <imputation>Religion</imputation>
  <security>Religion</security>
  <embargo>Religion</embargo>
  <respUnit>Religion</respUnit>
  <qstn>
    <qstnLit>115) What is your religion?

MUSLIM 1
CHRISTIAN 2
ANIMIST 3
OTHER (SPECIFY): ___ 4</qstnLit>
  </qstn>
  <catgry>
    <catValu>0000</catValu>
    <labl>NO RELIGION</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>MUSLIM</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>CHRISTIAN</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Catholic</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Orthodox</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Protestant</labl>
  </catgry>
  <catgry>
    <catValu>2310</catValu>
    <labl>Lutheran</labl>
  </catgry>
  <catgry>
    <catValu>2320</catValu>
    <labl>Anglican</labl>
  </catgry>
  <catgry>
    <catValu>2330</catValu>
    <labl>Presbyterian</labl>
  </catgry>
  <catgry>
    <catValu>2340</catValu>
    <labl>Baptist/Seventh-day Adventist</labl>
  </catgry>
  <catgry>
    <catValu>2341</catValu>
    <labl>Baptist</labl>
  </catgry>
  <catgry>
    <catValu>2342</catValu>
    <labl>Seventh-day Adventist</labl>
  </catgry>
  <catgry>
    <catValu>2350</catValu>
    <labl>Apostolic</labl>
  </catgry>
  <catgry>
    <catValu>2360</catValu>
    <labl>Salvation Army</labl>
  </catgry>
  <catgry>
    <catValu>2370</catValu>
    <labl>Methodist</labl>
  </catgry>
  <catgry>
    <catValu>2380</catValu>
    <labl>Pentacostal-based</labl>
  </catgry>
  <catgry>
    <catValu>2381</catValu>
    <labl>Pentacostal</labl>
  </catgry>
  <catgry>
    <catValu>2382</catValu>
    <labl>Celestial Church of Christ</labl>
  </catgry>
  <catgry>
    <catValu>2383</catValu>
    <labl>Universal</labl>
  </catgry>
  <catgry>
    <catValu>2384</catValu>
    <labl>Assemblies of God</labl>
  </catgry>
  <catgry>
    <catValu>2390</catValu>
    <labl>Other Protestant</labl>
  </catgry>
  <catgry>
    <catValu>2391</catValu>
    <labl>Evangelical</labl>
  </catgry>
  <catgry>
    <catValu>2392</catValu>
    <labl>Lesotho Evangelical Church</labl>
  </catgry>
  <catgry>
    <catValu>2393</catValu>
    <labl>Kimbanguist (Congo, Democratic Republic)</labl>
  </catgry>
  <catgry>
    <catValu>2400</catValu>
    <labl>Nontrinitarian</labl>
  </catgry>
  <catgry>
    <catValu>2410</catValu>
    <labl>Jehovah's Witness</labl>
  </catgry>
  <catgry>
    <catValu>2900</catValu>
    <labl>Other Christian, country-specific</labl>
  </catgry>
  <catgry>
    <catValu>2901</catValu>
    <labl>African Zionist (Mozambique)</labl>
  </catgry>
  <catgry>
    <catValu>2902</catValu>
    <labl>Mammon (Uganda)</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>BUDDHIST/NEO-BUDDHIST</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Buddhist</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>HINDU</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>JEWISH</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>TRADITIONAL/SPIRITUAL/ANIMIST</labl>
  </catgry>
  <catgry>
    <catValu>6100</catValu>
    <labl>Traditional</labl>
  </catgry>
  <catgry>
    <catValu>6200</catValu>
    <labl>Spiritual</labl>
  </catgry>
  <catgry>
    <catValu>6300</catValu>
    <labl>Animist</labl>
  </catgry>
  <catgry>
    <catValu>6400</catValu>
    <labl>Specified Traditional</labl>
  </catgry>
  <catgry>
    <catValu>6401</catValu>
    <labl>Donyi-Polo</labl>
  </catgry>
  <catgry>
    <catValu>6402</catValu>
    <labl>Sanamahi</labl>
  </catgry>
  <catgry>
    <catValu>6403</catValu>
    <labl>Vodun</labl>
  </catgry>
  <catgry>
    <catValu>7000</catValu>
    <labl>OTHER (SPECIFIED)</labl>
  </catgry>
  <catgry>
    <catValu>7100</catValu>
    <labl>Baha'i</labl>
  </catgry>
  <catgry>
    <catValu>7200</catValu>
    <labl>Sikh</labl>
  </catgry>
  <catgry>
    <catValu>7300</catValu>
    <labl>Zoroastrian</labl>
  </catgry>
  <catgry>
    <catValu>7400</catValu>
    <labl>Jain</labl>
  </catgry>
  <catgry>
    <catValu>7900</catValu>
    <labl>Country-specific other</labl>
  </catgry>
  <catgry>
    <catValu>7901</catValu>
    <labl>Sect (Burundi)</labl>
  </catgry>
  <catgry>
    <catValu>7902</catValu>
    <labl>Bundu dia Kongo (Congo, Democratic Republic)</labl>
  </catgry>
  <catgry>
    <catValu>7903</catValu>
    <labl>Vuvamu (Congo, Democratic Republic)</labl>
  </catgry>
  <catgry>
    <catValu>7904</catValu>
    <labl>Kirat Mundhum (Nepal)</labl>
  </catgry>
  <catgry>
    <catValu>9000</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>9001</catValu>
    <labl>Religion 1</labl>
  </catgry>
  <catgry>
    <catValu>9002</catValu>
    <labl>Religion 2</labl>
  </catgry>
  <catgry>
    <catValu>9003</catValu>
    <labl>Religion 3</labl>
  </catgry>
  <catgry>
    <catValu>9004</catValu>
    <labl>Religion 4</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>RELIGION (V130) reports the respondent's religion. While the categories and codes for the religion variable in the original DHS files are country-specific, IPUMS-DHS uses a 4-digit composite coding system to fit these diverse categories into a single variable without losing information. Â See Comparability.</txt>
  <concept>
    <title>Ethnicity and religion Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_ETHNICITYNE" name="B_ETHNICITYNE" files="B" intrvl="discrete">
  <labl>Ethnicity, Niger</labl>
  <imputation>Ethnicity, Niger</imputation>
  <security>Ethnicity, Niger</security>
  <embargo>Ethnicity, Niger</embargo>
  <respUnit>Ethnicity, Niger</respUnit>
  <qstn>
    <qstnLit>117) What is your ethnicity?

ARABE 01
DJERMA 02
GOURMANTH 03
HAUSSA 04
KAMOURI 05
MOSSI 06
PEULH 07
TOUAREG BELLA 08
TOUBOU 09
OTHER (SPECIFY): ___ 10</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Arab</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Djerma</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Gourmanthe</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Haoussa</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Kanouri</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Peulh</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Toureg</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Toubou</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Mossi</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Other non-Niger</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>ETHNICITYNE (V131NE) is a variable specific to Niger that reports responses to a question about the woman's ethnicity.  The groups identified vary across samples.  See Comparability.</txt>
  <concept>
    <title>Ethnicity and religion Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_MARSTAT" name="B_MARSTAT" files="B" intrvl="discrete">
  <labl>Woman's current marital or union status</labl>
  <imputation>Woman's current marital or union status</imputation>
  <security>Woman's current marital or union status</security>
  <embargo>Woman's current marital or union status</embargo>
  <respUnit>Woman's current marital or union status</respUnit>
  <qstn>
    <qstnLit>501) Are you now married or in a union with a man?

YES 1(GO TO 504)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Never married</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Married or living together</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Married</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Living together</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Formerly in union</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Widowed</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Divorced</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Separated/not living together</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Unconsummated marriage</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Deserted</labl>
  </catgry>
  <txt>MARSTAT (V501) reports the woman's current marital status. Response categories and question wording vary across surveys.  See Comparability.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_CURRMARR" name="B_CURRMARR" files="B" intrvl="discrete">
  <labl>Woman never, currently, or formerly married</labl>
  <imputation>Woman never, currently, or formerly married</imputation>
  <security>Woman never, currently, or formerly married</security>
  <embargo>Woman never, currently, or formerly married</embargo>
  <respUnit>Woman never, currently, or formerly married</respUnit>
  <qstn>
    <qstnLit>501) Are you now married or in a union with a man?

YES 1(GO TO 504)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>Never married</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Currently married</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Formerly married</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>CURRMARR (V502) reports the woman's marital/union status as "Never married," "Currently married," or "Formerly married."

"Never married" includes women who have never lived with a partner. "Currently married" includes women who are married and those who are not formally married but are living with a partner. "Formerly married" includes women who are widowed, divorced, or separated, or who have formerly lived with a partner. For samples restricted to ever-married women, only women who are formally married (not cohabiting) are included as "married."</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_UNION1MORE" name="B_UNION1MORE" files="B" intrvl="discrete">
  <labl>Woman had one or more than one union</labl>
  <imputation>Woman had one or more than one union</imputation>
  <security>Woman had one or more than one union</security>
  <embargo>Woman had one or more than one union</embargo>
  <respUnit>Woman had one or more than one union</respUnit>
  <qstn>
    <qstnLit>508) Have you been married or lived with a man only once, or more than one?

ONCE 1
MORE THAN ONCE 2</qstnLit>
  </qstn>
  <catgry>
    <labl>One</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>More than one</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who had ever been married or lived with a man, UNION1MORE (V503) indicates whether the respondent had been in one or more than one marriage/union.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_AGEFRSTMAR" name="B_AGEFRSTMAR" files="B" intrvl="discrete">
  <labl>Age at first marriage or cohabitation</labl>
  <imputation>Age at first marriage or cohabitation</imputation>
  <security>Age at first marriage or cohabitation</security>
  <embargo>Age at first marriage or cohabitation</embargo>
  <respUnit>Age at first marriage or cohabitation</respUnit>
  <qstn>
    <qstnLit>510) How old were you when you started living with him?

AGE: ___
DON'T KNOW AGE 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Marriage not consummated</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>AGEFRSTMAR (V511) reports the woman's age at the start of her first marriage or union. This usually refers to when the woman first started to live with her first husband or partner. According to the DHS Recode Manuals, "Age at start of first marriage or union is calculated from the century month code of the date of start of first marriage or union and the century month code of the date of birth of the respondent."</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_DURMARGRP" name="B_DURMARGRP" files="B" intrvl="discrete">
  <labl>Marital or cohabitation duration (grouped)</labl>
  <imputation>Marital or cohabitation duration (grouped)</imputation>
  <security>Marital or cohabitation duration (grouped)</security>
  <embargo>Marital or cohabitation duration (grouped)</embargo>
  <respUnit>Marital or cohabitation duration (grouped)</respUnit>
  <qstn>
    <qstnLit>509) In what month and year did you start living with him?

MONTH: ___
DON'T KNOW MONTHS 98

YEAR: ___
DON'T KNOW YEARS 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Never married</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>0 to 4</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>5 to 9</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>10 to 14</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>15 to 19</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>20 to 24</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>25 to 29</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>30+</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Marriage not consummated</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>DURMARGRP (V513) reports the number of years elapsed since the woman's first marriage or cohabiting union until the date of the survey interview, in five-year groups. The duration is reported irrespective of whether the respondent is still married or in a union with her first partner.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_MAR1STMO" name="B_MAR1STMO" files="B" intrvl="discrete">
  <labl>Month of first marriage or cohabitation</labl>
  <imputation>Month of first marriage or cohabitation</imputation>
  <security>Month of first marriage or cohabitation</security>
  <embargo>Month of first marriage or cohabitation</embargo>
  <respUnit>Month of first marriage or cohabitation</respUnit>
  <qstn>
    <qstnLit>509) In what month and year did you start living with him?

MONTH: ___
DON'T KNOW MONTHS 98

YEAR: ___
DON'T KNOW YEARS 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Marriage not consummated</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who had ever been married or lived with a man, MAR1STMO (V507) reports the month of their first marriage or (for most samples) unmarried cohabitation. The year of the woman's first marriage/union is reported in MAR1STYR (V508).</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_MAR1STYR" name="B_MAR1STYR" files="B" intrvl="discrete">
  <labl>Year of first marriage or cohabitation</labl>
  <imputation>Year of first marriage or cohabitation</imputation>
  <security>Year of first marriage or cohabitation</security>
  <embargo>Year of first marriage or cohabitation</embargo>
  <respUnit>Year of first marriage or cohabitation</respUnit>
  <qstn>
    <qstnLit>509) In what month and year did you start living with him?

MONTH: ___
DON'T KNOW MONTHS 98

YEAR: ___
DON'T KNOW YEARS 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>1943</catValu>
    <labl>1943</labl>
  </catgry>
  <catgry>
    <catValu>1944</catValu>
    <labl>1944</labl>
  </catgry>
  <catgry>
    <catValu>1945</catValu>
    <labl>1945</labl>
  </catgry>
  <catgry>
    <catValu>1946</catValu>
    <labl>1946</labl>
  </catgry>
  <catgry>
    <catValu>1947</catValu>
    <labl>1947</labl>
  </catgry>
  <catgry>
    <catValu>1948</catValu>
    <labl>1948</labl>
  </catgry>
  <catgry>
    <catValu>1949</catValu>
    <labl>1949</labl>
  </catgry>
  <catgry>
    <catValu>1950</catValu>
    <labl>1950</labl>
  </catgry>
  <catgry>
    <catValu>1951</catValu>
    <labl>1951</labl>
  </catgry>
  <catgry>
    <catValu>1952</catValu>
    <labl>1952</labl>
  </catgry>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>2017</labl>
  </catgry>
  <catgry>
    <catValu>2018</catValu>
    <labl>2018</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Marriage not consummated</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who had ever been married or lived with a man, MAR1STYR (V508) reports the year of their first marriage or (for most samples) unmarried cohabitation. The month of the woman's first marriage/union is reported in MAR1STMO (V507).</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_YRSTO1STMAR" name="B_YRSTO1STMAR" files="B" intrvl="discrete">
  <labl>Years since starting date of 1st marriage or union</labl>
  <imputation>Years since starting date of 1st marriage or union</imputation>
  <security>Years since starting date of 1st marriage or union</security>
  <embargo>Years since starting date of 1st marriage or union</embargo>
  <respUnit>Years since starting date of 1st marriage or union</respUnit>
  <qstn>
    <qstnLit>509) In what month and year did you start living with him?

MONTH: ___
DON'T KNOW MONTHS 98

YEAR: ___
DON'T KNOW YEARS 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Marriage not consummated</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who had ever been married or lived with a man, YRSTO1STMAR (V512) reports the number of years from the start of the woman's first marriage/union to the date of the survey interview. The calculation is made using century month codes for both dates.

For the month and year of first marriage/union, see MAR1STMO (V507) and MAR1STYR (V508) respectively.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_MAR1STCMC" name="B_MAR1STCMC" files="B" intrvl="discrete">
  <labl>Date of first marriage or cohabitation (CMC)</labl>
  <imputation>Date of first marriage or cohabitation (CMC)</imputation>
  <security>Date of first marriage or cohabitation (CMC)</security>
  <embargo>Date of first marriage or cohabitation (CMC)</embargo>
  <respUnit>Date of first marriage or cohabitation (CMC)</respUnit>
  <qstn>
    <qstnLit>509) In what month and year did you start living with him?

MONTH: ___
DON'T KNOW MONTHS 98

YEAR: ___
DON'T KNOW YEARS 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>9996</catValu>
    <labl>Not consummated</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>MAR1STCMC (V509) reports the century month code (CMC) for the date of the woman's first marriage or cohabitation. 

Century month codes (CMC) are particularly useful checking the consistency of dates, calculating intervals between events, and imputing dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC  -  1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC  -  ( ( Year  -  1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006) [URL omitted from DDI.].</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_MAR1STDATINFO" name="B_MAR1STDATINFO" files="B" intrvl="discrete">
  <labl>Completeness of information, date of first marriage/union</labl>
  <imputation>Completeness of information, date of first marriage/union</imputation>
  <security>Completeness of information, date of first marriage/union</security>
  <embargo>Completeness of information, date of first marriage/union</embargo>
  <respUnit>Completeness of information, date of first marriage/union</respUnit>
  <qstn>
    <qstnLit>509) In what month and year did you start living with him?

MONTH: ___
DON'T KNOW MONTHS 98

YEAR: ___
DON'T KNOW YEARS 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Month and year reported</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Month and age reported, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Year and age reported, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Year reported, age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Age reported, year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Month reported, age and year imputed</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Year and age reported, year ignored</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Season and year reported</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>All values imputed</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>All reported, inconsistent</labl>
  </catgry>
  <txt>MAR1STDATINFO (V510) reports the completeness of information for the date of the woman's first marriage or cohabitation. See Comparability.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_MARTO1STBORNMO" name="B_MARTO1STBORNMO" files="B" intrvl="discrete">
  <labl>Months between respondent's 1st marriage and 1st birth</labl>
  <imputation>Months between respondent's 1st marriage and 1st birth</imputation>
  <security>Months between respondent's 1st marriage and 1st birth</security>
  <embargo>Months between respondent's 1st marriage and 1st birth</embargo>
  <respUnit>Months between respondent's 1st marriage and 1st birth</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>998</catValu>
    <labl>First birth prior to first marriage</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>MARTO1STBORNMO (V221) reports the number of months between the woman's first marriage (i.e., formal marriage or first episode of living with a man) and her first birth. For women whose first birth occurred before their first marriage, this variable is coded as '998.'</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_WIFENUM" name="B_WIFENUM" files="B" intrvl="discrete">
  <labl>Number of other wives</labl>
  <imputation>Number of other wives</imputation>
  <security>Number of other wives</security>
  <embargo>Number of other wives</embargo>
  <respUnit>Number of other wives</respUnit>
  <qstn>
    <qstnLit>506) How many other wives does he have?

NUMBER: ___
DON'T KNOW 98 (GO TO 508)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No other wives</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Has other wives, dk number</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who were currently married or living with a man, WIFENUM (V505) reports the number of other wives (or co-resident partners) their husband/partner had.  Question wording varied across samples. See Comparability.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_WIFERANK" name="B_WIFERANK" files="B" intrvl="discrete">
  <labl>Wife rank number</labl>
  <imputation>Wife rank number</imputation>
  <security>Wife rank number</security>
  <embargo>Wife rank number</embargo>
  <respUnit>Wife rank number</respUnit>
  <qstn>
    <qstnLit>507) Are you the first, second, third'?spouse?

RANK: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women married to or living with a man who had more than one wife/partner, WIFERANK (V506) reports the woman's rank among her husband's/partner's wives/partners.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_HUSBINHOME" name="B_HUSBINHOME" files="B" intrvl="discrete">
  <labl>Husband/partner lives in woman's household</labl>
  <imputation>Husband/partner lives in woman's household</imputation>
  <security>Husband/partner lives in woman's household</security>
  <embargo>Husband/partner lives in woman's household</embargo>
  <respUnit>Husband/partner lives in woman's household</respUnit>
  <qstn>
    <qstnLit>504) Does your husband/partner live with you, or is he staying elsewhere?

LIVING WITH HER 1
STAYING ELSEWHERE 2</qstnLit>
  </qstn>
  <catgry>
    <labl>Living with woman</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Staying elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who were currently married or living with a man, HUSBINHOME (V504) indicates whether the husband/partner lived with the woman or stayed elsewhere.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_CHEB" name="B_CHEB" files="B" intrvl="discrete">
  <labl>Total children ever born</labl>
  <imputation>Total children ever born</imputation>
  <security>Total children ever born</security>
  <embargo>Total children ever born</embargo>
  <respUnit>Total children ever born</respUnit>
  <qstn>
    <qstnLit>209) CHECK 208:

I want to make sure I understand: You have had (TOTAL) ___ births in your life. Is that correct?

YES: ___ (GO TO 210)
NO: ___ (PROBE AND CORRECT 201-208 AS NECESSARY)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (Not in universe)</labl>
  </catgry>
  <txt>CHEB (V201) reports the total number of children ever born to the respondent.  The number reported in CHEB is the sum of a series of variables covering the total number of sons and daughters who are living at home, living away from home, or who have died (V202 to V207).   

The number of births reported in CHEB will match the number of entries in the birth history (V224) for up to 20 births.  If the woman reported more than 20 births, then the number for CHEB will exceed the number of births in the birth history, but such cases are rare.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TOTBIRTHIST" name="B_TOTBIRTHIST" files="B" intrvl="discrete">
  <labl>Number of entries in the birth history</labl>
  <imputation>Number of entries in the birth history</imputation>
  <security>Number of entries in the birth history</security>
  <embargo>Number of entries in the birth history</embargo>
  <respUnit>Number of entries in the birth history</respUnit>
  <qstn>
    <qstnLit>211) Now I would like to talk to you about your children, whether they are still alive or not, beginning with the first birth that you had.

(IN 212 WRITE THE NAME OF EACH CHILD, WRITING THE NAMES OF TWINS OR TRIPLETS ON SEPARATE LINES)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TOTBIRTHIST (V224) reports the number of entries in the woman respondent's birth history. 

For up to 20 births, the birth history contains information for each of the respondent's births. In those rare cases when the respondent had more than 20 births, the birth history lists the last 19 births and the first birth.  

In cases where the women had fewer than 20 births, the number reported in TOTBIRTHIST will match the number reported in CHEB (V201), the total number of children ever born to the respondent.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_SONSATHOME" name="B_SONSATHOME" files="B" intrvl="discrete">
  <labl>Number of own sons living at home</labl>
  <imputation>Number of own sons living at home</imputation>
  <security>Number of own sons living at home</security>
  <embargo>Number of own sons living at home</embargo>
  <respUnit>Number of own sons living at home</respUnit>
  <qstn>
    <qstnLit>203) How many sons live with you?
And how many daughters?

IF NONE, ENTER '00'.

SONS AT HOME: ___

DAUGHTERS AT HOME: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>SONSATHOME (V202) reports the number of sons to whom the woman has given birth who are currently living with her. 

The related variable SONSAWAYHOME (V204) reports the number of sons to whom the woman has given birth and are still alive, but who are not currently living with her.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_DAUSATHOME" name="B_DAUSATHOME" files="B" intrvl="discrete">
  <labl>Number of own daughters living at home</labl>
  <imputation>Number of own daughters living at home</imputation>
  <security>Number of own daughters living at home</security>
  <embargo>Number of own daughters living at home</embargo>
  <respUnit>Number of own daughters living at home</respUnit>
  <qstn>
    <qstnLit>204) Have you given birth to sons or daughters who are still living but do not currently live with you?

YES 1
NO 2 (GO TO 206)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>DAUSATHOME (V203) reports the number of daughters to whom the woman has given birth who are currently living with her. 

The related variable DAUSAWAYHOME (V205) reports the number of daughters to whom the woman has given birth and are still alive, but who are not currently living with her.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_SONSAWAYHOME" name="B_SONSAWAYHOME" files="B" intrvl="discrete">
  <labl>Number of own sons living away from home</labl>
  <imputation>Number of own sons living away from home</imputation>
  <security>Number of own sons living away from home</security>
  <embargo>Number of own sons living away from home</embargo>
  <respUnit>Number of own sons living away from home</respUnit>
  <qstn>
    <qstnLit>205) How many sons are alive but not living with you?
And how many daughters?

IF NONE, ENTER '00'.

SONS ELSEWHERE: ___
DAUGHTERS ELSEWHERE: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>SONSAWAYHOME (V204) reports the number of sons to whom the woman has given birth who are still alive, but who are not currently living with her. 

The related variable SONSATHOME (V202) reports the number of sons to whom the woman has given birth who are still alive, and who are currently living with her.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_DAUSAWAYHOME" name="B_DAUSAWAYHOME" files="B" intrvl="discrete">
  <labl>Number of own daughters living away from home</labl>
  <imputation>Number of own daughters living away from home</imputation>
  <security>Number of own daughters living away from home</security>
  <embargo>Number of own daughters living away from home</embargo>
  <respUnit>Number of own daughters living away from home</respUnit>
  <qstn>
    <qstnLit>205) How many sons are alive but not living with you?
And how many daughters?

IF NONE, ENTER '00'.

SONS ELSEWHERE: ___
DAUGHTERS ELSEWHERE: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>DAUSAWAYHOME (V205) reports the number of daughters to whom the woman has given birth who are still alive, but who are not currently living with her. 

The related variable DAUSATHOME (V203) reports the number of daughters to whom the woman has given birth who are still alive, and who are currently living with her.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_SONSDIED" name="B_SONSDIED" files="B" intrvl="discrete">
  <labl>Number of own sons who have died</labl>
  <imputation>Number of own sons who have died</imputation>
  <security>Number of own sons who have died</security>
  <embargo>Number of own sons who have died</embargo>
  <respUnit>Number of own sons who have died</respUnit>
  <qstn>
    <qstnLit>207) In all, how many of your sons have died?
And how many of your daughters?

IF NONE, ENTER '00'.

SONS DECEASED: ___

DAUGHTERS DECEASED: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>SONSDIED (V206) reports the number of sons to whom the woman has given birth who have died.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_DAUSDIED" name="B_DAUSDIED" files="B" intrvl="discrete">
  <labl>Number of own daughters who have died</labl>
  <imputation>Number of own daughters who have died</imputation>
  <security>Number of own daughters who have died</security>
  <embargo>Number of own daughters who have died</embargo>
  <respUnit>Number of own daughters who have died</respUnit>
  <qstn>
    <qstnLit>207) In all, how many of your sons have died?
And how many of your daughters?

IF NONE, ENTER '00'.

SONS DECEASED: ___

DAUGHTERS DECEASED: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>DAUSDIED (V207) reports the number of daughters to whom the woman has given birth who have died.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BIRTHSIN5YRS" name="B_BIRTHSIN5YRS" files="B" intrvl="discrete">
  <labl>Number of births in last 5 years</labl>
  <imputation>Number of births in last 5 years</imputation>
  <security>Number of births in last 5 years</security>
  <embargo>Number of births in last 5 years</embargo>
  <respUnit>Number of births in last 5 years</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6</labl>
  </catgry>
  <txt>BIRTHSIN5YRS (V208) reports the number of births the woman had in the five years prior to the survey. This statistic is calculated based on the total number of births in the 0 to 59 months prior to the month of the interview.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BIRTHSIN1YR" name="B_BIRTHSIN1YR" files="B" intrvl="discrete">
  <labl>Number of births in the past year</labl>
  <imputation>Number of births in the past year</imputation>
  <security>Number of births in the past year</security>
  <embargo>Number of births in the past year</embargo>
  <respUnit>Number of births in the past year</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <txt>BIRTHSIN1YR (V209) reports the number of births the woman had in the year prior to the survey. This statistic is calculated based on the total number of births in the months 0 to 12 (not 0 to 11) prior to the month of the interview. For example, if the survey were given in January, BIRTHSIN1YR would report the number of births the woman had between the time of the survey and the previous January.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BIRTHSIN1MO" name="B_BIRTHSIN1MO" files="B" intrvl="discrete">
  <labl>Total number of births in month of interview</labl>
  <imputation>Total number of births in month of interview</imputation>
  <security>Total number of births in month of interview</security>
  <embargo>Total number of births in month of interview</embargo>
  <respUnit>Total number of births in month of interview</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIRTHSIN1MO (V210) reports the total number of births the woman had in the month of interview.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_DOB1STKIDCMC" name="B_DOB1STKIDCMC" files="B" intrvl="discrete">
  <labl>Date of respondent's first birth, in century months</labl>
  <imputation>Date of respondent's first birth, in century months</imputation>
  <security>Date of respondent's first birth, in century months</security>
  <embargo>Date of respondent's first birth, in century months</embargo>
  <respUnit>Date of respondent's first birth, in century months</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>DOB1STKIDCMC (V211) reports the century month code (CMC) for the date of the woman's first birth.

The Guide to DHS Statistics (2003) explains the use and calculation of CMC values as follows:

Century month codes (CMC) are particularly important to check consistency of dates, to calculate intervals between events, and to impute dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. That year was chosen as the reference period because all of the DHS relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 will be:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed since January 1900 to June 2002. Based on CMC it is possible to calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year - 1900 ) * 12 )</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TIMEMENSTRUATE" name="B_TIMEMENSTRUATE" files="B" intrvl="discrete">
  <labl>Time since woman's last menstrual period</labl>
  <imputation>Time since woman's last menstrual period</imputation>
  <security>Time since woman's last menstrual period</security>
  <embargo>Time since woman's last menstrual period</embargo>
  <respUnit>Time since woman's last menstrual period</respUnit>
  <qstn>
    <qstnLit>226) When did your last period start?

DAYS: ___ 1
WEEKS: ___ 2
MONTHS: ___ 3
YEARS: ___ 4
IN MENOPAUSE 994
BEFORE LAST BIRTH 995
NEVER MENSTRUATED 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Day of Interview</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>Days: 1</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 days</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 days</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 days</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 days</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 days</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46 days</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47 days</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48 days</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49 days</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50 days</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51 days</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52 days</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53 days</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54 days</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55 days</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56 days</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57 days</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58 days</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59 days</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60 days</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61 days</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62 days</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63 days</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64 days</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65 days</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66 days</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67 days</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68 days</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69 days</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70 days</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71 days</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72 days</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73 days</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74 days</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75 days</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76 days</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77 days</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78 days</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79 days</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80 days</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81 days</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82 days</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83 days</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84 days</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85 days</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86 days</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87 days</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88 days</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89 days</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90 days</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>91 days</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>92 days</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>93 days</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>94 days</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>95 days</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>96 days</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>97 days</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>98 days</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Weeks</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>201 Weeks: 1</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 weeks</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 weeks</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 weeks</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 weeks</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 weeks</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 weeks</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 weeks</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 weeks</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 weeks</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 weeks</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 weeks</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 weeks</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 weeks</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 weeks</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 weeks</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 weeks</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 weeks</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 weeks</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 weeks</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 weeks</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 weeks</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 weeks</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 weeks</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 weeks</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 weeks</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 weeks</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 weeks</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 weeks</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 weeks</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 weeks</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 weeks</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 weeks</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 weeks</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35 weeks</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36 weeks</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37 weeks</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38 weeks</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39 weeks</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40 weeks</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41 weeks</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42 weeks</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43 weeks</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44 weeks</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45 weeks</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46 weeks</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47 weeks</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48 weeks</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49 weeks</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50 weeks</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51 weeks</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52 weeks</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>53 weeks</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>54 weeks</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>55 weeks</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>56 weeks</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>57 weeks</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>58 weeks</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>59 weeks</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>60 weeks</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>61 weeks</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>62 weeks</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>63 weeks</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>64 weeks</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>65 weeks</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>66 weeks</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>67 weeks</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>68 weeks</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>69 weeks</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>70 weeks</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>71 weeks</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>72 weeks</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>73 weeks</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>74 weeks</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>75 weeks</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>76 weeks</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>77 weeks</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>78 weeks</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>79 weeks</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>80 weeks</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>81 weeks</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>82 weeks</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>83 weeks</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>84 weeks</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>85 weeks</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>86 weeks</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>87 weeks</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>88 weeks</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>89 weeks</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>90 weeks</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>91 weeks</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>92 weeks</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>93 weeks</labl>
  </catgry>
  <catgry>
    <catValu>294</catValu>
    <labl>94 weeks</labl>
  </catgry>
  <catgry>
    <catValu>295</catValu>
    <labl>95 weeks</labl>
  </catgry>
  <catgry>
    <catValu>296</catValu>
    <labl>96 weeks</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>97 weeks</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>98 weeks</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Weeks: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Months</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>301 Months: 1</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>337</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>338</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>339</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>341</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>342</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>343</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>344</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>345</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>346</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>347</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>348</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>349</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>352</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>353</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>354</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>355</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>356</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>357</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>358</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>359</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>361</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>362</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>363</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>364</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>365</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>366</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>367</catValu>
    <labl>67 months</labl>
  </catgry>
  <catgry>
    <catValu>368</catValu>
    <labl>68 months</labl>
  </catgry>
  <catgry>
    <catValu>369</catValu>
    <labl>69 months</labl>
  </catgry>
  <catgry>
    <catValu>370</catValu>
    <labl>70 months</labl>
  </catgry>
  <catgry>
    <catValu>371</catValu>
    <labl>71 months</labl>
  </catgry>
  <catgry>
    <catValu>372</catValu>
    <labl>72 months</labl>
  </catgry>
  <catgry>
    <catValu>373</catValu>
    <labl>73 months</labl>
  </catgry>
  <catgry>
    <catValu>374</catValu>
    <labl>74 months</labl>
  </catgry>
  <catgry>
    <catValu>375</catValu>
    <labl>75 months</labl>
  </catgry>
  <catgry>
    <catValu>376</catValu>
    <labl>76 months</labl>
  </catgry>
  <catgry>
    <catValu>377</catValu>
    <labl>77 months</labl>
  </catgry>
  <catgry>
    <catValu>378</catValu>
    <labl>78 months</labl>
  </catgry>
  <catgry>
    <catValu>379</catValu>
    <labl>79 months</labl>
  </catgry>
  <catgry>
    <catValu>380</catValu>
    <labl>80 months</labl>
  </catgry>
  <catgry>
    <catValu>381</catValu>
    <labl>81 months</labl>
  </catgry>
  <catgry>
    <catValu>382</catValu>
    <labl>82 months</labl>
  </catgry>
  <catgry>
    <catValu>383</catValu>
    <labl>83 months</labl>
  </catgry>
  <catgry>
    <catValu>384</catValu>
    <labl>84 months</labl>
  </catgry>
  <catgry>
    <catValu>385</catValu>
    <labl>85 months</labl>
  </catgry>
  <catgry>
    <catValu>386</catValu>
    <labl>86 months</labl>
  </catgry>
  <catgry>
    <catValu>387</catValu>
    <labl>87 months</labl>
  </catgry>
  <catgry>
    <catValu>388</catValu>
    <labl>88 months</labl>
  </catgry>
  <catgry>
    <catValu>389</catValu>
    <labl>89 months</labl>
  </catgry>
  <catgry>
    <catValu>390</catValu>
    <labl>90 months</labl>
  </catgry>
  <catgry>
    <catValu>391</catValu>
    <labl>91 months</labl>
  </catgry>
  <catgry>
    <catValu>392</catValu>
    <labl>92 months</labl>
  </catgry>
  <catgry>
    <catValu>393</catValu>
    <labl>93 months</labl>
  </catgry>
  <catgry>
    <catValu>394</catValu>
    <labl>94 months</labl>
  </catgry>
  <catgry>
    <catValu>395</catValu>
    <labl>95 months</labl>
  </catgry>
  <catgry>
    <catValu>396</catValu>
    <labl>96 months</labl>
  </catgry>
  <catgry>
    <catValu>397</catValu>
    <labl>97 months</labl>
  </catgry>
  <catgry>
    <catValu>398</catValu>
    <labl>98 months</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Months: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>400</catValu>
    <labl>Years</labl>
  </catgry>
  <catgry>
    <catValu>401</catValu>
    <labl>Years: 1</labl>
  </catgry>
  <catgry>
    <catValu>402</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>403</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>404</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>405</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>406</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>407</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>408</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>409</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>410</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>411</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>412</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>413</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>414</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>415</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>416</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>417</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>418</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>419</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>420</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>421</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>422</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>423</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>424</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>425</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>426</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>427</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>428</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>429</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>430</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>431</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>432</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>433</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>434</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>435</catValu>
    <labl>35 years</labl>
  </catgry>
  <catgry>
    <catValu>436</catValu>
    <labl>36 years</labl>
  </catgry>
  <catgry>
    <catValu>437</catValu>
    <labl>37 years</labl>
  </catgry>
  <catgry>
    <catValu>438</catValu>
    <labl>38 years</labl>
  </catgry>
  <catgry>
    <catValu>439</catValu>
    <labl>39 years</labl>
  </catgry>
  <catgry>
    <catValu>440</catValu>
    <labl>40 years</labl>
  </catgry>
  <catgry>
    <catValu>441</catValu>
    <labl>41 years</labl>
  </catgry>
  <catgry>
    <catValu>442</catValu>
    <labl>42 years</labl>
  </catgry>
  <catgry>
    <catValu>443</catValu>
    <labl>43 years</labl>
  </catgry>
  <catgry>
    <catValu>444</catValu>
    <labl>44 years</labl>
  </catgry>
  <catgry>
    <catValu>445</catValu>
    <labl>45 years</labl>
  </catgry>
  <catgry>
    <catValu>446</catValu>
    <labl>46 years</labl>
  </catgry>
  <catgry>
    <catValu>447</catValu>
    <labl>47 years</labl>
  </catgry>
  <catgry>
    <catValu>448</catValu>
    <labl>48 years</labl>
  </catgry>
  <catgry>
    <catValu>449</catValu>
    <labl>49+ years</labl>
  </catgry>
  <catgry>
    <catValu>499</catValu>
    <labl>Years: number missing</labl>
  </catgry>
  <catgry>
    <catValu>992</catValu>
    <labl>Currently pregnant</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>In menopause/had hysterectomy</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>Before last birth</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Never menstruated</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TIMEMENSTRUATE (V215) reports the time passed since the woman's last menstrual period, in days, weeks, months, or years.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_MENSTRUATE6WK" name="B_MENSTRUATE6WK" files="B" intrvl="discrete">
  <labl>Woman menstruated last 6 weeks</labl>
  <imputation>Woman menstruated last 6 weeks</imputation>
  <security>Woman menstruated last 6 weeks</security>
  <embargo>Woman menstruated last 6 weeks</embargo>
  <respUnit>Woman menstruated last 6 weeks</respUnit>
  <qstn>
    <qstnLit>226) When did your last period start?

DAYS: ___ 1
WEEKS: ___ 2
MONTHS: ___ 3
YEARS: ___ 4
IN MENOPAUSE 994
BEFORE LAST BIRTH 995
NEVER MENSTRUATED 996</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>MENSTRUATE6WK (V216) indicates whether the woman menstruated in the 6 weeks prior to the interview, as calculated from TIMEMENSTRUATE (V215).</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_OVCYCLE" name="B_OVCYCLE" files="B" intrvl="discrete">
  <labl>When in cycle thinks pregnancy is most likely</labl>
  <imputation>When in cycle thinks pregnancy is most likely</imputation>
  <security>When in cycle thinks pregnancy is most likely</security>
  <embargo>When in cycle thinks pregnancy is most likely</embargo>
  <respUnit>When in cycle thinks pregnancy is most likely</respUnit>
  <qstn>
    <qstnLit>228) During which times of the month does a woman have the greatest chance of becoming pregnant?

DURING HER PERIOD 1
RIGHT AFTER HER PERIOD HAS ENDED 2
IN THE MIDDLE OF THE CYCLE 3
JUST BEFORE HER PERIOD BEGINS 4
OTHER (SPECIFY): ___ 5
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>During her period</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>After period ended</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Middle of the cycle</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Before period begins</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>At any time</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Other/It depends</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>OVCYCLE (V217) suggests the woman's knowledge of the ovulatory cycle by reporting when she believes a woman has the greatest chance of becoming pregnant.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_CHEBALIVE" name="B_CHEBALIVE" files="B" intrvl="discrete">
  <labl>Total number of living children born to respondent</labl>
  <imputation>Total number of living children born to respondent</imputation>
  <security>Total number of living children born to respondent</security>
  <embargo>Total number of living children born to respondent</embargo>
  <respUnit>Total number of living children born to respondent</respUnit>
  <qstn>
    <qstnLit>203) How many sons live with you?
And how many daughters?

IF NONE, ENTER '00'.

SONS AT HOME: ___

DAUGHTERS AT HOME: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>CHEBALIVE (V218) reports the total number of children ever born to the respondent who are currently living. The number reported in CHEBALIVE (V218) is the sum of a series of variables reporting the total number of sons and daughters who are living at home and who are living away from home (V202 to V205 - SONSATHOME, DAUSATHOME, SONSAWAYHOME, and DAUSAWAYHOME). 

The related variable CHEB (V201) reports the total number of children ever born to the respondent, regardless of survival status.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_CHSURVPLUSPG" name="B_CHSURVPLUSPG" files="B" intrvl="discrete">
  <labl>Total number of living children including current pregnancy</labl>
  <imputation>Total number of living children including current pregnancy</imputation>
  <security>Total number of living children including current pregnancy</security>
  <embargo>Total number of living children including current pregnancy</embargo>
  <respUnit>Total number of living children including current pregnancy</respUnit>
  <qstn>
    <qstnLit>203) How many sons live with you?
And how many daughters?

IF NONE, ENTER '00'.

SONS AT HOME: ___

DAUGHTERS AT HOME: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <txt>CHSURVPLUSPG (V219) reports the woman's total number of living children, including her current pregnancy. 

CHSURVPLUSPG takes the value of CHEBALIVE (V218) and adds 1 if the respondent is pregnant.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_CHEBALIVETRUNC" name="B_CHEBALIVETRUNC" files="B" intrvl="discrete">
  <labl>Total number of living children, truncated at 6+</labl>
  <imputation>Total number of living children, truncated at 6+</imputation>
  <security>Total number of living children, truncated at 6+</security>
  <embargo>Total number of living children, truncated at 6+</embargo>
  <respUnit>Total number of living children, truncated at 6+</respUnit>
  <qstn>
    <qstnLit>203) How many sons live with you?
And how many daughters?

IF NONE, ENTER '00'.

SONS AT HOME: ___

DAUGHTERS AT HOME: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6+</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>CHEBALIVETRUNC (V220) reports the woman's total number of living children (including current pregnancy), truncated at 6 or more children. This variable is a grouping of CHSURVPLUSPG (V219) truncated at 6+ children.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_LASTBIRTHTOINTMO" name="B_LASTBIRTHTOINTMO" files="B" intrvl="discrete">
  <labl>Interval between last birth and interview, in months</labl>
  <imputation>Interval between last birth and interview, in months</imputation>
  <security>Interval between last birth and interview, in months</security>
  <embargo>Interval between last birth and interview, in months</embargo>
  <respUnit>Interval between last birth and interview, in months</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have ever given birth, LASTBIRTHTOINTMO (V222) reports the number of months between their last birth and the date of interview.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_CONCEPTDATEFLAG" name="B_CONCEPTDATEFLAG" files="B" intrvl="discrete">
  <labl>Completeness of information on date of conception, current pregnancy</labl>
  <imputation>Completeness of information on date of conception, current pregnancy</imputation>
  <security>Completeness of information on date of conception, current pregnancy</security>
  <embargo>Completeness of information on date of conception, current pregnancy</embargo>
  <respUnit>Completeness of information on date of conception, current pregnancy</respUnit>
  <qstn>
    <qstnLit>224) How many months pregnant are you?

MONTHS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Month- exact date</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Date missing, imputed</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For pregnant women, CONCEPTDATEFLAG (V223) indicates the completeness of information relating to the date of conception of their current pregnancy.  According to the DHS Recode Manuals, "This variable indicates whether the date of conception was exactly specified by the duration of the current pregnancy or the duration was imputed from other information." 

The related variable DURCURPREG reports the duration of the current pregnancy.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_MENSTIMFLAG" name="B_MENSTIMFLAG" files="B" intrvl="discrete">
  <labl>Flag for reported time since last menstrual period</labl>
  <imputation>Flag for reported time since last menstrual period</imputation>
  <security>Flag for reported time since last menstrual period</security>
  <embargo>Flag for reported time since last menstrual period</embargo>
  <respUnit>Flag for reported time since last menstrual period</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Number GT interval since birth</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Number plus amenorrhea GT interval</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Number reported, but period not returned</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Reported before last birth, but no birth</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Reported before last birth, but period since</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Reported never menstruated, but period returned</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported time during pregnancy</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported never menstruated but had kids</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported period before last birth</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>MENSTIMFLAG (V227) is a flag variable that indicates the type of problem, if any, found in editing responses on the time since the respondent's last menstrual period. Cases without a problem are coded 0.

For time since last menstrual period, see TIMEMENSTRUATE (V215).</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TIMEMENSCALC" name="B_TIMEMENSCALC" files="B" intrvl="discrete">
  <labl>Computed time since last menstrual period</labl>
  <imputation>Computed time since last menstrual period</imputation>
  <security>Computed time since last menstrual period</security>
  <embargo>Computed time since last menstrual period</embargo>
  <respUnit>Computed time since last menstrual period</respUnit>
  <qstn>
    <qstnLit>226) When did your last period start?

DAYS: ___ 1
WEEKS: ___ 2
MONTHS: ___ 3
YEARS: ___ 4
IN MENOPAUSE 994
BEFORE LAST BIRTH 995
NEVER MENSTRUATED 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
    <labl>No time difference</labl>
  </catgry>
  <catgry>
    <catValu>991</catValu>
    <labl>In menopause/had hysterectomy</labl>
  </catgry>
  <catgry>
    <catValu>992</catValu>
    <labl>Pregnant, not asked</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>In menopause</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>Before last birth</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Never menstruated</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TIMEMENSCALC (V226) reports the computed time since the respondent's last menstrual period. 

According to the DHS Recode Manuals, this variable

is computed from the response for V215, with durations exceeding the interval since the last birth (V227 = 7,9) recoded to the response "Before last birth" (code 995) and inconsistent responses flagged on variable 227 (codes 1-6) recoded to 997.


Restated in terms of IPUMS-DHS variables and variable labels, TIMEMENSCALC is computed from the response for TIMEMENSTRUATE (Time since woman's last menstrual period).  Cases with durations exceeding the interval since the last birth, when MENSTIMFLAG (Flag for reported time since last menstrual period) has values for "Reported time during pregnancy" or "Reported period before last birth," are recoded as "Before last birth" in TIMEMENSCALC.  Cases with inconsistent or implausible responses according to MENSTIMFLAG (for example, the woman reportedly never menstruated but she has given birth) are recoded to "Inconsistent" for TIMEMENSCALC.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_AGEAT1STBIRTH" name="B_AGEAT1STBIRTH" files="B" intrvl="discrete">
  <labl>Age of respondent at time of first birth</labl>
  <imputation>Age of respondent at time of first birth</imputation>
  <security>Age of respondent at time of first birth</security>
  <embargo>Age of respondent at time of first birth</embargo>
  <respUnit>Age of respondent at time of first birth</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <txt>AGEAT1STBIRTH (V212) reports the age of the woman at the time of her first birth. This variable is calculated by using the century month code (CMC) of the date of the woman's first birth (DOB1STKIDCMC) and the CMC of the woman's date of birth (DOBCMC).</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_HHMEMTOTAL" name="B_HHMEMTOTAL" files="B" intrvl="discrete">
  <labl>Total number of household members</labl>
  <imputation>Total number of household members</imputation>
  <security>Total number of household members</security>
  <embargo>Total number of household members</embargo>
  <respUnit>Total number of household members</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <txt>HHMEMTOTAL (V136) reports the total number of members of the woman's household.  

According to the DHS Recode Manuals, HHMEMTOTAL is calculated by summing "the number of usual residents and the number of visitors who slept in the house the previous night that were listed in the household schedule."  "Usual residents" of the household are identified by the RESIDENT variable.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_HHKIDLT5" name="B_HHKIDLT5" files="B" intrvl="discrete">
  <labl>Number of children under 5 in household</labl>
  <imputation>Number of children under 5 in household</imputation>
  <security>Number of children under 5 in household</security>
  <embargo>Number of children under 5 in household</embargo>
  <respUnit>Number of children under 5 in household</respUnit>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <txt>HHKIDLT5 (V137) reports the number of children age 5 and under who reside in the household. Visiting children are not included in the count.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_HHELIGWOMEN" name="B_HHELIGWOMEN" files="B" intrvl="discrete">
  <labl>Number of eligible women in household</labl>
  <imputation>Number of eligible women in household</imputation>
  <security>Number of eligible women in household</security>
  <embargo>Number of eligible women in household</embargo>
  <respUnit>Number of eligible women in household</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>No women age 15-49</labl>
  </catgry>
  <txt>HHELIGWOMEN (V138) reports the number of eligible women in the household, usually defined as women of childbearing age who slept in the household the previous night (regardless of whether they were usual residents or visitors).  The age and marital status guidelines for defining eligible women varies across samples. See Comparability.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_HHEADAGE" name="B_HHEADAGE" files="B" intrvl="discrete">
  <labl>Age of household head</labl>
  <imputation>Age of household head</imputation>
  <security>Age of household head</security>
  <embargo>Age of household head</embargo>
  <respUnit>Age of household head</respUnit>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>97+</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>96</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>95</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <txt>HHEADAGE (V152) reports the age of the head of the household.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_HHEADAGEHH" name="B_HHEADAGEHH" files="B" intrvl="discrete">
  <labl>Age of household head (from HH record)</labl>
  <imputation>Age of household head (from HH record)</imputation>
  <security>Age of household head (from HH record)</security>
  <embargo>Age of household head (from HH record)</embargo>
  <respUnit>Age of household head (from HH record)</respUnit>
  <qstn>
    <qstnLit>7) AGE:
How old is (NAME)?

NOTE '97' FOR 97 AND OLDER.

AGE: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>95+</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <txt>HHEADAGEHH (HV220) reports the age of the head of the household.

The information in HHEADAGEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_HHEADSEX" name="B_HHEADSEX" files="B" intrvl="discrete">
  <labl>Sex of household head</labl>
  <imputation>Sex of household head</imputation>
  <security>Sex of household head</security>
  <embargo>Sex of household head</embargo>
  <respUnit>Sex of household head</respUnit>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <txt>HHEADSEX (V151) reports the sex of the head of the household.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_HHEADSEXHH" name="B_HHEADSEXHH" files="B" intrvl="discrete">
  <labl>Sex of household head (from hh record)</labl>
  <imputation>Sex of household head (from hh record)</imputation>
  <security>Sex of household head (from hh record)</security>
  <embargo>Sex of household head (from hh record)</embargo>
  <respUnit>Sex of household head (from hh record)</respUnit>
  <qstn>
    <qstnLit>6) SEX:
Is (NAME) male or female?

MALE 1
FEMALE 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>HHEADSEXHH (HV219) reports the sex of the head of the household.

The information in HHEADSEXHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FAMSTRUCTR" name="B_FAMSTRUCTR" files="B" intrvl="discrete">
  <labl>Relationship structure in HH</labl>
  <imputation>Relationship structure in HH</imputation>
  <security>Relationship structure in HH</security>
  <embargo>Relationship structure in HH</embargo>
  <respUnit>Relationship structure in HH</respUnit>
  <qstn>
    <qstnLit>1) NUMBER</qstnLit>
  </qstn>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Unrelated adults</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Three plus related adults</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Two adults, same sex</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Two adults, opp sex</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>One adult</labl>
  </catgry>
  <catgry>
    <labl>No adults</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FAMSTRUCTR (HV217) indicates the relationship structure (no adults, one adult, two related adults of the opposite sex, two related adults of the same sex, three or more related adults, or unrelated adults) in the household. Only usual (de jure) household members aged 15 and over are considered in determining the household's relationship structure. FAMSTRUCTR is a constructed variable, based on information about each household member's age, sex, and relationship to the householder, which was collected when completing the listing of persons in the household at the time of the survey.

The information in FAMSTRUCTR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_SLEEPROOMS" name="B_SLEEPROOMS" files="B" intrvl="discrete">
  <labl>Number of rooms in HH used for sleeping</labl>
  <imputation>Number of rooms in HH used for sleeping</imputation>
  <security>Number of rooms in HH used for sleeping</security>
  <embargo>Number of rooms in HH used for sleeping</embargo>
  <respUnit>Number of rooms in HH used for sleeping</respUnit>
  <qstn>
    <qstnLit>24) In your household, how many rooms do you use for sleeping?

ROOMS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35+</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>SLEEPROOMS (HV216) reports the number of rooms in the household used for sleeping.</txt>
  <concept>
    <title>Housing Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FLOOR" name="B_FLOOR" files="B" intrvl="discrete">
  <labl>Main material of floor</labl>
  <imputation>Main material of floor</imputation>
  <security>Main material of floor</security>
  <embargo>Main material of floor</embargo>
  <respUnit>Main material of floor</respUnit>
  <qstn>
    <qstnLit>25) PRINCIPLE FLOORING MATERIAL.

RECORD OBSERVATION.

NATURAL FLOOR

EARTH/SAND 11

FINISHED FLOOR

PARQUET OR POLISHED WOOD 31
VINYL STRIPS 32
TILE 33
CEMENT 34
RUG 35

OTHER (SPECIFY): ___ 41</qstnLit>
  </qstn>
  <catgry>
    <catValu>116</catValu>
    <labl>Mud and hay</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>391</catValu>
    <labl>Plaster</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>NATURAL</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>Earth-based</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>Earth, sand</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>Earth, mud</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>Earth, mud, clay</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>Sand</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>Dirt/Earth</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Dung-based</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>Dung</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>Earth and dung</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>Mud, dung, sand</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>RUDIMENTARY</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Wood</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>Wood planks</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>Wood and tile</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>Wood/palm/bamboo</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>Palm/bamboo</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>Palm/bamboo/leaves</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>Other rudimentary</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>Broken bricks</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>Adobe</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>Unfinished stone</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>FINISHED</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>Parquet/polished wood</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>Polished wood/vinyl/tiles</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>Vinyl/asphalt strips/linoleum</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>Linoleum</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>Tiles/mosaic</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>Ceramic tiles</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>Cement tiles</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>Ceramic/terrazo tiles</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>Ceramic/marble tiles</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>Tiles/brick</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>Cement/concrete</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>Carpet</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>Terrazzo</labl>
  </catgry>
  <catgry>
    <catValu>370</catValu>
    <labl>Stone</labl>
  </catgry>
  <catgry>
    <catValu>380</catValu>
    <labl>Bricks</labl>
  </catgry>
  <catgry>
    <catValu>390</catValu>
    <labl>Other finished</labl>
  </catgry>
  <catgry>
    <catValu>400</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>Vinyl</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>Mat</labl>
  </catgry>
  <txt>FLOOR (HV213) reports the main material of the floor of the dwelling.  Response categories vary widely across surveys but fall into broad groups (i.e., natural materials, rudimentary processed materials, and finished materials).  See Comparability.</txt>
  <concept>
    <title>Housing Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_ROOF" name="B_ROOF" files="B" intrvl="discrete">
  <labl>Main material of roof</labl>
  <imputation>Main material of roof</imputation>
  <security>Main material of roof</security>
  <embargo>Main material of roof</embargo>
  <respUnit>Main material of roof</respUnit>
  <qstn>
    <qstnLit>26) MAIN ROOF MATERIAL.

RECORD OBSERVATION.

CONCRETE 01
SHEET METAL 02
BANCO [TRANSLATOR NOTE: A TYPE OF MUDBRICK OR ADOBE SPECIFIC TO WEST AFRICA] 03
STRAW 04
CANVAS 05
OTHER (SPECIFY): ___ 06</qstnLit>
  </qstn>
  <catgry>
    <catValu>126</catValu>
    <labl>Mud and hay</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>Sticks/sticks with mud or dung</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>Reinforced brick cement</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>000</catValu>
    <labl>No roof</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>NATURAL</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>Thatch/palm leaf/grass/makuti</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>Thatch/palm leaf</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>Grass, thatch</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>Grass, thatch, makuti</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>Thatch</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>Thatch/mat/leaves</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>Leaves</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>Grass/leaves/mud</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Earth</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>Mud</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>Dung, mud</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>Earth, mud</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>Sod</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>Sod/mud and grass mixture</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>Straw</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>RUDIMENTARY</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Rustic mat</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>Rustic mat, plastic sheets</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>Plastic/polythene sheet</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>Palm/bamboo</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>Palm, bamboo, grass</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>Reed, bamboo</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>Wood planks</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>Wooden tiles, planks</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>Wood, mulch</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>Cardboard</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>Rudimentary - metal</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>Tin cans</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>Iron sheets</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>Other rudimentary</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>Mobile roofs of nomads</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>Skin</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>FINISHED</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>Metal</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>Metal, zinc</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>Corrugated metal sheet, asbestos</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>Corrugated iron</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>Tin</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>Asbetos</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>Wood</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>Cement/concrete</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>Cement</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>Concrete</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>Tiles</labl>
  </catgry>
  <catgry>
    <catValu>341</catValu>
    <labl>Ceramic tiles</labl>
  </catgry>
  <catgry>
    <catValu>342</catValu>
    <labl>Iron and tiles</labl>
  </catgry>
  <catgry>
    <catValu>343</catValu>
    <labl>Tiles/slate</labl>
  </catgry>
  <catgry>
    <catValu>344</catValu>
    <labl>Mud tiles</labl>
  </catgry>
  <catgry>
    <catValu>345</catValu>
    <labl>Ceramic tiles, harvey (steel) tiles</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>Cement fiber</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>Calamine/cement fiber</labl>
  </catgry>
  <catgry>
    <catValu>352</catValu>
    <labl>Asbestos, cement fiber</labl>
  </catgry>
  <catgry>
    <catValu>353</catValu>
    <labl>Zinc/cement fiber</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>Roofing shingles</labl>
  </catgry>
  <catgry>
    <catValu>370</catValu>
    <labl>Bricks</labl>
  </catgry>
  <catgry>
    <catValu>371</catValu>
    <labl>Unburnt bricks</labl>
  </catgry>
  <catgry>
    <catValu>372</catValu>
    <labl>Burnt brick</labl>
  </catgry>
  <catgry>
    <catValu>380</catValu>
    <labl>Stone</labl>
  </catgry>
  <catgry>
    <catValu>381</catValu>
    <labl>Loosely packed stone</labl>
  </catgry>
  <catgry>
    <catValu>382</catValu>
    <labl>Stone slabs</labl>
  </catgry>
  <catgry>
    <catValu>383</catValu>
    <labl>Slate</labl>
  </catgry>
  <catgry>
    <catValu>400</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>Waste materials</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ROOF (HV215) reports the main material of the roof of the dwelling.  Response categories vary widely across surveys but fall into broad groups (i.e., natural materials, rudimentary processed materials, and finished materials).  See Comparability.</txt>
  <concept>
    <title>Housing Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_ELECTRC" name="B_ELECTRC" files="B" intrvl="discrete">
  <labl>Has electricity</labl>
  <imputation>Has electricity</imputation>
  <security>Has electricity</security>
  <embargo>Has electricity</embargo>
  <respUnit>Has electricity</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <txt>ELECTRC (V119) indicates whether the household has electricity. Samples vary in how that information was collected. See Comparability.</txt>
  <concept>
    <title>Housing Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_ELECTRCHH" name="B_ELECTRCHH" files="B" intrvl="discrete">
  <labl>Dwelling has electricity (from hh record)</labl>
  <imputation>Dwelling has electricity (from hh record)</imputation>
  <security>Dwelling has electricity (from hh record)</security>
  <embargo>Dwelling has electricity (from hh record)</embargo>
  <respUnit>Dwelling has electricity (from hh record)</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ELECTRCHH (HV206) indicates whether the household has electricity. Samples vary in how that information was collected.

The information in ELECTRCHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Housing Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TOILETTYPE" name="B_TOILETTYPE" files="B" intrvl="discrete">
  <labl>Type of toilet facility</labl>
  <imputation>Type of toilet facility</imputation>
  <security>Type of toilet facility</security>
  <embargo>Type of toilet facility</embargo>
  <respUnit>Type of toilet facility</respUnit>
  <qstn>
    <qstnLit>22) What kind of toilet is there in your household?

FLUSH TOILET

OWN FLUSH TOILET 11
SHARED FLUSH TOILET 12
PUBLIC FLUSH TOILET 13

PIT TOILET OR LATRINE

TRADITIONAL PIT TOILET 21
VENTILATED IMPROVED PIT (VIP) OR LATRINES 22

NO FACILITY/BRUSH/FIELD 31
OTHER (SPECIFY): ___ 41</qstnLit>
  </qstn>
  <catgry>
    <catValu>3431</catValu>
    <labl>Pit latrine with ventilation pipe, no mesh</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>0000</catValu>
    <labl>NO FACILITY</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>FLUSH TOILET</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Unspecified type of flush toilet</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>Own flush toilet (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>Shared flush toilet (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Modern flush toilet</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Flush to piped sewer system</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>Traditional with tank flush</labl>
  </catgry>
  <catgry>
    <catValu>1400</catValu>
    <labl>Bucket flush toilet</labl>
  </catgry>
  <catgry>
    <catValu>1410</catValu>
    <labl>Flush to pit latrine</labl>
  </catgry>
  <catgry>
    <catValu>1420</catValu>
    <labl>Flush to somewhere else</labl>
  </catgry>
  <catgry>
    <catValu>1430</catValu>
    <labl>Flush, don't know where</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>NON-FLUSHING TOILET</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Composting toilet</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Dry toilet</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Ecosan toilet</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>PIT TOILET LATRINE</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Unspecified type of pit latrine</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Own pit toilet or latrine (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Shared pit toiletor latrine (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>3121</catValu>
    <labl>Public pit toilet or latrine (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>Traditional pit toilet or latrine</labl>
  </catgry>
  <catgry>
    <catValu>3210</catValu>
    <labl>Pit latrine without slab or open pit</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Pit latrine with slab</labl>
  </catgry>
  <catgry>
    <catValu>3400</catValu>
    <labl>Ventilated improved pit latrine</labl>
  </catgry>
  <catgry>
    <catValu>3410</catValu>
    <labl>Covered pit latrine, no slab</labl>
  </catgry>
  <catgry>
    <catValu>3420</catValu>
    <labl>Covered pit latrine with slab</labl>
  </catgry>
  <catgry>
    <catValu>3430</catValu>
    <labl>Covered latrine</labl>
  </catgry>
  <catgry>
    <catValu>3440</catValu>
    <labl>Septic pit</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>UNIMPROVED TOILET</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>Bucket toilet</labl>
  </catgry>
  <catgry>
    <catValu>4200</catValu>
    <labl>River</labl>
  </catgry>
  <catgry>
    <catValu>4300</catValu>
    <labl>Hanging latrine over water source</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1112</catValu>
    <labl>Private flush toilet, outside residence</labl>
  </catgry>
  <catgry>
    <catValu>1211</catValu>
    <labl>Flush to piped sewer system, indoors</labl>
  </catgry>
  <catgry>
    <catValu>1212</catValu>
    <labl>Flush to piped sewer system, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>1213</catValu>
    <labl>Flush to piped sewer system, out  of yard</labl>
  </catgry>
  <catgry>
    <catValu>3310</catValu>
    <labl>Pit latrine with washable slab</labl>
  </catgry>
  <catgry>
    <catValu>3320</catValu>
    <labl>Pit latrine with non-washable slab</labl>
  </catgry>
  <catgry>
    <catValu>3490</catValu>
    <labl>Other improved system</labl>
  </catgry>
  <catgry>
    <catValu>3463</catValu>
    <labl>Latrine to piped public system, out of yard</labl>
  </catgry>
  <catgry>
    <catValu>3462</catValu>
    <labl>Latrine to piped public system, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>3461</catValu>
    <labl>Latrine to piped public system, indoors</labl>
  </catgry>
  <catgry>
    <catValu>3443</catValu>
    <labl>Latrine to septic tank, out of yard</labl>
  </catgry>
  <catgry>
    <catValu>3442</catValu>
    <labl>Latrine to septic tank, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>3441</catValu>
    <labl>Latrine to septic tank, indoors</labl>
  </catgry>
  <catgry>
    <catValu>3212</catValu>
    <labl>Open pit latrine, out of yard</labl>
  </catgry>
  <catgry>
    <catValu>3211</catValu>
    <labl>Open pit latrine, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>1253</catValu>
    <labl>Flush to septic tank, out of yard</labl>
  </catgry>
  <catgry>
    <catValu>1252</catValu>
    <labl>Flush to septic tank, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>1251</catValu>
    <labl>Flush to septic tank, indoors</labl>
  </catgry>
  <catgry>
    <catValu>1250</catValu>
    <labl>Flush to septic tank</labl>
  </catgry>
  <catgry>
    <catValu>1240</catValu>
    <labl>Flush, not to sewer</labl>
  </catgry>
  <catgry>
    <catValu>1233</catValu>
    <labl>Flush to ground water, out of yard</labl>
  </catgry>
  <catgry>
    <catValu>1232</catValu>
    <labl>Flush to ground water, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>1231</catValu>
    <labl>Flush to ground water, indoors</labl>
  </catgry>
  <catgry>
    <catValu>3450</catValu>
    <labl>Latrine with manual flush</labl>
  </catgry>
  <catgry>
    <catValu>3460</catValu>
    <labl>Latrine to piped public system</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1230</catValu>
    <labl>Flush to pipe connected to ground water</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Flush to pipe connected to canal</labl>
  </catgry>
  <catgry>
    <catValu>1132</catValu>
    <labl>Public flush toilet, outside residence</labl>
  </catgry>
  <catgry>
    <catValu>1131</catValu>
    <labl>Public flush toilet, inside residence</labl>
  </catgry>
  <catgry>
    <catValu>1130</catValu>
    <labl>Public flush toilet (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>1111</catValu>
    <labl>Private flush toilet, inside residence</labl>
  </catgry>
  <txt>TOILETTYPE (HV205) reports the household's type of toilet facility, with no facility coded "0." Responses vary widely across surveys; see Comparability.

The information in TOILETTYPE is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_NDRINKWTR" name="B_NDRINKWTR" files="B" intrvl="discrete">
  <labl>Major source of non-drinking water</labl>
  <imputation>Major source of non-drinking water</imputation>
  <security>Major source of non-drinking water</security>
  <embargo>Major source of non-drinking water</embargo>
  <respUnit>Major source of non-drinking water</respUnit>
  <qstn>
    <qstnLit>18) Where does the water your household uses for hand and dishwashing come from?

PIPED WATER

PIPED INTO THE RESIDENCE/YARD/PLOT 11 (GO TO 20)
PUBLIC TAP 12

WELL WATER

WELL IN THE RESIDENCE/YARD/PLOT 21 (GO TO 20)
PUBLIC WELL OR BOREHOLE 22

SURFACE WATER

SPRING 31
RIVER OR STREAM 32
POND/LAKE 33
DAM 34

RAINWATER 41 (GO TO 20)
WATER VENDOR 51
BOTTLED WATER 61 (GO TO 20)
OTHER (SPECIFY): ___ 71</qstnLit>
  </qstn>
  <catgry>
    <catValu>9996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>PIPED WATER</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Piped into own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>Piped into own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>Piped into own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Piped outside own residence/plot</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Public tap/standpipe</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Piped into neighbor's dwelling/yard</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>WELL WATER</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Unprotected/open well</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Open well in own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2111</catValu>
    <labl>Open well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2112</catValu>
    <labl>Open well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>Open public well</labl>
  </catgry>
  <catgry>
    <catValu>2130</catValu>
    <labl>Open well in neighbor's residence</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Protected well</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Protected well in own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2211</catValu>
    <labl>Protected well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2212</catValu>
    <labl>Protected well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2220</catValu>
    <labl>Protected public well</labl>
  </catgry>
  <catgry>
    <catValu>2230</catValu>
    <labl>Tube well or borehole</labl>
  </catgry>
  <catgry>
    <catValu>2231</catValu>
    <labl>Borehole in yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2232</catValu>
    <labl>Public borehole</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Unspecified well</labl>
  </catgry>
  <catgry>
    <catValu>2310</catValu>
    <labl>Unspecified well in residence/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2311</catValu>
    <labl>Unspecified well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2312</catValu>
    <labl>Unspecified well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2313</catValu>
    <labl>Handpump in yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2320</catValu>
    <labl>Unspecified public well</labl>
  </catgry>
  <catgry>
    <catValu>2321</catValu>
    <labl>Public shallow well</labl>
  </catgry>
  <catgry>
    <catValu>2322</catValu>
    <labl>Public traditional well</labl>
  </catgry>
  <catgry>
    <catValu>2323</catValu>
    <labl>Public handpump</labl>
  </catgry>
  <catgry>
    <catValu>2330</catValu>
    <labl>Unspecified neighbor's well</labl>
  </catgry>
  <catgry>
    <catValu>2340</catValu>
    <labl>Unspecified well by type</labl>
  </catgry>
  <catgry>
    <catValu>2341</catValu>
    <labl>Well with pump</labl>
  </catgry>
  <catgry>
    <catValu>2342</catValu>
    <labl>Well without pump</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>SURFACE WATER</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Spring</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Protected spring</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Unprotected spring</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>River/dam/lake/ponds/streams/canal/irrigation channel</labl>
  </catgry>
  <catgry>
    <catValu>3210</catValu>
    <labl>River, stream</labl>
  </catgry>
  <catgry>
    <catValu>3220</catValu>
    <labl>Pond, lake</labl>
  </catgry>
  <catgry>
    <catValu>3230</catValu>
    <labl>Dam</labl>
  </catgry>
  <catgry>
    <catValu>3240</catValu>
    <labl>Canal or river/canal</labl>
  </catgry>
  <catgry>
    <catValu>3250</catValu>
    <labl>Irrigation ditch</labl>
  </catgry>
  <catgry>
    <catValu>3260</catValu>
    <labl>Dugout pond</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Channeled by gravity flow scheme</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>RAINWATER</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>Rainwater collected in tank</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>PURCHASED FROM SUPPLIER</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Tanker truck</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Cart with small tank</labl>
  </catgry>
  <catgry>
    <catValu>5300</catValu>
    <labl>Water vendor</labl>
  </catgry>
  <catgry>
    <catValu>5400</catValu>
    <labl>Bottled water</labl>
  </catgry>
  <catgry>
    <catValu>5410</catValu>
    <labl>Sachet water (in a bag)</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>OTHER SOURCE</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>5201</catValu>
    <labl>Motorcycle with 3 wheels</labl>
  </catgry>
  <txt>NDRINKWTR (HV202) reports the household's main source of water for uses other than drinking (for example, cooking and washing).  Responses vary widely across surveys; see Comparability.

The information in NDRINKWTR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_DRINKWTR" name="B_DRINKWTR" files="B" intrvl="discrete">
  <labl>Major source of drinking water</labl>
  <imputation>Major source of drinking water</imputation>
  <security>Major source of drinking water</security>
  <embargo>Major source of drinking water</embargo>
  <respUnit>Major source of drinking water</respUnit>
  <qstn>
    <qstnLit>21) Where does the water your household uses for drinking come from?

PIPED WATER

PIPED INTO THE RESIDENCE/YARD/PLOT 11
PUBLIC TAP 12

WELL WATER

WELL IN THE RESIDENCE/YARD/PLOT 21
PUBLIC WELL OR BOREHOLE 22

SURFACE WATER

SPRING 31
RIVER OR STREAM 32
POND/LAKE 33
DAM 34

RAINWATER 41
WATER VENDOR 51
BOTTLED WATER 61
OTHER (SPECIFY): ___ 71</qstnLit>
  </qstn>
  <catgry>
    <catValu>2213</catValu>
    <labl>Protected well in neighbor's residence/plot</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>PIPED WATER</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Piped into own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>Piped into own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>Piped into own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Piped outside own residence/plot</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Public tap/standpipe</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Piped into neighbor's dwelling/yard</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>WELL WATER</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Unprotected/open well</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Open well in own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2111</catValu>
    <labl>Open well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2112</catValu>
    <labl>Open well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>Open public well</labl>
  </catgry>
  <catgry>
    <catValu>2130</catValu>
    <labl>Open well in neighbor's residence</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Protected well</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Protected well in own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2211</catValu>
    <labl>Protected well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2212</catValu>
    <labl>Protected well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2220</catValu>
    <labl>Protected public well</labl>
  </catgry>
  <catgry>
    <catValu>2230</catValu>
    <labl>Tube well or borehole</labl>
  </catgry>
  <catgry>
    <catValu>2231</catValu>
    <labl>Borehole in yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2232</catValu>
    <labl>Public borehole</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Unspecified well</labl>
  </catgry>
  <catgry>
    <catValu>2310</catValu>
    <labl>Unspecified well in residence/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2311</catValu>
    <labl>Unspecified well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2312</catValu>
    <labl>Unspecified well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2313</catValu>
    <labl>Handpump in yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2320</catValu>
    <labl>Unspecified public well</labl>
  </catgry>
  <catgry>
    <catValu>2321</catValu>
    <labl>Public shallow well</labl>
  </catgry>
  <catgry>
    <catValu>2322</catValu>
    <labl>Public traditional well</labl>
  </catgry>
  <catgry>
    <catValu>2323</catValu>
    <labl>Public handpump</labl>
  </catgry>
  <catgry>
    <catValu>2330</catValu>
    <labl>Unspecified neighbor's well</labl>
  </catgry>
  <catgry>
    <catValu>2340</catValu>
    <labl>Unspecified well by type</labl>
  </catgry>
  <catgry>
    <catValu>2341</catValu>
    <labl>Well with pump</labl>
  </catgry>
  <catgry>
    <catValu>2342</catValu>
    <labl>Well without pump</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>SURFACE WATER</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Spring</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Protected spring/surface water</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Unprotected spring/surface water</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>River/dam/lake/ponds/streams/canal/irrigation channel</labl>
  </catgry>
  <catgry>
    <catValu>3210</catValu>
    <labl>River, stream</labl>
  </catgry>
  <catgry>
    <catValu>3220</catValu>
    <labl>Pond, lake</labl>
  </catgry>
  <catgry>
    <catValu>3230</catValu>
    <labl>Dam</labl>
  </catgry>
  <catgry>
    <catValu>3240</catValu>
    <labl>Canal or river/canal</labl>
  </catgry>
  <catgry>
    <catValu>3250</catValu>
    <labl>Irrigation ditch</labl>
  </catgry>
  <catgry>
    <catValu>3260</catValu>
    <labl>Dugout pond</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Channeled by gravity flow scheme</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>RAINWATER</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>Rainwater collected in tank</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>PURCHASED FROM SUPPLIER</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Tanker truck</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Cart with small tank</labl>
  </catgry>
  <catgry>
    <catValu>5300</catValu>
    <labl>Water vendor</labl>
  </catgry>
  <catgry>
    <catValu>5400</catValu>
    <labl>Bottled water</labl>
  </catgry>
  <catgry>
    <catValu>5410</catValu>
    <labl>Sachet water (in a bag)</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>OTHER SOURCE</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1211</catValu>
    <labl>Public tap from filtration plant</labl>
  </catgry>
  <catgry>
    <catValu>1212</catValu>
    <labl>Public tap from stone pipes</labl>
  </catgry>
  <catgry>
    <catValu>5310</catValu>
    <labl>Water vendor from unknown source</labl>
  </catgry>
  <catgry>
    <catValu>5320</catValu>
    <labl>Water vendor from protected well</labl>
  </catgry>
  <catgry>
    <catValu>5330</catValu>
    <labl>Water vendor from unprotected well</labl>
  </catgry>
  <catgry>
    <catValu>5340</catValu>
    <labl>Water vendor from pond/lake</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>5500</catValu>
    <labl>Community reverse osmosis plant</labl>
  </catgry>
  <catgry>
    <catValu>5201</catValu>
    <labl>Motorcycle with 3 wheels</labl>
  </catgry>
  <txt>DRINKWTR (HV201) reports the household's main source of drinking water.  Responses vary widely across surveys; see Comparability.

The information in DRINKWTR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_SAMEH2OSRC" name="B_SAMEH2OSRC" files="B" intrvl="discrete">
  <labl>Same water source used for drinking and other water</labl>
  <imputation>Same water source used for drinking and other water</imputation>
  <security>Same water source used for drinking and other water</security>
  <embargo>Same water source used for drinking and other water</embargo>
  <respUnit>Same water source used for drinking and other water</respUnit>
  <qstn>
    <qstnLit>20) Does your household use water from the same source for drinking?

YES 1 (GO TO 22)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <txt>SAMEH2OSRC (V142) indicates whether the household used the same source of water for drinking and for other uses (such as laundry and dishwashing).  For samples without this variable, the information could be calculated by comparing the household's reported sources of drinking water and water for other uses.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_SAMEH2OSRCHH" name="B_SAMEH2OSRCHH" files="B" intrvl="discrete">
  <labl>Same water source used for drinking and other water (HH record)</labl>
  <imputation>Same water source used for drinking and other water (HH record)</imputation>
  <security>Same water source used for drinking and other water (HH record)</security>
  <embargo>Same water source used for drinking and other water (HH record)</embargo>
  <respUnit>Same water source used for drinking and other water (HH record)</respUnit>
  <qstn>
    <qstnLit>20) Does your household use water from the same source for drinking?

YES 1 (GO TO 22)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>With information taken from the household record, SAMEH2OSRCHH (HV203) indicates whether the household used the same source of water for drinking and for other uses (such as laundry and dishwashing).  For samples without this variable, the information could be calculated by comparing the household's reported sources of drinking water and water for other uses.

The information in SAMEH2OSRCHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TIMETOWTRIND" name="B_TIMETOWTRIND" files="B" intrvl="discrete">
  <labl>Time to water source (from individual respondent record)</labl>
  <imputation>Time to water source (from individual respondent record)</imputation>
  <security>Time to water source (from individual respondent record)</security>
  <embargo>Time to water source (from individual respondent record)</embargo>
  <respUnit>Time to water source (from individual respondent record)</respUnit>
  <qstn>
    <qstnLit>19) How much time does it take to go there, get water, and come back?

MINUTES: ___
ON LOCATION 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
    <labl>0 (on premises)</labl>
  </catgry>
  <catgry>
    <catValu>001</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>002</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>003</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>004</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>005</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>006</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>007</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>008</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>009</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>010</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>011</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>012</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>013</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>014</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>015</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>016</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>017</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>018</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>019</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>020</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>021</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>022</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>023</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>024</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>025</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>026</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>027</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>028</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>029</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>030</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>031</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>032</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>033</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>034</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>035</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>036</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>037</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>038</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>039</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>040</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>041</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>042</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>043</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>044</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>045</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>046</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>047</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>048</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>049</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>050</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>051</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>052</catValu>
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  <catgry>
    <catValu>053</catValu>
    <labl>53</labl>
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  <catgry>
    <catValu>054</catValu>
    <labl>54</labl>
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  <catgry>
    <catValu>055</catValu>
    <labl>55</labl>
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  <catgry>
    <catValu>056</catValu>
    <labl>56</labl>
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  <catgry>
    <catValu>057</catValu>
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  <catgry>
    <catValu>058</catValu>
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  <catgry>
    <catValu>059</catValu>
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  <catgry>
    <catValu>060</catValu>
    <labl>60</labl>
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  <catgry>
    <catValu>061</catValu>
    <labl>61</labl>
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  <catgry>
    <catValu>062</catValu>
    <labl>62</labl>
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  <catgry>
    <catValu>063</catValu>
    <labl>63</labl>
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  <catgry>
    <catValu>064</catValu>
    <labl>64</labl>
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  <catgry>
    <catValu>065</catValu>
    <labl>65</labl>
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  <catgry>
    <catValu>066</catValu>
    <labl>66</labl>
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  <catgry>
    <catValu>067</catValu>
    <labl>67</labl>
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  <catgry>
    <catValu>068</catValu>
    <labl>68</labl>
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  <catgry>
    <catValu>069</catValu>
    <labl>69</labl>
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  <catgry>
    <catValu>070</catValu>
    <labl>70</labl>
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  <catgry>
    <catValu>071</catValu>
    <labl>71</labl>
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  <catgry>
    <catValu>072</catValu>
    <labl>72</labl>
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  <catgry>
    <catValu>073</catValu>
    <labl>73</labl>
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  <catgry>
    <catValu>074</catValu>
    <labl>74</labl>
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  <catgry>
    <catValu>075</catValu>
    <labl>75</labl>
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  <catgry>
    <catValu>076</catValu>
    <labl>76</labl>
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  <catgry>
    <catValu>077</catValu>
    <labl>77</labl>
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  <catgry>
    <catValu>078</catValu>
    <labl>78</labl>
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  <catgry>
    <catValu>079</catValu>
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  <catgry>
    <catValu>080</catValu>
    <labl>80</labl>
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  <catgry>
    <catValu>081</catValu>
    <labl>81</labl>
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  <catgry>
    <catValu>082</catValu>
    <labl>82</labl>
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  <catgry>
    <catValu>083</catValu>
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  <catgry>
    <catValu>084</catValu>
    <labl>84</labl>
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  <catgry>
    <catValu>085</catValu>
    <labl>85</labl>
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  <catgry>
    <catValu>086</catValu>
    <labl>86</labl>
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  <catgry>
    <catValu>087</catValu>
    <labl>87</labl>
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  <catgry>
    <catValu>088</catValu>
    <labl>88</labl>
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  <catgry>
    <catValu>089</catValu>
    <labl>89</labl>
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  <catgry>
    <catValu>090</catValu>
    <labl>90</labl>
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  <catgry>
    <catValu>091</catValu>
    <labl>91</labl>
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  <catgry>
    <catValu>092</catValu>
    <labl>92</labl>
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  <catgry>
    <catValu>093</catValu>
    <labl>93</labl>
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  <catgry>
    <catValu>094</catValu>
    <labl>94</labl>
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  <catgry>
    <catValu>095</catValu>
    <labl>95</labl>
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  <catgry>
    <catValu>096</catValu>
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  <catgry>
    <catValu>097</catValu>
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  <catgry>
    <catValu>098</catValu>
    <labl>98</labl>
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  <catgry>
    <catValu>099</catValu>
    <labl>99</labl>
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  <catgry>
    <catValu>100</catValu>
    <labl>100</labl>
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  <catgry>
    <catValu>101</catValu>
    <labl>101</labl>
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  <catgry>
    <catValu>102</catValu>
    <labl>102</labl>
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  <catgry>
    <catValu>103</catValu>
    <labl>103</labl>
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  <catgry>
    <catValu>104</catValu>
    <labl>104</labl>
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  <catgry>
    <catValu>105</catValu>
    <labl>105</labl>
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  <catgry>
    <catValu>106</catValu>
    <labl>106</labl>
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  <catgry>
    <catValu>107</catValu>
    <labl>107</labl>
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  <catgry>
    <catValu>108</catValu>
    <labl>108</labl>
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  <catgry>
    <catValu>109</catValu>
    <labl>109</labl>
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  <catgry>
    <catValu>110</catValu>
    <labl>110</labl>
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  <catgry>
    <catValu>111</catValu>
    <labl>111</labl>
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  <catgry>
    <catValu>112</catValu>
    <labl>112</labl>
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  <catgry>
    <catValu>113</catValu>
    <labl>113</labl>
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  <catgry>
    <catValu>114</catValu>
    <labl>114</labl>
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  <catgry>
    <catValu>115</catValu>
    <labl>115</labl>
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  <catgry>
    <catValu>116</catValu>
    <labl>116</labl>
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  <catgry>
    <catValu>117</catValu>
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  <catgry>
    <catValu>118</catValu>
    <labl>118</labl>
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  <catgry>
    <catValu>119</catValu>
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  <catgry>
    <catValu>120</catValu>
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  <catgry>
    <catValu>121</catValu>
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  <catgry>
    <catValu>122</catValu>
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  <catgry>
    <catValu>123</catValu>
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  <catgry>
    <catValu>124</catValu>
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  <catgry>
    <catValu>125</catValu>
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    <catValu>126</catValu>
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  <catgry>
    <catValu>127</catValu>
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  <catgry>
    <catValu>128</catValu>
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  <catgry>
    <catValu>129</catValu>
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  <catgry>
    <catValu>130</catValu>
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  <catgry>
    <catValu>131</catValu>
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  <catgry>
    <catValu>132</catValu>
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  <catgry>
    <catValu>133</catValu>
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  <catgry>
    <catValu>134</catValu>
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  <catgry>
    <catValu>135</catValu>
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  <catgry>
    <catValu>136</catValu>
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  <catgry>
    <catValu>137</catValu>
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  <catgry>
    <catValu>138</catValu>
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    <catValu>139</catValu>
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  <catgry>
    <catValu>140</catValu>
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    <catValu>141</catValu>
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    <catValu>142</catValu>
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    <catValu>143</catValu>
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    <catValu>144</catValu>
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    <catValu>145</catValu>
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    <catValu>146</catValu>
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    <catValu>147</catValu>
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    <catValu>148</catValu>
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  <catgry>
    <catValu>149</catValu>
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  <catgry>
    <catValu>150</catValu>
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    <catValu>151</catValu>
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    <catValu>152</catValu>
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    <catValu>153</catValu>
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    <catValu>154</catValu>
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    <catValu>155</catValu>
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    <catValu>156</catValu>
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    <catValu>157</catValu>
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    <catValu>158</catValu>
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    <catValu>159</catValu>
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    <catValu>160</catValu>
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    <catValu>161</catValu>
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    <catValu>162</catValu>
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    <catValu>163</catValu>
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    <catValu>164</catValu>
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    <catValu>165</catValu>
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    <catValu>166</catValu>
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    <catValu>167</catValu>
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    <catValu>168</catValu>
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    <catValu>169</catValu>
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    <catValu>170</catValu>
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    <catValu>171</catValu>
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    <catValu>172</catValu>
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    <catValu>173</catValu>
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    <catValu>174</catValu>
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    <catValu>175</catValu>
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    <catValu>176</catValu>
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    <catValu>177</catValu>
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    <catValu>178</catValu>
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    <catValu>179</catValu>
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    <catValu>180</catValu>
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    <catValu>181</catValu>
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    <catValu>182</catValu>
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    <catValu>183</catValu>
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    <catValu>184</catValu>
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    <catValu>185</catValu>
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    <catValu>186</catValu>
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    <catValu>187</catValu>
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  <catgry>
    <catValu>188</catValu>
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    <catValu>189</catValu>
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    <catValu>190</catValu>
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  <catgry>
    <catValu>191</catValu>
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    <catValu>192</catValu>
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    <catValu>193</catValu>
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    <catValu>194</catValu>
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    <catValu>195</catValu>
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    <catValu>196</catValu>
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    <catValu>197</catValu>
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    <catValu>198</catValu>
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    <catValu>199</catValu>
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    <catValu>200</catValu>
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  <catgry>
    <catValu>201</catValu>
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    <catValu>202</catValu>
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  <catgry>
    <catValu>203</catValu>
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  <catgry>
    <catValu>204</catValu>
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  <catgry>
    <catValu>205</catValu>
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  <catgry>
    <catValu>206</catValu>
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    <catValu>207</catValu>
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  <catgry>
    <catValu>208</catValu>
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  <catgry>
    <catValu>209</catValu>
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  <catgry>
    <catValu>210</catValu>
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  <catgry>
    <catValu>211</catValu>
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    <catValu>212</catValu>
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    <catValu>213</catValu>
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  <catgry>
    <catValu>214</catValu>
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    <catValu>215</catValu>
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    <catValu>216</catValu>
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  <catgry>
    <catValu>217</catValu>
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  <catgry>
    <catValu>218</catValu>
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  <catgry>
    <catValu>219</catValu>
    <labl>219</labl>
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  <catgry>
    <catValu>220</catValu>
    <labl>220</labl>
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  <catgry>
    <catValu>221</catValu>
    <labl>221</labl>
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  <catgry>
    <catValu>222</catValu>
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  <catgry>
    <catValu>223</catValu>
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  <catgry>
    <catValu>224</catValu>
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  <catgry>
    <catValu>225</catValu>
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  <catgry>
    <catValu>226</catValu>
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  <catgry>
    <catValu>227</catValu>
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  <catgry>
    <catValu>228</catValu>
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  <catgry>
    <catValu>229</catValu>
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  <catgry>
    <catValu>230</catValu>
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    <catValu>231</catValu>
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  <catgry>
    <catValu>232</catValu>
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  <catgry>
    <catValu>233</catValu>
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    <catValu>234</catValu>
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  <catgry>
    <catValu>235</catValu>
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  <catgry>
    <catValu>236</catValu>
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    <catValu>237</catValu>
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  <catgry>
    <catValu>238</catValu>
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  <catgry>
    <catValu>239</catValu>
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  <catgry>
    <catValu>240</catValu>
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  <catgry>
    <catValu>241</catValu>
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    <catValu>242</catValu>
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    <catValu>243</catValu>
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  <catgry>
    <catValu>244</catValu>
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  <catgry>
    <catValu>245</catValu>
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  <catgry>
    <catValu>246</catValu>
    <labl>246</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>247</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>248</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>249</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>250</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>251</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>252</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>253</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>254</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>255</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>256</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>257</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>258</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>259</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>260</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>261</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>262</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>263</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>264</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>265</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>266</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>267</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>268</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>269</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>270</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>271</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>272</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>273</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>274</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>275</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>276</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>277</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>278</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>279</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>280</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>281</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>282</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>283</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>284</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>285</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>286</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>287</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>288</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>289</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>290</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>291</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>292</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>293</labl>
  </catgry>
  <catgry>
    <catValu>294</catValu>
    <labl>294</labl>
  </catgry>
  <catgry>
    <catValu>295</catValu>
    <labl>295</labl>
  </catgry>
  <catgry>
    <catValu>296</catValu>
    <labl>296</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>297</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>298</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>299</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>300</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>301</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>302</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>303</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>304</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>305</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>306</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>307</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>308</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>309</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>310</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>311</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>312</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>313</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>314</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>315</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>316</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>317</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>318</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>319</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>320</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>321</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>322</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>323</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>324</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>325</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>326</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>327</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>328</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>329</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>330</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>331</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>332</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>333</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>334</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>335</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>336</labl>
  </catgry>
  <catgry>
    <catValu>337</catValu>
    <labl>337</labl>
  </catgry>
  <catgry>
    <catValu>338</catValu>
    <labl>338</labl>
  </catgry>
  <catgry>
    <catValu>339</catValu>
    <labl>339</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>340</labl>
  </catgry>
  <catgry>
    <catValu>341</catValu>
    <labl>341</labl>
  </catgry>
  <catgry>
    <catValu>342</catValu>
    <labl>342</labl>
  </catgry>
  <catgry>
    <catValu>343</catValu>
    <labl>343</labl>
  </catgry>
  <catgry>
    <catValu>344</catValu>
    <labl>344</labl>
  </catgry>
  <catgry>
    <catValu>345</catValu>
    <labl>345</labl>
  </catgry>
  <catgry>
    <catValu>346</catValu>
    <labl>346</labl>
  </catgry>
  <catgry>
    <catValu>347</catValu>
    <labl>347</labl>
  </catgry>
  <catgry>
    <catValu>348</catValu>
    <labl>348</labl>
  </catgry>
  <catgry>
    <catValu>349</catValu>
    <labl>349</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>350</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>351</labl>
  </catgry>
  <catgry>
    <catValu>352</catValu>
    <labl>352</labl>
  </catgry>
  <catgry>
    <catValu>353</catValu>
    <labl>353</labl>
  </catgry>
  <catgry>
    <catValu>354</catValu>
    <labl>354</labl>
  </catgry>
  <catgry>
    <catValu>355</catValu>
    <labl>355</labl>
  </catgry>
  <catgry>
    <catValu>356</catValu>
    <labl>356</labl>
  </catgry>
  <catgry>
    <catValu>357</catValu>
    <labl>357</labl>
  </catgry>
  <catgry>
    <catValu>358</catValu>
    <labl>358</labl>
  </catgry>
  <catgry>
    <catValu>359</catValu>
    <labl>359</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>360+</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>One day or longer</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>On premises</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TIMETOWTRIND (V115) reports the amount of time, in minutes, to get to the household's major source of water, top-coded at 360+ minutes. This information is taken from the individual woman's record.

The complementary variable TIMETOWTRHH (HV204) reports the same information, taken from the household record.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TIMETOWTRHH" name="B_TIMETOWTRHH" files="B" intrvl="discrete">
  <labl>Time to reach water source and return, in minutes (from HH record)</labl>
  <imputation>Time to reach water source and return, in minutes (from HH record)</imputation>
  <security>Time to reach water source and return, in minutes (from HH record)</security>
  <embargo>Time to reach water source and return, in minutes (from HH record)</embargo>
  <respUnit>Time to reach water source and return, in minutes (from HH record)</respUnit>
  <qstn>
    <qstnLit>19) How much time does it take to go there, get water, and come back?

MINUTES: ___
ON LOCATION 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
  </catgry>
  <catgry>
    <catValu>001</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>002</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>003</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>004</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>005</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>006</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>007</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>008</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>009</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>010</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>011</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>012</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>013</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>014</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>015</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>016</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>017</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>018</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>019</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>020</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>021</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>022</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>023</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>024</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>025</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>026</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>027</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>028</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>029</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>030</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>031</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>032</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>033</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>034</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>035</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>036</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>037</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>038</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>039</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>040</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>041</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>042</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>043</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>044</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>045</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>046</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>047</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>048</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>049</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>050</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>051</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>052</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>053</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>054</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>055</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>056</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>057</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>058</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>059</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>060</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>061</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>062</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>063</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>064</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>065</catValu>
    <labl>65</labl>
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  <catgry>
    <catValu>066</catValu>
    <labl>66</labl>
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  <catgry>
    <catValu>067</catValu>
    <labl>67</labl>
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  <catgry>
    <catValu>068</catValu>
    <labl>68</labl>
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  <catgry>
    <catValu>069</catValu>
    <labl>69</labl>
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  <catgry>
    <catValu>070</catValu>
    <labl>70</labl>
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  <catgry>
    <catValu>071</catValu>
    <labl>71</labl>
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  <catgry>
    <catValu>072</catValu>
    <labl>72</labl>
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  <catgry>
    <catValu>073</catValu>
    <labl>73</labl>
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  <catgry>
    <catValu>074</catValu>
    <labl>74</labl>
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  <catgry>
    <catValu>075</catValu>
    <labl>75</labl>
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  <catgry>
    <catValu>076</catValu>
    <labl>76</labl>
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  <catgry>
    <catValu>077</catValu>
    <labl>77</labl>
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  <catgry>
    <catValu>078</catValu>
    <labl>78</labl>
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  <catgry>
    <catValu>079</catValu>
    <labl>79</labl>
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  <catgry>
    <catValu>080</catValu>
    <labl>80</labl>
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  <catgry>
    <catValu>081</catValu>
    <labl>81</labl>
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  <catgry>
    <catValu>082</catValu>
    <labl>82</labl>
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  <catgry>
    <catValu>083</catValu>
    <labl>83</labl>
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  <catgry>
    <catValu>084</catValu>
    <labl>84</labl>
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  <catgry>
    <catValu>085</catValu>
    <labl>85</labl>
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  <catgry>
    <catValu>086</catValu>
    <labl>86</labl>
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  <catgry>
    <catValu>087</catValu>
    <labl>87</labl>
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  <catgry>
    <catValu>088</catValu>
    <labl>88</labl>
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  <catgry>
    <catValu>089</catValu>
    <labl>89</labl>
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  <catgry>
    <catValu>090</catValu>
    <labl>90</labl>
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  <catgry>
    <catValu>091</catValu>
    <labl>91</labl>
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  <catgry>
    <catValu>092</catValu>
    <labl>92</labl>
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  <catgry>
    <catValu>093</catValu>
    <labl>93</labl>
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  <catgry>
    <catValu>094</catValu>
    <labl>94</labl>
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  <catgry>
    <catValu>095</catValu>
    <labl>95</labl>
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  <catgry>
    <catValu>096</catValu>
    <labl>96</labl>
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  <catgry>
    <catValu>097</catValu>
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  <catgry>
    <catValu>098</catValu>
    <labl>98</labl>
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  <catgry>
    <catValu>099</catValu>
    <labl>99</labl>
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  <catgry>
    <catValu>100</catValu>
    <labl>100</labl>
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  <catgry>
    <catValu>101</catValu>
    <labl>101</labl>
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  <catgry>
    <catValu>102</catValu>
    <labl>102</labl>
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  <catgry>
    <catValu>103</catValu>
    <labl>103</labl>
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  <catgry>
    <catValu>104</catValu>
    <labl>104</labl>
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  <catgry>
    <catValu>105</catValu>
    <labl>105</labl>
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  <catgry>
    <catValu>106</catValu>
    <labl>106</labl>
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  <catgry>
    <catValu>107</catValu>
    <labl>107</labl>
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  <catgry>
    <catValu>108</catValu>
    <labl>108</labl>
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  <catgry>
    <catValu>109</catValu>
    <labl>109</labl>
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  <catgry>
    <catValu>110</catValu>
    <labl>110</labl>
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  <catgry>
    <catValu>111</catValu>
    <labl>111</labl>
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  <catgry>
    <catValu>112</catValu>
    <labl>112</labl>
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  <catgry>
    <catValu>113</catValu>
    <labl>113</labl>
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  <catgry>
    <catValu>114</catValu>
    <labl>114</labl>
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  <catgry>
    <catValu>115</catValu>
    <labl>115</labl>
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  <catgry>
    <catValu>116</catValu>
    <labl>116</labl>
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  <catgry>
    <catValu>117</catValu>
    <labl>117</labl>
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  <catgry>
    <catValu>118</catValu>
    <labl>118</labl>
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  <catgry>
    <catValu>119</catValu>
    <labl>119</labl>
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  <catgry>
    <catValu>120</catValu>
    <labl>120</labl>
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  <catgry>
    <catValu>121</catValu>
    <labl>121</labl>
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  <catgry>
    <catValu>122</catValu>
    <labl>122</labl>
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  <catgry>
    <catValu>123</catValu>
    <labl>123</labl>
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  <catgry>
    <catValu>124</catValu>
    <labl>124</labl>
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  <catgry>
    <catValu>125</catValu>
    <labl>125</labl>
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  <catgry>
    <catValu>126</catValu>
    <labl>126</labl>
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  <catgry>
    <catValu>127</catValu>
    <labl>127</labl>
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  <catgry>
    <catValu>128</catValu>
    <labl>128</labl>
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  <catgry>
    <catValu>129</catValu>
    <labl>129</labl>
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  <catgry>
    <catValu>130</catValu>
    <labl>130</labl>
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  <catgry>
    <catValu>131</catValu>
    <labl>131</labl>
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  <catgry>
    <catValu>132</catValu>
    <labl>132</labl>
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  <catgry>
    <catValu>133</catValu>
    <labl>133</labl>
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  <catgry>
    <catValu>134</catValu>
    <labl>134</labl>
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  <catgry>
    <catValu>135</catValu>
    <labl>135</labl>
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  <catgry>
    <catValu>136</catValu>
    <labl>136</labl>
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  <catgry>
    <catValu>137</catValu>
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  <catgry>
    <catValu>138</catValu>
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  <catgry>
    <catValu>139</catValu>
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  <catgry>
    <catValu>140</catValu>
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  <catgry>
    <catValu>141</catValu>
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  <catgry>
    <catValu>142</catValu>
    <labl>142</labl>
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    <catValu>143</catValu>
    <labl>143</labl>
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  <catgry>
    <catValu>144</catValu>
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  <catgry>
    <catValu>145</catValu>
    <labl>145</labl>
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  <catgry>
    <catValu>146</catValu>
    <labl>146</labl>
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  <catgry>
    <catValu>147</catValu>
    <labl>147</labl>
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    <catValu>148</catValu>
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  <catgry>
    <catValu>149</catValu>
    <labl>149</labl>
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  <catgry>
    <catValu>150</catValu>
    <labl>150</labl>
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    <catValu>151</catValu>
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  <catgry>
    <catValu>152</catValu>
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    <catValu>153</catValu>
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  <catgry>
    <catValu>154</catValu>
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  <catgry>
    <catValu>155</catValu>
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  <catgry>
    <catValu>156</catValu>
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  <catgry>
    <catValu>157</catValu>
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  <catgry>
    <catValu>158</catValu>
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  <catgry>
    <catValu>159</catValu>
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    <catValu>160</catValu>
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    <catValu>161</catValu>
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    <catValu>162</catValu>
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  <catgry>
    <catValu>163</catValu>
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  <catgry>
    <catValu>164</catValu>
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  <catgry>
    <catValu>165</catValu>
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  <catgry>
    <catValu>166</catValu>
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  <catgry>
    <catValu>167</catValu>
    <labl>167</labl>
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  <catgry>
    <catValu>168</catValu>
    <labl>168</labl>
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  <catgry>
    <catValu>169</catValu>
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    <catValu>170</catValu>
    <labl>170</labl>
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  <catgry>
    <catValu>171</catValu>
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    <catValu>172</catValu>
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    <catValu>173</catValu>
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    <catValu>174</catValu>
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    <catValu>175</catValu>
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  <catgry>
    <catValu>176</catValu>
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    <catValu>177</catValu>
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  <catgry>
    <catValu>178</catValu>
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  <catgry>
    <catValu>179</catValu>
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  <catgry>
    <catValu>180</catValu>
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  <catgry>
    <catValu>181</catValu>
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  <catgry>
    <catValu>182</catValu>
    <labl>182</labl>
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  <catgry>
    <catValu>183</catValu>
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    <catValu>184</catValu>
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  <catgry>
    <catValu>185</catValu>
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  <catgry>
    <catValu>186</catValu>
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  <catgry>
    <catValu>187</catValu>
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  <catgry>
    <catValu>188</catValu>
    <labl>188</labl>
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  <catgry>
    <catValu>189</catValu>
    <labl>189</labl>
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  <catgry>
    <catValu>190</catValu>
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  <catgry>
    <catValu>191</catValu>
    <labl>191</labl>
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    <catValu>192</catValu>
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    <catValu>193</catValu>
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    <catValu>194</catValu>
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    <catValu>195</catValu>
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    <catValu>196</catValu>
    <labl>196</labl>
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  <catgry>
    <catValu>197</catValu>
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    <catValu>198</catValu>
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    <catValu>199</catValu>
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  <catgry>
    <catValu>200</catValu>
    <labl>200</labl>
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  <catgry>
    <catValu>201</catValu>
    <labl>201</labl>
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  <catgry>
    <catValu>202</catValu>
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  <catgry>
    <catValu>203</catValu>
    <labl>203</labl>
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  <catgry>
    <catValu>204</catValu>
    <labl>204</labl>
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  <catgry>
    <catValu>205</catValu>
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  <catgry>
    <catValu>206</catValu>
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    <catValu>207</catValu>
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  <catgry>
    <catValu>208</catValu>
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  <catgry>
    <catValu>209</catValu>
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  <catgry>
    <catValu>210</catValu>
    <labl>210</labl>
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  <catgry>
    <catValu>211</catValu>
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    <catValu>212</catValu>
    <labl>212</labl>
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    <catValu>213</catValu>
    <labl>213</labl>
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  <catgry>
    <catValu>214</catValu>
    <labl>214</labl>
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  <catgry>
    <catValu>215</catValu>
    <labl>215</labl>
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  <catgry>
    <catValu>216</catValu>
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  <catgry>
    <catValu>217</catValu>
    <labl>217</labl>
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  <catgry>
    <catValu>218</catValu>
    <labl>218</labl>
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  <catgry>
    <catValu>219</catValu>
    <labl>219</labl>
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  <catgry>
    <catValu>220</catValu>
    <labl>220</labl>
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  <catgry>
    <catValu>221</catValu>
    <labl>221</labl>
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  <catgry>
    <catValu>222</catValu>
    <labl>222</labl>
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  <catgry>
    <catValu>223</catValu>
    <labl>223</labl>
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  <catgry>
    <catValu>224</catValu>
    <labl>224</labl>
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  <catgry>
    <catValu>225</catValu>
    <labl>225</labl>
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  <catgry>
    <catValu>226</catValu>
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  <catgry>
    <catValu>227</catValu>
    <labl>227</labl>
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  <catgry>
    <catValu>228</catValu>
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  <catgry>
    <catValu>229</catValu>
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  <catgry>
    <catValu>230</catValu>
    <labl>230</labl>
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  <catgry>
    <catValu>231</catValu>
    <labl>231</labl>
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  <catgry>
    <catValu>232</catValu>
    <labl>232</labl>
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  <catgry>
    <catValu>233</catValu>
    <labl>233</labl>
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  <catgry>
    <catValu>234</catValu>
    <labl>234</labl>
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  <catgry>
    <catValu>235</catValu>
    <labl>235</labl>
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  <catgry>
    <catValu>236</catValu>
    <labl>236</labl>
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  <catgry>
    <catValu>237</catValu>
    <labl>237</labl>
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  <catgry>
    <catValu>238</catValu>
    <labl>238</labl>
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  <catgry>
    <catValu>239</catValu>
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  <catgry>
    <catValu>240</catValu>
    <labl>240</labl>
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  <catgry>
    <catValu>241</catValu>
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  <catgry>
    <catValu>242</catValu>
    <labl>242</labl>
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  <catgry>
    <catValu>243</catValu>
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  <catgry>
    <catValu>244</catValu>
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  <catgry>
    <catValu>245</catValu>
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  <catgry>
    <catValu>246</catValu>
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  <catgry>
    <catValu>247</catValu>
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  <catgry>
    <catValu>248</catValu>
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  <catgry>
    <catValu>249</catValu>
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  <catgry>
    <catValu>250</catValu>
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  <catgry>
    <catValu>251</catValu>
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  <catgry>
    <catValu>252</catValu>
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  <catgry>
    <catValu>253</catValu>
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  <catgry>
    <catValu>254</catValu>
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  <catgry>
    <catValu>255</catValu>
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  <catgry>
    <catValu>256</catValu>
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    <catValu>257</catValu>
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  <catgry>
    <catValu>258</catValu>
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  <catgry>
    <catValu>259</catValu>
    <labl>259</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>260</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>261</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>262</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>263</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>264</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>265</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>266</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>267</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>268</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>269</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>270</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>271</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>272</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>273</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>274</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>275</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>276</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>277</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>278</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>279</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>280</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>281</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>282</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>283</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>284</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>285</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>286</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>287</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>288</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>289</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>290</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>291</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>292</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>293</labl>
  </catgry>
  <catgry>
    <catValu>294</catValu>
    <labl>294</labl>
  </catgry>
  <catgry>
    <catValu>295</catValu>
    <labl>295</labl>
  </catgry>
  <catgry>
    <catValu>296</catValu>
    <labl>296</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>297</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>298</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>299</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>300</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>301</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>302</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>303</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>304</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>305</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>306</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>307</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>308</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>309</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>310</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>311</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>312</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>313</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>314</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>315</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>316</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>317</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>318</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>319</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>320</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>321</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>322</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>323</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>324</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>325</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>326</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>327</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>328</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>329</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>330</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>331</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>332</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>333</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>334</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>335</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>336</labl>
  </catgry>
  <catgry>
    <catValu>337</catValu>
    <labl>337</labl>
  </catgry>
  <catgry>
    <catValu>338</catValu>
    <labl>338</labl>
  </catgry>
  <catgry>
    <catValu>339</catValu>
    <labl>339</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>340</labl>
  </catgry>
  <catgry>
    <catValu>341</catValu>
    <labl>341</labl>
  </catgry>
  <catgry>
    <catValu>342</catValu>
    <labl>342</labl>
  </catgry>
  <catgry>
    <catValu>343</catValu>
    <labl>343</labl>
  </catgry>
  <catgry>
    <catValu>344</catValu>
    <labl>344</labl>
  </catgry>
  <catgry>
    <catValu>345</catValu>
    <labl>345</labl>
  </catgry>
  <catgry>
    <catValu>346</catValu>
    <labl>346</labl>
  </catgry>
  <catgry>
    <catValu>347</catValu>
    <labl>347</labl>
  </catgry>
  <catgry>
    <catValu>348</catValu>
    <labl>348</labl>
  </catgry>
  <catgry>
    <catValu>349</catValu>
    <labl>349</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>350</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>351</labl>
  </catgry>
  <catgry>
    <catValu>352</catValu>
    <labl>352</labl>
  </catgry>
  <catgry>
    <catValu>353</catValu>
    <labl>353</labl>
  </catgry>
  <catgry>
    <catValu>354</catValu>
    <labl>354</labl>
  </catgry>
  <catgry>
    <catValu>355</catValu>
    <labl>355</labl>
  </catgry>
  <catgry>
    <catValu>356</catValu>
    <labl>356</labl>
  </catgry>
  <catgry>
    <catValu>357</catValu>
    <labl>357</labl>
  </catgry>
  <catgry>
    <catValu>358</catValu>
    <labl>358</labl>
  </catgry>
  <catgry>
    <catValu>359</catValu>
    <labl>359</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>360+</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>On premises</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TIMETOWTRHH (HV204) reports the time in minutes it takes members of the household to get to their main source of water and return to their dwelling.  In IPUMS-DHS, this variable is top-coded at 360 minutes or more (6 hours or longer).

The information in TIMETOWTRHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BIKE" name="B_BIKE" files="B" intrvl="discrete">
  <labl>HH has bicycle</labl>
  <imputation>HH has bicycle</imputation>
  <security>HH has bicycle</security>
  <embargo>HH has bicycle</embargo>
  <respUnit>HH has bicycle</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>BIKE (V123) indicates whether any member of the household has a bicycle.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BIKEHH" name="B_BIKEHH" files="B" intrvl="discrete">
  <labl>HH has bicycle (from HH record)</labl>
  <imputation>HH has bicycle (from HH record)</imputation>
  <security>HH has bicycle (from HH record)</security>
  <embargo>HH has bicycle (from HH record)</embargo>
  <respUnit>HH has bicycle (from HH record)</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIKEHH (HV210) indicates whether any member of the household has a bicycle. 

The information in BIKEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_CAR" name="B_CAR" files="B" intrvl="discrete">
  <labl>HH has car/truck</labl>
  <imputation>HH has car/truck</imputation>
  <security>HH has car/truck</security>
  <embargo>HH has car/truck</embargo>
  <respUnit>HH has car/truck</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <txt>CAR (V125) indicates whether any member of the household owns a car or truck (or other motor vehicle). The specific type of motor vehicle mentioned varies across samples. See Comparability.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_CARHH" name="B_CARHH" files="B" intrvl="discrete">
  <labl>HH has car/truck (from HH record)</labl>
  <imputation>HH has car/truck (from HH record)</imputation>
  <security>HH has car/truck (from HH record)</security>
  <embargo>HH has car/truck (from HH record)</embargo>
  <respUnit>HH has car/truck (from HH record)</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>CARHH (HV212) indicates whether any member of the household owns a car or truck (or other motor vehicle). The specific type of motor vehicle mentioned varies across samples. See Comparability. 

The information in CARHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_MOTORCYCL" name="B_MOTORCYCL" files="B" intrvl="discrete">
  <labl>HH has motorcycle/scooter</labl>
  <imputation>HH has motorcycle/scooter</imputation>
  <security>HH has motorcycle/scooter</security>
  <embargo>HH has motorcycle/scooter</embargo>
  <respUnit>HH has motorcycle/scooter</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <txt>MOTORCYCL (V124) indicates whether any member of the household owns a motorcycle or scooter.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_MOTORCYCLHH" name="B_MOTORCYCLHH" files="B" intrvl="discrete">
  <labl>HH has motorcycle/scooter (from HH record)</labl>
  <imputation>HH has motorcycle/scooter (from HH record)</imputation>
  <security>HH has motorcycle/scooter (from HH record)</security>
  <embargo>HH has motorcycle/scooter (from HH record)</embargo>
  <respUnit>HH has motorcycle/scooter (from HH record)</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>MOTORCYCLHH (HV211) indicates whether any member of the household owns a motorcycle or scooter.

The information in MOTORCYCLHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FRIDGE" name="B_FRIDGE" files="B" intrvl="discrete">
  <labl>HH has refrigerator</labl>
  <imputation>HH has refrigerator</imputation>
  <security>HH has refrigerator</security>
  <embargo>HH has refrigerator</embargo>
  <respUnit>HH has refrigerator</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <txt>FRIDGE (V122) indicates whether the household has a refrigerator. Some samples specified that the refrigerator must be working or must be owned by the household. See comparability.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FRIDGEHH" name="B_FRIDGEHH" files="B" intrvl="discrete">
  <labl>HH has refrigerator (from HH record)</labl>
  <imputation>HH has refrigerator (from HH record)</imputation>
  <security>HH has refrigerator (from HH record)</security>
  <embargo>HH has refrigerator (from HH record)</embargo>
  <respUnit>HH has refrigerator (from HH record)</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FRIDGEHH (HV209) indicates whether the household has a refrigerator. Some samples specified that the refrigerator must be working or owned by the household. See Comparability.

The information in FRIDGEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_RADIO" name="B_RADIO" files="B" intrvl="discrete">
  <labl>HH has radio</labl>
  <imputation>HH has radio</imputation>
  <security>HH has radio</security>
  <embargo>HH has radio</embargo>
  <respUnit>HH has radio</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <txt>RADIO (V120) indicates whether the household has a radio. Some samples specified that the radio must be working or fit other specifications. See Comparability.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_RADIOHH" name="B_RADIOHH" files="B" intrvl="discrete">
  <labl>HH has radio (from HH record)</labl>
  <imputation>HH has radio (from HH record)</imputation>
  <security>HH has radio (from HH record)</security>
  <embargo>HH has radio (from HH record)</embargo>
  <respUnit>HH has radio (from HH record)</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>RADIOHH (HV207) indicates whether any member of the household owns a radio. Some samples specified that the radio must be working or fit other specifications. See Comparability.

The information in RADIOHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TELEVISION" name="B_TELEVISION" files="B" intrvl="discrete">
  <labl>HH has television</labl>
  <imputation>HH has television</imputation>
  <security>HH has television</security>
  <embargo>HH has television</embargo>
  <respUnit>HH has television</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <txt>TELEVISION (V121) indicates whether the household has a television. Some samples specified that the TV must be in working order. See Comparability.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TVHH" name="B_TVHH" files="B" intrvl="discrete">
  <labl>HH has television (from HH record)</labl>
  <imputation>HH has television (from HH record)</imputation>
  <security>HH has television (from HH record)</security>
  <embargo>HH has television (from HH record)</embargo>
  <respUnit>HH has television (from HH record)</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TVHH (HV208) indicates whether any member of the household has a television. Some samples specified that the TV must be in working order. See Comparability.

The information in TVHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_DRAWNCART" name="B_DRAWNCART" files="B" intrvl="discrete">
  <labl>HH has animal-drawn cart</labl>
  <imputation>HH has animal-drawn cart</imputation>
  <security>HH has animal-drawn cart</security>
  <embargo>HH has animal-drawn cart</embargo>
  <respUnit>HH has animal-drawn cart</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>DRAWNCART indicates whether a household member owned an animal-drawn cart. Question wording varied across samples; see Comparability.

The information in DRAWNCART is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Agricultural possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_CURRWORK" name="B_CURRWORK" files="B" intrvl="discrete">
  <labl>Currently working</labl>
  <imputation>Currently working</imputation>
  <security>Currently working</security>
  <embargo>Currently working</embargo>
  <respUnit>Currently working</respUnit>
  <qstn>
    <qstnLit>708) Aside from your own housework, are you currently working?

YES 1 (GO TO 710)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneous</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, prompted</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>CURRWORK (V714) indicates whether the woman is currently working at a job or business.  To distinguish employment from household labor, many surveys included a preface such as the following: "As you know, some women take up jobs for which they are paid in cash or in kind.  Others sell things, have a small business or work on the family farm or in the family business." Women who have worked outside of their own housework in the last 12 months and been paid in cash, cash and in-kind, or only in-kind payments are included as working, although the survey questions vary in who receives an affirmative response. See Comparability.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_WKCURRJOB" name="B_WKCURRJOB" files="B" intrvl="discrete">
  <labl>Woman's occupation</labl>
  <imputation>Woman's occupation</imputation>
  <security>Woman's occupation</security>
  <embargo>Woman's occupation</embargo>
  <respUnit>Woman's occupation</respUnit>
  <qstn>
    <qstnLit>710) What is your main occupation, that is, what kind of work do you do?

____</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Not currently working</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Professional, technical, or managerial worker</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Clerical or Sales</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Clerical worker</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Sales worker</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Agricultural</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Self-employed agricultural worker</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Agricultural employee</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Household, domestic, and services</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Household and domestic worker</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Services worker</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Skilled and unskilled manual</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Skilled manual worker</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Unskilled manual worker</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Armed forces</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>WKCURRJOB (V717) reports the occupation of the respondent in somewhat standardized categories. The categories included, and the degree of detail within broad categories (e.g., self-employed versus employee in agriculture, or simply agriculture), vary across samples. IPUMS-DHS employs composite coding to maximize comparability across samples (using the first digit of the codes to indicate broad job categories) without loss of detailed information (preserved in the second digit).

The category "agriculture" includes fishermen, foresters, breeders, and hunters as well as farmers.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_WKCURRTYPE" name="B_WKCURRTYPE" files="B" intrvl="discrete">
  <labl>Respondent's current type of employment.</labl>
  <imputation>Respondent's current type of employment.</imputation>
  <security>Respondent's current type of employment.</security>
  <embargo>Respondent's current type of employment.</embargo>
  <respUnit>Respondent's current type of employment.</respUnit>
  <qstn>
    <qstnLit>711) In your work, do you work for a family member, for someone else, or are you self-employed?

FOR FAMILY MEMBER 1
FOR SOMEONE ELSE 2
SELF-EMPLOYED 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <labl>Did not work</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Paid employee, away</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Paid employee, home</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Self-employed, away</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Self-employed, home</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Unpaid worker, away</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Unpaid worker, home</labl>
  </catgry>
  <txt>WKCURRTYPE (V718) indicates the woman's current type of employment, along the two dimensions of class of worker (paid, self-employed, unpaid) and location (at home or away).</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_WHOWORKFOR" name="B_WHOWORKFOR" files="B" intrvl="discrete">
  <labl>Whom the respondent works for</labl>
  <imputation>Whom the respondent works for</imputation>
  <security>Whom the respondent works for</security>
  <embargo>Whom the respondent works for</embargo>
  <respUnit>Whom the respondent works for</respUnit>
  <qstn>
    <qstnLit>711) In your work, do you work for a family member, for someone else, or are you self-employed?

FOR FAMILY MEMBER 1
FOR SOMEONE ELSE 2
SELF-EMPLOYED 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>24</catValu>
    <labl>For someone else</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>For someone else (unpaid)</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Works for self</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Self-employed</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Employer</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Works for someone else</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>For family member (unpaid)</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>For family member</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Works for self and someone else</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Other</labl>
  </catgry>
  <txt>WHOWORKFOR (V719) indicates whether the respondent works for a family member, for someone else, or is self-employed.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_WKEARNCASH" name="B_WKEARNCASH" files="B" intrvl="discrete">
  <labl>Woman earns cash for work</labl>
  <imputation>Woman earns cash for work</imputation>
  <security>Woman earns cash for work</security>
  <embargo>Woman earns cash for work</embargo>
  <respUnit>Woman earns cash for work</respUnit>
  <qstn>
    <qstnLit>712) Do you earn money for this work?
PROBE: Do you make money for working?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>WKEARNCASH (V720) indicates whether the woman earns cash for her work.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_WKHOMEAWAY" name="B_WKHOMEAWAY" files="B" intrvl="discrete">
  <labl>Woman works at home or away from home</labl>
  <imputation>Woman works at home or away from home</imputation>
  <security>Woman works at home or away from home</security>
  <embargo>Woman works at home or away from home</embargo>
  <respUnit>Woman works at home or away from home</respUnit>
  <qstn>
    <qstnLit>713) Do you do this work at home or away from home?

HOME 1
AWAY 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>At home</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Away</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>WKHOMEAWAY (V721) indicates whether the respondent currently works at home or away from home.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_WKKIDWITH" name="B_WKKIDWITH" files="B" intrvl="discrete">
  <labl>Child with woman while working</labl>
  <imputation>Child with woman while working</imputation>
  <security>Child with woman while working</security>
  <embargo>Child with woman while working</embargo>
  <respUnit>Child with woman while working</respUnit>
  <qstn>
    <qstnLit>715) While you are working, do you usually have (NAME OF YOUNGEST CHILD AT HOME) with you, sometimes with you, or never with you?

USUALLY 1 (GO TO 801)
SOMETIMES 2
NEVER 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Child usually with respondent</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Child sometimes with respondent</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Child rarely with respondent</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Child never with respondent</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are currently working and who have a young child living at home, WKKIDWITH (V722) reports how often the woman has her child with her while she is working.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_WKKIDCARE" name="B_WKKIDCARE" files="B" intrvl="discrete">
  <labl>Who cares for youngest child while woman works</labl>
  <imputation>Who cares for youngest child while woman works</imputation>
  <security>Who cares for youngest child while woman works</security>
  <embargo>Who cares for youngest child while woman works</embargo>
  <respUnit>Who cares for youngest child while woman works</respUnit>
  <qstn>
    <qstnLit>716) Who usually takes care of (NAME OF YOUNGEST CHILD AT HOME) while you are working?

HUSBAND/PARTNER 01
OLDER CHILD(REN) 02
OTHER RELATIVES 03
NEIGHBORS 04
FRIENDS 05
SERVANT/HIRED HELP 06
CHILD IS IN SCHOOL 07
INSTITUTIONAL CHILDCARE 08
OTHER (SPECIFY): ___ 09</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Respondent</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Husband /partner</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Other child</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Other relatives</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Neighbors</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Friends</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Servants /hired help</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Child is in school</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Institutional care</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Child's grandparents</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Other female child</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Other male child</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not worked since birth</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>For women who are currently working and who have a young child living at home, WKKIDCARE (V723) reports who usually cares for the youngest child while the woman is working.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_HUSJOB" name="B_HUSJOB" files="B" intrvl="discrete">
  <labl>Partner's occupation</labl>
  <imputation>Partner's occupation</imputation>
  <security>Partner's occupation</security>
  <embargo>Partner's occupation</embargo>
  <respUnit>Partner's occupation</respUnit>
  <qstn>
    <qstnLit>705) What kind of work does (did) your (last) husband mainly do?

____</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Did not work</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Not working, student or applicant</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Unemployed</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Student</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Prof., Tech., Manag.</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Clerical or Sales</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Clerical</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Sales</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Agricultural, breeding, fishing, forest</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Agriculture, self-employed</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Agriculture, employee</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Household, domestic, and services</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Household and domestic</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Services</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Skilled and unskilled manual</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Skilled manual</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>Unskilled manual</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>Army</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>HUSJOB (V705) reports the occupation of the woman's husband/partner in somewhat standardized categories.  The categories included, and the degree of detail within broad categories (e.g., self-employed versus employee in agriculture, or simply agriculture), vary across samples.  IPUMS-DHS employs composite coding to maximize comparability across samples (using the first digit of the codes to indicate broader job categories) without loss of detailed information (preserved in the second digit).  

The category "agriculture" includes fishermen, foresters, breeders, and hunters as well as farmers.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_WKHUSLAND" name="B_WKHUSLAND" files="B" intrvl="discrete">
  <labl>Type of land where partner works</labl>
  <imputation>Type of land where partner works</imputation>
  <security>Type of land where partner works</security>
  <embargo>Type of land where partner works</embargo>
  <respUnit>Type of land where partner works</respUnit>
  <qstn>
    <qstnLit>707) (Does/did) your husband/partner work mainly on his own land or family land or someone else's land?

HIS/FAMILY LAND 1
RENTED LAND 2
SOMEONE ELSE'S LAND 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Own/family land</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Own land</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Family land</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Someone else's land</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Rented land</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Other responses</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Public land/govt allocation</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Communal land/shifting cultivation</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Sharecropper</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>Other, unspecified</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are currently married and whose husband or partner works in agriculture, WKHUSLAND (V707) reports the type of land where he works.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_LIT1" name="B_LIT1" files="B" intrvl="discrete">
  <labl>Reported literacy</labl>
  <imputation>Reported literacy</imputation>
  <security>Reported literacy</security>
  <embargo>Reported literacy</embargo>
  <respUnit>Reported literacy</respUnit>
  <qstn>
    <qstnLit>111) Do you know how to read and understand a letter or a newspaper easily, with difficulty, or not at all?

EASILY 1
WITH DIFFICULTY 2
NOT AT ALL 3 (GO TO 113)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Cannot read</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Reads</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Reads with difficulty</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Reads easily</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>LIT1 (V108) indicates whether the woman could read. This information was obtained in response to the question, "Can you read a letter or newspaper easily, with difficulty, or not at all?" In many countries, persons with secondary or higher levels of schooling were presumed to "read easily," but coding criteria varied across countries. Simply asking women whether and how easily they could read was the approach used to determine literacy in DHS Phases 1-3.

Beginning in Phase 4, a different approach was employed to determine literacy. See LIT2 (V155) for details about that second approach, which involved having the respondent read a sentence aloud. See LITBRIG for information about using the data on literacy across all phases of the DHS.</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_LITBRIG" name="B_LITBRIG" files="B" intrvl="discrete">
  <labl>Literacy bridging variable</labl>
  <imputation>Literacy bridging variable</imputation>
  <security>Literacy bridging variable</security>
  <embargo>Literacy bridging variable</embargo>
  <respUnit>Literacy bridging variable</respUnit>
  <qstn>
    <qstnLit>111) Do you know how to read and understand a letter or a newspaper easily, with difficulty, or not at all?

EASILY 1
WITH DIFFICULTY 2
NOT AT ALL 3 (GO TO 113)</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, reads</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Reads easily/whole sentence</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Reads with difficulty/part of sentence</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>No, cannot read</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Not ascertained (blind or diff. language)</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>No card with required language</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Blind or visually impaired</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>LITBRIG serves as a bridging variable between two approaches to collecting information on literacy.  Initially, respondents were asked, "Can you read a letter or newspaper easily, with difficulty, or not at all?"  In many countries, persons with secondary or higher levels of schooling were presumed to "read easily," but coding criteria varied across countries. 

Beginning with Phase 4 of the DHS, persons with less than secondary school education were asked to demonstrate their literacy level by reading aloud a sentence on a card and were classified as "cannot read at all," "able to read only parts of sentence," and "able to read whole sentence."  As before, those with secondary or higher schooling were presumed to have attained the highest literacy level.       

LITBRIG combines information from the first approach of asking about literacy (in LIT1 [V108]) and the second approach of testing literacy based on reading a sentence aloud (in LIT2 [V155]).  

See Comparability for more information.</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_EDUCLVL" name="B_EDUCLVL" files="B" intrvl="discrete">
  <labl>Highest educational level</labl>
  <imputation>Highest educational level</imputation>
  <security>Highest educational level</security>
  <embargo>Highest educational level</embargo>
  <respUnit>Highest educational level</respUnit>
  <qstn>
    <qstnLit>108) What is the highest level of education that you have attained: primary, first cycle of secondary, second cycle of secondary, or higher?

PRIMARY 1
FIRST CYCLE OF SECONDARY 2
SECOND CYCLE OF SECONDARY 3
HIGHER 4</qstnLit>
  </qstn>
  <catgry>
    <labl>No education</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Primary</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Secondary</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Higher</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>For women who ever went to school, EDUCLVL (V106) reports the highest level of school they attended. Countries vary in the gradations of their school systems, but EDUCLVL is a standardized variable reporting level of education in four broad categories: No education, Primary, Secondary, and Higher. 

The DHS recode manuals state, "In some countries the educational system does not fit naturally within this scheme, and a different categorization was used for the Final Report. In this case, this variable is constructed as accurately as possible from the country's own scheme, and the variable used for the Final Report is included as a country-specific variable."</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_YRSCHL" name="B_YRSCHL" files="B" intrvl="discrete">
  <labl>Highest year of education in level</labl>
  <imputation>Highest year of education in level</imputation>
  <security>Highest year of education in level</security>
  <embargo>Highest year of education in level</embargo>
  <respUnit>Highest year of education in level</respUnit>
  <qstn>
    <qstnLit>109) What was the last grade you completed at this level?

GRADES FOR PRIMARY

INTRODUCTORY COURSE 1
PREPARATORY COURSE 2
ELEMENTARY COURSE 1 3
ELEMENTARY COURSE 2 4
MID-LEVEL COURSE 1 5
MID-LEVEL COURSE 2 6

GRADES FOR SECONDARY, FIRST CYCLE

6TH 1
5TH 2
4TH 3
3RD 4
DON'T KNOW 8

GRADES FOR SECONDARY, SECOND

2ND 1
1ST 2
FINAL YEAR 3
DON'T KNOW 8

GRADES FOR HIGHER LEVEL

FIRST YEAR 1
SECOND YEAR 2
THIRD YEAR 3
FOURTH YEAR AND HIGHER 4
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who ever attended school, YRSCHL (V107) reports the number of years of education completed at the highest level of schooling achieved (primary, secondary, or higher), as reported in EDUCLVL (V106). See Comparability.

For the woman's total years of education, see EDYRTOTAL (V133).</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_EDYRTOTAL" name="B_EDYRTOTAL" files="B" intrvl="discrete">
  <labl>Total years education</labl>
  <imputation>Total years education</imputation>
  <security>Total years education</security>
  <embargo>Total years education</embargo>
  <respUnit>Total years education</respUnit>
  <qstn>
    <qstnLit>109) What was the last grade you completed at this level?

GRADES FOR PRIMARY

INTRODUCTORY COURSE 1
PREPARATORY COURSE 2
ELEMENTARY COURSE 1 3
ELEMENTARY COURSE 2 4
MID-LEVEL COURSE 1 5
MID-LEVEL COURSE 2 6

GRADES FOR SECONDARY, FIRST CYCLE

6TH 1
5TH 2
4TH 3
3RD 4
DON'T KNOW 8

GRADES FOR SECONDARY, SECOND

2ND 1
1ST 2
FINAL YEAR 3
DON'T KNOW 8

GRADES FOR HIGHER LEVEL

FIRST YEAR 1
SECOND YEAR 2
THIRD YEAR 3
FOURTH YEAR AND HIGHER 4
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <txt>EDYRTOTAL (V133) reports the woman's education level in single years. This variable is constructed from responses to EDUCLVL (V106) and YRSCHL (V107) as follows:

If EDUCLVL = "No education," EDYRTOTAL = "0"
If EDUCLVL = "Primary," EDYRTOTAL = YRSCHL
If EDUCLVL = "Secondary," EDYRTOTAL = YRSCHL + x
If EDUCLVL = "Higher," EDYRTOTAL = YRSCHL + y
If EDUCLVL = "Missing," EDYRTOTAL = "Missing"

In the above equations, "x" equals the number of years needed to complete primary education, and "y" equals the number of years needed to complete primary and secondary education. The values of "x" and "y" are country-specific.</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_EDACHIEVER" name="B_EDACHIEVER" files="B" intrvl="discrete">
  <labl>Summary educational achievement</labl>
  <imputation>Summary educational achievement</imputation>
  <security>Summary educational achievement</security>
  <embargo>Summary educational achievement</embargo>
  <respUnit>Summary educational achievement</respUnit>
  <qstn>
    <qstnLit>109) What was the last grade you completed at this level?

GRADES FOR PRIMARY

INTRODUCTORY COURSE 1
PREPARATORY COURSE 2
ELEMENTARY COURSE 1 3
ELEMENTARY COURSE 2 4
MID-LEVEL COURSE 1 5
MID-LEVEL COURSE 2 6

GRADES FOR SECONDARY, FIRST CYCLE

6TH 1
5TH 2
4TH 3
3RD 4
DON'T KNOW 8

GRADES FOR SECONDARY, SECOND

2ND 1
1ST 2
FINAL YEAR 3
DON'T KNOW 8

GRADES FOR HIGHER LEVEL

FIRST YEAR 1
SECOND YEAR 2
THIRD YEAR 3
FOURTH YEAR AND HIGHER 4
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <labl>No education</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Incomplete primary</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Complete primary</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Incomplete secondary</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Complete secondary</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Higher</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>EDACHIEVER (V149) is a summary variable that reports the woman's highest level of education in broad categories. Countries vary in the gradations of their school systems, but EDACHIEVER is a standardized variable providing the level of education in six categories: No education, Incomplete primary, Complete primary, Incomplete secondary, Complete secondary, and Higher.

EDACHIEVER is constructed from information contained in EDUCLVL (V106) and YRSCHL (V107).</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_INSCHOOL" name="B_INSCHOOL" files="B" intrvl="discrete">
  <labl>Woman still in school</labl>
  <imputation>Woman still in school</imputation>
  <security>Woman still in school</security>
  <embargo>Woman still in school</embargo>
  <respUnit>Woman still in school</respUnit>
  <qstn>
    <qstnLit>10) IF UNDER 25 YEARS OLD: Does (NAME) still go to school?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>INSCHOOL (V148) indicates whether young women are currently attending school or university. Women age 24 or older are assumed to no longer be in school and automatically coded as "No" (code "0").</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_HUSEDLVL" name="B_HUSEDLVL" files="B" intrvl="discrete">
  <labl>Partner's educational level</labl>
  <imputation>Partner's educational level</imputation>
  <security>Partner's educational level</security>
  <embargo>Partner's educational level</embargo>
  <respUnit>Partner's educational level</respUnit>
  <qstn>
    <qstnLit>703) What is the highest level of school that he reached: primary, post-primary, secondary, or higher?

PRIMARY 1
SECONDARY, FIRST CYCLE 2
SECONDARY, SECOND CYCLE 3
HIGHER 4
DON'T KNOW 8 (GO TO 705)</qstnLit>
  </qstn>
  <catgry>
    <labl>No education</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Primary</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Secondary</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Higher</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who had ever been married or lived with a man, HUSEDLVL (V701) reports the highest level of school attended by their most recent husband/partner. Countries vary in the gradations of their school systems, but HUSEDLVL is a standardized variable reporting the level of education in four categories: No education, Primary, Secondary, and Higher. 

The DHS recode manuals state, "In some countries the educational system does not fit naturally within this scheme, and a different categorization was used for the Final Report. In this case, this variable is constructed as accurately as possible from the country's own scheme, and the variable used for the Final Report is included as a country-specific variable."</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_HUSEDYR" name="B_HUSEDYR" files="B" intrvl="discrete">
  <labl>Partner's highest year of education in level</labl>
  <imputation>Partner's highest year of education in level</imputation>
  <security>Partner's highest year of education in level</security>
  <embargo>Partner's highest year of education in level</embargo>
  <respUnit>Partner's highest year of education in level</respUnit>
  <qstn>
    <qstnLit>704) What was the last (grade, year) that he completed at that level?

GRADE: ___
DON'T KNOW 8

CLASSES FOR PRIMARY LEVEL

INTRODUCTORY COURSE 1
PREPARATORY COURSE 2
ELEMENTARY COURSE 1 3
ELEMENTARY COURSE 2 4
MID-LEVEL COURSE 1 5
MID-LEVEL COURSE 2 6

CLASSES FOR SECONDARY, FIRST CYCLE LEVEL

6TH 1
5TH 2
4TH 3
3RD 4
DON'T KNOW 8

CLASSES FOR SECONDARY, SECOND CYCLE LEVEL

2ND 1
1ST 2
FINAL YEAR 3
DON'T KNOW 8

CLASSES FOR HIGHER LEVEL

FIRST YEAR 1
SECOND YEAR 2
THIRD YEAR 3
FOURTH YEAR AND HIGHER 4
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women whose most recent husband/partner had ever attended school, HUSEDYR (V702) reports the number of years of schooling completed by their husband/partner at the educational level (primary, secondary, or higher) reported in HUSEDLVL (V701).

For the husband's total years of education, see HUSEDYRS (V715).</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_HUSEDYRS" name="B_HUSEDYRS" files="B" intrvl="discrete">
  <labl>Partner's education in total years schooling</labl>
  <imputation>Partner's education in total years schooling</imputation>
  <security>Partner's education in total years schooling</security>
  <embargo>Partner's education in total years schooling</embargo>
  <respUnit>Partner's education in total years schooling</respUnit>
  <qstn>
    <qstnLit>704) What was the last (grade, year) that he completed at that level?

GRADE: ___
DON'T KNOW 8

CLASSES FOR PRIMARY LEVEL

INTRODUCTORY COURSE 1
PREPARATORY COURSE 2
ELEMENTARY COURSE 1 3
ELEMENTARY COURSE 2 4
MID-LEVEL COURSE 1 5
MID-LEVEL COURSE 2 6

CLASSES FOR SECONDARY, FIRST CYCLE LEVEL

6TH 1
5TH 2
4TH 3
3RD 4
DON'T KNOW 8

CLASSES FOR SECONDARY, SECOND CYCLE LEVEL

2ND 1
1ST 2
FINAL YEAR 3
DON'T KNOW 8

CLASSES FOR HIGHER LEVEL

FIRST YEAR 1
SECOND YEAR 2
THIRD YEAR 3
FOURTH YEAR AND HIGHER 4
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who had ever been married or lived with a man, HUSEDYRS (V715) reports the education of the woman's most recent husband/partner in single years. This variable is constructed from responses to HUSEDLVL (V701) and HUSEDYR (V702) as follows:

If HUSEDLVL = "No education," HUSEDYRS = "0"
If HUSEDLVL = "Primary," HUSEDYRS = HUSEDYR 
If HUSEDLVL = "Secondary," HUSEDYRS = HUSEDYR + x
If HUSEDLVL = "Higher," HUSEDYRS = HUSEDYR + y
If HUSEDLVL = "Missing," HUSEDYRS = "Missing"

In the above equations, "x" equals the number of years needed to complete primary education, and "y" equals the number of years needed to complete primary and secondary education. The values of "x" and "y" are country-specific.</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_HUSEDACHIEVER" name="B_HUSEDACHIEVER" files="B" intrvl="discrete">
  <labl>Husband's summary educational achievement</labl>
  <imputation>Husband's summary educational achievement</imputation>
  <security>Husband's summary educational achievement</security>
  <embargo>Husband's summary educational achievement</embargo>
  <respUnit>Husband's summary educational achievement</respUnit>
  <qstn>
    <qstnLit>704) What was the last (grade, year) that he completed at that level?

GRADE: ___
DON'T KNOW 8

CLASSES FOR PRIMARY LEVEL

INTRODUCTORY COURSE 1
PREPARATORY COURSE 2
ELEMENTARY COURSE 1 3
ELEMENTARY COURSE 2 4
MID-LEVEL COURSE 1 5
MID-LEVEL COURSE 2 6

CLASSES FOR SECONDARY, FIRST CYCLE LEVEL

6TH 1
5TH 2
4TH 3
3RD 4
DON'T KNOW 8

CLASSES FOR SECONDARY, SECOND CYCLE LEVEL

2ND 1
1ST 2
FINAL YEAR 3
DON'T KNOW 8

CLASSES FOR HIGHER LEVEL

FIRST YEAR 1
SECOND YEAR 2
THIRD YEAR 3
FOURTH YEAR AND HIGHER 4
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <labl>No education</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Incomplete primary</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Complete primary</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Incomplete secondary</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Complete secondary</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Higher</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>HUSEDACHIEVER (V729) is a summary variable that reports the highest level of education in broad categories for the woman's husband/partner. Countries vary in the gradations of their school systems, but HUSEDACHIEVER is a standardized variable providing the level of education in six categories: No education, Incomplete primary, Complete primary, Incomplete secondary, Complete secondary, and Higher. 

HUSEDACHIEVER is constructed from information contained in the HUSEDLVL (V701) and HUSEDYR (V702) variables.</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_NEWSWK" name="B_NEWSWK" files="B" intrvl="discrete">
  <labl>Reads newspaper once a week</labl>
  <imputation>Reads newspaper once a week</imputation>
  <security>Reads newspaper once a week</security>
  <embargo>Reads newspaper once a week</embargo>
  <respUnit>Reads newspaper once a week</respUnit>
  <qstn>
    <qstnLit>112) Do you read a journal or magazine practically at least once a week?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>NEWSWK (V109) indicates whether the woman usually reads a newspaper or magazine at least once a week. 

For a comparable variable reporting the frequency of newspaper or magazine reading, see NEWSFQ (V157). For a variable bridging NEWSWK and NEWSFQ, see NEWSBRIG.</txt>
  <concept>
    <title>Media exposure Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_NEWSBRIG" name="B_NEWSBRIG" files="B" intrvl="discrete">
  <labl>Reads newspaper: Bridging variable</labl>
  <imputation>Reads newspaper: Bridging variable</imputation>
  <security>Reads newspaper: Bridging variable</security>
  <embargo>Reads newspaper: Bridging variable</embargo>
  <respUnit>Reads newspaper: Bridging variable</respUnit>
  <qstn>
    <qstnLit>112) Do you read a journal or magazine practically at least once a week?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>No, not at all</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>No, less than once a week</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>At least once a week</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Almost every day</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <txt>NEWSBRIG serves as a bridging variable between two approaches to collecting information on exposure to newspapers and magazines.  For DHS Phases 1-3, respondents were asked whether they read a newspaper or magazine at least once a week (NEWSWK (V109)).  Beginning in DHS Phase 4, respondents were asked how often they read newspapers or magazines (NEWSFQ (V157)). 

NEWSBRIG uses composite coding to combine data from these two approaches. See Comparability for more information.</txt>
  <concept>
    <title>Media exposure Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TVWK" name="B_TVWK" files="B" intrvl="discrete">
  <labl>Watches TV every week</labl>
  <imputation>Watches TV every week</imputation>
  <security>Watches TV every week</security>
  <embargo>Watches TV every week</embargo>
  <respUnit>Watches TV every week</respUnit>
  <qstn>
    <qstnLit>114) Do you watch television at least once a week?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TVWK (V110) indicates whether the woman usually watches television at least once a week.

For a comparable variable reporting the frequency of watching television, see TVFQ (V159). For a variable bridging TVWK and TVFQ, see TVBRIG.</txt>
  <concept>
    <title>Media exposure Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TVBRIG" name="B_TVBRIG" files="B" intrvl="discrete">
  <labl>Watches television: Bridging variable</labl>
  <imputation>Watches television: Bridging variable</imputation>
  <security>Watches television: Bridging variable</security>
  <embargo>Watches television: Bridging variable</embargo>
  <respUnit>Watches television: Bridging variable</respUnit>
  <qstn>
    <qstnLit>114) Do you watch television at least once a week?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>No, not at all</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>No, less than once a week</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>At least once a week</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Almost every day</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <txt>TVBRIG serves as a bridging variable between two approaches to collecting information on exposure to television.  For DHS Phases 1-3, respondents were asked whether they watch television at least once a week (TVWK (V110)).  Beginning in DHS Phase 4, respondents were asked how often they watch television (TVFQ (V159)). 

TVBRIG uses composite coding to combine data from these two approaches; see Comparability.</txt>
  <concept>
    <title>Media exposure Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_RADIOWK" name="B_RADIOWK" files="B" intrvl="discrete">
  <labl>Listens to radio every week</labl>
  <imputation>Listens to radio every week</imputation>
  <security>Listens to radio every week</security>
  <embargo>Listens to radio every week</embargo>
  <respUnit>Listens to radio every week</respUnit>
  <qstn>
    <qstnLit>113) Do you listen to the radio at least once a week?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <txt>RADIOWK (V112) indicates whether the woman usually listens to the radio at least once a week. Women who reported that they listen to the radio daily (see RADIODAY (V111)) were automatically coded as "Yes."

For a comparable variable reporting the frequency of listening to the radio, see RADIOFQ (V158). For a variable bridging RADIOWK and RADIOFQ, see RADIOBRIG.</txt>
  <concept>
    <title>Media exposure Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_RADIOBRIG" name="B_RADIOBRIG" files="B" intrvl="discrete">
  <labl>Listens to radio: Bridging variable</labl>
  <imputation>Listens to radio: Bridging variable</imputation>
  <security>Listens to radio: Bridging variable</security>
  <embargo>Listens to radio: Bridging variable</embargo>
  <respUnit>Listens to radio: Bridging variable</respUnit>
  <qstn>
    <qstnLit>113) Do you listen to the radio at least once a week?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Not at all</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Less than once a week</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>At least once a week</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Almost every day</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <txt>RADIOBRIG serves as a bridging variable between two approaches to collecting information on exposure to the radio.  For DHS Phases 1-3, respondents were asked whether they listen to the radio at least once a week (RADIOWK (V112)).  Beginning in DHS Phase 4, respondents were asked how often they listen to the radio (RADIOFQ (V158)). 

RADIOBRIG uses composite coding to combine data from these two approaches; see Comparability.</txt>
  <concept>
    <title>Media exposure Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FERTPREF" name="B_FERTPREF" files="B" intrvl="discrete">
  <labl>Fertility preferences</labl>
  <imputation>Fertility preferences</imputation>
  <security>Fertility preferences</security>
  <embargo>Fertility preferences</embargo>
  <respUnit>Fertility preferences</respUnit>
  <qstn>
    <qstnLit>603) CHECK 223:

NOT PREGNANT OR UNSURE: Now I have some questions about the future. Would you like to have (a/another) child you would you prefer not have any (more) children?

PREGNANT: Now I have some questions about the future. After the child you're expecting, would you like to have another child or would you prefer to not have any more children?

HAVE (ANOTHER) CHILD 1
NO MORE/NONE 2 (GO TO 610)
SHE SAYS SHE CAN'T GET PREGNANT 3 (GO TO 610)
UNDECIDED OR DON'T KNOW 8 (GO TO 610)</qstnLit>
  </qstn>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>Never had sex</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Declared infecund</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Sterilized</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Not at risk of pregnancy</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Up to God</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>No more</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Undecided</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Have another</labl>
  </catgry>
  <txt>For countries with low contraceptive prevalence, FERTPREF (V602) reports responses to the question, "Would you like to have a (another) child or would you prefer not to have any (more) children"?  The standard response categories are "have another," "no more/none," "says she can't get pregnant," and "undecided or don't know."   

In Phase I, FERTPREF (V602), was constructed from two questions in countries with high contraceptive prevalence (Model "A" questionnaires). Women who responded that they want another child, but when asked when they would like the next child, respond that they cannot get pregnant, are classified in the "declared infecund category," and not in the "Wants another" category. 

Some samples also include the response "up to God." More detailed responses under the general category "says she can't get pregnant" are sometimes available. In IPUMS-DHS, all responses in the general category of "not at risk of pregnancy" share a common first digit of 5, while the second digit distinguishes between the specific reasons.  In some countries, women who never had sexual intercourse (coded as "53" in IPUMS-DHS) were not asked the questions relating to their desire for future children.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_UNMETNEED" name="B_UNMETNEED" files="B" intrvl="discrete">
  <labl>Unmet need for FP</labl>
  <imputation>Unmet need for FP</imputation>
  <security>Unmet need for FP</security>
  <embargo>Unmet need for FP</embargo>
  <respUnit>Unmet need for FP</respUnit>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Desire birth in less than 2 years</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>No unmet need</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>Never had sex</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Not in union, not sexually active</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Infecund or menopausal</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Not at risk</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>No sex, want to wait</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Future need for FP</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Limiting failure</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Spacing failure</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Had FP failure</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Using to limit</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Using to space</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Now using FP</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Unmet need to limit</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Unmet need to space</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Has unmet need for FP</labl>
  </catgry>
  <txt>UNMETNEED (V624) is a constructed variable that reports a woman's need for family planning according to whether she has an unmet need or a met need to space or to limit her future births.  

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

The following describes the constructed categories in more detail:

Unmet need for spacing includes pregnant women whose pregnancy was mistimed, postpartum amenorrheic women whose last birth was mistimed, and fecund women who are neither pregnant nor postpartum amenorrheic and who are not using any method of family planning and say they want to wait two or more years for their next birth, are undecided about the timing of the next birth, or are undecided whether to have another child. 
Unmet need for limiting includes pregnant women whose pregnancy was unwanted, postpartum amenorrheic women whose last birth was unwanted, and fecund women who are neither pregnant nor postpartum amenorrheic and who are not using any method of family planning and who want no more children. 
Met need for spacing includes women who are using some method of family planning and say they want to have another child, are undecided about the timing of the next birth, or are undecided whether to have another child. 
Met need for limiting includes women who are using family planning and who want no more children. 

Note that the specific methods (modern or traditional) are not taken into account here.

Met need describes women who have no need for contraceptive methods, either because they desire a child soon (within the next two years) or because they are menopausal or infecund. 

In high contraceptive prevalence countries (Model "A" countries), pregnant and postpartum amenorrheic women whose pregnancy was the result of a contraceptive failure are not included in the category of unmet need, but they are categorized as spacing failures or limiting failures. In low contraceptive prevalence countries (Model "B" countries), no such distinction is made, since information was not collected on contraceptive failure. Infecund women are also excluded from the unmet need categories.


The  "Online Guide to DHS Statistics" provides the following definitions:
  Fecundity:  A woman is assumed to be fecund unless she declares that she is infecund, had a hysterectomy, or is menopausic.  Women who are neither pregnant nor postpartum amenorrheic but who have not menstruated for six or more months, and married women who have not used contraception in the past five years but have not had a birth and are not pregnant, are also considered infecund.
 Failure to Space:  This includes women who are pregnant (not due to a contraceptive failure) or are less than six months postpartum amenorrheic who say they wanted the current pregnancy later.
 Failure to Limit:  This includes women who are pregnant (not due to a contraceptive failure) or are less than six months postpartum amenorrheic who say that they did not want another child before they became pregnant.

Excluded from the unmet need category are women who became pregnant while using a method (these women are in need of a better method of contraception).

The infecund or menopausal category on the UNMETNEED (V624) variable contains fewer cases than the EXPOSURE1 variable, because women who are categorized as infecund or menopausal, but are currently using a contraceptive method, are recorded in the two "met need" categories in UNMETNEED.


UNMETNEED (V624) incorporates responses to the following variables:

 [EXPOSURE1/V623], which reports the woman's exposure to the risk of pregnancy, defined as pregnant, postpartum amenorrheic, menopausal or infecund, and fecund. 
 [ V225], which reports whether a current pregnancy was wanted then, later or not at all (for women who were pregnant at the time of interview). 
 [KIDDESIRE/V605] ,which reports whether the woman wants more children and when she would like them.
 [FPMETHNOW/V312] which reports the woman's current use of contraception. 

Users are also encouraged to see details of this variable provided in the "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006) [URL omitted from DDI.].</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_UNMETNEED2" name="B_UNMETNEED2" files="B" intrvl="discrete">
  <labl>Unmet need for FP (2nd def)</labl>
  <imputation>Unmet need for FP (2nd def)</imputation>
  <security>Unmet need for FP (2nd def)</security>
  <embargo>Unmet need for FP (2nd def)</embargo>
  <respUnit>Unmet need for FP (2nd def)</respUnit>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>No sex, want to wait/not married and no sex in last 30 days</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Never had sex</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Infecund, menopausal</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Not at risk for pregnancy</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Desire birth in less than 2 yrs</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>No unmet need</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Limiting failure</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Spacing failure</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Family limitation failure</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Using to limit</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Using to space</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Now using FP</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Unmet need to limit</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Unmet need to space</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Has unmet need for FP</labl>
  </catgry>
  <txt>UNMETNEED2 (V626) is a constructed variable that indicates a woman's need for family planning according to whether she has an unmet need or a met need to space or to limit her future births.  UNMETNEED2 is similar to UNMETNEED, but UNMETNEED2 differently categorizes women who are infecund or menopausal but are currently using a contraceptive method. 

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

The construction of UNMETNEED2 uses a definition of fecundity based on exposure status as reported in EXPOSURE2. UNMETNEED, by contrast, uses a definition of exposure status as reported in EXPOSURE1. See the descriptions of these two variables for discussion of their differences.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_KIDDESIRE" name="B_KIDDESIRE" files="B" intrvl="discrete">
  <labl>Desire for more children</labl>
  <imputation>Desire for more children</imputation>
  <security>Desire for more children</security>
  <embargo>Desire for more children</embargo>
  <respUnit>Desire for more children</respUnit>
  <qstn>
    <qstnLit>603) CHECK 223:

NOT PREGNANT OR UNSURE: Now I have some questions about the future. Would you like to have (a/another) child you would you prefer not have any (more) children?

PREGNANT: Now I have some questions about the future. After the child you're expecting, would you like to have another child or would you prefer to not have any more children?

HAVE (ANOTHER) CHILD 1
NO MORE/NONE 2 (GO TO 610)
SHE SAYS SHE CAN'T GET PREGNANT 3 (GO TO 610)
UNDECIDED OR DON'T KNOW 8 (GO TO 610)</qstnLit>
  </qstn>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>Never had sex</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>Declared infecund</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Sterilized</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Not at risk of pregnancy</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Up to God</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Fatalistic response</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Wants no more</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Undecided</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Wants, unsure timing</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Wants after 2+ years</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Wants within 2 years</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Wants more children</labl>
  </catgry>
  <txt>KIDDESIRE (V605) is a constructed variable that distinguishes between women who want another child soon (in less than two years), who want another child later (in 2+ years), who want no more children, and who aren't sure (about timing or about the number of children desired).  

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

The construction of this variable has changed across phases of the DHS and varies across countries (only sometimes distinguishing between groups of women not at risk of pregnancy due to sterilization, infecundity, or virginity).  To maximize comparability across samples, IPUMS-DHS employs composite coding.  Women who want more children share a common first digit of 1, women not at risk of pregnancy share a common first digit of 6, and detail present in only some samples is specified in the code's second digit.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPLCHDESIRE" name="B_FPLCHDESIRE" files="B" intrvl="discrete">
  <labl>Wanted last child</labl>
  <imputation>Wanted last child</imputation>
  <security>Wanted last child</security>
  <embargo>Wanted last child</embargo>
  <respUnit>Wanted last child</respUnit>
  <qstn>
    <qstnLit>403) At the time you became pregnant with (NAME), did you want to become pregnant then, did you want to wait until later, or did you want no more children at all?

THEN 1 (GO TO 405)
LATER 2
NO MORE 3 (GO TO 405)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Wanted last child then</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Wanted last child later</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Wanted no more children</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Unsure</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPLCHDESIRE (V367) reports whether the woman's last born child was wanted at the time she got pregnant, was wanted but at a later time, or was not wanted at all. The cutoff point for when the woman's last child was born varies across samples; see Comparability.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PGDESIRE" name="B_PGDESIRE" files="B" intrvl="discrete">
  <labl>Time wanted current pregnancy</labl>
  <imputation>Time wanted current pregnancy</imputation>
  <security>Time wanted current pregnancy</security>
  <embargo>Time wanted current pregnancy</embargo>
  <respUnit>Time wanted current pregnancy</respUnit>
  <qstn>
    <qstnLit>225) At the time you became pregnant, did you want to become pregnant then, did you want to wait until later or did you not want to become pregnant?

THEN 1
LATER 2
NOT AT ALL 3
GOD WILLED IT 4
DON'T KNOW 5</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Then</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Later</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Not at all</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Up to God</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know/Not sure</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are currently pregnant, PGDESIRE (V225) reports whether, at the time of becoming pregnant, the woman wanted her pregnancy then, later, or not at all.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_IDEALKID" name="B_IDEALKID" files="B" intrvl="discrete">
  <labl>Ideal number of children</labl>
  <imputation>Ideal number of children</imputation>
  <security>Ideal number of children</security>
  <embargo>Ideal number of children</embargo>
  <respUnit>Ideal number of children</respUnit>
  <qstn>
    <qstnLit>617) CHECK 216:

HAS LIVING CHILDREN: If you could go back to the time you did not have any children and could choose exactly the number of children to have in your whole life, how many would that be?

NO LIVING CHILDREN: If you could choose exactly the number of children to have in your whole life, how many would that be?

RECORD SINGLE NUMBER OR OTHER ANSWER.

NUMBER: ___
OTHER ANSWER (SPECIFY): ___ 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>Number she has currently</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>Depends on husband</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>As many as possible</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>Never thought about it</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>Any number/Fatalistic</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Up to God/As Allah wills</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Non-numeric response</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>As many as can care for</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>Doesn't want children</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>IDEALKID (V613) reports the ideal total number of children the woman would have liked to have in her whole life, regardless of her actual childbearing. The information is collected through hypothetical questions such as, "If you could go back to the time you did not have any children and could choose exactly the number of children to have in your whole life, how many would that be?" (for women with living children) or "If you could choose exactly the number of children to have in your whole life, how many would that be?" (for women without living children).

If the woman responded with a range of values, IDEALKID reports the midpoint between those values. According to the DHS Recode Manuals, "If the midpoint is not an exact number then the number is rounded up in half the cases and rounded down for the other half." The questionnaires included space for non-numeric "other" responses, such as "Up to God."

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_IDEALKIDGRP" name="B_IDEALKIDGRP" files="B" intrvl="discrete">
  <labl>Ideal number of children (grouped)</labl>
  <imputation>Ideal number of children (grouped)</imputation>
  <security>Ideal number of children (grouped)</security>
  <embargo>Ideal number of children (grouped)</embargo>
  <respUnit>Ideal number of children (grouped)</respUnit>
  <qstn>
    <qstnLit>617) CHECK 216:

HAS LIVING CHILDREN: If you could go back to the time you did not have any children and could choose exactly the number of children to have in your whole life, how many would that be?

NO LIVING CHILDREN: If you could choose exactly the number of children to have in your whole life, how many would that be?

RECORD SINGLE NUMBER OR OTHER ANSWER.

NUMBER: ___
OTHER ANSWER (SPECIFY): ___ 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Non-numeric response</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6+</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <labl>[no label]</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>Like IDEALKID, IDEALKIDGRP (V614) reports the total number of children the woman would hypothetically like to have in her whole life, regardless of her actual childbearing, but top-codes numeric responses at 6+ children and codes non-numeric responses as 7.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_IDEALBTHFUT" name="B_IDEALBTHFUT" files="B" intrvl="discrete">
  <labl>Ideal time before future birth</labl>
  <imputation>Ideal time before future birth</imputation>
  <security>Ideal time before future birth</security>
  <embargo>Ideal time before future birth</embargo>
  <respUnit>Ideal time before future birth</respUnit>
  <qstn>
    <qstnLit>604) CHECK 223:

NOT PREGNANT OR UNSURE: How long would you like to wait from now before (a/another) child?

PREGNANT: How long would you like to wait after the birth of the child you are expecting before the birth of another child?

MONTHS: ___ 1 (GO TO 610)
YEARS: ___ 2 (GO TO 610)
SOON/NOW 994 (GO TO 610)
SHE SAYS SHE CAN'T GET PREGNANT 995 (GO TO 610)
OTHER (SPECIFY): ___ 996
DON'T KNOW 998</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67 months</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68 months</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69 months</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70 months</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71 months</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72 months</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73 months</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74 months</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75 months</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76 months</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77 months</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78 months</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79 months</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80 months</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81 months</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82 months</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83 months</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84 months</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85 months</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86 months</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87 months</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88 months</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89 months</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90 months</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>91 months</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>92 months</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>93 months</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>94 months</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>95 months</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>96 months</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>97 months</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>98 months</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Months, unspecified number</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35+ years</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Years, number missing</labl>
  </catgry>
  <catgry>
    <catValu>989</catValu>
    <labl>Up to God</labl>
  </catgry>
  <catgry>
    <catValu>990</catValu>
    <labl>After finishing school</labl>
  </catgry>
  <catgry>
    <catValu>991</catValu>
    <labl>After marriage</labl>
  </catgry>
  <catgry>
    <catValu>992</catValu>
    <labl>When husband returns</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>After breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>At any time</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Soon/now</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>IDEALBTHFUT (V616) reports how long the woman would like to wait before the birth of a/another child.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_IDEALBTHINT" name="B_IDEALBTHINT" files="B" intrvl="discrete">
  <labl>Best interval between births</labl>
  <imputation>Best interval between births</imputation>
  <security>Best interval between births</security>
  <embargo>Best interval between births</embargo>
  <respUnit>Best interval between births</respUnit>
  <qstn>
    <qstnLit>618) What do you think is the best number of months or years between the birth of one child and the birth of the next child?

MONTHS: ___ 1
YEARS: ___ 2
OTHER (SPECIFY): ___ 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>169</catValu>
    <labl>69 months</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68 months</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Months, unspecified number</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Years, unspecified number</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67 months</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70 months</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71 months</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72 months</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73 months</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74 months</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75 months</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76 months</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77 months</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78 months</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79 months</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80 months</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81 months</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82 months</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83 months</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84 months</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85 months</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86 months</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87 months</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88 months</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89 months</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90 months</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 years</labl>
  </catgry>
  <txt>IDEALBTHINT (V615) reports the best number of months or years between the birth of one child and the birth of the next child, according to the respondent.

IPUMS-DHS adopts the recoding system from DHS for IDEALBTHINT. Below is a description of the codes from the DHS Recode Manual for Phase 2:


The first digit gives the units in which the respondent answered ("1" indicates months, "2" indicates years, and "9" indicates a special response), while the last two digits give the time in those units. If the units' value is 9 then the variable contains a special response, and if the duration value is greater than 90 this also indicates a special response. For example, code 996 is used for "other" answers, and code 299 would mean that the response was given in years but the actual duration was missing on the questionnaire.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PREFTIMECH" name="B_PREFTIMECH" files="B" intrvl="discrete">
  <labl>Preferred waiting time for birth of a(nother) child</labl>
  <imputation>Preferred waiting time for birth of a(nother) child</imputation>
  <security>Preferred waiting time for birth of a(nother) child</security>
  <embargo>Preferred waiting time for birth of a(nother) child</embargo>
  <respUnit>Preferred waiting time for birth of a(nother) child</respUnit>
  <qstn>
    <qstnLit>604) CHECK 223:

NOT PREGNANT OR UNSURE: How long would you like to wait from now before (a/another) child?

PREGNANT: How long would you like to wait after the birth of the child you are expecting before the birth of another child?

MONTHS: ___ 1 (GO TO 610)
YEARS: ___ 2 (GO TO 610)
SOON/NOW 994 (GO TO 610)
SHE SAYS SHE CAN'T GET PREGNANT 995 (GO TO 610)
OTHER (SPECIFY): ___ 996
DON'T KNOW 998</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than one month (want now)</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67 months</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68 months</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69 months</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70 months</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71 months</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72 months</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73 months</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74 months</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75 months</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76 months</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77 months</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78 months</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79 months</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80 months</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81 months</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82 months</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83 months</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84 months</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85 months</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86 months</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87 months</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88 months</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89 months</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90 months</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>91 months</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>92 months</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>93 months</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>94 months</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>95 months</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>96 months</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>97 months</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>98 months</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Months, number unspecified</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than one year</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 years or more</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Years, number unspecified</labl>
  </catgry>
  <catgry>
    <catValu>987</catValu>
    <labl>After weaning</labl>
  </catgry>
  <catgry>
    <catValu>989</catValu>
    <labl>After finishing school</labl>
  </catgry>
  <catgry>
    <catValu>990</catValu>
    <labl>When spouse returns</labl>
  </catgry>
  <catgry>
    <catValu>991</catValu>
    <labl>Up to God</labl>
  </catgry>
  <catgry>
    <catValu>992</catValu>
    <labl>After marriage</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>Any time</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>Soon or immediately</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Other, non-numeric response</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent response</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who want to have a/another child, PREFTIMECH (V603) reports the amount of time, in months or years, they would like to wait before the birth of a/another child (top-coded at 20 years). The complementary variable PREFTIMECH (V604) reports responses to the same question, but in terms of years only, top-coded at 6+ years.

PREFTIMECH includes women who are either pregnant or at risk of pregnancy. However, the definition of "at risk of pregnancy" varies across samples, and the way this variable was asked and calculated also changed over time; see Comparability.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PREFTIMECHGP" name="B_PREFTIMECHGP" files="B" intrvl="discrete">
  <labl>Preferred waiting time for birth of a(nother) child (grouped)</labl>
  <imputation>Preferred waiting time for birth of a(nother) child (grouped)</imputation>
  <security>Preferred waiting time for birth of a(nother) child (grouped)</security>
  <embargo>Preferred waiting time for birth of a(nother) child (grouped)</embargo>
  <respUnit>Preferred waiting time for birth of a(nother) child (grouped)</respUnit>
  <qstn>
    <qstnLit>604) CHECK 223:

NOT PREGNANT OR UNSURE: How long would you like to wait from now before (a/another) child?

PREGNANT: How long would you like to wait after the birth of the child you are expecting before the birth of another child?

MONTHS: ___ 1 (GO TO 610)
YEARS: ___ 2 (GO TO 610)
SOON/NOW 994 (GO TO 610)
SHE SAYS SHE CAN'T GET PREGNANT 995 (GO TO 610)
OTHER (SPECIFY): ___ 996
DON'T KNOW 998</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Less than 12 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6 or more years</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Non-numeric response</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who want to have a/another child, PREFTIMECHGP (V604) reports the amount of time, in years, they would like to wait before the birth of a/another child, top-coded at 6+ years.  

PREFTIMECHGP includes women who are either pregnant or at risk of pregnancy. However, the definition of "at risk of pregnancy" varies across samples; see Comparability. 

The related variable PREFTIMECH presents the same information in greater detail, in terms of months or years, top-coded at 20 years.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_IDEALAGECH" name="B_IDEALAGECH" files="B" intrvl="discrete">
  <labl>Desired age of youngest child at future birth</labl>
  <imputation>Desired age of youngest child at future birth</imputation>
  <security>Desired age of youngest child at future birth</security>
  <embargo>Desired age of youngest child at future birth</embargo>
  <respUnit>Desired age of youngest child at future birth</respUnit>
  <qstn>
    <qstnLit>606) CHECK 223:

NOT PREGNANT OR UNSURE: How old would you like your youngest child to be when your next child is born?

PREGNANT: How old would you like the child you are expecting to be when your next child is born?

AGE OF YOUNGEST CHILD IN YEARS: ___ (GO TO 610)
DON'T KNOW 98 (GO TO 610)</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20 years</labl>
  </catgry>
  <txt>For women who want to have a (another) child, IDEALAGECH (V617) reports the ideal age of their youngest child at the time of a future birth.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FERTPREFTLKH" name="B_FERTPREFTLKH" files="B" intrvl="discrete">
  <labl>Discussed number of children with partner</labl>
  <imputation>Discussed number of children with partner</imputation>
  <security>Discussed number of children with partner</security>
  <embargo>Discussed number of children with partner</embargo>
  <respUnit>Discussed number of children with partner</respUnit>
  <qstn>
    <qstnLit>612) Have you talked to your husband about the number of children you'd like to have?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FERTPREFTLKH (V620) indicates whether the woman and her husband/partner have discussed the number of children they would like to have.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_HUSFERTPREF" name="B_HUSFERTPREF" files="B" intrvl="discrete">
  <labl>Husband's desire for children</labl>
  <imputation>Husband's desire for children</imputation>
  <security>Husband's desire for children</security>
  <embargo>Husband's desire for children</embargo>
  <respUnit>Husband's desire for children</respUnit>
  <qstn>
    <qstnLit>613) Do you think your husband/partner wants the same number of children that you want, or does he want more or fewer than you want?

SAME NUMBER 1
MORE CHILDREN 2
FEWER CHILDREN 3
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Both want same</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Husband wants more</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Husband wants fewer</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Don't Know</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Both provided non-numeric response</labl>
  </catgry>
  <txt>HUSFERTPREF (V621) reports whether the woman believes her partner wants the same number of children, more children, or fewer children than she wants.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPAPPROVE" name="B_FPAPPROVE" files="B" intrvl="discrete">
  <labl>Respondent approves of couples using FP</labl>
  <imputation>Respondent approves of couples using FP</imputation>
  <security>Respondent approves of couples using FP</security>
  <embargo>Respondent approves of couples using FP</embargo>
  <respUnit>Respondent approves of couples using FP</respUnit>
  <qstn>
    <qstnLit>616) In general, do you approve or disapprove of couples using a method to avoid getting pregnant?

APPROVE 1
DISAPPROVE 2</qstnLit>
  </qstn>
  <catgry>
    <labl>Disapproves</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Approves</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Depends</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know/Undecided</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPAPPROVE (V612) indicates whether the woman approves, in general, of the use of family planning to avoid a pregnancy.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_HUSPROFP" name="B_HUSPROFP" files="B" intrvl="discrete">
  <labl>Husband approves FP use</labl>
  <imputation>Husband approves FP use</imputation>
  <security>Husband approves FP use</security>
  <embargo>Husband approves FP use</embargo>
  <respUnit>Husband approves FP use</respUnit>
  <qstn>
    <qstnLit>610) Do you think that your husband/partner approves or disapproves of couples using a method to avoid pregnancy?

APPROVES 1
DISAPPROVES 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Disapproves</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Approves or indifferent</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Approves</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Indifferent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>HUSPROFP (V610) indicates whether the woman believes her husband or male partner approves of couples using a family planning method to avoid pregnancy.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_EXPOSURE1" name="B_EXPOSURE1" files="B" intrvl="discrete">
  <labl>Fecund, pregnant, amenorrheic, or infecund</labl>
  <imputation>Fecund, pregnant, amenorrheic, or infecund</imputation>
  <security>Fecund, pregnant, amenorrheic, or infecund</security>
  <embargo>Fecund, pregnant, amenorrheic, or infecund</embargo>
  <respUnit>Fecund, pregnant, amenorrheic, or infecund</respUnit>
  <catgry>
    <catValu>3</catValu>
    <labl>Infecund, menopausal</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Amenorrheic</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Pregnant</labl>
  </catgry>
  <catgry>
    <labl>Fecund</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>EXPOSURE1 (V623) is a constructed variable that draws upon responses to several questions to differentiate between pregnant women, postpartum amenorrheic women, menopausal or infecund women, and fecund women.  

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

According to the DHS Recode Manuals, these categories are actualized as follows:

Pregnant women
Postpartum amenorrheic women are those whose period has not returned since the last birth in the three/five years preceding the survey.
Women are defined as being menopausal if they are not pregnant and not postpartum amenorrheic, are not currently using a contraceptive method, and have not had a period in the six months preceding the survey or report they are in menopause.
Women are defined as being infecund if they are not menopausal and not postpartum amenorrheic and not pregnant, have had no birth in the five years preceding the survey, and either (Model "A" countries) have been continuously married and have not used contraception in the five years preceding the survey, or (Model "B" countries) have been married one time and first married five or more years before the survey and have never used contraception.
Fecund women are all women not included in the preceding categories.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_EXPOSURE2" name="B_EXPOSURE2" files="B" intrvl="discrete">
  <labl>Fecund, pregnant, amenorrheic, or infecund (2nd def)</labl>
  <imputation>Fecund, pregnant, amenorrheic, or infecund (2nd def)</imputation>
  <security>Fecund, pregnant, amenorrheic, or infecund (2nd def)</security>
  <embargo>Fecund, pregnant, amenorrheic, or infecund (2nd def)</embargo>
  <respUnit>Fecund, pregnant, amenorrheic, or infecund (2nd def)</respUnit>
  <catgry>
    <labl>Fecund</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Pregnant</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Amenorrheic</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Infecund, menopausal</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>Like EXPOSURE1, EXPOSURE2 (V625) is a constructed variable that draws upon responses to several questions to distinguish between pregnant women, postpartum amenorrheic women, menopausal or infecund women, and fecund women. EXPOSURE2 uses a more liberal definition of infecundity than EXPOSURE1, however.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

The DHS Recode Manuals explain the differences between these two variables as follows:

For Model "B" countries, it is only possible to say that a woman had been continuously married throughout the preceding five years if she was in her first union. This definition has been relaxed in V625 [EXPOSURE2], such that the respondent need only have been married at least five years ago, and not continuously married throughout the last five years. For Model "A" countries, there is no change to this part of the definition.

[For EXPOSURE2] Two additional variables have been used to declare a woman infecund. If the respondent said that she cannot get pregnant when asked about preferences for additional children, or if she reported that she was menopausal or had a hysterectomy when giving the reason she was not currently using a contraceptive method, the respondent is coded as infecund.

Model A countries and Model B countries are defined according to whether the country based its questionnaire on the Model A or Model B standard DHS questionnaire for DHS phases one through four. In general, the Model A questionnaire was designed for use in countries with high contraceptive prevalence. Nonetheless, countries with relatively low contraceptive prevalence sometimes modeled their own questionnaire on the Model A standard questionnaire. This was the case, for example, for the Kenyan samples for 1998 and 2003 and the Malawi samples for 2000 and 2004.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPKNOTYP" name="B_FPKNOTYP" files="B" intrvl="discrete">
  <labl>Know any type of FP method</labl>
  <imputation>Know any type of FP method</imputation>
  <security>Know any type of FP method</security>
  <embargo>Know any type of FP method</embargo>
  <respUnit>Know any type of FP method</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Knows no method</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Knows only traditional or folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Knows only folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Knows only traditional method</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Knows modern method</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOTYP (V301) is a summary (recoded) variable indicating whether the woman knew any family planning method and, if so, whether she knew a modern method or only a traditional or folkloric method.  

In the DHS, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception.  

Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence.  Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet) that vary across samples.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPKNOPILL" name="B_FPKNOPILL" files="B" intrvl="discrete">
  <labl>Know about Pill for FP</labl>
  <imputation>Know about Pill for FP</imputation>
  <security>Know about Pill for FP</security>
  <embargo>Know about Pill for FP</embargo>
  <respUnit>Know about Pill for FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOPILL (V304_01) indicates whether the woman knew about the Pill as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPKNOIUD" name="B_FPKNOIUD" files="B" intrvl="discrete">
  <labl>Know about IUD for FP</labl>
  <imputation>Know about IUD for FP</imputation>
  <security>Know about IUD for FP</security>
  <embargo>Know about IUD for FP</embargo>
  <respUnit>Know about IUD for FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOIUD (V304_02) indicates whether the woman knew about the IUD (intra-uterine device) as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.  In probe questions, an IUD was often described as "a loop or coil placed inside them by a doctor or a nurse."</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPKNOINJ" name="B_FPKNOINJ" files="B" intrvl="discrete">
  <labl>Know about injectable FP</labl>
  <imputation>Know about injectable FP</imputation>
  <security>Know about injectable FP</security>
  <embargo>Know about injectable FP</embargo>
  <respUnit>Know about injectable FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOINJ (V304_03) indicates whether the woman knew about injectables as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability. For the probe question, injectables were typically defined as "an injection by a doctor or nurse, which stops them from becoming pregnant for several months."</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPKNODIA" name="B_FPKNODIA" files="B" intrvl="discrete">
  <labl>Know about diaphragm for  FP</labl>
  <imputation>Know about diaphragm for  FP</imputation>
  <security>Know about diaphragm for  FP</security>
  <embargo>Know about diaphragm for  FP</embargo>
  <respUnit>Know about diaphragm for  FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNODIA (V304_04) indicates whether the woman knew about the diaphragm or spermicides, such as a foam or jelly, as a method for family planning. Some phases combine diaphragm and spermicides in the response and some are separate; see Comparability. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPKNOCON" name="B_FPKNOCON" files="B" intrvl="discrete">
  <labl>Know about condom for FP</labl>
  <imputation>Know about condom for FP</imputation>
  <security>Know about condom for FP</security>
  <embargo>Know about condom for FP</embargo>
  <respUnit>Know about condom for FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOCON (V304_05) indicates whether the woman knew about male condoms as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPKNOFST" name="B_FPKNOFST" files="B" intrvl="discrete">
  <labl>Know about female sterilization for FP</labl>
  <imputation>Know about female sterilization for FP</imputation>
  <security>Know about female sterilization for FP</security>
  <embargo>Know about female sterilization for FP</embargo>
  <respUnit>Know about female sterilization for FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOFST (V304_06) indicates whether the woman knew about female sterilization as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPKNOMST" name="B_FPKNOMST" files="B" intrvl="discrete">
  <labl>Know about male sterilization for FP</labl>
  <imputation>Know about male sterilization for FP</imputation>
  <security>Know about male sterilization for FP</security>
  <embargo>Know about male sterilization for FP</embargo>
  <respUnit>Know about male sterilization for FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOMST (V304_07) indicates whether the woman knew about male sterilization as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPKNOWD" name="B_FPKNOWD" files="B" intrvl="discrete">
  <labl>Know about withdrawal for FP</labl>
  <imputation>Know about withdrawal for FP</imputation>
  <security>Know about withdrawal for FP</security>
  <embargo>Know about withdrawal for FP</embargo>
  <respUnit>Know about withdrawal for FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOWD (V304_09) indicates whether the woman knew about withdrawal as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPKNORHY" name="B_FPKNORHY" files="B" intrvl="discrete">
  <labl>Know about rhythm for FP</labl>
  <imputation>Know about rhythm for FP</imputation>
  <security>Know about rhythm for FP</security>
  <embargo>Know about rhythm for FP</embargo>
  <respUnit>Know about rhythm for FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNORHY (V304_08) indicates whether the woman knew about the rhythm method (periodic abstinence at the high-fertility part of the woman's menstrual cycle) as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPKNOCHARM" name="B_FPKNOCHARM" files="B" intrvl="discrete">
  <labl>Knows about charms or amulets as a method of family planning</labl>
  <imputation>Knows about charms or amulets as a method of family planning</imputation>
  <security>Knows about charms or amulets as a method of family planning</security>
  <embargo>Knows about charms or amulets as a method of family planning</embargo>
  <respUnit>Knows about charms or amulets as a method of family planning</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>FPKNOCHARM indicates whether the woman knew about using charms or amulets as a method for family planning. The complementary variable FPEVUSCHARM indicates whether the woman had ever used this method to delay or avoid a pregnancy. 

Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPKNORELIG" name="B_FPKNORELIG" files="B" intrvl="discrete">
  <labl>Knows about religion as a method of family planning</labl>
  <imputation>Knows about religion as a method of family planning</imputation>
  <security>Knows about religion as a method of family planning</security>
  <embargo>Knows about religion as a method of family planning</embargo>
  <respUnit>Knows about religion as a method of family planning</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>FPKNORELIG indicates whether the woman knew about using religion, such as a religious holy person or holy book, to delay or avoid a pregnancy. The complementary variable FPEVUSRELIG indicates whether the woman had ever used religion to delay or avoid a pregnancy. 

Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPKNOOM" name="B_FPKNOOM" files="B" intrvl="discrete">
  <labl>Knows about other contraceptive as a method of family planning</labl>
  <imputation>Knows about other contraceptive as a method of family planning</imputation>
  <security>Knows about other contraceptive as a method of family planning</security>
  <embargo>Knows about other contraceptive as a method of family planning</embargo>
  <respUnit>Knows about other contraceptive as a method of family planning</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOOM (V304_10) indicates whether the woman knew about any "other" method(s) as a method of family planning. The complementary variable FPEVUSOM indicates whether the woman had ever used any "other" method(s) to delay or avoid a pregnancy. The meaning of "other" in this case depends on the specific response categories included in a given sample. 

Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPKNOANYSRC" name="B_FPKNOANYSRC" files="B" intrvl="discrete">
  <labl>Known source for FP</labl>
  <imputation>Known source for FP</imputation>
  <security>Known source for FP</security>
  <embargo>Known source for FP</embargo>
  <respUnit>Known source for FP</respUnit>
  <qstn>
    <qstnLit>332) Do you know of a place where you can obtain a method of family planning?

YES 1
NO 2 (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>0000</catValu>
    <labl>No one/did not consult source</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>PUBLIC SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Government hospital</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>National/central hospital</labl>
  </catgry>
  <catgry>
    <catValu>1130</catValu>
    <labl>Regional/provincial hospital</labl>
  </catgry>
  <catgry>
    <catValu>1140</catValu>
    <labl>Urban hospital</labl>
  </catgry>
  <catgry>
    <catValu>1150</catValu>
    <labl>District/rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>1151</catValu>
    <labl>District hospital</labl>
  </catgry>
  <catgry>
    <catValu>1152</catValu>
    <labl>Rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>1160</catValu>
    <labl>University/teaching hospital</labl>
  </catgry>
  <catgry>
    <catValu>1161</catValu>
    <labl>University hospital</labl>
  </catgry>
  <catgry>
    <catValu>1162</catValu>
    <labl>Teaching hospital</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Government health center</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Referral health center</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Community health center</labl>
  </catgry>
  <catgry>
    <catValu>1230</catValu>
    <labl>Urban health center</labl>
  </catgry>
  <catgry>
    <catValu>1240</catValu>
    <labl>Rural health center</labl>
  </catgry>
  <catgry>
    <catValu>1250</catValu>
    <labl>Integrated health center</labl>
  </catgry>
  <catgry>
    <catValu>1260</catValu>
    <labl>Family welfare center</labl>
  </catgry>
  <catgry>
    <catValu>1270</catValu>
    <labl>Primary health center</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>Government pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>1310</catValu>
    <labl>Government pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>1320</catValu>
    <labl>Government dispensary</labl>
  </catgry>
  <catgry>
    <catValu>1400</catValu>
    <labl>Government maternity home</labl>
  </catgry>
  <catgry>
    <catValu>1410</catValu>
    <labl>Mother and child health (MCH) center</labl>
  </catgry>
  <catgry>
    <catValu>1420</catValu>
    <labl>Rural maternity clinic</labl>
  </catgry>
  <catgry>
    <catValu>1500</catValu>
    <labl>Government family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>1510</catValu>
    <labl>Stand-alone family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>1520</catValu>
    <labl>Mobile family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>1600</catValu>
    <labl>Government outreach</labl>
  </catgry>
  <catgry>
    <catValu>1610</catValu>
    <labl>Government health post</labl>
  </catgry>
  <catgry>
    <catValu>1611</catValu>
    <labl>Village health post</labl>
  </catgry>
  <catgry>
    <catValu>1620</catValu>
    <labl>Government mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>1630</catValu>
    <labl>Government health worker</labl>
  </catgry>
  <catgry>
    <catValu>1631</catValu>
    <labl>Fieldworker</labl>
  </catgry>
  <catgry>
    <catValu>1632</catValu>
    <labl>Community-based distribution agent (CBDA)</labl>
  </catgry>
  <catgry>
    <catValu>1633</catValu>
    <labl>Community/village health worker</labl>
  </catgry>
  <catgry>
    <catValu>1634</catValu>
    <labl>Health surveillance assistant (HSA)</labl>
  </catgry>
  <catgry>
    <catValu>1635</catValu>
    <labl>Paramedic</labl>
  </catgry>
  <catgry>
    <catValu>1636</catValu>
    <labl>Doctor</labl>
  </catgry>
  <catgry>
    <catValu>1637</catValu>
    <labl>Nurse</labl>
  </catgry>
  <catgry>
    <catValu>1900</catValu>
    <labl>Other public sector</labl>
  </catgry>
  <catgry>
    <catValu>1901</catValu>
    <labl>Camp</labl>
  </catgry>
  <catgry>
    <catValu>1902</catValu>
    <labl>Health box</labl>
  </catgry>
  <catgry>
    <catValu>1903</catValu>
    <labl>Health station/clinic</labl>
  </catgry>
  <catgry>
    <catValu>1904</catValu>
    <labl>Health office</labl>
  </catgry>
  <catgry>
    <catValu>1905</catValu>
    <labl>Community clinic</labl>
  </catgry>
  <catgry>
    <catValu>1906</catValu>
    <labl>Health insurance organization</labl>
  </catgry>
  <catgry>
    <catValu>1907</catValu>
    <labl>Curative care organization</labl>
  </catgry>
  <catgry>
    <catValu>1908</catValu>
    <labl>Parastatal health facility</labl>
  </catgry>
  <catgry>
    <catValu>1909</catValu>
    <labl>Female Community Health Volunteer Program (FCHV) of Nepal</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>PRIVATE MEDICAL SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Private hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Private hospital</labl>
  </catgry>
  <catgry>
    <catValu>2111</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>Private clinic</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Private doctor</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Qualified doctor</labl>
  </catgry>
  <catgry>
    <catValu>2220</catValu>
    <labl>Traditional doctor</labl>
  </catgry>
  <catgry>
    <catValu>2230</catValu>
    <labl>Doctor/birth attendant</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Private pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>2310</catValu>
    <labl>Private pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>2320</catValu>
    <labl>Private dispensary</labl>
  </catgry>
  <catgry>
    <catValu>2400</catValu>
    <labl>Private family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>2500</catValu>
    <labl>Private outreach</labl>
  </catgry>
  <catgry>
    <catValu>2510</catValu>
    <labl>Private mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>2520</catValu>
    <labl>Private health worker</labl>
  </catgry>
  <catgry>
    <catValu>2521</catValu>
    <labl>Fieldworker</labl>
  </catgry>
  <catgry>
    <catValu>2522</catValu>
    <labl>Community-based distribution agent (CBDA)</labl>
  </catgry>
  <catgry>
    <catValu>2523</catValu>
    <labl>Nurse</labl>
  </catgry>
  <catgry>
    <catValu>2524</catValu>
    <labl>Paramedic</labl>
  </catgry>
  <catgry>
    <catValu>2526</catValu>
    <labl>Community/village health worker</labl>
  </catgry>
  <catgry>
    <catValu>2527</catValu>
    <labl>Midwife</labl>
  </catgry>
  <catgry>
    <catValu>2600</catValu>
    <labl>Private health center</labl>
  </catgry>
  <catgry>
    <catValu>2610</catValu>
    <labl>VCT center</labl>
  </catgry>
  <catgry>
    <catValu>2700</catValu>
    <labl>Private maternity home</labl>
  </catgry>
  <catgry>
    <catValu>2900</catValu>
    <labl>Other private medical sector</labl>
  </catgry>
  <catgry>
    <catValu>2901</catValu>
    <labl>Care room</labl>
  </catgry>
  <catgry>
    <catValu>2902</catValu>
    <labl>Tent</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>NGO FACILITY</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>NGO health facility</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Static clinic</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Satellite clinic</labl>
  </catgry>
  <catgry>
    <catValu>3130</catValu>
    <labl>Community-based outlet</labl>
  </catgry>
  <catgry>
    <catValu>3140</catValu>
    <labl>UN Relief and Works Agency (UNRWA)</labl>
  </catgry>
  <catgry>
    <catValu>3150</catValu>
    <labl>International Rescue Committee (IRC)</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>NGO health worker</labl>
  </catgry>
  <catgry>
    <catValu>3210</catValu>
    <labl>Depot holder</labl>
  </catgry>
  <catgry>
    <catValu>3220</catValu>
    <labl>Fieldworker</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Country-specific NGOs</labl>
  </catgry>
  <catgry>
    <catValu>3301</catValu>
    <labl>AMO Congo</labl>
  </catgry>
  <catgry>
    <catValu>3302</catValu>
    <labl>Egypt family planning association (EFPA)</labl>
  </catgry>
  <catgry>
    <catValu>3303</catValu>
    <labl>CSI project</labl>
  </catgry>
  <catgry>
    <catValu>3304</catValu>
    <labl>Family Guidance Association of Ethiopia (FGAE)</labl>
  </catgry>
  <catgry>
    <catValu>3305</catValu>
    <labl>BLM</labl>
  </catgry>
  <catgry>
    <catValu>3306</catValu>
    <labl>MACRO</labl>
  </catgry>
  <catgry>
    <catValu>3307</catValu>
    <labl>Marie Stopes</labl>
  </catgry>
  <catgry>
    <catValu>3308</catValu>
    <labl>Red Cross Society</labl>
  </catgry>
  <catgry>
    <catValu>3309</catValu>
    <labl>AFGA</labl>
  </catgry>
  <catgry>
    <catValu>3310</catValu>
    <labl>Family Planning Association of Nepal (FPAN)</labl>
  </catgry>
  <catgry>
    <catValu>3311</catValu>
    <labl>Institute for Family Health (IFH)</labl>
  </catgry>
  <catgry>
    <catValu>3900</catValu>
    <labl>Other NGO facility</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>RELIGIOUS/MISSION</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>Religious hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>4110</catValu>
    <labl>Religious hospital</labl>
  </catgry>
  <catgry>
    <catValu>4111</catValu>
    <labl>Religious referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>4112</catValu>
    <labl>Religious district hospital</labl>
  </catgry>
  <catgry>
    <catValu>4120</catValu>
    <labl>Religious clinic</labl>
  </catgry>
  <catgry>
    <catValu>4200</catValu>
    <labl>Religious health center/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>4210</catValu>
    <labl>Religious health center</labl>
  </catgry>
  <catgry>
    <catValu>4211</catValu>
    <labl>Mosque health center</labl>
  </catgry>
  <catgry>
    <catValu>4212</catValu>
    <labl>Church health center</labl>
  </catgry>
  <catgry>
    <catValu>4220</catValu>
    <labl>Religious dispensary</labl>
  </catgry>
  <catgry>
    <catValu>4300</catValu>
    <labl>Religious mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>4400</catValu>
    <labl>Religious door-to-door</labl>
  </catgry>
  <catgry>
    <catValu>4900</catValu>
    <labl>Other religious</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Shop/market</labl>
  </catgry>
  <catgry>
    <catValu>5110</catValu>
    <labl>Shop</labl>
  </catgry>
  <catgry>
    <catValu>5111</catValu>
    <labl>General dealer</labl>
  </catgry>
  <catgry>
    <catValu>5112</catValu>
    <labl>Supermarket/tuck shop</labl>
  </catgry>
  <catgry>
    <catValu>5113</catValu>
    <labl>Service station</labl>
  </catgry>
  <catgry>
    <catValu>5120</catValu>
    <labl>Market</labl>
  </catgry>
  <catgry>
    <catValu>5130</catValu>
    <labl>Kiosk</labl>
  </catgry>
  <catgry>
    <catValu>5140</catValu>
    <labl>Gas station</labl>
  </catgry>
  <catgry>
    <catValu>5190</catValu>
    <labl>Other retail</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Relative/friend</labl>
  </catgry>
  <catgry>
    <catValu>5210</catValu>
    <labl>Partner</labl>
  </catgry>
  <catgry>
    <catValu>5300</catValu>
    <labl>Church/mosque/temple</labl>
  </catgry>
  <catgry>
    <catValu>5400</catValu>
    <labl>Bar/nightclub/hotel</labl>
  </catgry>
  <catgry>
    <catValu>5410</catValu>
    <labl>Bar/nightclub</labl>
  </catgry>
  <catgry>
    <catValu>5420</catValu>
    <labl>Hotel</labl>
  </catgry>
  <catgry>
    <catValu>5500</catValu>
    <labl>Other institutions</labl>
  </catgry>
  <catgry>
    <catValu>5510</catValu>
    <labl>Youth center</labl>
  </catgry>
  <catgry>
    <catValu>5520</catValu>
    <labl>Workplace</labl>
  </catgry>
  <catgry>
    <catValu>5521</catValu>
    <labl>Respondent's workplace</labl>
  </catgry>
  <catgry>
    <catValu>5522</catValu>
    <labl>Partner's workplace</labl>
  </catgry>
  <catgry>
    <catValu>5530</catValu>
    <labl>School</labl>
  </catgry>
  <catgry>
    <catValu>5600</catValu>
    <labl>Traditional practitioner</labl>
  </catgry>
  <catgry>
    <catValu>5610</catValu>
    <labl>Traditional birth attendant (TBA)</labl>
  </catgry>
  <catgry>
    <catValu>5620</catValu>
    <labl>Vaidya/hakim/homeopath</labl>
  </catgry>
  <catgry>
    <catValu>5700</catValu>
    <labl>Informal channels</labl>
  </catgry>
  <catgry>
    <catValu>5710</catValu>
    <labl>Drug vendor</labl>
  </catgry>
  <catgry>
    <catValu>9992</catValu>
    <labl>Not asked</labl>
  </catgry>
  <catgry>
    <catValu>9993</catValu>
    <labl>Non-user: Knows source</labl>
  </catgry>
  <catgry>
    <catValu>9994</catValu>
    <labl>Multiple responses given</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOANYSRC (V379) reports the source where the respondent knows contraceptives can be obtained. This variable is constructed from a series of questions. 

Because the questions used to construct this variable changed slightly across phases, IPUMS-DHS users are encouraged to review the Comparability tab.

The related variable FPKNOANYSRCS (V380) reports known sources for contraceptives, in standardized categories.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPKNOANYSRCS" name="B_FPKNOANYSRCS" files="B" intrvl="discrete">
  <labl>Known source for FP, standardized</labl>
  <imputation>Known source for FP, standardized</imputation>
  <security>Known source for FP, standardized</security>
  <embargo>Known source for FP, standardized</embargo>
  <respUnit>Known source for FP, standardized</respUnit>
  <qstn>
    <qstnLit>332) Do you know of a place where you can obtain a method of family planning?

YES 1
NO 2 (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Government clinic/pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Government home/community delivery</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>NGO</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Private clinic/delivery</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Private pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Church, shop, friends</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOANYSRCS (V380) reports the source from which the woman knows contraceptives can be obtained. This variable is constructed from a series of questions, and answers were recorded using standard responses and codes that are consistent across countries and phases. 

Because the questions used to construct this variable changed slightly across phases, IPUMS-DHS users are encouraged to review the Comparability tab.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPTYPNOW" name="B_FPTYPNOW" files="B" intrvl="discrete">
  <labl>Current FP use by method type (folk, traditional, modern)</labl>
  <imputation>Current FP use by method type (folk, traditional, modern)</imputation>
  <security>Current FP use by method type (folk, traditional, modern)</security>
  <embargo>Current FP use by method type (folk, traditional, modern)</embargo>
  <respUnit>Current FP use by method type (folk, traditional, modern)</respUnit>
  <qstn>
    <qstnLit>312) What method are you using?

312A) CIRCLE '06' FOR FEMALE STERILIZATION

PILL 01
IUD 02 (GO TO 318)
INJECTIONS 03 (GO TO 318)
DIAPHRAGM/FOAM/GEL 04 (GO TO 318)
CONDOM 05 (GO TO 318)
FEMALE STERILIZATION 06 (GO TO 318)
MALE STERILIZATION 07(GO TO 318)
PERIODIC ABSTINENCE 08 (GO TO 323)
WITHDRAWAL 09 (GO TO 323)
GRIS-GRIS 10 (GO TO 323)
OTHER (SPECIFY): ___ 11 (GO TO 323)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No method</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Folkloric or traditional method</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPNOW (V313) indicates whether the woman is currently using a modern, traditional, or folkloric method of contraception.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

In the DHS, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPUSPATRN" name="B_FPUSPATRN" files="B" intrvl="discrete">
  <labl>Pattern of use of contraceptive method</labl>
  <imputation>Pattern of use of contraceptive method</imputation>
  <security>Pattern of use of contraceptive method</security>
  <embargo>Pattern of use of contraceptive method</embargo>
  <respUnit>Pattern of use of contraceptive method</respUnit>
  <qstn>
    <qstnLit>311) Are you currently doing something or using a method to avoid pregnancy?

YES 1
NO 2 (GO TO 326)</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Currently using</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Ever used, but not currently using</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Used since last birth</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Used before last birth</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Never used</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPUSPATRN (V361) reports the woman's pattern of contraceptive use by indicating whether she is currently using, has used in the past, or has never used contraception.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPMETHNOW" name="B_FPMETHNOW" files="B" intrvl="discrete">
  <labl>Current method of FP</labl>
  <imputation>Current method of FP</imputation>
  <security>Current method of FP</security>
  <embargo>Current method of FP</embargo>
  <respUnit>Current method of FP</respUnit>
  <qstn>
    <qstnLit>312) What method are you using?

312A) CIRCLE '06' FOR FEMALE STERILIZATION

PILL 01
IUD 02 (GO TO 318)
INJECTIONS 03 (GO TO 318)
DIAPHRAGM/FOAM/GEL 04 (GO TO 318)
CONDOM 05 (GO TO 318)
FEMALE STERILIZATION 06 (GO TO 318)
MALE STERILIZATION 07(GO TO 318)
PERIODIC ABSTINENCE 08 (GO TO 323)
WITHDRAWAL 09 (GO TO 323)
GRIS-GRIS 10 (GO TO 323)
OTHER (SPECIFY): ___ 11 (GO TO 323)</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
    <labl>Not using</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>MODERN METHODS</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>Pill</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>IUD</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>Norplant/Implants</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>Condom</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>Female Condom</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>Female Sterilization</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>Male Sterilization</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>Injections</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>Injection (3 monthly)</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>Injection (monthly)</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Diaphragm/Foam/Jelly</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>Diaphragm</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>Diaphragm/Foam</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>Diaphragm/Jelly</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>Foam or Jelly</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>Foaming tablets</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>Vaginal methods</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>Lactational amenorrhea (LAM)</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>Prolonged breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>Emergency contraception</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>Other modern method</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>Contraceptive patch</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>TRADITIONAL METHODS</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Abstinence or periodic abstinence</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>Periodic abstinence</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>Cycle Beads/Standard days method</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>Abstinence</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>Mucus method</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>Natural family planning, unspecified</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>Withdrawal</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>Other traditional/folkloric</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>Herbs/Plants</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>Gris-Gris/Amulet</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>Astrology</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>Strings</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>OTHER METHOD, UNSPECIFIED</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>Other specific method 1</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>Other specific method 2</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>Other specific method 3</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>Other specific method 4</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPMETHNOW (V312) reports the contraceptive method the woman is currently using.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

Answers are grouped under the broad categories of "modern methods," "traditional methods," and "other methods," each with a different first digit. Specific methods are distinguished by the second and third digits. See FPEVUSE for more information on broad categories of contraception.

Closely related responses, such as various groupings of diaphragm/foam/jelly, share the first 2 digits in common, while the third digit distinguishes the exact response category.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPCURNOMO" name="B_FPCURNOMO" files="B" intrvl="discrete">
  <labl>Months of use of current family planning method</labl>
  <imputation>Months of use of current family planning method</imputation>
  <security>Months of use of current family planning method</security>
  <embargo>Months of use of current family planning method</embargo>
  <respUnit>Months of use of current family planning method</respUnit>
  <qstn>
    <qstnLit>323) For how many months have you been using (CURRENT METHOD) continuously?

IF LESS THAN A MONTH, RECORD '00'.

MONTHS: ___
8 YEARS OR MORE 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>001</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>002</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>003</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>004</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>005</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>006</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>007</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>008</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>009</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>010</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>011</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>012</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>013</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>014</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>015</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>016</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>017</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>018</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>019</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>020</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>021</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>022</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>023</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>024</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>025</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>026</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>027</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>028</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>029</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>030</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>031</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>032</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>033</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>034</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>035</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>036</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>037</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>038</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>039</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>040</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>041</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>042</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>043</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>044</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>045</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>046</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>047</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>048</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>049</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>050</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>051</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>052</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>053</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>054</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>055</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>056</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>057</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>058</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>059</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>060</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>061</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>062</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>063</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>064</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>065</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>066</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>067</catValu>
    <labl>67 months</labl>
  </catgry>
  <catgry>
    <catValu>068</catValu>
    <labl>68 months</labl>
  </catgry>
  <catgry>
    <catValu>069</catValu>
    <labl>69 months</labl>
  </catgry>
  <catgry>
    <catValu>070</catValu>
    <labl>70 months</labl>
  </catgry>
  <catgry>
    <catValu>071</catValu>
    <labl>71 months</labl>
  </catgry>
  <catgry>
    <catValu>072</catValu>
    <labl>72 months</labl>
  </catgry>
  <catgry>
    <catValu>073</catValu>
    <labl>73 months</labl>
  </catgry>
  <catgry>
    <catValu>074</catValu>
    <labl>74 months</labl>
  </catgry>
  <catgry>
    <catValu>075</catValu>
    <labl>75 months</labl>
  </catgry>
  <catgry>
    <catValu>076</catValu>
    <labl>76 months</labl>
  </catgry>
  <catgry>
    <catValu>077</catValu>
    <labl>77 months</labl>
  </catgry>
  <catgry>
    <catValu>078</catValu>
    <labl>78 months</labl>
  </catgry>
  <catgry>
    <catValu>079</catValu>
    <labl>79 months</labl>
  </catgry>
  <catgry>
    <catValu>080</catValu>
    <labl>80 months</labl>
  </catgry>
  <catgry>
    <catValu>081</catValu>
    <labl>81 months</labl>
  </catgry>
  <catgry>
    <catValu>082</catValu>
    <labl>82 months</labl>
  </catgry>
  <catgry>
    <catValu>083</catValu>
    <labl>83 months</labl>
  </catgry>
  <catgry>
    <catValu>084</catValu>
    <labl>84 months</labl>
  </catgry>
  <catgry>
    <catValu>085</catValu>
    <labl>85 months</labl>
  </catgry>
  <catgry>
    <catValu>086</catValu>
    <labl>86 months</labl>
  </catgry>
  <catgry>
    <catValu>087</catValu>
    <labl>87 months</labl>
  </catgry>
  <catgry>
    <catValu>088</catValu>
    <labl>88 months</labl>
  </catgry>
  <catgry>
    <catValu>089</catValu>
    <labl>89 months</labl>
  </catgry>
  <catgry>
    <catValu>090</catValu>
    <labl>90 months</labl>
  </catgry>
  <catgry>
    <catValu>091</catValu>
    <labl>91 months</labl>
  </catgry>
  <catgry>
    <catValu>092</catValu>
    <labl>92 months</labl>
  </catgry>
  <catgry>
    <catValu>093</catValu>
    <labl>93 months</labl>
  </catgry>
  <catgry>
    <catValu>094</catValu>
    <labl>94 months</labl>
  </catgry>
  <catgry>
    <catValu>095</catValu>
    <labl>95 months</labl>
  </catgry>
  <catgry>
    <catValu>096</catValu>
    <labl>96 or more months</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>All calendar years</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent response</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are currently using a contraceptive method, FPCURNOMO (V337) reports the number of months they have been continuously using their current method.

Starting in Phase II, there are differences in the way these data are reported between Model "A" and Model "B" countries, due to the inclusion of a detailed calendar of events in the five years preceding the interview in Model "A" questionnaires. For Model "B" questionnaires, any response greater than 8 years is topcoded at "96." However, for Model "A" questionnaires, the maximum duration of use that could be recorded is the entire length of the calendar (i.e., 5 years).</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPLASTSRCD" name="B_FPLASTSRCD" files="B" intrvl="discrete">
  <labl>Last source for FP for current users, detailed</labl>
  <imputation>Last source for FP for current users, detailed</imputation>
  <security>Last source for FP for current users, detailed</security>
  <embargo>Last source for FP for current users, detailed</embargo>
  <respUnit>Last source for FP for current users, detailed</respUnit>
  <qstn>
    <qstnLit>318) CHECK 312:

HE/SHE IS STERILIZED: Where did the sterilization take place?

USES ANOTHER METHOD: Where did you obtain (METHOD) the last time?

NAME OF PLACE: ___

PUBLIC SECTOR

HOSPITAL 11
MEDICAL CENTER 12
FAMILY HEALTH CENTER 13
MOTHER AND CHILD CARE CENTER 14
DISPENSARY 15
MATERNITY WARD 16
PEOPLE'S PHARMACY 17

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE 21
CLINIC/HOSPITAL 22
PHARMACY 23

OTHER PRIVATE SECTOR

RELATIVE 31 (GO TO 321)
NEIGHBOR 32 (GO TO 321)

OTHER (SPECIFY): ___ 41(GO TO 321)
DON'T KNOW 98 (GO TO 321)</qstnLit>
  </qstn>
  <catgry>
    <catValu>6903</catValu>
    <labl>Community center</labl>
  </catgry>
  <catgry>
    <catValu>3306</catValu>
    <labl>Institute for Family Health (IFH)</labl>
  </catgry>
  <catgry>
    <catValu>3180</catValu>
    <labl>International Rescue Committee (IRC)</labl>
  </catgry>
  <catgry>
    <catValu>0000</catValu>
    <labl>NO ONE</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>PUBLIC SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Government hospital</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>National hospital</labl>
  </catgry>
  <catgry>
    <catValu>1111</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>1112</catValu>
    <labl>National/central hospital</labl>
  </catgry>
  <catgry>
    <catValu>1113</catValu>
    <labl>Military hospital</labl>
  </catgry>
  <catgry>
    <catValu>1114</catValu>
    <labl>Day hospital</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>Provincial/regional hospital</labl>
  </catgry>
  <catgry>
    <catValu>1130</catValu>
    <labl>Urban hospital</labl>
  </catgry>
  <catgry>
    <catValu>1140</catValu>
    <labl>District/rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>1141</catValu>
    <labl>District hospital</labl>
  </catgry>
  <catgry>
    <catValu>1142</catValu>
    <labl>Rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>1150</catValu>
    <labl>Category I hospital</labl>
  </catgry>
  <catgry>
    <catValu>1160</catValu>
    <labl>Category II hospital</labl>
  </catgry>
  <catgry>
    <catValu>1170</catValu>
    <labl>University/teaching hospital</labl>
  </catgry>
  <catgry>
    <catValu>1171</catValu>
    <labl>University hospital</labl>
  </catgry>
  <catgry>
    <catValu>1172</catValu>
    <labl>Teaching hospital</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Government health center</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Referral health center</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Community health center</labl>
  </catgry>
  <catgry>
    <catValu>1230</catValu>
    <labl>Urban health center</labl>
  </catgry>
  <catgry>
    <catValu>1240</catValu>
    <labl>Rural health center</labl>
  </catgry>
  <catgry>
    <catValu>1250</catValu>
    <labl>Basic health center</labl>
  </catgry>
  <catgry>
    <catValu>1260</catValu>
    <labl>Integrated health center</labl>
  </catgry>
  <catgry>
    <catValu>1270</catValu>
    <labl>Primary health center</labl>
  </catgry>
  <catgry>
    <catValu>1280</catValu>
    <labl>Family welfare center</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>Government family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>1310</catValu>
    <labl>Stand-alone family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>1320</catValu>
    <labl>Mobile family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>1330</catValu>
    <labl>Family planning clinic CBD</labl>
  </catgry>
  <catgry>
    <catValu>1400</catValu>
    <labl>Government outreach</labl>
  </catgry>
  <catgry>
    <catValu>1410</catValu>
    <labl>Government health post</labl>
  </catgry>
  <catgry>
    <catValu>1411</catValu>
    <labl>Village health post</labl>
  </catgry>
  <catgry>
    <catValu>1412</catValu>
    <labl>Sub-center</labl>
  </catgry>
  <catgry>
    <catValu>1413</catValu>
    <labl>Sub-health post</labl>
  </catgry>
  <catgry>
    <catValu>1420</catValu>
    <labl>Government mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>1421</catValu>
    <labl>Mobile PHC clinic</labl>
  </catgry>
  <catgry>
    <catValu>1430</catValu>
    <labl>Government health professional</labl>
  </catgry>
  <catgry>
    <catValu>1431</catValu>
    <labl>Doctor</labl>
  </catgry>
  <catgry>
    <catValu>1432</catValu>
    <labl>Nurse</labl>
  </catgry>
  <catgry>
    <catValu>1433</catValu>
    <labl>Paramedic</labl>
  </catgry>
  <catgry>
    <catValu>1440</catValu>
    <labl>Government health worker</labl>
  </catgry>
  <catgry>
    <catValu>1434</catValu>
    <labl>Community-based distributor (CBD)</labl>
  </catgry>
  <catgry>
    <catValu>1435</catValu>
    <labl>Health surveillance assistant (HSA)</labl>
  </catgry>
  <catgry>
    <catValu>1436</catValu>
    <labl>Male mobilizer</labl>
  </catgry>
  <catgry>
    <catValu>1437</catValu>
    <labl>Accredited social health activist (ASHA)</labl>
  </catgry>
  <catgry>
    <catValu>1438</catValu>
    <labl>Vaidya/hakim/homeopath</labl>
  </catgry>
  <catgry>
    <catValu>1450</catValu>
    <labl>Government outreach clinic</labl>
  </catgry>
  <catgry>
    <catValu>1451</catValu>
    <labl>Primary health care outreach clinic</labl>
  </catgry>
  <catgry>
    <catValu>1452</catValu>
    <labl>Satellite clinic/EPI outreach</labl>
  </catgry>
  <catgry>
    <catValu>1453</catValu>
    <labl>Community clinic</labl>
  </catgry>
  <catgry>
    <catValu>1454</catValu>
    <labl>Rural/municipal clinic</labl>
  </catgry>
  <catgry>
    <catValu>1460</catValu>
    <labl>Camp</labl>
  </catgry>
  <catgry>
    <catValu>1470</catValu>
    <labl>Household visit</labl>
  </catgry>
  <catgry>
    <catValu>1500</catValu>
    <labl>Government maternity home</labl>
  </catgry>
  <catgry>
    <catValu>1510</catValu>
    <labl>Maternal and child health (MCH) center</labl>
  </catgry>
  <catgry>
    <catValu>1520</catValu>
    <labl>Rural maternity</labl>
  </catgry>
  <catgry>
    <catValu>1530</catValu>
    <labl>Anganwadi/ICDS center</labl>
  </catgry>
  <catgry>
    <catValu>1600</catValu>
    <labl>Government pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>1610</catValu>
    <labl>Government pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>1611</catValu>
    <labl>Community pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>1620</catValu>
    <labl>Government dispensary</labl>
  </catgry>
  <catgry>
    <catValu>1900</catValu>
    <labl>Other public</labl>
  </catgry>
  <catgry>
    <catValu>1901</catValu>
    <labl>Clinic</labl>
  </catgry>
  <catgry>
    <catValu>1902</catValu>
    <labl>Curative care organization</labl>
  </catgry>
  <catgry>
    <catValu>1903</catValu>
    <labl>Health home</labl>
  </catgry>
  <catgry>
    <catValu>1904</catValu>
    <labl>Health office</labl>
  </catgry>
  <catgry>
    <catValu>1905</catValu>
    <labl>Health insurance organization</labl>
  </catgry>
  <catgry>
    <catValu>1906</catValu>
    <labl>Parastatal health facility</labl>
  </catgry>
  <catgry>
    <catValu>1907</catValu>
    <labl>Youth center</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>PRIVATE MEDICAL SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Private hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Private hospital</labl>
  </catgry>
  <catgry>
    <catValu>2111</catValu>
    <labl>Private specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>2112</catValu>
    <labl>Private district hospital</labl>
  </catgry>
  <catgry>
    <catValu>2113</catValu>
    <labl>Private university hospital</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>Private clinic</labl>
  </catgry>
  <catgry>
    <catValu>2121</catValu>
    <labl>Private polyclinic</labl>
  </catgry>
  <catgry>
    <catValu>2122</catValu>
    <labl>Private clinic</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Private pharmacy/dispensary/drug store</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Private pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>2220</catValu>
    <labl>Private dispensary</labl>
  </catgry>
  <catgry>
    <catValu>2230</catValu>
    <labl>Private chemist/drug store</labl>
  </catgry>
  <catgry>
    <catValu>2231</catValu>
    <labl>Private chemist</labl>
  </catgry>
  <catgry>
    <catValu>2232</catValu>
    <labl>Private drug store</labl>
  </catgry>
  <catgry>
    <catValu>2240</catValu>
    <labl>Private mobile drug vendor</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Private doctor's office</labl>
  </catgry>
  <catgry>
    <catValu>2310</catValu>
    <labl>Qualified doctor</labl>
  </catgry>
  <catgry>
    <catValu>2320</catValu>
    <labl>Traditional/unqualified doctor</labl>
  </catgry>
  <catgry>
    <catValu>2330</catValu>
    <labl>Private practice</labl>
  </catgry>
  <catgry>
    <catValu>2331</catValu>
    <labl>Private care room</labl>
  </catgry>
  <catgry>
    <catValu>2332</catValu>
    <labl>Private infirmiry</labl>
  </catgry>
  <catgry>
    <catValu>2400</catValu>
    <labl>Private outreach</labl>
  </catgry>
  <catgry>
    <catValu>2410</catValu>
    <labl>Private mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>2420</catValu>
    <labl>Private health worker</labl>
  </catgry>
  <catgry>
    <catValu>2421</catValu>
    <labl>Private field worker</labl>
  </catgry>
  <catgry>
    <catValu>2422</catValu>
    <labl>Private community/village health worker</labl>
  </catgry>
  <catgry>
    <catValu>2423</catValu>
    <labl>Private community-based distributor</labl>
  </catgry>
  <catgry>
    <catValu>2424</catValu>
    <labl>Private paramedic</labl>
  </catgry>
  <catgry>
    <catValu>2425</catValu>
    <labl>Private hakim/homeopath</labl>
  </catgry>
  <catgry>
    <catValu>2426</catValu>
    <labl>Private traditional healer</labl>
  </catgry>
  <catgry>
    <catValu>2427</catValu>
    <labl>Private traditional birth attendant (TBA)</labl>
  </catgry>
  <catgry>
    <catValu>2428</catValu>
    <labl>Private nurse</labl>
  </catgry>
  <catgry>
    <catValu>2500</catValu>
    <labl>Private health center</labl>
  </catgry>
  <catgry>
    <catValu>2600</catValu>
    <labl>Private family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>2610</catValu>
    <labl>Injectables outlet</labl>
  </catgry>
  <catgry>
    <catValu>2700</catValu>
    <labl>Private maternity home</labl>
  </catgry>
  <catgry>
    <catValu>2900</catValu>
    <labl>Other private medical</labl>
  </catgry>
  <catgry>
    <catValu>2901</catValu>
    <labl>Tent</labl>
  </catgry>
  <catgry>
    <catValu>2902</catValu>
    <labl>VCT center</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>NGO SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>NGO health facility</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Static clinic</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Satellite clinic</labl>
  </catgry>
  <catgry>
    <catValu>3130</catValu>
    <labl>Marie Stopes facility</labl>
  </catgry>
  <catgry>
    <catValu>3131</catValu>
    <labl>Banja la Mtsogolo (BLM)</labl>
  </catgry>
  <catgry>
    <catValu>3140</catValu>
    <labl>Red Cross facility</labl>
  </catgry>
  <catgry>
    <catValu>3150</catValu>
    <labl>UN Relief and Works Agency facility</labl>
  </catgry>
  <catgry>
    <catValu>3160</catValu>
    <labl>Adventist Development and Relief Agency (ADRA)</labl>
  </catgry>
  <catgry>
    <catValu>3170</catValu>
    <labl>Population Services International (PSI)</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>NGO health worker</labl>
  </catgry>
  <catgry>
    <catValu>3210</catValu>
    <labl>Depot holder</labl>
  </catgry>
  <catgry>
    <catValu>3220</catValu>
    <labl>Field worker</labl>
  </catgry>
  <catgry>
    <catValu>3230</catValu>
    <labl>Community-based distributor</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Country-specific NGO</labl>
  </catgry>
  <catgry>
    <catValu>3301</catValu>
    <labl>Amo-Congo</labl>
  </catgry>
  <catgry>
    <catValu>3302</catValu>
    <labl>Clinical Services Improvement (CSI)</labl>
  </catgry>
  <catgry>
    <catValu>3303</catValu>
    <labl>Malawi AIDS Counselling and Resource Organization (MACRO)</labl>
  </catgry>
  <catgry>
    <catValu>3304</catValu>
    <labl>Myanmar Medical Association (MMA)</labl>
  </catgry>
  <catgry>
    <catValu>3305</catValu>
    <labl>United Mission to Nepal (UMN)</labl>
  </catgry>
  <catgry>
    <catValu>3900</catValu>
    <labl>Other NGO</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>RELIGIOUS/MISSION</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>Religious hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>4110</catValu>
    <labl>Religious hospital</labl>
  </catgry>
  <catgry>
    <catValu>4111</catValu>
    <labl>Religious referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>4112</catValu>
    <labl>Religious district hospital</labl>
  </catgry>
  <catgry>
    <catValu>4120</catValu>
    <labl>Religious clinic</labl>
  </catgry>
  <catgry>
    <catValu>4200</catValu>
    <labl>Religious health center/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>4210</catValu>
    <labl>Religious health center</labl>
  </catgry>
  <catgry>
    <catValu>4211</catValu>
    <labl>Mosque health center</labl>
  </catgry>
  <catgry>
    <catValu>4212</catValu>
    <labl>Church health center</labl>
  </catgry>
  <catgry>
    <catValu>4220</catValu>
    <labl>Religious dispensary</labl>
  </catgry>
  <catgry>
    <catValu>4300</catValu>
    <labl>Religious outreach</labl>
  </catgry>
  <catgry>
    <catValu>4310</catValu>
    <labl>Religious health post</labl>
  </catgry>
  <catgry>
    <catValu>4320</catValu>
    <labl>Religious mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>4330</catValu>
    <labl>Religious health worker</labl>
  </catgry>
  <catgry>
    <catValu>4331</catValu>
    <labl>Religious field worker</labl>
  </catgry>
  <catgry>
    <catValu>4900</catValu>
    <labl>Other religious</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>UNSPECIFIED MEDICAL SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>5110</catValu>
    <labl>Pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>5120</catValu>
    <labl>Dispensary</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Outreach</labl>
  </catgry>
  <catgry>
    <catValu>5210</catValu>
    <labl>Mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>5220</catValu>
    <labl>Health worker</labl>
  </catgry>
  <catgry>
    <catValu>5221</catValu>
    <labl>Field worker</labl>
  </catgry>
  <catgry>
    <catValu>5222</catValu>
    <labl>Traditional healer</labl>
  </catgry>
  <catgry>
    <catValu>5223</catValu>
    <labl>Health educator</labl>
  </catgry>
  <catgry>
    <catValu>5224</catValu>
    <labl>Peer educators</labl>
  </catgry>
  <catgry>
    <catValu>5230</catValu>
    <labl>Outreach clinic</labl>
  </catgry>
  <catgry>
    <catValu>5900</catValu>
    <labl>Other unspecified medical sector</labl>
  </catgry>
  <catgry>
    <catValu>5901</catValu>
    <labl>Media campaign</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>6100</catValu>
    <labl>Shop/market</labl>
  </catgry>
  <catgry>
    <catValu>6110</catValu>
    <labl>Shop</labl>
  </catgry>
  <catgry>
    <catValu>6111</catValu>
    <labl>General dealer</labl>
  </catgry>
  <catgry>
    <catValu>6112</catValu>
    <labl>Supermarket/tuck shop</labl>
  </catgry>
  <catgry>
    <catValu>6113</catValu>
    <labl>Supermarket</labl>
  </catgry>
  <catgry>
    <catValu>6114</catValu>
    <labl>Tuck shop</labl>
  </catgry>
  <catgry>
    <catValu>6120</catValu>
    <labl>Market</labl>
  </catgry>
  <catgry>
    <catValu>6130</catValu>
    <labl>Kiosk</labl>
  </catgry>
  <catgry>
    <catValu>6140</catValu>
    <labl>Gas station</labl>
  </catgry>
  <catgry>
    <catValu>6150</catValu>
    <labl>Other retail</labl>
  </catgry>
  <catgry>
    <catValu>6200</catValu>
    <labl>Church/mosque</labl>
  </catgry>
  <catgry>
    <catValu>6300</catValu>
    <labl>Friend/relative</labl>
  </catgry>
  <catgry>
    <catValu>6310</catValu>
    <labl>Friend</labl>
  </catgry>
  <catgry>
    <catValu>6320</catValu>
    <labl>Relative</labl>
  </catgry>
  <catgry>
    <catValu>6321</catValu>
    <labl>Partner</labl>
  </catgry>
  <catgry>
    <catValu>6400</catValu>
    <labl>Bar/nightclub/hotel</labl>
  </catgry>
  <catgry>
    <catValu>6410</catValu>
    <labl>Bar/nightclub</labl>
  </catgry>
  <catgry>
    <catValu>6411</catValu>
    <labl>Bar</labl>
  </catgry>
  <catgry>
    <catValu>6420</catValu>
    <labl>Hotel</labl>
  </catgry>
  <catgry>
    <catValu>6500</catValu>
    <labl>Workplace</labl>
  </catgry>
  <catgry>
    <catValu>6510</catValu>
    <labl>Respondent's workplace</labl>
  </catgry>
  <catgry>
    <catValu>6520</catValu>
    <labl>Partner's workplace</labl>
  </catgry>
  <catgry>
    <catValu>6600</catValu>
    <labl>Informal channels</labl>
  </catgry>
  <catgry>
    <catValu>6610</catValu>
    <labl>Drug vendor</labl>
  </catgry>
  <catgry>
    <catValu>6620</catValu>
    <labl>Support group</labl>
  </catgry>
  <catgry>
    <catValu>6630</catValu>
    <labl>Women's sittings</labl>
  </catgry>
  <catgry>
    <catValu>6700</catValu>
    <labl>Location for adolescents</labl>
  </catgry>
  <catgry>
    <catValu>6710</catValu>
    <labl>Youth center</labl>
  </catgry>
  <catgry>
    <catValu>6720</catValu>
    <labl>School</labl>
  </catgry>
  <catgry>
    <catValu>6900</catValu>
    <labl>Other facility</labl>
  </catgry>
  <catgry>
    <catValu>6901</catValu>
    <labl>Refugee camp</labl>
  </catgry>
  <catgry>
    <catValu>6902</catValu>
    <labl>Charity/foundation</labl>
  </catgry>
  <catgry>
    <catValu>9994</catValu>
    <labl>Abroad</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are currently using a modern method of contraception, FPLASTSRCD (V326) reports the type of facility that was the source of the last contraceptive method used by the woman. Response categories vary across samples. See Comparability.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPLASTSRCS" name="B_FPLASTSRCS" files="B" intrvl="discrete">
  <labl>Last source for FP for current users, standardized</labl>
  <imputation>Last source for FP for current users, standardized</imputation>
  <security>Last source for FP for current users, standardized</security>
  <embargo>Last source for FP for current users, standardized</embargo>
  <respUnit>Last source for FP for current users, standardized</respUnit>
  <qstn>
    <qstnLit>318) CHECK 312:

HE/SHE IS STERILIZED: Where did the sterilization take place?

USES ANOTHER METHOD: Where did you obtain (METHOD) the last time?

NAME OF PLACE: ___

PUBLIC SECTOR

HOSPITAL 11
MEDICAL CENTER 12
FAMILY HEALTH CENTER 13
MOTHER AND CHILD CARE CENTER 14
DISPENSARY 15
MATERNITY WARD 16
PEOPLE'S PHARMACY 17

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE 21
CLINIC/HOSPITAL 22
PHARMACY 23

OTHER PRIVATE SECTOR

RELATIVE 31 (GO TO 321)
NEIGHBOR 32 (GO TO 321)

OTHER (SPECIFY): ___ 41(GO TO 321)
DON'T KNOW 98 (GO TO 321)</qstnLit>
  </qstn>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Church, Shop, friends, books</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Private Pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Private Clin/Deliv</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>NGO</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Govt Home/Comm delivery</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Govt Clinic/Pharm</labl>
  </catgry>
  <txt>For women using a modern method of contraception, FPLASTSRCS (V327) reports the type of facility that was the source of the last contraceptive method used by the woman. This variable was constructed by recoding country-specific responses into a few standard categories that are consistent across samples.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPSRCEASE" name="B_FPSRCEASE" files="B" intrvl="discrete">
  <labl>Easy or difficult to get to FP source</labl>
  <imputation>Easy or difficult to get to FP source</imputation>
  <security>Easy or difficult to get to FP source</security>
  <embargo>Easy or difficult to get to FP source</embargo>
  <respUnit>Easy or difficult to get to FP source</respUnit>
  <qstn>
    <qstnLit>335) Is it easy or difficult to get there?

EASY 1
DIFFICULT 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Easy</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Difficult</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (Not in universe)</labl>
  </catgry>
  <txt>For women who know of a source where family planning can be obtained, FPSRCEASE (V383) indicates whether it is easy or difficult to get there.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPSRCTIME" name="B_FPSRCTIME" files="B" intrvl="discrete">
  <labl>Time to get to FP source</labl>
  <imputation>Time to get to FP source</imputation>
  <security>Time to get to FP source</security>
  <embargo>Time to get to FP source</embargo>
  <respUnit>Time to get to FP source</respUnit>
  <qstn>
    <qstnLit>334) How long does it take to travel to your home to this place?
IF LESS THAN 2 HOURS, RECORD MINUTES. OTHERWISE, RECORD HOURS.

MINUTES: ___ 1
HOURS: ___ 2
DON'T KNOW 9998</qstnLit>
  </qstn>
  <catgry>
    <catValu>1000</catValu>
    <labl>Less than 1 minute</labl>
  </catgry>
  <catgry>
    <catValu>1001</catValu>
    <labl>1 minute</labl>
  </catgry>
  <catgry>
    <catValu>1002</catValu>
    <labl>2 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1003</catValu>
    <labl>3 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1004</catValu>
    <labl>4 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1005</catValu>
    <labl>5 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1006</catValu>
    <labl>6 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1007</catValu>
    <labl>7 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1008</catValu>
    <labl>8 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1009</catValu>
    <labl>9 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1010</catValu>
    <labl>10 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1011</catValu>
    <labl>11 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1012</catValu>
    <labl>12 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1013</catValu>
    <labl>13 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1014</catValu>
    <labl>14 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1015</catValu>
    <labl>15 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1016</catValu>
    <labl>16 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1017</catValu>
    <labl>17 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1018</catValu>
    <labl>18 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1019</catValu>
    <labl>19 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1020</catValu>
    <labl>20 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1021</catValu>
    <labl>21 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1022</catValu>
    <labl>22 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1023</catValu>
    <labl>23 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1024</catValu>
    <labl>24 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1025</catValu>
    <labl>25 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1026</catValu>
    <labl>26 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1027</catValu>
    <labl>27 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1028</catValu>
    <labl>28 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1029</catValu>
    <labl>29 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1030</catValu>
    <labl>30 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1031</catValu>
    <labl>31 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1032</catValu>
    <labl>32 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1033</catValu>
    <labl>33 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1034</catValu>
    <labl>34 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1035</catValu>
    <labl>35 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1036</catValu>
    <labl>36 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1037</catValu>
    <labl>37 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1038</catValu>
    <labl>38 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1039</catValu>
    <labl>39 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1040</catValu>
    <labl>40 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1041</catValu>
    <labl>41 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1042</catValu>
    <labl>42 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1043</catValu>
    <labl>43 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1044</catValu>
    <labl>44 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1045</catValu>
    <labl>45 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1046</catValu>
    <labl>46 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1047</catValu>
    <labl>47 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1048</catValu>
    <labl>48 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1049</catValu>
    <labl>49 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1050</catValu>
    <labl>50 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1051</catValu>
    <labl>51 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1052</catValu>
    <labl>52 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1053</catValu>
    <labl>53 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1054</catValu>
    <labl>54 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1055</catValu>
    <labl>55 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1056</catValu>
    <labl>56 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1057</catValu>
    <labl>57 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1058</catValu>
    <labl>58 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1059</catValu>
    <labl>59 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1060</catValu>
    <labl>60 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1061</catValu>
    <labl>61 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1062</catValu>
    <labl>62 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1063</catValu>
    <labl>63 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1064</catValu>
    <labl>64 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1065</catValu>
    <labl>65 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1066</catValu>
    <labl>66 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1067</catValu>
    <labl>67 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1068</catValu>
    <labl>68 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1069</catValu>
    <labl>69 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1070</catValu>
    <labl>70 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1071</catValu>
    <labl>71 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1072</catValu>
    <labl>72 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1073</catValu>
    <labl>73 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1074</catValu>
    <labl>74 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1075</catValu>
    <labl>75 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1076</catValu>
    <labl>76 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1077</catValu>
    <labl>77 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1078</catValu>
    <labl>78 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1079</catValu>
    <labl>79 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1080</catValu>
    <labl>80 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1081</catValu>
    <labl>81 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1082</catValu>
    <labl>82 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1083</catValu>
    <labl>83 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1084</catValu>
    <labl>84 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1085</catValu>
    <labl>85 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1086</catValu>
    <labl>86 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1087</catValu>
    <labl>87 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1088</catValu>
    <labl>88 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1089</catValu>
    <labl>89 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1090</catValu>
    <labl>90 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1091</catValu>
    <labl>91 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1092</catValu>
    <labl>92 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1093</catValu>
    <labl>93 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1094</catValu>
    <labl>94 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1095</catValu>
    <labl>95 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1096</catValu>
    <labl>96 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1097</catValu>
    <labl>97 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1098</catValu>
    <labl>98 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1099</catValu>
    <labl>99 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>100 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1101</catValu>
    <labl>101 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1102</catValu>
    <labl>102 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1103</catValu>
    <labl>103 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1104</catValu>
    <labl>104 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1105</catValu>
    <labl>105 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1106</catValu>
    <labl>106 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1107</catValu>
    <labl>107 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1108</catValu>
    <labl>108 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1109</catValu>
    <labl>109 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>110 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1111</catValu>
    <labl>111 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1112</catValu>
    <labl>112 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1113</catValu>
    <labl>113 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1114</catValu>
    <labl>114 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1115</catValu>
    <labl>115 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1116</catValu>
    <labl>116 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1117</catValu>
    <labl>117 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1118</catValu>
    <labl>118 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1119</catValu>
    <labl>119 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>120 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1121</catValu>
    <labl>121 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1122</catValu>
    <labl>122 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1123</catValu>
    <labl>123 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1124</catValu>
    <labl>124 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1125</catValu>
    <labl>125 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1126</catValu>
    <labl>126 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1127</catValu>
    <labl>127 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1128</catValu>
    <labl>128 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1129</catValu>
    <labl>129 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1130</catValu>
    <labl>130 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1131</catValu>
    <labl>131 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1132</catValu>
    <labl>132 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1133</catValu>
    <labl>133 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1134</catValu>
    <labl>134 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1135</catValu>
    <labl>135 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1136</catValu>
    <labl>136 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1137</catValu>
    <labl>137 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1138</catValu>
    <labl>138 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1139</catValu>
    <labl>139 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1140</catValu>
    <labl>140 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1141</catValu>
    <labl>141 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1142</catValu>
    <labl>142 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1143</catValu>
    <labl>143 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1144</catValu>
    <labl>144 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1145</catValu>
    <labl>145 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1146</catValu>
    <labl>146 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1147</catValu>
    <labl>147 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1148</catValu>
    <labl>148 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1149</catValu>
    <labl>149 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1150</catValu>
    <labl>150 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1151</catValu>
    <labl>151 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1152</catValu>
    <labl>152 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1153</catValu>
    <labl>153 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1154</catValu>
    <labl>154 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1155</catValu>
    <labl>155 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1156</catValu>
    <labl>156 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1157</catValu>
    <labl>157 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1158</catValu>
    <labl>158 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1159</catValu>
    <labl>159 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1160</catValu>
    <labl>160 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1161</catValu>
    <labl>161 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1162</catValu>
    <labl>162 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1163</catValu>
    <labl>163 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1164</catValu>
    <labl>164 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1165</catValu>
    <labl>165 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1166</catValu>
    <labl>166 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1167</catValu>
    <labl>167 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1168</catValu>
    <labl>168 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1169</catValu>
    <labl>169 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1170</catValu>
    <labl>170 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1171</catValu>
    <labl>171 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1172</catValu>
    <labl>172 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1173</catValu>
    <labl>173 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1174</catValu>
    <labl>174 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1175</catValu>
    <labl>175 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1176</catValu>
    <labl>176 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1177</catValu>
    <labl>177 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1178</catValu>
    <labl>178 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1179</catValu>
    <labl>179 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1180</catValu>
    <labl>180 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1181</catValu>
    <labl>181 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1182</catValu>
    <labl>182 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1183</catValu>
    <labl>183 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1184</catValu>
    <labl>184 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1185</catValu>
    <labl>185 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1186</catValu>
    <labl>186 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1187</catValu>
    <labl>187 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1188</catValu>
    <labl>188 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1189</catValu>
    <labl>189 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1190</catValu>
    <labl>190 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1191</catValu>
    <labl>191 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1192</catValu>
    <labl>192 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1193</catValu>
    <labl>193 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1194</catValu>
    <labl>194 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1195</catValu>
    <labl>195 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1196</catValu>
    <labl>196 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1197</catValu>
    <labl>197 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1198</catValu>
    <labl>198 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1199</catValu>
    <labl>199 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>200 or more minutes</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>Minutes, number missing</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>Less than 1 hour</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>1 hour</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2 hours</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>3 hours</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>4 hours</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>5 hours</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>6 hours</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>7 hours</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>8 hours</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>9 hours</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>10 hours</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>11 hours</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>12 hours</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>13 hours</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>14 hours</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>15 hours</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>16 hours</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>17 hours</labl>
  </catgry>
  <catgry>
    <catValu>2018</catValu>
    <labl>18 hours</labl>
  </catgry>
  <catgry>
    <catValu>2019</catValu>
    <labl>19 hours</labl>
  </catgry>
  <catgry>
    <catValu>2020</catValu>
    <labl>20 hours</labl>
  </catgry>
  <catgry>
    <catValu>2021</catValu>
    <labl>21 hours</labl>
  </catgry>
  <catgry>
    <catValu>2022</catValu>
    <labl>22 hours</labl>
  </catgry>
  <catgry>
    <catValu>2023</catValu>
    <labl>23 hours</labl>
  </catgry>
  <catgry>
    <catValu>2024</catValu>
    <labl>24 hours</labl>
  </catgry>
  <catgry>
    <catValu>2025</catValu>
    <labl>25 hours</labl>
  </catgry>
  <catgry>
    <catValu>2026</catValu>
    <labl>26 hours</labl>
  </catgry>
  <catgry>
    <catValu>2027</catValu>
    <labl>27 hours</labl>
  </catgry>
  <catgry>
    <catValu>2028</catValu>
    <labl>28 hours</labl>
  </catgry>
  <catgry>
    <catValu>2029</catValu>
    <labl>29 hours</labl>
  </catgry>
  <catgry>
    <catValu>2030</catValu>
    <labl>30 hours</labl>
  </catgry>
  <catgry>
    <catValu>2031</catValu>
    <labl>31 hours</labl>
  </catgry>
  <catgry>
    <catValu>2032</catValu>
    <labl>32 hours</labl>
  </catgry>
  <catgry>
    <catValu>2033</catValu>
    <labl>33 hours</labl>
  </catgry>
  <catgry>
    <catValu>2034</catValu>
    <labl>34 hours</labl>
  </catgry>
  <catgry>
    <catValu>2035</catValu>
    <labl>35 hours</labl>
  </catgry>
  <catgry>
    <catValu>2036</catValu>
    <labl>36 hours</labl>
  </catgry>
  <catgry>
    <catValu>2037</catValu>
    <labl>37 hours</labl>
  </catgry>
  <catgry>
    <catValu>2038</catValu>
    <labl>38 hours</labl>
  </catgry>
  <catgry>
    <catValu>2039</catValu>
    <labl>39 hours</labl>
  </catgry>
  <catgry>
    <catValu>2040</catValu>
    <labl>40 hours</labl>
  </catgry>
  <catgry>
    <catValu>2041</catValu>
    <labl>41 hours</labl>
  </catgry>
  <catgry>
    <catValu>2042</catValu>
    <labl>42 hours</labl>
  </catgry>
  <catgry>
    <catValu>2043</catValu>
    <labl>43 hours</labl>
  </catgry>
  <catgry>
    <catValu>2044</catValu>
    <labl>44 hours</labl>
  </catgry>
  <catgry>
    <catValu>2045</catValu>
    <labl>45 hours</labl>
  </catgry>
  <catgry>
    <catValu>2046</catValu>
    <labl>46 hours</labl>
  </catgry>
  <catgry>
    <catValu>2047</catValu>
    <labl>47 hours</labl>
  </catgry>
  <catgry>
    <catValu>2048</catValu>
    <labl>48 hours</labl>
  </catgry>
  <catgry>
    <catValu>2049</catValu>
    <labl>49 hours</labl>
  </catgry>
  <catgry>
    <catValu>2050</catValu>
    <labl>50 hours</labl>
  </catgry>
  <catgry>
    <catValu>2051</catValu>
    <labl>51 hours</labl>
  </catgry>
  <catgry>
    <catValu>2052</catValu>
    <labl>52 hours</labl>
  </catgry>
  <catgry>
    <catValu>2053</catValu>
    <labl>53 hours</labl>
  </catgry>
  <catgry>
    <catValu>2054</catValu>
    <labl>54 hours</labl>
  </catgry>
  <catgry>
    <catValu>2055</catValu>
    <labl>55 hours</labl>
  </catgry>
  <catgry>
    <catValu>2056</catValu>
    <labl>56 hours</labl>
  </catgry>
  <catgry>
    <catValu>2057</catValu>
    <labl>57 hours</labl>
  </catgry>
  <catgry>
    <catValu>2058</catValu>
    <labl>58 hours</labl>
  </catgry>
  <catgry>
    <catValu>2059</catValu>
    <labl>59 hours</labl>
  </catgry>
  <catgry>
    <catValu>2060</catValu>
    <labl>60 hours</labl>
  </catgry>
  <catgry>
    <catValu>2061</catValu>
    <labl>61 hours</labl>
  </catgry>
  <catgry>
    <catValu>2062</catValu>
    <labl>62 hours</labl>
  </catgry>
  <catgry>
    <catValu>2063</catValu>
    <labl>63 hours</labl>
  </catgry>
  <catgry>
    <catValu>2064</catValu>
    <labl>64 hours</labl>
  </catgry>
  <catgry>
    <catValu>2065</catValu>
    <labl>65 hours</labl>
  </catgry>
  <catgry>
    <catValu>2066</catValu>
    <labl>66 hours</labl>
  </catgry>
  <catgry>
    <catValu>2067</catValu>
    <labl>67 hours</labl>
  </catgry>
  <catgry>
    <catValu>2068</catValu>
    <labl>68 hours</labl>
  </catgry>
  <catgry>
    <catValu>2069</catValu>
    <labl>69 hours</labl>
  </catgry>
  <catgry>
    <catValu>2070</catValu>
    <labl>70 hours</labl>
  </catgry>
  <catgry>
    <catValu>2071</catValu>
    <labl>71 hours</labl>
  </catgry>
  <catgry>
    <catValu>2072</catValu>
    <labl>72 hours</labl>
  </catgry>
  <catgry>
    <catValu>2073</catValu>
    <labl>73 hours</labl>
  </catgry>
  <catgry>
    <catValu>2074</catValu>
    <labl>74 hours</labl>
  </catgry>
  <catgry>
    <catValu>2075</catValu>
    <labl>75 hours</labl>
  </catgry>
  <catgry>
    <catValu>2076</catValu>
    <labl>76 hours</labl>
  </catgry>
  <catgry>
    <catValu>2077</catValu>
    <labl>77 hours</labl>
  </catgry>
  <catgry>
    <catValu>2078</catValu>
    <labl>78 hours</labl>
  </catgry>
  <catgry>
    <catValu>2079</catValu>
    <labl>79 hours</labl>
  </catgry>
  <catgry>
    <catValu>2080</catValu>
    <labl>80 hours</labl>
  </catgry>
  <catgry>
    <catValu>2081</catValu>
    <labl>81 hours</labl>
  </catgry>
  <catgry>
    <catValu>2082</catValu>
    <labl>82 hours</labl>
  </catgry>
  <catgry>
    <catValu>2083</catValu>
    <labl>83 hours</labl>
  </catgry>
  <catgry>
    <catValu>2084</catValu>
    <labl>84 hours</labl>
  </catgry>
  <catgry>
    <catValu>2085</catValu>
    <labl>85 hours</labl>
  </catgry>
  <catgry>
    <catValu>2086</catValu>
    <labl>86 hours</labl>
  </catgry>
  <catgry>
    <catValu>2087</catValu>
    <labl>87 hours</labl>
  </catgry>
  <catgry>
    <catValu>2088</catValu>
    <labl>88 hours</labl>
  </catgry>
  <catgry>
    <catValu>2089</catValu>
    <labl>89 hours</labl>
  </catgry>
  <catgry>
    <catValu>2090</catValu>
    <labl>90 hours</labl>
  </catgry>
  <catgry>
    <catValu>2091</catValu>
    <labl>91 hours</labl>
  </catgry>
  <catgry>
    <catValu>2092</catValu>
    <labl>92 hours</labl>
  </catgry>
  <catgry>
    <catValu>2093</catValu>
    <labl>93 hours</labl>
  </catgry>
  <catgry>
    <catValu>2094</catValu>
    <labl>94 hours</labl>
  </catgry>
  <catgry>
    <catValu>2095</catValu>
    <labl>95 hours</labl>
  </catgry>
  <catgry>
    <catValu>2096</catValu>
    <labl>96 hours</labl>
  </catgry>
  <catgry>
    <catValu>2097</catValu>
    <labl>97 hours</labl>
  </catgry>
  <catgry>
    <catValu>2098</catValu>
    <labl>98 hours</labl>
  </catgry>
  <catgry>
    <catValu>2099</catValu>
    <labl>99 hours</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>100 hours or more</labl>
  </catgry>
  <catgry>
    <catValu>2999</catValu>
    <labl>Hours, number missing</labl>
  </catgry>
  <catgry>
    <catValu>3001</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>3002</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>3003</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>3004</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>3005</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>3999</catValu>
    <labl>Days, number missing</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Source comes to respondent</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>No source known</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (Not in universe)</labl>
  </catgry>
  <txt>For women who know of a source where contraception can be obtained, FPSRCTIME (V381) reports the amount of time it takes them to get there in minutes, hours, or days. The complementary variable FPSRCTIMEGP also reports the amount of time to get to the source of family planning, but that variable is top-coded at 120+ minutes.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPSRCTIMEGP" name="B_FPSRCTIMEGP" files="B" intrvl="discrete">
  <labl>Time to get to FP source (grouped)</labl>
  <imputation>Time to get to FP source (grouped)</imputation>
  <security>Time to get to FP source (grouped)</security>
  <embargo>Time to get to FP source (grouped)</embargo>
  <respUnit>Time to get to FP source (grouped)</respUnit>
  <qstn>
    <qstnLit>334) How long does it take to travel to your home to this place?
IF LESS THAN 2 HOURS, RECORD MINUTES. OTHERWISE, RECORD HOURS.

MINUTES: ___ 1
HOURS: ___ 2
DON'T KNOW 9998</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Mobile source</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>0 - 14 minutes</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>15 - 29 minutes</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>30 - 59 minutes</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>60 - 89 minutes</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>90 - 119 minutes</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>120 or more minutes</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Don't know time</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know source</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (Not in universe)</labl>
  </catgry>
  <txt>Like FPSRCTIME, for women who know of a source where contraception can be obtained, FPSRCTIMEGP (V382) reports the amount of time it takes to get to there, but the latter variable uses grouped intervals and is top-coded at 120+ minutes.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPPILLCOST" name="B_FPPILLCOST" files="B" intrvl="discrete">
  <labl>Cost of Pills</labl>
  <imputation>Cost of Pills</imputation>
  <security>Cost of Pills</security>
  <embargo>Cost of Pills</embargo>
  <respUnit>Cost of Pills</respUnit>
  <qstn>
    <qstnLit>317) How much does one packet of pills cost you?

RECORD PRICE.

317A) For how many cycles have you used this packet of pills?

RECORD NUMBER OF CYCLES.

COST: ___
FREE 9996
DON'T KNOW 9998

NUMBER OF CYCLES: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>000000</catValu>
    <labl>Free</labl>
  </catgry>
  <catgry>
    <catValu>999997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>999998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are currently using the Pill, FPPILLCOST (V325) reports the cost of a cycle of pills.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPPILLBRAND" name="B_FPPILLBRAND" files="B" intrvl="discrete">
  <labl>Brand of Pills currently used</labl>
  <imputation>Brand of Pills currently used</imputation>
  <security>Brand of Pills currently used</security>
  <embargo>Brand of Pills currently used</embargo>
  <respUnit>Brand of Pills currently used</respUnit>
  <qstn>
    <qstnLit>316) Do you know the brand name of the pills that you are now using?

STEDIRIL 01
MINIDRIL 02
MILLI ANOVLAR 03
EUGYNON 04
ADEPAL 05
MINIPHASE 06
LO-FEMENAL 07
EUGYNON 08
OTHER (SPECIFY): ___ 09
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>4203</catValu>
    <labl>Emkit</labl>
  </catgry>
  <catgry>
    <catValu>3112</catValu>
    <labl>Triella</labl>
  </catgry>
  <catgry>
    <catValu>2215</catValu>
    <labl>TriNovum</labl>
  </catgry>
  <catgry>
    <catValu>2114</catValu>
    <labl>Stediril</labl>
  </catgry>
  <catgry>
    <catValu>1241</catValu>
    <labl>Rigevidon</labl>
  </catgry>
  <catgry>
    <catValu>1240</catValu>
    <labl>Brevinor</labl>
  </catgry>
  <catgry>
    <catValu>1239</catValu>
    <labl>Lusiaf</labl>
  </catgry>
  <catgry>
    <catValu>1129</catValu>
    <labl>Yasmin</labl>
  </catgry>
  <catgry>
    <catValu>1128</catValu>
    <labl>Triquilar</labl>
  </catgry>
  <catgry>
    <catValu>1127</catValu>
    <labl>Trinordial</labl>
  </catgry>
  <catgry>
    <catValu>2113</catValu>
    <labl>"</labl>
  </catgry>
  <catgry>
    <catValu>1242</catValu>
    <labl>NewFem</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>LOW-DOSE PILLS</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>International brands</labl>
  </catgry>
  <catgry>
    <catValu>1101</catValu>
    <labl>Adepal</labl>
  </catgry>
  <catgry>
    <catValu>1102</catValu>
    <labl>Choice</labl>
  </catgry>
  <catgry>
    <catValu>1103</catValu>
    <labl>Cilest</labl>
  </catgry>
  <catgry>
    <catValu>1104</catValu>
    <labl>Combination-3</labl>
  </catgry>
  <catgry>
    <catValu>1105</catValu>
    <labl>Confidence</labl>
  </catgry>
  <catgry>
    <catValu>1106</catValu>
    <labl>Diane</labl>
  </catgry>
  <catgry>
    <catValu>1107</catValu>
    <labl>Duofem</labl>
  </catgry>
  <catgry>
    <catValu>1108</catValu>
    <labl>Eugynon</labl>
  </catgry>
  <catgry>
    <catValu>1109</catValu>
    <labl>Famila 28</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>Femicon</labl>
  </catgry>
  <catgry>
    <catValu>1111</catValu>
    <labl>Gracial</labl>
  </catgry>
  <catgry>
    <catValu>1112</catValu>
    <labl>Lo-femenal</labl>
  </catgry>
  <catgry>
    <catValu>1113</catValu>
    <labl>Logynon</labl>
  </catgry>
  <catgry>
    <catValu>1114</catValu>
    <labl>Marvelon</labl>
  </catgry>
  <catgry>
    <catValu>1115</catValu>
    <labl>Microgynon</labl>
  </catgry>
  <catgry>
    <catValu>1116</catValu>
    <labl>Minidril</labl>
  </catgry>
  <catgry>
    <catValu>1117</catValu>
    <labl>Miniphase</labl>
  </catgry>
  <catgry>
    <catValu>1118</catValu>
    <labl>Nordette</labl>
  </catgry>
  <catgry>
    <catValu>1119</catValu>
    <labl>Norminest</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>Norquest</labl>
  </catgry>
  <catgry>
    <catValu>1121</catValu>
    <labl>Novodol</labl>
  </catgry>
  <catgry>
    <catValu>1122</catValu>
    <labl>Oralcon F</labl>
  </catgry>
  <catgry>
    <catValu>1123</catValu>
    <labl>Ortho-Novum</labl>
  </catgry>
  <catgry>
    <catValu>1124</catValu>
    <labl>Pilplan</labl>
  </catgry>
  <catgry>
    <catValu>1125</catValu>
    <labl>Planif</labl>
  </catgry>
  <catgry>
    <catValu>1126</catValu>
    <labl>Planyl</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Country-specific brands</labl>
  </catgry>
  <catgry>
    <catValu>1201</catValu>
    <labl>Nogestol</labl>
  </catgry>
  <catgry>
    <catValu>1202</catValu>
    <labl>Desolon</labl>
  </catgry>
  <catgry>
    <catValu>1203</catValu>
    <labl>Femipill</labl>
  </catgry>
  <catgry>
    <catValu>1204</catValu>
    <labl>Maya</labl>
  </catgry>
  <catgry>
    <catValu>1205</catValu>
    <labl>Noret-28</labl>
  </catgry>
  <catgry>
    <catValu>1206</catValu>
    <labl>Ovacon</labl>
  </catgry>
  <catgry>
    <catValu>1207</catValu>
    <labl>Shuki</labl>
  </catgry>
  <catgry>
    <catValu>1208</catValu>
    <labl>Harmonie (PSI)</labl>
  </catgry>
  <catgry>
    <catValu>1209</catValu>
    <labl>Varnoline</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Microcept</labl>
  </catgry>
  <catgry>
    <catValu>1211</catValu>
    <labl>Microvlar</labl>
  </catgry>
  <catgry>
    <catValu>1212</catValu>
    <labl>Triocept</labl>
  </catgry>
  <catgry>
    <catValu>1213</catValu>
    <labl>Trivolar</labl>
  </catgry>
  <catgry>
    <catValu>1214</catValu>
    <labl>Style/Trigestrel</labl>
  </catgry>
  <catgry>
    <catValu>1215</catValu>
    <labl>Secure</labl>
  </catgry>
  <catgry>
    <catValu>1216</catValu>
    <labl>Microlite</labl>
  </catgry>
  <catgry>
    <catValu>1217</catValu>
    <labl>Apsara</labl>
  </catgry>
  <catgry>
    <catValu>1218</catValu>
    <labl>Ecroz</labl>
  </catgry>
  <catgry>
    <catValu>1219</catValu>
    <labl>Mala-D</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Mala-N</labl>
  </catgry>
  <catgry>
    <catValu>1221</catValu>
    <labl>Novelon</labl>
  </catgry>
  <catgry>
    <catValu>1222</catValu>
    <labl>Ovral L</labl>
  </catgry>
  <catgry>
    <catValu>1223</catValu>
    <labl>Pearl</labl>
  </catgry>
  <catgry>
    <catValu>1224</catValu>
    <labl>Anteovin</labl>
  </catgry>
  <catgry>
    <catValu>1225</catValu>
    <labl>Belara</labl>
  </catgry>
  <catgry>
    <catValu>1226</catValu>
    <labl>Gracial</labl>
  </catgry>
  <catgry>
    <catValu>1227</catValu>
    <labl>Loestrin</labl>
  </catgry>
  <catgry>
    <catValu>1228</catValu>
    <labl>Mawelon</labl>
  </catgry>
  <catgry>
    <catValu>1229</catValu>
    <labl>Norimin</labl>
  </catgry>
  <catgry>
    <catValu>1230</catValu>
    <labl>Femiplan</labl>
  </catgry>
  <catgry>
    <catValu>1231</catValu>
    <labl>Conova 30</labl>
  </catgry>
  <catgry>
    <catValu>1232</catValu>
    <labl>Trigynon</labl>
  </catgry>
  <catgry>
    <catValu>1233</catValu>
    <labl>OK pills</labl>
  </catgry>
  <catgry>
    <catValu>1234</catValu>
    <labl>Sure</labl>
  </catgry>
  <catgry>
    <catValu>1235</catValu>
    <labl>Feminyl</labl>
  </catgry>
  <catgry>
    <catValu>1236</catValu>
    <labl>Nilocon White</labl>
  </catgry>
  <catgry>
    <catValu>1237</catValu>
    <labl>Sunaulo Gulaf</labl>
  </catgry>
  <catgry>
    <catValu>1900</catValu>
    <labl>Unspecified low-dose pills</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>HIGH-DOSE PILLS</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>International brands</labl>
  </catgry>
  <catgry>
    <catValu>2101</catValu>
    <labl>Anovlar</labl>
  </catgry>
  <catgry>
    <catValu>2102</catValu>
    <labl>Gynovlar</labl>
  </catgry>
  <catgry>
    <catValu>2103</catValu>
    <labl>Lyndiol</labl>
  </catgry>
  <catgry>
    <catValu>2104</catValu>
    <labl>Microgynon 30 ED</labl>
  </catgry>
  <catgry>
    <catValu>2105</catValu>
    <labl>Milli Anovlar</labl>
  </catgry>
  <catgry>
    <catValu>2106</catValu>
    <labl>Neogynon</labl>
  </catgry>
  <catgry>
    <catValu>2107</catValu>
    <labl>Neogynon ED</labl>
  </catgry>
  <catgry>
    <catValu>2108</catValu>
    <labl>Nordiol</labl>
  </catgry>
  <catgry>
    <catValu>2109</catValu>
    <labl>Norquentiel</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Ovidon</labl>
  </catgry>
  <catgry>
    <catValu>2111</catValu>
    <labl>Ovral</labl>
  </catgry>
  <catgry>
    <catValu>2112</catValu>
    <labl>Ovulen 50</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Country-specific brands</labl>
  </catgry>
  <catgry>
    <catValu>2201</catValu>
    <labl>Combination-5</labl>
  </catgry>
  <catgry>
    <catValu>2202</catValu>
    <labl>Lynes</labl>
  </catgry>
  <catgry>
    <catValu>2203</catValu>
    <labl>Ovostat</labl>
  </catgry>
  <catgry>
    <catValu>2204</catValu>
    <labl>Regumen</labl>
  </catgry>
  <catgry>
    <catValu>2205</catValu>
    <labl>Novell-duo</labl>
  </catgry>
  <catgry>
    <catValu>2206</catValu>
    <labl>Gynera</labl>
  </catgry>
  <catgry>
    <catValu>2207</catValu>
    <labl>Primovlar</labl>
  </catgry>
  <catgry>
    <catValu>2208</catValu>
    <labl>Duoluton-L</labl>
  </catgry>
  <catgry>
    <catValu>2209</catValu>
    <labl>Ovral G</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Progyluton</labl>
  </catgry>
  <catgry>
    <catValu>2211</catValu>
    <labl>Gynovlane</labl>
  </catgry>
  <catgry>
    <catValu>2212</catValu>
    <labl>Ovanon</labl>
  </catgry>
  <catgry>
    <catValu>2213</catValu>
    <labl>Ovidon</labl>
  </catgry>
  <catgry>
    <catValu>2214</catValu>
    <labl>Triphasit</labl>
  </catgry>
  <catgry>
    <catValu>2900</catValu>
    <labl>Unspecified high-dose pill</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>PROGESTIN-ONLY PILLS</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>International brands</labl>
  </catgry>
  <catgry>
    <catValu>3101</catValu>
    <labl>Exluton/Lynestrenol</labl>
  </catgry>
  <catgry>
    <catValu>3102</catValu>
    <labl>Femulen</labl>
  </catgry>
  <catgry>
    <catValu>3103</catValu>
    <labl>Microlut</labl>
  </catgry>
  <catgry>
    <catValu>3104</catValu>
    <labl>Micronor</labl>
  </catgry>
  <catgry>
    <catValu>3105</catValu>
    <labl>Micronovum</labl>
  </catgry>
  <catgry>
    <catValu>3106</catValu>
    <labl>Microval</labl>
  </catgry>
  <catgry>
    <catValu>3107</catValu>
    <labl>"</labl>
  </catgry>
  <catgry>
    <catValu>3108</catValu>
    <labl>Minovlar</labl>
  </catgry>
  <catgry>
    <catValu>3109</catValu>
    <labl>Noriday</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Ovrette</labl>
  </catgry>
  <catgry>
    <catValu>3111</catValu>
    <labl>Safe Plan</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>Country-specific brands</labl>
  </catgry>
  <catgry>
    <catValu>3201</catValu>
    <labl>Bredicon</labl>
  </catgry>
  <catgry>
    <catValu>3202</catValu>
    <labl>Minicon</labl>
  </catgry>
  <catgry>
    <catValu>3203</catValu>
    <labl>Levonor</labl>
  </catgry>
  <catgry>
    <catValu>3204</catValu>
    <labl>Hyan</labl>
  </catgry>
  <catgry>
    <catValu>3205</catValu>
    <labl>I-plan</labl>
  </catgry>
  <catgry>
    <catValu>3206</catValu>
    <labl>Primolut N</labl>
  </catgry>
  <catgry>
    <catValu>3207</catValu>
    <labl>Cerazette</labl>
  </catgry>
  <catgry>
    <catValu>3208</catValu>
    <labl>Planor</labl>
  </catgry>
  <catgry>
    <catValu>3209</catValu>
    <labl>Softsure</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>EMERGENCY CONTRACEPTION</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>International brands</labl>
  </catgry>
  <catgry>
    <catValu>4200</catValu>
    <labl>Country-specific brands</labl>
  </catgry>
  <catgry>
    <catValu>4201</catValu>
    <labl>Gravistal</labl>
  </catgry>
  <catgry>
    <catValu>4202</catValu>
    <labl>Postinor</labl>
  </catgry>
  <catgry>
    <catValu>4900</catValu>
    <labl>Unspecified emergency contraception</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>NON-HORMONAL PILLS</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>International brands</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Country-specific brands</labl>
  </catgry>
  <catgry>
    <catValu>5201</catValu>
    <labl>Centron</labl>
  </catgry>
  <catgry>
    <catValu>5202</catValu>
    <labl>Saheli</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>UNSPECIFIED/UNKNOWN PILLS</labl>
  </catgry>
  <catgry>
    <catValu>6100</catValu>
    <labl>International brands</labl>
  </catgry>
  <catgry>
    <catValu>6101</catValu>
    <labl>Today (sponge)</labl>
  </catgry>
  <catgry>
    <catValu>6200</catValu>
    <labl>Country-specific brands</labl>
  </catgry>
  <catgry>
    <catValu>6201</catValu>
    <labl>Khoshi</labl>
  </catgry>
  <catgry>
    <catValu>6202</catValu>
    <labl>Aco</labl>
  </catgry>
  <catgry>
    <catValu>6203</catValu>
    <labl>Cotrablan</labl>
  </catgry>
  <catgry>
    <catValu>6204</catValu>
    <labl>Microvior 30</labl>
  </catgry>
  <catgry>
    <catValu>6205</catValu>
    <labl>Stero</labl>
  </catgry>
  <catgry>
    <catValu>6206</catValu>
    <labl>Blue</labl>
  </catgry>
  <catgry>
    <catValu>6207</catValu>
    <labl>Hot</labl>
  </catgry>
  <catgry>
    <catValu>6208</catValu>
    <labl>Kamal (foam)</labl>
  </catgry>
  <catgry>
    <catValu>6209</catValu>
    <labl>N/M tablets</labl>
  </catgry>
  <catgry>
    <catValu>6210</catValu>
    <labl>Nofian</labl>
  </catgry>
  <catgry>
    <catValu>6211</catValu>
    <labl>Period oil</labl>
  </catgry>
  <catgry>
    <catValu>6212</catValu>
    <labl>Sacharin</labl>
  </catgry>
  <catgry>
    <catValu>6213</catValu>
    <labl>Skill</labl>
  </catgry>
  <catgry>
    <catValu>6214</catValu>
    <labl>Moti</labl>
  </catgry>
  <catgry>
    <catValu>6215</catValu>
    <labl>Subitha</labl>
  </catgry>
  <catgry>
    <catValu>6216</catValu>
    <labl>Fingers</labl>
  </catgry>
  <catgry>
    <catValu>6217</catValu>
    <labl>Sutura</labl>
  </catgry>
  <catgry>
    <catValu>6218</catValu>
    <labl>Menstrogen (injection)</labl>
  </catgry>
  <catgry>
    <catValu>6219</catValu>
    <labl>Norvolain</labl>
  </catgry>
  <catgry>
    <catValu>6220</catValu>
    <labl>Flexi P</labl>
  </catgry>
  <catgry>
    <catValu>6221</catValu>
    <labl>Marutton</labl>
  </catgry>
  <catgry>
    <catValu>6900</catValu>
    <labl>Other unspecified/unknown pills</labl>
  </catgry>
  <catgry>
    <catValu>6901</catValu>
    <labl>Unspecified private brand</labl>
  </catgry>
  <catgry>
    <catValu>6902</catValu>
    <labl>Unspecified public brand</labl>
  </catgry>
  <catgry>
    <catValu>6903</catValu>
    <labl>Unspecified social marketing brand</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Not able to show</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are currently using the Pill, FPPILLBRAND (V323) reports the brand name of the Pill that the respondent currently uses.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPPILLPACK" name="B_FPPILLPACK" files="B" intrvl="discrete">
  <labl>Shown pill package</labl>
  <imputation>Shown pill package</imputation>
  <security>Shown pill package</security>
  <embargo>Shown pill package</embargo>
  <respUnit>Shown pill package</respUnit>
  <qstn>
    <qstnLit>315) May I see the package of pills you are using now?

STEDIRIL 01 (GO TO 317)
MINIDRIL 02 (GO TO 317)
MILLI ANOVLAR 03 (GO TO 317)
EUGYNON 04 (GO TO 317)
ADEPAL 05 (GO TO 317)
MINIPHASE 06 (GO TO 317)
LO-FEMENAL 07 (GO TO 317)
EUGYNON 08 (GO TO 317)
OTHER (SPECIFY): ___ 09 (GO TO 317)
BOX NOT SHOWN 10</qstnLit>
  </qstn>
  <catgry>
    <labl>Package not seen</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Package seen</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are currently using the Pill as a method of family planning, FPPILLPACK (V372) indicates whether the package of pills currently being used was seen by the interviewer.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPLPILSAWDR" name="B_FPLPILSAWDR" files="B" intrvl="discrete">
  <labl>Saw doctor or nurse last time got Pill</labl>
  <imputation>Saw doctor or nurse last time got Pill</imputation>
  <security>Saw doctor or nurse last time got Pill</security>
  <embargo>Saw doctor or nurse last time got Pill</embargo>
  <respUnit>Saw doctor or nurse last time got Pill</respUnit>
  <qstn>
    <qstnLit>314) At the time you last got pills, did you consult a doctor or midwife?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPLPILSAWDR (V374) indicates whether the woman consulted a doctor or other trained medical personnel when she last got a supply of the Pill.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FP1STUSGPKID" name="B_FP1STUSGPKID" files="B" intrvl="discrete">
  <labl>Number living children at first use of FP (grouped)</labl>
  <imputation>Number living children at first use of FP (grouped)</imputation>
  <security>Number living children at first use of FP (grouped)</security>
  <embargo>Number living children at first use of FP (grouped)</embargo>
  <respUnit>Number living children at first use of FP (grouped)</respUnit>
  <qstn>
    <qstnLit>308) Now I would like to speak to you about the time when you first did something or used a method to avoid getting pregnant. How many children did you have at that time?

IF NONE, RECORD '00'.

NUMBER OF CHILDREN: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4+</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Inconsistent number reported</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Never used FP</labl>
  </catgry>
  <txt>FP1STUSGPKID (V311) reports the number of living children, if any, the woman had when she first used a contraceptive method, with the number top-coded at 4+ children. FP1STUSLVKID reports responses to the same question, without top-coding the answers.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>First use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FP1STUSLVKID" name="B_FP1STUSLVKID" files="B" intrvl="discrete">
  <labl>Number living children at first use of FP</labl>
  <imputation>Number living children at first use of FP</imputation>
  <security>Number living children at first use of FP</security>
  <embargo>Number living children at first use of FP</embargo>
  <respUnit>Number living children at first use of FP</respUnit>
  <qstn>
    <qstnLit>308) Now I would like to speak to you about the time when you first did something or used a method to avoid getting pregnant. How many children did you have at that time?

IF NONE, RECORD '00'.

NUMBER OF CHILDREN: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FP1STUSLVKID (V310) reports the number of living children the woman had the first time she used a contraceptive method.  The same information is also reported in FP1STUSGPKID, except responses are top-coded at 4+ children in that variable and women who have never used contraception are coded as "9."</txt>
  <concept>
    <title>First use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FP1PILSAWDR" name="B_FP1PILSAWDR" files="B" intrvl="discrete">
  <labl>Saw doctor or nurse for first use of Pill</labl>
  <imputation>Saw doctor or nurse for first use of Pill</imputation>
  <security>Saw doctor or nurse for first use of Pill</security>
  <embargo>Saw doctor or nurse for first use of Pill</embargo>
  <respUnit>Saw doctor or nurse for first use of Pill</respUnit>
  <qstn>
    <qstnLit>313 At the time you first started using the pill, did you consult a doctor or a midwife?

YES 1
NO 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <txt>FP1PILSAWDR (V373) indicates whether the woman consulted a doctor or other trained medical personnel when she first started using the Pill.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>First use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPUSINTENT" name="B_FPUSINTENT" files="B" intrvl="discrete">
  <labl>FP current use or future intention</labl>
  <imputation>FP current use or future intention</imputation>
  <security>FP current use or future intention</security>
  <embargo>FP current use or future intention</embargo>
  <respUnit>FP current use or future intention</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>Using modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Using traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Non-user intending to use</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Does not intend to use</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Never had sex</labl>
  </catgry>
  <txt>FPUSINTENT (V364) is a constructed variable drawing on responses to multiple survey questions that divides women into the following categories: those who are currently using a contraceptive method (either modern or traditional); those who are not now using contraception but intend to do so in the future; those who are neither using contraception now nor intend to do so in the future; and (in a minority of samples) those who never had sex.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

IPUMS-DHS users are encouraged to review FPMETHNOW and FPUSPLAN for additional information on the variables used to construct FPUSINTENT.</txt>
  <concept>
    <title>Future use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPUSPLAN" name="B_FPUSPLAN" files="B" intrvl="discrete">
  <labl>Intention to use FP in future</labl>
  <imputation>Intention to use FP in future</imputation>
  <security>Intention to use FP in future</security>
  <embargo>Intention to use FP in future</embargo>
  <respUnit>Intention to use FP in future</respUnit>
  <qstn>
    <qstnLit>326) Do you intend to use a method to avoid getting pregnant in the future?

YES 1 (GO TO 328)
NO 2
DON'T KNOW 8 (GO TO 332)</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Will use in future</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Use in next 12 months</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Use later</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Unsure about future use</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Unsure about timing</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Unsure about use</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Does not intend to use</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Never had sex</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPUSPLAN (V362) is a constructed variable based on multiple survey questions that reports, for women not currently using contraception, whether the woman intends to use contraception in the future and, if so, when she intends to begin use (in the next 12 months or later). Women uncertain about future contraceptive use are subdivided into those who are unsure about using a method and those unsure about the timing of planned future use.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>Future use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPMETHFUTR" name="B_FPMETHFUTR" files="B" intrvl="discrete">
  <labl>Preferred future FP method</labl>
  <imputation>Preferred future FP method</imputation>
  <security>Preferred future FP method</security>
  <embargo>Preferred future FP method</embargo>
  <respUnit>Preferred future FP method</respUnit>
  <qstn>
    <qstnLit>329) When you eventually do use a method, which method would you prefer to use?

PILL 01
IUD 02
INJECTIONS 03
DIAPHRAGM/FOAM/GEL 04
CONDOM 05
FEMALE STERILIZATION 06
MALE STERILIZATION 07
PERIODIC ABSTINENCE 08 (GO TO 332)
WITHDRAWAL 09 (GO TO 332)
GRIS-GRIS 10 (GO TO 332)
OTHER (SPECIFY): ___ 11 (GO TO 332)
UNSURE 98 (GO TO 332)</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>Specific method 4</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>Specific method 3</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>Specific method 2</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>Specific method 1</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Other method, unspecified</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>Traditional medications</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>Astrology</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>Gris-gris/amulet</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>Herbs</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>Other traditional/folkloric</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>Withdrawal</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>Abstinence</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>Periodic abstinence</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Abstinence or periodic abstinence</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>TRADITIONAL METHODS</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>Whatever doctor prescribes</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>Other modern methods</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>Emergency contraception</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>Prolonged breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>Lactational amenorrhea (LAM)</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>Vaginal methods</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>Foaming tablets</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>Foam or jelly</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>Diaphragm/Jelly</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>Diaphragm/Foam</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>Diaphragm</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Diaphragm/Foam/Jelly</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>Male sterilization</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>Female sterilization</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>Female condom</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>Condom</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>Norplant/implants</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>Injections</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>IUD</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>Pill</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>MODERN METHODS</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>CycleBeads/Standard days method</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>Mucus method (periodic abstinence)</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>Knotted cord/strings</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>Charm from traditional spiritual leader</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Don't know</labl>
  </catgry>
  <txt>For women not currently using a contraceptive method but intending to do so in the future, FPMETHFUTR (V363) reports the family planning method the woman would prefer to use.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

Answers are grouped under the broad categories of "modern methods," "traditional methods," and "other methods," each with a different first digit. Specific methods are distinguished by the second and third digits. Closely related responses, such as various groupings of diaphragm/foam/jelly, share the first 2 digits in common, while the third digit distinguishes the exact response category.</txt>
  <concept>
    <title>Future use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPSRCFUTR" name="B_FPSRCFUTR" files="B" intrvl="discrete">
  <labl>The source of the preferred method is the source the respondent believes the preferred method is available.</labl>
  <imputation>The source of the preferred method is the source the respondent believes the preferred method is available.</imputation>
  <security>The source of the preferred method is the source the respondent believes the preferred method is available.</security>
  <embargo>The source of the preferred method is the source the respondent believes the preferred method is available.</embargo>
  <respUnit>The source of the preferred method is the source the respondent believes the preferred method is available.</respUnit>
  <qstn>
    <qstnLit>330) Where can you get (METHOD MENTIONED IN 329)?

NAME OF PLACE: ___

PUBLIC SECTOR

HOSPITAL 11 (GO TO 334)
MEDICAL CENTER 12(GO TO 334)
FAMILY HEALTH CENTER 13(GO TO 334)
MOTHER AND CHILD CARE CENTER 14 (GO TO 334)
DISPENSARY 15 (GO TO 334)
MATERNITY WARD 16 (GO TO 334)
PEOPLE'S PHARMACY 17 (GO TO 334)

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE 21 (GO TO 334)
CLINIC/HOSPITAL 22 (GO TO 334)
PHARMACY 23 (GO TO 334)

OTHER PRIVATE SECTOR

RELATIVE 31 (GO TO 336)
NEIGHBOR 32 (GO TO 336)

OTHER (SPECIFY): ___ 41(GO TO 336)
DON'T KNOW 98 (GO TO 332)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1000</catValu>
    <labl>PUBLIC SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Government hospital</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>Regional/provincial hospital</labl>
  </catgry>
  <catgry>
    <catValu>1130</catValu>
    <labl>Urban hospital</labl>
  </catgry>
  <catgry>
    <catValu>1140</catValu>
    <labl>District hospital</labl>
  </catgry>
  <catgry>
    <catValu>1150</catValu>
    <labl>Rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>1160</catValu>
    <labl>Teaching hospital</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Government health center</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Urban health center</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Rural health center</labl>
  </catgry>
  <catgry>
    <catValu>1230</catValu>
    <labl>Family welfare center</labl>
  </catgry>
  <catgry>
    <catValu>1240</catValu>
    <labl>Primary health center</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>Government family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>1400</catValu>
    <labl>Government pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>1410</catValu>
    <labl>Government pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>1420</catValu>
    <labl>Government dispensary</labl>
  </catgry>
  <catgry>
    <catValu>1500</catValu>
    <labl>Government maternity home</labl>
  </catgry>
  <catgry>
    <catValu>1510</catValu>
    <labl>Maternal and child health (MCH) center</labl>
  </catgry>
  <catgry>
    <catValu>1600</catValu>
    <labl>Government outreach</labl>
  </catgry>
  <catgry>
    <catValu>1610</catValu>
    <labl>Government health post</labl>
  </catgry>
  <catgry>
    <catValu>1620</catValu>
    <labl>Government mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>1630</catValu>
    <labl>Government health worker</labl>
  </catgry>
  <catgry>
    <catValu>1631</catValu>
    <labl>Fieldworker</labl>
  </catgry>
  <catgry>
    <catValu>1632</catValu>
    <labl>Paramedic</labl>
  </catgry>
  <catgry>
    <catValu>1633</catValu>
    <labl>Doctor</labl>
  </catgry>
  <catgry>
    <catValu>1634</catValu>
    <labl>Community/village health worker</labl>
  </catgry>
  <catgry>
    <catValu>1900</catValu>
    <labl>Other public sector</labl>
  </catgry>
  <catgry>
    <catValu>1901</catValu>
    <labl>Health insurance organization</labl>
  </catgry>
  <catgry>
    <catValu>1902</catValu>
    <labl>Curative care organization</labl>
  </catgry>
  <catgry>
    <catValu>1903</catValu>
    <labl>Parastatal health facility</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>PRIVATE MEDICAL SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Private hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Private hospital</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>Private clinic</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Private doctor</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Doctor/birth attendant</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Private pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>2310</catValu>
    <labl>Private pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>2320</catValu>
    <labl>Private dispensary</labl>
  </catgry>
  <catgry>
    <catValu>2400</catValu>
    <labl>Private health center</labl>
  </catgry>
  <catgry>
    <catValu>2500</catValu>
    <labl>Private family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>2600</catValu>
    <labl>Private maternity home</labl>
  </catgry>
  <catgry>
    <catValu>2700</catValu>
    <labl>Private outreach</labl>
  </catgry>
  <catgry>
    <catValu>2710</catValu>
    <labl>Private mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>2720</catValu>
    <labl>Private health worker</labl>
  </catgry>
  <catgry>
    <catValu>2721</catValu>
    <labl>Nurse</labl>
  </catgry>
  <catgry>
    <catValu>2722</catValu>
    <labl>Fieldworker</labl>
  </catgry>
  <catgry>
    <catValu>2723</catValu>
    <labl>Community-based distribution agent (CBDA)</labl>
  </catgry>
  <catgry>
    <catValu>2900</catValu>
    <labl>Other private medical sector</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>NGO FACILITY</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>NGO health facility</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>Country-specific NGOs</labl>
  </catgry>
  <catgry>
    <catValu>3201</catValu>
    <labl>CSI project</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>RELIGIOUS/MISSION</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>Religious hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>4110</catValu>
    <labl>Religious hospital</labl>
  </catgry>
  <catgry>
    <catValu>4200</catValu>
    <labl>Religious dispensary</labl>
  </catgry>
  <catgry>
    <catValu>4300</catValu>
    <labl>Religious health center</labl>
  </catgry>
  <catgry>
    <catValu>4310</catValu>
    <labl>Mosque health center</labl>
  </catgry>
  <catgry>
    <catValu>4320</catValu>
    <labl>Church health center</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Relative/friend</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Shop</labl>
  </catgry>
  <catgry>
    <catValu>5300</catValu>
    <labl>Church</labl>
  </catgry>
  <catgry>
    <catValu>5400</catValu>
    <labl>Traditional birth attendant</labl>
  </catgry>
  <catgry>
    <catValu>5500</catValu>
    <labl>Workplace</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are not currently using contraception but intend to use a modern method in the future, FPSRCFUTR (V377) reports the intended source for their preferred future method.

The related variable FPSRCFUTRS (V378) reports the intended source for their preferred future method, in standardized response categories.</txt>
  <concept>
    <title>Future use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPSRCFUTRS" name="B_FPSRCFUTRS" files="B" intrvl="discrete">
  <labl>Source of preferred future FP method, standardized</labl>
  <imputation>Source of preferred future FP method, standardized</imputation>
  <security>Source of preferred future FP method, standardized</security>
  <embargo>Source of preferred future FP method, standardized</embargo>
  <respUnit>Source of preferred future FP method, standardized</respUnit>
  <qstn>
    <qstnLit>330) Where can you get (METHOD MENTIONED IN 329)?

NAME OF PLACE: ___

PUBLIC SECTOR

HOSPITAL 11 (GO TO 334)
MEDICAL CENTER 12(GO TO 334)
FAMILY HEALTH CENTER 13(GO TO 334)
MOTHER AND CHILD CARE CENTER 14 (GO TO 334)
DISPENSARY 15 (GO TO 334)
MATERNITY WARD 16 (GO TO 334)
PEOPLE'S PHARMACY 17 (GO TO 334)

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE 21 (GO TO 334)
CLINIC/HOSPITAL 22 (GO TO 334)
PHARMACY 23 (GO TO 334)

OTHER PRIVATE SECTOR

RELATIVE 31 (GO TO 336)
NEIGHBOR 32 (GO TO 336)

OTHER (SPECIFY): ___ 41(GO TO 336)
DON'T KNOW 98 (GO TO 332)</qstnLit>
  </qstn>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Shop, church, friend, books</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Private Pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Private Clin/Deliv</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>NGO</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Got Home/Comm delivery</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Govt Clinical/Pharm</labl>
  </catgry>
  <txt>For women who plan to use a modern contraceptive method in the future, FPSRCFUTRS (V378) reports the intended source for their preferred future method. This variable was constructed by recoding country-specific responses into standard categories that are consistent across samples.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>Future use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPEVUSE" name="B_FPEVUSE" files="B" intrvl="discrete">
  <labl>Ever use any type of FP (folk, traditional, modern)</labl>
  <imputation>Ever use any type of FP (folk, traditional, modern)</imputation>
  <security>Ever use any type of FP (folk, traditional, modern)</security>
  <embargo>Ever use any type of FP (folk, traditional, modern)</embargo>
  <respUnit>Ever use any type of FP (folk, traditional, modern)</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Never used</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Used only traditional or folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Used only traditional method</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Used only folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Used modern method</labl>
  </catgry>
  <txt>FPEVUSE (V302) is a constructed variable that reports whether the woman had ever used a family planning method and, if so, whether she had used a modern contraceptive method or only a traditional or folkloric method.  

In the DHS, modern methods are pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPEVUSPILL" name="B_FPEVUSPILL" files="B" intrvl="discrete">
  <labl>Ever use Pill for FP</labl>
  <imputation>Ever use Pill for FP</imputation>
  <security>Ever use Pill for FP</security>
  <embargo>Ever use Pill for FP</embargo>
  <respUnit>Ever use Pill for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSPILL (V305_01) indicates whether the woman has ever used the pill to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPEVUSIUD" name="B_FPEVUSIUD" files="B" intrvl="discrete">
  <labl>Ever use IUD for FP</labl>
  <imputation>Ever use IUD for FP</imputation>
  <security>Ever use IUD for FP</security>
  <embargo>Ever use IUD for FP</embargo>
  <respUnit>Ever use IUD for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSIUD (V305_02) indicates whether the woman had ever used an IUD to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPEVUSINJ" name="B_FPEVUSINJ" files="B" intrvl="discrete">
  <labl>Ever use injectable for FP</labl>
  <imputation>Ever use injectable for FP</imputation>
  <security>Ever use injectable for FP</security>
  <embargo>Ever use injectable for FP</embargo>
  <respUnit>Ever use injectable for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSINJ (V305_03) indicates whether the woman has ever used injectable contraception to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPEVUSDIA" name="B_FPEVUSDIA" files="B" intrvl="discrete">
  <labl>Ever use diaphragm for FP</labl>
  <imputation>Ever use diaphragm for FP</imputation>
  <security>Ever use diaphragm for FP</security>
  <embargo>Ever use diaphragm for FP</embargo>
  <respUnit>Ever use diaphragm for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSDIA (V305_04) indicates whether the woman had ever used the diaphragm (sometimes explicitly in conjunction with foam or jelly) to delay or avoid a pregnancy. See Comparability.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPEVUSCON" name="B_FPEVUSCON" files="B" intrvl="discrete">
  <labl>Ever use condom for FP</labl>
  <imputation>Ever use condom for FP</imputation>
  <security>Ever use condom for FP</security>
  <embargo>Ever use condom for FP</embargo>
  <respUnit>Ever use condom for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSCON (V305_05) indicates whether the woman had ever used the male condom to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPEVUSFST" name="B_FPEVUSFST" files="B" intrvl="discrete">
  <labl>Ever use female sterilization for FP</labl>
  <imputation>Ever use female sterilization for FP</imputation>
  <security>Ever use female sterilization for FP</security>
  <embargo>Ever use female sterilization for FP</embargo>
  <respUnit>Ever use female sterilization for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSFST (V305_06) indicates whether the woman had ever used female sterilization to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPEVUSWD" name="B_FPEVUSWD" files="B" intrvl="discrete">
  <labl>Ever use withdrawal for FP</labl>
  <imputation>Ever use withdrawal for FP</imputation>
  <security>Ever use withdrawal for FP</security>
  <embargo>Ever use withdrawal for FP</embargo>
  <respUnit>Ever use withdrawal for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSWD (V305_09) indicates whether the woman has ever used withdrawal to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPEVUSRHY" name="B_FPEVUSRHY" files="B" intrvl="discrete">
  <labl>Ever use rhythm for FP</labl>
  <imputation>Ever use rhythm for FP</imputation>
  <security>Ever use rhythm for FP</security>
  <embargo>Ever use rhythm for FP</embargo>
  <respUnit>Ever use rhythm for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSRHY (V305_08) indicates whether the woman had ever used rhythm (periodic abstinence) to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPEVUSMST" name="B_FPEVUSMST" files="B" intrvl="discrete">
  <labl>Ever use male sterilization for FP</labl>
  <imputation>Ever use male sterilization for FP</imputation>
  <security>Ever use male sterilization for FP</security>
  <embargo>Ever use male sterilization for FP</embargo>
  <respUnit>Ever use male sterilization for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSMST (V305_07) indicates whether the woman had ever used male sterilization to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPEVUSCHARM" name="B_FPEVUSCHARM" files="B" intrvl="discrete">
  <labl>Ever use charms or amulets for FP</labl>
  <imputation>Ever use charms or amulets for FP</imputation>
  <security>Ever use charms or amulets for FP</security>
  <embargo>Ever use charms or amulets for FP</embargo>
  <respUnit>Ever use charms or amulets for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSCHARM indicates whether the woman had ever used charms or amulets to delay or avoid a pregnancy. The complementary variable FPKNOCHARM indicates whether the woman knew about using charms or amulets as a method for family planning.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPEVUSRELIG" name="B_FPEVUSRELIG" files="B" intrvl="discrete">
  <labl>Ever use religion for FP</labl>
  <imputation>Ever use religion for FP</imputation>
  <security>Ever use religion for FP</security>
  <embargo>Ever use religion for FP</embargo>
  <respUnit>Ever use religion for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSRELIG indicates whether the woman had ever used religion, such as a religious holy person or holy book, to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPEVUSOM" name="B_FPEVUSOM" files="B" intrvl="discrete">
  <labl>Ever use other methods for FP</labl>
  <imputation>Ever use other methods for FP</imputation>
  <security>Ever use other methods for FP</security>
  <embargo>Ever use other methods for FP</embargo>
  <respUnit>Ever use other methods for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSOM (V305_10) indicates whether the woman has ever used other methods to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPSTERAGN" name="B_FPSTERAGN" files="B" intrvl="discrete">
  <labl>Thinks would have sterilization again</labl>
  <imputation>Thinks would have sterilization again</imputation>
  <security>Thinks would have sterilization again</security>
  <embargo>Thinks would have sterilization again</embargo>
  <respUnit>Thinks would have sterilization again</respUnit>
  <qstn>
    <qstnLit>607) Given your present circumstances, if you could do it all over again, do you think you/your husband would make the same decision to not have any more children?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERAGN (V619) indicates whether they (or their partners) would choose to have the operation if given the chance to do it over again.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPSTERREG" name="B_FPSTERREG" files="B" intrvl="discrete">
  <labl>Reason regrets sterilization</labl>
  <imputation>Reason regrets sterilization</imputation>
  <security>Reason regrets sterilization</security>
  <embargo>Reason regrets sterilization</embargo>
  <respUnit>Reason regrets sterilization</respUnit>
  <qstn>
    <qstnLit>609) Why do you regret it?

RESPONDENT WANTS ANOTHER CHILD 1 (GO TO 614)
PARTNER WANTS ANOTHER CHILD 2 1 (GO TO 614)
SIDE EFFECTS 3 (GO TO 614)
OTHER REASON (SPECIFY): ___ 4 (GO TO 614)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No regret</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Respondent wants a(nother) child</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Partner wants a(nother) child</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Side effects</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Child died</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Marital status changed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Operation failed</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Other reason</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERREG (V618) reports the reason (if any) they regret getting sterilized.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPSTERILAGE" name="B_FPSTERILAGE" files="B" intrvl="discrete">
  <labl>Age at sterilization (grouped)</labl>
  <imputation>Age at sterilization (grouped)</imputation>
  <security>Age at sterilization (grouped)</security>
  <embargo>Age at sterilization (grouped)</embargo>
  <respUnit>Age at sterilization (grouped)</respUnit>
  <qstn>
    <qstnLit>322) In what month and year was the sterilization operation performed?

MONTH: ___ (GO TO 336)
YEAR: ___ (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>7</catValu>
    <labl>50 - 54 years old</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Less than 25 years old</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>25 - 29 years old</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>30 - 34 years old</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>35 - 39 years old</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>40 - 44 years old</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>45 - 49 years old</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERILAGE (V320) reports their age at the time of their sterilization operation.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPSTERILPAR" name="B_FPSTERILPAR" files="B" intrvl="discrete">
  <labl>Parity at sterilization</labl>
  <imputation>Parity at sterilization</imputation>
  <security>Parity at sterilization</security>
  <embargo>Parity at sterilization</embargo>
  <respUnit>Parity at sterilization</respUnit>
  <qstn>
    <qstnLit>322) In what month and year was the sterilization operation performed?

MONTH: ___ (GO TO 336)
YEAR: ___ (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5 or more</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERILPAR (V322) reports the parity of the women at the time of their sterilization, top-coded at 5+ children.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPSTERMARDUR" name="B_FPSTERMARDUR" files="B" intrvl="discrete">
  <labl>Marital duration at time of sterilization</labl>
  <imputation>Marital duration at time of sterilization</imputation>
  <security>Marital duration at time of sterilization</security>
  <embargo>Marital duration at time of sterilization</embargo>
  <respUnit>Marital duration at time of sterilization</respUnit>
  <qstn>
    <qstnLit>322) In what month and year was the sterilization operation performed?

MONTH: ___ (GO TO 336)
YEAR: ___ (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <labl>Single, before marriage</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>0 - 4 years</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>5 - 9 years</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>10 - 14 years</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>15 - 19 years</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>20 - 24 years</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>25 - 29 years</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERMARDUR (V321) reports, in 5-year groups, the women's marital duration at the time of their sterilization.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPSTERYRAGO" name="B_FPSTERYRAGO" files="B" intrvl="discrete">
  <labl>Years since sterilization</labl>
  <imputation>Years since sterilization</imputation>
  <security>Years since sterilization</security>
  <embargo>Years since sterilization</embargo>
  <respUnit>Years since sterilization</respUnit>
  <qstn>
    <qstnLit>322) In what month and year was the sterilization operation performed?

MONTH: ___ (GO TO 336)
YEAR: ___ (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Less than 2 years</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2 - 3 years</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>4 - 5 years</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>6 - 7 years</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>8 - 9 years</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>10 or more years</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERYRAGO (V319) reports the number of years since their sterilization operation, using 2-year groups, top-coded at 10+ years.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPSTERILDTCMC" name="B_FPSTERILDTCMC" files="B" intrvl="discrete">
  <labl>Date when sterilized (CMC)</labl>
  <imputation>Date when sterilized (CMC)</imputation>
  <security>Date when sterilized (CMC)</security>
  <embargo>Date when sterilized (CMC)</embargo>
  <respUnit>Date when sterilized (CMC)</respUnit>
  <qstn>
    <qstnLit>322) In what month and year was the sterilization operation performed?

MONTH: ___ (GO TO 336)
YEAR: ___ (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERILDTCMC reports the century month code (CMC) for the date of their sterilization.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPSTERILMO" name="B_FPSTERILMO" files="B" intrvl="discrete">
  <labl>Month of sterilization</labl>
  <imputation>Month of sterilization</imputation>
  <security>Month of sterilization</security>
  <embargo>Month of sterilization</embargo>
  <respUnit>Month of sterilization</respUnit>
  <qstn>
    <qstnLit>322) In what month and year was the sterilization operation performed?

MONTH: ___ (GO TO 336)
YEAR: ___ (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERILMO reports the calendar month of their sterilization. The calendar year of their sterilization is reported in FPSTERILYR.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPSTERILYR" name="B_FPSTERILYR" files="B" intrvl="discrete">
  <labl>Year when sterilized</labl>
  <imputation>Year when sterilized</imputation>
  <security>Year when sterilized</security>
  <embargo>Year when sterilized</embargo>
  <respUnit>Year when sterilized</respUnit>
  <qstn>
    <qstnLit>322) In what month and year was the sterilization operation performed?

MONTH: ___ (GO TO 336)
YEAR: ___ (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERILYR reports the calendar year of their sterilization. The calendar month of their sterilization is reported in FPSTERILMO.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPSTERCOMP" name="B_FPSTERCOMP" files="B" intrvl="discrete">
  <labl>Completeness of information - date of sterilization</labl>
  <imputation>Completeness of information - date of sterilization</imputation>
  <security>Completeness of information - date of sterilization</security>
  <embargo>Completeness of information - date of sterilization</embargo>
  <respUnit>Completeness of information - date of sterilization</respUnit>
  <qstn>
    <qstnLit>322) In what month and year was the sterilization operation performed?

MONTH: ___ (GO TO 336)
YEAR: ___ (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Month and year given</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Month imputed, year given</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Month given, year imputed (date placed)</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>No information given (date placed)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>From calendar</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERCOMP reports the completeness of information about the date of their sterilization.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPRADIOHR" name="B_FPRADIOHR" files="B" intrvl="discrete">
  <labl>Heard FP message on radio</labl>
  <imputation>Heard FP message on radio</imputation>
  <security>Heard FP message on radio</security>
  <embargo>Heard FP message on radio</embargo>
  <respUnit>Heard FP message on radio</respUnit>
  <qstn>
    <qstnLit>336) In the past month, have you heard a message about family planning on:

The radio?
The television?

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, only once</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, more than once</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPRADIOHR (V384A) indicates whether the woman heard family planning message(s) on the radio in the last few months. Some samples specify other periods of time. See Comparability.</txt>
  <concept>
    <title>Information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPTVHR" name="B_FPTVHR" files="B" intrvl="discrete">
  <labl>Heard FP message on TV recently</labl>
  <imputation>Heard FP message on TV recently</imputation>
  <security>Heard FP message on TV recently</security>
  <embargo>Heard FP message on TV recently</embargo>
  <respUnit>Heard FP message on TV recently</respUnit>
  <qstn>
    <qstnLit>336) In the past month, have you heard a message about family planning on:

The radio?
The television?

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTVHR (V384B) indicates whether the woman heard family planning message(s) on television in the last few months. Some samples specify other periods of time. See Comparability.</txt>
  <concept>
    <title>Information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPMEDIAOK" name="B_FPMEDIAOK" files="B" intrvl="discrete">
  <labl>Acceptability of FP message on radio or TV</labl>
  <imputation>Acceptability of FP message on radio or TV</imputation>
  <security>Acceptability of FP message on radio or TV</security>
  <embargo>Acceptability of FP message on radio or TV</embargo>
  <respUnit>Acceptability of FP message on radio or TV</respUnit>
  <qstn>
    <qstnLit>337) Do you find it acceptable or not that information about family planning is provided on the radio and in newspapers?

ACCEPTABLE 1
NOT ACCEPTABLE 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <labl>Not acceptable</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Acceptable</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>FPMEDIAOK (V366) indicates whether the woman considered family planning messages on radio or television to be acceptable or unacceptable.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>Information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPKNOMODSRC" name="B_FPKNOMODSRC" files="B" intrvl="discrete">
  <labl>Know source for modern FP method</labl>
  <imputation>Know source for modern FP method</imputation>
  <security>Know source for modern FP method</security>
  <embargo>Know source for modern FP method</embargo>
  <respUnit>Know source for modern FP method</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>Doesn't know source</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Knows source for modern method</labl>
  </catgry>
  <txt>FPKNOMODSRC (V303) indicates whether the woman knew of source from which she believed she could obtain a modern method of family planning.  Whether the source existed and whether it could supply the method was not verified.  

In the DHS, the following family planning methods are considered modern methods: Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPKNOSRCCON" name="B_FPKNOSRCCON" files="B" intrvl="discrete">
  <labl>Know source of information for condom: Yes or no</labl>
  <imputation>Know source of information for condom: Yes or no</imputation>
  <security>Know source of information for condom: Yes or no</security>
  <embargo>Know source of information for condom: Yes or no</embargo>
  <respUnit>Know source of information for condom: Yes or no</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Not asked</labl>
  </catgry>
  <txt>FPKNOSRCCON (V306_05) is a dichotomous variable indicating whether the woman knew a place someone could go to get a male condom to delay or avoid pregnancy.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPKNOSRCDIA" name="B_FPKNOSRCDIA" files="B" intrvl="discrete">
  <labl>Know source of information for diaphragm: Yes or no</labl>
  <imputation>Know source of information for diaphragm: Yes or no</imputation>
  <security>Know source of information for diaphragm: Yes or no</security>
  <embargo>Know source of information for diaphragm: Yes or no</embargo>
  <respUnit>Know source of information for diaphragm: Yes or no</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Not asked</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOSRCDIA (V306_04) is a dichotomous variable indicating whether the woman knew a place someone could go to get a diaphragm/foam/jelly to delay or avoid pregnancy.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPKNOSRCFST" name="B_FPKNOSRCFST" files="B" intrvl="discrete">
  <labl>Know source of information for female sterilization: Yes or no</labl>
  <imputation>Know source of information for female sterilization: Yes or no</imputation>
  <security>Know source of information for female sterilization: Yes or no</security>
  <embargo>Know source of information for female sterilization: Yes or no</embargo>
  <respUnit>Know source of information for female sterilization: Yes or no</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Not asked</labl>
  </catgry>
  <txt>FPKNOSRCFST (V306_06) is a dichotomous variable indicating whether the woman knew a place someone could go to get female sterilization to delay or avoid pregnancy.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPKNOSRCINJ" name="B_FPKNOSRCINJ" files="B" intrvl="discrete">
  <labl>Know source of information for injectable contraception: Yes or no</labl>
  <imputation>Know source of information for injectable contraception: Yes or no</imputation>
  <security>Know source of information for injectable contraception: Yes or no</security>
  <embargo>Know source of information for injectable contraception: Yes or no</embargo>
  <respUnit>Know source of information for injectable contraception: Yes or no</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Not asked</labl>
  </catgry>
  <txt>FPKNOSRCINJ (V306_03) is a dichotomous variable indicating whether the woman knew a place someone could go to get injectable contraception to delay or avoid pregnancy.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPKNOSRCIUD" name="B_FPKNOSRCIUD" files="B" intrvl="discrete">
  <labl>Know source of information for IUD: Yes or no</labl>
  <imputation>Know source of information for IUD: Yes or no</imputation>
  <security>Know source of information for IUD: Yes or no</security>
  <embargo>Know source of information for IUD: Yes or no</embargo>
  <respUnit>Know source of information for IUD: Yes or no</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Not asked</labl>
  </catgry>
  <txt>FPKNOSRCIUD (V306_02) is a dichotomous variable indicating whether the woman knew a place someone could go to get an IUD to delay or avoid pregnancy.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPKNOSRCMST" name="B_FPKNOSRCMST" files="B" intrvl="discrete">
  <labl>Know source of information for male sterilization: Yes or no</labl>
  <imputation>Know source of information for male sterilization: Yes or no</imputation>
  <security>Know source of information for male sterilization: Yes or no</security>
  <embargo>Know source of information for male sterilization: Yes or no</embargo>
  <respUnit>Know source of information for male sterilization: Yes or no</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Not asked</labl>
  </catgry>
  <txt>FPKNOSRCMST (V306_07) is a dichotomous variable indicating whether the woman knew a place someone could go to get male sterilization to delay or avoid pregnancy.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPKNOSRCPIL" name="B_FPKNOSRCPIL" files="B" intrvl="discrete">
  <labl>Know source of information for Pill: Yes or no</labl>
  <imputation>Know source of information for Pill: Yes or no</imputation>
  <security>Know source of information for Pill: Yes or no</security>
  <embargo>Know source of information for Pill: Yes or no</embargo>
  <respUnit>Know source of information for Pill: Yes or no</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOSRCPIL (V306_01) is a dichotomous variable indicating whether the woman knew a place someone could go to get the Pill to delay or avoid pregnancy.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPKNOSRCRHY" name="B_FPKNOSRCRHY" files="B" intrvl="discrete">
  <labl>Know source of information for rhythm: Yes or no</labl>
  <imputation>Know source of information for rhythm: Yes or no</imputation>
  <security>Know source of information for rhythm: Yes or no</security>
  <embargo>Know source of information for rhythm: Yes or no</embargo>
  <respUnit>Know source of information for rhythm: Yes or no</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Not asked</labl>
  </catgry>
  <txt>FPKNOSRCRHY (V306_08) is a dichotomous variable indicating whether the woman knew a place someone could go to learn about rhythm (periodic abstinence) to delay or avoid pregnancy.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPYNOTFUS" name="B_FPYNOTFUS" files="B" intrvl="discrete">
  <labl>Why not intend to use FP in future</labl>
  <imputation>Why not intend to use FP in future</imputation>
  <security>Why not intend to use FP in future</security>
  <embargo>Why not intend to use FP in future</embargo>
  <respUnit>Why not intend to use FP in future</respUnit>
  <qstn>
    <qstnLit>327) What is the main reason you do not intend to use a method?

WANTS CHILDREN 01 (GO TO 332)
LACK OF INFORMATION 02(GO TO 332)
PARTNER DISAPPROVES 03(GO TO 332)
COST TOO MUCH 04 (GO TO 332)
SIDE EFFECTS 05 (GO TO 332)
HEALTH PROBLEMS 06 (GO TO 332)
HARD TO GET METHODS 07(GO TO 332)
RELIGION 08(GO TO 332)
OPPOSED TO FAMILY PLANNING 09(GO TO 332)
FATALIST 10(GO TO 332)
OTHER PEOPLE OPPOSED 11(GO TO 332)
INFREQUENT SEX 12(GO TO 332)
DIFFICULT TO GET PREGNANT 13 (GO TO 332)
MENOPAUSAL/HAD HYSTERECTOMY 14 (GO TO 332)
INCONVENIENT 15 (GO TO 332)
UNMARRIED 16 (GO TO 332)
OTHER (SPECIFY): ___ 17 (GO TO 332)
DON'T KNOW 98 (GO TO 332)</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>NOT MARRIED</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Not married</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Not intending to marry</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Inconsistent says not married</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>OTHER LOW FERTILITY RISK</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Not having sex</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Infrequent sex</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Menopausal or hysterectomy</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Subfecund, infecund</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Postpartum, breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Husband ill or subfecund</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>WANTS CHILDREN</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Wants more children</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Wants son</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Wants daughter</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Fatalistic</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>Wants as many children as possible</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>OPPOSITION TO USE</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Respondent opposed</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Husband opposed/makes decision on FP</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Others opposed</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>Religious prohibition</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>Cultural taboos</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>Rumors</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>LACK OF KNOWLEDGE</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Knows no method</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Knows no source</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>METHOD-RELATED</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Health concerns</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>Fear side effects</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>Lack of access</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>Cost too much</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>Inconvenient to use</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>Interfere with body</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>Sterilization concerns</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women not now using a contraceptive method and not intending to do so in the future, FPYNOTFUS (V376) reports the reason the woman doesn't intend to use family planning in the future.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

Responses are grouped into the following broad categories, each with a different first digit: not married, other low fertility risk, wants children, opposition to use, lack of knowledge, method-related, and other. Specific responses within these categories are distinguished by the second digit of the codes.</txt>
  <concept>
    <title>Why not use family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPTYPPILL" name="B_FPTYPPILL" files="B" intrvl="discrete">
  <labl>Type of method: Pill</labl>
  <imputation>Type of method: Pill</imputation>
  <security>Type of method: Pill</security>
  <embargo>Type of method: Pill</embargo>
  <respUnit>Type of method: Pill</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPPILL (V304A_01) reports whether the Pill is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPPILL (V304A_01) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPTYPIUD" name="B_FPTYPIUD" files="B" intrvl="discrete">
  <labl>Type of method: IUD</labl>
  <imputation>Type of method: IUD</imputation>
  <security>Type of method: IUD</security>
  <embargo>Type of method: IUD</embargo>
  <respUnit>Type of method: IUD</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPIUD (V304A_02) reports whether the intrauterine device (IUD) is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPIUD (V304A_02) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPTYPINJ" name="B_FPTYPINJ" files="B" intrvl="discrete">
  <labl>Type of method: Injectables</labl>
  <imputation>Type of method: Injectables</imputation>
  <security>Type of method: Injectables</security>
  <embargo>Type of method: Injectables</embargo>
  <respUnit>Type of method: Injectables</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPINJ (V304A_03) reports whether injectable contraception is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPINJ (V304A_03) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPTYPDIA" name="B_FPTYPDIA" files="B" intrvl="discrete">
  <labl>Type of method: Diaphragm</labl>
  <imputation>Type of method: Diaphragm</imputation>
  <security>Type of method: Diaphragm</security>
  <embargo>Type of method: Diaphragm</embargo>
  <respUnit>Type of method: Diaphragm</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPDIA (V304A_04) reports whether diaphragm or spermicides, such as foam or jelly, is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. Some phases combine diaphragm and spermicides in the response and some are separate; see Comparability.

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability.

Additionally, while FPTYPDIA (V304A_04) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variableÂ FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPTYPCON" name="B_FPTYPCON" files="B" intrvl="discrete">
  <labl>Type of method: Condom</labl>
  <imputation>Type of method: Condom</imputation>
  <security>Type of method: Condom</security>
  <embargo>Type of method: Condom</embargo>
  <respUnit>Type of method: Condom</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPCON (V304A_05) reports whether the male condom is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample.

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPCON (V304A_05) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPTYPFST" name="B_FPTYPFST" files="B" intrvl="discrete">
  <labl>Type of method: Female sterilization</labl>
  <imputation>Type of method: Female sterilization</imputation>
  <security>Type of method: Female sterilization</security>
  <embargo>Type of method: Female sterilization</embargo>
  <respUnit>Type of method: Female sterilization</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPFST (V304A_06) reports whether female sterilization is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPFST (V304A_06) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPTYPMST" name="B_FPTYPMST" files="B" intrvl="discrete">
  <labl>Type of method: Male sterilization</labl>
  <imputation>Type of method: Male sterilization</imputation>
  <security>Type of method: Male sterilization</security>
  <embargo>Type of method: Male sterilization</embargo>
  <respUnit>Type of method: Male sterilization</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPMST (V304A_07) reports whether male sterilization is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPMST (V304A_07) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPTYPRHY" name="B_FPTYPRHY" files="B" intrvl="discrete">
  <labl>Type of method: Rhythm method</labl>
  <imputation>Type of method: Rhythm method</imputation>
  <security>Type of method: Rhythm method</security>
  <embargo>Type of method: Rhythm method</embargo>
  <respUnit>Type of method: Rhythm method</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPRHY (V304A_08) reports whether the rhythm method (periodic abstinence) is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample.

In the standard DHS recode manuals, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability.

Additionally, while FPTYPRHY (V304A_08) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPTYPWD" name="B_FPTYPWD" files="B" intrvl="discrete">
  <labl>Type of method: Withdrawal</labl>
  <imputation>Type of method: Withdrawal</imputation>
  <security>Type of method: Withdrawal</security>
  <embargo>Type of method: Withdrawal</embargo>
  <respUnit>Type of method: Withdrawal</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPWD (V304A_09) reports whether withdrawal is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample.

In the standard DHS recode manuals, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability.

Additionally, while FPTYPWD (V304A_09) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPTYPCHARM" name="B_FPTYPCHARM" files="B" intrvl="discrete">
  <labl>Type of method: Charms or amulets</labl>
  <imputation>Type of method: Charms or amulets</imputation>
  <security>Type of method: Charms or amulets</security>
  <embargo>Type of method: Charms or amulets</embargo>
  <respUnit>Type of method: Charms or amulets</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPCHARM reports whether a charm or amulet is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability. 

Additionally, while FPTYPCHARM and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPTYPRELIG" name="B_FPTYPRELIG" files="B" intrvl="discrete">
  <labl>Type of method: Religion (Marabout or coran)</labl>
  <imputation>Type of method: Religion (Marabout or coran)</imputation>
  <security>Type of method: Religion (Marabout or coran)</security>
  <embargo>Type of method: Religion (Marabout or coran)</embargo>
  <respUnit>Type of method: Religion (Marabout or coran)</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPRELIG reports whether the use of religion, such as a religious holy person or holy book, is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the standard DHS recode manuals, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability. 

Additionally, while FPTYPRELIG and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPTYPOM" name="B_FPTYPOM" files="B" intrvl="discrete">
  <labl>Type of method: Other method</labl>
  <imputation>Type of method: Other method</imputation>
  <security>Type of method: Other method</security>
  <embargo>Type of method: Other method</embargo>
  <respUnit>Type of method: Other method</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPOM (V304A_10) reports whether any "other" method reported by the woman is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. The meaning of "other" depends on the specific response categories included in a given sample.

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPOM (V304A_10) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_FPTALKHUSNO" name="B_FPTALKHUSNO" files="B" intrvl="discrete">
  <labl>Number of times discussed FP with partner in past year</labl>
  <imputation>Number of times discussed FP with partner in past year</imputation>
  <security>Number of times discussed FP with partner in past year</security>
  <embargo>Number of times discussed FP with partner in past year</embargo>
  <respUnit>Number of times discussed FP with partner in past year</respUnit>
  <qstn>
    <qstnLit>611) How often have you talked to your husband/partner about this subject in the last 12 months?

NEVER 1
ONCE OR TWICE 2
MORE OFTEN 3</qstnLit>
  </qstn>
  <catgry>
    <labl>Never</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Once or twice</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>More often</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <txt>FPTALKHUSNO (V611) reports the number of the times the woman has recently discussed family planning with her husband/partner.</txt>
  <concept>
    <title>Discussion of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TIMESINCESEX" name="B_TIMESINCESEX" files="B" intrvl="discrete">
  <labl>Time since last intercourse</labl>
  <imputation>Time since last intercourse</imputation>
  <security>Time since last intercourse</security>
  <embargo>Time since last intercourse</embargo>
  <respUnit>Time since last intercourse</respUnit>
  <qstn>
    <qstnLit>516) When was the last time you had sexual intercourse?

DAYS: ___ 1
WEEKS: ___ 2
MONTHS: ___ 3
YEARS: ___ 4
BEFORE LAST BIRTH 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>154</catValu>
    <labl>54 days</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53 days</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52 days</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51 days</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50 days</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49 days</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48 days</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47 days</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46 days</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 days</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 days</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 days</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 days</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 days</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 day ago</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55 days</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56 days</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57 days</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58 days</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59 days</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60 days</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61 days</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62 days</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63 days</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64 days</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65 days</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66 days</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67 days</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68 days</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69 days</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70 days</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71 days</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72 days</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73 days</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74 days</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75 days</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76 days</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77 days</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78 days</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79 days</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80 days</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81 days</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82 days</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83 days</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84 days</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85 days</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86 days</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87 days</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88 days</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89 days</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90 days</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>91 days</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>92 days</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>93 days</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>94 days</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>95 days</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>96 days</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>97 days</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>Days, number inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days, number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>WEEKS</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 week</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 weeks</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 weeks</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 weeks</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 weeks</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 weeks</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 weeks</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 weeks</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 weeks</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 weeks</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 weeks</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 weeks</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 weeks</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 weeks</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 weeks</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 weeks</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 weeks</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 weeks</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 weeks</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 weeks</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 weeks</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 weeks</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 weeks</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 weeks</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 weeks</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 weeks</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 weeks</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 weeks</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 weeks</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 weeks</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 weeks</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 weeks</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 weeks</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 weeks</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35 weeks</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36 weeks</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37 weeks</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38 weeks</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39 weeks</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40 weeks</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41 weeks</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42 weeks</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43 weeks</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44 weeks</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45 weeks</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46 weeks</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47 weeks</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48 weeks</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49 weeks</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50 weeks</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51 weeks</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52 weeks</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>Weeks, inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Weeks, number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>MONTHS</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>337</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>338</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>339</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>341</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>342</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>343</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>344</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>345</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>346</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>347</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>348</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>349</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>352</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>353</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>354</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>355</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>356</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>357</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>358</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>359</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>361</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>362</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>363</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>364</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>365</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>366</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>367</catValu>
    <labl>67 months</labl>
  </catgry>
  <catgry>
    <catValu>368</catValu>
    <labl>68 months</labl>
  </catgry>
  <catgry>
    <catValu>369</catValu>
    <labl>69 months</labl>
  </catgry>
  <catgry>
    <catValu>370</catValu>
    <labl>70 months</labl>
  </catgry>
  <catgry>
    <catValu>371</catValu>
    <labl>71 months</labl>
  </catgry>
  <catgry>
    <catValu>372</catValu>
    <labl>72 months</labl>
  </catgry>
  <catgry>
    <catValu>373</catValu>
    <labl>73 months</labl>
  </catgry>
  <catgry>
    <catValu>374</catValu>
    <labl>74 months</labl>
  </catgry>
  <catgry>
    <catValu>375</catValu>
    <labl>75 months</labl>
  </catgry>
  <catgry>
    <catValu>376</catValu>
    <labl>76 months</labl>
  </catgry>
  <catgry>
    <catValu>377</catValu>
    <labl>77 months</labl>
  </catgry>
  <catgry>
    <catValu>378</catValu>
    <labl>78 months</labl>
  </catgry>
  <catgry>
    <catValu>379</catValu>
    <labl>79 months</labl>
  </catgry>
  <catgry>
    <catValu>380</catValu>
    <labl>80 months</labl>
  </catgry>
  <catgry>
    <catValu>381</catValu>
    <labl>81 months</labl>
  </catgry>
  <catgry>
    <catValu>382</catValu>
    <labl>82 months</labl>
  </catgry>
  <catgry>
    <catValu>383</catValu>
    <labl>83 months</labl>
  </catgry>
  <catgry>
    <catValu>384</catValu>
    <labl>84 months</labl>
  </catgry>
  <catgry>
    <catValu>385</catValu>
    <labl>85 months</labl>
  </catgry>
  <catgry>
    <catValu>386</catValu>
    <labl>86 months</labl>
  </catgry>
  <catgry>
    <catValu>387</catValu>
    <labl>87 months</labl>
  </catgry>
  <catgry>
    <catValu>388</catValu>
    <labl>88 months</labl>
  </catgry>
  <catgry>
    <catValu>389</catValu>
    <labl>89 months</labl>
  </catgry>
  <catgry>
    <catValu>390</catValu>
    <labl>90 months</labl>
  </catgry>
  <catgry>
    <catValu>391</catValu>
    <labl>91 months</labl>
  </catgry>
  <catgry>
    <catValu>392</catValu>
    <labl>92 months</labl>
  </catgry>
  <catgry>
    <catValu>393</catValu>
    <labl>93 months</labl>
  </catgry>
  <catgry>
    <catValu>394</catValu>
    <labl>94 months</labl>
  </catgry>
  <catgry>
    <catValu>395</catValu>
    <labl>95 months</labl>
  </catgry>
  <catgry>
    <catValu>396</catValu>
    <labl>96 months</labl>
  </catgry>
  <catgry>
    <catValu>397</catValu>
    <labl>97 months</labl>
  </catgry>
  <catgry>
    <catValu>398</catValu>
    <labl>Months, inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Months, number missing</labl>
  </catgry>
  <catgry>
    <catValu>400</catValu>
    <labl>YEARS</labl>
  </catgry>
  <catgry>
    <catValu>401</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>402</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>403</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>404</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>405</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>406</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>407</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>408</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>409</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>410</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>411</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>412</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>413</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>414</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>415</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>416</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>417</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>418</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>419</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>420</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>421</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>422</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>423</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>424</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>425</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>426</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>427</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>428</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>429</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>430</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>431</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>432</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>433</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>434</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>435</catValu>
    <labl>35 years</labl>
  </catgry>
  <catgry>
    <catValu>436</catValu>
    <labl>36 years</labl>
  </catgry>
  <catgry>
    <catValu>437</catValu>
    <labl>37 years</labl>
  </catgry>
  <catgry>
    <catValu>438</catValu>
    <labl>38 years</labl>
  </catgry>
  <catgry>
    <catValu>439</catValu>
    <labl>39 years</labl>
  </catgry>
  <catgry>
    <catValu>440</catValu>
    <labl>40 years</labl>
  </catgry>
  <catgry>
    <catValu>441</catValu>
    <labl>41 years</labl>
  </catgry>
  <catgry>
    <catValu>442</catValu>
    <labl>42 years</labl>
  </catgry>
  <catgry>
    <catValu>443</catValu>
    <labl>43 years</labl>
  </catgry>
  <catgry>
    <catValu>444</catValu>
    <labl>44 years</labl>
  </catgry>
  <catgry>
    <catValu>445</catValu>
    <labl>45 years</labl>
  </catgry>
  <catgry>
    <catValu>448</catValu>
    <labl>48 years</labl>
  </catgry>
  <catgry>
    <catValu>449</catValu>
    <labl>49 years</labl>
  </catgry>
  <catgry>
    <catValu>450</catValu>
    <labl>50+ years</labl>
  </catgry>
  <catgry>
    <catValu>499</catValu>
    <labl>Years, number missing</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>With former husband</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>Within last 4 weeks</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Before last birth</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>446</catValu>
    <labl>46 years</labl>
  </catgry>
  <catgry>
    <catValu>447</catValu>
    <labl>47 years</labl>
  </catgry>
  <txt>TIMESINCESEX (V527) reports how many days, weeks, months or years had passed since the woman had sexual intercourse with her most recent sexual partner.</txt>
  <concept>
    <title>Recent sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TIMESINCESEXD" name="B_TIMESINCESEXD" files="B" intrvl="discrete">
  <labl>Time since last intercourse in days</labl>
  <imputation>Time since last intercourse in days</imputation>
  <security>Time since last intercourse in days</security>
  <embargo>Time since last intercourse in days</embargo>
  <respUnit>Time since last intercourse in days</respUnit>
  <qstn>
    <qstnLit>516) When was the last time you had sexual intercourse?

DAYS: ___ 1
WEEKS: ___ 2
MONTHS: ___ 3
YEARS: ___ 4
BEFORE LAST BIRTH 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31+ days</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>Not married/no regular partner</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>Within last 4 weeks</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>Before last birth</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>With former husband</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TIMESINCESEXD (V528) reports the number of days that have passed since the respondent last had sexual intercourse. Durations of more than 30 days are grouped into "31+."

If the respondent reported having sexual intercourse in the last 4 weeks but replied that her last sexual intercourse was one month before the interview (in TIMESINCESEX (V527), this response is recoded to "30" in TIMESINCESEXD. In all other cases, a response of "One month" in TIMESINCESEX is coded as "31+."</txt>
  <concept>
    <title>Recent sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TIMESINCESEXM" name="B_TIMESINCESEXM" files="B" intrvl="discrete">
  <labl>Time since last intercourse in months (imputed)</labl>
  <imputation>Time since last intercourse in months (imputed)</imputation>
  <security>Time since last intercourse in months (imputed)</security>
  <embargo>Time since last intercourse in months (imputed)</embargo>
  <respUnit>Time since last intercourse in months (imputed)</respUnit>
  <qstn>
    <qstnLit>516) When was the last time you had sexual intercourse?

DAYS: ___ 1
WEEKS: ___ 2
MONTHS: ___ 3
YEARS: ___ 4
BEFORE LAST BIRTH 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>No partner</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>With former husband</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Before last birth</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TIMESINCESEXM (V529) reports the computed time (in months) since the respondent last had sexual intercourse. 

This variable's value is computed from the responses in TIMESINCESEX (V527), with durations exceeding the interval since the last birth recoded as "Before last birth."</txt>
  <concept>
    <title>Recent sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TIMESINCESEXFLAG" name="B_TIMESINCESEXFLAG" files="B" intrvl="discrete">
  <labl>Flag for time since last sex (months, imputed)</labl>
  <imputation>Flag for time since last sex (months, imputed)</imputation>
  <security>Flag for time since last sex (months, imputed)</security>
  <embargo>Flag for time since last sex (months, imputed)</embargo>
  <respUnit>Flag for time since last sex (months, imputed)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Duration greater than time since last birth and did not report pp abstinence</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Duration plus abstinence after last birth greater than time since last birth</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Reported, but did not resume sex after last birth</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Before last birth, but no births</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Before last birth, but currently pregnant</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Before last birth, but resumed sex after last birth</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported but before last pregnancy</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported but inconsistent with times had sex in past 4 weeks</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported but before last birth</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TIMESINCESEXFLAG (V530) is a flag variable reporting the type of problem found when editing responses about the time that has passed since the respondent last had sexual intercourse (in TIMESINCESEXM (V529)).

Below are descriptions of each code:

0 = No flag
1 = Duration reported is greater than the interval since the last birth, and the respondent did not say in the maternity section (PPABSTAINNOW (V406)) that she is still abstaining from sexual relations since her last birth
2 = Duration reported plus the duration of abstinence after the last birth (PPABMO_01 (M8_1)) is greater than the interval since the last birth
3 = Duration reported, but the respondent has not resumed sexual intercourse since the last birth
4 = Respondent reported last intercourse was before her last birth, but she has never given birth
5 = Respondent reported last intercourse was before her last birth, but she was currently pregnant (PREGNANT (V213).
6 = Respondent reported last intercourse was before her last birth, but she reported in the maternity section that she had resumed sexual intercourse after her last birth
7 = Respondent reported a duration since her last intercourse, but this would place her last intercourse before her last pregnancy
8 = Respondent reported a duration since her last intercourse, but this response was inconsistent with her response concerning the number of times she had sexual intercourse in the 4 weeks preceding the survey (SX4WKX (V526))
9 = Duration reported, but would place her last sexual intercourse before her last birth</txt>
  <concept>
    <title>Recent sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_SX4WKNO" name="B_SX4WKNO" files="B" intrvl="discrete">
  <labl>Times had sex in last 4 weeks</labl>
  <imputation>Times had sex in last 4 weeks</imputation>
  <security>Times had sex in last 4 weeks</security>
  <embargo>Times had sex in last 4 weeks</embargo>
  <respUnit>Times had sex in last 4 weeks</respUnit>
  <qstn>
    <qstnLit>514) Now we need some details about your sexual activity in order to get a better understanding of contraception and fertility.

How many times did you have sexual intercourse in the last four weeks?

NUMBER OF TIMES: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>95+</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>SX4WKNO (V526) reports the number of times the respondent had sexual intercourse in last 4 weeks.</txt>
  <concept>
    <title>Recent sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_SX4WKAVG" name="B_SX4WKAVG" files="B" intrvl="discrete">
  <labl>Times respondent usually has sex in a month</labl>
  <imputation>Times respondent usually has sex in a month</imputation>
  <security>Times respondent usually has sex in a month</security>
  <embargo>Times respondent usually has sex in a month</embargo>
  <respUnit>Times respondent usually has sex in a month</respUnit>
  <qstn>
    <qstnLit>515) How many times in a month do you usually have sexual intercourse?

NUMBER OF TIMES: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>95+</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>SX4WKAVG (V533) reports the number of times the respondent usually has sex in a month.</txt>
  <concept>
    <title>Recent sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_AGE1STSEX" name="B_AGE1STSEX" files="B" intrvl="discrete">
  <labl>Age at first intercourse</labl>
  <imputation>Age at first intercourse</imputation>
  <security>Age at first intercourse</security>
  <embargo>Age at first intercourse</embargo>
  <respUnit>Age at first intercourse</respUnit>
  <qstn>
    <qstnLit>517) How old were you when you first had sexual intercourse?

AGE: ___
FIRST TIME WHEN MARRIED 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Not had intercourse</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>Refused to respond</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>At first union</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>AGE1STSEX (V525) indicates the woman's self-reported age for the first time she had sexual intercourse.</txt>
  <concept>
    <title>First or ever sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_AGE1STSEXIMP" name="B_AGE1STSEXIMP" files="B" intrvl="discrete">
  <labl>Age at first intercourse (imputed)</labl>
  <imputation>Age at first intercourse (imputed)</imputation>
  <security>Age at first intercourse (imputed)</security>
  <embargo>Age at first intercourse (imputed)</embargo>
  <respUnit>Age at first intercourse (imputed)</respUnit>
  <qstn>
    <qstnLit>517) How old were you when you first had sexual intercourse?

AGE: ___
FIRST TIME WHEN MARRIED 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Not had sex</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Refused to respond</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>AGE1STSEXIMP (V531) reports the respondent's age at first sexual intercourse.

This variable is the same as AGE1STSEX (V525), except for women who reported their first sexual intercourse was at the time of their union. For these women, the age at first sex is taken from the age at first union. In cases where the age at first sex was inconsistent with the age at conception of the first child, but only by one year, the age at first sex was reduced by one year.</txt>
  <concept>
    <title>First or ever sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_AGE1STSEXFLAG" name="B_AGE1STSEXFLAG" files="B" intrvl="discrete">
  <labl>Flag for age at first intercourse</labl>
  <imputation>Flag for age at first intercourse</imputation>
  <security>Flag for age at first intercourse</security>
  <embargo>Flag for age at first intercourse</embargo>
  <respUnit>Flag for age at first intercourse</respUnit>
  <catgry>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>After interview</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>After conception by 1 year or more</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>After conception by less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>At marriage, but never married</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>At marriage, but after conception</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>After marriage</labl>
  </catgry>
  <txt>AGE1STSEXFLAG (V532) is a flag variable reporting the type of inconsistency found when editing responses about when the respondent first had sexual intercourse.

Below are descriptions of each code:

0 = No flag
1 = Respondent reported age at first sexual intercourse that exceeds her current age (AGE (V012))
2 = Respondent reported her age at first sexual intercourse as occurring more than one year after the conception of her first child
3 = Respondent reported her age at first sexual intercourse as occurring up to one year after the conception of her first child
4 = Respondent reported that her first sexual intercourse was at the time of her first marriage, but the respondent was never married (EVERMARRIED (V535))
5 = Respondent reported that her first sexual intercourse was at the time of her first marriage, but her first marriage occurred after the conception of her first child
6 = Respondent reported her first sexual intercourse as being some time after her first marriage</txt>
  <concept>
    <title>First or ever sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_DELCESRLAST" name="B_DELCESRLAST" files="B" intrvl="discrete">
  <labl>Last birth caesarean section</labl>
  <imputation>Last birth caesarean section</imputation>
  <security>Last birth caesarean section</security>
  <embargo>Last birth caesarean section</embargo>
  <respUnit>Last birth caesarean section</respUnit>
  <qstn>
    <qstnLit>414) Was (NAME) delivered by caesarian section?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the three to five years before the survey, DELCESRLAST (V401) indicates whether the last-born child was delivered by caesarean section. 

When children or births are the unit of analysis, this variable describes a characteristic of the mother, which causes allchildren of the mother to be coded the same way.

Question wording varies slightly across samples. See Comparability.</txt>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PPAMENNOW" name="B_PPAMENNOW" files="B" intrvl="discrete">
  <labl>Woman currently postpartum amenorrheic</labl>
  <imputation>Woman currently postpartum amenorrheic</imputation>
  <security>Woman currently postpartum amenorrheic</security>
  <embargo>Woman currently postpartum amenorrheic</embargo>
  <respUnit>Woman currently postpartum amenorrheic</respUnit>
  <qstn>
    <qstnLit>418) FOR MOST RECENT BIRTH ONLY: Has your period returned after the birth of (NAME)?

YES 1(GO TO 420)
NO 2 (GO TO 421)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>PPAMENNOW (V405) reports whether the woman is currently postpartum amenorrheic. This variable is created from the maternity history by checking if menstruation resumed after birth. Women who are currently pregnant (irrespective of whether the woman's period returned after her last birth) and women who did not have births in the last three to five years are automatically reported as not currently amenorrheic, and coded "No" (code 0). 

When children or births are the unit of analysis, this variable describes a characteristic of the mother, which causes all children of the mother to be coded the same way.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PPABSTAINNOW" name="B_PPABSTAINNOW" files="B" intrvl="discrete">
  <labl>Woman currently postpartum abstaining</labl>
  <imputation>Woman currently postpartum abstaining</imputation>
  <security>Woman currently postpartum abstaining</security>
  <embargo>Woman currently postpartum abstaining</embargo>
  <respUnit>Woman currently postpartum abstaining</respUnit>
  <qstn>
    <qstnLit>422) FOR MOST RECENT BIRTH: Have you resumed sexual relations since the birth of (NAME)?

YES 1
NO 2 (GO TO 424)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <txt>PPABSTAINNOW (V406) reports whether the woman is currently postpartum abstaining from sex. This variable is created from the maternity history by checking if the respondent has resumed sexual relations since her last birth. Women who did not have births in the last three to five years are automatically reported as not currently abstaining, and coded "No" (code 0). 

When children or births are the unit of analysis, this variable describes a characteristic of the mother, which causes all children of the mother to be coded the same way.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_IDEALPOSTPT" name="B_IDEALPOSTPT" files="B" intrvl="discrete">
  <labl>Ideal period for post-partum abstinence</labl>
  <imputation>Ideal period for post-partum abstinence</imputation>
  <security>Ideal period for post-partum abstinence</security>
  <embargo>Ideal period for post-partum abstinence</embargo>
  <respUnit>Ideal period for post-partum abstinence</respUnit>
  <qstn>
    <qstnLit>614) After childbirth, how much time should couples wait before starting to have sexual relations again?

MONTHS: ___ 1
YEARS: ___ 2
OTHER (SPECIFY): ___ 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>079</catValu>
    <labl>79 days</labl>
  </catgry>
  <catgry>
    <catValu>078</catValu>
    <labl>78 days</labl>
  </catgry>
  <catgry>
    <catValu>077</catValu>
    <labl>77 days</labl>
  </catgry>
  <catgry>
    <catValu>076</catValu>
    <labl>76 days</labl>
  </catgry>
  <catgry>
    <catValu>075</catValu>
    <labl>75 days</labl>
  </catgry>
  <catgry>
    <catValu>074</catValu>
    <labl>74 days</labl>
  </catgry>
  <catgry>
    <catValu>073</catValu>
    <labl>73 days</labl>
  </catgry>
  <catgry>
    <catValu>072</catValu>
    <labl>72 days</labl>
  </catgry>
  <catgry>
    <catValu>071</catValu>
    <labl>71 days</labl>
  </catgry>
  <catgry>
    <catValu>070</catValu>
    <labl>70 days</labl>
  </catgry>
  <catgry>
    <catValu>069</catValu>
    <labl>69 days</labl>
  </catgry>
  <catgry>
    <catValu>068</catValu>
    <labl>68 days</labl>
  </catgry>
  <catgry>
    <catValu>067</catValu>
    <labl>67 days</labl>
  </catgry>
  <catgry>
    <catValu>066</catValu>
    <labl>66 days</labl>
  </catgry>
  <catgry>
    <catValu>065</catValu>
    <labl>65 days</labl>
  </catgry>
  <catgry>
    <catValu>064</catValu>
    <labl>64 days</labl>
  </catgry>
  <catgry>
    <catValu>063</catValu>
    <labl>63 days</labl>
  </catgry>
  <catgry>
    <catValu>062</catValu>
    <labl>62 days</labl>
  </catgry>
  <catgry>
    <catValu>061</catValu>
    <labl>61 days</labl>
  </catgry>
  <catgry>
    <catValu>000</catValu>
    <labl>Less than one day</labl>
  </catgry>
  <catgry>
    <catValu>001</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>002</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>003</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>004</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>005</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>006</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>007</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>008</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>009</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>010</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>011</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>012</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>013</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>014</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>015</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>016</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>017</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>018</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>019</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>020</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>021</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>022</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>023</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>024</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>025</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>026</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>027</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>028</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>029</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>030</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>031</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>032</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>033</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>034</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>035</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>036</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>037</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>038</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>039</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>040</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>041</catValu>
    <labl>41 days</labl>
  </catgry>
  <catgry>
    <catValu>042</catValu>
    <labl>42 days</labl>
  </catgry>
  <catgry>
    <catValu>043</catValu>
    <labl>43 days</labl>
  </catgry>
  <catgry>
    <catValu>044</catValu>
    <labl>44 days</labl>
  </catgry>
  <catgry>
    <catValu>045</catValu>
    <labl>45 days</labl>
  </catgry>
  <catgry>
    <catValu>046</catValu>
    <labl>46 days</labl>
  </catgry>
  <catgry>
    <catValu>047</catValu>
    <labl>47 days</labl>
  </catgry>
  <catgry>
    <catValu>048</catValu>
    <labl>48 days</labl>
  </catgry>
  <catgry>
    <catValu>049</catValu>
    <labl>49 days</labl>
  </catgry>
  <catgry>
    <catValu>050</catValu>
    <labl>50 days</labl>
  </catgry>
  <catgry>
    <catValu>051</catValu>
    <labl>51 days</labl>
  </catgry>
  <catgry>
    <catValu>052</catValu>
    <labl>52 days</labl>
  </catgry>
  <catgry>
    <catValu>053</catValu>
    <labl>53 days</labl>
  </catgry>
  <catgry>
    <catValu>054</catValu>
    <labl>54 days</labl>
  </catgry>
  <catgry>
    <catValu>055</catValu>
    <labl>55 days</labl>
  </catgry>
  <catgry>
    <catValu>056</catValu>
    <labl>56 days</labl>
  </catgry>
  <catgry>
    <catValu>057</catValu>
    <labl>57 days</labl>
  </catgry>
  <catgry>
    <catValu>058</catValu>
    <labl>58 days</labl>
  </catgry>
  <catgry>
    <catValu>059</catValu>
    <labl>59 days</labl>
  </catgry>
  <catgry>
    <catValu>060</catValu>
    <labl>60 days</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than one month</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67 months</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68 months</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69 months</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70 months</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71 months</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72 months</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73 months</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74 months</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75 months</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76 months</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77 months</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78 months</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79 months</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80 months</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81 months</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82 months</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83 months</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84 months</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85 months</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86 months</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87 months</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88 months</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89 months</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90 months</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>91 months</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>92 months</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>93 months</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>94 months</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>95 months</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>96 months</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>97 months</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>98 months</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Months, unspecified number</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than one year</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35+ years</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Years, unspecified number</labl>
  </catgry>
  <catgry>
    <catValu>992</catValu>
    <labl>Up to couple</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>After weaning</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>After period returns</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Non-numeric response</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>080</catValu>
    <labl>80 days</labl>
  </catgry>
  <catgry>
    <catValu>081</catValu>
    <labl>81 days</labl>
  </catgry>
  <catgry>
    <catValu>082</catValu>
    <labl>82 days</labl>
  </catgry>
  <catgry>
    <catValu>083</catValu>
    <labl>83 days</labl>
  </catgry>
  <catgry>
    <catValu>084</catValu>
    <labl>84 days</labl>
  </catgry>
  <catgry>
    <catValu>085</catValu>
    <labl>85 days</labl>
  </catgry>
  <catgry>
    <catValu>086</catValu>
    <labl>86 days</labl>
  </catgry>
  <catgry>
    <catValu>087</catValu>
    <labl>87 days</labl>
  </catgry>
  <catgry>
    <catValu>088</catValu>
    <labl>88 days</labl>
  </catgry>
  <catgry>
    <catValu>089</catValu>
    <labl>89 days</labl>
  </catgry>
  <catgry>
    <catValu>090</catValu>
    <labl>90 days</labl>
  </catgry>
  <txt>IDEALPOSTPT (V608) reports what the woman thinks is the ideal duration for a couple to wait before starting sexual relations after the birth of a child.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_IDEALPOSTPT2" name="B_IDEALPOSTPT2" files="B" intrvl="discrete">
  <labl>Ideal period for post-partum abstinence (months and years only)</labl>
  <imputation>Ideal period for post-partum abstinence (months and years only)</imputation>
  <security>Ideal period for post-partum abstinence (months and years only)</security>
  <embargo>Ideal period for post-partum abstinence (months and years only)</embargo>
  <respUnit>Ideal period for post-partum abstinence (months and years only)</respUnit>
  <qstn>
    <qstnLit>614) After childbirth, how much time should couples wait before starting to have sexual relations again?

MONTHS: ___ 1
YEARS: ___ 2
OTHER (SPECIFY): ___ 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than one month</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67 months</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68 months</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69 months</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70 months</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71 months</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72 months</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73 months</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74 months</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75 months</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76 months</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77 months</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78 months</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79 months</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80 months</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81 months</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82 months</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83 months</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84 months</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85 months</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86 months</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87 months</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88 months</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89 months</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90 months</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>91 months</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>92 months</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>93 months</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>94 months</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>95 months</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>96 months</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>97 months</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>98 months</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Months, unspecified number</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than one year</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35+ years</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Years, unspecified number</labl>
  </catgry>
  <catgry>
    <catValu>992</catValu>
    <labl>Up to couple</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>After weaning</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>After period returns</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Non-numeric response</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>IDEALPOSTPT2 reports what the woman thinks is the ideal duration for a couple to wait before starting sexual relations after the birth of a child. Responses are given in month or year units; the complementary variable IDEALPOSTPT preserves the detailed responses given in days for a minority of samples.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_SEXBRSTFD" name="B_SEXBRSTFD" files="B" intrvl="discrete">
  <labl>Alright to have sex while breastfeeding</labl>
  <imputation>Alright to have sex while breastfeeding</imputation>
  <security>Alright to have sex while breastfeeding</security>
  <embargo>Alright to have sex while breastfeeding</embargo>
  <respUnit>Alright to have sex while breastfeeding</respUnit>
  <qstn>
    <qstnLit>615) Should a mother wait until she has completely stopped breastfeeding before starting to have sexual relations again, or doesn't it matter?

WAIT 1
DOESN'T MATTER 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Wait</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Doesn't matter</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>SEXBRSTFD (V609) indicates whether the woman thinks mothers should wait until they have stopped breastfeeding before resuming sexual relations after the birth of a child.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_MATERNITYIDX" name="B_MATERNITYIDX" files="B" intrvl="discrete">
  <labl>Number of children in maternity history</labl>
  <imputation>Number of children in maternity history</imputation>
  <security>Number of children in maternity history</security>
  <embargo>Number of children in maternity history</embargo>
  <respUnit>Number of children in maternity history</respUnit>
  <qstn>
    <qstnLit>402) ENTER THE LINE NUMBER, NAME, AND SURVIVAL STATUS OF EACH BIRTH SINCE JANUARY 1987 IN THE TABLE.

ASK THE QUESTIONS OF ALL THESE BIRTHS, BEGINNING WITH THE LAST BIRTH.

Now I would like to ask you some more questions about the health of all of the children you have had in the past 5 years. We will talk about one child at a time.

LINE NUMBER FROM QUESTION 212: ___

FROM QUESTION 212 AND QUESTION 216:

NAME: ___

LIVING: ___ (GO TO 403)
DECEASED: ___ (GO TO 403)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6</labl>
  </catgry>
  <txt>MATERNITYIDX (V417) reports the number of entries in the pregnancy and postnatal care history for a female respondent. This number is typically equal to the number of births in the three (BIRTHSTOT3YR (V238)) or five (BIRTHSIN5YRS (V208) years before the survey. While there is, theoretically, no limit to the number of births recorded in BIRTHSTOT3YR and BIRTHSIN5YRS, MATERNITYIDX is actually limited to the number of columns that can be completed on the survey form. In most cases, MATERNITYIDX is capped at six.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_HEALTHIDX" name="B_HEALTHIDX" files="B" intrvl="discrete">
  <labl>Number of children in immunization/health history</labl>
  <imputation>Number of children in immunization/health history</imputation>
  <security>Number of children in immunization/health history</security>
  <embargo>Number of children in immunization/health history</embargo>
  <respUnit>Number of children in immunization/health history</respUnit>
  <qstn>
    <qstnLit>441) ENTER THE LINE NUMBER AND NAME OF EACH BIRTH SINCE JANUARY 1987 IN THE TABLE. ASK THE QUESTIONS ABOUT ALL OF THESE BIRTHS. BEGIN WITH THE LAST BIRTH (IF THERE ARE MORE THAN 3 BIRTHS, USE ADDITIONAL FORMS).

LINE NUMBER FROM QUESTION 212: ___

FROM QUESTION 212 AND QUESTION 216:

NAME: ___

LIVING: ___
DECEASED: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6</labl>
  </catgry>
  <txt>HEALTHIDX (V418) reports the number of entries (number of children) in the health or immunization history. This number is typically equal to the number of births in the three (BIRTHSTOT3YR (V238)) or five (BIRTHSIN5YRS (V208) years before the survey. While there is, theoretically, no limit to the number of births recorded in BIRTHSTOT3YR and BIRTHSIN5YRS, HEALTHIDX is actually limited to the number of columns that can be completed on the survey form. In most cases, HEALTHIDX is capped at six.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BIOIDX" name="B_BIOIDX" files="B" intrvl="discrete">
  <labl>Number of children in height and weight table</labl>
  <imputation>Number of children in height and weight table</imputation>
  <security>Number of children in height and weight table</security>
  <embargo>Number of children in height and weight table</embargo>
  <respUnit>Number of children in height and weight table</respUnit>
  <qstn>
    <qstnLit>902) LINE NUMBER FROM QUESTION 212:

LINE NUMBER: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6</labl>
  </catgry>
  <txt>BIOIDX (V419) reports the number of entries (number of children) in the height and weight table. This number is typically equal to the number of births in the three (BIRTHSTOT3YR (V238)) or five (BIRTHSIN5YRS (V208) years before the survey. While there is, theoretically, no limit to the number of births recorded in BIRTHSTOT3YR and BIRTHSIN5YRS, BIOIDX is actually limited to the number of columns on the survey form that can be completed. In most cases, BIOIDX is capped at six.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BFEEDNITE" name="B_BFEEDNITE" files="B" intrvl="discrete">
  <labl>Times mother breastfed last child during previous night</labl>
  <imputation>Times mother breastfed last child during previous night</imputation>
  <security>Times mother breastfed last child during previous night</security>
  <embargo>Times mother breastfed last child during previous night</embargo>
  <respUnit>Times mother breastfed last child during previous night</respUnit>
  <qstn>
    <qstnLit>429) FOR MOST RECENT BIRTH: How many times did you breastfeed last night between sunset and sunrise?

(IF ANSWER IS NOT NUMERIC, PROBE TO EVALUATE NUMBER)

NUMBER OF NIGHT TIME FEEDINGS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40+</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>On demand</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years and whose last-born child is still breastfeeding, BFEEDNITE (V407) reports how many times the mother breastfed that child the previous night between sunset and sunrise. 

When women are the unit of analysis, IPUMS-DHS users may also use BRSFEDNITE_01 (M35_01), which reports how many times the woman breastfed her last-born child the previous night.

When children are the unit of analysis, BFEEDNITE describes a characteristic of the mother, which causes all young children of the mother to be coded the same way. Thus, a response of a certain number of times in BFEEDNITE does not necessarily indicate that a particular child whose record is being analyzed was breastfed that many times during the previous night. IPUMS-DHS users should instead employ, when available, the variable BRSFEDNITE (M35) to determine how many times the specific child under analysis was breastfed during the previous night.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BFEEDAY" name="B_BFEEDAY" files="B" intrvl="discrete">
  <labl>Times mother breastfed last child during previous day</labl>
  <imputation>Times mother breastfed last child during previous day</imputation>
  <security>Times mother breastfed last child during previous day</security>
  <embargo>Times mother breastfed last child during previous day</embargo>
  <respUnit>Times mother breastfed last child during previous day</respUnit>
  <qstn>
    <qstnLit>430) FOR MOST RECENT BIRTH: How many times did you breastfeed yesterday, during the daylight hours?

(IF ANSWER IS NOT NUMERIC, PROBE TO EVALUATE NUMBER)

NUMBER OF DAY LIGHT FEEDINGS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40+</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>On demand, non-numeric response</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years and whose last-born child is still breastfeeding, BFEEDAY (V408) reports how many times the mother breastfed that child the previous day during daylight hours. 

When women are the unit of analysis, IPUMS-DHS users may also use BRSFEDAY_01 (M36_01), which reports how many times the woman breastfed her last-born child the previous day during daylight hours.

When children are the unit of analysis, BFEEDAY describes a characteristic of the mother, which causes all young children of the mother to be coded the same way. Thus, a response of a certain number of times in BFEEDAY does not necessarily indicate that a child whose record is being analyzed was personally breastfed that many times during the previous day. IPUMS-DHS users should instead employ, when available, the variable BRSFEDAY (M36) to determine how many times the specific child under analysis was breastfed during the previous day.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BOTTLE24H" name="B_BOTTLE24H" files="B" intrvl="discrete">
  <labl>Mother fed last-born child from bottle with nipple in last day or night</labl>
  <imputation>Mother fed last-born child from bottle with nipple in last day or night</imputation>
  <security>Mother fed last-born child from bottle with nipple in last day or night</security>
  <embargo>Mother fed last-born child from bottle with nipple in last day or night</embargo>
  <respUnit>Mother fed last-born child from bottle with nipple in last day or night</respUnit>
  <qstn>
    <qstnLit>439) Did (NAME) drink anything from a baby bottle yesterday or last night?

YES 1
NO 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years and whose last-born child is still alive, BOTTLE24H (V415) indicates whether the last-born child drank anything from a bottle with a nipple during the previous day and night. 

When women are the unit of analysis, IPUMS-DHS users may also use BRSFEDBOT_01 (M38_01), which also indicates whether the woman gave her last-born child anything from a bottle with a nipple during the previous day and night.

When children are the unit of analysis, BOTTLE24H describes a characteristic of the mother, which causes all young children of the mother to be coded the same way. If the mother reported that she fed her last-born child with a bottle with a nipple during the previous day or night, all of her children in the data are coded as "yes," including any children who have died or who live elsewhere. 

When children are the unit of analysis, a positive response in BOTTLE24H thus does not necessarily indicate that a particular child was actually fed with a bottle with a nipple during the previous day or night. IPUMS-DHS users should instead employ, when available, the variable BRSFEDBOT (M38) to determine whether the specific child in question actually drank anything from a bottle with a nipple during the previous day and night.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BFEEDANYNOW" name="B_BFEEDANYNOW" files="B" intrvl="discrete">
  <labl>Woman currently breastfeeding any child</labl>
  <imputation>Woman currently breastfeeding any child</imputation>
  <security>Woman currently breastfeeding any child</security>
  <embargo>Woman currently breastfeeding any child</embargo>
  <respUnit>Woman currently breastfeeding any child</respUnit>
  <qstn>
    <qstnLit>428) FOR MOST RECENT BIRTH: Do you still breastfeed (NAME)?

YES 1
NO 2 (GO TO 433)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BFEEDANYNOW (V404) indicates whether the woman is currently breastfeeding. If no child was born in the last three to five years, the respondent is assumed to not be breastfeeding. 

When children or births are the unit of analysis, this variable describes a characteristic of the mother, which causes all children of the mother to be coded the same way.

This variable has some variation in how current breastfeeding is determined. See Comparability.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BFEEDST" name="B_BFEEDST" files="B" intrvl="discrete">
  <labl>When mother first put last-born child to breast</labl>
  <imputation>When mother first put last-born child to breast</imputation>
  <security>When mother first put last-born child to breast</security>
  <embargo>When mother first put last-born child to breast</embargo>
  <respUnit>When mother first put last-born child to breast</respUnit>
  <qstn>
    <qstnLit>426) FOR MOST RECENT BIRTH: How long after birth did you first put (NAME) to the breast?

IF LESS THAN 1 HOUR, RECORD '00' HOURS.
IF LESS THAN 24 HOURS, RECORD HOURS.
OTHERWISE, RECORD DAYS.

IMMEDIATELY 000
HOURS: ___ 1
DAYS: ___ 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
    <labl>Immediately</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>Within first hour</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 hour</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 hours</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 hours</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 hours</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 hours</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 hours</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 hours</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 hours</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 hours</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 hours</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 hours</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 hours</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 hours</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 hours</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 hours</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 hours</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 hours</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 hours</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 hours</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 hours</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 hours</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 hours</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 hours</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 hours</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 hours</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 hours</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 hours</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 hours</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 hours</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 hours</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 hours</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 hours</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 hours</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 hours</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 hours</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 hours</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 hours</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 hours</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 hours</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 hours</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 hours</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 hours</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 hours</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 hours</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 hours</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46 hours</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47 hours</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48 hours</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49 hours</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50 hours</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51 hours</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52 hours</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53 hours</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54 hours</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55 hours</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56 hours</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57 hours</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58 hours</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59 hours</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60 hours</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61 hours</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62 hours</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63 hours</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64 hours</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65 hours</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66 hours</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67 hours</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68 hours</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69 hours</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70 hours</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71 hours</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72 hours</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73 hours</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74 hours</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75 hours</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76 hours</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77 hours</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78 hours</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79 hours</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80 hours</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81 hours</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82 hours</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83 hours</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84 hours</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85 hours</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86 hours</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87 hours</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88 hours</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89 hours</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90 hours</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Hours: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Within first day</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41 days</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42 days</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43 days</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44 days</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45 days</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46 days</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47 days</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48 days</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49 days</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50 days</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51 days</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52 days</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>53 days</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>54 days</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>55 days</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>56 days</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>57 days</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>58 days</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>59 days</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>60 days</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>61 days</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>62 days</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>63 days</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>64 days</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>65 days</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>66 days</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>67 days</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>68 days</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>69 days</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>70 days</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>71 days</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>72 days</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>73 days</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>74 days</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>75 days</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>76 days</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>77 days</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>78 days</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>79 days</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>80 days</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>81 days</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>82 days</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>83 days</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>84 days</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>85 days</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>86 days</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>87 days</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>88 days</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>89 days</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>90 days</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Days: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years and breastfed their last-born child, BFEEDST (V426) reports the length of time between the birth and when the woman first breastfed her last-born child. Following DHS convention, intervals reported in hours are coded with a "1" in the first digit, and intervals reported in days are coded with a "2" in the first digit.

When women are the unit of analysis, IPUMS-DHS users may also use BRSFEDST_01 (M34_1), which also reports the length of time between the birth and when the woman first breastfed her child (for the last birth).

When children are the unit of analysis, BFEEDST describes a characteristic of the mother, which causes all young children of the mother to be coded the same way. Thus, a response of a certain number of hours or days in BFEEDST does not necessarily indicate that a particular child whose record is being analyzed was first breastfed after that amount of time. IPUMS-DHS users should instead employ, when available, the variable BRSFEDST (M34) to determine the length of time between the specific child's birth and when that child was first breastfed.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_DIATRORSHEARD" name="B_DIATRORSHEARD" files="B" intrvl="discrete">
  <labl>Heard of ORS for diarrhea treatment</labl>
  <imputation>Heard of ORS for diarrhea treatment</imputation>
  <security>Heard of ORS for diarrhea treatment</security>
  <embargo>Heard of ORS for diarrhea treatment</embargo>
  <respUnit>Heard of ORS for diarrhea treatment</respUnit>
  <qstn>
    <qstnLit>483) Have you heard of a special product in a packet that you can get for the treatment of diarrhea and vomiting?

YES 1 (GO TO 485)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Used ORS</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Heard of ORS</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Recognized ORS packet</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>DIATRORSHEARD (V416) indicates whether the woman ever heard of using an oral rehydration solution (ORS) to treat diarrhea. ORS generally consists of drinking water with the addition of sugar and salt (in a homemade solution) or a commercial mixture of salt, glucose, potassium chloride, and sodium bicarbonate added to clean water.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_ORSPREPEV" name="B_ORSPREPEV" files="B" intrvl="discrete">
  <labl>Ever prepared ORS solution</labl>
  <imputation>Ever prepared ORS solution</imputation>
  <security>Ever prepared ORS solution</security>
  <embargo>Ever prepared ORS solution</embargo>
  <respUnit>Ever prepared ORS solution</respUnit>
  <qstn>
    <qstnLit>485) Have you ever prepared a solution with one of these packets to treat diarrhea for yourself or someone else?

(SHOW THE PACKET)

YES 1
NO 2 (GO TO 488)</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Used in last 2 weeks</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Used previously</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the 3 to 5 years before the survey and have heard of ORS (oral rehydration solution), ORSPREPEV (V422) indicates whether the respondent has ever prepared a solution from an ORS packet to treat diarrhea, either for herself or for someone else.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_ORSPREPWAT" name="B_ORSPREPWAT" files="B" intrvl="discrete">
  <labl>Amount of water (in mL) used for ORS</labl>
  <imputation>Amount of water (in mL) used for ORS</imputation>
  <security>Amount of water (in mL) used for ORS</security>
  <embargo>Amount of water (in mL) used for ORS</embargo>
  <respUnit>Amount of water (in mL) used for ORS</respUnit>
  <qstn>
    <qstnLit>487) How much water did you use to prepare the liquid from the special packet for diarrhea?

1/2 LITER / 1/2 CUP 01
1 LITER / 1 CUP 02
1 1/2 LITERS / 1 1/2 CUPS 03
2 LITERS / 2 CUPS 04
ACCORDING TO PACKET INSTRUCTIONS 05
OTHER (SPECIFY): ___ 06
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>0250</catValu>
    <labl>250</labl>
  </catgry>
  <catgry>
    <catValu>0750</catValu>
    <labl>750</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>1000</labl>
  </catgry>
  <catgry>
    <catValu>9993</catValu>
    <labl>Did not use whole packet</labl>
  </catgry>
  <catgry>
    <catValu>9994</catValu>
    <labl>Followed instructions on packet</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Unknown quantity</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Other uncoded sizes</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the 3 to 5 years before the survey and have prepared ORS, ORSPREPWAT (V423) reports the quantity of water, measured in milliliters, used in the preparation of the oral rehydration solution.

Most samples include fixed categories such as 1/2 liter, 1 liter, and 1-1/2 liters, which are then recoded as 500, 1000, and 1500 milliliters. Some responses are also recorded as bottle sizes, such as beer bottle or coke bottle; these are also recoded in ORSPREPWAT into their respective sizes (333 and 250 milliliters, respectively). If the size of a particular container (e.g., a glass) was not known, this response is recorded as "Unknown quantity" (code "9995").</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_ORSINFOSRC" name="B_ORSINFOSRC" files="B" intrvl="discrete">
  <labl>Source of information on preparing ORS for diarrhea treatment</labl>
  <imputation>Source of information on preparing ORS for diarrhea treatment</imputation>
  <security>Source of information on preparing ORS for diarrhea treatment</security>
  <embargo>Source of information on preparing ORS for diarrhea treatment</embargo>
  <respUnit>Source of information on preparing ORS for diarrhea treatment</respUnit>
  <qstn>
    <qstnLit>490) Who taught you how to prepare the home solution made with sugar, salt, and water, and which you gave to (NAME) when he/she had diarrhea?

PUBLIC SECTOR

HOSPITAL 11
MEDICAL CENTER 12
MOTHER AND CHILD CARE CENTER 13
DISPENSARY 14
MOBILE CLINIC 15
FIRST AID WORKER/MIDWIFE 16

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL 21
PRIVATE PHARMACY 22
PRIVATE DOCTOR'S OFFICE 23
PRIVATE DISPENSARY 24

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE 31
NEIGHBOR/RELATIVE 32

OTHER (SPECIFY): ___ 41</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>PUBLIC SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>Government hospital</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Government health center</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>Rural health center</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>Government mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>Government health post</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>Government health worker</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>Community health worker</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>Village health guide/worker</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>Government paramedic</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>First aid worker</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>Family welfare worker</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>Lady health visitor</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>Maternal child health (MCH) center</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>Government pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>PRIVATE MEDICAL SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Private hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>Private doctor</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>Private pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>Private mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>Private community health worker</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>RELIGIOUS/MISSION</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>Religious hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>Religious health post</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>Religious pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>400</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>410</catValu>
    <labl>Shop</labl>
  </catgry>
  <catgry>
    <catValu>420</catValu>
    <labl>Traditional practitioner</labl>
  </catgry>
  <catgry>
    <catValu>430</catValu>
    <labl>Friend/relative</labl>
  </catgry>
  <catgry>
    <catValu>440</catValu>
    <labl>Media</labl>
  </catgry>
  <catgry>
    <catValu>441</catValu>
    <labl>Radio</labl>
  </catgry>
  <catgry>
    <catValu>442</catValu>
    <labl>Printed material</labl>
  </catgry>
  <catgry>
    <catValu>443</catValu>
    <labl>TV</labl>
  </catgry>
  <catgry>
    <catValu>450</catValu>
    <labl>Immunization card</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who prepared ORS for their child's diarrhea in the past 2 weeks, ORSINFOSRC (V425) reports where she learned about preparing a homemade ORS fluid for diarrhea treatment. Response categories vary across samples.  See Comparability.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_ORSPRIVDR" name="B_ORSPRIVDR" files="B" intrvl="discrete">
  <labl>Known source for ORS: Private doctor</labl>
  <imputation>Known source for ORS: Private doctor</imputation>
  <security>Known source for ORS: Private doctor</security>
  <embargo>Known source for ORS: Private doctor</embargo>
  <respUnit>Known source for ORS: Private doctor</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSPRIVDR (V424L) indicates whether, in response to an open-ended question, the woman reported a private doctor as a source for oral rehydration solution (ORS). 

ORS is a typically used to treat dehydration in individuals with diarrhea.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_ORSPRIVDRUG" name="B_ORSPRIVDRUG" files="B" intrvl="discrete">
  <labl>Known source for ORS: Private pharmacy, drug store, or dispensary</labl>
  <imputation>Known source for ORS: Private pharmacy, drug store, or dispensary</imputation>
  <security>Known source for ORS: Private pharmacy, drug store, or dispensary</security>
  <embargo>Known source for ORS: Private pharmacy, drug store, or dispensary</embargo>
  <respUnit>Known source for ORS: Private pharmacy, drug store, or dispensary</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N

*****

488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N

*****

488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSPRIVDRUG (V424K) indicates whether, in response to an open-ended question, the woman reported a private pharmacy, drug store, or dispensary as a source for oral rehydration solution (ORS). 

ORS is a typically used to treat dehydration in individuals with diarrhea.

Some samples in the "ORS" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of private, formal drug vendors that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in ORSPUBHC.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_ORSPRIVHOS" name="B_ORSPRIVHOS" files="B" intrvl="discrete">
  <labl>Known source for ORS: Private hospital/clinic</labl>
  <imputation>Known source for ORS: Private hospital/clinic</imputation>
  <security>Known source for ORS: Private hospital/clinic</security>
  <embargo>Known source for ORS: Private hospital/clinic</embargo>
  <respUnit>Known source for ORS: Private hospital/clinic</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSPRIVHOS (V424J) indicates whether, in response to an open-ended question, the woman reported a private hospital or clinic as a source for an oral rehydration solution (ORS). 

ORS is a typically used to treat dehydration in individuals with diarrhea.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_ORSPUBFW" name="B_ORSPUBFW" files="B" intrvl="discrete">
  <labl>Known source for ORS: Public fieldworker</labl>
  <imputation>Known source for ORS: Public fieldworker</imputation>
  <security>Known source for ORS: Public fieldworker</security>
  <embargo>Known source for ORS: Public fieldworker</embargo>
  <respUnit>Known source for ORS: Public fieldworker</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSPUBFW (V424E) indicates whether, in response to an open-ended question, the woman reported a public fieldworker as a source for an oral rehydration solution (ORS). 

ORS is a typically used to treat dehydration in individuals with diarrhea.

Some samples in the "ORS" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public fieldworkers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in ORSPUBHC.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_ORSPUBHC" name="B_ORSPUBHC" files="B" intrvl="discrete">
  <labl>Known source for ORS: Public health center</labl>
  <imputation>Known source for ORS: Public health center</imputation>
  <security>Known source for ORS: Public health center</security>
  <embargo>Known source for ORS: Public health center</embargo>
  <respUnit>Known source for ORS: Public health center</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSPUBHC (V424B) indicates whether, in response to an open-ended question, the woman reported a public health center as a source for oral rehydration solution (ORS). 

ORS is a typically used to treat dehydration in individuals with diarrhea.

Some samples in the "ORS" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public health centers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in ORSPUBHC.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_ORSPUBHOS" name="B_ORSPUBHOS" files="B" intrvl="discrete">
  <labl>Known source for ORS: Public hospital</labl>
  <imputation>Known source for ORS: Public hospital</imputation>
  <security>Known source for ORS: Public hospital</security>
  <embargo>Known source for ORS: Public hospital</embargo>
  <respUnit>Known source for ORS: Public hospital</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSPUBHOS (V424A) indicates whether, in response to an open-ended question, the woman reported a public hospital as a source for oral rehydration solution (ORS). 

ORS is a typically used to treat dehydration in individuals with diarrhea.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_ORSPUBHP" name="B_ORSPUBHP" files="B" intrvl="discrete">
  <labl>Known source for ORS: Public health post</labl>
  <imputation>Known source for ORS: Public health post</imputation>
  <security>Known source for ORS: Public health post</security>
  <embargo>Known source for ORS: Public health post</embargo>
  <respUnit>Known source for ORS: Public health post</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSPUBHP (V424C) indicates, in response to an open-ended question, whether the woman reported a public health post as a source for oral rehydration solution (ORS). 

ORS is a typically used to treat dehydration in individuals with diarrhea.

Some samples in the "ORS" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_ORSPUBMOB" name="B_ORSPUBMOB" files="B" intrvl="discrete">
  <labl>Known source for ORS: Public mobile clinic</labl>
  <imputation>Known source for ORS: Public mobile clinic</imputation>
  <security>Known source for ORS: Public mobile clinic</security>
  <embargo>Known source for ORS: Public mobile clinic</embargo>
  <respUnit>Known source for ORS: Public mobile clinic</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSPUBMOB (V424D) indicates whether, in response to an open-ended question, the woman reported a public mobile clinic as a source for oral rehydration solution (ORS). 

ORS is a typically used to treat dehydration in individuals with diarrhea.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_ORSOTHER" name="B_ORSOTHER" files="B" intrvl="discrete">
  <labl>Known source of ORS: Other</labl>
  <imputation>Known source of ORS: Other</imputation>
  <security>Known source of ORS: Other</security>
  <embargo>Known source of ORS: Other</embargo>
  <respUnit>Known source of ORS: Other</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSOTHER (V424X) indicates whether, in response to an open-ended question, the woman reported some "other" place as a source for oral rehydration solution (ORS). The meaning of "other" depends on the specific response categories included in a given sample.

ORS is a typically used to treat dehydration in individuals with diarrhea.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_ORSNE1" name="B_ORSNE1" files="B" intrvl="discrete">
  <labl>Known source for ORS: Private pharmacy (Niger)</labl>
  <imputation>Known source for ORS: Private pharmacy (Niger)</imputation>
  <security>Known source for ORS: Private pharmacy (Niger)</security>
  <embargo>Known source for ORS: Private pharmacy (Niger)</embargo>
  <respUnit>Known source for ORS: Private pharmacy (Niger)</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSNE1 indicates whether, in response to an open-ended question, the woman reported a private pharmacy as a source for oral rehydration solution (ORS). ORS is typically used to treat dehydration in individuals with diarrhea. This response is country-specific to Niger. 

Some samples in the "ORS" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

ORSNE1 is combined with ORSNE2 (private dispensary) and ORSNE3 (private pharmaceutic depot) in ORSPRIVDRUG (all private, formal drug vendors) for the 1992 Niger sample. IPUMS-DHS users interested in using ORSNE1 are encouraged to review ORSPRIVDRUG for a more comprehensive response category.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_ORSNE2" name="B_ORSNE2" files="B" intrvl="discrete">
  <labl>Known source for ORS: Private dispensary (Niger)</labl>
  <imputation>Known source for ORS: Private dispensary (Niger)</imputation>
  <security>Known source for ORS: Private dispensary (Niger)</security>
  <embargo>Known source for ORS: Private dispensary (Niger)</embargo>
  <respUnit>Known source for ORS: Private dispensary (Niger)</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSNE2 indicates whether, in response to an open-ended question, the woman reported a private dispensary as a source for oral rehydration solution (ORS). ORS is typically used to treat dehydration in individuals with diarrhea. This response is country-specific to Niger. 

Some samples in the "ORS" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

ORSNE2 is combined with ORSNE1 (private pharmacy) and ORSNE3 (private pharmaceutic depot) in ORSPRIVDRUG (all private, formal drug vendors) for the 1992 Niger sample. IPUMS-DHS users interested in using ORSNE2 are encouraged to review ORSPRIVDRUG for a more comprehensive response category.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_ORSNE3" name="B_ORSNE3" files="B" intrvl="discrete">
  <labl>Known source for ORS: Private pharmaceutic depot (Niger)</labl>
  <imputation>Known source for ORS: Private pharmaceutic depot (Niger)</imputation>
  <security>Known source for ORS: Private pharmaceutic depot (Niger)</security>
  <embargo>Known source for ORS: Private pharmaceutic depot (Niger)</embargo>
  <respUnit>Known source for ORS: Private pharmaceutic depot (Niger)</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSNE3 indicates whether, in response to an open-ended question, the woman reported a private pharmaceutic depot as a source for oral rehydration solution (ORS). ORS is typically used to treat dehydration in individuals with diarrhea. This response is country-specific to Niger. 

Some samples in the "ORS" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

ORSNE3 is combined with ORSNE1 (private pharmacy) and ORSNE2 (private dispensary) in ORSPRIVDRUG (all private, formal drug vendors) for the 1992 Niger sample. IPUMS-DHS users interested in using ORSNE3 are encouraged to review ORSPRIVDRUG for a more comprehensive response category.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BIOMEASCODE" name="B_BIOMEASCODE" files="B" intrvl="discrete">
  <labl>Code of person measuring children's height and weight</labl>
  <imputation>Code of person measuring children's height and weight</imputation>
  <security>Code of person measuring children's height and weight</security>
  <embargo>Code of person measuring children's height and weight</embargo>
  <respUnit>Code of person measuring children's height and weight</respUnit>
  <qstn>
    <qstnLit>913)

NAME OF MEASURER: ___

NAME OF ASSISTANT: ___

MOTHER 90
OTHER MEMBERS OF HOUSEHOLD 91
OTHER PERSONS 92</qstnLit>
  </qstn>
  <catgry>
    <catValu>99999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>99998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>99995</catValu>
    <labl>No living children under 5</labl>
  </catgry>
  <txt>For women who gave birth in the three to five years before the survey, BIOMEASCODE (V420) reports the code assigned to the person measuring their children's height and weight. Codes are sample-specific; a given numeric code in one sample refers to a different person than the same numeric code in another sample.

Using the measurer and assistant measurer (BIOASSTMEASCODE (V421)) codes, researchers can evaluate whether the quality of responses (e.g., the number of "out of range" cases) depended on the person measuring the children.</txt>
  <concept>
    <title>Female biometrics, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BIOASSTMEASCODE" name="B_BIOASSTMEASCODE" files="B" intrvl="discrete">
  <labl>Code of assistant measurer</labl>
  <imputation>Code of assistant measurer</imputation>
  <security>Code of assistant measurer</security>
  <embargo>Code of assistant measurer</embargo>
  <respUnit>Code of assistant measurer</respUnit>
  <qstn>
    <qstnLit>913)

NAME OF MEASURER: ___

NAME OF ASSISTANT: ___

MOTHER 90
OTHER MEMBERS OF HOUSEHOLD 91
OTHER PERSONS 92</qstnLit>
  </qstn>
  <catgry>
    <catValu>9992</catValu>
    <labl>Child's mother</labl>
  </catgry>
  <catgry>
    <catValu>9993</catValu>
    <labl>Household member</labl>
  </catgry>
  <catgry>
    <catValu>9994</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>No living children under 5</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the three to five years before the survey, BIOASSTMEASCODE (V421) reports the code assigned to the assistant measurer of their children's height and weight. Codes are sample-specific; a given numeric code in one sample refers to a different person than the same numeric code in another sample.

Using the measurer (BIOMEASCODE (V420)) and assistant measurer codes, researchers can evaluate whether the quality of responses (e.g., the number of "out of range" cases) depended on the person measuring the children.</txt>
  <concept>
    <title>Female biometrics, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_WEIGHTFEM" name="B_WEIGHTFEM" files="B" intrvl="discrete">
  <labl>Weight of woman (kilos)</labl>
  <imputation>Weight of woman (kilos)</imputation>
  <security>Weight of woman (kilos)</security>
  <embargo>Weight of woman (kilos)</embargo>
  <respUnit>Weight of woman (kilos)</respUnit>
  <qstn>
    <qstnLit>909) WEIGHT (IN KILOGRAMS):

WEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9994</catValu>
    <labl>Not present</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Refused</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Out of plausible range</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>WEIGHTFEM (V437) reports the woman's weight as measured by DHS personnel. There is one implied decimal place in the weight. Dividing WEIGHTFEM by 10 will yield the woman's measured weight in kilograms.</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_HEIGHTFEM" name="B_HEIGHTFEM" files="B" intrvl="discrete">
  <labl>Height of woman in centimeters</labl>
  <imputation>Height of woman in centimeters</imputation>
  <security>Height of woman in centimeters</security>
  <embargo>Height of woman in centimeters</embargo>
  <respUnit>Height of woman in centimeters</respUnit>
  <qstn>
    <qstnLit>907) HEIGHT (IN CENTIMETERS):

HEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9994</catValu>
    <labl>Not present</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Refused</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Out of plausible range</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>HEIGHTFEM (V438) reports the woman's height as measured by DHS personnel. HEIGHTFEM values are reported in millimeters, to preserve one centimeter decimal place without requiring the use of a decimal point. Dividing HEIGHTFEM by 10 will yield the woman's measured height in centimeters.</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BIOFHTAPCT" name="B_BIOFHTAPCT" files="B" intrvl="discrete">
  <labl>Height for age percentile for respondents to women's survey</labl>
  <imputation>Height for age percentile for respondents to women's survey</imputation>
  <security>Height for age percentile for respondents to women's survey</security>
  <embargo>Height for age percentile for respondents to women's survey</embargo>
  <respUnit>Height for age percentile for respondents to women's survey</respUnit>
  <qstn>
    <qstnLit>907) HEIGHT (IN CENTIMETERS):

HEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9995</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFHTAPCT (V439) reports the respondent's height-for-age percentile, based on smoothed percentile growth charts by age and sex developed by the U.S. Centers for Disease Control.

The reference standard contains data for children up to age 18. For all women age 18 and over, the value for 215 months (17 years, 11 months) is used, based on the assumption that women are fully grown by age18.

HEIGHTFEM (V438) reports the respondent's length or height as measured by DHS personnel.</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BIOFHTASDRM" name="B_BIOFHTASDRM" files="B" intrvl="discrete">
  <labl>Height for age standard deviations from the reference median (for respondents to female survey)</labl>
  <imputation>Height for age standard deviations from the reference median (for respondents to female survey)</imputation>
  <security>Height for age standard deviations from the reference median (for respondents to female survey)</security>
  <embargo>Height for age standard deviations from the reference median (for respondents to female survey)</embargo>
  <respUnit>Height for age standard deviations from the reference median (for respondents to female survey)</respUnit>
  <qstn>
    <qstnLit>907) HEIGHT (IN CENTIMETERS):

HEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9995</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFHTASDRM (V440) reports the difference between the respondent's height and the median height of a reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score. BIOFHTASDRM values are reported in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing BIOFHTASDRM by 100 will yield the height-for-age Z-score (HAZ) value. 

The reference standard contains data for children up to age 18. For all women age 18 and over, the value of 215 months (17 years, 11 months) is used, based on the assumption that women are fully grown by age 18.

HEIGHTFEM (V438) reports the respondent's length or height, as measured by DHS personnel.

The complementary DHS variable BIOFHTAPCT (V439) reports the respondent's height-for-age percentile within the same reference population used in BIOFHTASDRM. The complementary DHS variable BIOFHTAPCTRM (V441) reports the respondent's height-for-age as a percentage of the median of the same reference population. Unlike z-scores, percentiles do not allow comparison across age and sex and cannot assess longitudinal change in growth status.</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BIOFHTAPCTRM" name="B_BIOFHTAPCTRM" files="B" intrvl="discrete">
  <labl>Height for Age percent of reference median for respondents to female survey</labl>
  <imputation>Height for Age percent of reference median for respondents to female survey</imputation>
  <security>Height for Age percent of reference median for respondents to female survey</security>
  <embargo>Height for Age percent of reference median for respondents to female survey</embargo>
  <respUnit>Height for Age percent of reference median for respondents to female survey</respUnit>
  <qstn>
    <qstnLit>907) HEIGHT (IN CENTIMETERS):

HEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>99995</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>99998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFHTAPCTRM (V441) reports the respondent's height-for-age as a percent of the median height for a reference population of the same age and sex.  For this variable, the reference population was developed by the U.S. Centers for Disease Control.

The reference standard contains data for children up to age 18. For all women age 18 and over, the value of 215 months (17 years, 11 months) is used, based on the assumption that women are fully grown by age 18.

HEIGHTFEM (V438) reports the respondent's length or height as measured by DHS personnel.

The related variable BIOFHTAPCT (V439) reports the respondent's height-for-age percentile relative to smoothed percentile growth charts by age and sex, for the same reference population.</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BIOFWTHTRMDHS" name="B_BIOFWTHTRMDHS" files="B" intrvl="discrete">
  <labl>Weight for height percent of reference median (DHS) (respondents to women's survey)</labl>
  <imputation>Weight for height percent of reference median (DHS) (respondents to women's survey)</imputation>
  <security>Weight for height percent of reference median (DHS) (respondents to women's survey)</security>
  <embargo>Weight for height percent of reference median (DHS) (respondents to women's survey)</embargo>
  <respUnit>Weight for height percent of reference median (DHS) (respondents to women's survey)</respUnit>
  <qstn>
    <qstnLit>909) WEIGHT (IN KILOGRAMS):

WEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>99995</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>99998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFWTHTRMDHS (V442) reports the respondent's weight-for-height as a percent of the median weight for a reference population of the same height. For this variable, the reference population was developed by the DHS Program. This index has been adjusted for pregnant women according to duration of pregnancy.

The following variables report the respondent's weight for height as a percent of the median weight for different reference populations:
BIOFWTHTRMFOG (V443) uses Metropolitan Life or Fogarty reference standards
BIOFWTHTRMWHO (V444) uses WHO reference standards</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BIOFWTHTRMFOG" name="B_BIOFWTHTRMFOG" files="B" intrvl="discrete">
  <labl>Weight for height percent of reference median (MetLife or Fogarty) (respondents to women's survey)</labl>
  <imputation>Weight for height percent of reference median (MetLife or Fogarty) (respondents to women's survey)</imputation>
  <security>Weight for height percent of reference median (MetLife or Fogarty) (respondents to women's survey)</security>
  <embargo>Weight for height percent of reference median (MetLife or Fogarty) (respondents to women's survey)</embargo>
  <respUnit>Weight for height percent of reference median (MetLife or Fogarty) (respondents to women's survey)</respUnit>
  <qstn>
    <qstnLit>909) WEIGHT (IN KILOGRAMS):

WEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>99995</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>99998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFWTHTRMFOG (V443) reports the respondent's weight-for-height as a percent of the median weight for a reference population of the same height. This variable uses the Metropolitan Life or Fogarty reference standard. This index has been adjusted for pregnant women according to duration of pregnancy.

The following variables report the respondent's weight for height as a percent of the median weight for different reference populations:
BIOFWTHTRMDHS (V442) uses a DHS reference standard
BIOFWTHTRMWHO (V444) uses the WHO reference standard</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BIOFWTHTRMWHO" name="B_BIOFWTHTRMWHO" files="B" intrvl="discrete">
  <labl>Weight for height percent of reference median (WHO) (respondents to women's survey)</labl>
  <imputation>Weight for height percent of reference median (WHO) (respondents to women's survey)</imputation>
  <security>Weight for height percent of reference median (WHO) (respondents to women's survey)</security>
  <embargo>Weight for height percent of reference median (WHO) (respondents to women's survey)</embargo>
  <respUnit>Weight for height percent of reference median (WHO) (respondents to women's survey)</respUnit>
  <qstn>
    <qstnLit>909) WEIGHT (IN KILOGRAMS):

WEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>99995</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>99998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFWTHTRMWHO (V444) reports the respondent's weight-for-height as a percent of the median weight for a reference population of the same height. This variable uses the World Health Organization (WHO) reference standard. This index has been adjusted for pregnant women according to duration of pregnancy.

The following variables report the respondent's weight for height as a percent of the median weight for different reference populations:
BIOFWTHTRMDHS (V442) uses a DHS reference standard
BIOFWTHTRMFOG (V444) uses the Metropolitan Life or Fogarty reference standard</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BIOFBMI" name="B_BIOFBMI" files="B" intrvl="discrete">
  <labl>Body Mass Index (BMI) for respondents to the women's survey</labl>
  <imputation>Body Mass Index (BMI) for respondents to the women's survey</imputation>
  <security>Body Mass Index (BMI) for respondents to the women's survey</security>
  <embargo>Body Mass Index (BMI) for respondents to the women's survey</embargo>
  <respUnit>Body Mass Index (BMI) for respondents to the women's survey</respUnit>
  <qstn>
    <qstnLit>909) WEIGHT (IN KILOGRAMS):

WEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9995</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFBMI (V445) reports the female respondent's body mass index (BMI). BMI is an anthropometric measure relating weight to height, equal to body weight (kilograms) divided by height (meters) squared (W/(H^2)). Also known as the Quetelet Index, BMI is a measure of acute nutritional status, based on the Fogarty Metropolitan Life tables of ideal weight for height. 

The DHS Guide to Statistics offers the following guidelines for interpreting BMI scores for women age 15-49:

 Severely thin: less than 16.0 
Moderately thin: 16.0 to 16.9 
Mildly thin: 17.0 to 18.4 
Normal: 18.5 to 24.9 
Overweight: 25.0 to 29.9 
Obese: 30.0 or more

The original height and weight values used to calculate BMI are also included in IPUMS-DHS.  WEIGHTFEM (V437) reports the respondent's weight in kilograms, as measured by DHS personnel; HEIGHTFEM (V438) reports the person's length or height in centimeters, as measured by DHS personnel. 

For an alternate measure of female nutrition, IPUMS-DHS users may also be interested in BIOFROHRER (V446), which reports the respondent's Rohrer's Index. This measure is equal to body weight (kilograms) divided by height (meters) cubed (W/(H^3)).</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BIOFROHRER" name="B_BIOFROHRER" files="B" intrvl="discrete">
  <labl>Rohrer's index (mass/height cubed) (for respondents to female survey)</labl>
  <imputation>Rohrer's index (mass/height cubed) (for respondents to female survey)</imputation>
  <security>Rohrer's index (mass/height cubed) (for respondents to female survey)</security>
  <embargo>Rohrer's index (mass/height cubed) (for respondents to female survey)</embargo>
  <respUnit>Rohrer's index (mass/height cubed) (for respondents to female survey)</respUnit>
  <qstn>
    <qstnLit>909) WEIGHT (IN KILOGRAMS):

WEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9995</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFROHRER (V446) reports the respondent's Rohrer's Index. Rohrer's Index is an anthropometric measure relating weight to height, equal to body weight (kilograms) divided by height (meters) cubed (W/(H^3)). Rohrer's Index is a measure of acute nutritional status, and may be used as an alternative to Body Mass Index. 

The original height and weight values used to calculate Rohrer's Index are also included in IPUMS-DHS. WEIGHTFEM (V437) reports the respondent's weight in kilograms as measured by DHS personnel; HEIGHTFEM (V438) reports their length or height in centimeters as measured by DHS personnel.

For an alternate measure of female nutrition, IPUMS-DHS users may also be interested in BIOFBMI (V445), which reports the respondent's Body Mass Index (BMI), which is equal to body weight (kilograms) divided by height (meters) squared (W/(H^2)).</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BIOFWHYNOTMEAS" name="B_BIOFWHYNOTMEAS" files="B" intrvl="discrete">
  <labl>Result of measurement of the respondent</labl>
  <imputation>Result of measurement of the respondent</imputation>
  <security>Result of measurement of the respondent</security>
  <embargo>Result of measurement of the respondent</embargo>
  <respUnit>Result of measurement of the respondent</respUnit>
  <qstn>
    <qstnLit>912) RESULT (WEIGHT AND HEIGHT):

MEASURED 1
CHILD SICK 2
ABSENT 3
REFUSED 4
MOTHER REFUSED 5
OTHER (SPECIFY): ___ 6</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Measured</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Not measured</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Sick</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Not present</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Refused</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Incapacitated</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Technical problems</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>No measurement found in household</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFWHYNOTMEAS (V447) indicates whether the respondent was measured for height and weight, or, if not, why she was not measured. All "Not measured" responses have a common first digit of "1," while the second digit reveals the reason (e.g., sick, not present, refused).</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BIOFARMCIRCCM" name="B_BIOFARMCIRCCM" files="B" intrvl="discrete">
  <labl>Arm circumference (cm)</labl>
  <imputation>Arm circumference (cm)</imputation>
  <security>Arm circumference (cm)</security>
  <embargo>Arm circumference (cm)</embargo>
  <respUnit>Arm circumference (cm)</respUnit>
  <qstn>
    <qstnLit>910) ARM CIRCUMFERENCE (IN CENTIMETERS):

CIRCUMFERENCE: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the three to five years before the survey, BIOFARMCIRCCM (V436) reports the circumference of the respondent's left upper arm in millimeters. Dividing BIOFARMCIRCCM by 10 yields the respondent's measured arm circumference in centimeters.

IPUMS-DHS has not recoded any numeric values in BIOFARMCIRCCM. However, some values are outside of a plausible range for adult arm circumference. Researchers are encouraged to set upper and lower bounds to reflect a plausible range.</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_KIDSEX" name="B_KIDSEX" files="B" intrvl="discrete">
  <labl>Sex of child</labl>
  <imputation>Sex of child</imputation>
  <security>Sex of child</security>
  <embargo>Sex of child</embargo>
  <respUnit>Sex of child</respUnit>
  <qstn>
    <qstnLit>214) Is (NAME) a boy or a girl?

BOY 1
GIRL 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <txt>KIDSEX (B4) reports the sex of the child.</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_KIDALIVE" name="B_KIDALIVE" files="B" intrvl="discrete">
  <labl>Child is alive</labl>
  <imputation>Child is alive</imputation>
  <security>Child is alive</security>
  <embargo>Child is alive</embargo>
  <respUnit>Child is alive</respUnit>
  <qstn>
    <qstnLit>216) Is (NAME) still alive?

YES 1
NO 2 (GO TO 220)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <txt>KIDALIVE (B5) reports whether the child was alive or dead at the time of interview.</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_KIDBIRTHMO" name="B_KIDBIRTHMO" files="B" intrvl="discrete">
  <labl>Child's month of birth</labl>
  <imputation>Child's month of birth</imputation>
  <security>Child's month of birth</security>
  <embargo>Child's month of birth</embargo>
  <respUnit>Child's month of birth</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <txt>KIDBIRTHMO (B1) reports the child's month of birth, according to the Gregorian calendar.</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_KIDBIRTHYR" name="B_KIDBIRTHYR" files="B" intrvl="discrete">
  <labl>Child's year of birth</labl>
  <imputation>Child's year of birth</imputation>
  <security>Child's year of birth</security>
  <embargo>Child's year of birth</embargo>
  <respUnit>Child's year of birth</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1948</catValu>
    <labl>1948</labl>
  </catgry>
  <catgry>
    <catValu>1949</catValu>
    <labl>1949</labl>
  </catgry>
  <catgry>
    <catValu>1950</catValu>
    <labl>1950</labl>
  </catgry>
  <catgry>
    <catValu>1951</catValu>
    <labl>1951</labl>
  </catgry>
  <catgry>
    <catValu>1952</catValu>
    <labl>1952</labl>
  </catgry>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>2017</labl>
  </catgry>
  <catgry>
    <catValu>2018</catValu>
    <labl>2018</labl>
  </catgry>
  <txt>KIDBIRTHYR (B2) reports the child's year of birth, according to the Gregorian calendar.</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_KIDAGEINFO" name="B_KIDAGEINFO" files="B" intrvl="discrete">
  <labl>Completeness of information about child's age and date of birth</labl>
  <imputation>Completeness of information about child's age and date of birth</imputation>
  <security>Completeness of information about child's age and date of birth</security>
  <embargo>Completeness of information about child's age and date of birth</embargo>
  <respUnit>Completeness of information about child's age and date of birth</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Month, year, and day complete</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Month and year complete</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Year and season</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Year, season, and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Year and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Year and age - year ignored</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Month and age - year imputed</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Year - age calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Year - age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Age - year calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Age - year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Month - age, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>None - all imputed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>KIDAGEINFO (B10) reports the completeness of information about the child's age and date of birth.</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_KIDCURAGE" name="B_KIDCURAGE" files="B" intrvl="discrete">
  <labl>Current age of child in years</labl>
  <imputation>Current age of child in years</imputation>
  <security>Current age of child in years</security>
  <embargo>Current age of child in years</embargo>
  <respUnit>Current age of child in years</respUnit>
  <qstn>
    <qstnLit>217) IF ALIVE: How old was (NAME) at his/her last birthday?

RECORD AGE IN COMPLETED YEARS.

AGE IN YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35 years</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36 years</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37 years</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38 years</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39 years</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40 years</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41 years</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42 years</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>KIDCURAGE (B8) reports the current age of the child, in years, at the time of the survey.</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_KIDDOBCMC" name="B_KIDDOBCMC" files="B" intrvl="contin">
  <labl>Child's date of birth (CMC)</labl>
  <imputation>Child's date of birth (CMC)</imputation>
  <security>Child's date of birth (CMC)</security>
  <embargo>Child's date of birth (CMC)</embargo>
  <respUnit>Child's date of birth (CMC)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <txt>KIDDOBCMC (B3) reports the century month code for the date of birth of the child.</txt>
  <codInstr>KIDDOBCMC (B3) is a 4-digit variable.</codInstr>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_KIDBORD" name="B_KIDBORD" files="B" intrvl="discrete">
  <labl>Child's birth order number</labl>
  <imputation>Child's birth order number</imputation>
  <security>Child's birth order number</security>
  <embargo>Child's birth order number</embargo>
  <respUnit>Child's birth order number</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <txt>KIDBORD (BORD) reports the birth order in which the child was born, from 1 to n, where 1 = the first child born to a mother, and the nth birth is the most recently born child. Up to 20 births could be reported by a woman.</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_KIDTWIN" name="B_KIDTWIN" files="B" intrvl="discrete">
  <labl>Child is twin or single birth</labl>
  <imputation>Child is twin or single birth</imputation>
  <security>Child is twin or single birth</security>
  <embargo>Child is twin or single birth</embargo>
  <respUnit>Child is twin or single birth</respUnit>
  <qstn>
    <qstnLit>213) When (NAME) was born, was he/she alone or did he/she have a twin?

SINGLE 1
MULTIPLE 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Single birth/not a twin</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Twin or multiple</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>1st of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>2nd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>3rd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>4th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>5th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>6th of multiple births</labl>
  </catgry>
  <txt>KIDTWIN (B0) reports whether the child is a twin (or born in a multiple birth) or is a single birth.</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_KIDAGEDEATH" name="B_KIDAGEDEATH" files="B" intrvl="discrete">
  <labl>Child age at death (non-imputed)</labl>
  <imputation>Child age at death (non-imputed)</imputation>
  <security>Child age at death (non-imputed)</security>
  <embargo>Child age at death (non-imputed)</embargo>
  <respUnit>Child age at death (non-imputed)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Days: Died on day of birth</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 days</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 days</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 days</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 days</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 days</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>Days, unknown</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days old, number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Months old: Month of birth</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>Months, inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>Months, unknown</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Months old, number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Years</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>35 years</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>36 years</labl>
  </catgry>
  <catgry>
    <catValu>337</catValu>
    <labl>37 years</labl>
  </catgry>
  <catgry>
    <catValu>338</catValu>
    <labl>38 years</labl>
  </catgry>
  <catgry>
    <catValu>339</catValu>
    <labl>39 years</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>40 years</labl>
  </catgry>
  <catgry>
    <catValu>397</catValu>
    <labl>Years old, number inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>398</catValu>
    <labl>Years old, number unknown</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Years old, number missing</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For deceased children, KIDAGEDEATH (B6) reports the age of the child at death in days, months or years. The first digit of the codes indicates the time unit: 1 for days, 2 for months, 3 for years.</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_KIDAGEDIEDIMP" name="B_KIDAGEDIEDIMP" files="B" intrvl="discrete">
  <labl>Child's age at death in month (including imputed)</labl>
  <imputation>Child's age at death in month (including imputed)</imputation>
  <security>Child's age at death in month (including imputed)</security>
  <embargo>Child's age at death in month (including imputed)</embargo>
  <respUnit>Child's age at death in month (including imputed)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For deceased children, KIDAGEDIEDIMP (B7) reports the age of the child at death in months (including imputed ages).</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_KIDAGEDEATHFLAG" name="B_KIDAGEDEATHFLAG" files="B" intrvl="discrete">
  <labl>Flags for reported age at death of child</labl>
  <imputation>Flags for reported age at death of child</imputation>
  <security>Flags for reported age at death of child</security>
  <embargo>Flags for reported age at death of child</embargo>
  <respUnit>Flags for reported age at death of child</respUnit>
  <catgry>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Reported age places death after interview</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Reported age less than reported duration breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Reported age less than age given supplemental food</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Reported age less than age first breastfed</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Reported age before last vaccination</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Reported age outside expected range for units</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Reported age was imputed, units given</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Reported age was imputed, units not given</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>KIDAGEDEATHFLAG (B13) reports the type of problem, if any, found when editing responses about the child's age at death (in KIDAGEDEATH). A code of 0 indicates no problem with the original response.</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_KIDLIVESWITH" name="B_KIDLIVESWITH" files="B" intrvl="discrete">
  <labl>Child lives with female respondent or with others</labl>
  <imputation>Child lives with female respondent or with others</imputation>
  <security>Child lives with female respondent or with others</security>
  <embargo>Child lives with female respondent or with others</embargo>
  <respUnit>Child lives with female respondent or with others</respUnit>
  <qstn>
    <qstnLit>218) IF ALIVE: Is (NAME) living with you?

YES 1 (GO TO NEXT BIRTH)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Woman respondent</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>With father</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>With other relative</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>With someone else</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Child age 15+, lives elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>KIDLIVESWITH (B9) reports the person the child usually lives with (i.e., the child's mother or someone else).</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BIRTHINTPREMO" name="B_BIRTHINTPREMO" files="B" intrvl="discrete">
  <labl>Length of preceding birth interval, in months</labl>
  <imputation>Length of preceding birth interval, in months</imputation>
  <security>Length of preceding birth interval, in months</security>
  <embargo>Length of preceding birth interval, in months</embargo>
  <respUnit>Length of preceding birth interval, in months</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>005</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>004</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>003</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>002</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>001</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>000</catValu>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>006</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>007</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>008</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>009</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>010</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>011</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>012</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>013</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>014</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>015</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>016</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>017</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>018</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>019</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>020</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>021</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>022</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>023</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>024</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>025</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>026</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>027</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>028</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>029</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>030</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>031</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>032</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>033</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>034</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>035</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>036</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>037</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>038</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>039</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>040</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>041</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>042</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>043</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>044</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>045</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>046</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>047</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>048</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>049</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>050</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>051</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>052</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>053</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>054</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>055</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>056</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>057</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>058</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>059</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>060</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>061</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>062</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>063</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>064</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>065</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>066</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>067</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>068</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>069</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>070</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>071</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>072</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>073</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>074</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>075</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>076</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>077</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>078</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>079</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>080</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>081</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>082</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>083</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>084</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>085</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>086</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>087</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>088</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>089</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>090</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>091</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>092</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>093</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>094</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>095</catValu>
    <labl>95</labl>
  </catgry>
  <catgry>
    <catValu>096</catValu>
    <labl>96</labl>
  </catgry>
  <catgry>
    <catValu>097</catValu>
    <labl>97</labl>
  </catgry>
  <catgry>
    <catValu>098</catValu>
    <labl>98</labl>
  </catgry>
  <catgry>
    <catValu>099</catValu>
    <labl>99</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>100</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>101</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>102</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>103</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>104</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>105</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>106</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>107</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>108</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>109</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>110</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>111</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>112</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>113</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>114</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>115</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>116</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>117</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>118</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>119</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>120</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>121</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>122</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>123</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>124</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>125</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>126</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>127</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>128</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>129</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>130</labl>
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  <catgry>
    <catValu>131</catValu>
    <labl>131</labl>
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  <catgry>
    <catValu>132</catValu>
    <labl>132</labl>
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  <catgry>
    <catValu>133</catValu>
    <labl>133</labl>
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  <catgry>
    <catValu>134</catValu>
    <labl>134</labl>
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  <catgry>
    <catValu>135</catValu>
    <labl>135</labl>
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  <catgry>
    <catValu>136</catValu>
    <labl>136</labl>
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  <catgry>
    <catValu>137</catValu>
    <labl>137</labl>
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  <catgry>
    <catValu>138</catValu>
    <labl>138</labl>
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  <catgry>
    <catValu>139</catValu>
    <labl>139</labl>
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  <catgry>
    <catValu>140</catValu>
    <labl>140</labl>
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  <catgry>
    <catValu>141</catValu>
    <labl>141</labl>
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  <catgry>
    <catValu>142</catValu>
    <labl>142</labl>
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  <catgry>
    <catValu>143</catValu>
    <labl>143</labl>
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  <catgry>
    <catValu>144</catValu>
    <labl>144</labl>
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  <catgry>
    <catValu>145</catValu>
    <labl>145</labl>
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  <catgry>
    <catValu>146</catValu>
    <labl>146</labl>
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  <catgry>
    <catValu>147</catValu>
    <labl>147</labl>
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  <catgry>
    <catValu>148</catValu>
    <labl>148</labl>
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  <catgry>
    <catValu>149</catValu>
    <labl>149</labl>
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  <catgry>
    <catValu>150</catValu>
    <labl>150</labl>
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  <catgry>
    <catValu>151</catValu>
    <labl>151</labl>
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  <catgry>
    <catValu>152</catValu>
    <labl>152</labl>
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  <catgry>
    <catValu>153</catValu>
    <labl>153</labl>
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  <catgry>
    <catValu>154</catValu>
    <labl>154</labl>
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  <catgry>
    <catValu>155</catValu>
    <labl>155</labl>
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  <catgry>
    <catValu>156</catValu>
    <labl>156</labl>
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  <catgry>
    <catValu>157</catValu>
    <labl>157</labl>
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  <catgry>
    <catValu>158</catValu>
    <labl>158</labl>
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    <catValu>159</catValu>
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    <catValu>160</catValu>
    <labl>160</labl>
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  <catgry>
    <catValu>161</catValu>
    <labl>161</labl>
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  <catgry>
    <catValu>162</catValu>
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  <catgry>
    <catValu>163</catValu>
    <labl>163</labl>
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  <catgry>
    <catValu>164</catValu>
    <labl>164</labl>
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  <catgry>
    <catValu>165</catValu>
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  <catgry>
    <catValu>166</catValu>
    <labl>166</labl>
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  <catgry>
    <catValu>167</catValu>
    <labl>167</labl>
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    <catValu>168</catValu>
    <labl>168</labl>
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  <catgry>
    <catValu>169</catValu>
    <labl>169</labl>
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  <catgry>
    <catValu>170</catValu>
    <labl>170</labl>
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  <catgry>
    <catValu>171</catValu>
    <labl>171</labl>
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  <catgry>
    <catValu>172</catValu>
    <labl>172</labl>
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    <catValu>173</catValu>
    <labl>173</labl>
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  <catgry>
    <catValu>174</catValu>
    <labl>174</labl>
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  <catgry>
    <catValu>175</catValu>
    <labl>175</labl>
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  <catgry>
    <catValu>176</catValu>
    <labl>176</labl>
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  <catgry>
    <catValu>177</catValu>
    <labl>177</labl>
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  <catgry>
    <catValu>178</catValu>
    <labl>178</labl>
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  <catgry>
    <catValu>179</catValu>
    <labl>179</labl>
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  <catgry>
    <catValu>180</catValu>
    <labl>180</labl>
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  <catgry>
    <catValu>181</catValu>
    <labl>181</labl>
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  <catgry>
    <catValu>182</catValu>
    <labl>182</labl>
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  <catgry>
    <catValu>183</catValu>
    <labl>183</labl>
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  <catgry>
    <catValu>184</catValu>
    <labl>184</labl>
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  <catgry>
    <catValu>185</catValu>
    <labl>185</labl>
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  <catgry>
    <catValu>186</catValu>
    <labl>186</labl>
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  <catgry>
    <catValu>187</catValu>
    <labl>187</labl>
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  <catgry>
    <catValu>188</catValu>
    <labl>188</labl>
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  <catgry>
    <catValu>189</catValu>
    <labl>189</labl>
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  <catgry>
    <catValu>190</catValu>
    <labl>190</labl>
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  <catgry>
    <catValu>191</catValu>
    <labl>191</labl>
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  <catgry>
    <catValu>192</catValu>
    <labl>192</labl>
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  <catgry>
    <catValu>193</catValu>
    <labl>193</labl>
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  <catgry>
    <catValu>194</catValu>
    <labl>194</labl>
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  <catgry>
    <catValu>195</catValu>
    <labl>195</labl>
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  <catgry>
    <catValu>196</catValu>
    <labl>196</labl>
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  <catgry>
    <catValu>197</catValu>
    <labl>197</labl>
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  <catgry>
    <catValu>198</catValu>
    <labl>198</labl>
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  <catgry>
    <catValu>199</catValu>
    <labl>199</labl>
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  <catgry>
    <catValu>200</catValu>
    <labl>200</labl>
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  <catgry>
    <catValu>201</catValu>
    <labl>201</labl>
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  <catgry>
    <catValu>202</catValu>
    <labl>202</labl>
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  <catgry>
    <catValu>203</catValu>
    <labl>203</labl>
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  <catgry>
    <catValu>204</catValu>
    <labl>204</labl>
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  <catgry>
    <catValu>205</catValu>
    <labl>205</labl>
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  <catgry>
    <catValu>206</catValu>
    <labl>206</labl>
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  <catgry>
    <catValu>207</catValu>
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  <catgry>
    <catValu>208</catValu>
    <labl>208</labl>
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  <catgry>
    <catValu>209</catValu>
    <labl>209</labl>
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  <catgry>
    <catValu>210</catValu>
    <labl>210</labl>
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  <catgry>
    <catValu>211</catValu>
    <labl>211</labl>
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  <catgry>
    <catValu>212</catValu>
    <labl>212</labl>
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  <catgry>
    <catValu>213</catValu>
    <labl>213</labl>
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  <catgry>
    <catValu>214</catValu>
    <labl>214</labl>
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  <catgry>
    <catValu>215</catValu>
    <labl>215</labl>
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  <catgry>
    <catValu>216</catValu>
    <labl>216</labl>
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  <catgry>
    <catValu>217</catValu>
    <labl>217</labl>
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  <catgry>
    <catValu>218</catValu>
    <labl>218</labl>
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  <catgry>
    <catValu>219</catValu>
    <labl>219</labl>
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  <catgry>
    <catValu>220</catValu>
    <labl>220</labl>
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  <catgry>
    <catValu>221</catValu>
    <labl>221</labl>
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  <catgry>
    <catValu>222</catValu>
    <labl>222</labl>
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  <catgry>
    <catValu>223</catValu>
    <labl>223</labl>
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  <catgry>
    <catValu>224</catValu>
    <labl>224</labl>
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  <catgry>
    <catValu>225</catValu>
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  <catgry>
    <catValu>226</catValu>
    <labl>226</labl>
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  <catgry>
    <catValu>227</catValu>
    <labl>227</labl>
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  <catgry>
    <catValu>228</catValu>
    <labl>228</labl>
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  <catgry>
    <catValu>229</catValu>
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    <catValu>230</catValu>
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    <catValu>231</catValu>
    <labl>231</labl>
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    <catValu>232</catValu>
    <labl>232</labl>
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  <catgry>
    <catValu>233</catValu>
    <labl>233</labl>
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  <catgry>
    <catValu>234</catValu>
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  <catgry>
    <catValu>235</catValu>
    <labl>235</labl>
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  <catgry>
    <catValu>236</catValu>
    <labl>236</labl>
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  <catgry>
    <catValu>237</catValu>
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  <catgry>
    <catValu>238</catValu>
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    <catValu>239</catValu>
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    <catValu>240</catValu>
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  <catgry>
    <catValu>241</catValu>
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  <catgry>
    <catValu>242</catValu>
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    <catValu>243</catValu>
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  <catgry>
    <catValu>244</catValu>
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  <catgry>
    <catValu>245</catValu>
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  <catgry>
    <catValu>246</catValu>
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    <catValu>247</catValu>
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  <catgry>
    <catValu>248</catValu>
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    <catValu>249</catValu>
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    <catValu>250</catValu>
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    <catValu>251</catValu>
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  <catgry>
    <catValu>252</catValu>
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    <catValu>253</catValu>
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    <catValu>254</catValu>
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    <catValu>255</catValu>
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    <catValu>256</catValu>
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    <catValu>257</catValu>
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    <catValu>258</catValu>
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    <catValu>259</catValu>
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    <catValu>260</catValu>
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    <catValu>261</catValu>
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    <catValu>262</catValu>
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    <catValu>263</catValu>
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    <catValu>264</catValu>
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    <catValu>265</catValu>
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    <catValu>266</catValu>
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    <catValu>267</catValu>
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    <catValu>268</catValu>
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    <catValu>269</catValu>
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    <catValu>270</catValu>
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    <catValu>271</catValu>
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    <catValu>272</catValu>
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    <catValu>273</catValu>
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    <catValu>274</catValu>
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    <catValu>275</catValu>
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    <catValu>276</catValu>
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    <catValu>277</catValu>
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    <catValu>278</catValu>
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    <catValu>279</catValu>
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    <catValu>280</catValu>
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    <catValu>281</catValu>
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    <catValu>282</catValu>
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    <catValu>283</catValu>
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    <catValu>284</catValu>
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    <catValu>285</catValu>
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    <catValu>286</catValu>
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    <catValu>287</catValu>
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    <catValu>288</catValu>
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    <catValu>289</catValu>
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    <catValu>290</catValu>
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    <catValu>291</catValu>
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    <catValu>292</catValu>
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    <catValu>293</catValu>
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    <catValu>294</catValu>
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    <catValu>295</catValu>
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    <catValu>296</catValu>
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    <catValu>297</catValu>
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    <catValu>298</catValu>
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    <catValu>299</catValu>
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    <catValu>300</catValu>
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    <catValu>301</catValu>
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    <catValu>302</catValu>
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    <catValu>303</catValu>
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    <catValu>304</catValu>
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    <catValu>305</catValu>
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    <catValu>306</catValu>
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    <catValu>307</catValu>
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    <catValu>308</catValu>
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    <catValu>309</catValu>
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    <catValu>310</catValu>
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    <catValu>311</catValu>
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    <catValu>312</catValu>
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    <catValu>313</catValu>
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    <catValu>314</catValu>
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    <catValu>316</catValu>
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    <catValu>317</catValu>
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    <catValu>318</catValu>
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    <catValu>319</catValu>
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    <catValu>320</catValu>
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    <catValu>322</catValu>
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    <catValu>323</catValu>
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    <catValu>324</catValu>
    <labl>324</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>325</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>326</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>327</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>328</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>329</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>330</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>331</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>332</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>333</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>334</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>335</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>336</labl>
  </catgry>
  <catgry>
    <catValu>337</catValu>
    <labl>337</labl>
  </catgry>
  <catgry>
    <catValu>338</catValu>
    <labl>338</labl>
  </catgry>
  <catgry>
    <catValu>339</catValu>
    <labl>339</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>340</labl>
  </catgry>
  <catgry>
    <catValu>341</catValu>
    <labl>341</labl>
  </catgry>
  <catgry>
    <catValu>342</catValu>
    <labl>342</labl>
  </catgry>
  <catgry>
    <catValu>343</catValu>
    <labl>343</labl>
  </catgry>
  <catgry>
    <catValu>344</catValu>
    <labl>344</labl>
  </catgry>
  <catgry>
    <catValu>345</catValu>
    <labl>345</labl>
  </catgry>
  <catgry>
    <catValu>346</catValu>
    <labl>346</labl>
  </catgry>
  <catgry>
    <catValu>347</catValu>
    <labl>347</labl>
  </catgry>
  <catgry>
    <catValu>348</catValu>
    <labl>348</labl>
  </catgry>
  <catgry>
    <catValu>349</catValu>
    <labl>349</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>350</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>351</labl>
  </catgry>
  <catgry>
    <catValu>352</catValu>
    <labl>352</labl>
  </catgry>
  <catgry>
    <catValu>353</catValu>
    <labl>353</labl>
  </catgry>
  <catgry>
    <catValu>354</catValu>
    <labl>354</labl>
  </catgry>
  <catgry>
    <catValu>355</catValu>
    <labl>355</labl>
  </catgry>
  <catgry>
    <catValu>356</catValu>
    <labl>356</labl>
  </catgry>
  <catgry>
    <catValu>357</catValu>
    <labl>357</labl>
  </catgry>
  <catgry>
    <catValu>358</catValu>
    <labl>358</labl>
  </catgry>
  <catgry>
    <catValu>359</catValu>
    <labl>359</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>360</labl>
  </catgry>
  <catgry>
    <catValu>361</catValu>
    <labl>361</labl>
  </catgry>
  <catgry>
    <catValu>362</catValu>
    <labl>362</labl>
  </catgry>
  <catgry>
    <catValu>363</catValu>
    <labl>363</labl>
  </catgry>
  <catgry>
    <catValu>364</catValu>
    <labl>364</labl>
  </catgry>
  <catgry>
    <catValu>365</catValu>
    <labl>365</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the three to five years preceding the survey who are not the first-born, or the twin of the first-born, child, BIRTHINTPREMO (B11) indicates the preceding birth interval, or the length of time in months the child was born after the mother's previous birth (i.e., after the child's first older sibling).</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BIRTHINTPOSTMO" name="B_BIRTHINTPOSTMO" files="B" intrvl="discrete">
  <labl>Length of following birth interval, in months</labl>
  <imputation>Length of following birth interval, in months</imputation>
  <security>Length of following birth interval, in months</security>
  <embargo>Length of following birth interval, in months</embargo>
  <respUnit>Length of following birth interval, in months</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the three to five years preceding the survey who are not the last-born, or twin of the last-born, child, BIRTHINTPOSTMO (B12) indicates the succeeding birth interval, or the length of time in months the child was born before the mother's next birth (or before the child's first younger sibling).</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_SOIL" name="B_SOIL" files="B" intrvl="discrete">
  <labl>Soil type</labl>
  <imputation>Soil type</imputation>
  <security>Soil type</security>
  <embargo>Soil type</embargo>
  <respUnit>Soil type</respUnit>
  <catgry>
    <catValu>-998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>0001</catValu>
    <labl>Haplic Acrisols</labl>
  </catgry>
  <catgry>
    <catValu>0002</catValu>
    <labl>Haplic Acrisols (Alumic)</labl>
  </catgry>
  <catgry>
    <catValu>0003</catValu>
    <labl>Haplic Acrisols (Ferric)</labl>
  </catgry>
  <catgry>
    <catValu>0004</catValu>
    <labl>Haplic Acrisols (Humic)</labl>
  </catgry>
  <catgry>
    <catValu>0005</catValu>
    <labl>Plinthic Acrisols</labl>
  </catgry>
  <catgry>
    <catValu>0006</catValu>
    <labl>Vetic Acrisols</labl>
  </catgry>
  <catgry>
    <catValu>0007</catValu>
    <labl>Haplic Albeluvisols</labl>
  </catgry>
  <catgry>
    <catValu>0008</catValu>
    <labl>Histic Albeluvisols</labl>
  </catgry>
  <catgry>
    <catValu>0009</catValu>
    <labl>Umbric Albeluvisols</labl>
  </catgry>
  <catgry>
    <catValu>0010</catValu>
    <labl>Cutanic Alisols</labl>
  </catgry>
  <catgry>
    <catValu>0011</catValu>
    <labl>Haplic Alisols</labl>
  </catgry>
  <catgry>
    <catValu>0012</catValu>
    <labl>Aluandic Andosols</labl>
  </catgry>
  <catgry>
    <catValu>0013</catValu>
    <labl>Haplic Andosols</labl>
  </catgry>
  <catgry>
    <catValu>0014</catValu>
    <labl>Vitric Andosols</labl>
  </catgry>
  <catgry>
    <catValu>0015</catValu>
    <labl>Albic Arenosols</labl>
  </catgry>
  <catgry>
    <catValu>0016</catValu>
    <labl>Ferralic Arenosols</labl>
  </catgry>
  <catgry>
    <catValu>0017</catValu>
    <labl>Haplic Arenosols</labl>
  </catgry>
  <catgry>
    <catValu>0018</catValu>
    <labl>Haplic Arenosols (Calcaric)</labl>
  </catgry>
  <catgry>
    <catValu>0019</catValu>
    <labl>Hypoluvic Arenosols</labl>
  </catgry>
  <catgry>
    <catValu>0020</catValu>
    <labl>Protic Arenosols</labl>
  </catgry>
  <catgry>
    <catValu>0021</catValu>
    <labl>Haplic Calcisols</labl>
  </catgry>
  <catgry>
    <catValu>0022</catValu>
    <labl>Haplic Calcisols (Sodic)</labl>
  </catgry>
  <catgry>
    <catValu>0023</catValu>
    <labl>Luvic Calcisols</labl>
  </catgry>
  <catgry>
    <catValu>0024</catValu>
    <labl>Petric Calcisols</labl>
  </catgry>
  <catgry>
    <catValu>0025</catValu>
    <labl>Endogleyic Cambisols</labl>
  </catgry>
  <catgry>
    <catValu>0026</catValu>
    <labl>Ferralic Cambisols</labl>
  </catgry>
  <catgry>
    <catValu>0027</catValu>
    <labl>Haplic Cambisols</labl>
  </catgry>
  <catgry>
    <catValu>0028</catValu>
    <labl>Haplic Cambisols (Calcaric)</labl>
  </catgry>
  <catgry>
    <catValu>0029</catValu>
    <labl>Haplic Cambisols (Chromic)</labl>
  </catgry>
  <catgry>
    <catValu>0030</catValu>
    <labl>Haplic Cambisols (Dystric)</labl>
  </catgry>
  <catgry>
    <catValu>0031</catValu>
    <labl>Haplic Cambisols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0032</catValu>
    <labl>Haplic Cambisols (Humic)</labl>
  </catgry>
  <catgry>
    <catValu>0033</catValu>
    <labl>Haplic Cambisols (Sodic)</labl>
  </catgry>
  <catgry>
    <catValu>0034</catValu>
    <labl>Leptic Cambisols</labl>
  </catgry>
  <catgry>
    <catValu>0035</catValu>
    <labl>Vertic Cambisols</labl>
  </catgry>
  <catgry>
    <catValu>0036</catValu>
    <labl>Calcic Chernozems</labl>
  </catgry>
  <catgry>
    <catValu>0037</catValu>
    <labl>Haplic Chernozems</labl>
  </catgry>
  <catgry>
    <catValu>0038</catValu>
    <labl>Luvic Chernozems</labl>
  </catgry>
  <catgry>
    <catValu>0039</catValu>
    <labl>Haplic Cryosols</labl>
  </catgry>
  <catgry>
    <catValu>0040</catValu>
    <labl>Turbic Cryosols</labl>
  </catgry>
  <catgry>
    <catValu>0041</catValu>
    <labl>Vitric Cryosols</labl>
  </catgry>
  <catgry>
    <catValu>0042</catValu>
    <labl>Petric Durisols</labl>
  </catgry>
  <catgry>
    <catValu>0043</catValu>
    <labl>Acric Ferralsols</labl>
  </catgry>
  <catgry>
    <catValu>0044</catValu>
    <labl>Haplic Ferralsols</labl>
  </catgry>
  <catgry>
    <catValu>0045</catValu>
    <labl>Haplic Ferralsols (Rhodic)</labl>
  </catgry>
  <catgry>
    <catValu>0046</catValu>
    <labl>Haplic Ferralsols (Xanthic)</labl>
  </catgry>
  <catgry>
    <catValu>0047</catValu>
    <labl>Umbric Ferralsols</labl>
  </catgry>
  <catgry>
    <catValu>0048</catValu>
    <labl>Haplic Fluvisols</labl>
  </catgry>
  <catgry>
    <catValu>0049</catValu>
    <labl>Haplic Fluvisols (Arenic)</labl>
  </catgry>
  <catgry>
    <catValu>0050</catValu>
    <labl>Haplic Fluvisols (Calcaric)</labl>
  </catgry>
  <catgry>
    <catValu>0051</catValu>
    <labl>Haplic Fluvisols (Dystric)</labl>
  </catgry>
  <catgry>
    <catValu>0052</catValu>
    <labl>Haplic Fluvisols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0053</catValu>
    <labl>Calcic Gleysols</labl>
  </catgry>
  <catgry>
    <catValu>0054</catValu>
    <labl>Haplic Gleysols</labl>
  </catgry>
  <catgry>
    <catValu>0055</catValu>
    <labl>Haplic Gleysols (Dystric)</labl>
  </catgry>
  <catgry>
    <catValu>0056</catValu>
    <labl>Haplic Gleysols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0057</catValu>
    <labl>Mollic Gleysols</labl>
  </catgry>
  <catgry>
    <catValu>0058</catValu>
    <labl>Umbric Gleysols</labl>
  </catgry>
  <catgry>
    <catValu>0059</catValu>
    <labl>Calcic Gypsisols</labl>
  </catgry>
  <catgry>
    <catValu>0060</catValu>
    <labl>Haplic Gypsisols</labl>
  </catgry>
  <catgry>
    <catValu>0061</catValu>
    <labl>Calcic Histosols</labl>
  </catgry>
  <catgry>
    <catValu>0062</catValu>
    <labl>Cryic Histosols</labl>
  </catgry>
  <catgry>
    <catValu>0063</catValu>
    <labl>Fibric Histosols</labl>
  </catgry>
  <catgry>
    <catValu>0064</catValu>
    <labl>Hemic Histosols</labl>
  </catgry>
  <catgry>
    <catValu>0065</catValu>
    <labl>Sapric Histosols</labl>
  </catgry>
  <catgry>
    <catValu>0066</catValu>
    <labl>Calcic Kastanozems</labl>
  </catgry>
  <catgry>
    <catValu>0067</catValu>
    <labl>Haplic Kastanozems</labl>
  </catgry>
  <catgry>
    <catValu>0068</catValu>
    <labl>Haplic Leptosols</labl>
  </catgry>
  <catgry>
    <catValu>0069</catValu>
    <labl>Haplic Leptosols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0070</catValu>
    <labl>Lithic Leptosols</labl>
  </catgry>
  <catgry>
    <catValu>0071</catValu>
    <labl>Mollic Leptosols</labl>
  </catgry>
  <catgry>
    <catValu>0072</catValu>
    <labl>Rendzic Leptosols</labl>
  </catgry>
  <catgry>
    <catValu>0073</catValu>
    <labl>Haplic Lixisols</labl>
  </catgry>
  <catgry>
    <catValu>0074</catValu>
    <labl>Haplic Lixisols (Chromic)</labl>
  </catgry>
  <catgry>
    <catValu>0075</catValu>
    <labl>Haplic Lixisols (Ferric)</labl>
  </catgry>
  <catgry>
    <catValu>0076</catValu>
    <labl>Albic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0077</catValu>
    <labl>Calcic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0078</catValu>
    <labl>Gleyic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0079</catValu>
    <labl>Haplic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0080</catValu>
    <labl>Haplic Luvisols (Chromic)</labl>
  </catgry>
  <catgry>
    <catValu>0081</catValu>
    <labl>Haplic Luvisols (Ferric)</labl>
  </catgry>
  <catgry>
    <catValu>0082</catValu>
    <labl>Leptic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0083</catValu>
    <labl>Stagnic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0084</catValu>
    <labl>Vertic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0085</catValu>
    <labl>Alic Nitisols</labl>
  </catgry>
  <catgry>
    <catValu>0086</catValu>
    <labl>Haplic Nitisols (Rhodic)</labl>
  </catgry>
  <catgry>
    <catValu>0087</catValu>
    <labl>Haplic Phaeozems</labl>
  </catgry>
  <catgry>
    <catValu>0088</catValu>
    <labl>Leptic Phaeozems</labl>
  </catgry>
  <catgry>
    <catValu>0089</catValu>
    <labl>Luvic Phaeozems</labl>
  </catgry>
  <catgry>
    <catValu>0090</catValu>
    <labl>Endogleyic Planosols</labl>
  </catgry>
  <catgry>
    <catValu>0091</catValu>
    <labl>Haplic Planosols (Dystric)</labl>
  </catgry>
  <catgry>
    <catValu>0092</catValu>
    <labl>Haplic Planosols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0093</catValu>
    <labl>Luvic Planosols</labl>
  </catgry>
  <catgry>
    <catValu>0094</catValu>
    <labl>Solodic Planosols</labl>
  </catgry>
  <catgry>
    <catValu>0095</catValu>
    <labl>Acric Plinthosols</labl>
  </catgry>
  <catgry>
    <catValu>0096</catValu>
    <labl>Lixic Plinthosols</labl>
  </catgry>
  <catgry>
    <catValu>0097</catValu>
    <labl>Gleyic Podzols</labl>
  </catgry>
  <catgry>
    <catValu>0098</catValu>
    <labl>Haplic Podzols</labl>
  </catgry>
  <catgry>
    <catValu>0099</catValu>
    <labl>Aric Regosols</labl>
  </catgry>
  <catgry>
    <catValu>0100</catValu>
    <labl>Calcaric Regosols</labl>
  </catgry>
  <catgry>
    <catValu>0101</catValu>
    <labl>Haplic Regosols (Dystric)</labl>
  </catgry>
  <catgry>
    <catValu>0102</catValu>
    <labl>Haplic Regosols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0103</catValu>
    <labl>Haplic Regosols (Sodic)</labl>
  </catgry>
  <catgry>
    <catValu>0104</catValu>
    <labl>Leptic Regosols</labl>
  </catgry>
  <catgry>
    <catValu>0105</catValu>
    <labl>Gypsic Solonchaks</labl>
  </catgry>
  <catgry>
    <catValu>0106</catValu>
    <labl>Haplic Solonchaks</labl>
  </catgry>
  <catgry>
    <catValu>0107</catValu>
    <labl>Haplic Solonchaks (Sodic)</labl>
  </catgry>
  <catgry>
    <catValu>0108</catValu>
    <labl>Calcic Solonetz</labl>
  </catgry>
  <catgry>
    <catValu>0109</catValu>
    <labl>Gleyic Solonetz</labl>
  </catgry>
  <catgry>
    <catValu>0110</catValu>
    <labl>Haplic Solonetz</labl>
  </catgry>
  <catgry>
    <catValu>0111</catValu>
    <labl>Mollic Solonetz</labl>
  </catgry>
  <catgry>
    <catValu>0112</catValu>
    <labl>Luvic Stagnosols</labl>
  </catgry>
  <catgry>
    <catValu>0113</catValu>
    <labl>Haplic Umbrisols</labl>
  </catgry>
  <catgry>
    <catValu>0114</catValu>
    <labl>Leptic Umbrisols</labl>
  </catgry>
  <catgry>
    <catValu>0115</catValu>
    <labl>Calcic Vertisols</labl>
  </catgry>
  <catgry>
    <catValu>0116</catValu>
    <labl>Haplic Vertisols</labl>
  </catgry>
  <catgry>
    <catValu>0117</catValu>
    <labl>Haplic Vertisols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0118</catValu>
    <labl>Mollic Vertisols</labl>
  </catgry>
  <txt>SOIL reports the predominant soil type within a 5-kilometer circular buffer around each DHS cluster location. The soil attributes reported in SOIL are: soil class (e.g., Leptosols), with 30 class categories, and soil type within that class (e.g., Lithic Leptosols). SOIL is available for every IPUMS-DHS sample with GPS data.

SOIL is based on data from SoilGrids [URL omitted from DDI.]. SoilGrids is a system for automated soil mapping based on global soil profile and covariate data. There are 118 different soil types in the world according to SoilGrids [URL omitted from DDI.]. For the full list of codes and their meaning, see the soil legend [URL omitted from DDI.].

SOIL, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_ECOREGION" name="B_ECOREGION" files="B" intrvl="discrete">
  <labl>Ecoregion of household</labl>
  <imputation>Ecoregion of household</imputation>
  <security>Ecoregion of household</security>
  <embargo>Ecoregion of household</embargo>
  <respUnit>Ecoregion of household</respUnit>
  <catgry>
    <catValu>-0998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>10101</catValu>
    <labl>Admiralty Islands lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10102</catValu>
    <labl>Banda Sea Islands moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>10103</catValu>
    <labl>Biak-Numfoor rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10104</catValu>
    <labl>Buru rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10105</catValu>
    <labl>Central Range montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10106</catValu>
    <labl>Halmahera rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10107</catValu>
    <labl>Huon Peninsula montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10108</catValu>
    <labl>Yapen rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10109</catValu>
    <labl>Lord Howe Island subtropical forests</labl>
  </catgry>
  <catgry>
    <catValu>10110</catValu>
    <labl>Louisiade Archipelago rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10111</catValu>
    <labl>New Britain-New Ireland lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10112</catValu>
    <labl>New Britain-New Ireland montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10113</catValu>
    <labl>New Caledonia rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10114</catValu>
    <labl>Norfolk Island subtropical forests</labl>
  </catgry>
  <catgry>
    <catValu>10115</catValu>
    <labl>Northern New Guinea lowland rain and freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>10116</catValu>
    <labl>Northern New Guinea montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10117</catValu>
    <labl>Queensland tropical rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10118</catValu>
    <labl>Seram rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10119</catValu>
    <labl>Solomon Islands rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10120</catValu>
    <labl>Southeastern Papuan rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10121</catValu>
    <labl>Southern New Guinea freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>10122</catValu>
    <labl>Southern New Guinea lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10123</catValu>
    <labl>Sulawesi lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10124</catValu>
    <labl>Sulawesi montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10125</catValu>
    <labl>Trobriand Islands rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10126</catValu>
    <labl>Vanuatu rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10127</catValu>
    <labl>Vogelkop montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10128</catValu>
    <labl>Vogelkop-Aru lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10201</catValu>
    <labl>Lesser Sundas deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>10202</catValu>
    <labl>New Caledonia dry forests</labl>
  </catgry>
  <catgry>
    <catValu>10203</catValu>
    <labl>Sumba deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>10204</catValu>
    <labl>Timor and Wetar deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>10401</catValu>
    <labl>Chatham Island temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10402</catValu>
    <labl>Eastern Australian temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10403</catValu>
    <labl>Fiordland temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10404</catValu>
    <labl>Nelson Coast temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10405</catValu>
    <labl>North Island temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10406</catValu>
    <labl>Northland temperate kauri forests</labl>
  </catgry>
  <catgry>
    <catValu>10407</catValu>
    <labl>Rakiura Island temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10408</catValu>
    <labl>Richmond temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10409</catValu>
    <labl>Southeast Australia temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10410</catValu>
    <labl>South Island temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10411</catValu>
    <labl>Tasmanian Central Highland forests</labl>
  </catgry>
  <catgry>
    <catValu>10412</catValu>
    <labl>Tasmanian temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10413</catValu>
    <labl>Tasmanian temperate rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10414</catValu>
    <labl>Westland temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10701</catValu>
    <labl>Arnhem Land tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10702</catValu>
    <labl>Brigalow tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10703</catValu>
    <labl>Cape York Peninsula tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10704</catValu>
    <labl>Carpentaria tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10705</catValu>
    <labl>Einasleigh upland savanna</labl>
  </catgry>
  <catgry>
    <catValu>10706</catValu>
    <labl>Kimberly tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10707</catValu>
    <labl>Mitchell grass downs</labl>
  </catgry>
  <catgry>
    <catValu>10708</catValu>
    <labl>Trans Fly savanna and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>10709</catValu>
    <labl>Victoria Plains tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10801</catValu>
    <labl>Cantebury-Otago tussock grasslands</labl>
  </catgry>
  <catgry>
    <catValu>10802</catValu>
    <labl>Eastern Australia mulga shrublands</labl>
  </catgry>
  <catgry>
    <catValu>10803</catValu>
    <labl>Southeast Australia temperate savanna</labl>
  </catgry>
  <catgry>
    <catValu>11001</catValu>
    <labl>Australian Alps montane grasslands</labl>
  </catgry>
  <catgry>
    <catValu>11002</catValu>
    <labl>Central Range sub-alpine grasslands</labl>
  </catgry>
  <catgry>
    <catValu>11003</catValu>
    <labl>South Island montane grasslands</labl>
  </catgry>
  <catgry>
    <catValu>11101</catValu>
    <labl>Antipodes Subantarctic Islands tundra</labl>
  </catgry>
  <catgry>
    <catValu>11201</catValu>
    <labl>Coolgardie woodlands</labl>
  </catgry>
  <catgry>
    <catValu>11202</catValu>
    <labl>Esperance mallee</labl>
  </catgry>
  <catgry>
    <catValu>11203</catValu>
    <labl>Eyre and York mallee</labl>
  </catgry>
  <catgry>
    <catValu>11204</catValu>
    <labl>Jarrah-Karri forest and shrublands</labl>
  </catgry>
  <catgry>
    <catValu>11205</catValu>
    <labl>Swan Coastal Plain Scrub and Woodlands</labl>
  </catgry>
  <catgry>
    <catValu>11206</catValu>
    <labl>Mount Lofty woodlands</labl>
  </catgry>
  <catgry>
    <catValu>11207</catValu>
    <labl>Murray-Darling woodlands and mallee</labl>
  </catgry>
  <catgry>
    <catValu>11208</catValu>
    <labl>Naracoorte woodlands</labl>
  </catgry>
  <catgry>
    <catValu>11209</catValu>
    <labl>Southwest Australia savanna</labl>
  </catgry>
  <catgry>
    <catValu>11210</catValu>
    <labl>Southwest Australia woodlands</labl>
  </catgry>
  <catgry>
    <catValu>11301</catValu>
    <labl>Carnarvon xeric shrublands</labl>
  </catgry>
  <catgry>
    <catValu>11302</catValu>
    <labl>Central Ranges xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>11303</catValu>
    <labl>Gibson desert</labl>
  </catgry>
  <catgry>
    <catValu>11304</catValu>
    <labl>Great Sandy-Tanami desert</labl>
  </catgry>
  <catgry>
    <catValu>11305</catValu>
    <labl>Great Victoria desert</labl>
  </catgry>
  <catgry>
    <catValu>11306</catValu>
    <labl>Nullarbor Plains xeric shrublands</labl>
  </catgry>
  <catgry>
    <catValu>11307</catValu>
    <labl>Pilbara shrublands</labl>
  </catgry>
  <catgry>
    <catValu>11308</catValu>
    <labl>Simpson desert</labl>
  </catgry>
  <catgry>
    <catValu>11309</catValu>
    <labl>Tirari-Sturt stony desert</labl>
  </catgry>
  <catgry>
    <catValu>11310</catValu>
    <labl>Western Australian Mulga shrublands</labl>
  </catgry>
  <catgry>
    <catValu>11401</catValu>
    <labl>New Guinea mangroves</labl>
  </catgry>
  <catgry>
    <catValu>21101</catValu>
    <labl>Marielandia Antarctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>21102</catValu>
    <labl>Maudlandia Antarctic desert</labl>
  </catgry>
  <catgry>
    <catValu>21103</catValu>
    <labl>Scotia Sea Islands tundra</labl>
  </catgry>
  <catgry>
    <catValu>21104</catValu>
    <labl>Southern Indian Ocean Islands tundra</labl>
  </catgry>
  <catgry>
    <catValu>30101</catValu>
    <labl>Albertine Rift montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30102</catValu>
    <labl>Atlantic Equatorial coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>30103</catValu>
    <labl>Cameroonian Highlands forests</labl>
  </catgry>
  <catgry>
    <catValu>30104</catValu>
    <labl>Central Congolian lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30105</catValu>
    <labl>Comoros forests</labl>
  </catgry>
  <catgry>
    <catValu>30106</catValu>
    <labl>Cross-Niger transition forests</labl>
  </catgry>
  <catgry>
    <catValu>30107</catValu>
    <labl>Cross-Sanaga-Bioko coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>30108</catValu>
    <labl>East African montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30109</catValu>
    <labl>Eastern Arc forests</labl>
  </catgry>
  <catgry>
    <catValu>30110</catValu>
    <labl>Eastern Congolian swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>30111</catValu>
    <labl>Eastern Guinean forests</labl>
  </catgry>
  <catgry>
    <catValu>30112</catValu>
    <labl>Ethiopian montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30113</catValu>
    <labl>Granitic Seychelles forests</labl>
  </catgry>
  <catgry>
    <catValu>30114</catValu>
    <labl>Guinean montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30115</catValu>
    <labl>Knysna-Amatole montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30116</catValu>
    <labl>KwaZulu-Cape coastal forest mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30117</catValu>
    <labl>Madagascar lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30118</catValu>
    <labl>Madagascar subhumid forests</labl>
  </catgry>
  <catgry>
    <catValu>30119</catValu>
    <labl>Maputaland coastal forest mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30120</catValu>
    <labl>Mascarene forests</labl>
  </catgry>
  <catgry>
    <catValu>30121</catValu>
    <labl>Mount Cameroon and Bioko montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30122</catValu>
    <labl>Niger Delta swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>30123</catValu>
    <labl>Nigerian lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30124</catValu>
    <labl>Northeastern Congolian lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30125</catValu>
    <labl>Northern Zanzibar-Inhambane coastal forest mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30126</catValu>
    <labl>Northwestern Congolian lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30127</catValu>
    <labl>Sao Tome, Principe and Annobon moist lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30128</catValu>
    <labl>Southern Zanzibar-Inhambane coastal forest mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30129</catValu>
    <labl>Western Congolian swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>30130</catValu>
    <labl>Western Guinean lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30201</catValu>
    <labl>Cape Verde Islands dry forests</labl>
  </catgry>
  <catgry>
    <catValu>30202</catValu>
    <labl>Madagascar dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>30203</catValu>
    <labl>Zambezian Cryptosepalum dry forests</labl>
  </catgry>
  <catgry>
    <catValu>30701</catValu>
    <labl>Angolan Miombo woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30702</catValu>
    <labl>Angolan Mopane woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30703</catValu>
    <labl>Ascension scrub and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30704</catValu>
    <labl>Central Zambezian Miombo woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30705</catValu>
    <labl>East Sudanian savanna</labl>
  </catgry>
  <catgry>
    <catValu>30706</catValu>
    <labl>Eastern Miombo woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30707</catValu>
    <labl>Guinean forest-savanna mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30708</catValu>
    <labl>Itigi-Sumbu thicket</labl>
  </catgry>
  <catgry>
    <catValu>30709</catValu>
    <labl>Kalahari Acacia-Baikiaea woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30710</catValu>
    <labl>Mandara Plateau mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30711</catValu>
    <labl>Northern Acacia-Commiphora bushlands and thickets</labl>
  </catgry>
  <catgry>
    <catValu>30712</catValu>
    <labl>Northern Congolian forest-savanna mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30713</catValu>
    <labl>Sahelian Acacia savanna</labl>
  </catgry>
  <catgry>
    <catValu>30714</catValu>
    <labl>Serengeti volcanic grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30715</catValu>
    <labl>Somali Acacia-Commiphora bushlands and thickets</labl>
  </catgry>
  <catgry>
    <catValu>30716</catValu>
    <labl>Southern Acacia-Commiphora bushlands and thickets</labl>
  </catgry>
  <catgry>
    <catValu>30717</catValu>
    <labl>Southern Africa bushveld</labl>
  </catgry>
  <catgry>
    <catValu>30718</catValu>
    <labl>Southern Congolian forest-savanna mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30719</catValu>
    <labl>Southern Miombo woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30720</catValu>
    <labl>St. Helena scrub and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30721</catValu>
    <labl>Victoria Basin forest-savanna mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30722</catValu>
    <labl>West Sudanian savanna</labl>
  </catgry>
  <catgry>
    <catValu>30723</catValu>
    <labl>Western Congolian forest-savanna mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30724</catValu>
    <labl>Western Zambezian grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30725</catValu>
    <labl>Zambezian and Mopane woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30726</catValu>
    <labl>Zambezian Baikiaea woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30801</catValu>
    <labl>Al Hajar montane woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30802</catValu>
    <labl>Amsterdam and Saint-Paul Islands temperate grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30803</catValu>
    <labl>Tristan Da Cunha-Gough Islands shrub and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30901</catValu>
    <labl>East African halophytics</labl>
  </catgry>
  <catgry>
    <catValu>30902</catValu>
    <labl>Etosha Pan halophytics</labl>
  </catgry>
  <catgry>
    <catValu>30903</catValu>
    <labl>Inner Niger Delta flooded savanna</labl>
  </catgry>
  <catgry>
    <catValu>30904</catValu>
    <labl>Lake Chad flooded savanna</labl>
  </catgry>
  <catgry>
    <catValu>30905</catValu>
    <labl>Saharan flooded grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30906</catValu>
    <labl>Zambezian coastal flooded savanna</labl>
  </catgry>
  <catgry>
    <catValu>30907</catValu>
    <labl>Zambezian flooded grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30908</catValu>
    <labl>Zambezian halophytics</labl>
  </catgry>
  <catgry>
    <catValu>31001</catValu>
    <labl>Angolan montane forest-grassland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>31002</catValu>
    <labl>Angolan scarp savanna and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31003</catValu>
    <labl>Drakensberg alti-montane grasslands and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31004</catValu>
    <labl>Drakensberg montane grasslands, woodlands and forests</labl>
  </catgry>
  <catgry>
    <catValu>31005</catValu>
    <labl>East African montane moorlands</labl>
  </catgry>
  <catgry>
    <catValu>31006</catValu>
    <labl>Eastern Zimbabwe montane forest-grassland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>31007</catValu>
    <labl>Ethiopian montane grasslands and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31008</catValu>
    <labl>Ethiopian montane moorlands</labl>
  </catgry>
  <catgry>
    <catValu>31009</catValu>
    <labl>Highveld grasslands</labl>
  </catgry>
  <catgry>
    <catValu>31010</catValu>
    <labl>Jos Plateau forest-grassland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>31011</catValu>
    <labl>Madagascar ericoid thickets</labl>
  </catgry>
  <catgry>
    <catValu>31012</catValu>
    <labl>Maputaland-Pondoland bushland and thickets</labl>
  </catgry>
  <catgry>
    <catValu>31013</catValu>
    <labl>Rwenzori-Virunga montane moorlands</labl>
  </catgry>
  <catgry>
    <catValu>31014</catValu>
    <labl>South Malawi montane forest-grassland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>31015</catValu>
    <labl>Southern Rift montane forest-grassland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>31201</catValu>
    <labl>Albany thickets</labl>
  </catgry>
  <catgry>
    <catValu>31202</catValu>
    <labl>Lowland fynbos and renosterveld</labl>
  </catgry>
  <catgry>
    <catValu>31203</catValu>
    <labl>Montane fynbos and renosterveld</labl>
  </catgry>
  <catgry>
    <catValu>31301</catValu>
    <labl>Aldabra Island xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>31302</catValu>
    <labl>Arabian Peninsula coastal fog desert</labl>
  </catgry>
  <catgry>
    <catValu>31303</catValu>
    <labl>East Saharan montane xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31304</catValu>
    <labl>Eritrean coastal desert</labl>
  </catgry>
  <catgry>
    <catValu>31305</catValu>
    <labl>Ethiopian xeric grasslands and shrublands</labl>
  </catgry>
  <catgry>
    <catValu>31306</catValu>
    <labl>Gulf of Oman desert and semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>31307</catValu>
    <labl>Hobyo grasslands and shrublands</labl>
  </catgry>
  <catgry>
    <catValu>31308</catValu>
    <labl>Ile Europa and Bassas da India xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>31309</catValu>
    <labl>Kalahari xeric savanna</labl>
  </catgry>
  <catgry>
    <catValu>31310</catValu>
    <labl>Kaokoveld desert</labl>
  </catgry>
  <catgry>
    <catValu>31311</catValu>
    <labl>Madagascar spiny thickets</labl>
  </catgry>
  <catgry>
    <catValu>31312</catValu>
    <labl>Madagascar succulent woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31313</catValu>
    <labl>Masai xeric grasslands and shrublands</labl>
  </catgry>
  <catgry>
    <catValu>31314</catValu>
    <labl>Nama Karoo</labl>
  </catgry>
  <catgry>
    <catValu>31315</catValu>
    <labl>Namib desert</labl>
  </catgry>
  <catgry>
    <catValu>31316</catValu>
    <labl>Namibian savanna woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31318</catValu>
    <labl>Socotra Island xeric shrublands</labl>
  </catgry>
  <catgry>
    <catValu>31319</catValu>
    <labl>Somali montane xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31320</catValu>
    <labl>Southwestern Arabian foothills savanna</labl>
  </catgry>
  <catgry>
    <catValu>31321</catValu>
    <labl>Southwestern Arabian montane woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31322</catValu>
    <labl>Succulent Karoo</labl>
  </catgry>
  <catgry>
    <catValu>31401</catValu>
    <labl>Central African mangroves</labl>
  </catgry>
  <catgry>
    <catValu>31402</catValu>
    <labl>East African mangroves</labl>
  </catgry>
  <catgry>
    <catValu>31403</catValu>
    <labl>Guinean mangroves</labl>
  </catgry>
  <catgry>
    <catValu>31404</catValu>
    <labl>Madagascar mangroves</labl>
  </catgry>
  <catgry>
    <catValu>31405</catValu>
    <labl>Southern Africa mangroves</labl>
  </catgry>
  <catgry>
    <catValu>40101</catValu>
    <labl>Andaman Islands rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40102</catValu>
    <labl>Borneo lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40103</catValu>
    <labl>Borneo montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40104</catValu>
    <labl>Borneo peat swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40105</catValu>
    <labl>Brahmaputra Valley semi-evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40106</catValu>
    <labl>Cardamom Mountains rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40107</catValu>
    <labl>Chao Phraya freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40108</catValu>
    <labl>Chao Phraya lowland moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40109</catValu>
    <labl>Chin Hills-Arakan Yoma montane forests</labl>
  </catgry>
  <catgry>
    <catValu>40110</catValu>
    <labl>Christmas and Cocos Islands tropical forests</labl>
  </catgry>
  <catgry>
    <catValu>40111</catValu>
    <labl>Eastern highlands moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40112</catValu>
    <labl>Eastern Java-Bali montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40113</catValu>
    <labl>Eastern Java-Bali rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40114</catValu>
    <labl>Greater Negros-Panay rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40115</catValu>
    <labl>Himalayan subtropical broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>40116</catValu>
    <labl>Irrawaddy freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40117</catValu>
    <labl>Irrawaddy moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40118</catValu>
    <labl>Jian Nan subtropical evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40119</catValu>
    <labl>Kayah-Karen montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40120</catValu>
    <labl>Lower Gangetic Plains moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40121</catValu>
    <labl>Luang Prabang montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40122</catValu>
    <labl>Luzon montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40123</catValu>
    <labl>Luzon rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40124</catValu>
    <labl>Malabar Coast moist forests</labl>
  </catgry>
  <catgry>
    <catValu>40125</catValu>
    <labl>Maldives-Lakshadweep-Chagos Archipelago tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>40126</catValu>
    <labl>Meghalaya subtropical forests</labl>
  </catgry>
  <catgry>
    <catValu>40127</catValu>
    <labl>Mentawai Islands rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40128</catValu>
    <labl>Mindanao montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40129</catValu>
    <labl>Mindanao-Eastern Visayas rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40130</catValu>
    <labl>Mindoro rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40131</catValu>
    <labl>Mizoram-Manipur-Kachin rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40132</catValu>
    <labl>Myanmar coastal rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40133</catValu>
    <labl>Nicobar Islands rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40134</catValu>
    <labl>North Western Ghats moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40135</catValu>
    <labl>North Western Ghats montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40136</catValu>
    <labl>Northern Annamites rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40137</catValu>
    <labl>Northern Indochina subtropical forests</labl>
  </catgry>
  <catgry>
    <catValu>40138</catValu>
    <labl>Northern Khorat Plateau moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40139</catValu>
    <labl>Northern Thailand-Laos moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40140</catValu>
    <labl>Northern Triangle subtropical forests</labl>
  </catgry>
  <catgry>
    <catValu>40141</catValu>
    <labl>Northern Vietnam lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40142</catValu>
    <labl>Orissa semi-evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40143</catValu>
    <labl>Palawan rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40144</catValu>
    <labl>Peninsular Malaysian montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40145</catValu>
    <labl>Peninsular Malaysian peat swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40146</catValu>
    <labl>Peninsular Malaysian rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40147</catValu>
    <labl>Red River freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40148</catValu>
    <labl>South China Sea Islands</labl>
  </catgry>
  <catgry>
    <catValu>40149</catValu>
    <labl>South China-Vietnam subtropical evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40150</catValu>
    <labl>South Western Ghats moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40151</catValu>
    <labl>South Western Ghats montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40152</catValu>
    <labl>Southern Annamites montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40153</catValu>
    <labl>Southwest Borneo freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40154</catValu>
    <labl>Sri Lanka lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40155</catValu>
    <labl>Sri Lanka montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40156</catValu>
    <labl>Sulu Archipelago rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40157</catValu>
    <labl>Sumatran freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40158</catValu>
    <labl>Sumatran lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40159</catValu>
    <labl>Sumatran montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40160</catValu>
    <labl>Sumatran peat swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40161</catValu>
    <labl>Sundaland heath forests</labl>
  </catgry>
  <catgry>
    <catValu>40162</catValu>
    <labl>Sundarbans freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40163</catValu>
    <labl>Tenasserim-South Thailand semi-evergreen rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40164</catValu>
    <labl>Tonle Sap freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40165</catValu>
    <labl>Tonle Sap-Mekong peat swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40166</catValu>
    <labl>Upper Gangetic Plains moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40167</catValu>
    <labl>Western Java montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40168</catValu>
    <labl>Western Java rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40169</catValu>
    <labl>Hainan Island monsoon rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40170</catValu>
    <labl>Nansei Islands subtropical evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40171</catValu>
    <labl>South Taiwan monsoon rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40172</catValu>
    <labl>Taiwan subtropical evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40201</catValu>
    <labl>Central Deccan Plateau dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40202</catValu>
    <labl>Central Indochina dry forests</labl>
  </catgry>
  <catgry>
    <catValu>40203</catValu>
    <labl>Chhota-Nagpur dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40204</catValu>
    <labl>East Deccan dry-evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40205</catValu>
    <labl>Irrawaddy dry forests</labl>
  </catgry>
  <catgry>
    <catValu>40206</catValu>
    <labl>Khathiar-Gir dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40207</catValu>
    <labl>Narmada Valley dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40208</catValu>
    <labl>Northern dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40209</catValu>
    <labl>South Deccan Plateau dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40210</catValu>
    <labl>Southeastern Indochina dry evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40211</catValu>
    <labl>Southern Vietnam lowland dry forests</labl>
  </catgry>
  <catgry>
    <catValu>40212</catValu>
    <labl>Sri Lanka dry-zone dry evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40301</catValu>
    <labl>Himalayan subtropical pine forests</labl>
  </catgry>
  <catgry>
    <catValu>40302</catValu>
    <labl>Luzon tropical pine forests</labl>
  </catgry>
  <catgry>
    <catValu>40303</catValu>
    <labl>Northeast India-Myanmar pine forests</labl>
  </catgry>
  <catgry>
    <catValu>40304</catValu>
    <labl>Sumatran tropical pine forests</labl>
  </catgry>
  <catgry>
    <catValu>40401</catValu>
    <labl>Eastern Himalayan broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>40402</catValu>
    <labl>Northern Triangle temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>40403</catValu>
    <labl>Western Himalayan broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>40501</catValu>
    <labl>Eastern Himalayan subalpine conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>40502</catValu>
    <labl>Western Himalayan subalpine conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>40701</catValu>
    <labl>Terai-Duar savanna and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>40901</catValu>
    <labl>Rann of Kutch seasonal salt marsh</labl>
  </catgry>
  <catgry>
    <catValu>41001</catValu>
    <labl>Kinabalu montane alpine meadows</labl>
  </catgry>
  <catgry>
    <catValu>41301</catValu>
    <labl>Deccan thorn scrub forests</labl>
  </catgry>
  <catgry>
    <catValu>41302</catValu>
    <labl>Indus Valley desert</labl>
  </catgry>
  <catgry>
    <catValu>41303</catValu>
    <labl>Northwestern thorn scrub forests</labl>
  </catgry>
  <catgry>
    <catValu>41304</catValu>
    <labl>Thar desert</labl>
  </catgry>
  <catgry>
    <catValu>41401</catValu>
    <labl>Goadavari-Krishna mangroves</labl>
  </catgry>
  <catgry>
    <catValu>41402</catValu>
    <labl>Indochina mangroves</labl>
  </catgry>
  <catgry>
    <catValu>41403</catValu>
    <labl>Indus River Delta-Arabian Sea mangroves</labl>
  </catgry>
  <catgry>
    <catValu>41404</catValu>
    <labl>Myanmar Coast mangroves</labl>
  </catgry>
  <catgry>
    <catValu>41405</catValu>
    <labl>Sunda Shelf mangroves</labl>
  </catgry>
  <catgry>
    <catValu>41406</catValu>
    <labl>Sundarbans mangroves</labl>
  </catgry>
  <catgry>
    <catValu>50201</catValu>
    <labl>Sonoran-Sinaloan transition subtropical dry forest</labl>
  </catgry>
  <catgry>
    <catValu>50301</catValu>
    <labl>Bermuda subtropical conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>50302</catValu>
    <labl>Sierra Madre Occidental pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>50303</catValu>
    <labl>Sierra Madre Oriental pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>50401</catValu>
    <labl>Allegheny Highlands forests</labl>
  </catgry>
  <catgry>
    <catValu>50402</catValu>
    <labl>Appalachian mixed mesophytic forests</labl>
  </catgry>
  <catgry>
    <catValu>50403</catValu>
    <labl>Appalachian-Blue Ridge forests</labl>
  </catgry>
  <catgry>
    <catValu>50404</catValu>
    <labl>Central U.S. hardwood forests</labl>
  </catgry>
  <catgry>
    <catValu>50405</catValu>
    <labl>East Central Texas forests</labl>
  </catgry>
  <catgry>
    <catValu>50406</catValu>
    <labl>Eastern forest-boreal transition</labl>
  </catgry>
  <catgry>
    <catValu>50407</catValu>
    <labl>Eastern Great Lakes lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>50408</catValu>
    <labl>Gulf of St. Lawrence lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>50409</catValu>
    <labl>Mississippi lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>50410</catValu>
    <labl>New England-Acadian forests</labl>
  </catgry>
  <catgry>
    <catValu>50411</catValu>
    <labl>Northeastern coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50412</catValu>
    <labl>Ozark Mountain forests</labl>
  </catgry>
  <catgry>
    <catValu>50413</catValu>
    <labl>Southeastern mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>50414</catValu>
    <labl>Southern Great Lakes forests</labl>
  </catgry>
  <catgry>
    <catValu>50415</catValu>
    <labl>Upper Midwest forest-savanna transition</labl>
  </catgry>
  <catgry>
    <catValu>50416</catValu>
    <labl>Western Great Lakes forests</labl>
  </catgry>
  <catgry>
    <catValu>50417</catValu>
    <labl>Willamette Valley forests</labl>
  </catgry>
  <catgry>
    <catValu>50501</catValu>
    <labl>Alberta Mountain forests</labl>
  </catgry>
  <catgry>
    <catValu>50502</catValu>
    <labl>Alberta-British Columbia foothills forests</labl>
  </catgry>
  <catgry>
    <catValu>50503</catValu>
    <labl>Arizona Mountains forests</labl>
  </catgry>
  <catgry>
    <catValu>50504</catValu>
    <labl>Atlantic coastal pine barrens</labl>
  </catgry>
  <catgry>
    <catValu>50505</catValu>
    <labl>Blue Mountains forests</labl>
  </catgry>
  <catgry>
    <catValu>50506</catValu>
    <labl>British Columbia mainland coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50507</catValu>
    <labl>Cascade Mountains leeward forests</labl>
  </catgry>
  <catgry>
    <catValu>50508</catValu>
    <labl>Central and Southern Cascades forests</labl>
  </catgry>
  <catgry>
    <catValu>50509</catValu>
    <labl>Central British Columbia Mountain forests</labl>
  </catgry>
  <catgry>
    <catValu>50510</catValu>
    <labl>Central Pacific coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50511</catValu>
    <labl>Colorado Rockies forests</labl>
  </catgry>
  <catgry>
    <catValu>50512</catValu>
    <labl>Eastern Cascades forests</labl>
  </catgry>
  <catgry>
    <catValu>50513</catValu>
    <labl>Florida sand pine scrub</labl>
  </catgry>
  <catgry>
    <catValu>50514</catValu>
    <labl>Fraser Plateau and Basin complex</labl>
  </catgry>
  <catgry>
    <catValu>50515</catValu>
    <labl>Great Basin montane forests</labl>
  </catgry>
  <catgry>
    <catValu>50516</catValu>
    <labl>Klamath-Siskiyou forests</labl>
  </catgry>
  <catgry>
    <catValu>50517</catValu>
    <labl>Middle Atlantic coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50518</catValu>
    <labl>North Central Rockies forests</labl>
  </catgry>
  <catgry>
    <catValu>50519</catValu>
    <labl>Northern California coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50520</catValu>
    <labl>Northern Pacific coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50521</catValu>
    <labl>Northern transitional alpine forests</labl>
  </catgry>
  <catgry>
    <catValu>50522</catValu>
    <labl>Okanagan dry forests</labl>
  </catgry>
  <catgry>
    <catValu>50523</catValu>
    <labl>Piney Woods forests</labl>
  </catgry>
  <catgry>
    <catValu>50524</catValu>
    <labl>Puget lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>50525</catValu>
    <labl>Queen Charlotte Islands</labl>
  </catgry>
  <catgry>
    <catValu>50526</catValu>
    <labl>Sierra Juarez and San Pedro Martir pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>50527</catValu>
    <labl>Sierra Nevada forests</labl>
  </catgry>
  <catgry>
    <catValu>50528</catValu>
    <labl>South Central Rockies forests</labl>
  </catgry>
  <catgry>
    <catValu>50529</catValu>
    <labl>Southeastern conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>50530</catValu>
    <labl>Wasatch and Uinta montane forests</labl>
  </catgry>
  <catgry>
    <catValu>50601</catValu>
    <labl>Alaska Peninsula montane taiga</labl>
  </catgry>
  <catgry>
    <catValu>50602</catValu>
    <labl>Central Canadian Shield forests</labl>
  </catgry>
  <catgry>
    <catValu>50603</catValu>
    <labl>Cook Inlet taiga</labl>
  </catgry>
  <catgry>
    <catValu>50604</catValu>
    <labl>Copper Plateau taiga</labl>
  </catgry>
  <catgry>
    <catValu>50605</catValu>
    <labl>Eastern Canadian forests</labl>
  </catgry>
  <catgry>
    <catValu>50606</catValu>
    <labl>Eastern Canadian Shield taiga</labl>
  </catgry>
  <catgry>
    <catValu>50607</catValu>
    <labl>Interior Alaska-Yukon lowland taiga</labl>
  </catgry>
  <catgry>
    <catValu>50608</catValu>
    <labl>Mid-Continental Canadian forests</labl>
  </catgry>
  <catgry>
    <catValu>50609</catValu>
    <labl>Midwestern Canadian Shield forests</labl>
  </catgry>
  <catgry>
    <catValu>50610</catValu>
    <labl>Muskwa-Slave Lake forests</labl>
  </catgry>
  <catgry>
    <catValu>50611</catValu>
    <labl>Newfoundland Highland forests</labl>
  </catgry>
  <catgry>
    <catValu>50612</catValu>
    <labl>Northern Canadian Shield taiga</labl>
  </catgry>
  <catgry>
    <catValu>50613</catValu>
    <labl>Northern Cordillera forests</labl>
  </catgry>
  <catgry>
    <catValu>50614</catValu>
    <labl>Northwest Territories taiga</labl>
  </catgry>
  <catgry>
    <catValu>50615</catValu>
    <labl>South Avalon-Burin oceanic barrens</labl>
  </catgry>
  <catgry>
    <catValu>50616</catValu>
    <labl>Southern Hudson Bay taiga</labl>
  </catgry>
  <catgry>
    <catValu>50617</catValu>
    <labl>Yukon Interior dry forests</labl>
  </catgry>
  <catgry>
    <catValu>50701</catValu>
    <labl>Western Gulf coastal grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50801</catValu>
    <labl>California Central Valley grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50802</catValu>
    <labl>Canadian Aspen forests and parklands</labl>
  </catgry>
  <catgry>
    <catValu>50803</catValu>
    <labl>Central and Southern mixed grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50804</catValu>
    <labl>Central forest-grasslands transition</labl>
  </catgry>
  <catgry>
    <catValu>50805</catValu>
    <labl>Central tall grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50806</catValu>
    <labl>Edwards Plateau savanna</labl>
  </catgry>
  <catgry>
    <catValu>50807</catValu>
    <labl>Flint Hills tall grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50808</catValu>
    <labl>Montana Valley and Foothill grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50809</catValu>
    <labl>Nebraska Sand Hills mixed grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50810</catValu>
    <labl>Northern mixed grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50811</catValu>
    <labl>Northern short grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50812</catValu>
    <labl>Northern tall grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50813</catValu>
    <labl>Palouse grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50814</catValu>
    <labl>Texas blackland prairies</labl>
  </catgry>
  <catgry>
    <catValu>50815</catValu>
    <labl>Western short grasslands</labl>
  </catgry>
  <catgry>
    <catValu>51101</catValu>
    <labl>Alaska-St. Elias Range tundra</labl>
  </catgry>
  <catgry>
    <catValu>51102</catValu>
    <labl>Aleutian Islands tundra</labl>
  </catgry>
  <catgry>
    <catValu>51103</catValu>
    <labl>Arctic coastal tundra</labl>
  </catgry>
  <catgry>
    <catValu>51104</catValu>
    <labl>Arctic foothills tundra</labl>
  </catgry>
  <catgry>
    <catValu>51105</catValu>
    <labl>Baffin coastal tundra</labl>
  </catgry>
  <catgry>
    <catValu>51106</catValu>
    <labl>Beringia lowland tundra</labl>
  </catgry>
  <catgry>
    <catValu>51107</catValu>
    <labl>Beringia upland tundra</labl>
  </catgry>
  <catgry>
    <catValu>51108</catValu>
    <labl>Brooks-British Range tundra</labl>
  </catgry>
  <catgry>
    <catValu>51109</catValu>
    <labl>Davis Highlands tundra</labl>
  </catgry>
  <catgry>
    <catValu>51110</catValu>
    <labl>High Arctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>51111</catValu>
    <labl>Interior Yukon-Alaska alpine tundra</labl>
  </catgry>
  <catgry>
    <catValu>51112</catValu>
    <labl>Kalaallit Nunaat high arctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>51113</catValu>
    <labl>Kalaallit Nunaat low arctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>51114</catValu>
    <labl>Low Arctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>51115</catValu>
    <labl>Middle Arctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>51116</catValu>
    <labl>Ogilvie-MacKenzie alpine tundra</labl>
  </catgry>
  <catgry>
    <catValu>51117</catValu>
    <labl>Pacific Coastal Mountain icefields and tundra</labl>
  </catgry>
  <catgry>
    <catValu>51118</catValu>
    <labl>Torngat Mountain tundra</labl>
  </catgry>
  <catgry>
    <catValu>51201</catValu>
    <labl>California coastal sage and chaparral</labl>
  </catgry>
  <catgry>
    <catValu>51202</catValu>
    <labl>California interior chaparral and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>51203</catValu>
    <labl>California montane chaparral and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>51301</catValu>
    <labl>Baja California desert</labl>
  </catgry>
  <catgry>
    <catValu>51302</catValu>
    <labl>Central Mexican matorral</labl>
  </catgry>
  <catgry>
    <catValu>51303</catValu>
    <labl>Chihuahuan desert</labl>
  </catgry>
  <catgry>
    <catValu>51304</catValu>
    <labl>Colorado Plateau shrublands</labl>
  </catgry>
  <catgry>
    <catValu>51305</catValu>
    <labl>Great Basin shrub steppe</labl>
  </catgry>
  <catgry>
    <catValu>51306</catValu>
    <labl>Gulf of California xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>51307</catValu>
    <labl>Meseta Central matorral</labl>
  </catgry>
  <catgry>
    <catValu>51308</catValu>
    <labl>Mojave desert</labl>
  </catgry>
  <catgry>
    <catValu>51309</catValu>
    <labl>Snake-Columbia shrub steppe</labl>
  </catgry>
  <catgry>
    <catValu>51310</catValu>
    <labl>Sonoran desert</labl>
  </catgry>
  <catgry>
    <catValu>51311</catValu>
    <labl>Tamaulipan matorral</labl>
  </catgry>
  <catgry>
    <catValu>51312</catValu>
    <labl>Tamaulipan mezquital</labl>
  </catgry>
  <catgry>
    <catValu>51313</catValu>
    <labl>Wyoming Basin shrub steppe</labl>
  </catgry>
  <catgry>
    <catValu>60101</catValu>
    <labl>Araucaria moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60102</catValu>
    <labl>Atlantic Coast restingas</labl>
  </catgry>
  <catgry>
    <catValu>60103</catValu>
    <labl>Bahia coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>60104</catValu>
    <labl>Bahia interior forests</labl>
  </catgry>
  <catgry>
    <catValu>60105</catValu>
    <labl>Bolivian Yungas</labl>
  </catgry>
  <catgry>
    <catValu>60106</catValu>
    <labl>Caatinga Enclaves moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60107</catValu>
    <labl>Caqueta moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60108</catValu>
    <labl>Catatumbo moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60109</catValu>
    <labl>Cauca Valley montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60110</catValu>
    <labl>Cayos Miskitos-San Andrés and Providencia moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60111</catValu>
    <labl>Central American Atlantic moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60112</catValu>
    <labl>Central American montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60113</catValu>
    <labl>Chiapas montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60114</catValu>
    <labl>Chimalapas montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60115</catValu>
    <labl>Chocó-Darién moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60116</catValu>
    <labl>Cocos Island moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60117</catValu>
    <labl>Cordillera La Costa montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60118</catValu>
    <labl>Cordillera Oriental montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60119</catValu>
    <labl>Costa Rican seasonal moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60120</catValu>
    <labl>Cuban moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60121</catValu>
    <labl>Eastern Cordillera real montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60122</catValu>
    <labl>Eastern Panamanian montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60123</catValu>
    <labl>Fernando de Noronha-Atol das Rocas moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60124</catValu>
    <labl>Guianan Highlands moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60125</catValu>
    <labl>Guianan moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60126</catValu>
    <labl>Gurupa varzeá</labl>
  </catgry>
  <catgry>
    <catValu>60127</catValu>
    <labl>Hispaniolan moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60128</catValu>
    <labl>Iquitos varzeá</labl>
  </catgry>
  <catgry>
    <catValu>60129</catValu>
    <labl>Isthmian-Atlantic moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60130</catValu>
    <labl>Isthmian-Pacific moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60131</catValu>
    <labl>Jamaican moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60132</catValu>
    <labl>Japurá-Solimoes-Negro moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60133</catValu>
    <labl>Juruá-Purus moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60134</catValu>
    <labl>Leeward Islands moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60135</catValu>
    <labl>Madeira-Tapajós moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60136</catValu>
    <labl>Magdalena Valley montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60137</catValu>
    <labl>Magdalena-Urabá moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60138</catValu>
    <labl>Marajó varzeá</labl>
  </catgry>
  <catgry>
    <catValu>60139</catValu>
    <labl>Maranhão Babaçu forests</labl>
  </catgry>
  <catgry>
    <catValu>60140</catValu>
    <labl>Mato Grosso seasonal forests</labl>
  </catgry>
  <catgry>
    <catValu>60141</catValu>
    <labl>Monte Alegre varzeá</labl>
  </catgry>
  <catgry>
    <catValu>60142</catValu>
    <labl>Napo moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60143</catValu>
    <labl>Negro-Branco moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60144</catValu>
    <labl>Northeastern Brazil restingas</labl>
  </catgry>
  <catgry>
    <catValu>60145</catValu>
    <labl>Northwestern Andean montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60146</catValu>
    <labl>Oaxacan montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60147</catValu>
    <labl>Orinoco Delta swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>60148</catValu>
    <labl>Pantanos de Centla</labl>
  </catgry>
  <catgry>
    <catValu>60149</catValu>
    <labl>Guianan freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>60150</catValu>
    <labl>Alto Paraná Atlantic forests</labl>
  </catgry>
  <catgry>
    <catValu>60151</catValu>
    <labl>Pernambuco coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>60152</catValu>
    <labl>Pernambuco interior forests</labl>
  </catgry>
  <catgry>
    <catValu>60153</catValu>
    <labl>Peruvian Yungas</labl>
  </catgry>
  <catgry>
    <catValu>60154</catValu>
    <labl>Petén-Veracruz moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60155</catValu>
    <labl>Puerto Rican moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60156</catValu>
    <labl>Purus varzeá</labl>
  </catgry>
  <catgry>
    <catValu>60157</catValu>
    <labl>Purus-Madeira moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60158</catValu>
    <labl>Rio Negro campinarana</labl>
  </catgry>
  <catgry>
    <catValu>60159</catValu>
    <labl>Santa Marta montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60160</catValu>
    <labl>Serra do Mar coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>60161</catValu>
    <labl>Sierra de los Tuxtlas</labl>
  </catgry>
  <catgry>
    <catValu>60162</catValu>
    <labl>Sierra Madre de Chiapas moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60163</catValu>
    <labl>Solimões-Japurá moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60164</catValu>
    <labl>South Florida rocklands</labl>
  </catgry>
  <catgry>
    <catValu>60165</catValu>
    <labl>Southern Andean Yungas</labl>
  </catgry>
  <catgry>
    <catValu>60166</catValu>
    <labl>Southwest Amazon moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60167</catValu>
    <labl>Talamancan montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60168</catValu>
    <labl>Tapajós-Xingu moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60169</catValu>
    <labl>Pantepui</labl>
  </catgry>
  <catgry>
    <catValu>60170</catValu>
    <labl>Tocantins/Pindare moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60171</catValu>
    <labl>Trinidad and Tobago moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60172</catValu>
    <labl>Trindade-Martin Vaz Islands tropical forests</labl>
  </catgry>
  <catgry>
    <catValu>60173</catValu>
    <labl>Uatuma-Trombetas moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60174</catValu>
    <labl>Ucayali moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60175</catValu>
    <labl>Venezuelan Andes montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60176</catValu>
    <labl>Veracruz moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60177</catValu>
    <labl>Veracruz montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60178</catValu>
    <labl>Western Ecuador moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60179</catValu>
    <labl>Windward Islands moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60180</catValu>
    <labl>Xingu-Tocantins-Araguaia moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60181</catValu>
    <labl>Yucatán moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60182</catValu>
    <labl>Guianan piedmont and lowland moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60201</catValu>
    <labl>Apure-Villavicencio dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60202</catValu>
    <labl>Atlantic dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60204</catValu>
    <labl>Bajío dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60205</catValu>
    <labl>Balsas dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60206</catValu>
    <labl>Bolivian montane dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60207</catValu>
    <labl>Cauca Valley dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60209</catValu>
    <labl>Central American dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60210</catValu>
    <labl>Dry Chaco</labl>
  </catgry>
  <catgry>
    <catValu>60211</catValu>
    <labl>Chiapas Depression dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60212</catValu>
    <labl>Chiquitano dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60213</catValu>
    <labl>Cuban dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60214</catValu>
    <labl>Ecuadorian dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60215</catValu>
    <labl>Hispaniolan dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60216</catValu>
    <labl>Islas Revillagigedo dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60217</catValu>
    <labl>Jalisco dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60218</catValu>
    <labl>Jamaican dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60219</catValu>
    <labl>Lara-Falcón dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60220</catValu>
    <labl>Lesser Antillean dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60221</catValu>
    <labl>Magdalena Valley dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60222</catValu>
    <labl>Maracaibo dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60223</catValu>
    <labl>Marañón dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60224</catValu>
    <labl>Panamanian dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60225</catValu>
    <labl>Patía Valley dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60226</catValu>
    <labl>Puerto Rican dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60227</catValu>
    <labl>Sierra de la Laguna dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60228</catValu>
    <labl>Sinaloan dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60229</catValu>
    <labl>Sinú Valley dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60230</catValu>
    <labl>Southern Pacific dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60232</catValu>
    <labl>Tumbes-Piura dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60233</catValu>
    <labl>Veracruz dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60235</catValu>
    <labl>Yucatán dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60301</catValu>
    <labl>Bahamian pine mosaic</labl>
  </catgry>
  <catgry>
    <catValu>60302</catValu>
    <labl>Belizian pine forests</labl>
  </catgry>
  <catgry>
    <catValu>60303</catValu>
    <labl>Central American pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>60304</catValu>
    <labl>Cuban pine forests</labl>
  </catgry>
  <catgry>
    <catValu>60305</catValu>
    <labl>Hispaniolan pine forests</labl>
  </catgry>
  <catgry>
    <catValu>60306</catValu>
    <labl>Miskito pine forests</labl>
  </catgry>
  <catgry>
    <catValu>60307</catValu>
    <labl>Sierra de la Laguna pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>60308</catValu>
    <labl>Sierra Madre de Oaxaca pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>60309</catValu>
    <labl>Sierra Madre del Sur pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>60310</catValu>
    <labl>Trans-Mexican Volcanic Belt pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>60401</catValu>
    <labl>Juan Fernández Islands temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>60402</catValu>
    <labl>Magellanic subpolar forests</labl>
  </catgry>
  <catgry>
    <catValu>60403</catValu>
    <labl>San Félix-San Ambrosio Islands temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>60404</catValu>
    <labl>Valdivian temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>60702</catValu>
    <labl>Beni savanna</labl>
  </catgry>
  <catgry>
    <catValu>60703</catValu>
    <labl>Campos Rupestres montane savanna</labl>
  </catgry>
  <catgry>
    <catValu>60704</catValu>
    <labl>Cerrado</labl>
  </catgry>
  <catgry>
    <catValu>60705</catValu>
    <labl>Clipperton Island shrub and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>60707</catValu>
    <labl>Guianan savanna</labl>
  </catgry>
  <catgry>
    <catValu>60708</catValu>
    <labl>Humid Chaco</labl>
  </catgry>
  <catgry>
    <catValu>60709</catValu>
    <labl>Llanos</labl>
  </catgry>
  <catgry>
    <catValu>60710</catValu>
    <labl>Uruguayan savanna</labl>
  </catgry>
  <catgry>
    <catValu>60801</catValu>
    <labl>Espinal</labl>
  </catgry>
  <catgry>
    <catValu>60802</catValu>
    <labl>Low Monte</labl>
  </catgry>
  <catgry>
    <catValu>60803</catValu>
    <labl>Humid Pampas</labl>
  </catgry>
  <catgry>
    <catValu>60805</catValu>
    <labl>Patagonian steppe</labl>
  </catgry>
  <catgry>
    <catValu>60902</catValu>
    <labl>Cuban wetlands</labl>
  </catgry>
  <catgry>
    <catValu>60903</catValu>
    <labl>Enriquillo wetlands</labl>
  </catgry>
  <catgry>
    <catValu>60904</catValu>
    <labl>Everglades</labl>
  </catgry>
  <catgry>
    <catValu>60905</catValu>
    <labl>Guayaquil flooded grasslands</labl>
  </catgry>
  <catgry>
    <catValu>60906</catValu>
    <labl>Orinoco wetlands</labl>
  </catgry>
  <catgry>
    <catValu>60907</catValu>
    <labl>Pantanal</labl>
  </catgry>
  <catgry>
    <catValu>60908</catValu>
    <labl>Paraná flooded savanna</labl>
  </catgry>
  <catgry>
    <catValu>60909</catValu>
    <labl>Southern Cone Mesopotamian savanna</labl>
  </catgry>
  <catgry>
    <catValu>61001</catValu>
    <labl>Central Andean dry puna</labl>
  </catgry>
  <catgry>
    <catValu>61002</catValu>
    <labl>Central Andean puna</labl>
  </catgry>
  <catgry>
    <catValu>61003</catValu>
    <labl>Central Andean wet puna</labl>
  </catgry>
  <catgry>
    <catValu>61004</catValu>
    <labl>Cordillera Central páramo</labl>
  </catgry>
  <catgry>
    <catValu>61005</catValu>
    <labl>Cordillera de Merida páramo</labl>
  </catgry>
  <catgry>
    <catValu>61006</catValu>
    <labl>Northern Andean páramo</labl>
  </catgry>
  <catgry>
    <catValu>61007</catValu>
    <labl>Santa Marta páramo</labl>
  </catgry>
  <catgry>
    <catValu>61008</catValu>
    <labl>Southern Andean steppe</labl>
  </catgry>
  <catgry>
    <catValu>61010</catValu>
    <labl>High Monte</labl>
  </catgry>
  <catgry>
    <catValu>61201</catValu>
    <labl>Chilean matorral</labl>
  </catgry>
  <catgry>
    <catValu>61301</catValu>
    <labl>Araya and Paria xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>61303</catValu>
    <labl>Atacama desert</labl>
  </catgry>
  <catgry>
    <catValu>61304</catValu>
    <labl>Caatinga</labl>
  </catgry>
  <catgry>
    <catValu>61305</catValu>
    <labl>Caribbean shrublands</labl>
  </catgry>
  <catgry>
    <catValu>61306</catValu>
    <labl>Cuban cactus scrub</labl>
  </catgry>
  <catgry>
    <catValu>61307</catValu>
    <labl>Galápagos Islands scrubland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>61308</catValu>
    <labl>Guajira-Barranquilla xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>61309</catValu>
    <labl>La Costa xeric shrublands</labl>
  </catgry>
  <catgry>
    <catValu>61311</catValu>
    <labl>Malpelo Island xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>61312</catValu>
    <labl>Motagua Valley thornscrub</labl>
  </catgry>
  <catgry>
    <catValu>61313</catValu>
    <labl>Paraguana xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>61314</catValu>
    <labl>San Lucan xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>61315</catValu>
    <labl>Sechura desert</labl>
  </catgry>
  <catgry>
    <catValu>61316</catValu>
    <labl>Tehuacán Valley matorral</labl>
  </catgry>
  <catgry>
    <catValu>61318</catValu>
    <labl>St. Peter and St. Paul rocks</labl>
  </catgry>
  <catgry>
    <catValu>61401</catValu>
    <labl>Amazon-Orinoco-Southern Caribbean mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61402</catValu>
    <labl>Bahamian-Antillean mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61403</catValu>
    <labl>Mesoamerican Gulf-Caribbean mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61404</catValu>
    <labl>Northern Mesoamerican Pacific mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61405</catValu>
    <labl>South American Pacific mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61406</catValu>
    <labl>Southern Atlantic mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61407</catValu>
    <labl>Southern Mesoamerican Pacific mangroves</labl>
  </catgry>
  <catgry>
    <catValu>70101</catValu>
    <labl>Carolines tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70102</catValu>
    <labl>Central Polynesian tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70103</catValu>
    <labl>Cook Islands tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70104</catValu>
    <labl>Eastern Micronesia tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70105</catValu>
    <labl>Fiji tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70106</catValu>
    <labl>Hawaii tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70107</catValu>
    <labl>Kermadec Islands subtropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70108</catValu>
    <labl>Marquesas tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70109</catValu>
    <labl>Ogasawara subtropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70110</catValu>
    <labl>Palau tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70111</catValu>
    <labl>Rapa Nui subtropical broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>70112</catValu>
    <labl>Samoan tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70113</catValu>
    <labl>Society Islands tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70114</catValu>
    <labl>Tongan tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70115</catValu>
    <labl>Tuamotu tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70116</catValu>
    <labl>Tubuai tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70117</catValu>
    <labl>Western Polynesian tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70201</catValu>
    <labl>Fiji tropical dry forests</labl>
  </catgry>
  <catgry>
    <catValu>70202</catValu>
    <labl>Hawaii tropical dry forests</labl>
  </catgry>
  <catgry>
    <catValu>70203</catValu>
    <labl>Marianas tropical dry forests</labl>
  </catgry>
  <catgry>
    <catValu>70204</catValu>
    <labl>Yap tropical dry forests</labl>
  </catgry>
  <catgry>
    <catValu>70701</catValu>
    <labl>Hawaii tropical high shrublands</labl>
  </catgry>
  <catgry>
    <catValu>70702</catValu>
    <labl>Hawaii tropical low shrublands</labl>
  </catgry>
  <catgry>
    <catValu>70703</catValu>
    <labl>Northwestern Hawaii scrub</labl>
  </catgry>
  <catgry>
    <catValu>80101</catValu>
    <labl>Guizhou Plateau broadleaf and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80102</catValu>
    <labl>Yunnan Plateau subtropical evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80401</catValu>
    <labl>Appenine deciduous montane forests</labl>
  </catgry>
  <catgry>
    <catValu>80402</catValu>
    <labl>Atlantic mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80403</catValu>
    <labl>Azores temperate mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80404</catValu>
    <labl>Balkan mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80405</catValu>
    <labl>Baltic mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80406</catValu>
    <labl>Cantabrian mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80407</catValu>
    <labl>Caspian Hyrcanian mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80408</catValu>
    <labl>Caucasus mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80409</catValu>
    <labl>Celtic broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>80410</catValu>
    <labl>Central Anatolian steppe and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>80411</catValu>
    <labl>Central China loess plateau mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80412</catValu>
    <labl>Central European mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80413</catValu>
    <labl>Central Korean deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80414</catValu>
    <labl>Changbai Mountains mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80415</catValu>
    <labl>Changjiang Plain evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80416</catValu>
    <labl>Crimean Submediterranean forest complex</labl>
  </catgry>
  <catgry>
    <catValu>80417</catValu>
    <labl>Daba Mountains evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80418</catValu>
    <labl>Dinaric Mountains mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80419</catValu>
    <labl>East European forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80420</catValu>
    <labl>Eastern Anatolian deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80421</catValu>
    <labl>English Lowlands beech forests</labl>
  </catgry>
  <catgry>
    <catValu>80422</catValu>
    <labl>Euxine-Colchic broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>80423</catValu>
    <labl>Hokkaido deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80424</catValu>
    <labl>Huang He Plain mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80425</catValu>
    <labl>Madeira evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80426</catValu>
    <labl>Manchurian mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80427</catValu>
    <labl>Nihonkai evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80428</catValu>
    <labl>Nihonkai montane deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80429</catValu>
    <labl>North Atlantic moist mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80430</catValu>
    <labl>Northeast China Plain deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80431</catValu>
    <labl>Pannonian mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80432</catValu>
    <labl>Po Basin mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80433</catValu>
    <labl>Pyrenees conifer and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80434</catValu>
    <labl>Qin Ling Mountains deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80435</catValu>
    <labl>Rodope montane mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80436</catValu>
    <labl>Sarmatic mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80437</catValu>
    <labl>Sichuan Basin evergreen broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>80438</catValu>
    <labl>South Sakhalin-Kurile mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80439</catValu>
    <labl>Southern Korea evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80440</catValu>
    <labl>Taiheiyo evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80441</catValu>
    <labl>Taiheiyo montane deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80442</catValu>
    <labl>Tarim Basin deciduous forests and steppe</labl>
  </catgry>
  <catgry>
    <catValu>80443</catValu>
    <labl>Ussuri broadleaf and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80444</catValu>
    <labl>Western Siberian hemiboreal forests</labl>
  </catgry>
  <catgry>
    <catValu>80445</catValu>
    <labl>Western European broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>80446</catValu>
    <labl>Zagros Mountains forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80501</catValu>
    <labl>Alps conifer and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80502</catValu>
    <labl>Altai montane forest and forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80503</catValu>
    <labl>Caledon conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80504</catValu>
    <labl>Carpathian montane forests</labl>
  </catgry>
  <catgry>
    <catValu>80505</catValu>
    <labl>Da Hinggan-Dzhagdy Mountains conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80506</catValu>
    <labl>East Afghan montane conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80507</catValu>
    <labl>Elburz Range forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80508</catValu>
    <labl>Helanshan montane conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80509</catValu>
    <labl>Hengduan Mountains subalpine conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80510</catValu>
    <labl>Hokkaido montane conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80511</catValu>
    <labl>Honshu alpine conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80512</catValu>
    <labl>Khangai Mountains conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80513</catValu>
    <labl>Mediterranean conifer and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80514</catValu>
    <labl>Northeastern Himalayan subalpine conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80515</catValu>
    <labl>Northern Anatolian conifer and deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80516</catValu>
    <labl>Nujiang Langcang Gorge alpine conifer and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80517</catValu>
    <labl>Qilian Mountains conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80518</catValu>
    <labl>Qionglai-Minshan conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80519</catValu>
    <labl>Sayan montane conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80520</catValu>
    <labl>Scandinavian coastal conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80521</catValu>
    <labl>Tian Shan montane conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80601</catValu>
    <labl>East Siberian taiga</labl>
  </catgry>
  <catgry>
    <catValu>80602</catValu>
    <labl>Iceland boreal birch forests and alpine tundra</labl>
  </catgry>
  <catgry>
    <catValu>80603</catValu>
    <labl>Kamchatka-Kurile meadows and sparse forests</labl>
  </catgry>
  <catgry>
    <catValu>80604</catValu>
    <labl>Kamchatka-Kurile taiga</labl>
  </catgry>
  <catgry>
    <catValu>80605</catValu>
    <labl>Northeast Siberian taiga</labl>
  </catgry>
  <catgry>
    <catValu>80606</catValu>
    <labl>Okhotsk-Manchurian taiga</labl>
  </catgry>
  <catgry>
    <catValu>80607</catValu>
    <labl>Sakhalin Island taiga</labl>
  </catgry>
  <catgry>
    <catValu>80608</catValu>
    <labl>Scandinavian and Russian taiga</labl>
  </catgry>
  <catgry>
    <catValu>80609</catValu>
    <labl>Trans-Baikal conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80610</catValu>
    <labl>Ural montane forests and tundra</labl>
  </catgry>
  <catgry>
    <catValu>80611</catValu>
    <labl>West Siberian taiga</labl>
  </catgry>
  <catgry>
    <catValu>80801</catValu>
    <labl>Alai-Western Tian Shan steppe</labl>
  </catgry>
  <catgry>
    <catValu>80802</catValu>
    <labl>Altai steppe and semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>80803</catValu>
    <labl>Central Anatolian steppe</labl>
  </catgry>
  <catgry>
    <catValu>80804</catValu>
    <labl>Daurian forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80805</catValu>
    <labl>Eastern Anatolian montane steppe</labl>
  </catgry>
  <catgry>
    <catValu>80806</catValu>
    <labl>Emin Valley steppe</labl>
  </catgry>
  <catgry>
    <catValu>80807</catValu>
    <labl>Faroe Islands boreal grasslands</labl>
  </catgry>
  <catgry>
    <catValu>80808</catValu>
    <labl>Gissaro-Alai open woodlands</labl>
  </catgry>
  <catgry>
    <catValu>80809</catValu>
    <labl>Kazakh forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80810</catValu>
    <labl>Kazakh steppe</labl>
  </catgry>
  <catgry>
    <catValu>80811</catValu>
    <labl>Kazakh upland</labl>
  </catgry>
  <catgry>
    <catValu>80812</catValu>
    <labl>Middle East steppe</labl>
  </catgry>
  <catgry>
    <catValu>80813</catValu>
    <labl>Mongolian-Manchurian grassland</labl>
  </catgry>
  <catgry>
    <catValu>80814</catValu>
    <labl>Pontic steppe</labl>
  </catgry>
  <catgry>
    <catValu>80815</catValu>
    <labl>Sayan Intermontane steppe</labl>
  </catgry>
  <catgry>
    <catValu>80816</catValu>
    <labl>Selenge-Orkhon forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80817</catValu>
    <labl>South Siberian forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80818</catValu>
    <labl>Tian Shan foothill arid steppe</labl>
  </catgry>
  <catgry>
    <catValu>80901</catValu>
    <labl>Amur meadow steppe</labl>
  </catgry>
  <catgry>
    <catValu>80902</catValu>
    <labl>Bohai Sea saline meadow</labl>
  </catgry>
  <catgry>
    <catValu>80903</catValu>
    <labl>Nenjiang River grassland</labl>
  </catgry>
  <catgry>
    <catValu>80904</catValu>
    <labl>Nile Delta flooded savanna</labl>
  </catgry>
  <catgry>
    <catValu>80905</catValu>
    <labl>Saharan halophytics</labl>
  </catgry>
  <catgry>
    <catValu>80906</catValu>
    <labl>Tigris-Euphrates alluvial salt marsh</labl>
  </catgry>
  <catgry>
    <catValu>80907</catValu>
    <labl>Suiphun-Khanka meadows and forest meadows</labl>
  </catgry>
  <catgry>
    <catValu>80908</catValu>
    <labl>Yellow Sea saline meadow</labl>
  </catgry>
  <catgry>
    <catValu>81001</catValu>
    <labl>Altai alpine meadow and tundra</labl>
  </catgry>
  <catgry>
    <catValu>81002</catValu>
    <labl>Central Tibetan Plateau alpine steppe</labl>
  </catgry>
  <catgry>
    <catValu>81003</catValu>
    <labl>Eastern Himalayan alpine shrub and meadows</labl>
  </catgry>
  <catgry>
    <catValu>81004</catValu>
    <labl>Ghorat-Hazarajat alpine meadow</labl>
  </catgry>
  <catgry>
    <catValu>81005</catValu>
    <labl>Hindu Kush alpine meadow</labl>
  </catgry>
  <catgry>
    <catValu>81006</catValu>
    <labl>Karakoram-West Tibetan Plateau alpine steppe</labl>
  </catgry>
  <catgry>
    <catValu>81007</catValu>
    <labl>Khangai Mountains alpine meadow</labl>
  </catgry>
  <catgry>
    <catValu>81008</catValu>
    <labl>Kopet Dag woodlands and forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>81009</catValu>
    <labl>Kuh Rud and Eastern Iran montane woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81010</catValu>
    <labl>Mediterranean High Atlas juniper steppe</labl>
  </catgry>
  <catgry>
    <catValu>81011</catValu>
    <labl>North Tibetan Plateau-Kunlun Mountains alpine desert</labl>
  </catgry>
  <catgry>
    <catValu>81012</catValu>
    <labl>Northwestern Himalayan alpine shrub and meadows</labl>
  </catgry>
  <catgry>
    <catValu>81013</catValu>
    <labl>Ordos Plateau steppe</labl>
  </catgry>
  <catgry>
    <catValu>81014</catValu>
    <labl>Pamir alpine desert and tundra</labl>
  </catgry>
  <catgry>
    <catValu>81015</catValu>
    <labl>Qilian Mountains subalpine meadows</labl>
  </catgry>
  <catgry>
    <catValu>81016</catValu>
    <labl>Sayan Alpine meadows and tundra</labl>
  </catgry>
  <catgry>
    <catValu>81017</catValu>
    <labl>Southeast Tibet shrublands and meadows</labl>
  </catgry>
  <catgry>
    <catValu>81018</catValu>
    <labl>Sulaiman Range alpine meadows</labl>
  </catgry>
  <catgry>
    <catValu>81019</catValu>
    <labl>Tian Shan montane steppe and meadows</labl>
  </catgry>
  <catgry>
    <catValu>81020</catValu>
    <labl>Tibetan Plateau alpine shrublands and meadows</labl>
  </catgry>
  <catgry>
    <catValu>81021</catValu>
    <labl>Western Himalayan alpine shrub and Meadows</labl>
  </catgry>
  <catgry>
    <catValu>81022</catValu>
    <labl>Yarlung Tsangpo arid steppe</labl>
  </catgry>
  <catgry>
    <catValu>81101</catValu>
    <labl>Arctic desert</labl>
  </catgry>
  <catgry>
    <catValu>81102</catValu>
    <labl>Bering tundra</labl>
  </catgry>
  <catgry>
    <catValu>81103</catValu>
    <labl>Cherskii-Kolyma mountain tundra</labl>
  </catgry>
  <catgry>
    <catValu>81104</catValu>
    <labl>Chukchi Peninsula tundra</labl>
  </catgry>
  <catgry>
    <catValu>81105</catValu>
    <labl>Kamchatka Mountain tundra and forest tundra</labl>
  </catgry>
  <catgry>
    <catValu>81106</catValu>
    <labl>Kola Peninsula tundra</labl>
  </catgry>
  <catgry>
    <catValu>81107</catValu>
    <labl>Northeast Siberian coastal tundra</labl>
  </catgry>
  <catgry>
    <catValu>81108</catValu>
    <labl>Northwest Russian-Novaya Zemlya tundra</labl>
  </catgry>
  <catgry>
    <catValu>81109</catValu>
    <labl>Novosibirsk Islands arctic desert</labl>
  </catgry>
  <catgry>
    <catValu>81110</catValu>
    <labl>Scandinavian Montane Birch forest and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>81111</catValu>
    <labl>Taimyr-Central Siberian tundra</labl>
  </catgry>
  <catgry>
    <catValu>81112</catValu>
    <labl>Trans-Baikal Bald Mountain tundra</labl>
  </catgry>
  <catgry>
    <catValu>81113</catValu>
    <labl>Wrangel Island arctic desert</labl>
  </catgry>
  <catgry>
    <catValu>81114</catValu>
    <labl>Yamal-Gydan tundra</labl>
  </catgry>
  <catgry>
    <catValu>81201</catValu>
    <labl>Aegean and Western Turkey sclerophyllous and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81202</catValu>
    <labl>Anatolian conifer and deciduous mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81203</catValu>
    <labl>Canary Islands dry woodlands and forests</labl>
  </catgry>
  <catgry>
    <catValu>81204</catValu>
    <labl>Corsican montane broadleaf and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81205</catValu>
    <labl>Crete Mediterranean forests</labl>
  </catgry>
  <catgry>
    <catValu>81206</catValu>
    <labl>Cyprus Mediterranean forests</labl>
  </catgry>
  <catgry>
    <catValu>81207</catValu>
    <labl>Eastern Mediterranean conifer-sclerophyllous-broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>81208</catValu>
    <labl>Iberian conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>81209</catValu>
    <labl>Iberian sclerophyllous and semi-deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>81210</catValu>
    <labl>Illyrian deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>81211</catValu>
    <labl>Italian sclerophyllous and semi-deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>81212</catValu>
    <labl>Mediterranean acacia-argania dry woodlands and succulent thickets</labl>
  </catgry>
  <catgry>
    <catValu>81213</catValu>
    <labl>Mediterranean dry woodlands and steppe</labl>
  </catgry>
  <catgry>
    <catValu>81214</catValu>
    <labl>Mediterranean woodlands and forests</labl>
  </catgry>
  <catgry>
    <catValu>81215</catValu>
    <labl>Northeastern Spain and Southern France Mediterranean forests</labl>
  </catgry>
  <catgry>
    <catValu>81216</catValu>
    <labl>Northwest Iberian montane forests</labl>
  </catgry>
  <catgry>
    <catValu>81217</catValu>
    <labl>Pindus Mountains mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81218</catValu>
    <labl>South Appenine mixed montane forests</labl>
  </catgry>
  <catgry>
    <catValu>81219</catValu>
    <labl>Southeastern Iberian shrubs and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81220</catValu>
    <labl>Southern Anatolian montane conifer and deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>81221</catValu>
    <labl>Southwest Iberian Mediterranean sclerophyllous and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81222</catValu>
    <labl>Tyrrhenian-Adriatic Sclerophyllous and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81301</catValu>
    <labl>Afghan Mountains semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81302</catValu>
    <labl>Alashan Plateau semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81303</catValu>
    <labl>Arabian Desert and East Sahero-Arabian xeric shrublands</labl>
  </catgry>
  <catgry>
    <catValu>81304</catValu>
    <labl>Atlantic coastal desert</labl>
  </catgry>
  <catgry>
    <catValu>81305</catValu>
    <labl>Azerbaijan shrub desert and steppe</labl>
  </catgry>
  <catgry>
    <catValu>81306</catValu>
    <labl>Badghyz and Karabil semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81307</catValu>
    <labl>Baluchistan xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81308</catValu>
    <labl>Caspian lowland desert</labl>
  </catgry>
  <catgry>
    <catValu>81309</catValu>
    <labl>Central Afghan Mountains xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81310</catValu>
    <labl>Central Asian northern desert</labl>
  </catgry>
  <catgry>
    <catValu>81311</catValu>
    <labl>Central Asian riparian woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81312</catValu>
    <labl>Central Asian southern desert</labl>
  </catgry>
  <catgry>
    <catValu>81313</catValu>
    <labl>Central Persian desert basins</labl>
  </catgry>
  <catgry>
    <catValu>81314</catValu>
    <labl>Eastern Gobi desert steppe</labl>
  </catgry>
  <catgry>
    <catValu>81315</catValu>
    <labl>Gobi Lakes Valley desert steppe</labl>
  </catgry>
  <catgry>
    <catValu>81316</catValu>
    <labl>Great Lakes Basin desert steppe</labl>
  </catgry>
  <catgry>
    <catValu>81317</catValu>
    <labl>Junggar Basin semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81318</catValu>
    <labl>Kazakh semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81319</catValu>
    <labl>Kopet Dag semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81320</catValu>
    <labl>Mesopotamian shrub desert</labl>
  </catgry>
  <catgry>
    <catValu>81321</catValu>
    <labl>North Saharan steppe and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81322</catValu>
    <labl>Paropamisus xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81323</catValu>
    <labl>Persian Gulf desert and semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81324</catValu>
    <labl>Qaidam Basin semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81325</catValu>
    <labl>Red Sea Nubo-Sindian tropical desert and semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81326</catValu>
    <labl>Registan-North Pakistan sandy desert</labl>
  </catgry>
  <catgry>
    <catValu>81327</catValu>
    <labl>Sahara desert</labl>
  </catgry>
  <catgry>
    <catValu>81328</catValu>
    <labl>South Iran Nubo-Sindian desert and semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81329</catValu>
    <labl>South Saharan steppe and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81330</catValu>
    <labl>Taklimakan desert</labl>
  </catgry>
  <catgry>
    <catValu>81331</catValu>
    <labl>Tibesti-Jebel Uweinat montane xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81332</catValu>
    <labl>West Saharan montane xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81333</catValu>
    <labl>Red Sea coastal desert</labl>
  </catgry>
  <txt>ECOREGION reports the predominant terrestrial ecoregion within a 5-kilometer circular buffer around each DHS cluster location. ECOREGION reports the biogeographic region (e.g., Afrotropic), the habitat type (e.g., tropical and subtropical grasslands, savannas, and shrublands), and the ecoregion (e.g., East Sudanian savanna) that are associated with each cluster location. ECOREGION is available for every IPUMS-DHS sample with GPS data.

There are 825 terrestrial ecoregions in the world. Ecoregions are relatively large units of land containing distinct assemblages of natural communities and species, with boundaries that approximate the original extent of natural communities prior to major land-use change. The 5-digit codes in ECOREGION (e.g., 30129) include a 1-digit realm code (with 8 possible values), followed by a 2-digit biome code (with 14 possible values), and then a 2-digit ecoregion number. For the full list of codes and their meaning, see the ecoregion legend  [URL omitted from DDI.].

ECOREGION, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_LIVELIHOOD" name="B_LIVELIHOOD" files="B" intrvl="discrete">
  <labl>Livelihood zone of household</labl>
  <imputation>Livelihood zone of household</imputation>
  <security>Livelihood zone of household</security>
  <embargo>Livelihood zone of household</embargo>
  <respUnit>Livelihood zone of household</respUnit>
  <catgry>
    <catValu>-00998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>004001</catValu>
    <labl>Eastern Pastoral and Forest Zone</labl>
  </catgry>
  <catgry>
    <catValu>004002</catValu>
    <labl>Eastern Agro-Pastoral and Forest Zone</labl>
  </catgry>
  <catgry>
    <catValu>004003</catValu>
    <labl>Eastern Agro-Pastoral and Rangeland Zone</labl>
  </catgry>
  <catgry>
    <catValu>004004</catValu>
    <labl>Eastern Semi-Arid Agricultural Zone</labl>
  </catgry>
  <catgry>
    <catValu>004005</catValu>
    <labl>Eastern Agricultural and Labor-Based Zone</labl>
  </catgry>
  <catgry>
    <catValu>004006</catValu>
    <labl>Eastern Intensively Irrigated Zone</labl>
  </catgry>
  <catgry>
    <catValu>004007</catValu>
    <labl>Eastern Cross-Border Trade and Labor-Based Zone</labl>
  </catgry>
  <catgry>
    <catValu>004008</catValu>
    <labl>Eastern Irrigated and Rainfed Agricultural Zone</labl>
  </catgry>
  <catgry>
    <catValu>004009</catValu>
    <labl>East-Central Irrigated Zone</labl>
  </catgry>
  <catgry>
    <catValu>004010</catValu>
    <labl>Southern Intensively Irrigated Cash Crop Zone</labl>
  </catgry>
  <catgry>
    <catValu>004011</catValu>
    <labl>Southern Semi-Arid Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004012</catValu>
    <labl>South-Central Agro-Pastoral and Labor-Based Zone</labl>
  </catgry>
  <catgry>
    <catValu>004013</catValu>
    <labl>Southern Desert Zone</labl>
  </catgry>
  <catgry>
    <catValu>004014</catValu>
    <labl>South-Central Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004015</catValu>
    <labl>North-Western Agro-Pastoral and Pistachio Zone</labl>
  </catgry>
  <catgry>
    <catValu>004016</catValu>
    <labl>Western Intensively Irrigated Zone</labl>
  </catgry>
  <catgry>
    <catValu>004017</catValu>
    <labl>Western Semi-Arid Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004018</catValu>
    <labl>West-Central Highland Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004019</catValu>
    <labl>Western and Southern Cross-Border Trade and Labor Zone</labl>
  </catgry>
  <catgry>
    <catValu>004020</catValu>
    <labl>North-Eastern Highland Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004021</catValu>
    <labl>Salangi Plains Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>004022</catValu>
    <labl>Northern Lowland Cereals and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>004023</catValu>
    <labl>Northern High Cereals Production Zone</labl>
  </catgry>
  <catgry>
    <catValu>004024</catValu>
    <labl>North-Central Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004025</catValu>
    <labl>Northern Irrigated and Rainfed Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>004026</catValu>
    <labl>Northern Intensively Irrigated Agricultural Zone</labl>
  </catgry>
  <catgry>
    <catValu>004027</catValu>
    <labl>Amo River Irrigation and Cross-Border Trade Zone</labl>
  </catgry>
  <catgry>
    <catValu>004028</catValu>
    <labl>East-Central Agro-Forestry Zone</labl>
  </catgry>
  <catgry>
    <catValu>004029</catValu>
    <labl>Central Cash-Crop and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>024001</catValu>
    <labl>Coastal fishing, horticulture, and non-farm income</labl>
  </catgry>
  <catgry>
    <catValu>024002</catValu>
    <labl>Transitional banana and pineapple farming</labl>
  </catgry>
  <catgry>
    <catValu>024003</catValu>
    <labl>Southern livestock, millet, and sorghum</labl>
  </catgry>
  <catgry>
    <catValu>024004</catValu>
    <labl>Sub humid livestock and maize</labl>
  </catgry>
  <catgry>
    <catValu>024005</catValu>
    <labl>Mid-eastern cassava and savannah forest</labl>
  </catgry>
  <catgry>
    <catValu>024006</catValu>
    <labl>Central highlands potato and vegetables</labl>
  </catgry>
  <catgry>
    <catValu>024007</catValu>
    <labl>Central highlands maize and beans</labl>
  </catgry>
  <catgry>
    <catValu>024008</catValu>
    <labl>Transitional lowland maize, cassava, and beans</labl>
  </catgry>
  <catgry>
    <catValu>024009</catValu>
    <labl>Tropical forest, cassava, banana, and coffee</labl>
  </catgry>
  <catgry>
    <catValu>024010</catValu>
    <labl>Savannah forest and market-oriented cassava</labl>
  </catgry>
  <catgry>
    <catValu>024011</catValu>
    <labl>Savannah forest and subsistence cassava</labl>
  </catgry>
  <catgry>
    <catValu>024012</catValu>
    <labl>Fishing, cassava, and cross-border trade</labl>
  </catgry>
  <catgry>
    <catValu>024013</catValu>
    <labl>Coastal livestock ranching</labl>
  </catgry>
  <catgry>
    <catValu>108001</catValu>
    <labl>Buragane</labl>
  </catgry>
  <catgry>
    <catValu>108002</catValu>
    <labl>Congo Ridge Millet</labl>
  </catgry>
  <catgry>
    <catValu>108003</catValu>
    <labl>Eastern Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>108004</catValu>
    <labl>Northern Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>108005</catValu>
    <labl>Northern Highlands</labl>
  </catgry>
  <catgry>
    <catValu>108006</catValu>
    <labl>Southern Highlands</labl>
  </catgry>
  <catgry>
    <catValu>108007</catValu>
    <labl>Imbo Plain</labl>
  </catgry>
  <catgry>
    <catValu>108008</catValu>
    <labl>Humid Plateaus</labl>
  </catgry>
  <catgry>
    <catValu>108009</catValu>
    <labl>Eastern Arid Plateaus</labl>
  </catgry>
  <catgry>
    <catValu>140001</catValu>
    <labl>Southeast cassava, peanuts, and maize</labl>
  </catgry>
  <catgry>
    <catValu>140002</catValu>
    <labl>Northeast hunting and food crops</labl>
  </catgry>
  <catgry>
    <catValu>140003</catValu>
    <labl>Northern sorghum and millet</labl>
  </catgry>
  <catgry>
    <catValu>140004</catValu>
    <labl>East central mining, cassava, and peanuts</labl>
  </catgry>
  <catgry>
    <catValu>140005</catValu>
    <labl>Southern coffee, cassava, and maize</labl>
  </catgry>
  <catgry>
    <catValu>140006</catValu>
    <labl>Central cassava, peanuts, and maize</labl>
  </catgry>
  <catgry>
    <catValu>140007</catValu>
    <labl>Central cotton, cassava, and maize</labl>
  </catgry>
  <catgry>
    <catValu>140008</catValu>
    <labl>Northern cotton, cassava, and sorghum</labl>
  </catgry>
  <catgry>
    <catValu>140009</catValu>
    <labl>Western cassava, maize, and peanuts</labl>
  </catgry>
  <catgry>
    <catValu>140010</catValu>
    <labl>Southern maize, citrus fruits, and vegetables</labl>
  </catgry>
  <catgry>
    <catValu>140011</catValu>
    <labl>Southwest cassava, coffee, gathering, and mining</labl>
  </catgry>
  <catgry>
    <catValu>148001</catValu>
    <labl>Southern Staple and Cash Crops</labl>
  </catgry>
  <catgry>
    <catValu>148002</catValu>
    <labl>Southwest Rice</labl>
  </catgry>
  <catgry>
    <catValu>148003</catValu>
    <labl>South-central Cereals</labl>
  </catgry>
  <catgry>
    <catValu>148004</catValu>
    <labl>Southeast Flood Retreat and Gum Arabic</labl>
  </catgry>
  <catgry>
    <catValu>148005</catValu>
    <labl>Central Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>148006</catValu>
    <labl>Eastern Rainfed Cereals and Market Gardening</labl>
  </catgry>
  <catgry>
    <catValu>148007</catValu>
    <labl>Transhumance</labl>
  </catgry>
  <catgry>
    <catValu>148008</catValu>
    <labl>Western Agropastoral and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>148009</catValu>
    <labl>Northern Oasis Cultivation with Camels and Natron</labl>
  </catgry>
  <catgry>
    <catValu>180001</catValu>
    <labl>Copperbelt and Marginal Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180002</catValu>
    <labl>Savannah Manioc</labl>
  </catgry>
  <catgry>
    <catValu>180003</catValu>
    <labl>Savannah Surplus Maize</labl>
  </catgry>
  <catgry>
    <catValu>180004</catValu>
    <labl>Kamalondo Depression</labl>
  </catgry>
  <catgry>
    <catValu>180005</catValu>
    <labl>Southern Tanganyika-Mwero Fishing</labl>
  </catgry>
  <catgry>
    <catValu>180006</catValu>
    <labl>Maniema Savannah Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180007</catValu>
    <labl>High Food Production and Surplus Trade</labl>
  </catgry>
  <catgry>
    <catValu>180008</catValu>
    <labl>Northern Tanganyika Midland Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180009</catValu>
    <labl>Agropastoral Mountains</labl>
  </catgry>
  <catgry>
    <catValu>180010</catValu>
    <labl>Midland Agricultural Savannah</labl>
  </catgry>
  <catgry>
    <catValu>180011</catValu>
    <labl>Rutshuru Volcanic Soils and Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180012</catValu>
    <labl>Forest Cultivation and Products</labl>
  </catgry>
  <catgry>
    <catValu>180013</catValu>
    <labl>Artisanal Mining with Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180014</catValu>
    <labl>Northeast Highlands Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180015</catValu>
    <labl>Orientale Fishing with Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180016</catValu>
    <labl>Northern Plateau Cassava, Maize, Groundnuts and Beans</labl>
  </catgry>
  <catgry>
    <catValu>180017</catValu>
    <labl>Bumba Rice and Tubers</labl>
  </catgry>
  <catgry>
    <catValu>180018</catValu>
    <labl>Bomongo and Makanza Districts Intensive Fishing</labl>
  </catgry>
  <catgry>
    <catValu>180019</catValu>
    <labl>Fishing and Staples Riverine</labl>
  </catgry>
  <catgry>
    <catValu>180020</catValu>
    <labl>Cuvette Centrale Staple Crops, Fishing and Charcoal</labl>
  </catgry>
  <catgry>
    <catValu>180021</catValu>
    <labl>Equatorial Forest, Hunting, Fishing and Staple Crops</labl>
  </catgry>
  <catgry>
    <catValu>180022</catValu>
    <labl>Lighter Forest with Rice and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>180023</catValu>
    <labl>Savannah with Cassava and Cowpeas and Small Livestock</labl>
  </catgry>
  <catgry>
    <catValu>180024</catValu>
    <labl>High Food Crop Production and Trading</labl>
  </catgry>
  <catgry>
    <catValu>180025</catValu>
    <labl>Intensive Artisanal Diamond Exploitation with Crop Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>180026</catValu>
    <labl>Clay Soils with High Production of Cassava and Maize, and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>180027</catValu>
    <labl>Agropastoral â€“ Staple Crops, Small Stock and Cattle and Wild Foods</labl>
  </catgry>
  <catgry>
    <catValu>180028</catValu>
    <labl>Agriculture with High Production and Marketing</labl>
  </catgry>
  <catgry>
    <catValu>180029</catValu>
    <labl>Cassava, Maize and Groundnuts</labl>
  </catgry>
  <catgry>
    <catValu>180030</catValu>
    <labl>Market Gardening and Staple Crops</labl>
  </catgry>
  <catgry>
    <catValu>180031</catValu>
    <labl>River Fishing and Staple Crops</labl>
  </catgry>
  <catgry>
    <catValu>180032</catValu>
    <labl>Coastal Ocean Fishing and Kitchen Gardening</labl>
  </catgry>
  <catgry>
    <catValu>180033</catValu>
    <labl>Forest â€“ Staple Crops, Cash Crops and Market Gardening</labl>
  </catgry>
  <catgry>
    <catValu>180034</catValu>
    <labl>Kinshasa Peri-urban</labl>
  </catgry>
  <catgry>
    <catValu>222001</catValu>
    <labl>Basic Grain and Labor Zone</labl>
  </catgry>
  <catgry>
    <catValu>222002</catValu>
    <labl>Coffee, Agro-Industrial and Labor Zone</labl>
  </catgry>
  <catgry>
    <catValu>222003</catValu>
    <labl>Sugarcane, Agro-Industry and Labor Zone</labl>
  </catgry>
  <catgry>
    <catValu>222004</catValu>
    <labl>Eastern Basic Grain, Labor, Livestock and Remittance Zone</labl>
  </catgry>
  <catgry>
    <catValu>222005</catValu>
    <labl>Central Free-Trade, Services and Industrial Labor Zone</labl>
  </catgry>
  <catgry>
    <catValu>222006</catValu>
    <labl>Fishing, Aquaculture and Tourism Zone</labl>
  </catgry>
  <catgry>
    <catValu>231001</catValu>
    <labl>Addis Ababa City</labl>
  </catgry>
  <catgry>
    <catValu>231002</catValu>
    <labl>Asale Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231003</catValu>
    <labl>Awsa-Gewane Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231004</catValu>
    <labl>Aramiss - Adaar Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231005</catValu>
    <labl>Asale Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231006</catValu>
    <labl>Chenno Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231007</catValu>
    <labl>Eli daar Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231008</catValu>
    <labl>Namalefan &amp; Baadu Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231009</catValu>
    <labl>Teru Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231010</catValu>
    <labl>Abay Beshilo River Basin</labl>
  </catgry>
  <catgry>
    <catValu>231011</catValu>
    <labl>Abay Tekeze Watershed</labl>
  </catgry>
  <catgry>
    <catValu>231012</catValu>
    <labl>Central Highland Barley &amp; Potato</labl>
  </catgry>
  <catgry>
    <catValu>231013</catValu>
    <labl>Cheffa valley</labl>
  </catgry>
  <catgry>
    <catValu>231014</catValu>
    <labl>Guna Highland</labl>
  </catgry>
  <catgry>
    <catValu>231015</catValu>
    <labl>Merhabete Lowland Sorghum and teff</labl>
  </catgry>
  <catgry>
    <catValu>231016</catValu>
    <labl>Minjar teff and livestock</labl>
  </catgry>
  <catgry>
    <catValu>231017</catValu>
    <labl>Minjar teff and sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231018</catValu>
    <labl>North Wollo Highland Belg</labl>
  </catgry>
  <catgry>
    <catValu>231019</catValu>
    <labl>North East Woyna Dega Mixed Cereal</labl>
  </catgry>
  <catgry>
    <catValu>231020</catValu>
    <labl>North Shewa highland sheep and barley</labl>
  </catgry>
  <catgry>
    <catValu>231021</catValu>
    <labl>North Shewa Highland Wheat and Teff productive</labl>
  </catgry>
  <catgry>
    <catValu>231022</catValu>
    <labl>N Highland wheat, Barley &amp; Sheep</labl>
  </catgry>
  <catgry>
    <catValu>231023</catValu>
    <labl>NorthWest Cash Crop</labl>
  </catgry>
  <catgry>
    <catValu>231024</catValu>
    <labl>North Wollo East Plain</labl>
  </catgry>
  <catgry>
    <catValu>231025</catValu>
    <labl>NorthWest Sorghum Belt</labl>
  </catgry>
  <catgry>
    <catValu>231026</catValu>
    <labl>South Wollo Meher</labl>
  </catgry>
  <catgry>
    <catValu>231027</catValu>
    <labl>South Wollo Belg</labl>
  </catgry>
  <catgry>
    <catValu>231028</catValu>
    <labl>South West Maize, Finger Millet and Teff productive</labl>
  </catgry>
  <catgry>
    <catValu>231029</catValu>
    <labl>South Wollo &amp; Oromia Eastern lowland sorghum &amp; cattle</labl>
  </catgry>
  <catgry>
    <catValu>231030</catValu>
    <labl>South East Woyna Dega Teff</labl>
  </catgry>
  <catgry>
    <catValu>231031</catValu>
    <labl>South West Woyna Dega wheat</labl>
  </catgry>
  <catgry>
    <catValu>231032</catValu>
    <labl>Tekeze Lowland Sorghum and Goats</labl>
  </catgry>
  <catgry>
    <catValu>231033</catValu>
    <labl>Tana Zuria</labl>
  </catgry>
  <catgry>
    <catValu>231034</catValu>
    <labl>South Wollo Meher and Belg</labl>
  </catgry>
  <catgry>
    <catValu>231035</catValu>
    <labl>Central Kolla Sorghum, Maize &amp; Millet</labl>
  </catgry>
  <catgry>
    <catValu>231036</catValu>
    <labl>Midland Teff &amp; Coffee</labl>
  </catgry>
  <catgry>
    <catValu>231037</catValu>
    <labl>Western Dry Kolla Sorghum, Maize &amp; Mining</labl>
  </catgry>
  <catgry>
    <catValu>231038</catValu>
    <labl>Meketel Highland Cereal &amp; Pulses</labl>
  </catgry>
  <catgry>
    <catValu>231039</catValu>
    <labl>Gambella Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231040</catValu>
    <labl>Gambella Coffee, Honey &amp; Cereal LZ</labl>
  </catgry>
  <catgry>
    <catValu>231041</catValu>
    <labl>Gambella Mixed Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>231042</catValu>
    <labl>No Data</labl>
  </catgry>
  <catgry>
    <catValu>231043</catValu>
    <labl>Arsi Bale Wheat, Barley &amp; Potato</labl>
  </catgry>
  <catgry>
    <catValu>231044</catValu>
    <labl>Anfilo Coffee Monoculture &amp; Honey</labl>
  </catgry>
  <catgry>
    <catValu>231045</catValu>
    <labl>Abe Dongoro-Diga-Sasiga Coffee &amp; Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231046</catValu>
    <labl>Adaba Dodola Community Forest</labl>
  </catgry>
  <catgry>
    <catValu>231047</catValu>
    <labl>Agarfa, Gasera, Ginir &amp; Gololcha Fruit, Coffee &amp; Chat</labl>
  </catgry>
  <catgry>
    <catValu>231048</catValu>
    <labl>Ambo Selale Ginderberet Teff &amp; Wheat</labl>
  </catgry>
  <catgry>
    <catValu>231049</catValu>
    <labl>Abijata Shala Jido Agro-Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231050</catValu>
    <labl>Abay Gorge Sesame, Maize &amp; Honey</labl>
  </catgry>
  <catgry>
    <catValu>231051</catValu>
    <labl>Ameya-Wolisso-Ambo Teff &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231052</catValu>
    <labl>Becho-Adea Teff &amp; Chickpea</labl>
  </catgry>
  <catgry>
    <catValu>231053</catValu>
    <labl>Borena-Guji Maize, Wheat &amp; Livestock</labl>
  </catgry>
  <catgry>
    <catValu>231054</catValu>
    <labl>Borena-Guji Coffee &amp; Enset</labl>
  </catgry>
  <catgry>
    <catValu>231055</catValu>
    <labl>Borena-Guji Cattle Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>231056</catValu>
    <labl>Bale Agro-Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231057</catValu>
    <labl>Bale Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>231058</catValu>
    <labl>Chercher &amp; Gololcha Chole Coffee, Maize &amp; Chat</labl>
  </catgry>
  <catgry>
    <catValu>231059</catValu>
    <labl>Central Horo Teff, Nug &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231060</catValu>
    <labl>Chebo-Inchini Enset, Barley &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231061</catValu>
    <labl>Chat &amp; Vegetables</labl>
  </catgry>
  <catgry>
    <catValu>231062</catValu>
    <labl>Dallo, Barbare &amp; Arana-Buluk Coffee</labl>
  </catgry>
  <catgry>
    <catValu>231063</catValu>
    <labl>Dale-Lalo Sorghum &amp; Maize</labl>
  </catgry>
  <catgry>
    <catValu>231064</catValu>
    <labl>Didessa-Gibe-Wama Valley Sorghum, Maize &amp; Oilcrops</labl>
  </catgry>
  <catgry>
    <catValu>231065</catValu>
    <labl>Ebantu-Limu Teff &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231066</catValu>
    <labl>Guduru-Amuru Maize, Teff &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231067</catValu>
    <labl>Guji-Borena Enset, Barley &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231068</catValu>
    <labl>Gerbo Enset &amp; Chat</labl>
  </catgry>
  <catgry>
    <catValu>231069</catValu>
    <labl>Gursum-Babile Groundnuts &amp; Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231070</catValu>
    <labl>Gera-Setema-Sale Forest Teff, Honey &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231071</catValu>
    <labl>Gibe Maize &amp; Peppers</labl>
  </catgry>
  <catgry>
    <catValu>231072</catValu>
    <labl>Goro-Ginir Spice &amp; Wheat</labl>
  </catgry>
  <catgry>
    <catValu>231073</catValu>
    <labl>Anger Maize, Sorghum &amp; Finger Millet</labl>
  </catgry>
  <catgry>
    <catValu>231074</catValu>
    <labl>Illu-Wellega-Birbir Maize, Peppers &amp; Sesame</labl>
  </catgry>
  <catgry>
    <catValu>231075</catValu>
    <labl>Jimma-Illubabur Coffee, Cereals &amp; Chat</labl>
  </catgry>
  <catgry>
    <catValu>231076</catValu>
    <labl>Jaldu-Dendi-Ilfata Barley &amp; Potato</labl>
  </catgry>
  <catgry>
    <catValu>231077</catValu>
    <labl>Jimma-Yama Logi Teff &amp; Maize</labl>
  </catgry>
  <catgry>
    <catValu>231078</catValu>
    <labl>Kofele Kokosa Enset &amp; Cattle Belt</labl>
  </catgry>
  <catgry>
    <catValu>231079</catValu>
    <labl>Muger-Abay-Jema Sorghum &amp; Teff Belt</labl>
  </catgry>
  <catgry>
    <catValu>231080</catValu>
    <labl>Melka Awash-Ochocha Mid-Highland Wheat &amp; Teff</labl>
  </catgry>
  <catgry>
    <catValu>231081</catValu>
    <labl>Moyale Agro-Pastoral, Labour &amp; Cross-Border Trade</labl>
  </catgry>
  <catgry>
    <catValu>231082</catValu>
    <labl>Moyale Cattle, Shoats &amp; Camel Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>231083</catValu>
    <labl>Market-Isolated Cattle &amp; Shoat Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>231084</catValu>
    <labl>Kereyu Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231085</catValu>
    <labl>Mendi-Dabisu Maize, Sesame &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231086</catValu>
    <labl>North-East Agro-Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231087</catValu>
    <labl>Nadda-Gilgel Gibe Maize, Teff and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231088</catValu>
    <labl>Nole-Meko-Diga Teff &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231089</catValu>
    <labl>Nejo-Dilla Teff, Finger Millet &amp; Nug</labl>
  </catgry>
  <catgry>
    <catValu>231090</catValu>
    <labl>Southern Agro-Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231091</catValu>
    <labl>Keto-Begi Cereals &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231092</catValu>
    <labl>Robe Chole Sude &amp; Seru Teff Maize Haricot Bean Belt</labl>
  </catgry>
  <catgry>
    <catValu>231093</catValu>
    <labl>Rift Valley Maize &amp; Horse Bean</labl>
  </catgry>
  <catgry>
    <catValu>231094</catValu>
    <labl>Selale-Ambo Highland Barley, Wheat and Horsebean belt</labl>
  </catgry>
  <catgry>
    <catValu>231095</catValu>
    <labl>Soddo Highland Wheat, Barley &amp; Enset</labl>
  </catgry>
  <catgry>
    <catValu>231096</catValu>
    <labl>Siraro Kofele Potato &amp; Vegetables</labl>
  </catgry>
  <catgry>
    <catValu>231097</catValu>
    <labl>Sorghum, Maize &amp; Chat</labl>
  </catgry>
  <catgry>
    <catValu>231098</catValu>
    <labl>Shirka Ticho Spice &amp; Teff</labl>
  </catgry>
  <catgry>
    <catValu>231099</catValu>
    <labl>Wheat, Barley &amp; Potato</labl>
  </catgry>
  <catgry>
    <catValu>231100</catValu>
    <labl>Wellega-Dedo Highland Wheat &amp; Barley</labl>
  </catgry>
  <catgry>
    <catValu>231101</catValu>
    <labl>Wuchale-Abichu-Kembebit Livestock, 'Wild Oats' &amp; Barley/Wheat</labl>
  </catgry>
  <catgry>
    <catValu>231102</catValu>
    <labl>Wellega Coffee, Maize &amp; Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231103</catValu>
    <labl>Amaro Coffee and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231104</catValu>
    <labl>Awassa Chat and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231105</catValu>
    <labl>Alaba-Mareko Lowland Pepper LZ</labl>
  </catgry>
  <catgry>
    <catValu>231106</catValu>
    <labl>Badewacho-Alaba Maize LZ</labl>
  </catgry>
  <catgry>
    <catValu>231107</catValu>
    <labl>Bilate Basin Agro-Pastoral LZ</labl>
  </catgry>
  <catgry>
    <catValu>231108</catValu>
    <labl>Bench-Keffa Cereal and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231109</catValu>
    <labl>Basketo-Melo Coffee and Root Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231110</catValu>
    <labl>Dawro-Konta Maize and Root Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231111</catValu>
    <labl>Western Coffee and Spices LZ - Eastern sub-zone</labl>
  </catgry>
  <catgry>
    <catValu>231112</catValu>
    <labl>Gedeo Coffee LZ</labl>
  </catgry>
  <catgry>
    <catValu>231113</catValu>
    <labl>Gurage-Siltie Highland Enset and Barley LZ</labl>
  </catgry>
  <catgry>
    <catValu>231114</catValu>
    <labl>Gurage-Siltie Midland Enset and Chat LZ</labl>
  </catgry>
  <catgry>
    <catValu>231115</catValu>
    <labl>Gurage-Siltie Enset and Teff LZ</labl>
  </catgry>
  <catgry>
    <catValu>231116</catValu>
    <labl>Gamo Gofa Enset and Barley LZ</labl>
  </catgry>
  <catgry>
    <catValu>231117</catValu>
    <labl>Gurage Lowland Maize and Teff LZ</labl>
  </catgry>
  <catgry>
    <catValu>231118</catValu>
    <labl>Gamo Gofa Maize and Root Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231119</catValu>
    <labl>Hadero Ginger LZ</labl>
  </catgry>
  <catgry>
    <catValu>231120</catValu>
    <labl>Hadiya Maize LZ</labl>
  </catgry>
  <catgry>
    <catValu>231121</catValu>
    <labl>Hadiya-Kembata Cereal and Enset LZ - Hadiya sub zone</labl>
  </catgry>
  <catgry>
    <catValu>231122</catValu>
    <labl>Chamo-Abaya Irrigated Banana LZ</labl>
  </catgry>
  <catgry>
    <catValu>231123</catValu>
    <labl>Kedida-Badewacho Coffee LZ</labl>
  </catgry>
  <catgry>
    <catValu>231124</catValu>
    <labl>Hadiya-Kembata Cereal and Enset LZ - Kembata sub-zone</labl>
  </catgry>
  <catgry>
    <catValu>231125</catValu>
    <labl>Kaffa Cereal and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231126</catValu>
    <labl>Southern Special Woredas Lowland Cereal LZ</labl>
  </catgry>
  <catgry>
    <catValu>231127</catValu>
    <labl>Omo River Flood Recession LZ</labl>
  </catgry>
  <catgry>
    <catValu>231128</catValu>
    <labl>Omo Valley Maize and Sorghum LZ</labl>
  </catgry>
  <catgry>
    <catValu>231129</catValu>
  </catgry>
  <catgry>
    <catValu>231130</catValu>
    <labl>Southern Cereal, Enset and Root Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231131</catValu>
    <labl>Sidama Coffee LZ</labl>
  </catgry>
  <catgry>
    <catValu>231132</catValu>
    <labl>Surma Agro-Pastoral LZ</labl>
  </catgry>
  <catgry>
    <catValu>231133</catValu>
    <labl>Sidama-Gedeo Highland Enset and Barley LZ</labl>
  </catgry>
  <catgry>
    <catValu>231134</catValu>
    <labl>Sidama Maize Belt LZ</labl>
  </catgry>
  <catgry>
    <catValu>231135</catValu>
    <labl>Southern Agro-Pastoral Livelihood Zone</labl>
  </catgry>
  <catgry>
    <catValu>231136</catValu>
    <labl>South Omo Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231137</catValu>
    <labl>South Omo Pastoral LZ</labl>
  </catgry>
  <catgry>
    <catValu>231138</catValu>
    <labl>Salamago Pastoral LZ</labl>
  </catgry>
  <catgry>
    <catValu>231139</catValu>
    <labl>Sheka Cereal and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231140</catValu>
    <labl>Wolayita Ginger and Coffee LZ</labl>
  </catgry>
  <catgry>
    <catValu>231141</catValu>
    <labl>Western Coffee and Spices LZ - Western sub-zone</labl>
  </catgry>
  <catgry>
    <catValu>231142</catValu>
    <labl>Western Forest Products LZ</labl>
  </catgry>
  <catgry>
    <catValu>231143</catValu>
    <labl>Wolayita Maize and Root Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231144</catValu>
    <labl>Wolayita Barley and Wheat LZ</labl>
  </catgry>
  <catgry>
    <catValu>231145</catValu>
    <labl>Yem Cereal and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231146</catValu>
    <labl>Afder Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231147</catValu>
    <labl>Degahbur Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231148</catValu>
    <labl>Dawa-Ganale Riverine</labl>
  </catgry>
  <catgry>
    <catValu>231149</catValu>
    <labl>Filtu-Dolo Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231150</catValu>
    <labl>Fik Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231151</catValu>
    <labl>Gode Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231152</catValu>
    <labl>Harshin-Degahbur East Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231153</catValu>
    <labl>Jijiga Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231154</catValu>
    <labl>Jijiga Sedentary Farming</labl>
  </catgry>
  <catgry>
    <catValu>231155</catValu>
    <labl>Korahe Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231156</catValu>
    <labl>Korahe-Gode Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231157</catValu>
    <labl>Liban Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231158</catValu>
    <labl>Lowland-Hawd Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231159</catValu>
    <labl>Moyale-Wayamo Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231160</catValu>
    <labl>No Data</labl>
  </catgry>
  <catgry>
    <catValu>231161</catValu>
    <labl>Shinile Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231162</catValu>
    <labl>Shinile Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231163</catValu>
    <labl>Shabelle Riverine</labl>
  </catgry>
  <catgry>
    <catValu>231164</catValu>
    <labl>Adiyabo Lowland</labl>
  </catgry>
  <catgry>
    <catValu>231165</catValu>
    <labl>Alaje Ofla Highland</labl>
  </catgry>
  <catgry>
    <catValu>231166</catValu>
    <labl>Atsbi Womberta Highland</labl>
  </catgry>
  <catgry>
    <catValu>231167</catValu>
    <labl>Central Mixed Crop</labl>
  </catgry>
  <catgry>
    <catValu>231168</catValu>
    <labl>Enderta Dry Midland</labl>
  </catgry>
  <catgry>
    <catValu>231169</catValu>
    <labl>Eastern Planteau</labl>
  </catgry>
  <catgry>
    <catValu>231170</catValu>
    <labl>Gesho and Wheat Highland</labl>
  </catgry>
  <catgry>
    <catValu>231171</catValu>
    <labl>Humera Sesame and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231172</catValu>
    <labl>Irob Mountains</labl>
  </catgry>
  <catgry>
    <catValu>231173</catValu>
    <labl>Mereb Basin</labl>
  </catgry>
  <catgry>
    <catValu>231174</catValu>
    <labl>Middle Tekeze</labl>
  </catgry>
  <catgry>
    <catValu>231175</catValu>
    <labl>Raya Valley</labl>
  </catgry>
  <catgry>
    <catValu>231176</catValu>
    <labl>Tsirare Catchment</labl>
  </catgry>
  <catgry>
    <catValu>231177</catValu>
    <labl>West Central Teff</labl>
  </catgry>
  <catgry>
    <catValu>231178</catValu>
    <labl>Werie Catchment</labl>
  </catgry>
  <catgry>
    <catValu>231179</catValu>
    <labl>Western Cereal and Sesame</labl>
  </catgry>
  <catgry>
    <catValu>262001</catValu>
    <labl>Northwest Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>262002</catValu>
    <labl>Central Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>262003</catValu>
    <labl>Southeast Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>262004</catValu>
    <labl>Market Gardening</labl>
  </catgry>
  <catgry>
    <catValu>262005</catValu>
    <labl>Djibouti City</labl>
  </catgry>
  <catgry>
    <catValu>324001</catValu>
    <labl>Coastal: Rice, Fishing, Palm oil</labl>
  </catgry>
  <catgry>
    <catValu>324002</catValu>
    <labl>Piedmont: Rice, Groundnut, Horticulture</labl>
  </catgry>
  <catgry>
    <catValu>324003</catValu>
    <labl>Central plateau: Horticulture, Fonio, Livestock</labl>
  </catgry>
  <catgry>
    <catValu>324004</catValu>
    <labl>Mountain: Livestock, Fonio, Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>324005</catValu>
    <labl>Mountain : Rice, Livestock, Fonio</labl>
  </catgry>
  <catgry>
    <catValu>324006</catValu>
    <labl>Northern plateau: Rice, Groundnut, Livestock</labl>
  </catgry>
  <catgry>
    <catValu>324007</catValu>
    <labl>Savannah with shrubs: Rice, Gold mining, Livestock</labl>
  </catgry>
  <catgry>
    <catValu>324008</catValu>
    <labl>Northeast: Maize, Gold mining, Livestock</labl>
  </catgry>
  <catgry>
    <catValu>324009</catValu>
    <labl>Wooded savannah: Rice, Manioc, Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>324010</catValu>
    <labl>Pre-forest zone: Rice, Manioc, Livestock</labl>
  </catgry>
  <catgry>
    <catValu>324011</catValu>
    <labl>Forest: Rice, Palm oil, Coffee</labl>
  </catgry>
  <catgry>
    <catValu>332001</catValu>
    <labl>Dry Coastal Maize and Charcoal</labl>
  </catgry>
  <catgry>
    <catValu>332002</catValu>
    <labl>North Tubers and Horticulture</labl>
  </catgry>
  <catgry>
    <catValu>332003</catValu>
    <labl>Central Plateau Maize and Tubers</labl>
  </catgry>
  <catgry>
    <catValu>332004</catValu>
    <labl>Rice Plains of the Artibonite</labl>
  </catgry>
  <catgry>
    <catValu>332005</catValu>
    <labl>Western Banana Plains of Arcahaie</labl>
  </catgry>
  <catgry>
    <catValu>332006</catValu>
    <labl>West Gardening and Beans</labl>
  </catgry>
  <catgry>
    <catValu>332007</catValu>
    <labl>South Beans, Bananas, and Petty Trade</labl>
  </catgry>
  <catgry>
    <catValu>332008</catValu>
    <labl>Southwestern Coast Maize, Manioc, and Bush Products</labl>
  </catgry>
  <catgry>
    <catValu>332009</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>340000</catValu>
    <labl>Casco urbano</labl>
  </catgry>
  <catgry>
    <catValu>340001</catValu>
    <labl>Zona de medios de vida litoral GarÃ­funa y de turismo en islas de la BahÃ­a</labl>
  </catgry>
  <catgry>
    <catValu>340002</catValu>
    <labl>Zona litoral atlÃ¡ntica productora de aceite de palma</labl>
  </catgry>
  <catgry>
    <catValu>340003</catValu>
    <labl>Zona de venta de obra en maquilas, banano y caÃ±a de azÃºcar</labl>
  </catgry>
  <catgry>
    <catValu>340004</catValu>
    <labl>Zona Mosquitia de caza y pesca</labl>
  </catgry>
  <catgry>
    <catValu>340005</catValu>
    <labl>Zona montaÃ±osa de cafÃ©</labl>
  </catgry>
  <catgry>
    <catValu>340006</catValu>
    <labl>Zona de medios de vida pesquera y salinera del Golfo de Fonseca</labl>
  </catgry>
  <catgry>
    <catValu>340007</catValu>
    <labl>Zona de granos bÃ¡sicos de subsistencia y remesas</labl>
  </catgry>
  <catgry>
    <catValu>340008</catValu>
    <labl>Zona de venta de mano de obra en melÃ³n, sandÃ­a y camarÃ³n</labl>
  </catgry>
  <catgry>
    <catValu>340009</catValu>
    <labl>Zona de medios de vida, granos bÃ¡sicos y ganaderÃ­a</labl>
  </catgry>
  <catgry>
    <catValu>340010</catValu>
    <labl>Reserva del RÃ­o Platano</labl>
  </catgry>
  <catgry>
    <catValu>404001</catValu>
    <labl>Northwestern Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404002</catValu>
    <labl>Turkwell Riverine Zone</labl>
  </catgry>
  <catgry>
    <catValu>404003</catValu>
    <labl>Northwestern Agropastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404004</catValu>
    <labl>Lake Turkana Fishing</labl>
  </catgry>
  <catgry>
    <catValu>404005</catValu>
    <labl>Northern Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404006</catValu>
    <labl>Marsabit Marginal Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404007</catValu>
    <labl>Northeastern Agropastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404008</catValu>
    <labl>Mandera Riverine Zone</labl>
  </catgry>
  <catgry>
    <catValu>404009</catValu>
    <labl>Northeastern Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404010</catValu>
    <labl>Eastern Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404011</catValu>
    <labl>Southeastern Pastoral  Zone</labl>
  </catgry>
  <catgry>
    <catValu>404012</catValu>
    <labl>Coastal Medium Potential Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404013</catValu>
    <labl>Coastal Marginal Agricultural Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404014</catValu>
    <labl>Tana Riverine Zone</labl>
  </catgry>
  <catgry>
    <catValu>404015</catValu>
    <labl>Southern Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404016</catValu>
    <labl>Southeastern Marginal Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404017</catValu>
    <labl>Southeastern Medium Potential, Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404018</catValu>
    <labl>Southern Agropastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404019</catValu>
    <labl>Central Highlands, High Potential Zone</labl>
  </catgry>
  <catgry>
    <catValu>404020</catValu>
    <labl>Western Medium Potential Zone</labl>
  </catgry>
  <catgry>
    <catValu>404021</catValu>
    <labl>Western High Potential Zone</labl>
  </catgry>
  <catgry>
    <catValu>404022</catValu>
    <labl>Western Lakeshore Marginal Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404023</catValu>
    <labl>Lake Victoria Fishing Zone</labl>
  </catgry>
  <catgry>
    <catValu>404024</catValu>
    <labl>Western Agropastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>426001</catValu>
    <labl>Northern Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>426002</catValu>
    <labl>Southern Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>426003</catValu>
    <labl>Foothills</labl>
  </catgry>
  <catgry>
    <catValu>426004</catValu>
    <labl>Mountains</labl>
  </catgry>
  <catgry>
    <catValu>426005</catValu>
    <labl>Senqu River Valley</labl>
  </catgry>
  <catgry>
    <catValu>430001</catValu>
    <labl>North-East Rice Farming Palm Oil</labl>
  </catgry>
  <catgry>
    <catValu>430002</catValu>
    <labl>North/Central Rice with Cassava and Market Gardening</labl>
  </catgry>
  <catgry>
    <catValu>430003</catValu>
    <labl>South-East Rice with Cassava</labl>
  </catgry>
  <catgry>
    <catValu>430004</catValu>
    <labl>Coastal Plain Cassava with Rice and Inland Fishing</labl>
  </catgry>
  <catgry>
    <catValu>430005</catValu>
    <labl>Coastal Fishing and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>430006</catValu>
    <labl>Rice Intercropped and Forest Hunting</labl>
  </catgry>
  <catgry>
    <catValu>430007</catValu>
    <labl>Border Cacao and Coffee Farming</labl>
  </catgry>
  <catgry>
    <catValu>430008</catValu>
    <labl>Rubber and Charcoal with Food Crops</labl>
  </catgry>
  <catgry>
    <catValu>430009</catValu>
    <labl>Peri-Urban: Petty Trade, Market Gardening and Casual Employment</labl>
  </catgry>
  <catgry>
    <catValu>430010</catValu>
    <labl>Mining/Concession and Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>430098</catValu>
    <labl>National Parks</labl>
  </catgry>
  <catgry>
    <catValu>430099</catValu>
    <labl>Urban Areas</labl>
  </catgry>
  <catgry>
    <catValu>450001</catValu>
    <labl>Extreme north: sugar cane, fishing, tourism</labl>
  </catgry>
  <catgry>
    <catValu>450002</catValu>
    <labl>North: vanilla, clove, coconut tree</labl>
  </catgry>
  <catgry>
    <catValu>450003</catValu>
    <labl>Sofia River basin: tobacco, onion, fishing</labl>
  </catgry>
  <catgry>
    <catValu>450004</catValu>
    <labl>Northern highland: rice, zebu</labl>
  </catgry>
  <catgry>
    <catValu>450005</catValu>
    <labl>Betsiboka Delta: rice, fishing</labl>
  </catgry>
  <catgry>
    <catValu>450006</catValu>
    <labl>Upper Betsiboka: gold mining, rice, cows</labl>
  </catgry>
  <catgry>
    <catValu>450007</catValu>
    <labl>Aloatra: rice, fishing, livestock rearing</labl>
  </catgry>
  <catgry>
    <catValu>450008</catValu>
    <labl>Toamasina: cloves, coffee, trade</labl>
  </catgry>
  <catgry>
    <catValu>450009</catValu>
    <labl>West: rice, fishing, gathering</labl>
  </catgry>
  <catgry>
    <catValu>450010</catValu>
    <labl>Agropastoral midwest: rice, maize, pulses</labl>
  </catgry>
  <catgry>
    <catValu>450011</catValu>
    <labl>Central Iarivo: rice, market gardening, eucalyptus</labl>
  </catgry>
  <catgry>
    <catValu>450012</catValu>
    <labl>Moramanga: forest, petty trade, market gardening</labl>
  </catgry>
  <catgry>
    <catValu>450013</catValu>
    <labl>Center-east: litchi, coffee, citrus</labl>
  </catgry>
  <catgry>
    <catValu>450014</catValu>
    <labl>Ankaratra: staple crops, horticulture, milk</labl>
  </catgry>
  <catgry>
    <catValu>450015</catValu>
    <labl>Tsirobihina Delta: rice, fishing, pulses</labl>
  </catgry>
  <catgry>
    <catValu>450016</catValu>
    <labl>South-central peneplain: rice, onion, small livestock</labl>
  </catgry>
  <catgry>
    <catValu>450017</catValu>
    <labl>Southern highlands: staple crops, crafts, market gardening</labl>
  </catgry>
  <catgry>
    <catValu>450018</catValu>
    <labl>Corridor: forest products, banana</labl>
  </catgry>
  <catgry>
    <catValu>450019</catValu>
    <labl>Southeast: coffee, litchi, cassava</labl>
  </catgry>
  <catgry>
    <catValu>450020</catValu>
    <labl>Southwest: rice, lima bean</labl>
  </catgry>
  <catgry>
    <catValu>450021</catValu>
    <labl>Bara plateau: cows, cassava</labl>
  </catgry>
  <catgry>
    <catValu>450022</catValu>
    <labl>Center-south: staple crops, industrial sisal, zebu</labl>
  </catgry>
  <catgry>
    <catValu>450023</catValu>
    <labl>Mahafaly plateau: cassava</labl>
  </catgry>
  <catgry>
    <catValu>450024</catValu>
    <labl>Extreme south: cassava, maize, livestock rearing</labl>
  </catgry>
  <catgry>
    <catValu>454001</catValu>
    <labl>Central Karonga</labl>
  </catgry>
  <catgry>
    <catValu>454002</catValu>
    <labl>Chitipa Millet &amp; Maize</labl>
  </catgry>
  <catgry>
    <catValu>454003</catValu>
    <labl>Kasungu Lilongwe Plain</labl>
  </catgry>
  <catgry>
    <catValu>454004</catValu>
    <labl>Lake Chilwa - Phalombe Plain</labl>
  </catgry>
  <catgry>
    <catValu>454005</catValu>
    <labl>Lower Shire</labl>
  </catgry>
  <catgry>
    <catValu>454006</catValu>
    <labl>Middle Shire Valley</labl>
  </catgry>
  <catgry>
    <catValu>454007</catValu>
    <labl>Misuku Hills</labl>
  </catgry>
  <catgry>
    <catValu>454008</catValu>
    <labl>Mzimba Self Sufficient</labl>
  </catgry>
  <catgry>
    <catValu>454009</catValu>
    <labl>Nkhata Bay Cassava</labl>
  </catgry>
  <catgry>
    <catValu>454010</catValu>
    <labl>Northern Karonga</labl>
  </catgry>
  <catgry>
    <catValu>454011</catValu>
    <labl>Northern Lakeshore</labl>
  </catgry>
  <catgry>
    <catValu>454012</catValu>
    <labl>Phirilongwe Hills</labl>
  </catgry>
  <catgry>
    <catValu>454013</catValu>
    <labl>Rift Valley Escarpment</labl>
  </catgry>
  <catgry>
    <catValu>454014</catValu>
    <labl>Shire Highlands</labl>
  </catgry>
  <catgry>
    <catValu>454015</catValu>
    <labl>Southern Lakeshore</labl>
  </catgry>
  <catgry>
    <catValu>454016</catValu>
    <labl>Thyolo Mulunje Tea Estates</labl>
  </catgry>
  <catgry>
    <catValu>454017</catValu>
    <labl>Western Rumphi &amp; Mzimba</labl>
  </catgry>
  <catgry>
    <catValu>454018</catValu>
    <labl>Border Productive Horticulture</labl>
  </catgry>
  <catgry>
    <catValu>454019</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>454020</catValu>
    <labl>National Park</labl>
  </catgry>
  <catgry>
    <catValu>466001</catValu>
    <labl>Nomadism and Trans-Saharan Trade</labl>
  </catgry>
  <catgry>
    <catValu>466002</catValu>
    <labl>Northern Livestock</labl>
  </catgry>
  <catgry>
    <catValu>466003</catValu>
    <labl>Niger Loop Rice and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>466004</catValu>
    <labl>Central Livestock, Millet, and Remittances</labl>
  </catgry>
  <catgry>
    <catValu>466005</catValu>
    <labl>Dogon Plateau Millet and Shallots</labl>
  </catgry>
  <catgry>
    <catValu>466006</catValu>
    <labl>Niger Delta Rice, Cattle, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>466007</catValu>
    <labl>Office du NigerRice and Market Gardening</labl>
  </catgry>
  <catgry>
    <catValu>466008</catValu>
    <labl>Northwestern Sorghum, Remittances, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>466009</catValu>
    <labl>Central Sorghum and Millet</labl>
  </catgry>
  <catgry>
    <catValu>466010</catValu>
    <labl>Southeastern Sorghum, Millet, and Cotton</labl>
  </catgry>
  <catgry>
    <catValu>466011</catValu>
    <labl>Southern Maize, Cotton, and Fruits</labl>
  </catgry>
  <catgry>
    <catValu>466012</catValu>
    <labl>Southwestern Maize, Livestock, and Gold Mining</labl>
  </catgry>
  <catgry>
    <catValu>466013</catValu>
    <labl>Center-eastern Millet and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>466014</catValu>
    <labl>Lakes Recessional Millet and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>466015</catValu>
    <labl>Western Groundnut, Sorghum, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>466016</catValu>
    <labl>Southwestern Gold Mining and Maize</labl>
  </catgry>
  <catgry>
    <catValu>466017</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>478001</catValu>
    <labl>Nomadic pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>478002</catValu>
    <labl>Mine and pastoral</labl>
  </catgry>
  <catgry>
    <catValu>478003</catValu>
    <labl>Mixed pastoral, oases and wadis</labl>
  </catgry>
  <catgry>
    <catValu>478004</catValu>
    <labl>Littoral coastal fishing</labl>
  </catgry>
  <catgry>
    <catValu>478005</catValu>
    <labl>Pastoral and trade</labl>
  </catgry>
  <catgry>
    <catValu>478006</catValu>
    <labl>Transhumant pastoralism</labl>
  </catgry>
  <catgry>
    <catValu>478007</catValu>
    <labl>Agropastoralism</labl>
  </catgry>
  <catgry>
    <catValu>478008</catValu>
    <labl>Senegal valley agriculture</labl>
  </catgry>
  <catgry>
    <catValu>478009</catValu>
    <labl>Rainfed agriculture</labl>
  </catgry>
  <catgry>
    <catValu>508001</catValu>
    <labl>Lakeshore Basic Staples and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508002</catValu>
    <labl>Northern Highland Forest and Tourism</labl>
  </catgry>
  <catgry>
    <catValu>508003</catValu>
    <labl>Northwestern Tobacco and Maize</labl>
  </catgry>
  <catgry>
    <catValu>508004</catValu>
    <labl>Northern Cassava, Maize, and Forest</labl>
  </catgry>
  <catgry>
    <catValu>508005</catValu>
    <labl>Northern Highland with Mixed Cropping</labl>
  </catgry>
  <catgry>
    <catValu>508006</catValu>
    <labl>Northeastern Highland Forest</labl>
  </catgry>
  <catgry>
    <catValu>508007</catValu>
    <labl>Northeastern Cassava, Cashew, and Coconut</labl>
  </catgry>
  <catgry>
    <catValu>508008</catValu>
    <labl>North-Central Coastal Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508009</catValu>
    <labl>Plains with Cassava, Rice, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508010</catValu>
    <labl>Zambezi Valley with Maize and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508011</catValu>
    <labl>Northwestern Cropping and Cross-border Trade</labl>
  </catgry>
  <catgry>
    <catValu>508012</catValu>
    <labl>Coastal Sugarcane and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508013</catValu>
    <labl>Tete Highland Mixed Cropping, Tobbaco, and Cotton</labl>
  </catgry>
  <catgry>
    <catValu>508014</catValu>
    <labl>Cahora Bassa Dam Sesame and Cotton</labl>
  </catgry>
  <catgry>
    <catValu>508015</catValu>
    <labl>Central Semiarid Cotton and Minerals</labl>
  </catgry>
  <catgry>
    <catValu>508016</catValu>
    <labl>Manica Highland Mixed Cropping, Cotton, and Tobacco</labl>
  </catgry>
  <catgry>
    <catValu>508017</catValu>
    <labl>Central Manica and Sofala Mixed Cropping</labl>
  </catgry>
  <catgry>
    <catValu>508018</catValu>
    <labl>Cheringoma and Muanza Maize and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>508019</catValu>
    <labl>Central Semiarid Pineapple and Cashew</labl>
  </catgry>
  <catgry>
    <catValu>508020</catValu>
    <labl>Southern Coastal Cassava, Coconut, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508021</catValu>
    <labl>Southern Intermediate Mixed Cropping</labl>
  </catgry>
  <catgry>
    <catValu>508022</catValu>
    <labl>Southern Semiarid Cereals and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>508023</catValu>
    <labl>Southeastern Rice</labl>
  </catgry>
  <catgry>
    <catValu>508024</catValu>
    <labl>Limpopo and Elephant Rivers Mixed Cropping</labl>
  </catgry>
  <catgry>
    <catValu>508025</catValu>
    <labl>Southern Coastal Rishing, Manioc, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>508026</catValu>
    <labl>Southern Highland Cattle and Mixed Cropping</labl>
  </catgry>
  <catgry>
    <catValu>558000</catValu>
    <labl>Urban Area</labl>
  </catgry>
  <catgry>
    <catValu>558001</catValu>
    <labl>Pacific Coast Export Fishing, Aquaculture, Tourism and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>558002</catValu>
    <labl>Pacific Agro-Industrial and Transitional Agriculture Zone</labl>
  </catgry>
  <catgry>
    <catValu>558003</catValu>
    <labl>Northwest Subsistence Agriculture, Livestock and Alternate Income Activities Zone</labl>
  </catgry>
  <catgry>
    <catValu>558004</catValu>
    <labl>EstelÃ­ Traditional and Industrial Tobacco Zone</labl>
  </catgry>
  <catgry>
    <catValu>558005</catValu>
    <labl>Managua Peri-urban Free-Trade, Agro-industry and Services Zone</labl>
  </catgry>
  <catgry>
    <catValu>558006</catValu>
    <labl>East-Central Vegetables, Informal Trade, Industry and Tourism ZoneÂ</labl>
  </catgry>
  <catgry>
    <catValu>558007</catValu>
    <labl>Southern Pacific, Agriculture and High Migration Zone</labl>
  </catgry>
  <catgry>
    <catValu>558008</catValu>
    <labl>Central Cattle and Agricultural Frontier Zone</labl>
  </catgry>
  <catgry>
    <catValu>558009</catValu>
    <labl>Agriculture and Livestock with High Migration to Costa Rica Zone</labl>
  </catgry>
  <catgry>
    <catValu>558010</catValu>
    <labl>Caribbean Humid Tropical Agriculture Zone</labl>
  </catgry>
  <catgry>
    <catValu>558011</catValu>
    <labl>Northern Atlantic Agricultural Frontier and Mining Zone</labl>
  </catgry>
  <catgry>
    <catValu>558012</catValu>
    <labl>Coffee with Commercial Agriculture and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>558013</catValu>
    <labl>Northern Market-bound Basic Grains, Livestock and Coffee Zone</labl>
  </catgry>
  <catgry>
    <catValu>558014</catValu>
    <labl>Communal Forestry Zone</labl>
  </catgry>
  <catgry>
    <catValu>558015</catValu>
    <labl>Coco River Traditional Agriculture Zone</labl>
  </catgry>
  <catgry>
    <catValu>558016</catValu>
    <labl>Caribbean Coast Traditional Fishing Zone</labl>
  </catgry>
  <catgry>
    <catValu>558025</catValu>
    <labl>National Forest Reserve</labl>
  </catgry>
  <catgry>
    <catValu>562000</catValu>
    <labl>Not Zoned (Desert)</labl>
  </catgry>
  <catgry>
    <catValu>562001</catValu>
    <labl>North-east Oases: Dates, Salt and Trade</labl>
  </catgry>
  <catgry>
    <catValu>562002</catValu>
    <labl>AÃ¯r Massif Irrigated Gardening</labl>
  </catgry>
  <catgry>
    <catValu>562003</catValu>
    <labl>Transhumant and Nomad Pastoralism</labl>
  </catgry>
  <catgry>
    <catValu>562004</catValu>
    <labl>Agropastoral Belt</labl>
  </catgry>
  <catgry>
    <catValu>562005</catValu>
    <labl>Rainfed Millet and Sorghum Belt</labl>
  </catgry>
  <catgry>
    <catValu>562006</catValu>
    <labl>Cropping and Herding with High Work Outmigration</labl>
  </catgry>
  <catgry>
    <catValu>562007</catValu>
    <labl>Southern Irrigated Cash Crops</labl>
  </catgry>
  <catgry>
    <catValu>562008</catValu>
    <labl>Southwestern Cereals with Fan-Palm Products</labl>
  </catgry>
  <catgry>
    <catValu>562009</catValu>
    <labl>Niger River Irrigated Rice</labl>
  </catgry>
  <catgry>
    <catValu>562010</catValu>
    <labl>Dallols - Seasonal Water-Course Irrigated Crops</labl>
  </catgry>
  <catgry>
    <catValu>562011</catValu>
    <labl>Southeastern Natron Salt and Small Basin Irrigated Dates</labl>
  </catgry>
  <catgry>
    <catValu>562012</catValu>
    <labl>Komadougou Irrigated Peppers</labl>
  </catgry>
  <catgry>
    <catValu>562013</catValu>
    <labl>Lake Chad Flood-Retreat Cultivation with Fishing</labl>
  </catgry>
  <catgry>
    <catValu>562014</catValu>
    <labl>Transhumant and Nomad Pastoralism-Camels</labl>
  </catgry>
  <catgry>
    <catValu>566001</catValu>
    <labl>Coastal Fishing</labl>
  </catgry>
  <catgry>
    <catValu>566002</catValu>
    <labl>Southern Cocoa, Palm Oil, and Kola nut</labl>
  </catgry>
  <catgry>
    <catValu>566003</catValu>
    <labl>South-Central Yam, Cassava, and Banana</labl>
  </catgry>
  <catgry>
    <catValu>566004</catValu>
    <labl>Southeast Rice, Salt, and Granite</labl>
  </catgry>
  <catgry>
    <catValu>566005</catValu>
    <labl>Niger and Benue River Floodplain Rice and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>566006</catValu>
    <labl>Central Plain Yam and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>566007</catValu>
    <labl>Mambilla Plateau Cattle, Cocoa, and Tea</labl>
  </catgry>
  <catgry>
    <catValu>566008</catValu>
    <labl>Central Highland Maize and Soybean</labl>
  </catgry>
  <catgry>
    <catValu>566009</catValu>
    <labl>Northeastern Highland Maize, Cocoyam, Potatoes, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>566010</catValu>
    <labl>North-Central Maize, Sorghum, and Cotton</labl>
  </catgry>
  <catgry>
    <catValu>566011</catValu>
    <labl>Northern Floodplains Irrigated Rice, Wheat, and Vegetables</labl>
  </catgry>
  <catgry>
    <catValu>566012</catValu>
    <labl>Northeast Millet, Cowpea, and Sesame</labl>
  </catgry>
  <catgry>
    <catValu>566013</catValu>
    <labl>Sahel Mixed Cereals and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>686000</catValu>
    <labl>Urban Area - Dakar</labl>
  </catgry>
  <catgry>
    <catValu>686001</catValu>
    <labl>The Niayes Gardening and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>686002</catValu>
    <labl>Delta Rice, Horticulture, and Agricultural Labor</labl>
  </catgry>
  <catgry>
    <catValu>686003</catValu>
    <labl>Valley Rice and Remittances</labl>
  </catgry>
  <catgry>
    <catValu>686004</catValu>
    <labl>Dieri Millet and Remittances</labl>
  </catgry>
  <catgry>
    <catValu>686005</catValu>
    <labl>Rainfed Cowpea and Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>686006</catValu>
    <labl>Sylvopatoral Livestock and Gathering</labl>
  </catgry>
  <catgry>
    <catValu>686007</catValu>
    <labl>Small Coast Fishing and Tourism</labl>
  </catgry>
  <catgry>
    <catValu>686008</catValu>
    <labl>Rainfed Groundnut and Millet</labl>
  </catgry>
  <catgry>
    <catValu>686009</catValu>
    <labl>Agropastoral Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>686010</catValu>
    <labl>Rainfed Groundnut and Cereals</labl>
  </catgry>
  <catgry>
    <catValu>686011</catValu>
    <labl>Forest and Rainfed Rice</labl>
  </catgry>
  <catgry>
    <catValu>686012</catValu>
    <labl>Forest, Rainfed Rice, and Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>686013</catValu>
    <labl>Rainfed Maize, Cotton, and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>686014</catValu>
    <labl>Rainfed Maize and Lumber</labl>
  </catgry>
  <catgry>
    <catValu>686015</catValu>
    <labl>Rainfed Maize and Artisanal Gold Mining</labl>
  </catgry>
  <catgry>
    <catValu>686016</catValu>
    <labl>National Park</labl>
  </catgry>
  <catgry>
    <catValu>694000</catValu>
    <labl>Urban Area - Not Zoned</labl>
  </catgry>
  <catgry>
    <catValu>694001</catValu>
    <labl>Tonkolli Food Crops, Gold and Iron Ore</labl>
  </catgry>
  <catgry>
    <catValu>694002</catValu>
    <labl>Bombali Food Crops, Peppers, Tobacco and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>694003</catValu>
    <labl>Western Rice, Root Crops, Cereals and Trade Belt</labl>
  </catgry>
  <catgry>
    <catValu>694004</catValu>
    <labl>Coastal Food Crops and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>694005</catValu>
    <labl>Kailahun-Kenema-Pujehun Cash Crops, Food Crops and Trade</labl>
  </catgry>
  <catgry>
    <catValu>694006</catValu>
    <labl>Kono-Kenema-Bo Rice, Tree Crops and Timbers</labl>
  </catgry>
  <catgry>
    <catValu>694007</catValu>
    <labl>Koinadugu Food Crops, Livestock and Trade</labl>
  </catgry>
  <catgry>
    <catValu>694008</catValu>
    <labl>Follosoba Dembellia and Wara Wara Yagala Vegetables</labl>
  </catgry>
  <catgry>
    <catValu>694009</catValu>
    <labl>Freetown Peri-Urban</labl>
  </catgry>
  <catgry>
    <catValu>694010</catValu>
    <labl>Rice Bowl Areas</labl>
  </catgry>
  <catgry>
    <catValu>706001</catValu>
    <labl>Guban Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>706002</catValu>
    <labl>West Golis Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>706003</catValu>
    <labl>Northwestern Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>706004</catValu>
    <labl>Togdheer Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>706005</catValu>
    <labl>Hawd Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>706006</catValu>
    <labl>Northern Inland Pastoral â€“ Goats and Sheep</labl>
  </catgry>
  <catgry>
    <catValu>706007</catValu>
    <labl>East Golis â€“ Frankincense, Goats, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>706008</catValu>
    <labl>Coastal Deeh Pastoral and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>706009</catValu>
    <labl>Addun Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>706010</catValu>
    <labl>Cowpea Belt Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>706011</catValu>
    <labl>Southern Inland Pastoral â€“ Camels, Goats, Sheep, and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>706012</catValu>
    <labl>Southern Agropastoral â€“ Goats, Camels, and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>706013</catValu>
    <labl>Riverine Pump Irrigation</labl>
  </catgry>
  <catgry>
    <catValu>706014</catValu>
    <labl>Riverine Gravity Irrigation</labl>
  </catgry>
  <catgry>
    <catValu>706015</catValu>
    <labl>Sorghum High Potential Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>706016</catValu>
    <labl>Bay Bakool Low Potential Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>706017</catValu>
    <labl>Southern Rainfed Agropastoral â€“ Maize, Cattle, and Goats</labl>
  </catgry>
  <catgry>
    <catValu>706018</catValu>
    <labl>Juba Pastoral â€“  Cattle and Goats</labl>
  </catgry>
  <catgry>
    <catValu>706019</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>716000</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>716001</catValu>
    <labl>Agrofisheries</labl>
  </catgry>
  <catgry>
    <catValu>716002</catValu>
    <labl>Beitbridge South Western Lowveld Communal</labl>
  </catgry>
  <catgry>
    <catValu>716003</catValu>
    <labl>Bikita-Zaka Highlands Communal</labl>
  </catgry>
  <catgry>
    <catValu>716004</catValu>
    <labl>Central and Northern Semi Intensive Farming</labl>
  </catgry>
  <catgry>
    <catValu>716005</catValu>
    <labl>Cereal and High Cotton Communal</labl>
  </catgry>
  <catgry>
    <catValu>716006</catValu>
    <labl>Cereal and Low Cotton Communal</labl>
  </catgry>
  <catgry>
    <catValu>716007</catValu>
    <labl>Eastern Highlands Commercial Farming</labl>
  </catgry>
  <catgry>
    <catValu>716008</catValu>
    <labl>Eastern Highlands Prime Communal</labl>
  </catgry>
  <catgry>
    <catValu>716009</catValu>
    <labl>Eastern Kalahari Sandveld Communal</labl>
  </catgry>
  <catgry>
    <catValu>716010</catValu>
    <labl>Greater Mudzi Communal</labl>
  </catgry>
  <catgry>
    <catValu>716011</catValu>
    <labl>Highveld Prime Cereal and Cash Crop Resettlement</labl>
  </catgry>
  <catgry>
    <catValu>716012</catValu>
    <labl>Highveld Prime Communal</labl>
  </catgry>
  <catgry>
    <catValu>716013</catValu>
    <labl>Irrigated Commercial Sugar and Fruit Farming</labl>
  </catgry>
  <catgry>
    <catValu>716014</catValu>
    <labl>Kariba Valley and Kariangwe-Jambezi Communal</labl>
  </catgry>
  <catgry>
    <catValu>716015</catValu>
    <labl>Livestock and Cereal  Farming Communal in Forests</labl>
  </catgry>
  <catgry>
    <catValu>716016</catValu>
    <labl>Lusulu, Lupane and Southern Gokwe Mixed Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>716017</catValu>
    <labl>Masvingo Manicaland Middleveld Smallholder</labl>
  </catgry>
  <catgry>
    <catValu>716018</catValu>
    <labl>Matabeleland Middleveld Communal</labl>
  </catgry>
  <catgry>
    <catValu>716019</catValu>
    <labl>Mutorashanga Informal mining</labl>
  </catgry>
  <catgry>
    <catValu>716020</catValu>
    <labl>Mwenezi, Chivi and South Midland Communal</labl>
  </catgry>
  <catgry>
    <catValu>716021</catValu>
    <labl>Northern Cattle and Cereal Farming</labl>
  </catgry>
  <catgry>
    <catValu>716022</catValu>
    <labl>Northern Zambezi Valley Communal</labl>
  </catgry>
  <catgry>
    <catValu>716023</catValu>
    <labl>Save River Valley and Ndowoyo Communal</labl>
  </catgry>
  <catgry>
    <catValu>716024</catValu>
    <labl>Southern Cattle and Cereal Farming</labl>
  </catgry>
  <catgry>
    <catValu>716025</catValu>
    <labl>Western Kalahari Sandveld Communal</labl>
  </catgry>
  <catgry>
    <catValu>716026</catValu>
    <labl>National Park</labl>
  </catgry>
  <catgry>
    <catValu>728001</catValu>
    <labl>Equatorial maize and cassava</labl>
  </catgry>
  <catgry>
    <catValu>728002</catValu>
    <labl>Ironstone Plateau agro-pastoral</labl>
  </catgry>
  <catgry>
    <catValu>728003</catValu>
    <labl>Highland forest and sorghum</labl>
  </catgry>
  <catgry>
    <catValu>728004</catValu>
    <labl>Western groundnuts, sesame and sorghum</labl>
  </catgry>
  <catgry>
    <catValu>728005</catValu>
    <labl>Eastern semi-arid pastoral</labl>
  </catgry>
  <catgry>
    <catValu>728006</catValu>
    <labl>Eastern plains sorghum and cattle</labl>
  </catgry>
  <catgry>
    <catValu>728007</catValu>
    <labl>Greater Bahr el Ghazal sorghum and cattle</labl>
  </catgry>
  <catgry>
    <catValu>728008</catValu>
    <labl>Nile basin fishing and agro-pastoral</labl>
  </catgry>
  <catgry>
    <catValu>728009</catValu>
    <labl>Oil resources, maize and cattle</labl>
  </catgry>
  <catgry>
    <catValu>728010</catValu>
    <labl>Northeastern maize and cattle</labl>
  </catgry>
  <catgry>
    <catValu>728011</catValu>
    <labl>Northern sorhgum and livestock</labl>
  </catgry>
  <catgry>
    <catValu>729000</catValu>
    <labl>Not Zoned</labl>
  </catgry>
  <catgry>
    <catValu>729001</catValu>
    <labl>Northern Riverine Small-scale Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>729002</catValu>
    <labl>Southern Riverine Small/Medium-scale Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>729003</catValu>
    <labl>Eastern Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>729004</catValu>
    <labl>West and Central Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>729005</catValu>
    <labl>Eastern Khors Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>729006</catValu>
    <labl>Coastal Fishing</labl>
  </catgry>
  <catgry>
    <catValu>729007</catValu>
    <labl>Eastern Agropastoral Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>729008</catValu>
    <labl>Flood-retreat Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>729009</catValu>
    <labl>Central Irrigated Schemes</labl>
  </catgry>
  <catgry>
    <catValu>729010</catValu>
    <labl>Southeast Rainfed Semi-mechanized Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>729011</catValu>
    <labl>Rainfed Sorghum Belt</labl>
  </catgry>
  <catgry>
    <catValu>729012</catValu>
    <labl>Western Agropastoral Millet and Groundnuts</labl>
  </catgry>
  <catgry>
    <catValu>729013</catValu>
    <labl>Western Agropastoral Millet</labl>
  </catgry>
  <catgry>
    <catValu>729014</catValu>
    <labl>Central Rainfed Millet and Sesame</labl>
  </catgry>
  <catgry>
    <catValu>729015</catValu>
    <labl>Jabel Marra Mixed Highland Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>729016</catValu>
    <labl>Western Wadi Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>729017</catValu>
    <labl>North Darfur Tobacco</labl>
  </catgry>
  <catgry>
    <catValu>729018</catValu>
    <labl>North Kordofan Gum Arabic Belt</labl>
  </catgry>
  <catgry>
    <catValu>729019</catValu>
    <labl>Cattle Dominant Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>800001</catValu>
    <labl>North Eastern Karamoja Highland Apiculture and Potato Zone</labl>
  </catgry>
  <catgry>
    <catValu>800002</catValu>
    <labl>Western Karamoja Mixed Crop Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>800003</catValu>
    <labl>South Eastern Karamoja Cattle Maize Zone</labl>
  </catgry>
  <catgry>
    <catValu>800004</catValu>
    <labl>Karamoja Mountain and Foot Hills Maize and Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800005</catValu>
    <labl>Central Karamoja Sorghum and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>800006</catValu>
    <labl>NE Sorghum Simsim Maize Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>800007</catValu>
    <labl>North Kitgum Gulu Amuru West Nile Simsim Sorghum Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>800008</catValu>
    <labl>Palabek Tobacco Simsim Sorghum and Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800009</catValu>
    <labl>South Kitgum Pader Abim Simsim Groundnuts Sorghum Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800010</catValu>
    <labl>Albertine West Nile Lowland Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800011</catValu>
    <labl>Kafu Muzizi Maize Upland Rice Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800012</catValu>
    <labl>Albertine Escarpment Cotton Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800013</catValu>
    <labl>Bwijanga Pakanyi SugarcaNE Maize Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800014</catValu>
    <labl>Karuma Masindi Oyam Tobacco Maize Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800015</catValu>
    <labl>West Nile Tobacco Cassava Sorghum Zone</labl>
  </catgry>
  <catgry>
    <catValu>800016</catValu>
    <labl>Rwenzori Mt.Elgon West Nile Arabica Coffee Banana Zone</labl>
  </catgry>
  <catgry>
    <catValu>800017</catValu>
    <labl>Amuru Gulu Rice Groundnut Sorghum Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>800018</catValu>
    <labl>Southwest Gulu Beans Groundnuts Shoat Cassava</labl>
  </catgry>
  <catgry>
    <catValu>800019</catValu>
    <labl>Mid North Simsim Maize Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800020</catValu>
    <labl>Eastern Lowland Maize Beans Rice Zone</labl>
  </catgry>
  <catgry>
    <catValu>800021</catValu>
    <labl>Eastern Central Lowland Cassava Sorghum and Groundnut Zone</labl>
  </catgry>
  <catgry>
    <catValu>800022</catValu>
    <labl>Mt Elgon Highland Irish Potato Cereal Zone</labl>
  </catgry>
  <catgry>
    <catValu>800023</catValu>
    <labl>Central and Southern Cattle Cassava Maize Zone</labl>
  </catgry>
  <catgry>
    <catValu>800024</catValu>
    <labl>Lakeshore and Riverbank Fishing Zone</labl>
  </catgry>
  <catgry>
    <catValu>800025</catValu>
    <labl>Southeastern Maize Beans Robusta Coffee Zone</labl>
  </catgry>
  <catgry>
    <catValu>800026</catValu>
    <labl>Midwest Central and Lake Victoria Crescent Robusta Coffee Banana Maize and Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800027</catValu>
    <labl>Rwenzori Midland Banana Fruit Vegetable Dairy Zone</labl>
  </catgry>
  <catgry>
    <catValu>800028</catValu>
    <labl>Kazinga Channel Cassava Maize Fruit Vegetable Cotton Zone</labl>
  </catgry>
  <catgry>
    <catValu>800029</catValu>
    <labl>Rwenzori Lowland Maize Vegetable Banana Zone</labl>
  </catgry>
  <catgry>
    <catValu>800030</catValu>
    <labl>Southeastern Lowland Cassava Cereal Zone</labl>
  </catgry>
  <catgry>
    <catValu>800031</catValu>
    <labl>Eastern Lowland Rice Root Crop Zone</labl>
  </catgry>
  <catgry>
    <catValu>800032</catValu>
    <labl>Southeastern Lowland Cassava Maize Sweet Potato Zone</labl>
  </catgry>
  <catgry>
    <catValu>800033</catValu>
    <labl>East Central Plantation Outgrower Zone</labl>
  </catgry>
  <catgry>
    <catValu>800034</catValu>
    <labl>Kayunga Masaka Pineapple Banana Robusta Coffee and Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800035</catValu>
    <labl>SW Highland Irish Potato Sorghum Vegetable Zone</labl>
  </catgry>
  <catgry>
    <catValu>800036</catValu>
    <labl>Kalangala Fishing Oil Palm Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800037</catValu>
    <labl>Western Rift Valley Cocoa Coffee Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800038</catValu>
    <labl>Rwenzori Midland Tea and Dairy Zone</labl>
  </catgry>
  <catgry>
    <catValu>800039</catValu>
    <labl>Southwestern Midland Banana Robusta Coffee Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800040</catValu>
    <labl>SW Rift Valley Tobacco Bean Millet Zone</labl>
  </catgry>
  <catgry>
    <catValu>800041</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>800042</catValu>
    <labl>National Park</labl>
  </catgry>
  <catgry>
    <catValu>834001</catValu>
    <labl>Southern Maasai Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>834002</catValu>
    <labl>River Pangani Paddy and Maize Basin</labl>
  </catgry>
  <catgry>
    <catValu>834003</catValu>
    <labl>Tanga Maize and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>834004</catValu>
    <labl>Tanga Maize and Sisal Employment</labl>
  </catgry>
  <catgry>
    <catValu>834005</catValu>
    <labl>Usambara-Pare Highland</labl>
  </catgry>
  <catgry>
    <catValu>834006</catValu>
    <labl>Tanga Maize, Orange, and Jackfruit Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834007</catValu>
    <labl>Tanga-Pwani Coastal Maize, Paddy Belt</labl>
  </catgry>
  <catgry>
    <catValu>834008</catValu>
    <labl>Handeni-Bagamoyo Maize, Cassava, and Fruit Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834009</catValu>
    <labl>Loliondo Midland Maize, Beans, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834010</catValu>
    <labl>Lower Rombo Maize, Beans, and Finger Millet</labl>
  </catgry>
  <catgry>
    <catValu>834011</catValu>
    <labl>Kilimanjaro-Meru Maize, Coffee, and Plantains</labl>
  </catgry>
  <catgry>
    <catValu>834012</catValu>
    <labl>Karatu Wheat, Maize, and Coffee</labl>
  </catgry>
  <catgry>
    <catValu>834013</catValu>
    <labl>Lower Arusha-Simanjiro Maize</labl>
  </catgry>
  <catgry>
    <catValu>834014</catValu>
    <labl>Northern Maasai Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>834015</catValu>
    <labl>Nowu Maize, Beans, and Onions Highlands</labl>
  </catgry>
  <catgry>
    <catValu>834016</catValu>
    <labl>Babati Kwaraa Maize, Beans, Sunflower, and Coffee</labl>
  </catgry>
  <catgry>
    <catValu>834017</catValu>
    <labl>Kiteto-Kongwa-Mpwapwa-Mvomero Maize, Sorghum, and Pigeon Pea</labl>
  </catgry>
  <catgry>
    <catValu>834018</catValu>
    <labl>Mbulu-Karatu Midlands Maize, Beans, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834019</catValu>
    <labl>Hadzabe Hunter-Gatherer Wild Honey, Wild Roots, and Wild Fruit</labl>
  </catgry>
  <catgry>
    <catValu>834020</catValu>
    <labl>Wembere Paddy, Sorghum, Maize, Sunflower, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>834021</catValu>
    <labl>Bahi-Sanza Irrigated Rice, Maize, Bulrush Millet, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834022</catValu>
    <labl>Iramba Midland Onion, Maize, and Sunflower</labl>
  </catgry>
  <catgry>
    <catValu>834023</catValu>
    <labl>Manyoni Upland Maize, Sunflower, Sesame, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834024</catValu>
    <labl>Tabora-Singida Midland Maize, Sunflower, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834025</catValu>
    <labl>Singida-Manyara Maize, Sorghum, Beans, and Sunflower</labl>
  </catgry>
  <catgry>
    <catValu>834026</catValu>
    <labl>East and South Lakeshore Fishing, Cassava, and Upland Rice</labl>
  </catgry>
  <catgry>
    <catValu>834027</catValu>
    <labl>Western Lakeshore Coffee, Fishing, and Banana</labl>
  </catgry>
  <catgry>
    <catValu>834028</catValu>
    <labl>Kagera-Kigoma-Mara Banana, Coffee, and Beans</labl>
  </catgry>
  <catgry>
    <catValu>834029</catValu>
    <labl>Mwanza-Shinyanga-Mara Cotton, Livestock, Cassava, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834030</catValu>
    <labl>Kagera Lowlands Beans, Maize, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834031</catValu>
    <labl>Shinyanga-Tabora Cotton, Upland Rice, Sweet Potato, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834032</catValu>
    <labl>Sengerema-Geita Highland Cassava, Rice, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834033</catValu>
    <labl>Kagera-Kigoma Beans, Cassava, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834034</catValu>
    <labl>Kahama-Tabora Midland Tobacco, Maize, Rice, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834035</catValu>
    <labl>Kishapu-Meatu-Maswa Sorghum, Cotton, Sweet Potato, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834036</catValu>
    <labl>Urambo-Nzega Lowland Groundnuts, Cotton, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834037</catValu>
    <labl>Kigoma Lowland Palm Oil, Cassava, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834038</catValu>
    <labl>Urambo Agropastoral Maize and Sweet Potato</labl>
  </catgry>
  <catgry>
    <catValu>834039</catValu>
    <labl>Victoria Islands Fishing, Cassava, Sweet Potato, and Paddy</labl>
  </catgry>
  <catgry>
    <catValu>834040</catValu>
    <labl>Ruaha Riverine Maize, Onion, Tomato, and Paddy Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834041</catValu>
    <labl>Chalinze-Tunuguo Maize, Cattle, and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>834042</catValu>
    <labl>Kilombero-Mtibwa Paddy, Maize, and Sugar Employment</labl>
  </catgry>
  <catgry>
    <catValu>834043</catValu>
    <labl>Kilombero-Ulanga-Lusewa Paddy, Maize, and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>834044</catValu>
    <labl>Kilosa-Mvomero Maize and Paddy Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834045</catValu>
    <labl>Matombo-Kuyuni Spice, Maize, and Banana</labl>
  </catgry>
  <catgry>
    <catValu>834046</catValu>
    <labl>Bagamoyo-Kibaha Midland Cassava, Cashew, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834047</catValu>
    <labl>Morogoro Highland Maize and Vegetable</labl>
  </catgry>
  <catgry>
    <catValu>834048</catValu>
    <labl>Maskat-Kimbet Maize and Beans Highlands</labl>
  </catgry>
  <catgry>
    <catValu>834049</catValu>
    <labl>Newala-Masasi Plateau Sesame, Cassava, Cashew, and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>834050</catValu>
    <labl>Mtwara-Lindi Coastal Rice and Cashew</labl>
  </catgry>
  <catgry>
    <catValu>834051</catValu>
    <labl>Matumbi Midland Upland Rice, Oranges, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834052</catValu>
    <labl>Lindi-Nachingwea Lowland Cassava and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834053</catValu>
    <labl>Southeastern Plateau Cassava, Cashew, and Bambara Nuts</labl>
  </catgry>
  <catgry>
    <catValu>834054</catValu>
    <labl>Mtwara-Lindi-Pwani Riverine</labl>
  </catgry>
  <catgry>
    <catValu>834055</catValu>
    <labl>Singida-Dodoma Sorghum, B/Millet, Sunflower, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834056</catValu>
    <labl>Dodoma Lowland Sunflower, Grape, and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>834057</catValu>
    <labl>Mpanda Maize, Paddy, Sunflower, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834058</catValu>
    <labl>Lake Tanganyika-Rukwa Fishing, Maize, and Sunflower</labl>
  </catgry>
  <catgry>
    <catValu>834059</catValu>
    <labl>Kyela Paddy, Cacao, and Palm Oil Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834060</catValu>
    <labl>Rungwe Banana, Coffee, Tea, and Livestock Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834061</catValu>
    <labl>Mporoto-Umalila Irish Potato, Maize, Wheat, and Pyrethrum Highlands</labl>
  </catgry>
  <catgry>
    <catValu>834062</catValu>
    <labl>Mbozi-Mbeya Coffee, Maize, Beans, and Livestock Highlands</labl>
  </catgry>
  <catgry>
    <catValu>834063</catValu>
    <labl>Usangu Paddy, Maize, Sorghum, and Livestock Wetlands</labl>
  </catgry>
  <catgry>
    <catValu>834064</catValu>
    <labl>Kamsamba Paddy, Sorghum, and Livestock Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834065</catValu>
    <labl>Chunya Maize, Sunflower, Cassava, and Groundnut Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834066</catValu>
    <labl>West Chunya Maize, Bulrush Millet, and Sesame Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834067</catValu>
    <labl>Lake Nyasa Shore Cassava Fishing and Paddy</labl>
  </catgry>
  <catgry>
    <catValu>834068</catValu>
    <labl>Namtumbo Tobacco, Maize, Paddy, and Cassava Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834069</catValu>
    <labl>Matengo Coffee, Maize, Beans, and Piggery Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834070</catValu>
    <labl>Songea-Namtumbo-Ludewa-Mibinga Maize, Beans, and Cassava Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834071</catValu>
    <labl>Njombe-Mufindi Maize, Timber, Tea, Pyrethrum, and Employment</labl>
  </catgry>
  <catgry>
    <catValu>834072</catValu>
    <labl>Mtera Dam Fishing, Sorghum, and Sesame</labl>
  </catgry>
  <catgry>
    <catValu>834073</catValu>
    <labl>Makete Wheat, Irish Potato, Timber, and Employment Highlands</labl>
  </catgry>
  <catgry>
    <catValu>834074</catValu>
    <labl>Njombe-Mufindi Maize, Irish Potato, and Bean</labl>
  </catgry>
  <catgry>
    <catValu>834075</catValu>
    <labl>Iringa-Mbarali Maize, Sunflower, Beans, and Groundnut Belt</labl>
  </catgry>
  <catgry>
    <catValu>834076</catValu>
    <labl>Tunduru-Nachingwea-Nanyumbu Cashew, Cassava, and Paddy Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834077</catValu>
    <labl>Mpanda-Chunya-Sikonge Maize and Tobacco Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834078</catValu>
    <labl>Sumbawanga-Mbozi-Mpanda Maize, Sunflower, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834098</catValu>
    <labl>Water</labl>
  </catgry>
  <catgry>
    <catValu>834099</catValu>
    <labl>Not Zoned</labl>
  </catgry>
  <catgry>
    <catValu>854001</catValu>
    <labl>South tubers and cereals</labl>
  </catgry>
  <catgry>
    <catValu>854002</catValu>
    <labl>Southwest fruits, cotton, and cereals</labl>
  </catgry>
  <catgry>
    <catValu>854003</catValu>
    <labl>West cotton and cereals</labl>
  </catgry>
  <catgry>
    <catValu>854004</catValu>
    <labl>West cereals and remittances</labl>
  </catgry>
  <catgry>
    <catValu>854005</catValu>
    <labl>Central plateau cereals and market gardening</labl>
  </catgry>
  <catgry>
    <catValu>854006</catValu>
    <labl>Ouagadougou peri-urban</labl>
  </catgry>
  <catgry>
    <catValu>854007</catValu>
    <labl>North and east livestock and cereals</labl>
  </catgry>
  <catgry>
    <catValu>854008</catValu>
    <labl>North transhumant pastoralism and millet</labl>
  </catgry>
  <catgry>
    <catValu>854009</catValu>
    <labl>Southeast cereals, livestock, forestry and faune</labl>
  </catgry>
  <catgry>
    <catValu>887001</catValu>
    <labl>Amran Rainfed Sorghum, Barley, Qat, and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887002</catValu>
    <labl>Arabian Sea Coastal Irrigated Tropical Fruit, Fodder and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887003</catValu>
    <labl>Central and Eastern Plateau Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>887004</catValu>
    <labl>Central and Eastern Wadi Palm, Wheat, Vegetable and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887005</catValu>
    <labl>Central Highland Potato, Vegetable and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887006</catValu>
    <labl>Eastern Plateau Sorghum, Millet and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887007</catValu>
    <labl>Greater Yemen Coastal and Island Fishing Zone</labl>
  </catgry>
  <catgry>
    <catValu>887008</catValu>
    <labl>Northern and Eastern Desert Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>887009</catValu>
    <labl>Sa'adah Irrigated Wheat, Fruit, Vegetable, Qat, and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887010</catValu>
    <labl>Western and Central Highland Qat, Grain, Fodder and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887011</catValu>
    <labl>Western and Central Wadi Sorghum, Millet, Vegetable, Fruit and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887012</catValu>
    <labl>Western Central Highland Coffee, Qat, Sorghum and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887013</catValu>
    <labl>Western Central Highland Wheat, Sorghum, Qat, and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887014</catValu>
    <labl>Western Coastal Plain Sorghum, Millet, and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887015</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>894001</catValu>
    <labl>Zambezi Plain Rice, Livestock, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>894002</catValu>
    <labl>Southwestern Cereal, Livestock, and Timber</labl>
  </catgry>
  <catgry>
    <catValu>894003</catValu>
    <labl>Western and Northwestern Cassava, Maize, and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>894004</catValu>
    <labl>Kaoma Smallholder Food Crop and Tobacco</labl>
  </catgry>
  <catgry>
    <catValu>894005</catValu>
    <labl>Northwestern Timber and Honey</labl>
  </catgry>
  <catgry>
    <catValu>894006</catValu>
    <labl>Solwezi and Kasempa Mining Labor and Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>894007</catValu>
    <labl>Kafue Plain Maize, Cattle, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>894008</catValu>
    <labl>Commercial Rail Line Maize, Livestock, and Cotton</labl>
  </catgry>
  <catgry>
    <catValu>894009</catValu>
    <labl>Southern Plateau Cattle, Maize, and Tobacco</labl>
  </catgry>
  <catgry>
    <catValu>894010</catValu>
    <labl>Zambezi Valley Agro-fisheries</labl>
  </catgry>
  <catgry>
    <catValu>894011</catValu>
    <labl>Mkushi, Chisamba, and Mpongwe Commercial Farming Block</labl>
  </catgry>
  <catgry>
    <catValu>894012</catValu>
    <labl>Central Copperbelt Maize, Cassava, and Sweet Potato</labl>
  </catgry>
  <catgry>
    <catValu>894013</catValu>
    <labl>Copperbelt Labor and Trade</labl>
  </catgry>
  <catgry>
    <catValu>894014</catValu>
    <labl>Mkushi and Serenje Maize, Sweet Potato, and Horticulture</labl>
  </catgry>
  <catgry>
    <catValu>894015</catValu>
    <labl>Luangwa Valley Informal Mining, Fishing, and Hunting</labl>
  </catgry>
  <catgry>
    <catValu>894016</catValu>
    <labl>Eastern Plateau Maize, Cotton, and Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>894017</catValu>
    <labl>Eastern Plateau Maize, Groundnut, Tobacco, and Trade</labl>
  </catgry>
  <catgry>
    <catValu>894018</catValu>
    <labl>Luangwa Valley Subsistence Farming, Hunting, and Tourism</labl>
  </catgry>
  <catgry>
    <catValu>894019</catValu>
    <labl>Northern Border Maize, Beans, Livestock, and Trade</labl>
  </catgry>
  <catgry>
    <catValu>894020</catValu>
    <labl>Muchinga, Northern, and Luapula Cassava, Groundnut, and Mill</labl>
  </catgry>
  <catgry>
    <catValu>894021</catValu>
    <labl>Mweru, Bangweulu, and Tanganyika Fisheries</labl>
  </catgry>
  <txt>LIVELIHOOD reports the predominant livelihood zone within a 5-kilometer circular buffer around each DHS cluster location. Livelihood zones can be used as an indicator for sources of food and/or income and as a measure of people's vulnerability to hazards, such as flood, drought, food crisis, market disruption, or conflicts. 

Information on livelihood zones are available for selected countries of Africa, Afghanistan, El Salvador, Haiti, Honduras, and Nicaragua. Livelihood zones are country-specific; therefore, codes and labels for LIVELIHOOD vary across countries. 

The original LIVELIHOOD zone codes from the Famine Early Warning Systems Network (FEWS NET [URL omitted from DDI.]) begin with the 2-character alphabetic ISO code followed by the livelihood zone code. In place of the 2-character alphabetic ISO code used in the source data, IPUMS-DHS substitutes the 3-digit ISO country code (e.g., 231 for Ethiopia), followed by the 3-digit numeric livelihood zone code (e.g., 177 for West Central Teff).

LIVELIHOOD, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_CROPLAND" name="B_CROPLAND" files="B" intrvl="discrete">
  <labl>Proportion of land area used for agriculture (circa 2000)</labl>
  <imputation>Proportion of land area used for agriculture (circa 2000)</imputation>
  <security>Proportion of land area used for agriculture (circa 2000)</security>
  <embargo>Proportion of land area used for agriculture (circa 2000)</embargo>
  <respUnit>Proportion of land area used for agriculture (circa 2000)</respUnit>
  <catgry>
    <catValu>-00998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>CROPLAND reports the proportion of land that is planted in crops, for a 10-kilometer circular buffer around each DHS cluster location. The statistics reported in CROPLAND are based on agricultural censuses and remotely sensed imagery circa 2000. 

CROPLAND is available for every IPUMS-DHS sample with GPS data. 
 
CROPLAND, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PASTURELAND" name="B_PASTURELAND" files="B" intrvl="discrete">
  <labl>Proportion of land area used for pastureland (circa 2000)</labl>
  <imputation>Proportion of land area used for pastureland (circa 2000)</imputation>
  <security>Proportion of land area used for pastureland (circa 2000)</security>
  <embargo>Proportion of land area used for pastureland (circa 2000)</embargo>
  <respUnit>Proportion of land area used for pastureland (circa 2000)</respUnit>
  <catgry>
    <catValu>-00998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>PASTURELAND reports the proportion of land that is used as pasture, for a 10-kilometer circular buffer around each DHS cluster location. The pasture area statistics reported in PASTURELAND are based on agricultural censuses and remotely sensed imagery circa 2000.

PASTURELAND is available for every IPUMS-DHS sample with GPS data. 
 
PASTURELAND, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP" name="B_PRECIP" files="B" intrvl="discrete">
  <labl>Precipitation monthly time-series</labl>
  <imputation>Precipitation monthly time-series</imputation>
  <security>Precipitation monthly time-series</security>
  <embargo>Precipitation monthly time-series</embargo>
  <respUnit>Precipitation monthly time-series</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>PRECIP available</labl>
  </catgry>
  <txt>PRECIP consists of a set of 72 separate variables. These variables report the average precipitation in millimeters, received within a 10-kilometer circular buffer around each DHS cluster location, for the 60 individual months prior to the survey start date, the month of the survey start date, and the 11 individual months following the survey start date. Note that "average" precipitation here refers to averaging the monthly precipitation values for the various subareas included in the buffer zone. 
 
By adding PRECIP to your data cart, you are in effect adding 72 separate variables for:

the 60 individual months prior to the survey start date, denoted by the number of months prior to the survey start date (e.g., PRECIP_01 is the average precipitation in the month before the survey start date; PRECIP_60 is the average precipitation in the 60th month before the survey start date);
the month of the survey start date (PRECIP_00);
the 11 individual months following the month of the survey start date, denoted by the number of months following the month of the survey start date (e.g., PRECIP_A01 is the average precipitation in the month following the month of the survey start date).
 

The full set of monthly precipitation data, from January 1981 through August 2018, is available on the IPUMS-DHS contextual variables downloads [URL omitted from DDI.] page. Users can merge the precipitation data, available in csv format, with their IPUMS-DHS data extract to create average or total precipitation variables (e.g., average January precipitation, total 2017 precipitation), for the time frame suited to their research question.

For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_60" name="B_PRECIP_60" files="B" intrvl="discrete">
  <labl>Precipitation 60 months before survey start date</labl>
  <imputation>Precipitation 60 months before survey start date</imputation>
  <security>Precipitation 60 months before survey start date</security>
  <embargo>Precipitation 60 months before survey start date</embargo>
  <respUnit>Precipitation 60 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_59" name="B_PRECIP_59" files="B" intrvl="discrete">
  <labl>Precipitation 59 months before survey start date</labl>
  <imputation>Precipitation 59 months before survey start date</imputation>
  <security>Precipitation 59 months before survey start date</security>
  <embargo>Precipitation 59 months before survey start date</embargo>
  <respUnit>Precipitation 59 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_58" name="B_PRECIP_58" files="B" intrvl="discrete">
  <labl>Precipitation 58 months before survey start date</labl>
  <imputation>Precipitation 58 months before survey start date</imputation>
  <security>Precipitation 58 months before survey start date</security>
  <embargo>Precipitation 58 months before survey start date</embargo>
  <respUnit>Precipitation 58 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_57" name="B_PRECIP_57" files="B" intrvl="discrete">
  <labl>Precipitation 57 months before survey start date</labl>
  <imputation>Precipitation 57 months before survey start date</imputation>
  <security>Precipitation 57 months before survey start date</security>
  <embargo>Precipitation 57 months before survey start date</embargo>
  <respUnit>Precipitation 57 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_56" name="B_PRECIP_56" files="B" intrvl="discrete">
  <labl>Precipitation 56 months before survey start date</labl>
  <imputation>Precipitation 56 months before survey start date</imputation>
  <security>Precipitation 56 months before survey start date</security>
  <embargo>Precipitation 56 months before survey start date</embargo>
  <respUnit>Precipitation 56 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_55" name="B_PRECIP_55" files="B" intrvl="discrete">
  <labl>Precipitation 55 months before survey start date</labl>
  <imputation>Precipitation 55 months before survey start date</imputation>
  <security>Precipitation 55 months before survey start date</security>
  <embargo>Precipitation 55 months before survey start date</embargo>
  <respUnit>Precipitation 55 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_54" name="B_PRECIP_54" files="B" intrvl="discrete">
  <labl>Precipitation 54 months before survey start date</labl>
  <imputation>Precipitation 54 months before survey start date</imputation>
  <security>Precipitation 54 months before survey start date</security>
  <embargo>Precipitation 54 months before survey start date</embargo>
  <respUnit>Precipitation 54 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_53" name="B_PRECIP_53" files="B" intrvl="discrete">
  <labl>Precipitation 53 months before survey start date</labl>
  <imputation>Precipitation 53 months before survey start date</imputation>
  <security>Precipitation 53 months before survey start date</security>
  <embargo>Precipitation 53 months before survey start date</embargo>
  <respUnit>Precipitation 53 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_52" name="B_PRECIP_52" files="B" intrvl="discrete">
  <labl>Precipitation 52 months before survey start date</labl>
  <imputation>Precipitation 52 months before survey start date</imputation>
  <security>Precipitation 52 months before survey start date</security>
  <embargo>Precipitation 52 months before survey start date</embargo>
  <respUnit>Precipitation 52 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_51" name="B_PRECIP_51" files="B" intrvl="discrete">
  <labl>Precipitation 51 months before survey start date</labl>
  <imputation>Precipitation 51 months before survey start date</imputation>
  <security>Precipitation 51 months before survey start date</security>
  <embargo>Precipitation 51 months before survey start date</embargo>
  <respUnit>Precipitation 51 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_50" name="B_PRECIP_50" files="B" intrvl="discrete">
  <labl>Precipitation 50 months before survey start date</labl>
  <imputation>Precipitation 50 months before survey start date</imputation>
  <security>Precipitation 50 months before survey start date</security>
  <embargo>Precipitation 50 months before survey start date</embargo>
  <respUnit>Precipitation 50 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_49" name="B_PRECIP_49" files="B" intrvl="discrete">
  <labl>Precipitation 49 months before survey start date</labl>
  <imputation>Precipitation 49 months before survey start date</imputation>
  <security>Precipitation 49 months before survey start date</security>
  <embargo>Precipitation 49 months before survey start date</embargo>
  <respUnit>Precipitation 49 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_48" name="B_PRECIP_48" files="B" intrvl="discrete">
  <labl>Precipitation 48 months before survey start date</labl>
  <imputation>Precipitation 48 months before survey start date</imputation>
  <security>Precipitation 48 months before survey start date</security>
  <embargo>Precipitation 48 months before survey start date</embargo>
  <respUnit>Precipitation 48 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_47" name="B_PRECIP_47" files="B" intrvl="discrete">
  <labl>Precipitation 47 months before survey start date</labl>
  <imputation>Precipitation 47 months before survey start date</imputation>
  <security>Precipitation 47 months before survey start date</security>
  <embargo>Precipitation 47 months before survey start date</embargo>
  <respUnit>Precipitation 47 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_46" name="B_PRECIP_46" files="B" intrvl="discrete">
  <labl>Precipitation 46 months before survey start date</labl>
  <imputation>Precipitation 46 months before survey start date</imputation>
  <security>Precipitation 46 months before survey start date</security>
  <embargo>Precipitation 46 months before survey start date</embargo>
  <respUnit>Precipitation 46 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_45" name="B_PRECIP_45" files="B" intrvl="discrete">
  <labl>Precipitation 45 months before survey start date</labl>
  <imputation>Precipitation 45 months before survey start date</imputation>
  <security>Precipitation 45 months before survey start date</security>
  <embargo>Precipitation 45 months before survey start date</embargo>
  <respUnit>Precipitation 45 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_44" name="B_PRECIP_44" files="B" intrvl="discrete">
  <labl>Precipitation 44 months before survey start date</labl>
  <imputation>Precipitation 44 months before survey start date</imputation>
  <security>Precipitation 44 months before survey start date</security>
  <embargo>Precipitation 44 months before survey start date</embargo>
  <respUnit>Precipitation 44 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_43" name="B_PRECIP_43" files="B" intrvl="discrete">
  <labl>Precipitation 43 months before survey start date</labl>
  <imputation>Precipitation 43 months before survey start date</imputation>
  <security>Precipitation 43 months before survey start date</security>
  <embargo>Precipitation 43 months before survey start date</embargo>
  <respUnit>Precipitation 43 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_42" name="B_PRECIP_42" files="B" intrvl="discrete">
  <labl>Precipitation 42 months before survey start date</labl>
  <imputation>Precipitation 42 months before survey start date</imputation>
  <security>Precipitation 42 months before survey start date</security>
  <embargo>Precipitation 42 months before survey start date</embargo>
  <respUnit>Precipitation 42 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_41" name="B_PRECIP_41" files="B" intrvl="discrete">
  <labl>Precipitation 41 months before survey start date</labl>
  <imputation>Precipitation 41 months before survey start date</imputation>
  <security>Precipitation 41 months before survey start date</security>
  <embargo>Precipitation 41 months before survey start date</embargo>
  <respUnit>Precipitation 41 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_40" name="B_PRECIP_40" files="B" intrvl="discrete">
  <labl>Precipitation 40 months before survey start date</labl>
  <imputation>Precipitation 40 months before survey start date</imputation>
  <security>Precipitation 40 months before survey start date</security>
  <embargo>Precipitation 40 months before survey start date</embargo>
  <respUnit>Precipitation 40 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_39" name="B_PRECIP_39" files="B" intrvl="discrete">
  <labl>Precipitation 39 months before survey start date</labl>
  <imputation>Precipitation 39 months before survey start date</imputation>
  <security>Precipitation 39 months before survey start date</security>
  <embargo>Precipitation 39 months before survey start date</embargo>
  <respUnit>Precipitation 39 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_38" name="B_PRECIP_38" files="B" intrvl="discrete">
  <labl>Precipitation 38 months before survey start date</labl>
  <imputation>Precipitation 38 months before survey start date</imputation>
  <security>Precipitation 38 months before survey start date</security>
  <embargo>Precipitation 38 months before survey start date</embargo>
  <respUnit>Precipitation 38 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_37" name="B_PRECIP_37" files="B" intrvl="discrete">
  <labl>Precipitation 37 months before survey start date</labl>
  <imputation>Precipitation 37 months before survey start date</imputation>
  <security>Precipitation 37 months before survey start date</security>
  <embargo>Precipitation 37 months before survey start date</embargo>
  <respUnit>Precipitation 37 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_36" name="B_PRECIP_36" files="B" intrvl="discrete">
  <labl>Precipitation 36 months before survey start date</labl>
  <imputation>Precipitation 36 months before survey start date</imputation>
  <security>Precipitation 36 months before survey start date</security>
  <embargo>Precipitation 36 months before survey start date</embargo>
  <respUnit>Precipitation 36 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_35" name="B_PRECIP_35" files="B" intrvl="discrete">
  <labl>Precipitation 35 months before survey start date</labl>
  <imputation>Precipitation 35 months before survey start date</imputation>
  <security>Precipitation 35 months before survey start date</security>
  <embargo>Precipitation 35 months before survey start date</embargo>
  <respUnit>Precipitation 35 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_34" name="B_PRECIP_34" files="B" intrvl="discrete">
  <labl>Precipitation 34 months before survey start date</labl>
  <imputation>Precipitation 34 months before survey start date</imputation>
  <security>Precipitation 34 months before survey start date</security>
  <embargo>Precipitation 34 months before survey start date</embargo>
  <respUnit>Precipitation 34 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_33" name="B_PRECIP_33" files="B" intrvl="discrete">
  <labl>Precipitation 33 months before survey start date</labl>
  <imputation>Precipitation 33 months before survey start date</imputation>
  <security>Precipitation 33 months before survey start date</security>
  <embargo>Precipitation 33 months before survey start date</embargo>
  <respUnit>Precipitation 33 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_32" name="B_PRECIP_32" files="B" intrvl="discrete">
  <labl>Precipitation 32 months before survey start date</labl>
  <imputation>Precipitation 32 months before survey start date</imputation>
  <security>Precipitation 32 months before survey start date</security>
  <embargo>Precipitation 32 months before survey start date</embargo>
  <respUnit>Precipitation 32 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_31" name="B_PRECIP_31" files="B" intrvl="discrete">
  <labl>Precipitation 31 months before survey start date</labl>
  <imputation>Precipitation 31 months before survey start date</imputation>
  <security>Precipitation 31 months before survey start date</security>
  <embargo>Precipitation 31 months before survey start date</embargo>
  <respUnit>Precipitation 31 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_30" name="B_PRECIP_30" files="B" intrvl="discrete">
  <labl>Precipitation 30 months before survey start date</labl>
  <imputation>Precipitation 30 months before survey start date</imputation>
  <security>Precipitation 30 months before survey start date</security>
  <embargo>Precipitation 30 months before survey start date</embargo>
  <respUnit>Precipitation 30 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_29" name="B_PRECIP_29" files="B" intrvl="discrete">
  <labl>Precipitation 29 months before survey start date</labl>
  <imputation>Precipitation 29 months before survey start date</imputation>
  <security>Precipitation 29 months before survey start date</security>
  <embargo>Precipitation 29 months before survey start date</embargo>
  <respUnit>Precipitation 29 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_28" name="B_PRECIP_28" files="B" intrvl="discrete">
  <labl>Precipitation 28 months before survey start date</labl>
  <imputation>Precipitation 28 months before survey start date</imputation>
  <security>Precipitation 28 months before survey start date</security>
  <embargo>Precipitation 28 months before survey start date</embargo>
  <respUnit>Precipitation 28 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_27" name="B_PRECIP_27" files="B" intrvl="discrete">
  <labl>Precipitation 27 months before survey start date</labl>
  <imputation>Precipitation 27 months before survey start date</imputation>
  <security>Precipitation 27 months before survey start date</security>
  <embargo>Precipitation 27 months before survey start date</embargo>
  <respUnit>Precipitation 27 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_26" name="B_PRECIP_26" files="B" intrvl="discrete">
  <labl>Precipitation 26 months before survey start date</labl>
  <imputation>Precipitation 26 months before survey start date</imputation>
  <security>Precipitation 26 months before survey start date</security>
  <embargo>Precipitation 26 months before survey start date</embargo>
  <respUnit>Precipitation 26 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_25" name="B_PRECIP_25" files="B" intrvl="discrete">
  <labl>Precipitation 25 months before survey start date</labl>
  <imputation>Precipitation 25 months before survey start date</imputation>
  <security>Precipitation 25 months before survey start date</security>
  <embargo>Precipitation 25 months before survey start date</embargo>
  <respUnit>Precipitation 25 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_24" name="B_PRECIP_24" files="B" intrvl="discrete">
  <labl>Precipitation 24 months before survey start date</labl>
  <imputation>Precipitation 24 months before survey start date</imputation>
  <security>Precipitation 24 months before survey start date</security>
  <embargo>Precipitation 24 months before survey start date</embargo>
  <respUnit>Precipitation 24 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_23" name="B_PRECIP_23" files="B" intrvl="discrete">
  <labl>Precipitation 23 months before survey start date</labl>
  <imputation>Precipitation 23 months before survey start date</imputation>
  <security>Precipitation 23 months before survey start date</security>
  <embargo>Precipitation 23 months before survey start date</embargo>
  <respUnit>Precipitation 23 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_22" name="B_PRECIP_22" files="B" intrvl="discrete">
  <labl>Precipitation 22 months before survey start date</labl>
  <imputation>Precipitation 22 months before survey start date</imputation>
  <security>Precipitation 22 months before survey start date</security>
  <embargo>Precipitation 22 months before survey start date</embargo>
  <respUnit>Precipitation 22 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_21" name="B_PRECIP_21" files="B" intrvl="discrete">
  <labl>Precipitation 21 months before survey start date</labl>
  <imputation>Precipitation 21 months before survey start date</imputation>
  <security>Precipitation 21 months before survey start date</security>
  <embargo>Precipitation 21 months before survey start date</embargo>
  <respUnit>Precipitation 21 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_20" name="B_PRECIP_20" files="B" intrvl="discrete">
  <labl>Precipitation 20 months before survey start date</labl>
  <imputation>Precipitation 20 months before survey start date</imputation>
  <security>Precipitation 20 months before survey start date</security>
  <embargo>Precipitation 20 months before survey start date</embargo>
  <respUnit>Precipitation 20 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_19" name="B_PRECIP_19" files="B" intrvl="discrete">
  <labl>Precipitation 19 months before survey start date</labl>
  <imputation>Precipitation 19 months before survey start date</imputation>
  <security>Precipitation 19 months before survey start date</security>
  <embargo>Precipitation 19 months before survey start date</embargo>
  <respUnit>Precipitation 19 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_18" name="B_PRECIP_18" files="B" intrvl="discrete">
  <labl>Precipitation 18 months before survey start date</labl>
  <imputation>Precipitation 18 months before survey start date</imputation>
  <security>Precipitation 18 months before survey start date</security>
  <embargo>Precipitation 18 months before survey start date</embargo>
  <respUnit>Precipitation 18 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_17" name="B_PRECIP_17" files="B" intrvl="discrete">
  <labl>Precipitation 17 months before survey start date</labl>
  <imputation>Precipitation 17 months before survey start date</imputation>
  <security>Precipitation 17 months before survey start date</security>
  <embargo>Precipitation 17 months before survey start date</embargo>
  <respUnit>Precipitation 17 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_16" name="B_PRECIP_16" files="B" intrvl="discrete">
  <labl>Precipitation 16 months before survey start date</labl>
  <imputation>Precipitation 16 months before survey start date</imputation>
  <security>Precipitation 16 months before survey start date</security>
  <embargo>Precipitation 16 months before survey start date</embargo>
  <respUnit>Precipitation 16 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_15" name="B_PRECIP_15" files="B" intrvl="discrete">
  <labl>Precipitation 15 months before survey start date</labl>
  <imputation>Precipitation 15 months before survey start date</imputation>
  <security>Precipitation 15 months before survey start date</security>
  <embargo>Precipitation 15 months before survey start date</embargo>
  <respUnit>Precipitation 15 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_14" name="B_PRECIP_14" files="B" intrvl="discrete">
  <labl>Precipitation 14 months before survey start date</labl>
  <imputation>Precipitation 14 months before survey start date</imputation>
  <security>Precipitation 14 months before survey start date</security>
  <embargo>Precipitation 14 months before survey start date</embargo>
  <respUnit>Precipitation 14 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_13" name="B_PRECIP_13" files="B" intrvl="discrete">
  <labl>Precipitation 13 months before survey start date</labl>
  <imputation>Precipitation 13 months before survey start date</imputation>
  <security>Precipitation 13 months before survey start date</security>
  <embargo>Precipitation 13 months before survey start date</embargo>
  <respUnit>Precipitation 13 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_12" name="B_PRECIP_12" files="B" intrvl="discrete">
  <labl>Precipitation 12 months before survey start date</labl>
  <imputation>Precipitation 12 months before survey start date</imputation>
  <security>Precipitation 12 months before survey start date</security>
  <embargo>Precipitation 12 months before survey start date</embargo>
  <respUnit>Precipitation 12 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_11" name="B_PRECIP_11" files="B" intrvl="discrete">
  <labl>Precipitation 11 months before survey start date</labl>
  <imputation>Precipitation 11 months before survey start date</imputation>
  <security>Precipitation 11 months before survey start date</security>
  <embargo>Precipitation 11 months before survey start date</embargo>
  <respUnit>Precipitation 11 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_10" name="B_PRECIP_10" files="B" intrvl="discrete">
  <labl>Precipitation 10 months before survey start date</labl>
  <imputation>Precipitation 10 months before survey start date</imputation>
  <security>Precipitation 10 months before survey start date</security>
  <embargo>Precipitation 10 months before survey start date</embargo>
  <respUnit>Precipitation 10 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_09" name="B_PRECIP_09" files="B" intrvl="discrete">
  <labl>Precipitation 9 months before survey start date</labl>
  <imputation>Precipitation 9 months before survey start date</imputation>
  <security>Precipitation 9 months before survey start date</security>
  <embargo>Precipitation 9 months before survey start date</embargo>
  <respUnit>Precipitation 9 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_08" name="B_PRECIP_08" files="B" intrvl="discrete">
  <labl>Precipitation 8 months before survey start date</labl>
  <imputation>Precipitation 8 months before survey start date</imputation>
  <security>Precipitation 8 months before survey start date</security>
  <embargo>Precipitation 8 months before survey start date</embargo>
  <respUnit>Precipitation 8 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_07" name="B_PRECIP_07" files="B" intrvl="discrete">
  <labl>Precipitation 7 months before survey start date</labl>
  <imputation>Precipitation 7 months before survey start date</imputation>
  <security>Precipitation 7 months before survey start date</security>
  <embargo>Precipitation 7 months before survey start date</embargo>
  <respUnit>Precipitation 7 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_06" name="B_PRECIP_06" files="B" intrvl="discrete">
  <labl>Precipitation 6 months before survey start date</labl>
  <imputation>Precipitation 6 months before survey start date</imputation>
  <security>Precipitation 6 months before survey start date</security>
  <embargo>Precipitation 6 months before survey start date</embargo>
  <respUnit>Precipitation 6 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_05" name="B_PRECIP_05" files="B" intrvl="discrete">
  <labl>Precipitation 5 months before survey start date</labl>
  <imputation>Precipitation 5 months before survey start date</imputation>
  <security>Precipitation 5 months before survey start date</security>
  <embargo>Precipitation 5 months before survey start date</embargo>
  <respUnit>Precipitation 5 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_04" name="B_PRECIP_04" files="B" intrvl="discrete">
  <labl>Precipitation 4 months before survey start date</labl>
  <imputation>Precipitation 4 months before survey start date</imputation>
  <security>Precipitation 4 months before survey start date</security>
  <embargo>Precipitation 4 months before survey start date</embargo>
  <respUnit>Precipitation 4 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_03" name="B_PRECIP_03" files="B" intrvl="discrete">
  <labl>Precipitation 3 months before survey start date</labl>
  <imputation>Precipitation 3 months before survey start date</imputation>
  <security>Precipitation 3 months before survey start date</security>
  <embargo>Precipitation 3 months before survey start date</embargo>
  <respUnit>Precipitation 3 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_02" name="B_PRECIP_02" files="B" intrvl="discrete">
  <labl>Precipitation 2 months before survey start date</labl>
  <imputation>Precipitation 2 months before survey start date</imputation>
  <security>Precipitation 2 months before survey start date</security>
  <embargo>Precipitation 2 months before survey start date</embargo>
  <respUnit>Precipitation 2 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_01" name="B_PRECIP_01" files="B" intrvl="discrete">
  <labl>Precipitation 1 month before survey start date</labl>
  <imputation>Precipitation 1 month before survey start date</imputation>
  <security>Precipitation 1 month before survey start date</security>
  <embargo>Precipitation 1 month before survey start date</embargo>
  <respUnit>Precipitation 1 month before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_00" name="B_PRECIP_00" files="B" intrvl="discrete">
  <labl>Precipitation month of survey start date</labl>
  <imputation>Precipitation month of survey start date</imputation>
  <security>Precipitation month of survey start date</security>
  <embargo>Precipitation month of survey start date</embargo>
  <respUnit>Precipitation month of survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_A01" name="B_PRECIP_A01" files="B" intrvl="discrete">
  <labl>Precipitation 1 month after survey start date</labl>
  <imputation>Precipitation 1 month after survey start date</imputation>
  <security>Precipitation 1 month after survey start date</security>
  <embargo>Precipitation 1 month after survey start date</embargo>
  <respUnit>Precipitation 1 month after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_A02" name="B_PRECIP_A02" files="B" intrvl="discrete">
  <labl>Precipitation 2 months after survey start date</labl>
  <imputation>Precipitation 2 months after survey start date</imputation>
  <security>Precipitation 2 months after survey start date</security>
  <embargo>Precipitation 2 months after survey start date</embargo>
  <respUnit>Precipitation 2 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_A03" name="B_PRECIP_A03" files="B" intrvl="discrete">
  <labl>Precipitation 3 months after survey start date</labl>
  <imputation>Precipitation 3 months after survey start date</imputation>
  <security>Precipitation 3 months after survey start date</security>
  <embargo>Precipitation 3 months after survey start date</embargo>
  <respUnit>Precipitation 3 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_A04" name="B_PRECIP_A04" files="B" intrvl="discrete">
  <labl>Precipitation 4 months after survey start date</labl>
  <imputation>Precipitation 4 months after survey start date</imputation>
  <security>Precipitation 4 months after survey start date</security>
  <embargo>Precipitation 4 months after survey start date</embargo>
  <respUnit>Precipitation 4 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_A05" name="B_PRECIP_A05" files="B" intrvl="discrete">
  <labl>Precipitation 5 months after survey start date</labl>
  <imputation>Precipitation 5 months after survey start date</imputation>
  <security>Precipitation 5 months after survey start date</security>
  <embargo>Precipitation 5 months after survey start date</embargo>
  <respUnit>Precipitation 5 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_A06" name="B_PRECIP_A06" files="B" intrvl="discrete">
  <labl>Precipitation 6 months after survey start date</labl>
  <imputation>Precipitation 6 months after survey start date</imputation>
  <security>Precipitation 6 months after survey start date</security>
  <embargo>Precipitation 6 months after survey start date</embargo>
  <respUnit>Precipitation 6 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_A07" name="B_PRECIP_A07" files="B" intrvl="discrete">
  <labl>Precipitation 7 months after survey start date</labl>
  <imputation>Precipitation 7 months after survey start date</imputation>
  <security>Precipitation 7 months after survey start date</security>
  <embargo>Precipitation 7 months after survey start date</embargo>
  <respUnit>Precipitation 7 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_A08" name="B_PRECIP_A08" files="B" intrvl="discrete">
  <labl>Precipitation 8 months after survey start date</labl>
  <imputation>Precipitation 8 months after survey start date</imputation>
  <security>Precipitation 8 months after survey start date</security>
  <embargo>Precipitation 8 months after survey start date</embargo>
  <respUnit>Precipitation 8 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_A09" name="B_PRECIP_A09" files="B" intrvl="discrete">
  <labl>Precipitation 9 months after survey start date</labl>
  <imputation>Precipitation 9 months after survey start date</imputation>
  <security>Precipitation 9 months after survey start date</security>
  <embargo>Precipitation 9 months after survey start date</embargo>
  <respUnit>Precipitation 9 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_A10" name="B_PRECIP_A10" files="B" intrvl="discrete">
  <labl>Precipitation 10 months after survey start date</labl>
  <imputation>Precipitation 10 months after survey start date</imputation>
  <security>Precipitation 10 months after survey start date</security>
  <embargo>Precipitation 10 months after survey start date</embargo>
  <respUnit>Precipitation 10 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_PRECIP_A11" name="B_PRECIP_A11" files="B" intrvl="discrete">
  <labl>Precipitation 11 months after survey start date</labl>
  <imputation>Precipitation 11 months after survey start date</imputation>
  <security>Precipitation 11 months after survey start date</security>
  <embargo>Precipitation 11 months after survey start date</embargo>
  <respUnit>Precipitation 11 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN" name="B_TEMPMIN" files="B" intrvl="discrete">
  <labl>Average minimum monthly temperature</labl>
  <imputation>Average minimum monthly temperature</imputation>
  <security>Average minimum monthly temperature</security>
  <embargo>Average minimum monthly temperature</embargo>
  <respUnit>Average minimum monthly temperature</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>TEMPMAX available</labl>
  </catgry>
  <txt>TEMPMIN consists of a set of 72 separate variables reporting minimum monthly temperatures. These variables report the average minimum temperature in kelvin scale, within a 10-kilometer circular buffer around each DHS cluster location, for the 60 individual months prior to the survey start date, the month of the survey start date, and the 11 individual months following the survey start date. Note that "average" minimum temperature here refers to averaging the minimum temperature values for the various subareas included in the buffer zone.
 
By adding TEMPMIN to your data cart, you are in effect adding 72 separate variables for:

the 60 individual months prior to the survey start date, denoted by the number of months prior to the survey start date (e.g., TEMPMIN_01 is the average minimum temperature in the month before the survey start date; TEMPMIN _60 is the average minimum temperature in the 60th month before the survey start date)
the month of the survey start date (TEMPMIN _00)
the 11 individual months following the month of the survey start date, denoted by the number of months following the month of the survey start date (e.g., TEMPMIN_A01 is the average minimum temperature in the month following the month of the survey start date)
 

The full set of monthly temperature data, from January 1980 through December 2016, is available on the IPUMS-DHS contextual variables downloads [URL omitted from DDI.] page. Users can merge the temperature data, available in csv format, with their IPUMS-DHS data extract to create average or total precipitation variables (e.g., average minimum January temperature), for the time frame suited to their research question.

For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_60" name="B_TEMPMIN_60" files="B" intrvl="discrete">
  <labl>Average minimum temperature 60 months before survey start date</labl>
  <imputation>Average minimum temperature 60 months before survey start date</imputation>
  <security>Average minimum temperature 60 months before survey start date</security>
  <embargo>Average minimum temperature 60 months before survey start date</embargo>
  <respUnit>Average minimum temperature 60 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_59" name="B_TEMPMIN_59" files="B" intrvl="discrete">
  <labl>Average minimum temperature 59 months before survey start date</labl>
  <imputation>Average minimum temperature 59 months before survey start date</imputation>
  <security>Average minimum temperature 59 months before survey start date</security>
  <embargo>Average minimum temperature 59 months before survey start date</embargo>
  <respUnit>Average minimum temperature 59 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_58" name="B_TEMPMIN_58" files="B" intrvl="discrete">
  <labl>Average minimum temperature 58 months before survey start date</labl>
  <imputation>Average minimum temperature 58 months before survey start date</imputation>
  <security>Average minimum temperature 58 months before survey start date</security>
  <embargo>Average minimum temperature 58 months before survey start date</embargo>
  <respUnit>Average minimum temperature 58 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_57" name="B_TEMPMIN_57" files="B" intrvl="discrete">
  <labl>Average minimum temperature 57 months before survey start date</labl>
  <imputation>Average minimum temperature 57 months before survey start date</imputation>
  <security>Average minimum temperature 57 months before survey start date</security>
  <embargo>Average minimum temperature 57 months before survey start date</embargo>
  <respUnit>Average minimum temperature 57 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_56" name="B_TEMPMIN_56" files="B" intrvl="discrete">
  <labl>Average minimum temperature 56 months before survey start date</labl>
  <imputation>Average minimum temperature 56 months before survey start date</imputation>
  <security>Average minimum temperature 56 months before survey start date</security>
  <embargo>Average minimum temperature 56 months before survey start date</embargo>
  <respUnit>Average minimum temperature 56 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_55" name="B_TEMPMIN_55" files="B" intrvl="discrete">
  <labl>Average minimum temperature 55 months before survey start date</labl>
  <imputation>Average minimum temperature 55 months before survey start date</imputation>
  <security>Average minimum temperature 55 months before survey start date</security>
  <embargo>Average minimum temperature 55 months before survey start date</embargo>
  <respUnit>Average minimum temperature 55 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_54" name="B_TEMPMIN_54" files="B" intrvl="discrete">
  <labl>Average minimum temperature 54 months before survey start date</labl>
  <imputation>Average minimum temperature 54 months before survey start date</imputation>
  <security>Average minimum temperature 54 months before survey start date</security>
  <embargo>Average minimum temperature 54 months before survey start date</embargo>
  <respUnit>Average minimum temperature 54 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_53" name="B_TEMPMIN_53" files="B" intrvl="discrete">
  <labl>Average minimum temperature 53 months before survey start date</labl>
  <imputation>Average minimum temperature 53 months before survey start date</imputation>
  <security>Average minimum temperature 53 months before survey start date</security>
  <embargo>Average minimum temperature 53 months before survey start date</embargo>
  <respUnit>Average minimum temperature 53 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_52" name="B_TEMPMIN_52" files="B" intrvl="discrete">
  <labl>Average minimum temperature 52 months before survey start date</labl>
  <imputation>Average minimum temperature 52 months before survey start date</imputation>
  <security>Average minimum temperature 52 months before survey start date</security>
  <embargo>Average minimum temperature 52 months before survey start date</embargo>
  <respUnit>Average minimum temperature 52 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_51" name="B_TEMPMIN_51" files="B" intrvl="discrete">
  <labl>Average minimum temperature 51 months before survey start date</labl>
  <imputation>Average minimum temperature 51 months before survey start date</imputation>
  <security>Average minimum temperature 51 months before survey start date</security>
  <embargo>Average minimum temperature 51 months before survey start date</embargo>
  <respUnit>Average minimum temperature 51 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_50" name="B_TEMPMIN_50" files="B" intrvl="discrete">
  <labl>Average minimum temperature 50 months before survey start date</labl>
  <imputation>Average minimum temperature 50 months before survey start date</imputation>
  <security>Average minimum temperature 50 months before survey start date</security>
  <embargo>Average minimum temperature 50 months before survey start date</embargo>
  <respUnit>Average minimum temperature 50 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_49" name="B_TEMPMIN_49" files="B" intrvl="discrete">
  <labl>Average minimum temperature 49 months before survey start date</labl>
  <imputation>Average minimum temperature 49 months before survey start date</imputation>
  <security>Average minimum temperature 49 months before survey start date</security>
  <embargo>Average minimum temperature 49 months before survey start date</embargo>
  <respUnit>Average minimum temperature 49 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_48" name="B_TEMPMIN_48" files="B" intrvl="discrete">
  <labl>Average minimum temperature 48 months before survey start date</labl>
  <imputation>Average minimum temperature 48 months before survey start date</imputation>
  <security>Average minimum temperature 48 months before survey start date</security>
  <embargo>Average minimum temperature 48 months before survey start date</embargo>
  <respUnit>Average minimum temperature 48 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_47" name="B_TEMPMIN_47" files="B" intrvl="discrete">
  <labl>Average minimum temperature 47 months before survey start date</labl>
  <imputation>Average minimum temperature 47 months before survey start date</imputation>
  <security>Average minimum temperature 47 months before survey start date</security>
  <embargo>Average minimum temperature 47 months before survey start date</embargo>
  <respUnit>Average minimum temperature 47 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_46" name="B_TEMPMIN_46" files="B" intrvl="discrete">
  <labl>Average minimum temperature 46 months before survey start date</labl>
  <imputation>Average minimum temperature 46 months before survey start date</imputation>
  <security>Average minimum temperature 46 months before survey start date</security>
  <embargo>Average minimum temperature 46 months before survey start date</embargo>
  <respUnit>Average minimum temperature 46 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_45" name="B_TEMPMIN_45" files="B" intrvl="discrete">
  <labl>Average minimum temperature 45 months before survey start date</labl>
  <imputation>Average minimum temperature 45 months before survey start date</imputation>
  <security>Average minimum temperature 45 months before survey start date</security>
  <embargo>Average minimum temperature 45 months before survey start date</embargo>
  <respUnit>Average minimum temperature 45 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_44" name="B_TEMPMIN_44" files="B" intrvl="discrete">
  <labl>Average minimum temperature 44 months before survey start date</labl>
  <imputation>Average minimum temperature 44 months before survey start date</imputation>
  <security>Average minimum temperature 44 months before survey start date</security>
  <embargo>Average minimum temperature 44 months before survey start date</embargo>
  <respUnit>Average minimum temperature 44 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_43" name="B_TEMPMIN_43" files="B" intrvl="discrete">
  <labl>Average minimum temperature 43 months before survey start date</labl>
  <imputation>Average minimum temperature 43 months before survey start date</imputation>
  <security>Average minimum temperature 43 months before survey start date</security>
  <embargo>Average minimum temperature 43 months before survey start date</embargo>
  <respUnit>Average minimum temperature 43 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_42" name="B_TEMPMIN_42" files="B" intrvl="discrete">
  <labl>Average minimum temperature 42 months before survey start date</labl>
  <imputation>Average minimum temperature 42 months before survey start date</imputation>
  <security>Average minimum temperature 42 months before survey start date</security>
  <embargo>Average minimum temperature 42 months before survey start date</embargo>
  <respUnit>Average minimum temperature 42 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_41" name="B_TEMPMIN_41" files="B" intrvl="discrete">
  <labl>Average minimum temperature 41 months before survey start date</labl>
  <imputation>Average minimum temperature 41 months before survey start date</imputation>
  <security>Average minimum temperature 41 months before survey start date</security>
  <embargo>Average minimum temperature 41 months before survey start date</embargo>
  <respUnit>Average minimum temperature 41 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_40" name="B_TEMPMIN_40" files="B" intrvl="discrete">
  <labl>Average minimum temperature 40 months before survey start date</labl>
  <imputation>Average minimum temperature 40 months before survey start date</imputation>
  <security>Average minimum temperature 40 months before survey start date</security>
  <embargo>Average minimum temperature 40 months before survey start date</embargo>
  <respUnit>Average minimum temperature 40 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_39" name="B_TEMPMIN_39" files="B" intrvl="discrete">
  <labl>Average minimum temperature 39 months before survey start date</labl>
  <imputation>Average minimum temperature 39 months before survey start date</imputation>
  <security>Average minimum temperature 39 months before survey start date</security>
  <embargo>Average minimum temperature 39 months before survey start date</embargo>
  <respUnit>Average minimum temperature 39 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_38" name="B_TEMPMIN_38" files="B" intrvl="discrete">
  <labl>Average minimum temperature 38 months before survey start date</labl>
  <imputation>Average minimum temperature 38 months before survey start date</imputation>
  <security>Average minimum temperature 38 months before survey start date</security>
  <embargo>Average minimum temperature 38 months before survey start date</embargo>
  <respUnit>Average minimum temperature 38 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_37" name="B_TEMPMIN_37" files="B" intrvl="discrete">
  <labl>Average minimum temperature 37 months before survey start date</labl>
  <imputation>Average minimum temperature 37 months before survey start date</imputation>
  <security>Average minimum temperature 37 months before survey start date</security>
  <embargo>Average minimum temperature 37 months before survey start date</embargo>
  <respUnit>Average minimum temperature 37 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_36" name="B_TEMPMIN_36" files="B" intrvl="discrete">
  <labl>Average minimum temperature 36 months before survey start date</labl>
  <imputation>Average minimum temperature 36 months before survey start date</imputation>
  <security>Average minimum temperature 36 months before survey start date</security>
  <embargo>Average minimum temperature 36 months before survey start date</embargo>
  <respUnit>Average minimum temperature 36 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_35" name="B_TEMPMIN_35" files="B" intrvl="discrete">
  <labl>Average minimum temperature 35 months before survey start date</labl>
  <imputation>Average minimum temperature 35 months before survey start date</imputation>
  <security>Average minimum temperature 35 months before survey start date</security>
  <embargo>Average minimum temperature 35 months before survey start date</embargo>
  <respUnit>Average minimum temperature 35 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_34" name="B_TEMPMIN_34" files="B" intrvl="discrete">
  <labl>Average minimum temperature 34 months before survey start date</labl>
  <imputation>Average minimum temperature 34 months before survey start date</imputation>
  <security>Average minimum temperature 34 months before survey start date</security>
  <embargo>Average minimum temperature 34 months before survey start date</embargo>
  <respUnit>Average minimum temperature 34 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_33" name="B_TEMPMIN_33" files="B" intrvl="discrete">
  <labl>Average minimum temperature 33 months before survey start date</labl>
  <imputation>Average minimum temperature 33 months before survey start date</imputation>
  <security>Average minimum temperature 33 months before survey start date</security>
  <embargo>Average minimum temperature 33 months before survey start date</embargo>
  <respUnit>Average minimum temperature 33 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_32" name="B_TEMPMIN_32" files="B" intrvl="discrete">
  <labl>Average minimum temperature 32 months before survey start date</labl>
  <imputation>Average minimum temperature 32 months before survey start date</imputation>
  <security>Average minimum temperature 32 months before survey start date</security>
  <embargo>Average minimum temperature 32 months before survey start date</embargo>
  <respUnit>Average minimum temperature 32 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_31" name="B_TEMPMIN_31" files="B" intrvl="discrete">
  <labl>Average minimum temperature 31 months before survey start date</labl>
  <imputation>Average minimum temperature 31 months before survey start date</imputation>
  <security>Average minimum temperature 31 months before survey start date</security>
  <embargo>Average minimum temperature 31 months before survey start date</embargo>
  <respUnit>Average minimum temperature 31 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_30" name="B_TEMPMIN_30" files="B" intrvl="discrete">
  <labl>Average minimum temperature 30 months before survey start date</labl>
  <imputation>Average minimum temperature 30 months before survey start date</imputation>
  <security>Average minimum temperature 30 months before survey start date</security>
  <embargo>Average minimum temperature 30 months before survey start date</embargo>
  <respUnit>Average minimum temperature 30 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_29" name="B_TEMPMIN_29" files="B" intrvl="discrete">
  <labl>Average minimum temperature 29 months before survey start date</labl>
  <imputation>Average minimum temperature 29 months before survey start date</imputation>
  <security>Average minimum temperature 29 months before survey start date</security>
  <embargo>Average minimum temperature 29 months before survey start date</embargo>
  <respUnit>Average minimum temperature 29 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_28" name="B_TEMPMIN_28" files="B" intrvl="discrete">
  <labl>Average minimum temperature 28 months before survey start date</labl>
  <imputation>Average minimum temperature 28 months before survey start date</imputation>
  <security>Average minimum temperature 28 months before survey start date</security>
  <embargo>Average minimum temperature 28 months before survey start date</embargo>
  <respUnit>Average minimum temperature 28 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_27" name="B_TEMPMIN_27" files="B" intrvl="discrete">
  <labl>Average minimum temperature 27 months before survey start date</labl>
  <imputation>Average minimum temperature 27 months before survey start date</imputation>
  <security>Average minimum temperature 27 months before survey start date</security>
  <embargo>Average minimum temperature 27 months before survey start date</embargo>
  <respUnit>Average minimum temperature 27 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_26" name="B_TEMPMIN_26" files="B" intrvl="discrete">
  <labl>Average minimum temperature 26 months before survey start date</labl>
  <imputation>Average minimum temperature 26 months before survey start date</imputation>
  <security>Average minimum temperature 26 months before survey start date</security>
  <embargo>Average minimum temperature 26 months before survey start date</embargo>
  <respUnit>Average minimum temperature 26 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_25" name="B_TEMPMIN_25" files="B" intrvl="discrete">
  <labl>Average minimum temperature 25 months before survey start date</labl>
  <imputation>Average minimum temperature 25 months before survey start date</imputation>
  <security>Average minimum temperature 25 months before survey start date</security>
  <embargo>Average minimum temperature 25 months before survey start date</embargo>
  <respUnit>Average minimum temperature 25 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_24" name="B_TEMPMIN_24" files="B" intrvl="discrete">
  <labl>Average minimum temperature 24 months before survey start date</labl>
  <imputation>Average minimum temperature 24 months before survey start date</imputation>
  <security>Average minimum temperature 24 months before survey start date</security>
  <embargo>Average minimum temperature 24 months before survey start date</embargo>
  <respUnit>Average minimum temperature 24 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_23" name="B_TEMPMIN_23" files="B" intrvl="discrete">
  <labl>Average minimum temperature 23 months before survey start date</labl>
  <imputation>Average minimum temperature 23 months before survey start date</imputation>
  <security>Average minimum temperature 23 months before survey start date</security>
  <embargo>Average minimum temperature 23 months before survey start date</embargo>
  <respUnit>Average minimum temperature 23 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_22" name="B_TEMPMIN_22" files="B" intrvl="discrete">
  <labl>Average minimum temperature 22 months before survey start date</labl>
  <imputation>Average minimum temperature 22 months before survey start date</imputation>
  <security>Average minimum temperature 22 months before survey start date</security>
  <embargo>Average minimum temperature 22 months before survey start date</embargo>
  <respUnit>Average minimum temperature 22 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_21" name="B_TEMPMIN_21" files="B" intrvl="discrete">
  <labl>Average minimum temperature 21 months before survey start date</labl>
  <imputation>Average minimum temperature 21 months before survey start date</imputation>
  <security>Average minimum temperature 21 months before survey start date</security>
  <embargo>Average minimum temperature 21 months before survey start date</embargo>
  <respUnit>Average minimum temperature 21 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_20" name="B_TEMPMIN_20" files="B" intrvl="discrete">
  <labl>Average minimum temperature 20 months before survey start date</labl>
  <imputation>Average minimum temperature 20 months before survey start date</imputation>
  <security>Average minimum temperature 20 months before survey start date</security>
  <embargo>Average minimum temperature 20 months before survey start date</embargo>
  <respUnit>Average minimum temperature 20 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_19" name="B_TEMPMIN_19" files="B" intrvl="discrete">
  <labl>Average minimum temperature 19 months before survey start date</labl>
  <imputation>Average minimum temperature 19 months before survey start date</imputation>
  <security>Average minimum temperature 19 months before survey start date</security>
  <embargo>Average minimum temperature 19 months before survey start date</embargo>
  <respUnit>Average minimum temperature 19 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_18" name="B_TEMPMIN_18" files="B" intrvl="discrete">
  <labl>Average minimum temperature 18 months before survey start date</labl>
  <imputation>Average minimum temperature 18 months before survey start date</imputation>
  <security>Average minimum temperature 18 months before survey start date</security>
  <embargo>Average minimum temperature 18 months before survey start date</embargo>
  <respUnit>Average minimum temperature 18 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_17" name="B_TEMPMIN_17" files="B" intrvl="discrete">
  <labl>Average minimum temperature 17 months before survey start date</labl>
  <imputation>Average minimum temperature 17 months before survey start date</imputation>
  <security>Average minimum temperature 17 months before survey start date</security>
  <embargo>Average minimum temperature 17 months before survey start date</embargo>
  <respUnit>Average minimum temperature 17 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_16" name="B_TEMPMIN_16" files="B" intrvl="discrete">
  <labl>Average minimum temperature 16 months before survey start date</labl>
  <imputation>Average minimum temperature 16 months before survey start date</imputation>
  <security>Average minimum temperature 16 months before survey start date</security>
  <embargo>Average minimum temperature 16 months before survey start date</embargo>
  <respUnit>Average minimum temperature 16 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_15" name="B_TEMPMIN_15" files="B" intrvl="discrete">
  <labl>Average minimum temperature 15 months before survey start date</labl>
  <imputation>Average minimum temperature 15 months before survey start date</imputation>
  <security>Average minimum temperature 15 months before survey start date</security>
  <embargo>Average minimum temperature 15 months before survey start date</embargo>
  <respUnit>Average minimum temperature 15 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_14" name="B_TEMPMIN_14" files="B" intrvl="discrete">
  <labl>Average minimum temperature 14 months before survey start date</labl>
  <imputation>Average minimum temperature 14 months before survey start date</imputation>
  <security>Average minimum temperature 14 months before survey start date</security>
  <embargo>Average minimum temperature 14 months before survey start date</embargo>
  <respUnit>Average minimum temperature 14 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_13" name="B_TEMPMIN_13" files="B" intrvl="discrete">
  <labl>Average minimum temperature 13 months before survey start date</labl>
  <imputation>Average minimum temperature 13 months before survey start date</imputation>
  <security>Average minimum temperature 13 months before survey start date</security>
  <embargo>Average minimum temperature 13 months before survey start date</embargo>
  <respUnit>Average minimum temperature 13 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_12" name="B_TEMPMIN_12" files="B" intrvl="discrete">
  <labl>Average minimum temperature 12 months before survey start date</labl>
  <imputation>Average minimum temperature 12 months before survey start date</imputation>
  <security>Average minimum temperature 12 months before survey start date</security>
  <embargo>Average minimum temperature 12 months before survey start date</embargo>
  <respUnit>Average minimum temperature 12 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_11" name="B_TEMPMIN_11" files="B" intrvl="discrete">
  <labl>Average minimum temperature 11 months before survey start date</labl>
  <imputation>Average minimum temperature 11 months before survey start date</imputation>
  <security>Average minimum temperature 11 months before survey start date</security>
  <embargo>Average minimum temperature 11 months before survey start date</embargo>
  <respUnit>Average minimum temperature 11 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_10" name="B_TEMPMIN_10" files="B" intrvl="discrete">
  <labl>Average minimum temperature 10 months before survey start date</labl>
  <imputation>Average minimum temperature 10 months before survey start date</imputation>
  <security>Average minimum temperature 10 months before survey start date</security>
  <embargo>Average minimum temperature 10 months before survey start date</embargo>
  <respUnit>Average minimum temperature 10 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_09" name="B_TEMPMIN_09" files="B" intrvl="discrete">
  <labl>Average minimum temperature 9 months before survey start date</labl>
  <imputation>Average minimum temperature 9 months before survey start date</imputation>
  <security>Average minimum temperature 9 months before survey start date</security>
  <embargo>Average minimum temperature 9 months before survey start date</embargo>
  <respUnit>Average minimum temperature 9 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_08" name="B_TEMPMIN_08" files="B" intrvl="discrete">
  <labl>Average minimum temperature 8 months before survey start date</labl>
  <imputation>Average minimum temperature 8 months before survey start date</imputation>
  <security>Average minimum temperature 8 months before survey start date</security>
  <embargo>Average minimum temperature 8 months before survey start date</embargo>
  <respUnit>Average minimum temperature 8 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_07" name="B_TEMPMIN_07" files="B" intrvl="discrete">
  <labl>Average minimum temperature 7 months before survey start date</labl>
  <imputation>Average minimum temperature 7 months before survey start date</imputation>
  <security>Average minimum temperature 7 months before survey start date</security>
  <embargo>Average minimum temperature 7 months before survey start date</embargo>
  <respUnit>Average minimum temperature 7 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_06" name="B_TEMPMIN_06" files="B" intrvl="discrete">
  <labl>Average minimum temperature 6 months before survey start date</labl>
  <imputation>Average minimum temperature 6 months before survey start date</imputation>
  <security>Average minimum temperature 6 months before survey start date</security>
  <embargo>Average minimum temperature 6 months before survey start date</embargo>
  <respUnit>Average minimum temperature 6 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_05" name="B_TEMPMIN_05" files="B" intrvl="discrete">
  <labl>Average minimum temperature 5 months before survey start date</labl>
  <imputation>Average minimum temperature 5 months before survey start date</imputation>
  <security>Average minimum temperature 5 months before survey start date</security>
  <embargo>Average minimum temperature 5 months before survey start date</embargo>
  <respUnit>Average minimum temperature 5 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_04" name="B_TEMPMIN_04" files="B" intrvl="discrete">
  <labl>Average minimum temperature 4 months before survey start date</labl>
  <imputation>Average minimum temperature 4 months before survey start date</imputation>
  <security>Average minimum temperature 4 months before survey start date</security>
  <embargo>Average minimum temperature 4 months before survey start date</embargo>
  <respUnit>Average minimum temperature 4 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_03" name="B_TEMPMIN_03" files="B" intrvl="discrete">
  <labl>Average minimum temperature 3 months before survey start date</labl>
  <imputation>Average minimum temperature 3 months before survey start date</imputation>
  <security>Average minimum temperature 3 months before survey start date</security>
  <embargo>Average minimum temperature 3 months before survey start date</embargo>
  <respUnit>Average minimum temperature 3 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_02" name="B_TEMPMIN_02" files="B" intrvl="discrete">
  <labl>Average minimum temperature 2 months before survey start date</labl>
  <imputation>Average minimum temperature 2 months before survey start date</imputation>
  <security>Average minimum temperature 2 months before survey start date</security>
  <embargo>Average minimum temperature 2 months before survey start date</embargo>
  <respUnit>Average minimum temperature 2 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_01" name="B_TEMPMIN_01" files="B" intrvl="discrete">
  <labl>Average minimum temperature 1 month before survey start date</labl>
  <imputation>Average minimum temperature 1 month before survey start date</imputation>
  <security>Average minimum temperature 1 month before survey start date</security>
  <embargo>Average minimum temperature 1 month before survey start date</embargo>
  <respUnit>Average minimum temperature 1 month before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_00" name="B_TEMPMIN_00" files="B" intrvl="discrete">
  <labl>Average minimum temperature month of survey start date</labl>
  <imputation>Average minimum temperature month of survey start date</imputation>
  <security>Average minimum temperature month of survey start date</security>
  <embargo>Average minimum temperature month of survey start date</embargo>
  <respUnit>Average minimum temperature month of survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_A01" name="B_TEMPMIN_A01" files="B" intrvl="discrete">
  <labl>Average minimum temperature 1 month after survey start date</labl>
  <imputation>Average minimum temperature 1 month after survey start date</imputation>
  <security>Average minimum temperature 1 month after survey start date</security>
  <embargo>Average minimum temperature 1 month after survey start date</embargo>
  <respUnit>Average minimum temperature 1 month after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_A02" name="B_TEMPMIN_A02" files="B" intrvl="discrete">
  <labl>Average minimum temperature 2 months after survey start date</labl>
  <imputation>Average minimum temperature 2 months after survey start date</imputation>
  <security>Average minimum temperature 2 months after survey start date</security>
  <embargo>Average minimum temperature 2 months after survey start date</embargo>
  <respUnit>Average minimum temperature 2 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_A03" name="B_TEMPMIN_A03" files="B" intrvl="discrete">
  <labl>Average minimum temperature 3 months after survey start date</labl>
  <imputation>Average minimum temperature 3 months after survey start date</imputation>
  <security>Average minimum temperature 3 months after survey start date</security>
  <embargo>Average minimum temperature 3 months after survey start date</embargo>
  <respUnit>Average minimum temperature 3 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_A04" name="B_TEMPMIN_A04" files="B" intrvl="discrete">
  <labl>Average minimum temperature 4 months after survey start date</labl>
  <imputation>Average minimum temperature 4 months after survey start date</imputation>
  <security>Average minimum temperature 4 months after survey start date</security>
  <embargo>Average minimum temperature 4 months after survey start date</embargo>
  <respUnit>Average minimum temperature 4 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_A05" name="B_TEMPMIN_A05" files="B" intrvl="discrete">
  <labl>Average minimum temperature 5 months after survey start date</labl>
  <imputation>Average minimum temperature 5 months after survey start date</imputation>
  <security>Average minimum temperature 5 months after survey start date</security>
  <embargo>Average minimum temperature 5 months after survey start date</embargo>
  <respUnit>Average minimum temperature 5 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_A06" name="B_TEMPMIN_A06" files="B" intrvl="discrete">
  <labl>Average minimum temperature 6 months after survey start date</labl>
  <imputation>Average minimum temperature 6 months after survey start date</imputation>
  <security>Average minimum temperature 6 months after survey start date</security>
  <embargo>Average minimum temperature 6 months after survey start date</embargo>
  <respUnit>Average minimum temperature 6 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_A07" name="B_TEMPMIN_A07" files="B" intrvl="discrete">
  <labl>Average minimum temperature 7 months after survey start date</labl>
  <imputation>Average minimum temperature 7 months after survey start date</imputation>
  <security>Average minimum temperature 7 months after survey start date</security>
  <embargo>Average minimum temperature 7 months after survey start date</embargo>
  <respUnit>Average minimum temperature 7 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_A08" name="B_TEMPMIN_A08" files="B" intrvl="discrete">
  <labl>Average minimum temperature 8 months after survey start date</labl>
  <imputation>Average minimum temperature 8 months after survey start date</imputation>
  <security>Average minimum temperature 8 months after survey start date</security>
  <embargo>Average minimum temperature 8 months after survey start date</embargo>
  <respUnit>Average minimum temperature 8 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_A09" name="B_TEMPMIN_A09" files="B" intrvl="discrete">
  <labl>Average minimum temperature 9 months after survey start date</labl>
  <imputation>Average minimum temperature 9 months after survey start date</imputation>
  <security>Average minimum temperature 9 months after survey start date</security>
  <embargo>Average minimum temperature 9 months after survey start date</embargo>
  <respUnit>Average minimum temperature 9 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_A10" name="B_TEMPMIN_A10" files="B" intrvl="discrete">
  <labl>Average minimum temperature 10 months after survey start date</labl>
  <imputation>Average minimum temperature 10 months after survey start date</imputation>
  <security>Average minimum temperature 10 months after survey start date</security>
  <embargo>Average minimum temperature 10 months after survey start date</embargo>
  <respUnit>Average minimum temperature 10 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMIN_A11" name="B_TEMPMIN_A11" files="B" intrvl="discrete">
  <labl>Average minimum temperature 11 months after survey start date</labl>
  <imputation>Average minimum temperature 11 months after survey start date</imputation>
  <security>Average minimum temperature 11 months after survey start date</security>
  <embargo>Average minimum temperature 11 months after survey start date</embargo>
  <respUnit>Average minimum temperature 11 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX" name="B_TEMPMAX" files="B" intrvl="discrete">
  <labl>Average maximum monthly temperature</labl>
  <imputation>Average maximum monthly temperature</imputation>
  <security>Average maximum monthly temperature</security>
  <embargo>Average maximum monthly temperature</embargo>
  <respUnit>Average maximum monthly temperature</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>TEMPMAX available</labl>
  </catgry>
  <txt>TEMPMAX consists of a set of 72 separate variables reporting maximum monthly temperatures. These variables report the average maximum temperature in kelvin scale, within a 10-kilometer circular buffer around each DHS cluster location, for the 60 individual months prior to the survey start date, the month of the survey start date, and the 11 individual months following the survey start date. Note that "average" maximum temperature here refers to averaging the maximum temperature values for the various subareas included in the buffer zone. 
 
By adding TEMPMAX to your data cart, you are in effect adding 72 separate variables for:

the 60 individual months prior to the survey start date, denoted by the number of months prior to the survey start date (e.g., TEMPMAX_01 is the average maximum temperature in the month before the survey start date; TEMPMAX _60 is the average maximum temperature in the 60th month before the survey start date)
the month of the survey start date (TEMPMAX _00)
the 11 individual months following the month of the survey start date, denoted by the number of months following the month of the survey start date (e.g., TEMPMAX_A01 is the average maximum temperature in the month following the month of the survey start date).
 

The full set of monthly temperature data, from January 1980 through December 2016, is available on the IPUMS-DHS contextual variables downloads [URL omitted from DDI.] page. Users can merge the temperature data, available in csv format, with their IPUMS-DHS data extract to create average or total precipitation variables (e.g., average maximum July temperature), for the time frame suited to their research question.

For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_60" name="B_TEMPMAX_60" files="B" intrvl="discrete">
  <labl>Average maximum temperature 60 months before survey start date</labl>
  <imputation>Average maximum temperature 60 months before survey start date</imputation>
  <security>Average maximum temperature 60 months before survey start date</security>
  <embargo>Average maximum temperature 60 months before survey start date</embargo>
  <respUnit>Average maximum temperature 60 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_59" name="B_TEMPMAX_59" files="B" intrvl="discrete">
  <labl>Average maximum temperature 59 months before survey start date</labl>
  <imputation>Average maximum temperature 59 months before survey start date</imputation>
  <security>Average maximum temperature 59 months before survey start date</security>
  <embargo>Average maximum temperature 59 months before survey start date</embargo>
  <respUnit>Average maximum temperature 59 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_58" name="B_TEMPMAX_58" files="B" intrvl="discrete">
  <labl>Average maximum temperature 58 months before survey start date</labl>
  <imputation>Average maximum temperature 58 months before survey start date</imputation>
  <security>Average maximum temperature 58 months before survey start date</security>
  <embargo>Average maximum temperature 58 months before survey start date</embargo>
  <respUnit>Average maximum temperature 58 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_57" name="B_TEMPMAX_57" files="B" intrvl="discrete">
  <labl>Average maximum temperature 57 months before survey start date</labl>
  <imputation>Average maximum temperature 57 months before survey start date</imputation>
  <security>Average maximum temperature 57 months before survey start date</security>
  <embargo>Average maximum temperature 57 months before survey start date</embargo>
  <respUnit>Average maximum temperature 57 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_56" name="B_TEMPMAX_56" files="B" intrvl="discrete">
  <labl>Average maximum temperature 56 months before survey start date</labl>
  <imputation>Average maximum temperature 56 months before survey start date</imputation>
  <security>Average maximum temperature 56 months before survey start date</security>
  <embargo>Average maximum temperature 56 months before survey start date</embargo>
  <respUnit>Average maximum temperature 56 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_55" name="B_TEMPMAX_55" files="B" intrvl="discrete">
  <labl>Average maximum temperature 55 months before survey start date</labl>
  <imputation>Average maximum temperature 55 months before survey start date</imputation>
  <security>Average maximum temperature 55 months before survey start date</security>
  <embargo>Average maximum temperature 55 months before survey start date</embargo>
  <respUnit>Average maximum temperature 55 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_54" name="B_TEMPMAX_54" files="B" intrvl="discrete">
  <labl>Average maximum temperature 54 months before survey start date</labl>
  <imputation>Average maximum temperature 54 months before survey start date</imputation>
  <security>Average maximum temperature 54 months before survey start date</security>
  <embargo>Average maximum temperature 54 months before survey start date</embargo>
  <respUnit>Average maximum temperature 54 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_53" name="B_TEMPMAX_53" files="B" intrvl="discrete">
  <labl>Average maximum temperature 53 months before survey start date</labl>
  <imputation>Average maximum temperature 53 months before survey start date</imputation>
  <security>Average maximum temperature 53 months before survey start date</security>
  <embargo>Average maximum temperature 53 months before survey start date</embargo>
  <respUnit>Average maximum temperature 53 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_52" name="B_TEMPMAX_52" files="B" intrvl="discrete">
  <labl>Average maximum temperature 52 months before survey start date</labl>
  <imputation>Average maximum temperature 52 months before survey start date</imputation>
  <security>Average maximum temperature 52 months before survey start date</security>
  <embargo>Average maximum temperature 52 months before survey start date</embargo>
  <respUnit>Average maximum temperature 52 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_51" name="B_TEMPMAX_51" files="B" intrvl="discrete">
  <labl>Average maximum temperature 51 months before survey start date</labl>
  <imputation>Average maximum temperature 51 months before survey start date</imputation>
  <security>Average maximum temperature 51 months before survey start date</security>
  <embargo>Average maximum temperature 51 months before survey start date</embargo>
  <respUnit>Average maximum temperature 51 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_50" name="B_TEMPMAX_50" files="B" intrvl="discrete">
  <labl>Average maximum temperature 50 months before survey start date</labl>
  <imputation>Average maximum temperature 50 months before survey start date</imputation>
  <security>Average maximum temperature 50 months before survey start date</security>
  <embargo>Average maximum temperature 50 months before survey start date</embargo>
  <respUnit>Average maximum temperature 50 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_49" name="B_TEMPMAX_49" files="B" intrvl="discrete">
  <labl>Average maximum temperature 49 months before survey start date</labl>
  <imputation>Average maximum temperature 49 months before survey start date</imputation>
  <security>Average maximum temperature 49 months before survey start date</security>
  <embargo>Average maximum temperature 49 months before survey start date</embargo>
  <respUnit>Average maximum temperature 49 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_48" name="B_TEMPMAX_48" files="B" intrvl="discrete">
  <labl>Average maximum temperature 48 months before survey start date</labl>
  <imputation>Average maximum temperature 48 months before survey start date</imputation>
  <security>Average maximum temperature 48 months before survey start date</security>
  <embargo>Average maximum temperature 48 months before survey start date</embargo>
  <respUnit>Average maximum temperature 48 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_47" name="B_TEMPMAX_47" files="B" intrvl="discrete">
  <labl>Average maximum temperature 47 months before survey start date</labl>
  <imputation>Average maximum temperature 47 months before survey start date</imputation>
  <security>Average maximum temperature 47 months before survey start date</security>
  <embargo>Average maximum temperature 47 months before survey start date</embargo>
  <respUnit>Average maximum temperature 47 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_46" name="B_TEMPMAX_46" files="B" intrvl="discrete">
  <labl>Average maximum temperature 46 months before survey start date</labl>
  <imputation>Average maximum temperature 46 months before survey start date</imputation>
  <security>Average maximum temperature 46 months before survey start date</security>
  <embargo>Average maximum temperature 46 months before survey start date</embargo>
  <respUnit>Average maximum temperature 46 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_45" name="B_TEMPMAX_45" files="B" intrvl="discrete">
  <labl>Average maximum temperature 45 months before survey start date</labl>
  <imputation>Average maximum temperature 45 months before survey start date</imputation>
  <security>Average maximum temperature 45 months before survey start date</security>
  <embargo>Average maximum temperature 45 months before survey start date</embargo>
  <respUnit>Average maximum temperature 45 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_44" name="B_TEMPMAX_44" files="B" intrvl="discrete">
  <labl>Average maximum temperature 44 months before survey start date</labl>
  <imputation>Average maximum temperature 44 months before survey start date</imputation>
  <security>Average maximum temperature 44 months before survey start date</security>
  <embargo>Average maximum temperature 44 months before survey start date</embargo>
  <respUnit>Average maximum temperature 44 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_43" name="B_TEMPMAX_43" files="B" intrvl="discrete">
  <labl>Average maximum temperature 43 months before survey start date</labl>
  <imputation>Average maximum temperature 43 months before survey start date</imputation>
  <security>Average maximum temperature 43 months before survey start date</security>
  <embargo>Average maximum temperature 43 months before survey start date</embargo>
  <respUnit>Average maximum temperature 43 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_42" name="B_TEMPMAX_42" files="B" intrvl="discrete">
  <labl>Average maximum temperature 42 months before survey start date</labl>
  <imputation>Average maximum temperature 42 months before survey start date</imputation>
  <security>Average maximum temperature 42 months before survey start date</security>
  <embargo>Average maximum temperature 42 months before survey start date</embargo>
  <respUnit>Average maximum temperature 42 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_41" name="B_TEMPMAX_41" files="B" intrvl="discrete">
  <labl>Average maximum temperature 41 months before survey start date</labl>
  <imputation>Average maximum temperature 41 months before survey start date</imputation>
  <security>Average maximum temperature 41 months before survey start date</security>
  <embargo>Average maximum temperature 41 months before survey start date</embargo>
  <respUnit>Average maximum temperature 41 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_40" name="B_TEMPMAX_40" files="B" intrvl="discrete">
  <labl>Average maximum temperature 40 months before survey start date</labl>
  <imputation>Average maximum temperature 40 months before survey start date</imputation>
  <security>Average maximum temperature 40 months before survey start date</security>
  <embargo>Average maximum temperature 40 months before survey start date</embargo>
  <respUnit>Average maximum temperature 40 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_39" name="B_TEMPMAX_39" files="B" intrvl="discrete">
  <labl>Average maximum temperature 39 months before survey start date</labl>
  <imputation>Average maximum temperature 39 months before survey start date</imputation>
  <security>Average maximum temperature 39 months before survey start date</security>
  <embargo>Average maximum temperature 39 months before survey start date</embargo>
  <respUnit>Average maximum temperature 39 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_38" name="B_TEMPMAX_38" files="B" intrvl="discrete">
  <labl>Average maximum temperature 38 months before survey start date</labl>
  <imputation>Average maximum temperature 38 months before survey start date</imputation>
  <security>Average maximum temperature 38 months before survey start date</security>
  <embargo>Average maximum temperature 38 months before survey start date</embargo>
  <respUnit>Average maximum temperature 38 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_37" name="B_TEMPMAX_37" files="B" intrvl="discrete">
  <labl>Average maximum temperature 37 months before survey start date</labl>
  <imputation>Average maximum temperature 37 months before survey start date</imputation>
  <security>Average maximum temperature 37 months before survey start date</security>
  <embargo>Average maximum temperature 37 months before survey start date</embargo>
  <respUnit>Average maximum temperature 37 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_36" name="B_TEMPMAX_36" files="B" intrvl="discrete">
  <labl>Average maximum temperature 36 months before survey start date</labl>
  <imputation>Average maximum temperature 36 months before survey start date</imputation>
  <security>Average maximum temperature 36 months before survey start date</security>
  <embargo>Average maximum temperature 36 months before survey start date</embargo>
  <respUnit>Average maximum temperature 36 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_35" name="B_TEMPMAX_35" files="B" intrvl="discrete">
  <labl>Average maximum temperature 35 months before survey start date</labl>
  <imputation>Average maximum temperature 35 months before survey start date</imputation>
  <security>Average maximum temperature 35 months before survey start date</security>
  <embargo>Average maximum temperature 35 months before survey start date</embargo>
  <respUnit>Average maximum temperature 35 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_34" name="B_TEMPMAX_34" files="B" intrvl="discrete">
  <labl>Average maximum temperature 34 months before survey start date</labl>
  <imputation>Average maximum temperature 34 months before survey start date</imputation>
  <security>Average maximum temperature 34 months before survey start date</security>
  <embargo>Average maximum temperature 34 months before survey start date</embargo>
  <respUnit>Average maximum temperature 34 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_33" name="B_TEMPMAX_33" files="B" intrvl="discrete">
  <labl>Average maximum temperature 33 months before survey start date</labl>
  <imputation>Average maximum temperature 33 months before survey start date</imputation>
  <security>Average maximum temperature 33 months before survey start date</security>
  <embargo>Average maximum temperature 33 months before survey start date</embargo>
  <respUnit>Average maximum temperature 33 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_32" name="B_TEMPMAX_32" files="B" intrvl="discrete">
  <labl>Average maximum temperature 32 months before survey start date</labl>
  <imputation>Average maximum temperature 32 months before survey start date</imputation>
  <security>Average maximum temperature 32 months before survey start date</security>
  <embargo>Average maximum temperature 32 months before survey start date</embargo>
  <respUnit>Average maximum temperature 32 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_31" name="B_TEMPMAX_31" files="B" intrvl="discrete">
  <labl>Average maximum temperature 31 months before survey start date</labl>
  <imputation>Average maximum temperature 31 months before survey start date</imputation>
  <security>Average maximum temperature 31 months before survey start date</security>
  <embargo>Average maximum temperature 31 months before survey start date</embargo>
  <respUnit>Average maximum temperature 31 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_30" name="B_TEMPMAX_30" files="B" intrvl="discrete">
  <labl>Average maximum temperature 30 months before survey start date</labl>
  <imputation>Average maximum temperature 30 months before survey start date</imputation>
  <security>Average maximum temperature 30 months before survey start date</security>
  <embargo>Average maximum temperature 30 months before survey start date</embargo>
  <respUnit>Average maximum temperature 30 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_29" name="B_TEMPMAX_29" files="B" intrvl="discrete">
  <labl>Average maximum temperature 29 months before survey start date</labl>
  <imputation>Average maximum temperature 29 months before survey start date</imputation>
  <security>Average maximum temperature 29 months before survey start date</security>
  <embargo>Average maximum temperature 29 months before survey start date</embargo>
  <respUnit>Average maximum temperature 29 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_28" name="B_TEMPMAX_28" files="B" intrvl="discrete">
  <labl>Average maximum temperature 28 months before survey start date</labl>
  <imputation>Average maximum temperature 28 months before survey start date</imputation>
  <security>Average maximum temperature 28 months before survey start date</security>
  <embargo>Average maximum temperature 28 months before survey start date</embargo>
  <respUnit>Average maximum temperature 28 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_27" name="B_TEMPMAX_27" files="B" intrvl="discrete">
  <labl>Average maximum temperature 27 months before survey start date</labl>
  <imputation>Average maximum temperature 27 months before survey start date</imputation>
  <security>Average maximum temperature 27 months before survey start date</security>
  <embargo>Average maximum temperature 27 months before survey start date</embargo>
  <respUnit>Average maximum temperature 27 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_26" name="B_TEMPMAX_26" files="B" intrvl="discrete">
  <labl>Average maximum temperature 26 months before survey start date</labl>
  <imputation>Average maximum temperature 26 months before survey start date</imputation>
  <security>Average maximum temperature 26 months before survey start date</security>
  <embargo>Average maximum temperature 26 months before survey start date</embargo>
  <respUnit>Average maximum temperature 26 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_25" name="B_TEMPMAX_25" files="B" intrvl="discrete">
  <labl>Average maximum temperature 25 months before survey start date</labl>
  <imputation>Average maximum temperature 25 months before survey start date</imputation>
  <security>Average maximum temperature 25 months before survey start date</security>
  <embargo>Average maximum temperature 25 months before survey start date</embargo>
  <respUnit>Average maximum temperature 25 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_24" name="B_TEMPMAX_24" files="B" intrvl="discrete">
  <labl>Average maximum temperature 24 months before survey start date</labl>
  <imputation>Average maximum temperature 24 months before survey start date</imputation>
  <security>Average maximum temperature 24 months before survey start date</security>
  <embargo>Average maximum temperature 24 months before survey start date</embargo>
  <respUnit>Average maximum temperature 24 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_23" name="B_TEMPMAX_23" files="B" intrvl="discrete">
  <labl>Average maximum temperature 23 months before survey start date</labl>
  <imputation>Average maximum temperature 23 months before survey start date</imputation>
  <security>Average maximum temperature 23 months before survey start date</security>
  <embargo>Average maximum temperature 23 months before survey start date</embargo>
  <respUnit>Average maximum temperature 23 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_22" name="B_TEMPMAX_22" files="B" intrvl="discrete">
  <labl>Average maximum temperature 22 months before survey start date</labl>
  <imputation>Average maximum temperature 22 months before survey start date</imputation>
  <security>Average maximum temperature 22 months before survey start date</security>
  <embargo>Average maximum temperature 22 months before survey start date</embargo>
  <respUnit>Average maximum temperature 22 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_21" name="B_TEMPMAX_21" files="B" intrvl="discrete">
  <labl>Average maximum temperature 21 months before survey start date</labl>
  <imputation>Average maximum temperature 21 months before survey start date</imputation>
  <security>Average maximum temperature 21 months before survey start date</security>
  <embargo>Average maximum temperature 21 months before survey start date</embargo>
  <respUnit>Average maximum temperature 21 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_20" name="B_TEMPMAX_20" files="B" intrvl="discrete">
  <labl>Average maximum temperature 20 months before survey start date</labl>
  <imputation>Average maximum temperature 20 months before survey start date</imputation>
  <security>Average maximum temperature 20 months before survey start date</security>
  <embargo>Average maximum temperature 20 months before survey start date</embargo>
  <respUnit>Average maximum temperature 20 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_19" name="B_TEMPMAX_19" files="B" intrvl="discrete">
  <labl>Average maximum temperature 19 months before survey start date</labl>
  <imputation>Average maximum temperature 19 months before survey start date</imputation>
  <security>Average maximum temperature 19 months before survey start date</security>
  <embargo>Average maximum temperature 19 months before survey start date</embargo>
  <respUnit>Average maximum temperature 19 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_18" name="B_TEMPMAX_18" files="B" intrvl="discrete">
  <labl>Average maximum temperature 18 months before survey start date</labl>
  <imputation>Average maximum temperature 18 months before survey start date</imputation>
  <security>Average maximum temperature 18 months before survey start date</security>
  <embargo>Average maximum temperature 18 months before survey start date</embargo>
  <respUnit>Average maximum temperature 18 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_17" name="B_TEMPMAX_17" files="B" intrvl="discrete">
  <labl>Average maximum temperature 17 months before survey start date</labl>
  <imputation>Average maximum temperature 17 months before survey start date</imputation>
  <security>Average maximum temperature 17 months before survey start date</security>
  <embargo>Average maximum temperature 17 months before survey start date</embargo>
  <respUnit>Average maximum temperature 17 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_16" name="B_TEMPMAX_16" files="B" intrvl="discrete">
  <labl>Average maximum temperature 16 months before survey start date</labl>
  <imputation>Average maximum temperature 16 months before survey start date</imputation>
  <security>Average maximum temperature 16 months before survey start date</security>
  <embargo>Average maximum temperature 16 months before survey start date</embargo>
  <respUnit>Average maximum temperature 16 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_15" name="B_TEMPMAX_15" files="B" intrvl="discrete">
  <labl>Average maximum temperature 15 months before survey start date</labl>
  <imputation>Average maximum temperature 15 months before survey start date</imputation>
  <security>Average maximum temperature 15 months before survey start date</security>
  <embargo>Average maximum temperature 15 months before survey start date</embargo>
  <respUnit>Average maximum temperature 15 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_14" name="B_TEMPMAX_14" files="B" intrvl="discrete">
  <labl>Average maximum temperature 14 months before survey start date</labl>
  <imputation>Average maximum temperature 14 months before survey start date</imputation>
  <security>Average maximum temperature 14 months before survey start date</security>
  <embargo>Average maximum temperature 14 months before survey start date</embargo>
  <respUnit>Average maximum temperature 14 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_13" name="B_TEMPMAX_13" files="B" intrvl="discrete">
  <labl>Average maximum temperature 13 months before survey start date</labl>
  <imputation>Average maximum temperature 13 months before survey start date</imputation>
  <security>Average maximum temperature 13 months before survey start date</security>
  <embargo>Average maximum temperature 13 months before survey start date</embargo>
  <respUnit>Average maximum temperature 13 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_12" name="B_TEMPMAX_12" files="B" intrvl="discrete">
  <labl>Average maximum temperature 12 months before survey start date</labl>
  <imputation>Average maximum temperature 12 months before survey start date</imputation>
  <security>Average maximum temperature 12 months before survey start date</security>
  <embargo>Average maximum temperature 12 months before survey start date</embargo>
  <respUnit>Average maximum temperature 12 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_11" name="B_TEMPMAX_11" files="B" intrvl="discrete">
  <labl>Average maximum temperature 11 months before survey start date</labl>
  <imputation>Average maximum temperature 11 months before survey start date</imputation>
  <security>Average maximum temperature 11 months before survey start date</security>
  <embargo>Average maximum temperature 11 months before survey start date</embargo>
  <respUnit>Average maximum temperature 11 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_10" name="B_TEMPMAX_10" files="B" intrvl="discrete">
  <labl>Average maximum temperature 10 months before survey start date</labl>
  <imputation>Average maximum temperature 10 months before survey start date</imputation>
  <security>Average maximum temperature 10 months before survey start date</security>
  <embargo>Average maximum temperature 10 months before survey start date</embargo>
  <respUnit>Average maximum temperature 10 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_09" name="B_TEMPMAX_09" files="B" intrvl="discrete">
  <labl>Average maximum temperature 9 months before survey start date</labl>
  <imputation>Average maximum temperature 9 months before survey start date</imputation>
  <security>Average maximum temperature 9 months before survey start date</security>
  <embargo>Average maximum temperature 9 months before survey start date</embargo>
  <respUnit>Average maximum temperature 9 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_08" name="B_TEMPMAX_08" files="B" intrvl="discrete">
  <labl>Average maximum temperature 8 months before survey start date</labl>
  <imputation>Average maximum temperature 8 months before survey start date</imputation>
  <security>Average maximum temperature 8 months before survey start date</security>
  <embargo>Average maximum temperature 8 months before survey start date</embargo>
  <respUnit>Average maximum temperature 8 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_07" name="B_TEMPMAX_07" files="B" intrvl="discrete">
  <labl>Average maximum temperature 7 months before survey start date</labl>
  <imputation>Average maximum temperature 7 months before survey start date</imputation>
  <security>Average maximum temperature 7 months before survey start date</security>
  <embargo>Average maximum temperature 7 months before survey start date</embargo>
  <respUnit>Average maximum temperature 7 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_06" name="B_TEMPMAX_06" files="B" intrvl="discrete">
  <labl>Average maximum temperature 6 months before survey start date</labl>
  <imputation>Average maximum temperature 6 months before survey start date</imputation>
  <security>Average maximum temperature 6 months before survey start date</security>
  <embargo>Average maximum temperature 6 months before survey start date</embargo>
  <respUnit>Average maximum temperature 6 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_05" name="B_TEMPMAX_05" files="B" intrvl="discrete">
  <labl>Average maximum temperature 5 months before survey start date</labl>
  <imputation>Average maximum temperature 5 months before survey start date</imputation>
  <security>Average maximum temperature 5 months before survey start date</security>
  <embargo>Average maximum temperature 5 months before survey start date</embargo>
  <respUnit>Average maximum temperature 5 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_04" name="B_TEMPMAX_04" files="B" intrvl="discrete">
  <labl>Average maximum temperature 4 months before survey start date</labl>
  <imputation>Average maximum temperature 4 months before survey start date</imputation>
  <security>Average maximum temperature 4 months before survey start date</security>
  <embargo>Average maximum temperature 4 months before survey start date</embargo>
  <respUnit>Average maximum temperature 4 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_03" name="B_TEMPMAX_03" files="B" intrvl="discrete">
  <labl>Average maximum temperature 3 months before survey start date</labl>
  <imputation>Average maximum temperature 3 months before survey start date</imputation>
  <security>Average maximum temperature 3 months before survey start date</security>
  <embargo>Average maximum temperature 3 months before survey start date</embargo>
  <respUnit>Average maximum temperature 3 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_02" name="B_TEMPMAX_02" files="B" intrvl="discrete">
  <labl>Average maximum temperature 2 months before survey start date</labl>
  <imputation>Average maximum temperature 2 months before survey start date</imputation>
  <security>Average maximum temperature 2 months before survey start date</security>
  <embargo>Average maximum temperature 2 months before survey start date</embargo>
  <respUnit>Average maximum temperature 2 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_01" name="B_TEMPMAX_01" files="B" intrvl="discrete">
  <labl>Average maximum temperature 1 month before survey start date</labl>
  <imputation>Average maximum temperature 1 month before survey start date</imputation>
  <security>Average maximum temperature 1 month before survey start date</security>
  <embargo>Average maximum temperature 1 month before survey start date</embargo>
  <respUnit>Average maximum temperature 1 month before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_00" name="B_TEMPMAX_00" files="B" intrvl="discrete">
  <labl>Average maximum temperature month of survey start date</labl>
  <imputation>Average maximum temperature month of survey start date</imputation>
  <security>Average maximum temperature month of survey start date</security>
  <embargo>Average maximum temperature month of survey start date</embargo>
  <respUnit>Average maximum temperature month of survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_A01" name="B_TEMPMAX_A01" files="B" intrvl="discrete">
  <labl>Average maximum temperature 1 month after survey start date</labl>
  <imputation>Average maximum temperature 1 month after survey start date</imputation>
  <security>Average maximum temperature 1 month after survey start date</security>
  <embargo>Average maximum temperature 1 month after survey start date</embargo>
  <respUnit>Average maximum temperature 1 month after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_A02" name="B_TEMPMAX_A02" files="B" intrvl="discrete">
  <labl>Average maximum temperature 2 months after survey start date</labl>
  <imputation>Average maximum temperature 2 months after survey start date</imputation>
  <security>Average maximum temperature 2 months after survey start date</security>
  <embargo>Average maximum temperature 2 months after survey start date</embargo>
  <respUnit>Average maximum temperature 2 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_A03" name="B_TEMPMAX_A03" files="B" intrvl="discrete">
  <labl>Average maximum temperature 3 months after survey start date</labl>
  <imputation>Average maximum temperature 3 months after survey start date</imputation>
  <security>Average maximum temperature 3 months after survey start date</security>
  <embargo>Average maximum temperature 3 months after survey start date</embargo>
  <respUnit>Average maximum temperature 3 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_A04" name="B_TEMPMAX_A04" files="B" intrvl="discrete">
  <labl>Average maximum temperature 4 months after survey start date</labl>
  <imputation>Average maximum temperature 4 months after survey start date</imputation>
  <security>Average maximum temperature 4 months after survey start date</security>
  <embargo>Average maximum temperature 4 months after survey start date</embargo>
  <respUnit>Average maximum temperature 4 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_A05" name="B_TEMPMAX_A05" files="B" intrvl="discrete">
  <labl>Average maximum temperature 5 months after survey start date</labl>
  <imputation>Average maximum temperature 5 months after survey start date</imputation>
  <security>Average maximum temperature 5 months after survey start date</security>
  <embargo>Average maximum temperature 5 months after survey start date</embargo>
  <respUnit>Average maximum temperature 5 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_A06" name="B_TEMPMAX_A06" files="B" intrvl="discrete">
  <labl>Average maximum temperature 6 months after survey start date</labl>
  <imputation>Average maximum temperature 6 months after survey start date</imputation>
  <security>Average maximum temperature 6 months after survey start date</security>
  <embargo>Average maximum temperature 6 months after survey start date</embargo>
  <respUnit>Average maximum temperature 6 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_A07" name="B_TEMPMAX_A07" files="B" intrvl="discrete">
  <labl>Average maximum temperature 7 months after survey start date</labl>
  <imputation>Average maximum temperature 7 months after survey start date</imputation>
  <security>Average maximum temperature 7 months after survey start date</security>
  <embargo>Average maximum temperature 7 months after survey start date</embargo>
  <respUnit>Average maximum temperature 7 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_A08" name="B_TEMPMAX_A08" files="B" intrvl="discrete">
  <labl>Average maximum temperature 8 months after survey start date</labl>
  <imputation>Average maximum temperature 8 months after survey start date</imputation>
  <security>Average maximum temperature 8 months after survey start date</security>
  <embargo>Average maximum temperature 8 months after survey start date</embargo>
  <respUnit>Average maximum temperature 8 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_A09" name="B_TEMPMAX_A09" files="B" intrvl="discrete">
  <labl>Average maximum temperature 9 months after survey start date</labl>
  <imputation>Average maximum temperature 9 months after survey start date</imputation>
  <security>Average maximum temperature 9 months after survey start date</security>
  <embargo>Average maximum temperature 9 months after survey start date</embargo>
  <respUnit>Average maximum temperature 9 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_A10" name="B_TEMPMAX_A10" files="B" intrvl="discrete">
  <labl>Average maximum temperature 10 months after survey start date</labl>
  <imputation>Average maximum temperature 10 months after survey start date</imputation>
  <security>Average maximum temperature 10 months after survey start date</security>
  <embargo>Average maximum temperature 10 months after survey start date</embargo>
  <respUnit>Average maximum temperature 10 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_TEMPMAX_A11" name="B_TEMPMAX_A11" files="B" intrvl="discrete">
  <labl>Average maximum temperature 11 months after survey start date</labl>
  <imputation>Average maximum temperature 11 months after survey start date</imputation>
  <security>Average maximum temperature 11 months after survey start date</security>
  <embargo>Average maximum temperature 11 months after survey start date</embargo>
  <respUnit>Average maximum temperature 11 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_POPDENSITY" name="B_POPDENSITY" files="B" intrvl="discrete">
  <labl>Population density quinquennial time-series (2000-2020)</labl>
  <imputation>Population density quinquennial time-series (2000-2020)</imputation>
  <security>Population density quinquennial time-series (2000-2020)</security>
  <embargo>Population density quinquennial time-series (2000-2020)</embargo>
  <respUnit>Population density quinquennial time-series (2000-2020)</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>POPDENSITY available</labl>
  </catgry>
  <txt>POPDENSITY consists of a set of 5 separate variables. These variables report the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2000, 2005, 2010, 2015, and 2020. By adding POPDENSITY to your data cart, you are in effect adding 5 separate variables (POPDENSITY_2000 - POPDENSITY_2020), one variable for each month. Values for POPDENSITY are based onÂ population projections from the results of the 2000 and 2010 rounds of censuses.

POPDENSITY variables can be used as indicators of urban versus rural status, with the cut-off levels for these categories decided by the researcher, for greater consistency in measurement than the DHS URBAN variable. 

POPDENSITY, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_POPDENSITY_2000" name="B_POPDENSITY_2000" files="B" intrvl="discrete">
  <labl>Population density 2000</labl>
  <imputation>Population density 2000</imputation>
  <security>Population density 2000</security>
  <embargo>Population density 2000</embargo>
  <respUnit>Population density 2000</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POPDENSITY_2000 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2000. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2000 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2000 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2000  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_POPDENSITY_2005" name="B_POPDENSITY_2005" files="B" intrvl="discrete">
  <labl>Population density 2005</labl>
  <imputation>Population density 2005</imputation>
  <security>Population density 2005</security>
  <embargo>Population density 2005</embargo>
  <respUnit>Population density 2005</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POPDENSITY_2005 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2005. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2005 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2005 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2005  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_POPDENSITY_2010" name="B_POPDENSITY_2010" files="B" intrvl="discrete">
  <labl>Population density 2010</labl>
  <imputation>Population density 2010</imputation>
  <security>Population density 2010</security>
  <embargo>Population density 2010</embargo>
  <respUnit>Population density 2010</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POPDENSITY_2010 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2010. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2010 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2010 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2010  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_POPDENSITY_2015" name="B_POPDENSITY_2015" files="B" intrvl="discrete">
  <labl>Population density 2015</labl>
  <imputation>Population density 2015</imputation>
  <security>Population density 2015</security>
  <embargo>Population density 2015</embargo>
  <respUnit>Population density 2015</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POPDENSITY_2015 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2015. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2015 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2015 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2015  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_POPDENSITY_2020" name="B_POPDENSITY_2020" files="B" intrvl="discrete">
  <labl>Population density 2020</labl>
  <imputation>Population density 2020</imputation>
  <security>Population density 2020</security>
  <embargo>Population density 2020</embargo>
  <respUnit>Population density 2020</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POPDENSITY_2020 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2020. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2020 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2020 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. Values for POPDENSITY_2020 are based on population projections from the results of the 2010 round of censuses, which occurred between 2005 and 2014.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2020  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BARLEY_H" name="B_BARLEY_H" files="B" intrvl="discrete">
  <labl>Harvested area barley (in 2000)</labl>
  <imputation>Harvested area barley (in 2000)</imputation>
  <security>Harvested area barley (in 2000)</security>
  <embargo>Harvested area barley (in 2000)</embargo>
  <respUnit>Harvested area barley (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>BARLEY_H reports total harvested area dedicated to barley, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in BARLEY_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable BARLEY_P reports total crop production of barley, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

BARLEY_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_CASSAVA_H" name="B_CASSAVA_H" files="B" intrvl="discrete">
  <labl>Harvested area cassava (in 2000)</labl>
  <imputation>Harvested area cassava (in 2000)</imputation>
  <security>Harvested area cassava (in 2000)</security>
  <embargo>Harvested area cassava (in 2000)</embargo>
  <respUnit>Harvested area cassava (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>CASSAVA_H reports total harvested area dedicated to cassava, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in CASSAVA_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable CASSAVA_P reports total crop production of cassava, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

CASSAVA_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_COTTON_H" name="B_COTTON_H" files="B" intrvl="discrete">
  <labl>Harvested area cotton (in 2000)</labl>
  <imputation>Harvested area cotton (in 2000)</imputation>
  <security>Harvested area cotton (in 2000)</security>
  <embargo>Harvested area cotton (in 2000)</embargo>
  <respUnit>Harvested area cotton (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>COTTON_H reports total harvested area dedicated to cotton, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in COTTON_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable COTTON_P reports total crop production of cotton, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

COTTON_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_GROUNDNUT_H" name="B_GROUNDNUT_H" files="B" intrvl="discrete">
  <labl>Harvested area groundnuts (in 2000)</labl>
  <imputation>Harvested area groundnuts (in 2000)</imputation>
  <security>Harvested area groundnuts (in 2000)</security>
  <embargo>Harvested area groundnuts (in 2000)</embargo>
  <respUnit>Harvested area groundnuts (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>GROUNDNUT_H reports total harvested area dedicated to groundnuts, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in GROUNDNUT_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable GROUNDNUT_P reports total crop production of groundnuts, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

GROUNDNUT_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_MAIZE_H" name="B_MAIZE_H" files="B" intrvl="discrete">
  <labl>Harvested area maize (in 2000)</labl>
  <imputation>Harvested area maize (in 2000)</imputation>
  <security>Harvested area maize (in 2000)</security>
  <embargo>Harvested area maize (in 2000)</embargo>
  <respUnit>Harvested area maize (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>MAIZE_H reports total harvested area dedicated to maize, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in MAIZE_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable MAIZE_P reports total crop production of maize, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

MAIZE_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_MILLET_H" name="B_MILLET_H" files="B" intrvl="discrete">
  <labl>Harvested area millet (in 2000)</labl>
  <imputation>Harvested area millet (in 2000)</imputation>
  <security>Harvested area millet (in 2000)</security>
  <embargo>Harvested area millet (in 2000)</embargo>
  <respUnit>Harvested area millet (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>MILLET_H reports total harvested area dedicated to millet, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in MILLET_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable MILLET_P reports total crop production of millet, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

MILLET_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_OILPALM_H" name="B_OILPALM_H" files="B" intrvl="discrete">
  <labl>Harvested area oilpalm (in 2000)</labl>
  <imputation>Harvested area oilpalm (in 2000)</imputation>
  <security>Harvested area oilpalm (in 2000)</security>
  <embargo>Harvested area oilpalm (in 2000)</embargo>
  <respUnit>Harvested area oilpalm (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>OILPALM_H reports total harvested area dedicated to oil palm, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in OILPALM_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable OILPALM_P reports total crop production of oil palm, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

OILPALM_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_POTATO_H" name="B_POTATO_H" files="B" intrvl="discrete">
  <labl>Harvested area potatoes (in 2000)</labl>
  <imputation>Harvested area potatoes (in 2000)</imputation>
  <security>Harvested area potatoes (in 2000)</security>
  <embargo>Harvested area potatoes (in 2000)</embargo>
  <respUnit>Harvested area potatoes (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POTATO_H reports total harvested area dedicated to potatoes, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in POTATO_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable POTATO_P reports total crop production of potatoes, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

POTATO_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_RAPESEED_H" name="B_RAPESEED_H" files="B" intrvl="discrete">
  <labl>Harvested area rapeseed (in 2000)</labl>
  <imputation>Harvested area rapeseed (in 2000)</imputation>
  <security>Harvested area rapeseed (in 2000)</security>
  <embargo>Harvested area rapeseed (in 2000)</embargo>
  <respUnit>Harvested area rapeseed (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RAPESEED_H reports total harvested area dedicated to rapeseed, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in RAPESEED_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable RAPESEED_P reports total crop production of rapeseed, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RAPESEED_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_RICE_H" name="B_RICE_H" files="B" intrvl="discrete">
  <labl>Harvested area rice (in 2000)</labl>
  <imputation>Harvested area rice (in 2000)</imputation>
  <security>Harvested area rice (in 2000)</security>
  <embargo>Harvested area rice (in 2000)</embargo>
  <respUnit>Harvested area rice (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RICE_H reports total harvested area dedicated to rice, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in RICE_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable RICE_P reports total crop production of rice, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RICE_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_SORGHUM_H" name="B_SORGHUM_H" files="B" intrvl="discrete">
  <labl>Harvested area sorghum (in 2000)</labl>
  <imputation>Harvested area sorghum (in 2000)</imputation>
  <security>Harvested area sorghum (in 2000)</security>
  <embargo>Harvested area sorghum (in 2000)</embargo>
  <respUnit>Harvested area sorghum (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SORGHUM_H reports total harvested area dedicated to sorghum, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in SORGHUM_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable SORGHUM_P reports total crop production of sorghum, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SORGHUM_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_SOYBEAN_H" name="B_SOYBEAN_H" files="B" intrvl="discrete">
  <labl>Harvested area soybeans (in 2000)</labl>
  <imputation>Harvested area soybeans (in 2000)</imputation>
  <security>Harvested area soybeans (in 2000)</security>
  <embargo>Harvested area soybeans (in 2000)</embargo>
  <respUnit>Harvested area soybeans (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SOYBEAN_H reports total harvested area dedicated to soybeans, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in SOYBEAN_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable SOYBEAN_P reports total crop production of soybean, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SOYBEAN_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_SUGARBEET_H" name="B_SUGARBEET_H" files="B" intrvl="discrete">
  <labl>Harvested area sugarbeets (in 2000)</labl>
  <imputation>Harvested area sugarbeets (in 2000)</imputation>
  <security>Harvested area sugarbeets (in 2000)</security>
  <embargo>Harvested area sugarbeets (in 2000)</embargo>
  <respUnit>Harvested area sugarbeets (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUGARBEET_H reports total harvested area dedicated to sugar beets, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUGARBEET_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable SUGARBEET_P reports total crop production of sugar beets, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUGARBEET_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_SUGARCANE_H" name="B_SUGARCANE_H" files="B" intrvl="discrete">
  <labl>Harvested area sugarcane (in 2000)</labl>
  <imputation>Harvested area sugarcane (in 2000)</imputation>
  <security>Harvested area sugarcane (in 2000)</security>
  <embargo>Harvested area sugarcane (in 2000)</embargo>
  <respUnit>Harvested area sugarcane (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUGARCANE_H reports total harvested area dedicated to sugar cane, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUGARCANE_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable SUGARCANE_P reports total crop production of sugar cane, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUGARCANE_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_SUNFLOWER_H" name="B_SUNFLOWER_H" files="B" intrvl="discrete">
  <labl>Harvested area sunflowers (in 2000)</labl>
  <imputation>Harvested area sunflowers (in 2000)</imputation>
  <security>Harvested area sunflowers (in 2000)</security>
  <embargo>Harvested area sunflowers (in 2000)</embargo>
  <respUnit>Harvested area sunflowers (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUNFLOWER_H reports total harvested area dedicated to sunflowers, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUNFLOWER_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable SUNFLOWER_P reports total crop production of sunflowers, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUNFLOWER_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_WHEAT_H" name="B_WHEAT_H" files="B" intrvl="discrete">
  <labl>Harvested area wheat (in 2000)</labl>
  <imputation>Harvested area wheat (in 2000)</imputation>
  <security>Harvested area wheat (in 2000)</security>
  <embargo>Harvested area wheat (in 2000)</embargo>
  <respUnit>Harvested area wheat (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>WHEAT_H reports total harvested area dedicated to wheat, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in WHEAT_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable WHEAT_P reports total crop production of wheat, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

WHEAT_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_RYE_H" name="B_RYE_H" files="B" intrvl="discrete">
  <labl>Harvested area rye (in 2000)</labl>
  <imputation>Harvested area rye (in 2000)</imputation>
  <security>Harvested area rye (in 2000)</security>
  <embargo>Harvested area rye (in 2000)</embargo>
  <respUnit>Harvested area rye (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RYE_H reports total harvested area dedicated to rye, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in RYE_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable RYE_P reports total crop production of rye, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RYE_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_BARLEY_P" name="B_BARLEY_P" files="B" intrvl="discrete">
  <labl>Total barley production (in 2000)</labl>
  <imputation>Total barley production (in 2000)</imputation>
  <security>Total barley production (in 2000)</security>
  <embargo>Total barley production (in 2000)</embargo>
  <respUnit>Total barley production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>BARLEY_P reports the total crop production of barley, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in BARLEY_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable BARLEY_H reports the total harvested area dedicated to barley, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

BARLEY_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_CASSAVA_P" name="B_CASSAVA_P" files="B" intrvl="discrete">
  <labl>Total cassava production (in 2000)</labl>
  <imputation>Total cassava production (in 2000)</imputation>
  <security>Total cassava production (in 2000)</security>
  <embargo>Total cassava production (in 2000)</embargo>
  <respUnit>Total cassava production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>CASSAVA_P reports the total crop production of cassava, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in CASSAVA_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable CASSAVA_H reports the total harvested area dedicated to cassava, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

CASSAVA_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_COTTON_P" name="B_COTTON_P" files="B" intrvl="discrete">
  <labl>Total cotton production (in 2000)</labl>
  <imputation>Total cotton production (in 2000)</imputation>
  <security>Total cotton production (in 2000)</security>
  <embargo>Total cotton production (in 2000)</embargo>
  <respUnit>Total cotton production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>COTTON_P reports the total crop production of cotton, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in COTTON_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable COTTON_H reports the total harvested area dedicated to cotton, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

COTTON_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_GROUNDNUT_P" name="B_GROUNDNUT_P" files="B" intrvl="discrete">
  <labl>Total groundnut production (in 2000)</labl>
  <imputation>Total groundnut production (in 2000)</imputation>
  <security>Total groundnut production (in 2000)</security>
  <embargo>Total groundnut production (in 2000)</embargo>
  <respUnit>Total groundnut production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>GROUNDNUT_P reports the total crop production of groundnuts, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in GROUNDNUT_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable GROUNDNUT_H reports the total harvested area dedicated to groundnuts, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

GROUNDNUT_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_MAIZE_P" name="B_MAIZE_P" files="B" intrvl="discrete">
  <labl>Total maize production (in 2000)</labl>
  <imputation>Total maize production (in 2000)</imputation>
  <security>Total maize production (in 2000)</security>
  <embargo>Total maize production (in 2000)</embargo>
  <respUnit>Total maize production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>MAIZE_P reports the total crop production of maize, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in MAIZE_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable MAIZE_H reports the total harvested area dedicated to maize, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

MAIZE_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_MILLET_P" name="B_MILLET_P" files="B" intrvl="discrete">
  <labl>Total millet production (in 2000)</labl>
  <imputation>Total millet production (in 2000)</imputation>
  <security>Total millet production (in 2000)</security>
  <embargo>Total millet production (in 2000)</embargo>
  <respUnit>Total millet production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>MILLET_P reports the total crop production of millet, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in MILLET_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable MILLET_H reports the total harvested area dedicated to millet, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

MILLET_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_OILPALM_P" name="B_OILPALM_P" files="B" intrvl="discrete">
  <labl>Total oilpalm production (in 2000)</labl>
  <imputation>Total oilpalm production (in 2000)</imputation>
  <security>Total oilpalm production (in 2000)</security>
  <embargo>Total oilpalm production (in 2000)</embargo>
  <respUnit>Total oilpalm production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>OILPALM_P reports the total crop production of oil palm, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in OILPALM_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable OILPALM_H reports the total harvested area dedicated to oil palm, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

OILPALM_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_POTATO_P" name="B_POTATO_P" files="B" intrvl="discrete">
  <labl>Total potato production (in 2000)</labl>
  <imputation>Total potato production (in 2000)</imputation>
  <security>Total potato production (in 2000)</security>
  <embargo>Total potato production (in 2000)</embargo>
  <respUnit>Total potato production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POTATO_P reports the total crop production of potatoes, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in POTATO_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable POTATO_H reports the total harvested area dedicated to potatoes, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

POTATO_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_RAPESEED_P" name="B_RAPESEED_P" files="B" intrvl="discrete">
  <labl>Total rapeseed production (in 2000)</labl>
  <imputation>Total rapeseed production (in 2000)</imputation>
  <security>Total rapeseed production (in 2000)</security>
  <embargo>Total rapeseed production (in 2000)</embargo>
  <respUnit>Total rapeseed production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RAPESEED_P reports the total crop production of rapeseed, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RAPESEED_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable RAPESEED_H reports the total harvested area dedicated to rapeseed, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RAPESEED_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_RICE_P" name="B_RICE_P" files="B" intrvl="discrete">
  <labl>Total rice production (in 2000)</labl>
  <imputation>Total rice production (in 2000)</imputation>
  <security>Total rice production (in 2000)</security>
  <embargo>Total rice production (in 2000)</embargo>
  <respUnit>Total rice production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RICE_P reports the total crop production of rice, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RICE_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable RICE_H reports the total harvested area dedicated to rice, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RICE_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_SORGHUM_P" name="B_SORGHUM_P" files="B" intrvl="discrete">
  <labl>Total sorghum production (in 2000)</labl>
  <imputation>Total sorghum production (in 2000)</imputation>
  <security>Total sorghum production (in 2000)</security>
  <embargo>Total sorghum production (in 2000)</embargo>
  <respUnit>Total sorghum production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SORGHUM_P reports the total crop production of sorghum, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SORGHUM_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable SORGHUM_H reports the total harvested area dedicated to sorghum, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SORGHUM_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_SOYBEAN_P" name="B_SOYBEAN_P" files="B" intrvl="discrete">
  <labl>Total soybean production (in 2000)</labl>
  <imputation>Total soybean production (in 2000)</imputation>
  <security>Total soybean production (in 2000)</security>
  <embargo>Total soybean production (in 2000)</embargo>
  <respUnit>Total soybean production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SOYBEAN_P reports the total crop production of soybeans, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SOYBEAN_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable SOYBEAN_H reports the total harvested area dedicated to soybeans, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SOYBEAN_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_SUGARBEET_P" name="B_SUGARBEET_P" files="B" intrvl="discrete">
  <labl>Total sugarbeet production (in 2000)</labl>
  <imputation>Total sugarbeet production (in 2000)</imputation>
  <security>Total sugarbeet production (in 2000)</security>
  <embargo>Total sugarbeet production (in 2000)</embargo>
  <respUnit>Total sugarbeet production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUGARBEET_P reports the total crop production of sugar beets, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUGARBEET_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable SUGARBEET_H reports the total harvested area dedicated to sugar beets, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUGARBEET_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_SUGARCANE_P" name="B_SUGARCANE_P" files="B" intrvl="discrete">
  <labl>Total sugarcane production (in 2000)</labl>
  <imputation>Total sugarcane production (in 2000)</imputation>
  <security>Total sugarcane production (in 2000)</security>
  <embargo>Total sugarcane production (in 2000)</embargo>
  <respUnit>Total sugarcane production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUGARCANE_P reports the total crop production of sugar cane, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUGARCANE_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable SUGARCANE_H reports the total harvested area dedicated to sugar cane, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUGARCANE_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_SUNFLOWER_P" name="B_SUNFLOWER_P" files="B" intrvl="discrete">
  <labl>Total sunflower production (in 2000)</labl>
  <imputation>Total sunflower production (in 2000)</imputation>
  <security>Total sunflower production (in 2000)</security>
  <embargo>Total sunflower production (in 2000)</embargo>
  <respUnit>Total sunflower production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUNFLOWER_P reports the total crop production of sunflowers, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUNFLOWER_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable SUNFLOWER_H reports the total harvested area dedicated to sunflowers, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUNFLOWER_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_WHEAT_P" name="B_WHEAT_P" files="B" intrvl="discrete">
  <labl>Total wheat production (in 2000)</labl>
  <imputation>Total wheat production (in 2000)</imputation>
  <security>Total wheat production (in 2000)</security>
  <embargo>Total wheat production (in 2000)</embargo>
  <respUnit>Total wheat production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>WHEAT_P reports the total crop production of wheat, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in WHEAT_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable WHEAT_H reports the total harvested area dedicated to wheat, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

WHEAT_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="B_RYE_P" name="B_RYE_P" files="B" intrvl="discrete">
  <labl>Total rye production (in 2000)</labl>
  <imputation>Total rye production (in 2000)</imputation>
  <security>Total rye production (in 2000)</security>
  <embargo>Total rye production (in 2000)</embargo>
  <respUnit>Total rye production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RYE_P reports the total crop production of rye, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RYE_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable RYE_H reports the total harvested area dedicated to rye, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RYE_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_SAMPLE" name="C_SAMPLE" files="C" intrvl="discrete">
  <labl>IPUMS-DHS sample identifier</labl>
  <imputation>IPUMS-DHS sample identifier</imputation>
  <security>IPUMS-DHS sample identifier</security>
  <embargo>IPUMS-DHS sample identifier</embargo>
  <respUnit>IPUMS-DHS sample identifier</respUnit>
  <catgry>
    <catValu>00101</catValu>
    <labl>Model 2015</labl>
  </catgry>
  <catgry>
    <catValu>00401</catValu>
    <labl>Afghanistan 2015</labl>
  </catgry>
  <catgry>
    <catValu>02401</catValu>
    <labl>Angola 2015</labl>
  </catgry>
  <catgry>
    <catValu>05001</catValu>
    <labl>Bangladesh 1994</labl>
  </catgry>
  <catgry>
    <catValu>05002</catValu>
    <labl>Bangladesh 1996-97</labl>
  </catgry>
  <catgry>
    <catValu>05003</catValu>
    <labl>Bangladesh 1999-00</labl>
  </catgry>
  <catgry>
    <catValu>05004</catValu>
    <labl>Bangladesh 2004</labl>
  </catgry>
  <catgry>
    <catValu>05005</catValu>
    <labl>Bangladesh 2007</labl>
  </catgry>
  <catgry>
    <catValu>05006</catValu>
    <labl>Bangladesh 2011</labl>
  </catgry>
  <catgry>
    <catValu>05007</catValu>
    <labl>Bangladesh 2014</labl>
  </catgry>
  <catgry>
    <catValu>10401</catValu>
    <labl>Myanmar 2015</labl>
  </catgry>
  <catgry>
    <catValu>10801</catValu>
    <labl>Burundi 1987</labl>
  </catgry>
  <catgry>
    <catValu>10802</catValu>
    <labl>Burundi 2010</labl>
  </catgry>
  <catgry>
    <catValu>10803</catValu>
    <labl>Burundi 2016</labl>
  </catgry>
  <catgry>
    <catValu>11601</catValu>
    <labl>Cambodia 2000</labl>
  </catgry>
  <catgry>
    <catValu>11602</catValu>
    <labl>Cambodia 2005</labl>
  </catgry>
  <catgry>
    <catValu>11603</catValu>
    <labl>Cambodia 2010</labl>
  </catgry>
  <catgry>
    <catValu>11604</catValu>
    <labl>Cambodia 2014</labl>
  </catgry>
  <catgry>
    <catValu>12001</catValu>
    <labl>Cameroon 1991</labl>
  </catgry>
  <catgry>
    <catValu>12002</catValu>
    <labl>Cameroon 1998</labl>
  </catgry>
  <catgry>
    <catValu>12003</catValu>
    <labl>Cameroon 2004</labl>
  </catgry>
  <catgry>
    <catValu>12004</catValu>
    <labl>Cameroon 2011</labl>
  </catgry>
  <catgry>
    <catValu>14801</catValu>
    <labl>Chad 1996-97</labl>
  </catgry>
  <catgry>
    <catValu>14802</catValu>
    <labl>Chad 2004</labl>
  </catgry>
  <catgry>
    <catValu>14803</catValu>
    <labl>Chad 2014</labl>
  </catgry>
  <catgry>
    <catValu>18001</catValu>
    <labl>Congo Democratic Republic 2007</labl>
  </catgry>
  <catgry>
    <catValu>18002</catValu>
    <labl>Congo Democratic Republic 2013-14</labl>
  </catgry>
  <catgry>
    <catValu>20401</catValu>
    <labl>Benin 1996</labl>
  </catgry>
  <catgry>
    <catValu>20402</catValu>
    <labl>Benin 2001</labl>
  </catgry>
  <catgry>
    <catValu>20403</catValu>
    <labl>Benin 2006</labl>
  </catgry>
  <catgry>
    <catValu>20404</catValu>
    <labl>Benin 2011</labl>
  </catgry>
  <catgry>
    <catValu>23101</catValu>
    <labl>Ethiopia 2000</labl>
  </catgry>
  <catgry>
    <catValu>23102</catValu>
    <labl>Ethiopia 2005</labl>
  </catgry>
  <catgry>
    <catValu>23103</catValu>
    <labl>Ethiopia 2011</labl>
  </catgry>
  <catgry>
    <catValu>23104</catValu>
    <labl>Ethiopia 2016</labl>
  </catgry>
  <catgry>
    <catValu>28801</catValu>
    <labl>Ghana 1988</labl>
  </catgry>
  <catgry>
    <catValu>28802</catValu>
    <labl>Ghana 1993</labl>
  </catgry>
  <catgry>
    <catValu>28803</catValu>
    <labl>Ghana 1998</labl>
  </catgry>
  <catgry>
    <catValu>28804</catValu>
    <labl>Ghana 2003</labl>
  </catgry>
  <catgry>
    <catValu>28805</catValu>
    <labl>Ghana 2008</labl>
  </catgry>
  <catgry>
    <catValu>28806</catValu>
    <labl>Ghana 2014</labl>
  </catgry>
  <catgry>
    <catValu>32001</catValu>
    <labl>Guatemala 1987</labl>
  </catgry>
  <catgry>
    <catValu>32002</catValu>
    <labl>Guatemala 1995</labl>
  </catgry>
  <catgry>
    <catValu>32003</catValu>
    <labl>Guatemala 2015</labl>
  </catgry>
  <catgry>
    <catValu>32401</catValu>
    <labl>Guinea 1999</labl>
  </catgry>
  <catgry>
    <catValu>32402</catValu>
    <labl>Guinea 2005</labl>
  </catgry>
  <catgry>
    <catValu>32403</catValu>
    <labl>Guinea 2012</labl>
  </catgry>
  <catgry>
    <catValu>35601</catValu>
    <labl>India 1992-93</labl>
  </catgry>
  <catgry>
    <catValu>35602</catValu>
    <labl>India 1998-99</labl>
  </catgry>
  <catgry>
    <catValu>35603</catValu>
    <labl>India 2005-06</labl>
  </catgry>
  <catgry>
    <catValu>35604</catValu>
    <labl>India 2015-16</labl>
  </catgry>
  <catgry>
    <catValu>38401</catValu>
    <labl>Cote d'Ivoire 1994</labl>
  </catgry>
  <catgry>
    <catValu>38402</catValu>
    <labl>Cote d'Ivoire 1998</labl>
  </catgry>
  <catgry>
    <catValu>38403</catValu>
    <labl>Cote d'Ivoire 2011</labl>
  </catgry>
  <catgry>
    <catValu>40001</catValu>
    <labl>Jordan 1990</labl>
  </catgry>
  <catgry>
    <catValu>40002</catValu>
    <labl>Jordan 1997</labl>
  </catgry>
  <catgry>
    <catValu>40003</catValu>
    <labl>Jordan 2002</labl>
  </catgry>
  <catgry>
    <catValu>40004</catValu>
    <labl>Jordan 2007</labl>
  </catgry>
  <catgry>
    <catValu>40005</catValu>
    <labl>Jordan 2009</labl>
  </catgry>
  <catgry>
    <catValu>40006</catValu>
    <labl>Jordan 2012</labl>
  </catgry>
  <catgry>
    <catValu>40007</catValu>
    <labl>Jordan 2017-18</labl>
  </catgry>
  <catgry>
    <catValu>40401</catValu>
    <labl>Kenya 1989</labl>
  </catgry>
  <catgry>
    <catValu>40402</catValu>
    <labl>Kenya 1993</labl>
  </catgry>
  <catgry>
    <catValu>40403</catValu>
    <labl>Kenya 1998</labl>
  </catgry>
  <catgry>
    <catValu>40404</catValu>
    <labl>Kenya 2003</labl>
  </catgry>
  <catgry>
    <catValu>40405</catValu>
    <labl>Kenya 2008-9</labl>
  </catgry>
  <catgry>
    <catValu>40406</catValu>
    <labl>Kenya 2014</labl>
  </catgry>
  <catgry>
    <catValu>42601</catValu>
    <labl>Lesotho 2004</labl>
  </catgry>
  <catgry>
    <catValu>42602</catValu>
    <labl>Lesotho 2009</labl>
  </catgry>
  <catgry>
    <catValu>42603</catValu>
    <labl>Lesotho 2014</labl>
  </catgry>
  <catgry>
    <catValu>45001</catValu>
    <labl>Madagascar 1992</labl>
  </catgry>
  <catgry>
    <catValu>45002</catValu>
    <labl>Madagascar 1997</labl>
  </catgry>
  <catgry>
    <catValu>45003</catValu>
    <labl>Madagascar 2003</labl>
  </catgry>
  <catgry>
    <catValu>45004</catValu>
    <labl>Madagascar 2008</labl>
  </catgry>
  <catgry>
    <catValu>45401</catValu>
    <labl>Malawi 1992</labl>
  </catgry>
  <catgry>
    <catValu>45402</catValu>
    <labl>Malawi 2000</labl>
  </catgry>
  <catgry>
    <catValu>45403</catValu>
    <labl>Malawi 2004</labl>
  </catgry>
  <catgry>
    <catValu>45404</catValu>
    <labl>Malawi 2010</labl>
  </catgry>
  <catgry>
    <catValu>45405</catValu>
    <labl>Malawi 2016</labl>
  </catgry>
  <catgry>
    <catValu>46601</catValu>
    <labl>Mali 1987</labl>
  </catgry>
  <catgry>
    <catValu>46602</catValu>
    <labl>Mali 1995-6</labl>
  </catgry>
  <catgry>
    <catValu>46603</catValu>
    <labl>Mali 2001</labl>
  </catgry>
  <catgry>
    <catValu>46604</catValu>
    <labl>Mali 2006</labl>
  </catgry>
  <catgry>
    <catValu>46605</catValu>
    <labl>Mali 2012</labl>
  </catgry>
  <catgry>
    <catValu>50401</catValu>
    <labl>Morocco 1987</labl>
  </catgry>
  <catgry>
    <catValu>50402</catValu>
    <labl>Morocco 1992</labl>
  </catgry>
  <catgry>
    <catValu>50403</catValu>
    <labl>Morocco 2003</labl>
  </catgry>
  <catgry>
    <catValu>50801</catValu>
    <labl>Mozambique 1997</labl>
  </catgry>
  <catgry>
    <catValu>50802</catValu>
    <labl>Mozambique 2003</labl>
  </catgry>
  <catgry>
    <catValu>50803</catValu>
    <labl>Mozambique 2011</labl>
  </catgry>
  <catgry>
    <catValu>51601</catValu>
    <labl>Namibia 1992</labl>
  </catgry>
  <catgry>
    <catValu>51602</catValu>
    <labl>Namibia 2000</labl>
  </catgry>
  <catgry>
    <catValu>51603</catValu>
    <labl>Namibia 2006</labl>
  </catgry>
  <catgry>
    <catValu>51604</catValu>
    <labl>Namibia 2013</labl>
  </catgry>
  <catgry>
    <catValu>52401</catValu>
    <labl>Nepal 1996</labl>
  </catgry>
  <catgry>
    <catValu>52402</catValu>
    <labl>Nepal 2001</labl>
  </catgry>
  <catgry>
    <catValu>52403</catValu>
    <labl>Nepal 2006</labl>
  </catgry>
  <catgry>
    <catValu>52404</catValu>
    <labl>Nepal 2011</labl>
  </catgry>
  <catgry>
    <catValu>52405</catValu>
    <labl>Nepal 2016</labl>
  </catgry>
  <catgry>
    <catValu>56201</catValu>
    <labl>Niger 1992</labl>
  </catgry>
  <catgry>
    <catValu>56202</catValu>
    <labl>Niger 1998</labl>
  </catgry>
  <catgry>
    <catValu>56203</catValu>
    <labl>Niger 2006</labl>
  </catgry>
  <catgry>
    <catValu>56204</catValu>
    <labl>Niger 2012</labl>
  </catgry>
  <catgry>
    <catValu>56601</catValu>
    <labl>Nigeria 1990</labl>
  </catgry>
  <catgry>
    <catValu>56602</catValu>
    <labl>Nigeria 1999</labl>
  </catgry>
  <catgry>
    <catValu>56603</catValu>
    <labl>Nigeria 2003</labl>
  </catgry>
  <catgry>
    <catValu>56604</catValu>
    <labl>Nigeria 2008</labl>
  </catgry>
  <catgry>
    <catValu>56605</catValu>
    <labl>Nigeria 2013</labl>
  </catgry>
  <catgry>
    <catValu>58601</catValu>
    <labl>Pakistan 1990-91</labl>
  </catgry>
  <catgry>
    <catValu>58602</catValu>
    <labl>Pakistan 2006-07</labl>
  </catgry>
  <catgry>
    <catValu>58603</catValu>
    <labl>Pakistan 2012-13</labl>
  </catgry>
  <catgry>
    <catValu>58604</catValu>
    <labl>Pakistan 2017-18</labl>
  </catgry>
  <catgry>
    <catValu>60401</catValu>
    <labl>Peru 1991-92</labl>
  </catgry>
  <catgry>
    <catValu>60402</catValu>
    <labl>Peru 1996</labl>
  </catgry>
  <catgry>
    <catValu>60403</catValu>
    <labl>Peru 2000</labl>
  </catgry>
  <catgry>
    <catValu>60404</catValu>
    <labl>Peru 2004-08</labl>
  </catgry>
  <catgry>
    <catValu>60405</catValu>
    <labl>Peru 2010</labl>
  </catgry>
  <catgry>
    <catValu>60406</catValu>
    <labl>Peru 2011</labl>
  </catgry>
  <catgry>
    <catValu>60407</catValu>
    <labl>Peru 2012</labl>
  </catgry>
  <catgry>
    <catValu>64601</catValu>
    <labl>Rwanda 1992</labl>
  </catgry>
  <catgry>
    <catValu>64602</catValu>
    <labl>Rwanda 2000</labl>
  </catgry>
  <catgry>
    <catValu>64603</catValu>
    <labl>Rwanda 2005</labl>
  </catgry>
  <catgry>
    <catValu>64604</catValu>
    <labl>Rwanda 2010</labl>
  </catgry>
  <catgry>
    <catValu>64605</catValu>
    <labl>Rwanda 2014</labl>
  </catgry>
  <catgry>
    <catValu>68601</catValu>
    <labl>Senegal 1986</labl>
  </catgry>
  <catgry>
    <catValu>68602</catValu>
    <labl>Senegal 1992-93</labl>
  </catgry>
  <catgry>
    <catValu>68603</catValu>
    <labl>Senegal 1997</labl>
  </catgry>
  <catgry>
    <catValu>68604</catValu>
    <labl>Senegal 2005</labl>
  </catgry>
  <catgry>
    <catValu>68605</catValu>
    <labl>Senegal 2010-11</labl>
  </catgry>
  <catgry>
    <catValu>68606</catValu>
    <labl>Senegal 2012-13</labl>
  </catgry>
  <catgry>
    <catValu>68607</catValu>
    <labl>Senegal 2014</labl>
  </catgry>
  <catgry>
    <catValu>68608</catValu>
    <labl>Senegal 2015</labl>
  </catgry>
  <catgry>
    <catValu>68609</catValu>
    <labl>Senegal 2016</labl>
  </catgry>
  <catgry>
    <catValu>68610</catValu>
    <labl>Senegal 2017</labl>
  </catgry>
  <catgry>
    <catValu>71001</catValu>
    <labl>South Africa 1998</labl>
  </catgry>
  <catgry>
    <catValu>71002</catValu>
    <labl>South Africa 2016</labl>
  </catgry>
  <catgry>
    <catValu>71601</catValu>
    <labl>Zimbabwe 1988</labl>
  </catgry>
  <catgry>
    <catValu>71602</catValu>
    <labl>Zimbabwe 1994</labl>
  </catgry>
  <catgry>
    <catValu>71603</catValu>
    <labl>Zimbabwe 1999</labl>
  </catgry>
  <catgry>
    <catValu>71604</catValu>
    <labl>Zimbabwe 2005-6</labl>
  </catgry>
  <catgry>
    <catValu>71605</catValu>
    <labl>Zimbabwe 2010-11</labl>
  </catgry>
  <catgry>
    <catValu>71606</catValu>
    <labl>Zimbabwe 2015</labl>
  </catgry>
  <catgry>
    <catValu>72901</catValu>
    <labl>Sudan 1989-90</labl>
  </catgry>
  <catgry>
    <catValu>78801</catValu>
    <labl>Tunisia 1988</labl>
  </catgry>
  <catgry>
    <catValu>79201</catValu>
    <labl>Turkey 1993</labl>
  </catgry>
  <catgry>
    <catValu>79202</catValu>
    <labl>Turkey 1998</labl>
  </catgry>
  <catgry>
    <catValu>79203</catValu>
    <labl>Turkey 2003</labl>
  </catgry>
  <catgry>
    <catValu>80001</catValu>
    <labl>Uganda 1988</labl>
  </catgry>
  <catgry>
    <catValu>80002</catValu>
    <labl>Uganda 1995</labl>
  </catgry>
  <catgry>
    <catValu>80003</catValu>
    <labl>Uganda 2001</labl>
  </catgry>
  <catgry>
    <catValu>80004</catValu>
    <labl>Uganda 2006</labl>
  </catgry>
  <catgry>
    <catValu>80005</catValu>
    <labl>Uganda 2011</labl>
  </catgry>
  <catgry>
    <catValu>80006</catValu>
    <labl>Uganda 2016</labl>
  </catgry>
  <catgry>
    <catValu>81801</catValu>
    <labl>Egypt 1988</labl>
  </catgry>
  <catgry>
    <catValu>81802</catValu>
    <labl>Egypt 1992</labl>
  </catgry>
  <catgry>
    <catValu>81803</catValu>
    <labl>Egypt 1995</labl>
  </catgry>
  <catgry>
    <catValu>81804</catValu>
    <labl>Egypt 2000</labl>
  </catgry>
  <catgry>
    <catValu>81805</catValu>
    <labl>Egypt 2005</labl>
  </catgry>
  <catgry>
    <catValu>81806</catValu>
    <labl>Egypt 2008</labl>
  </catgry>
  <catgry>
    <catValu>81807</catValu>
    <labl>Egypt 2014</labl>
  </catgry>
  <catgry>
    <catValu>83401</catValu>
    <labl>Tanzania 1991</labl>
  </catgry>
  <catgry>
    <catValu>83402</catValu>
    <labl>Tanzania 1996</labl>
  </catgry>
  <catgry>
    <catValu>83403</catValu>
    <labl>Tanzania 1999</labl>
  </catgry>
  <catgry>
    <catValu>83404</catValu>
    <labl>Tanzania 2004</labl>
  </catgry>
  <catgry>
    <catValu>83405</catValu>
    <labl>Tanzania 2010</labl>
  </catgry>
  <catgry>
    <catValu>83406</catValu>
    <labl>Tanzania 2015</labl>
  </catgry>
  <catgry>
    <catValu>85401</catValu>
    <labl>Burkina Faso 1993</labl>
  </catgry>
  <catgry>
    <catValu>85402</catValu>
    <labl>Burkina Faso 1998</labl>
  </catgry>
  <catgry>
    <catValu>85403</catValu>
    <labl>Burkina Faso 2003</labl>
  </catgry>
  <catgry>
    <catValu>85404</catValu>
    <labl>Burkina Faso 2010</labl>
  </catgry>
  <catgry>
    <catValu>88701</catValu>
    <labl>Yemen 1991-92</labl>
  </catgry>
  <catgry>
    <catValu>88702</catValu>
    <labl>Yemen 2013</labl>
  </catgry>
  <catgry>
    <catValu>89401</catValu>
    <labl>Zambia 1992</labl>
  </catgry>
  <catgry>
    <catValu>89402</catValu>
    <labl>Zambia 1996</labl>
  </catgry>
  <catgry>
    <catValu>89403</catValu>
    <labl>Zambia 2001</labl>
  </catgry>
  <catgry>
    <catValu>89404</catValu>
    <labl>Zambia 2007</labl>
  </catgry>
  <catgry>
    <catValu>89405</catValu>
    <labl>Zambia 2013</labl>
  </catgry>
  <txt>SAMPLE identifies the DHS sample from which the case is drawn.  Each sample receives a unique 5-digit code.  The first three digits are ISO/UN codes used in COUNTRY, and the last two digits identify the sample within the country, ordered by survey year.

The related variable SAMPLESTR is a string variable that identifies the DHS sample with the same 5-digit code.</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_SAMPLESTR" name="C_SAMPLESTR" files="C" intrvl="discrete">
  <labl>IPUMS-DHS sample identifier (string)</labl>
  <imputation>IPUMS-DHS sample identifier (string)</imputation>
  <security>IPUMS-DHS sample identifier (string)</security>
  <embargo>IPUMS-DHS sample identifier (string)</embargo>
  <respUnit>IPUMS-DHS sample identifier (string)</respUnit>
  <catgry>
    <catValu>11603</catValu>
    <labl>Cambodia 2010</labl>
  </catgry>
  <catgry>
    <catValu>11602</catValu>
    <labl>Cambodia 2005</labl>
  </catgry>
  <catgry>
    <catValu>11601</catValu>
    <labl>Cambodia 2000</labl>
  </catgry>
  <catgry>
    <catValu>10803</catValu>
    <labl>Burundi 2016</labl>
  </catgry>
  <catgry>
    <catValu>10802</catValu>
    <labl>Burundi 2010</labl>
  </catgry>
  <catgry>
    <catValu>10801</catValu>
    <labl>Burundi 1987</labl>
  </catgry>
  <catgry>
    <catValu>10401</catValu>
    <labl>Myanmar 2015</labl>
  </catgry>
  <catgry>
    <catValu>05007</catValu>
    <labl>Bangladesh 2014</labl>
  </catgry>
  <catgry>
    <catValu>05006</catValu>
    <labl>Bangladesh 2011</labl>
  </catgry>
  <catgry>
    <catValu>05005</catValu>
    <labl>Bangladesh 2007</labl>
  </catgry>
  <catgry>
    <catValu>05004</catValu>
    <labl>Bangladesh 2004</labl>
  </catgry>
  <catgry>
    <catValu>05003</catValu>
    <labl>Bangladesh 1999-00</labl>
  </catgry>
  <catgry>
    <catValu>05001</catValu>
    <labl>Bangladesh 1994</labl>
  </catgry>
  <catgry>
    <catValu>05002</catValu>
    <labl>Bangladesh 1996-97</labl>
  </catgry>
  <catgry>
    <catValu>14801</catValu>
    <labl>Chad 1996-97</labl>
  </catgry>
  <catgry>
    <catValu>12004</catValu>
    <labl>Cameroon 2011</labl>
  </catgry>
  <catgry>
    <catValu>12003</catValu>
    <labl>Cameroon 2004</labl>
  </catgry>
  <catgry>
    <catValu>14803</catValu>
    <labl>Chad 2014</labl>
  </catgry>
  <catgry>
    <catValu>18001</catValu>
    <labl>Congo Democratic Republic 2007</labl>
  </catgry>
  <catgry>
    <catValu>18002</catValu>
    <labl>Congo Democratic Republic 2013-14</labl>
  </catgry>
  <catgry>
    <catValu>20401</catValu>
    <labl>Benin 1996</labl>
  </catgry>
  <catgry>
    <catValu>81807</catValu>
    <labl>Egypt 2014</labl>
  </catgry>
  <catgry>
    <catValu>81806</catValu>
    <labl>Egypt 2008</labl>
  </catgry>
  <catgry>
    <catValu>81805</catValu>
    <labl>Egypt 2005</labl>
  </catgry>
  <catgry>
    <catValu>81804</catValu>
    <labl>Egypt 2000</labl>
  </catgry>
  <catgry>
    <catValu>81803</catValu>
    <labl>Egypt 1995</labl>
  </catgry>
  <catgry>
    <catValu>81802</catValu>
    <labl>Egypt 1992</labl>
  </catgry>
  <catgry>
    <catValu>81801</catValu>
    <labl>Egypt 1988</labl>
  </catgry>
  <catgry>
    <catValu>80006</catValu>
    <labl>Uganda 2016</labl>
  </catgry>
  <catgry>
    <catValu>80005</catValu>
    <labl>Uganda 2011</labl>
  </catgry>
  <catgry>
    <catValu>80004</catValu>
    <labl>Uganda 2006</labl>
  </catgry>
  <catgry>
    <catValu>80003</catValu>
    <labl>Uganda 2001</labl>
  </catgry>
  <catgry>
    <catValu>80002</catValu>
    <labl>Uganda 1995</labl>
  </catgry>
  <catgry>
    <catValu>80001</catValu>
    <labl>Uganda 1988</labl>
  </catgry>
  <catgry>
    <catValu>79203</catValu>
    <labl>Turkey 2003</labl>
  </catgry>
  <catgry>
    <catValu>79202</catValu>
    <labl>Turkey 1998</labl>
  </catgry>
  <catgry>
    <catValu>79201</catValu>
    <labl>Turkey 1993</labl>
  </catgry>
  <catgry>
    <catValu>78801</catValu>
    <labl>Tunisia 1988</labl>
  </catgry>
  <catgry>
    <catValu>72901</catValu>
    <labl>Sudan 1989-90</labl>
  </catgry>
  <catgry>
    <catValu>71606</catValu>
    <labl>Zimbabwe 2015</labl>
  </catgry>
  <catgry>
    <catValu>71605</catValu>
    <labl>Zimbabwe 2010-11</labl>
  </catgry>
  <catgry>
    <catValu>71604</catValu>
    <labl>Zimbabwe 2005-6</labl>
  </catgry>
  <catgry>
    <catValu>71603</catValu>
    <labl>Zimbabwe 1999</labl>
  </catgry>
  <catgry>
    <catValu>71602</catValu>
    <labl>Zimbabwe 1994</labl>
  </catgry>
  <catgry>
    <catValu>71601</catValu>
    <labl>Zimbabwe 1988</labl>
  </catgry>
  <catgry>
    <catValu>71001</catValu>
    <labl>South Africa 1998</labl>
  </catgry>
  <catgry>
    <catValu>68610</catValu>
    <labl>Senegal 2017</labl>
  </catgry>
  <catgry>
    <catValu>68609</catValu>
    <labl>Senegal 2016</labl>
  </catgry>
  <catgry>
    <catValu>68608</catValu>
    <labl>Senegal 2015</labl>
  </catgry>
  <catgry>
    <catValu>68607</catValu>
    <labl>Senegal 2014</labl>
  </catgry>
  <catgry>
    <catValu>14802</catValu>
    <labl>Chad 2004</labl>
  </catgry>
  <catgry>
    <catValu>68606</catValu>
    <labl>Senegal 2012-13</labl>
  </catgry>
  <catgry>
    <catValu>68605</catValu>
    <labl>Senegal 2010-11</labl>
  </catgry>
  <catgry>
    <catValu>68604</catValu>
    <labl>Senegal 2005</labl>
  </catgry>
  <catgry>
    <catValu>68603</catValu>
    <labl>Senegal 1997</labl>
  </catgry>
  <catgry>
    <catValu>68602</catValu>
    <labl>Senegal 1992-93</labl>
  </catgry>
  <catgry>
    <catValu>68601</catValu>
    <labl>Senegal 1986</labl>
  </catgry>
  <catgry>
    <catValu>64605</catValu>
    <labl>Rwanda 2014</labl>
  </catgry>
  <catgry>
    <catValu>64604</catValu>
    <labl>Rwanda 2010</labl>
  </catgry>
  <catgry>
    <catValu>64603</catValu>
    <labl>Rwanda 2005</labl>
  </catgry>
  <catgry>
    <catValu>64602</catValu>
    <labl>Rwanda 2000</labl>
  </catgry>
  <catgry>
    <catValu>64601</catValu>
    <labl>Rwanda 1992</labl>
  </catgry>
  <catgry>
    <catValu>60407</catValu>
    <labl>Peru 2012</labl>
  </catgry>
  <catgry>
    <catValu>60406</catValu>
    <labl>Peru 2011</labl>
  </catgry>
  <catgry>
    <catValu>60405</catValu>
    <labl>Peru 2010</labl>
  </catgry>
  <catgry>
    <catValu>60404</catValu>
    <labl>Peru 2004-08</labl>
  </catgry>
  <catgry>
    <catValu>60403</catValu>
    <labl>Peru 2000</labl>
  </catgry>
  <catgry>
    <catValu>60402</catValu>
    <labl>Peru 1996</labl>
  </catgry>
  <catgry>
    <catValu>60401</catValu>
    <labl>Peru 1991-92</labl>
  </catgry>
  <catgry>
    <catValu>58603</catValu>
    <labl>Pakistan 2012-13</labl>
  </catgry>
  <catgry>
    <catValu>58602</catValu>
    <labl>Pakistan 2006-07</labl>
  </catgry>
  <catgry>
    <catValu>58601</catValu>
    <labl>Pakistan 1990-91</labl>
  </catgry>
  <catgry>
    <catValu>56605</catValu>
    <labl>Nigeria 2013</labl>
  </catgry>
  <catgry>
    <catValu>56604</catValu>
    <labl>Nigeria 2008</labl>
  </catgry>
  <catgry>
    <catValu>56603</catValu>
    <labl>Nigeria 2003</labl>
  </catgry>
  <catgry>
    <catValu>56602</catValu>
    <labl>Nigeria 1999</labl>
  </catgry>
  <catgry>
    <catValu>56601</catValu>
    <labl>Nigeria 1990</labl>
  </catgry>
  <catgry>
    <catValu>56204</catValu>
    <labl>Niger 2012</labl>
  </catgry>
  <catgry>
    <catValu>56203</catValu>
    <labl>Niger 2006</labl>
  </catgry>
  <catgry>
    <catValu>56202</catValu>
    <labl>Niger 1998</labl>
  </catgry>
  <catgry>
    <catValu>12002</catValu>
    <labl>Cameroon 1998</labl>
  </catgry>
  <catgry>
    <catValu>12001</catValu>
    <labl>Cameroon 1991</labl>
  </catgry>
  <catgry>
    <catValu>11604</catValu>
    <labl>Cambodia 2014</labl>
  </catgry>
  <catgry>
    <catValu>02401</catValu>
    <labl>Angola 2015</labl>
  </catgry>
  <catgry>
    <catValu>00401</catValu>
    <labl>Afghanistan 2015</labl>
  </catgry>
  <catgry>
    <catValu>00101</catValu>
    <labl>Model 2015</labl>
  </catgry>
  <catgry>
    <catValu>56201</catValu>
    <labl>Niger 1992</labl>
  </catgry>
  <catgry>
    <catValu>52404</catValu>
    <labl>Nepal 2011</labl>
  </catgry>
  <catgry>
    <catValu>52403</catValu>
    <labl>Nepal 2006</labl>
  </catgry>
  <catgry>
    <catValu>52402</catValu>
    <labl>Nepal 2001</labl>
  </catgry>
  <catgry>
    <catValu>52401</catValu>
    <labl>Nepal 1996</labl>
  </catgry>
  <catgry>
    <catValu>51604</catValu>
    <labl>Namibia 2013</labl>
  </catgry>
  <catgry>
    <catValu>51603</catValu>
    <labl>Namibia 2006</labl>
  </catgry>
  <catgry>
    <catValu>51602</catValu>
    <labl>Namibia 2000</labl>
  </catgry>
  <catgry>
    <catValu>51601</catValu>
    <labl>Namibia 1992</labl>
  </catgry>
  <catgry>
    <catValu>50803</catValu>
    <labl>Mozambique 2011</labl>
  </catgry>
  <catgry>
    <catValu>50802</catValu>
    <labl>Mozambique 2003</labl>
  </catgry>
  <catgry>
    <catValu>50801</catValu>
    <labl>Mozambique 1997</labl>
  </catgry>
  <catgry>
    <catValu>50403</catValu>
    <labl>Morocco 2003</labl>
  </catgry>
  <catgry>
    <catValu>50402</catValu>
    <labl>Morocco 1992</labl>
  </catgry>
  <catgry>
    <catValu>50401</catValu>
    <labl>Morocco 1987</labl>
  </catgry>
  <catgry>
    <catValu>46605</catValu>
    <labl>Mali 2012</labl>
  </catgry>
  <catgry>
    <catValu>46604</catValu>
    <labl>Mali 2006</labl>
  </catgry>
  <catgry>
    <catValu>46603</catValu>
    <labl>Mali 2001</labl>
  </catgry>
  <catgry>
    <catValu>46602</catValu>
    <labl>Mali 1995-6</labl>
  </catgry>
  <catgry>
    <catValu>46601</catValu>
    <labl>Mali 1987</labl>
  </catgry>
  <catgry>
    <catValu>45405</catValu>
    <labl>Malawi 2016</labl>
  </catgry>
  <catgry>
    <catValu>45404</catValu>
    <labl>Malawi 2010</labl>
  </catgry>
  <catgry>
    <catValu>45403</catValu>
    <labl>Malawi 2004</labl>
  </catgry>
  <catgry>
    <catValu>45402</catValu>
    <labl>Malawi 2000</labl>
  </catgry>
  <catgry>
    <catValu>45401</catValu>
    <labl>Malawi 1992</labl>
  </catgry>
  <catgry>
    <catValu>45004</catValu>
    <labl>Madagascar 2008</labl>
  </catgry>
  <catgry>
    <catValu>45003</catValu>
    <labl>Madagascar 2003</labl>
  </catgry>
  <catgry>
    <catValu>45002</catValu>
    <labl>Madagascar 1997</labl>
  </catgry>
  <catgry>
    <catValu>45001</catValu>
    <labl>Madagascar 1992</labl>
  </catgry>
  <catgry>
    <catValu>42603</catValu>
    <labl>Lesotho 2014</labl>
  </catgry>
  <catgry>
    <catValu>42602</catValu>
    <labl>Lesotho 2009</labl>
  </catgry>
  <catgry>
    <catValu>42601</catValu>
    <labl>Lesotho 2004</labl>
  </catgry>
  <catgry>
    <catValu>40406</catValu>
    <labl>Kenya 2014</labl>
  </catgry>
  <catgry>
    <catValu>40405</catValu>
    <labl>Kenya 2008-9</labl>
  </catgry>
  <catgry>
    <catValu>40404</catValu>
    <labl>Kenya 2003</labl>
  </catgry>
  <catgry>
    <catValu>40403</catValu>
    <labl>Kenya 1998</labl>
  </catgry>
  <catgry>
    <catValu>40402</catValu>
    <labl>Kenya 1993</labl>
  </catgry>
  <catgry>
    <catValu>40401</catValu>
    <labl>Kenya 1989</labl>
  </catgry>
  <catgry>
    <catValu>40006</catValu>
    <labl>Jordan 2012</labl>
  </catgry>
  <catgry>
    <catValu>40005</catValu>
    <labl>Jordan 2009</labl>
  </catgry>
  <catgry>
    <catValu>40004</catValu>
    <labl>Jordan 2007</labl>
  </catgry>
  <catgry>
    <catValu>40003</catValu>
    <labl>Jordan 2002</labl>
  </catgry>
  <catgry>
    <catValu>40002</catValu>
    <labl>Jordan 1997</labl>
  </catgry>
  <catgry>
    <catValu>40001</catValu>
    <labl>Jordan 1990</labl>
  </catgry>
  <catgry>
    <catValu>38403</catValu>
    <labl>Cote d'Ivoire 2011</labl>
  </catgry>
  <catgry>
    <catValu>38402</catValu>
    <labl>Cote d'Ivoire 1998</labl>
  </catgry>
  <catgry>
    <catValu>38401</catValu>
    <labl>Cote d'Ivoire 1994</labl>
  </catgry>
  <catgry>
    <catValu>35604</catValu>
    <labl>India 2015-16</labl>
  </catgry>
  <catgry>
    <catValu>35603</catValu>
    <labl>India 2005-06</labl>
  </catgry>
  <catgry>
    <catValu>35602</catValu>
    <labl>India 1998-99</labl>
  </catgry>
  <catgry>
    <catValu>35601</catValu>
    <labl>India 1992-93</labl>
  </catgry>
  <catgry>
    <catValu>32403</catValu>
    <labl>Guinea 2012</labl>
  </catgry>
  <catgry>
    <catValu>32402</catValu>
    <labl>Guinea 2005</labl>
  </catgry>
  <catgry>
    <catValu>32401</catValu>
    <labl>Guinea 1999</labl>
  </catgry>
  <catgry>
    <catValu>32003</catValu>
    <labl>Guatemala 2015</labl>
  </catgry>
  <catgry>
    <catValu>32002</catValu>
    <labl>Guatemala 1995</labl>
  </catgry>
  <catgry>
    <catValu>32001</catValu>
    <labl>Guatemala 1987</labl>
  </catgry>
  <catgry>
    <catValu>28806</catValu>
    <labl>Ghana 2014</labl>
  </catgry>
  <catgry>
    <catValu>28805</catValu>
    <labl>Ghana 2008</labl>
  </catgry>
  <catgry>
    <catValu>28804</catValu>
    <labl>Ghana 2003</labl>
  </catgry>
  <catgry>
    <catValu>28803</catValu>
    <labl>Ghana 1998</labl>
  </catgry>
  <catgry>
    <catValu>28802</catValu>
    <labl>Ghana 1993</labl>
  </catgry>
  <catgry>
    <catValu>28801</catValu>
    <labl>Ghana 1988</labl>
  </catgry>
  <catgry>
    <catValu>23104</catValu>
    <labl>Ethiopia 2016</labl>
  </catgry>
  <catgry>
    <catValu>23103</catValu>
    <labl>Ethiopia 2011</labl>
  </catgry>
  <catgry>
    <catValu>23102</catValu>
    <labl>Ethiopia 2005</labl>
  </catgry>
  <catgry>
    <catValu>23101</catValu>
    <labl>Ethiopia 2000</labl>
  </catgry>
  <catgry>
    <catValu>20404</catValu>
    <labl>Benin 2011</labl>
  </catgry>
  <catgry>
    <catValu>20403</catValu>
    <labl>Benin 2006</labl>
  </catgry>
  <catgry>
    <catValu>20402</catValu>
    <labl>Benin 2001</labl>
  </catgry>
  <catgry>
    <catValu>83401</catValu>
    <labl>Tanzania 1991</labl>
  </catgry>
  <catgry>
    <catValu>83402</catValu>
    <labl>Tanzania 1996</labl>
  </catgry>
  <catgry>
    <catValu>83403</catValu>
    <labl>Tanzania 1999</labl>
  </catgry>
  <catgry>
    <catValu>83404</catValu>
    <labl>Tanzania 2004</labl>
  </catgry>
  <catgry>
    <catValu>83405</catValu>
    <labl>Tanzania 2010</labl>
  </catgry>
  <catgry>
    <catValu>83406</catValu>
    <labl>Tanzania 2015</labl>
  </catgry>
  <catgry>
    <catValu>85401</catValu>
    <labl>Burkina Faso 1993</labl>
  </catgry>
  <catgry>
    <catValu>85402</catValu>
    <labl>Burkina Faso 1998</labl>
  </catgry>
  <catgry>
    <catValu>85403</catValu>
    <labl>Burkina Faso 2003</labl>
  </catgry>
  <catgry>
    <catValu>85404</catValu>
    <labl>Burkina Faso 2010</labl>
  </catgry>
  <catgry>
    <catValu>88701</catValu>
    <labl>Yemen 1991-92</labl>
  </catgry>
  <catgry>
    <catValu>88702</catValu>
    <labl>Yemen 2013</labl>
  </catgry>
  <catgry>
    <catValu>89401</catValu>
    <labl>Zambia 1992</labl>
  </catgry>
  <catgry>
    <catValu>89402</catValu>
    <labl>Zambia 1996</labl>
  </catgry>
  <catgry>
    <catValu>89403</catValu>
    <labl>Zambia 2001</labl>
  </catgry>
  <catgry>
    <catValu>89404</catValu>
    <labl>Zambia 2007</labl>
  </catgry>
  <catgry>
    <catValu>89405</catValu>
    <labl>Zambia 2013</labl>
  </catgry>
  <catgry>
    <catValu>40007</catValu>
    <labl>Jordan 2017</labl>
  </catgry>
  <catgry>
    <catValu>52405</catValu>
    <labl>Nepal 2016</labl>
  </catgry>
  <catgry>
    <catValu>58604</catValu>
    <labl>Pakistan 2017-18</labl>
  </catgry>
  <catgry>
    <catValu>71002</catValu>
    <labl>South Africa 2016</labl>
  </catgry>
  <txt>SAMPLESTR is a string variable that identifies the DHS sample from which the case is drawn.  Each sample receives a unique 5-digit code.  The first three digits are ISO/UN codes used in COUNTRY, and the last two digits identify the sample within the country, ordered by survey year.

The related variable SAMPLE is a numeric variable that identifies the DHS sample with the same 5-digit code.</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="C_COUNTRY" name="C_COUNTRY" files="C" intrvl="discrete">
  <labl>Country</labl>
  <imputation>Country</imputation>
  <security>Country</security>
  <embargo>Country</embargo>
  <respUnit>Country</respUnit>
  <catgry>
    <catValu>001</catValu>
    <labl>Model</labl>
  </catgry>
  <catgry>
    <catValu>004</catValu>
    <labl>Afghanistan</labl>
  </catgry>
  <catgry>
    <catValu>024</catValu>
    <labl>Angola</labl>
  </catgry>
  <catgry>
    <catValu>050</catValu>
    <labl>Bangladesh</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>Myanmar</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>Burundi</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>Cambodia</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Cameroon</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>Chad</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>Congo Democratic Republic</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>Benin</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>Ethiopia</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>Ghana</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>Guatemala</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>Guinea</labl>
  </catgry>
  <catgry>
    <catValu>356</catValu>
    <labl>India</labl>
  </catgry>
  <catgry>
    <catValu>384</catValu>
    <labl>Cote d'Ivoire</labl>
  </catgry>
  <catgry>
    <catValu>400</catValu>
    <labl>Jordan</labl>
  </catgry>
  <catgry>
    <catValu>404</catValu>
    <labl>Kenya</labl>
  </catgry>
  <catgry>
    <catValu>426</catValu>
    <labl>Lesotho</labl>
  </catgry>
  <catgry>
    <catValu>450</catValu>
    <labl>Madagascar</labl>
  </catgry>
  <catgry>
    <catValu>454</catValu>
    <labl>Malawi</labl>
  </catgry>
  <catgry>
    <catValu>466</catValu>
    <labl>Mali</labl>
  </catgry>
  <catgry>
    <catValu>504</catValu>
    <labl>Morocco</labl>
  </catgry>
  <catgry>
    <catValu>508</catValu>
    <labl>Mozambique</labl>
  </catgry>
  <catgry>
    <catValu>516</catValu>
    <labl>Namibia</labl>
  </catgry>
  <catgry>
    <catValu>524</catValu>
    <labl>Nepal</labl>
  </catgry>
  <catgry>
    <catValu>562</catValu>
    <labl>Niger</labl>
  </catgry>
  <catgry>
    <catValu>566</catValu>
    <labl>Nigeria</labl>
  </catgry>
  <catgry>
    <catValu>586</catValu>
    <labl>Pakistan</labl>
  </catgry>
  <catgry>
    <catValu>604</catValu>
    <labl>Peru</labl>
  </catgry>
  <catgry>
    <catValu>646</catValu>
    <labl>Rwanda</labl>
  </catgry>
  <catgry>
    <catValu>686</catValu>
    <labl>Senegal</labl>
  </catgry>
  <catgry>
    <catValu>710</catValu>
    <labl>South Africa</labl>
  </catgry>
  <catgry>
    <catValu>716</catValu>
    <labl>Zimbabwe</labl>
  </catgry>
  <catgry>
    <catValu>729</catValu>
    <labl>Sudan</labl>
  </catgry>
  <catgry>
    <catValu>788</catValu>
    <labl>Tunisia</labl>
  </catgry>
  <catgry>
    <catValu>792</catValu>
    <labl>Turkey</labl>
  </catgry>
  <catgry>
    <catValu>800</catValu>
    <labl>Uganda</labl>
  </catgry>
  <catgry>
    <catValu>818</catValu>
    <labl>Egypt</labl>
  </catgry>
  <catgry>
    <catValu>834</catValu>
    <labl>Tanzania</labl>
  </catgry>
  <catgry>
    <catValu>854</catValu>
    <labl>Burkina Faso</labl>
  </catgry>
  <catgry>
    <catValu>887</catValu>
    <labl>Yemen</labl>
  </catgry>
  <catgry>
    <catValu>894</catValu>
    <labl>Zambia</labl>
  </catgry>
  <txt>COUNTRY reports the country where the survey was fielded. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization).</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_YEAR" name="C_YEAR" files="C" intrvl="discrete">
  <labl>Year of sample</labl>
  <imputation>Year of sample</imputation>
  <security>Year of sample</security>
  <embargo>Year of sample</embargo>
  <respUnit>Year of sample</respUnit>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>2017</labl>
  </catgry>
  <catgry>
    <catValu>2018</catValu>
    <labl>2018</labl>
  </catgry>
  <txt>YEAR reports the year when the survey was fielded, as a four-digit variable. In some cases, the DHS was conducted over the course of two years (e.g., Ethiopia 2010-2011), but YEAR always gives a single year.  For full information about the timing of the surveys, please consult the IPUMS-DHS Sample Descriptions page.</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_IDHSPID" name="C_IDHSPID" files="C" intrvl="contin">
  <labl>Unique cross-sample respondent identifier</labl>
  <imputation>Unique cross-sample respondent identifier</imputation>
  <security>Unique cross-sample respondent identifier</security>
  <embargo>Unique cross-sample respondent identifier</embargo>
  <respUnit>Unique cross-sample respondent identifier</respUnit>
  <txt>IDHSPID is an identifying number unique to person in a given sample.  It is a concatenation of SAMPLE and CASEID.</txt>
  <codInstr>IDHSPID is a 22-character string variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="C_IDHSHID" name="C_IDHSHID" files="C" intrvl="contin">
  <labl>Unique cross-sample household identifier</labl>
  <imputation>Unique cross-sample household identifier</imputation>
  <security>Unique cross-sample household identifier</security>
  <embargo>Unique cross-sample household identifier</embargo>
  <respUnit>Unique cross-sample household identifier</respUnit>
  <txt>IDHSHID is an identifying number unique to a specific household in a given sample.  It is a concatenation of SAMPLE, CLUSTERNO and HHNUM.</txt>
  <codInstr>IDHSHID is a 19-character string variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="C_DHSID" name="C_DHSID" files="C" intrvl="contin">
  <labl>Key to link DHS clusters to context data (string)</labl>
  <imputation>Key to link DHS clusters to context data (string)</imputation>
  <security>Key to link DHS clusters to context data (string)</security>
  <embargo>Key to link DHS clusters to context data (string)</embargo>
  <respUnit>Key to link DHS clusters to context data (string)</respUnit>
  <txt>DHSID is the 14-character DHS identification code for DHS clusters constructed from the 2-character country code, the 4-digit survey year, and the 8-digit cluster identification number. DHSID is available for every IPUMS-DHS sample and uniquely identifies clusters across samples. It serves as the unique linking key between IPUMS-DHS microdata and DHS cluster shapefiles.</txt>
  <codInstr>This is a 14-digit numeric variable with 0 implied decimal places</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="C_IDHSPSU" name="C_IDHSPSU" files="C" intrvl="discrete">
  <labl>Unique sample-case PSU identifier</labl>
  <imputation>Unique sample-case PSU identifier</imputation>
  <security>Unique sample-case PSU identifier</security>
  <embargo>Unique sample-case PSU identifier</embargo>
  <respUnit>Unique sample-case PSU identifier</respUnit>
  <txt>IDHSPSU is an identifying number unique to the primary sampling unit in a given sample.  This variable is a concatenation of SAMPLE (which uniquely identifies each country- and year-specific sample) and PSU (the numbered primary sampling units within a given sample).</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_IDHSSTRATA" name="C_IDHSSTRATA" files="C" intrvl="discrete">
  <labl>Unique cross-sample sampling strata</labl>
  <imputation>Unique cross-sample sampling strata</imputation>
  <security>Unique cross-sample sampling strata</security>
  <embargo>Unique cross-sample sampling strata</embargo>
  <respUnit>Unique cross-sample sampling strata</respUnit>
  <txt>IDHSSTRATA is an identifying number unique to the sampling strata in a given sample.  This variable is a concatenation of SAMPLE (which uniquely identifies each country- and year-specific sample) and STRATA (groups of geographically similar areas, from which primary sampling units are drawn).</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_CASEID" name="C_CASEID" files="C" intrvl="contin">
  <labl>Sample-specific respondent identifier</labl>
  <imputation>Sample-specific respondent identifier</imputation>
  <security>Sample-specific respondent identifier</security>
  <embargo>Sample-specific respondent identifier</embargo>
  <respUnit>Sample-specific respondent identifier</respUnit>
  <txt>CASEID is the unique identifier for each woman in a given sample year.  Using CASEID and CLUSTERNO, analysts can link IPUMS-DHS data to the original DHS datasets to attach variables that are not currently available in IPUMS-DHS.  For example, researchers can use CASEID and CLUSTERNO to link variables from the IPUMS-DHS with other variables from the Woman's Recode file to merge country-specific variables, or to the Household or Couples Recode file to attach variables that are not yet part of IPUMS-DHS. 

In most samples, users can identify women who are in the same household by using the first 12 characters of CASEID (and CLUSTERNO (V001)), as this indicates a unique household identifier.  

CASEID is generally created by The DHS Program using the variables CLUSTERNO (V001), HHNUM (V002), and LINENO (V003), with the last three characters indicating the respondent's line number in the household file.

For instructions on how to create links between IPUMS-DHS data and DHS source data, see the User Note on "Merging IDHS and DHS Data." [URL omitted from DDI.]</txt>
  <codInstr>CASEID is a 18-character string variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="C_HHID" name="C_HHID" files="C" intrvl="contin">
  <labl>Sample-specific household identifier</labl>
  <imputation>Sample-specific household identifier</imputation>
  <security>Sample-specific household identifier</security>
  <embargo>Sample-specific household identifier</embargo>
  <respUnit>Sample-specific household identifier</respUnit>
  <txt>HHID is an identifying number unique to each household in a given sample.</txt>
  <codInstr>HHID is a 15-character string variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="C_PSU" name="C_PSU" files="C" intrvl="contin">
  <labl>Sample-specific primary sampling unit</labl>
  <imputation>Sample-specific primary sampling unit</imputation>
  <security>Sample-specific primary sampling unit</security>
  <embargo>Sample-specific primary sampling unit</embargo>
  <respUnit>Sample-specific primary sampling unit</respUnit>
  <txt>PSU (V021) is the variable indicating the  primary sampling unit  or PSU. It should be used along with the variable DOMAIN (V023) to account for the impact of the sample design clustering on the variance estimates and standard errors. 

The DHS Recode Manuals for Phase 2 forward describe this variable as follows:

 Primary sampling unit is a number assigned to sample points to identify the primary sampling units for use in the calculation of sampling errors. This variable is usually the same as the cluster number and/or the ultimate area unit, but may differ if the sample design required a multistage selection process.

See the notes on DHS webpage "Using sample weights" [URL omitted from DDI.] on variance estimation for additional information.</txt>
  <codInstr>PSU (V021) is a 6-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_STRATA" name="C_STRATA" files="C" intrvl="contin">
  <labl>Sample-specific sampling strata</labl>
  <imputation>Sample-specific sampling strata</imputation>
  <security>Sample-specific sampling strata</security>
  <embargo>Sample-specific sampling strata</embargo>
  <respUnit>Sample-specific sampling strata</respUnit>
  <txt>STRATA (V022) defines the pairings or groupings of primary sampling units used in the calculation of sampling errors when using the Taylor series expansion method.

In two-stage sampling, The DHS Program may first group small geographic areas, such as enumeration areas from the last census, into broad strata defined jointly by region and urban versus rural areas within a region. In the second stage of sampling, a subset of geographic areas (sample clusters) are selected as the sites for interviewing from within defined strata. 

STRATA is not the same as DOMAIN (V023). (Domains represent statistically representative areas for which valid summary statistics can be calculated for a survey, such as provinces and national urban versus rural combined areas, as described in the survey's final report.) The DHS Program recommends using STRATA along with the variable PSU (V021) to account for the impact of the sample design clustering on the estimates of variance and standard errors. 

Users are strongly encouraged to review the FAQ section provided by The DHS Program on specifying stratification and clustering here [URL omitted from DDI.], using Stata or SPSS to account for sample design.</txt>
  <codInstr>STRATA (V022) is a 5-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DOMAIN" name="C_DOMAIN" files="C" intrvl="contin">
  <labl>Sample-specific domain</labl>
  <imputation>Sample-specific domain</imputation>
  <security>Sample-specific domain</security>
  <embargo>Sample-specific domain</embargo>
  <respUnit>Sample-specific domain</respUnit>
  <txt>DOMAIN (V023) defines the basic geographic units for which the sample was designed to yield representative estimates. 

The DHS Recode Manual describes DOMAIN as follows:

 For example, if the sample was designed to be self-weighting within region, this variable would define those regions; if the sample was designed to be self-weighting within major urban areas, other urban areas and rural areas, this variable would define the major urban, other urban and rural areas. If the sample is self-weighted at the national level, this variable is code 0.

When national estimates are desired, users should include survey design variables, including DOMAIN (V023) and PSU (V021), and the correct sample weights (e.g., PERWEIGHT (V005)) to adjust sampling errors to account for DHS' sample design.

In most countries, DOMAIN defines the stratification for the sample (generally either regional or national).  However, some countries use two levels of stratification, such as region and urban/rural areas.  Users should check for the correct stratification design by consulting the Final Report(s) for the sample(s) of interest (particularly the Introduction and Sample Design sections and Implementation Appendix).</txt>
  <codInstr>DOMAIN is a 5-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HHNUM" name="C_HHNUM" files="C" intrvl="contin">
  <labl>Household number in cluster</labl>
  <imputation>Household number in cluster</imputation>
  <security>Household number in cluster</security>
  <embargo>Household number in cluster</embargo>
  <respUnit>Household number in cluster</respUnit>
  <txt>HHNUM (V002) is the number identifying the household in which the respondent was
interviewed, within each sample.   

To identify unique households in most samples, researchers must use HHNUM with CLUSTERNO (V001).  

For most samples, HHNUM and CLUSTERNO can be used to merge IPUMS-DHS data from the women's file to DHS Household Recode files, to incorporate household variables not yet available in the IPUMS-DHS.  However, in some household files, HHNUM and CLUSTERNO do not uniquely identify households in the DHS Household Recode file. 

For information about the IPUMS-DHS samples where HHNUM and CLUSTERNO are not sufficient to uniquely identify households, and for guidance on what further steps to take for linking files in such cases, please consult the User Note on Linking. [URL omitted from DDI.]</txt>
  <codInstr>HHNUM is a 4-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_CLUSTERNO" name="C_CLUSTERNO" files="C" intrvl="contin">
  <labl>Sample-specific cluster number</labl>
  <imputation>Sample-specific cluster number</imputation>
  <security>Sample-specific cluster number</security>
  <embargo>Sample-specific cluster number</embargo>
  <respUnit>Sample-specific cluster number</respUnit>
  <txt>CLUSTERNO (V001) reports the cluster number for the person's de facto residence.

According to the DHS Sampling Manual, "A cluster is the smallest geographical survey statistical unit for DHS surveys. It consists of a number of adjacent households in a geographical area. For DHS surveys, a cluster corresponds either to an [enumeration area], or a segment of a large [enumeration area]."  The most recent census for a country, which divided all territory into enumeration areas to ensure full coverage of the population, often provides the sampling frame for a DHS survey.
 
CLUSTERNO is the variable indicating the  primary sampling unit  or PSU. It should be used along with the variable STRATA to account for the impact of the sample design clustering on the estimates of variance and standard errors. 

See the notes on DHS webpage  "Use sample weights" [URL omitted from DDI.] on variance estimation for additional information.

CLUSTERNO (V001) and HHNUM (V002) can be used to merge the women's individual recode file to the household recode file.  See the DHS webpage  Merging Datasets [URL omitted from DDI.] on variables to be used for linking data sets.</txt>
  <codInstr>CLUSTERNO is an 8 digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ULTAREAUNIT" name="C_ULTAREAUNIT" files="C" intrvl="contin">
  <labl>Sample-specific ultimate area unit</labl>
  <imputation>Sample-specific ultimate area unit</imputation>
  <security>Sample-specific ultimate area unit</security>
  <embargo>Sample-specific ultimate area unit</embargo>
  <respUnit>Sample-specific ultimate area unit</respUnit>
  <txt>ULTAREAUNIT (V004) reports the ultimate area unit for the person's de facto residence.

According to the DHS recode manuals, ULTAREAUNIT 

is a number assigned to each sample point to identify the ultimate area units in the collection of data. It is usually the same as the cluster number [CLUSTERNO (V001)], but may be a sequentially numbered variable for samples with a more complicated structure.


ULTAREAUNIT can be used to account for the impact of the sampling design clustering on the variance estimates and standard errors.</txt>
  <codInstr>ULTAREAUNIT (V004) is a 4-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_STRUCTURNO" name="C_STRUCTURNO" files="C" intrvl="contin">
  <labl>Dwelling unit number within household</labl>
  <imputation>Dwelling unit number within household</imputation>
  <security>Dwelling unit number within household</security>
  <embargo>Dwelling unit number within household</embargo>
  <respUnit>Dwelling unit number within household</respUnit>
  <txt>STRUCTURNO is the number of the structure (dwelling unit) within the household. This variable is country-specific.</txt>
  <codInstr>STRUCTURNO is a 3-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_LINENO" name="C_LINENO" files="C" intrvl="discrete">
  <labl>Household line number of woman respondent</labl>
  <imputation>Household line number of woman respondent</imputation>
  <security>Household line number of woman respondent</security>
  <embargo>Household line number of woman respondent</embargo>
  <respUnit>Household line number of woman respondent</respUnit>
  <qstn>
    <qstnLit>1) NUMBER</qstnLit>
  </qstn>
  <catgry>
    <catValu>001</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>002</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>003</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>004</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>005</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>006</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>007</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>008</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>009</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>010</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>011</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>012</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>013</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>014</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>015</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>016</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>017</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>018</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>019</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>020</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>021</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>022</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>023</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>024</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>025</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>026</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>027</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>028</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>029</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>030</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>031</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>032</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>033</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>034</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>035</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>036</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>037</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>038</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>039</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>040</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>041</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>042</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>043</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>044</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>045</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>046</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>047</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>048</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>049</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>050</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>051</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>052</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>053</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>054</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>055</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>056</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>057</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>058</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>059</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>060</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>061</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>062</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>063</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>064</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>065</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>066</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>067</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>068</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>069</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>070</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>071</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>072</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>073</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>074</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>075</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>076</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>077</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>078</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>079</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>080</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>081</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>082</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>083</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>084</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>085</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>086</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>087</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>088</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>089</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>090</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>091</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>092</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>093</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>094</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>095</catValu>
    <labl>95</labl>
  </catgry>
  <catgry>
    <catValu>096</catValu>
    <labl>96</labl>
  </catgry>
  <catgry>
    <catValu>097</catValu>
    <labl>97</labl>
  </catgry>
  <catgry>
    <catValu>098</catValu>
    <labl>98</labl>
  </catgry>
  <catgry>
    <catValu>099</catValu>
    <labl>99</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>100</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>101</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>102</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>103</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>104</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>105</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>106</labl>
  </catgry>
  <txt>LINENO (V003) reports the number of the line on which the DHS interviewer recorded the woman's name, when filling out the household schedule.  After asking "Please give me the names of the persons who usually live in your household or are staying with you now, starting with the head of the household," the interviewer recorded each name in turn on successively numbered lines printed on the household survey form.</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_LINENOHHRESP" name="C_LINENOHHRESP" files="C" intrvl="discrete">
  <labl>Respondent's line number (answering Household questionnaire)</labl>
  <imputation>Respondent's line number (answering Household questionnaire)</imputation>
  <security>Respondent's line number (answering Household questionnaire)</security>
  <embargo>Respondent's line number (answering Household questionnaire)</embargo>
  <respUnit>Respondent's line number (answering Household questionnaire)</respUnit>
  <qstn>
    <qstnLit>1) NUMBER</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Not in household</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>LINENOHHRESP (HV003) reports the line number in the household schedule of the person responding to the questions asked in the household questionnaire. If nobody in the household was available for the interview, this variable is coded "00."</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_MIDX" name="C_MIDX" files="C" intrvl="discrete">
  <labl>Maternity history index to birth history</labl>
  <imputation>Maternity history index to birth history</imputation>
  <security>Maternity history index to birth history</security>
  <embargo>Maternity history index to birth history</embargo>
  <respUnit>Maternity history index to birth history</respUnit>
  <qstn>
    <qstnLit>402) ENTER THE LINE NUMBER, NAME, AND SURVIVAL STATUS OF EACH BIRTH SINCE JANUARY 1987 IN THE TABLE.

ASK THE QUESTIONS OF ALL THESE BIRTHS, BEGINNING WITH THE LAST BIRTH.

Now I would like to ask you some more questions about the health of all of the children you have had in the past 5 years. We will talk about one child at a time.

LINE NUMBER FROM QUESTION 212: ___

FROM QUESTION 212 AND QUESTION 216:

NAME: ___

LIVING: ___ (GO TO 403)
DECEASED: ___ (GO TO 403)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>MIDX reports the young child's line number in the woman respondent's maternity history. For children who are included in the maternity history (pregnancy and postnatal care section of the questionnaire, normally children under age 3, 4, or 5), the value of MIDX is the same as the child's line number in the birth history (BIDX). 

According to the DHS Recode Manuals, "For twins, the information in their entries will be identical for all variables relating to prenatal care."</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BIDX" name="C_BIDX" files="C" intrvl="discrete">
  <labl>Birth history index number</labl>
  <imputation>Birth history index number</imputation>
  <security>Birth history index number</security>
  <embargo>Birth history index number</embargo>
  <respUnit>Birth history index number</respUnit>
  <qstn>
    <qstnLit>211) Now I would like to talk to you about your children, whether they are still alive or not, beginning with the first birth that you had.

(IN 212 WRITE THE NAME OF EACH CHILD, WRITING THE NAMES OF TWINS OR TRIPLETS ON SEPARATE LINES)</qstnLit>
  </qstn>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <txt>BIDX reports the index number of the child in the mother's birth history, from 1 to n, where the nth birth is the mother's first birth, and 1 is the most recently born child. Up to 20 births could be reported by a woman. After asking "Now I would like to record the names of all your births, whether still alive or not, with the first one you had," the interviewer recorded each child's name in turn on successively numbered lines printed in the "Reproduction" section of the individual woman's questionnaire. 

Combined with CASEID, BIDX uniquely identifies children within a sample. Combined with IDHSPID, BIDX uniquely identifies children across samples. Using these variables, data users can link IPUMS-DHS data to original DHS child-level and birth-level datasets.</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HIDX" name="C_HIDX" files="C" intrvl="discrete">
  <labl>Health history index to birth history</labl>
  <imputation>Health history index to birth history</imputation>
  <security>Health history index to birth history</security>
  <embargo>Health history index to birth history</embargo>
  <respUnit>Health history index to birth history</respUnit>
  <qstn>
    <qstnLit>441) ENTER THE LINE NUMBER AND NAME OF EACH BIRTH SINCE JANUARY 1987 IN THE TABLE. ASK THE QUESTIONS ABOUT ALL OF THESE BIRTHS. BEGIN WITH THE LAST BIRTH (IF THERE ARE MORE THAN 3 BIRTHS, USE ADDITIONAL FORMS).

LINE NUMBER FROM QUESTION 212: ___

FROM QUESTION 212 AND QUESTION 216:

NAME: ___

LIVING: ___
DECEASED: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <txt>HIDX reports the young child's line number in the woman respondent's health history section. For children who are included in the health history (normally, children under age 3, 4, or 5), the value of HIDX is the same as the child's line number in the birth history (BIDX). 

After asking, "Now I would like to record the names of all your births, whether still alive or not, with the first one you had," the interviewer recorded each child's name in turn on successively numbered lines printed in the "Reproduction" section of the individual woman's questionnaire.</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PERWEIGHT" name="C_PERWEIGHT" files="C" dcml="6" intrvl="contin">
  <labl>Sample weight for persons</labl>
  <imputation>Sample weight for persons</imputation>
  <security>Sample weight for persons</security>
  <embargo>Sample weight for persons</embargo>
  <respUnit>Sample weight for persons</respUnit>
  <txt>PERWEIGHT (V005) is an 8-digit variable with 6 implied decimal places, which should be used as a weighting factor to produce representative numbers accurately describing the surveyed population.

While the DHS Recode Manuals direct the researcher to divide the original weight variable by 1,000,000 before applying the weighting factor to the original DHS data files, it is not necessary to modify the value of PERWEIGHT before applying this weight to cases in IPUMS-DHS. 

PERWEIGHT should be used to weight nearly all tabulations made using IPUMS-DHS data.  Occasionally, as with the domestic violence variables, a subset of respondents are randomly selected to answer questions from a survey module, and a specialized weight such as DVWEIGHT should be used instead. 

Note: The 6 implied decimal places in PERWEIGHT mean that the last six digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.</txt>
  <codInstr>PERWEIGHT is an 8-digit numeric variable with 6 implied decimal places.  See the variable description for directions on the use of PERWEIGHT.</codInstr>
  <concept>
    <title>Weights and subsample selection Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_AWFACTT" name="C_AWFACTT" files="C" intrvl="contin">
  <labl>All woman factor for total population</labl>
  <imputation>All woman factor for total population</imputation>
  <security>All woman factor for total population</security>
  <embargo>All woman factor for total population</embargo>
  <respUnit>All woman factor for total population</respUnit>
  <txt>AWFACTT is a 5-digit variable (in IPUMS-DHS) with 2 implied decimal places that is used to create total population estimates for all women of childbearing age, for those samples interviewing only ever-married women. A post from DHS senior staff member Tom Pullum on the DHS Users Forum explains, 

The all-woman factors are needed when you are trying to estimate something for all women, but you have to work with ever-married women because that's all you have in the sample. An example is when you want to estimate a fertility rate for all women but you only have the births and exposure for ever-married women.  You have to assume that (a) never-married women have no births and (b) awfact/100 is a multiplier to inflate exposure for ever-married women to exposure for all women.   

For surveys that used a sampling frame of all women of childbearing age, AWFACTT has a value of 100 (or 1.00, with two decimal places), and thus has no effect on the survey statistics when used as a multiplier.  For samples that included only ever-married women, AWFACTT serves as a multiplier to create total population figures for all women of childbearing age, following the assumptions noted above.

The width of AWFACTT ranges from a low of 3 to a high of 5 in the original DHS files; see Comparability for further discussion.</txt>
  <codInstr>AWFACTT is a 5-digit numeric variable with 2 implied decimal places. See the variable description for directions on the use of AWFACTT.</codInstr>
  <concept>
    <title>Weights and subsample selection Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_MENSELHH" name="C_MENSELHH" files="C" intrvl="discrete">
  <labl>Household selected for men's/husband's survey (individual-level)</labl>
  <imputation>Household selected for men's/husband's survey (individual-level)</imputation>
  <security>Household selected for men's/husband's survey (individual-level)</security>
  <embargo>Household selected for men's/husband's survey (individual-level)</embargo>
  <respUnit>Household selected for men's/husband's survey (individual-level)</respUnit>
  <qstn>
    <qstnLit>HUSBAND INTERVIEW:

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>Not selected</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Selected for men's survey</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Selected for husband's survey</labl>
  </catgry>
  <txt>MENSELHH (HV027) indicates whether the respondent's household was selected for the men's or husband's survey. Samples including neither a men's survey nor a husband's survey are excluded from this variable in IPUMS-DHS.</txt>
  <concept>
    <title>Weights and subsample selection Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_INTYEAR" name="C_INTYEAR" files="C" intrvl="discrete">
  <labl>Year of interview</labl>
  <imputation>Year of interview</imputation>
  <security>Year of interview</security>
  <embargo>Year of interview</embargo>
  <respUnit>Year of interview</respUnit>
  <txt>INTYEAR (V007) reports the year the interview took place. The dates reported in INTYEAR are based on the Gregorian calendar.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_MONTHINT" name="C_MONTHINT" files="C" intrvl="discrete">
  <labl>Month of interview</labl>
  <imputation>Month of interview</imputation>
  <security>Month of interview</security>
  <embargo>Month of interview</embargo>
  <respUnit>Month of interview</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <txt>MONTHINT (V006) reports the month when the interview took place.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_INTDAY" name="C_INTDAY" files="C" intrvl="discrete">
  <labl>Day of interview</labl>
  <imputation>Day of interview</imputation>
  <security>Day of interview</security>
  <embargo>Day of interview</embargo>
  <respUnit>Day of interview</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <txt>INTDAY (V016) reports the day of the month on which the interview took place. INTDAY uses dates expressed in the Gregorian calendar.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_INTDATECMC" name="C_INTDATECMC" files="C" intrvl="contin">
  <labl>Century month date of interview</labl>
  <imputation>Century month date of interview</imputation>
  <security>Century month date of interview</security>
  <embargo>Century month date of interview</embargo>
  <respUnit>Century month date of interview</respUnit>
  <txt>INTDATECMC (V008) reports century month code for the date on which the interview took place. 

Century month codes (CMC) are particularly useful for checking the consistency of dates, calculating intervals between events, and imputing dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC  minus ( ( Year - 1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006). [URL omitted from DDI.].

The century month codes reported in INTDATECMC are calculated using the Gregorian calculator.</txt>
  <codInstr>INTDATECMC (V008) is a 4-digit variable.</codInstr>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_INTSTARTCMC" name="C_INTSTARTCMC" files="C" intrvl="discrete">
  <labl>Century month code (CMC) for start of survey</labl>
  <imputation>Century month code (CMC) for start of survey</imputation>
  <security>Century month code (CMC) for start of survey</security>
  <embargo>Century month code (CMC) for start of survey</embargo>
  <respUnit>Century month code (CMC) for start of survey</respUnit>
  <catgry>
    <catValu>1415</catValu>
    <labl>1415</labl>
  </catgry>
  <catgry>
    <catValu>1414</catValu>
    <labl>1414</labl>
  </catgry>
  <catgry>
    <catValu>1399</catValu>
    <labl>1399</labl>
  </catgry>
  <catgry>
    <catValu>1397</catValu>
    <labl>1397</labl>
  </catgry>
  <catgry>
    <catValu>1408</catValu>
    <labl>1408</labl>
  </catgry>
  <catgry>
    <catValu>1402</catValu>
    <labl>1402</labl>
  </catgry>
  <catgry>
    <catValu>1398</catValu>
    <labl>1398</labl>
  </catgry>
  <catgry>
    <catValu>1393</catValu>
    <labl>1393</labl>
  </catgry>
  <catgry>
    <catValu>1392</catValu>
    <labl>1392</labl>
  </catgry>
  <catgry>
    <catValu>1391</catValu>
    <labl>1391</labl>
  </catgry>
  <catgry>
    <catValu>1390</catValu>
    <labl>1390</labl>
  </catgry>
  <catgry>
    <catValu>1388</catValu>
    <labl>1388</labl>
  </catgry>
  <catgry>
    <catValu>1387</catValu>
    <labl>1387</labl>
  </catgry>
  <catgry>
    <catValu>1386</catValu>
    <labl>1386</labl>
  </catgry>
  <catgry>
    <catValu>1381</catValu>
    <labl>1381</labl>
  </catgry>
  <catgry>
    <catValu>1379</catValu>
    <labl>1379</labl>
  </catgry>
  <catgry>
    <catValu>1378</catValu>
    <labl>1378</labl>
  </catgry>
  <catgry>
    <catValu>1377</catValu>
    <labl>1377</labl>
  </catgry>
  <catgry>
    <catValu>1374</catValu>
    <labl>1374</labl>
  </catgry>
  <catgry>
    <catValu>1373</catValu>
    <labl>1373</labl>
  </catgry>
  <catgry>
    <catValu>1372</catValu>
    <labl>1372</labl>
  </catgry>
  <catgry>
    <catValu>1369</catValu>
    <labl>1369</labl>
  </catgry>
  <catgry>
    <catValu>1365</catValu>
    <labl>1365</labl>
  </catgry>
  <catgry>
    <catValu>1364</catValu>
    <labl>1364</labl>
  </catgry>
  <catgry>
    <catValu>1361</catValu>
    <labl>1361</labl>
  </catgry>
  <catgry>
    <catValu>1358</catValu>
    <labl>1358</labl>
  </catgry>
  <catgry>
    <catValu>1355</catValu>
    <labl>1355</labl>
  </catgry>
  <catgry>
    <catValu>1354</catValu>
    <labl>1354</labl>
  </catgry>
  <catgry>
    <catValu>1353</catValu>
    <labl>1353</labl>
  </catgry>
  <catgry>
    <catValu>1350</catValu>
    <labl>1350</labl>
  </catgry>
  <catgry>
    <catValu>1346</catValu>
    <labl>1346</labl>
  </catgry>
  <catgry>
    <catValu>1344</catValu>
    <labl>1344</labl>
  </catgry>
  <catgry>
    <catValu>1339</catValu>
    <labl>1339</labl>
  </catgry>
  <catgry>
    <catValu>1338</catValu>
    <labl>1338</labl>
  </catgry>
  <catgry>
    <catValu>1333</catValu>
    <labl>1333</labl>
  </catgry>
  <catgry>
    <catValu>1332</catValu>
    <labl>1332</labl>
  </catgry>
  <catgry>
    <catValu>1330</catValu>
    <labl>1330</labl>
  </catgry>
  <catgry>
    <catValu>1329</catValu>
    <labl>1329</labl>
  </catgry>
  <catgry>
    <catValu>1328</catValu>
    <labl>1328</labl>
  </catgry>
  <catgry>
    <catValu>1327</catValu>
    <labl>1327</labl>
  </catgry>
  <catgry>
    <catValu>1326</catValu>
    <labl>1326</labl>
  </catgry>
  <catgry>
    <catValu>1325</catValu>
    <labl>1325</labl>
  </catgry>
  <catgry>
    <catValu>1320</catValu>
    <labl>1320</labl>
  </catgry>
  <catgry>
    <catValu>1318</catValu>
    <labl>1318</labl>
  </catgry>
  <catgry>
    <catValu>1307</catValu>
    <labl>1307</labl>
  </catgry>
  <catgry>
    <catValu>1305</catValu>
    <labl>1305</labl>
  </catgry>
  <catgry>
    <catValu>1302</catValu>
    <labl>1302</labl>
  </catgry>
  <catgry>
    <catValu>1299</catValu>
    <labl>1299</labl>
  </catgry>
  <catgry>
    <catValu>1296</catValu>
    <labl>1296</labl>
  </catgry>
  <catgry>
    <catValu>1290</catValu>
    <labl>1290</labl>
  </catgry>
  <catgry>
    <catValu>1288</catValu>
    <labl>1288</labl>
  </catgry>
  <catgry>
    <catValu>1287</catValu>
    <labl>1287</labl>
  </catgry>
  <catgry>
    <catValu>1285</catValu>
    <labl>1285</labl>
  </catgry>
  <catgry>
    <catValu>1283</catValu>
    <labl>1283</labl>
  </catgry>
  <catgry>
    <catValu>1281</catValu>
    <labl>1281</labl>
  </catgry>
  <catgry>
    <catValu>1280</catValu>
    <labl>1280</labl>
  </catgry>
  <catgry>
    <catValu>1277</catValu>
    <labl>1277</labl>
  </catgry>
  <catgry>
    <catValu>1274</catValu>
    <labl>1274</labl>
  </catgry>
  <catgry>
    <catValu>1273</catValu>
    <labl>1273</labl>
  </catgry>
  <catgry>
    <catValu>1271</catValu>
    <labl>1271</labl>
  </catgry>
  <catgry>
    <catValu>1269</catValu>
    <labl>1269</labl>
  </catgry>
  <catgry>
    <catValu>1268</catValu>
    <labl>1268</labl>
  </catgry>
  <catgry>
    <catValu>1264</catValu>
    <labl>1264</labl>
  </catgry>
  <catgry>
    <catValu>1262</catValu>
    <labl>1262</labl>
  </catgry>
  <catgry>
    <catValu>1258</catValu>
    <labl>1258</labl>
  </catgry>
  <catgry>
    <catValu>1257</catValu>
    <labl>1257</labl>
  </catgry>
  <catgry>
    <catValu>1255</catValu>
    <labl>1255</labl>
  </catgry>
  <catgry>
    <catValu>1250</catValu>
    <labl>1250</labl>
  </catgry>
  <catgry>
    <catValu>1249</catValu>
    <labl>1249</labl>
  </catgry>
  <catgry>
    <catValu>1248</catValu>
    <labl>1248</labl>
  </catgry>
  <catgry>
    <catValu>1247</catValu>
    <labl>1247</labl>
  </catgry>
  <catgry>
    <catValu>1246</catValu>
    <labl>1246</labl>
  </catgry>
  <catgry>
    <catValu>1244</catValu>
    <labl>1244</labl>
  </catgry>
  <catgry>
    <catValu>1243</catValu>
    <labl>1243</labl>
  </catgry>
  <catgry>
    <catValu>1242</catValu>
    <labl>1242</labl>
  </catgry>
  <catgry>
    <catValu>1241</catValu>
    <labl>1241</labl>
  </catgry>
  <catgry>
    <catValu>1240</catValu>
    <labl>1240</labl>
  </catgry>
  <catgry>
    <catValu>1239</catValu>
    <labl>1239</labl>
  </catgry>
  <catgry>
    <catValu>1231</catValu>
    <labl>1231</labl>
  </catgry>
  <catgry>
    <catValu>1223</catValu>
    <labl>1223</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>1220</labl>
  </catgry>
  <catgry>
    <catValu>1213</catValu>
    <labl>1213</labl>
  </catgry>
  <catgry>
    <catValu>1209</catValu>
    <labl>1209</labl>
  </catgry>
  <catgry>
    <catValu>1207</catValu>
    <labl>1207</labl>
  </catgry>
  <catgry>
    <catValu>1206</catValu>
    <labl>1206</labl>
  </catgry>
  <catgry>
    <catValu>1202</catValu>
    <labl>1202</labl>
  </catgry>
  <catgry>
    <catValu>1199</catValu>
    <labl>1199</labl>
  </catgry>
  <catgry>
    <catValu>1197</catValu>
    <labl>1197</labl>
  </catgry>
  <catgry>
    <catValu>1193</catValu>
    <labl>1193</labl>
  </catgry>
  <catgry>
    <catValu>1191</catValu>
    <labl>1191</labl>
  </catgry>
  <catgry>
    <catValu>1187</catValu>
    <labl>1187</labl>
  </catgry>
  <catgry>
    <catValu>1185</catValu>
    <labl>1185</labl>
  </catgry>
  <catgry>
    <catValu>1184</catValu>
    <labl>1184</labl>
  </catgry>
  <catgry>
    <catValu>1179</catValu>
    <labl>1179</labl>
  </catgry>
  <catgry>
    <catValu>1178</catValu>
    <labl>1178</labl>
  </catgry>
  <catgry>
    <catValu>1177</catValu>
    <labl>1177</labl>
  </catgry>
  <catgry>
    <catValu>1173</catValu>
    <labl>1173</labl>
  </catgry>
  <catgry>
    <catValu>1170</catValu>
    <labl>1170</labl>
  </catgry>
  <catgry>
    <catValu>1167</catValu>
    <labl>1167</labl>
  </catgry>
  <catgry>
    <catValu>1165</catValu>
    <labl>1165</labl>
  </catgry>
  <catgry>
    <catValu>1164</catValu>
    <labl>1164</labl>
  </catgry>
  <catgry>
    <catValu>1163</catValu>
    <labl>1163</labl>
  </catgry>
  <catgry>
    <catValu>1160</catValu>
    <labl>1160</labl>
  </catgry>
  <catgry>
    <catValu>1159</catValu>
    <labl>1159</labl>
  </catgry>
  <catgry>
    <catValu>1158</catValu>
    <labl>1158</labl>
  </catgry>
  <catgry>
    <catValu>1153</catValu>
    <labl>1153</labl>
  </catgry>
  <catgry>
    <catValu>1151</catValu>
    <labl>1151</labl>
  </catgry>
  <catgry>
    <catValu>1143</catValu>
    <labl>1143</labl>
  </catgry>
  <catgry>
    <catValu>1135</catValu>
    <labl>1135</labl>
  </catgry>
  <catgry>
    <catValu>1134</catValu>
    <labl>1134</labl>
  </catgry>
  <catgry>
    <catValu>1127</catValu>
    <labl>1127</labl>
  </catgry>
  <catgry>
    <catValu>1125</catValu>
    <labl>1125</labl>
  </catgry>
  <catgry>
    <catValu>1124</catValu>
    <labl>1124</labl>
  </catgry>
  <catgry>
    <catValu>1118</catValu>
    <labl>1118</labl>
  </catgry>
  <catgry>
    <catValu>1116</catValu>
    <labl>1116</labl>
  </catgry>
  <catgry>
    <catValu>1115</catValu>
    <labl>1115</labl>
  </catgry>
  <catgry>
    <catValu>1113</catValu>
    <labl>1113</labl>
  </catgry>
  <catgry>
    <catValu>1111</catValu>
    <labl>1111</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>1110</labl>
  </catgry>
  <catgry>
    <catValu>1109</catValu>
    <labl>1109</labl>
  </catgry>
  <catgry>
    <catValu>1108</catValu>
    <labl>1108</labl>
  </catgry>
  <catgry>
    <catValu>1107</catValu>
    <labl>1107</labl>
  </catgry>
  <catgry>
    <catValu>1105</catValu>
    <labl>1105</labl>
  </catgry>
  <catgry>
    <catValu>1103</catValu>
    <labl>1103</labl>
  </catgry>
  <catgry>
    <catValu>1102</catValu>
    <labl>1102</labl>
  </catgry>
  <catgry>
    <catValu>1096</catValu>
    <labl>1096</labl>
  </catgry>
  <catgry>
    <catValu>1092</catValu>
    <labl>1092</labl>
  </catgry>
  <catgry>
    <catValu>1090</catValu>
    <labl>1090</labl>
  </catgry>
  <catgry>
    <catValu>1084</catValu>
    <labl>1084</labl>
  </catgry>
  <catgry>
    <catValu>1079</catValu>
    <labl>1079</labl>
  </catgry>
  <catgry>
    <catValu>1068</catValu>
    <labl>1068</labl>
  </catgry>
  <catgry>
    <catValu>1066</catValu>
    <labl>1066</labl>
  </catgry>
  <catgry>
    <catValu>1065</catValu>
    <labl>1065</labl>
  </catgry>
  <catgry>
    <catValu>1062</catValu>
    <labl>1062</labl>
  </catgry>
  <catgry>
    <catValu>1058</catValu>
    <labl>1058</labl>
  </catgry>
  <catgry>
    <catValu>1049</catValu>
    <labl>1049</labl>
  </catgry>
  <catgry>
    <catValu>1047</catValu>
    <labl>1047</labl>
  </catgry>
  <catgry>
    <catValu>1036</catValu>
    <labl>1036</labl>
  </catgry>
  <txt>INTSTARTCMC reports the century month code (CMC) for the first month the survey was fielded, according to the DHS Program website.

The contextual variables in IPUMS DHS use the month in INTSTARTCMC as the month of the survey start date. The related variable INTENDCMC reports the century month code for the last month the survey was fielded, according to the DHS Program website.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year - 1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006). [URL omitted from DDI.].

The century month codes reported in INTSTARTCMC are calculated using the Gregorian calculator.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_INTENDCMC" name="C_INTENDCMC" files="C" intrvl="discrete">
  <labl>Century month code (CMC) for end of survey</labl>
  <imputation>Century month code (CMC) for end of survey</imputation>
  <security>Century month code (CMC) for end of survey</security>
  <embargo>Century month code (CMC) for end of survey</embargo>
  <respUnit>Century month code (CMC) for end of survey</respUnit>
  <catgry>
    <catValu>1418</catValu>
    <labl>1418</labl>
  </catgry>
  <catgry>
    <catValu>1417</catValu>
    <labl>1417</labl>
  </catgry>
  <catgry>
    <catValu>1403</catValu>
    <labl>1403</labl>
  </catgry>
  <catgry>
    <catValu>1420</catValu>
    <labl>1420</labl>
  </catgry>
  <catgry>
    <catValu>1039</catValu>
    <labl>1039</labl>
  </catgry>
  <catgry>
    <catValu>1051</catValu>
    <labl>1051</labl>
  </catgry>
  <catgry>
    <catValu>1052</catValu>
    <labl>1052</labl>
  </catgry>
  <catgry>
    <catValu>1062</catValu>
    <labl>1062</labl>
  </catgry>
  <catgry>
    <catValu>1066</catValu>
    <labl>1066</labl>
  </catgry>
  <catgry>
    <catValu>1069</catValu>
    <labl>1069</labl>
  </catgry>
  <catgry>
    <catValu>1070</catValu>
    <labl>1070</labl>
  </catgry>
  <catgry>
    <catValu>1073</catValu>
    <labl>1073</labl>
  </catgry>
  <catgry>
    <catValu>1085</catValu>
    <labl>1085</labl>
  </catgry>
  <catgry>
    <catValu>1090</catValu>
    <labl>1090</labl>
  </catgry>
  <catgry>
    <catValu>1092</catValu>
    <labl>1092</labl>
  </catgry>
  <catgry>
    <catValu>1097</catValu>
    <labl>1097</labl>
  </catgry>
  <catgry>
    <catValu>1101</catValu>
    <labl>1101</labl>
  </catgry>
  <catgry>
    <catValu>1105</catValu>
    <labl>1105</labl>
  </catgry>
  <catgry>
    <catValu>1107</catValu>
    <labl>1107</labl>
  </catgry>
  <catgry>
    <catValu>1108</catValu>
    <labl>1108</labl>
  </catgry>
  <catgry>
    <catValu>1109</catValu>
    <labl>1109</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>1110</labl>
  </catgry>
  <catgry>
    <catValu>1114</catValu>
    <labl>1114</labl>
  </catgry>
  <catgry>
    <catValu>1115</catValu>
    <labl>1115</labl>
  </catgry>
  <catgry>
    <catValu>1118</catValu>
    <labl>1118</labl>
  </catgry>
  <catgry>
    <catValu>1119</catValu>
    <labl>1119</labl>
  </catgry>
  <catgry>
    <catValu>1124</catValu>
    <labl>1124</labl>
  </catgry>
  <catgry>
    <catValu>1125</catValu>
    <labl>1125</labl>
  </catgry>
  <catgry>
    <catValu>1126</catValu>
    <labl>1126</labl>
  </catgry>
  <catgry>
    <catValu>1130</catValu>
    <labl>1130</labl>
  </catgry>
  <catgry>
    <catValu>1131</catValu>
    <labl>1131</labl>
  </catgry>
  <catgry>
    <catValu>1139</catValu>
    <labl>1139</labl>
  </catgry>
  <catgry>
    <catValu>1148</catValu>
    <labl>1148</labl>
  </catgry>
  <catgry>
    <catValu>1153</catValu>
    <labl>1153</labl>
  </catgry>
  <catgry>
    <catValu>1157</catValu>
    <labl>1157</labl>
  </catgry>
  <catgry>
    <catValu>1158</catValu>
    <labl>1158</labl>
  </catgry>
  <catgry>
    <catValu>1160</catValu>
    <labl>1160</labl>
  </catgry>
  <catgry>
    <catValu>1163</catValu>
    <labl>1163</labl>
  </catgry>
  <catgry>
    <catValu>1165</catValu>
    <labl>1165</labl>
  </catgry>
  <catgry>
    <catValu>1167</catValu>
    <labl>1167</labl>
  </catgry>
  <catgry>
    <catValu>1168</catValu>
    <labl>1168</labl>
  </catgry>
  <catgry>
    <catValu>1171</catValu>
    <labl>1171</labl>
  </catgry>
  <catgry>
    <catValu>1174</catValu>
    <labl>1174</labl>
  </catgry>
  <catgry>
    <catValu>1176</catValu>
    <labl>1176</labl>
  </catgry>
  <catgry>
    <catValu>1182</catValu>
    <labl>1182</labl>
  </catgry>
  <catgry>
    <catValu>1183</catValu>
    <labl>1183</labl>
  </catgry>
  <catgry>
    <catValu>1185</catValu>
    <labl>1185</labl>
  </catgry>
  <catgry>
    <catValu>1187</catValu>
    <labl>1187</labl>
  </catgry>
  <catgry>
    <catValu>1190</catValu>
    <labl>1190</labl>
  </catgry>
  <catgry>
    <catValu>1191</catValu>
    <labl>1191</labl>
  </catgry>
  <catgry>
    <catValu>1193</catValu>
    <labl>1193</labl>
  </catgry>
  <catgry>
    <catValu>1195</catValu>
    <labl>1195</labl>
  </catgry>
  <catgry>
    <catValu>1199</catValu>
    <labl>1199</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>1200</labl>
  </catgry>
  <catgry>
    <catValu>1203</catValu>
    <labl>1203</labl>
  </catgry>
  <catgry>
    <catValu>1204</catValu>
    <labl>1204</labl>
  </catgry>
  <catgry>
    <catValu>1205</catValu>
    <labl>1205</labl>
  </catgry>
  <catgry>
    <catValu>1207</catValu>
    <labl>1207</labl>
  </catgry>
  <catgry>
    <catValu>1208</catValu>
    <labl>1208</labl>
  </catgry>
  <catgry>
    <catValu>1211</catValu>
    <labl>1211</labl>
  </catgry>
  <catgry>
    <catValu>1212</catValu>
    <labl>1212</labl>
  </catgry>
  <catgry>
    <catValu>1215</catValu>
    <labl>1215</labl>
  </catgry>
  <catgry>
    <catValu>1217</catValu>
    <labl>1217</labl>
  </catgry>
  <catgry>
    <catValu>1218</catValu>
    <labl>1218</labl>
  </catgry>
  <catgry>
    <catValu>1223</catValu>
    <labl>1223</labl>
  </catgry>
  <catgry>
    <catValu>1229</catValu>
    <labl>1229</labl>
  </catgry>
  <catgry>
    <catValu>1233</catValu>
    <labl>1233</labl>
  </catgry>
  <catgry>
    <catValu>1242</catValu>
    <labl>1242</labl>
  </catgry>
  <catgry>
    <catValu>1244</catValu>
    <labl>1244</labl>
  </catgry>
  <catgry>
    <catValu>1245</catValu>
    <labl>1245</labl>
  </catgry>
  <catgry>
    <catValu>1246</catValu>
    <labl>1246</labl>
  </catgry>
  <catgry>
    <catValu>1247</catValu>
    <labl>1247</labl>
  </catgry>
  <catgry>
    <catValu>1249</catValu>
    <labl>1249</labl>
  </catgry>
  <catgry>
    <catValu>1250</catValu>
    <labl>1250</labl>
  </catgry>
  <catgry>
    <catValu>1251</catValu>
    <labl>1251</labl>
  </catgry>
  <catgry>
    <catValu>1253</catValu>
    <labl>1253</labl>
  </catgry>
  <catgry>
    <catValu>1256</catValu>
    <labl>1256</labl>
  </catgry>
  <catgry>
    <catValu>1261</catValu>
    <labl>1261</labl>
  </catgry>
  <catgry>
    <catValu>1262</catValu>
    <labl>1262</labl>
  </catgry>
  <catgry>
    <catValu>1265</catValu>
    <labl>1265</labl>
  </catgry>
  <catgry>
    <catValu>1266</catValu>
    <labl>1266</labl>
  </catgry>
  <catgry>
    <catValu>1267</catValu>
    <labl>1267</labl>
  </catgry>
  <catgry>
    <catValu>1268</catValu>
    <labl>1268</labl>
  </catgry>
  <catgry>
    <catValu>1272</catValu>
    <labl>1272</labl>
  </catgry>
  <catgry>
    <catValu>1274</catValu>
    <labl>1274</labl>
  </catgry>
  <catgry>
    <catValu>1275</catValu>
    <labl>1275</labl>
  </catgry>
  <catgry>
    <catValu>1276</catValu>
    <labl>1276</labl>
  </catgry>
  <catgry>
    <catValu>1277</catValu>
    <labl>1277</labl>
  </catgry>
  <catgry>
    <catValu>1280</catValu>
    <labl>1280</labl>
  </catgry>
  <catgry>
    <catValu>1282</catValu>
    <labl>1282</labl>
  </catgry>
  <catgry>
    <catValu>1283</catValu>
    <labl>1283</labl>
  </catgry>
  <catgry>
    <catValu>1284</catValu>
    <labl>1284</labl>
  </catgry>
  <catgry>
    <catValu>1286</catValu>
    <labl>1286</labl>
  </catgry>
  <catgry>
    <catValu>1287</catValu>
    <labl>1287</labl>
  </catgry>
  <catgry>
    <catValu>1292</catValu>
    <labl>1292</labl>
  </catgry>
  <catgry>
    <catValu>1294</catValu>
    <labl>1294</labl>
  </catgry>
  <catgry>
    <catValu>1295</catValu>
    <labl>1295</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>1300</labl>
  </catgry>
  <catgry>
    <catValu>1302</catValu>
    <labl>1302</labl>
  </catgry>
  <catgry>
    <catValu>1306</catValu>
    <labl>1306</labl>
  </catgry>
  <catgry>
    <catValu>1307</catValu>
    <labl>1307</labl>
  </catgry>
  <catgry>
    <catValu>1310</catValu>
    <labl>1310</labl>
  </catgry>
  <catgry>
    <catValu>1316</catValu>
    <labl>1316</labl>
  </catgry>
  <catgry>
    <catValu>1320</catValu>
    <labl>1320</labl>
  </catgry>
  <catgry>
    <catValu>1321</catValu>
    <labl>1321</labl>
  </catgry>
  <catgry>
    <catValu>1325</catValu>
    <labl>1325</labl>
  </catgry>
  <catgry>
    <catValu>1331</catValu>
    <labl>1331</labl>
  </catgry>
  <catgry>
    <catValu>1333</catValu>
    <labl>1333</labl>
  </catgry>
  <catgry>
    <catValu>1335</catValu>
    <labl>1335</labl>
  </catgry>
  <catgry>
    <catValu>1336</catValu>
    <labl>1336</labl>
  </catgry>
  <catgry>
    <catValu>1337</catValu>
    <labl>1337</labl>
  </catgry>
  <catgry>
    <catValu>1338</catValu>
    <labl>1338</labl>
  </catgry>
  <catgry>
    <catValu>1340</catValu>
    <labl>1340</labl>
  </catgry>
  <catgry>
    <catValu>1343</catValu>
    <labl>1343</labl>
  </catgry>
  <catgry>
    <catValu>1344</catValu>
    <labl>1344</labl>
  </catgry>
  <catgry>
    <catValu>1347</catValu>
    <labl>1347</labl>
  </catgry>
  <catgry>
    <catValu>1349</catValu>
    <labl>1349</labl>
  </catgry>
  <catgry>
    <catValu>1350</catValu>
    <labl>1350</labl>
  </catgry>
  <catgry>
    <catValu>1354</catValu>
    <labl>1354</labl>
  </catgry>
  <catgry>
    <catValu>1356</catValu>
    <labl>1356</labl>
  </catgry>
  <catgry>
    <catValu>1358</catValu>
    <labl>1358</labl>
  </catgry>
  <catgry>
    <catValu>1360</catValu>
    <labl>1360</labl>
  </catgry>
  <catgry>
    <catValu>1362</catValu>
    <labl>1362</labl>
  </catgry>
  <catgry>
    <catValu>1365</catValu>
    <labl>1365</labl>
  </catgry>
  <catgry>
    <catValu>1367</catValu>
    <labl>1367</labl>
  </catgry>
  <catgry>
    <catValu>1370</catValu>
    <labl>1370</labl>
  </catgry>
  <catgry>
    <catValu>1372</catValu>
    <labl>1372</labl>
  </catgry>
  <catgry>
    <catValu>1374</catValu>
    <labl>1374</labl>
  </catgry>
  <catgry>
    <catValu>1378</catValu>
    <labl>1378</labl>
  </catgry>
  <catgry>
    <catValu>1379</catValu>
    <labl>1379</labl>
  </catgry>
  <catgry>
    <catValu>1380</catValu>
    <labl>1380</labl>
  </catgry>
  <catgry>
    <catValu>1384</catValu>
    <labl>1384</labl>
  </catgry>
  <catgry>
    <catValu>1390</catValu>
    <labl>1390</labl>
  </catgry>
  <catgry>
    <catValu>1392</catValu>
    <labl>1392</labl>
  </catgry>
  <catgry>
    <catValu>1394</catValu>
    <labl>1394</labl>
  </catgry>
  <catgry>
    <catValu>1398</catValu>
    <labl>1398</labl>
  </catgry>
  <catgry>
    <catValu>1399</catValu>
    <labl>1399</labl>
  </catgry>
  <catgry>
    <catValu>1402</catValu>
    <labl>1402</labl>
  </catgry>
  <catgry>
    <catValu>1404</catValu>
    <labl>1404</labl>
  </catgry>
  <catgry>
    <catValu>1405</catValu>
    <labl>1405</labl>
  </catgry>
  <catgry>
    <catValu>1406</catValu>
    <labl>1406</labl>
  </catgry>
  <catgry>
    <catValu>1416</catValu>
    <labl>1416</labl>
  </catgry>
  <txt>INTENDCMC reports the century month code (CMC) for the last month the survey was fielded, according to the DHS Program website.

The related variable INTSTARTCMC reports the century month code for the first month the survey was fielded, according to the DHS Program website. The contextual variables in IPUMS DHS use the month in INTSTARTCMC as the month of the survey start date.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year - 1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006). [URL omitted from DDI.].

The century month codes reported in INTENDCMC are calculated using the Gregorian calculator.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_INTSTART" name="C_INTSTART" files="C" intrvl="discrete">
  <labl>Time interview started (hhmm - 24 hour clock)</labl>
  <imputation>Time interview started (hhmm - 24 hour clock)</imputation>
  <security>Time interview started (hhmm - 24 hour clock)</security>
  <embargo>Time interview started (hhmm - 24 hour clock)</embargo>
  <respUnit>Time interview started (hhmm - 24 hour clock)</respUnit>
  <qstn>
    <qstnLit>101) RECORD TIME

HOUR: ___
MINUTES: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>INTSTART (V801) reports the time of the start of the interview. The first two digits give the time in hours using the 24-hour clock, and the last two digits give the minutes within that hour. For example, a code of "1349" indicates the interview began at 1:49 P.M.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_INTEND" name="C_INTEND" files="C" intrvl="discrete">
  <labl>Time interview ended (hhmm - 24 hour clock)</labl>
  <imputation>Time interview ended (hhmm - 24 hour clock)</imputation>
  <security>Time interview ended (hhmm - 24 hour clock)</security>
  <embargo>Time interview ended (hhmm - 24 hour clock)</embargo>
  <respUnit>Time interview ended (hhmm - 24 hour clock)</respUnit>
  <qstn>
    <qstnLit>819) RECORD TIME

HOUR: ___
MINUTES: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>INTEND (V802) reports the time of the end of the interview. The first two digits give the time in hours using the 24-hour clock, and the last two digits give the minutes within that hour. For example, a code of "1349" indicates the interview ended at 1:49 P.M.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_INTDURATION" name="C_INTDURATION" files="C" intrvl="discrete">
  <labl>Length of interview (minutes)</labl>
  <imputation>Length of interview (minutes)</imputation>
  <security>Length of interview (minutes)</security>
  <embargo>Length of interview (minutes)</embargo>
  <respUnit>Length of interview (minutes)</respUnit>
  <qstn>
    <qstnLit>819) RECORD TIME

HOUR: ___
MINUTES: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>0 minutes</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>95+</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>2+ visits</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>INTDURATION (V803) reports the duration of the female interview (in minutes). The duration is top-coded at 95 minutes. Interviews that required more than one visit (INTVISITNO (V804) are coded as "96" for "2+ visits."

INTDURATION is calculated based on the interview's start and end times in INTSTART (V801) and INTEND (V802).</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_INTVISITNO" name="C_INTVISITNO" files="C" intrvl="discrete">
  <labl>Number of visits for the interview</labl>
  <imputation>Number of visits for the interview</imputation>
  <security>Number of visits for the interview</security>
  <embargo>Number of visits for the interview</embargo>
  <respUnit>Number of visits for the interview</respUnit>
  <qstn>
    <qstnLit>TOTAL NUMBER OF VISITS ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>INTVISITNO (V804) reports the number of visits required to complete the female interview.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_INTRESULT" name="C_INTRESULT" files="C" intrvl="discrete">
  <labl>Result of individual interview</labl>
  <imputation>Result of individual interview</imputation>
  <security>Result of individual interview</security>
  <embargo>Result of individual interview</embargo>
  <respUnit>Result of individual interview</respUnit>
  <qstn>
    <qstnLit>COMPLETED 1
NOT AT HOME 2
POSTPONED 3
REFUSED 4
PARTIALLY FILLED OUT 5
OTHER (SPECIFY): ___ 6</qstnLit>
  </qstn>
  <catgry>
    <catValu>7</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Respondent Incapacitated</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Partly completed</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Refused</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Postponed</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Not at home</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Completed</labl>
  </catgry>
  <txt>INTRESULT (V015) reports the result of the individual interview. Code 1 represents a completed interview.  Only completed interview cases are included in the DHS women's individual recode files, which provide the source material for IPUMS-DHS.</txt>
  <concept>
    <title>General technical Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_EVMARALLSAMP" name="C_EVMARALLSAMP" files="C" intrvl="discrete">
  <labl>Ever-married or all-women sample</labl>
  <imputation>Ever-married or all-women sample</imputation>
  <security>Ever-married or all-women sample</security>
  <embargo>Ever-married or all-women sample</embargo>
  <respUnit>Ever-married or all-women sample</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>All women sample</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Ever-married women sample</labl>
  </catgry>
  <txt>EVMARALLSAMP (V020) indicates whether the sample includes only ever-married women or includes all women of childbearing age.</txt>
  <concept>
    <title>General technical Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_INTERVIEWERIDIR" name="C_INTERVIEWERIDIR" files="C" intrvl="discrete">
  <labl>Identification number of interviewer, women's survey</labl>
  <imputation>Identification number of interviewer, women's survey</imputation>
  <security>Identification number of interviewer, women's survey</security>
  <embargo>Identification number of interviewer, women's survey</embargo>
  <respUnit>Identification number of interviewer, women's survey</respUnit>
  <qstn>
    <qstnLit>INTERVIEWER:
(REPEAT FOR SECOND AND THIRD INTERVIEWERS)
DATE__
DAY__
MONTH__
YEAR__
INTERVIEWER NAME___
RESULTS___

NEXT VISIT [FOR INTERVIEWERS 1 AND 2]:
DATE__
TIME__

FINAL VISIT:
DAY__
MONTH__
YEAR 19__
INTERVIEWER__
RESULT__</qstnLit>
  </qstn>
  <txt>INTERVIEWERIDIR (V028) reports the interviewer identification code for the interviewer conducting the individual women's interviews for women of childbearing age. Codes are country- and sample-specific; a given numeric code in one survey refers to a different person than the same numeric code in another survey. Numbering of interviewer codes is not necessarily consecutive; some surveys use "0" as an identification code, for example, while others begin with a 3-digit number. Using the interviewer identification codes, researchers can evaluate whether the quality of responses (e.g., the number of "missing" cases) depended on the person conducting the interview.</txt>
  <concept>
    <title>General technical Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_INTERVIEWERIDHH" name="C_INTERVIEWERIDHH" files="C" intrvl="discrete">
  <labl>Identification number of interviewer, household survey</labl>
  <imputation>Identification number of interviewer, household survey</imputation>
  <security>Identification number of interviewer, household survey</security>
  <embargo>Identification number of interviewer, household survey</embargo>
  <respUnit>Identification number of interviewer, household survey</respUnit>
  <qstn>
    <qstnLit>INTERVIEWER:
(REPEAT FOR SECOND AND THIRD INTERVIEWERS)
DATE__
DAY__
MONTH__
YEAR__
INTERVIEWER NAME___
RESULTS___</qstnLit>
  </qstn>
  <txt>INTERVIEWERIDHH (HV018) reports the interviewer identification code for the interviewer conducting the household survey. Codes are country- and sample-specific; a given numeric code in one survey refers to a different person than the same numeric code in another survey. Numbering of interviewer codes is not necessarily consecutive; some surveys use "0" as an identification code, for example, while others begin with a 3-digit number. Using the interviewer identification codes, researchers can evaluate whether the quality of responses (e.g., the number of "missing" cases) depended on the person conducting the interview.</txt>
  <concept>
    <title>General technical Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_URBAN" name="C_URBAN" files="C" intrvl="discrete">
  <labl>Urban-rural status</labl>
  <imputation>Urban-rural status</imputation>
  <security>Urban-rural status</security>
  <embargo>Urban-rural status</embargo>
  <respUnit>Urban-rural status</respUnit>
  <qstn>
    <qstnLit>VILLAGE/QUARTER ___

NIAMEY 1
AGADEZ, MARADI, TAHOUA, ZINDER 2
OTHER CITY 3
RURAL 4</qstnLit>
  </qstn>
  <catgry>
    <catValu>2</catValu>
    <labl>Rural</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Urban</labl>
  </catgry>
  <txt>URBAN (V025) indicates whether the person's de facto residence was in an urban or rural location. The definition of urban varies across countries. See Comparability.</txt>
  <concept>
    <title>Geography, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DEFACTORES" name="C_DEFACTORES" files="C" intrvl="discrete">
  <labl>De facto place of residence</labl>
  <imputation>De facto place of residence</imputation>
  <security>De facto place of residence</security>
  <embargo>De facto place of residence</embargo>
  <respUnit>De facto place of residence</respUnit>
  <qstn>
    <qstnLit>VILLAGE/QUARTER ___

NIAMEY 1
AGADEZ, MARADI, TAHOUA, ZINDER 2
OTHER CITY 3
RURAL 4</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>City</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Capital or other large city</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Other city</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Town or countryside</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Town</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Countryside</labl>
  </catgry>
  <txt>DEFACTORES (V026) reports the type of place--city, town, or countryside--where the person was interviewed.</txt>
  <concept>
    <title>Geography, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_RESIDEINTYR" name="C_RESIDEINTYR" files="C" intrvl="discrete">
  <labl>Years lived in place of residence</labl>
  <imputation>Years lived in place of residence</imputation>
  <security>Years lived in place of residence</security>
  <embargo>Years lived in place of residence</embargo>
  <respUnit>Years lived in place of residence</respUnit>
  <qstn>
    <qstnLit>103) For how long have you been a long-term resident of (NAME OF CURRENT RESIDENCE)?

NUMBER OF YEARS: ___
ALWAYS 95 (GO TO 105)
JUST VISITING 96 (GO TO 105)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Always</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Visitor</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RESIDEINTYR (V104) reports the number of years the woman had been living continuously in the village, town, or city where she was interviewed.</txt>
  <concept>
    <title>Migration Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PREVRESTYP" name="C_PREVRESTYP" files="C" intrvl="discrete">
  <labl>Type of place of previous residence</labl>
  <imputation>Type of place of previous residence</imputation>
  <security>Type of place of previous residence</security>
  <embargo>Type of place of previous residence</embargo>
  <respUnit>Type of place of previous residence</respUnit>
  <qstn>
    <qstnLit>104) Just before moving here, did you live in the city of Niamey, in another capital in Agadez, Maradi, Tahous, Zinder or other large foreign city, in a town or the country?

NIAMEY/OTHER CAPITAL 1
AGADEZ/MARADI/TAOUA/ZINDER/OTHER LARGE FOREIGN CITY 2
TOWN 3
COUNTRY 4</qstnLit>
  </qstn>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Other or abroad</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Town or countryside</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Other city</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Capital or other large city</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>City</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Abroad</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Town</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Countryside</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Separated camp</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Tribal area</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Informal settlement</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>Other, unspecified</labl>
  </catgry>
  <txt>PREVRESTYP (V105) reports the type of place--city, town, countryside, or a site abroad--where the person lived just before moving to the current place of residence.</txt>
  <concept>
    <title>Migration Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_KIDRESTYP" name="C_KIDRESTYP" files="C" intrvl="discrete">
  <labl>Childhood place of residence</labl>
  <imputation>Childhood place of residence</imputation>
  <security>Childhood place of residence</security>
  <embargo>Childhood place of residence</embargo>
  <respUnit>Childhood place of residence</respUnit>
  <qstn>
    <qstnLit>102) To begin, I'd like to ask you some questions about yourself and your household.
During the majority of the first 12 years of your life, did you live in the city of Niamey, in another capital in Agadez, Maradi, Tahous, Zinder or other large foreign city, in a town or the country?

NIAMEY/OTHER CAPITAL 1
AGADEZ/MARADI/TAOUA/ZINDER/OTHER LARGE FOREIGN CITY 2
TOWN 3
COUNTRY 4</qstnLit>
  </qstn>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Town or countryside</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Other city or town</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Other city</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Capital or large city</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>City</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Abroad</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Town</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Countryside</labl>
  </catgry>
  <txt>KIDRESTYP (V103) reports the type of place--city, town, countryside, or somewhere abroad--where the woman lived for most of her childhood (usually defined as prior to age 12). Due to country- and survey-level variation in data collection, IPUMS-DHS uses composite coding to maximize comparability across samples for this variable.</txt>
  <concept>
    <title>Migration Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_GEO_NE1992_2012" name="C_GEO_NE1992_2012" files="C" intrvl="discrete">
  <labl>Niger regions, 1992-2012 [integrated; GIS]</labl>
  <imputation>Niger regions, 1992-2012 [integrated; GIS]</imputation>
  <security>Niger regions, 1992-2012 [integrated; GIS]</security>
  <embargo>Niger regions, 1992-2012 [integrated; GIS]</embargo>
  <respUnit>Niger regions, 1992-2012 [integrated; GIS]</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>Tahoua/Agadez</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Zinder/Diffa</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Dossa</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Maradi</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Tillaberi</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Niamey</labl>
  </catgry>
  <txt>GEO_ NE1992_2012 indicates the region of Niger where the respondent was interviewed. The variable is integrated to yield units with consistent boundaries across samples.

Labels identify the modern geographic units (regions) contained in each integrated region. Each sample also has its own non-integrated geography variable. The 1992, 2006, and 2012 samples have greater geographic detail available in their sample-specific variables.

An integrated GIS map (in shapefile format) for Niger can be downloaded here [URL omitted from DDI.].</txt>
  <concept>
    <title>Integrated geography Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_GEO_NE1992" name="C_GEO_NE1992" files="C" intrvl="discrete">
  <labl>Niger regions, 1992 [GIS]</labl>
  <imputation>Niger regions, 1992 [GIS]</imputation>
  <security>Niger regions, 1992 [GIS]</security>
  <embargo>Niger regions, 1992 [GIS]</embargo>
  <respUnit>Niger regions, 1992 [GIS]</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>Niamey</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Agadez</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Diffa</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Dossa</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Maradi</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Tahoua</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Tillaberi</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Zinder</labl>
  </catgry>
  <txt>GEO_NE1992 (V101_NE1992) indicates the region of Niger where the respondent was interviewed. DHS units in the 1992 Niger survey are equivalent to grouped regions.

Other sample years have their own sample-specific geography variables. There is also an integrated variable, GEO_NE1992_2012, that provides spatially consistent units over time.

A GIS map for GEO_NE1992 (in shapefile format) can be downloaded from the DHS Program Spatial Data Repository [URL omitted from DDI.] Boundaries page.</txt>
  <concept>
    <title>Single sample geography Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_AGE" name="C_AGE" files="C" intrvl="discrete">
  <labl>Age</labl>
  <imputation>Age</imputation>
  <security>Age</security>
  <embargo>Age</embargo>
  <respUnit>Age</respUnit>
  <qstn>
    <qstnLit>106) How old were you at your last birthday?

COMPARE AND CORRECT IF 105 AND 106 ARE INCOMPATIBLE.

AGE IN COMPLETED YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <txt>AGE (V012) reports the woman's age. DHS surveys collect information about the woman's age through questions about age at last birthday and date of birth.  DHS Recode Manuals provide the following information about how the AGE variable is calculated:

Current age in completed years is calculated from the century month code of the date of birth of the respondent (V011) and the century month code of the date of interview (V008). In a few cases the age in the data file will be different from that reported by the respondent when the respondent's birthday was in the month of interview, but she had not yet had her birthday. If the respondent correctly reported her age at her last birthday (and not her age at her next birthday) then the calculated age was rounded up from the reported age, to avoid inconsistencies between the age and the century month code for the birth.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_AGE5YEAR" name="C_AGE5YEAR" files="C" intrvl="discrete">
  <labl>Age in 5 year groups</labl>
  <imputation>Age in 5 year groups</imputation>
  <security>Age in 5 year groups</security>
  <embargo>Age in 5 year groups</embargo>
  <respUnit>Age in 5 year groups</respUnit>
  <qstn>
    <qstnLit>106) How old were you at your last birthday?

COMPARE AND CORRECT IF 105 AND 106 ARE INCOMPATIBLE.

AGE IN COMPLETED YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>10 to 14</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>10 to 14</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12 to 14</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13 to 14</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>15-19</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>20-24</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>25-29</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>30-34</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>35-39</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>40-44</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>45-49</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>50+</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>50-54</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>55-59</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>60-64</labl>
  </catgry>
  <txt>AGE5YEAR (V013) reports the woman's age in 5-year groups, based on data from the AGE (V012) variable. The age range of women interviewed varies across samples. See Comparability.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BIRTHMO" name="C_BIRTHMO" files="C" intrvl="discrete">
  <labl>Woman's month of birth</labl>
  <imputation>Woman's month of birth</imputation>
  <security>Woman's month of birth</security>
  <embargo>Woman's month of birth</embargo>
  <respUnit>Woman's month of birth</respUnit>
  <qstn>
    <qstnLit>105) In what month and year were you born?

MONTH: ___
DON'T KNOW 98

YEAR: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <txt>BIRTHMO (V009) reports the woman's month of birth.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BIRTHYEAR" name="C_BIRTHYEAR" files="C" intrvl="discrete">
  <labl>Woman's year of birth</labl>
  <imputation>Woman's year of birth</imputation>
  <security>Woman's year of birth</security>
  <embargo>Woman's year of birth</embargo>
  <respUnit>Woman's year of birth</respUnit>
  <qstn>
    <qstnLit>105) In what month and year were you born?

MONTH: ___
DON'T KNOW 98

YEAR: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1952</catValu>
    <labl>1952</labl>
  </catgry>
  <catgry>
    <catValu>1951</catValu>
    <labl>1951</labl>
  </catgry>
  <catgry>
    <catValu>1950</catValu>
    <labl>1950</labl>
  </catgry>
  <catgry>
    <catValu>1949</catValu>
    <labl>1949</labl>
  </catgry>
  <catgry>
    <catValu>1948</catValu>
    <labl>1948</labl>
  </catgry>
  <catgry>
    <catValu>1947</catValu>
    <labl>1947</labl>
  </catgry>
  <catgry>
    <catValu>1946</catValu>
    <labl>1946</labl>
  </catgry>
  <catgry>
    <catValu>1945</catValu>
    <labl>1945</labl>
  </catgry>
  <catgry>
    <catValu>1944</catValu>
    <labl>1944</labl>
  </catgry>
  <catgry>
    <catValu>1943</catValu>
    <labl>1943</labl>
  </catgry>
  <catgry>
    <catValu>1942</catValu>
    <labl>1942</labl>
  </catgry>
  <catgry>
    <catValu>1941</catValu>
    <labl>1941</labl>
  </catgry>
  <catgry>
    <catValu>1940</catValu>
    <labl>1940</labl>
  </catgry>
  <catgry>
    <catValu>1939</catValu>
    <labl>1939</labl>
  </catgry>
  <catgry>
    <catValu>1938</catValu>
    <labl>1938</labl>
  </catgry>
  <catgry>
    <catValu>1937</catValu>
    <labl>1937</labl>
  </catgry>
  <catgry>
    <catValu>1936</catValu>
    <labl>1936</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <txt>BIRTHYEAR (V010) reports the woman's year of birth.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DOBCMC" name="C_DOBCMC" files="C" intrvl="contin">
  <labl>Respondent's date of birth, in century months</labl>
  <imputation>Respondent's date of birth, in century months</imputation>
  <security>Respondent's date of birth, in century months</security>
  <embargo>Respondent's date of birth, in century months</embargo>
  <respUnit>Respondent's date of birth, in century months</respUnit>
  <qstn>
    <qstnLit>105) In what month and year were you born?

MONTH: ___
DON'T KNOW 98

YEAR: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <txt>DOBCMC (V011) reports the century month code (CMC) for the woman's date of birth.

Century month codes (CMC) are particularly useful for checking the consistency of dates, calculating intervals between events, and imputing dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year - 1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006) [URL omitted from DDI.].</txt>
  <codInstr>DOBCMC (V011) is a 4-digit variable.</codInstr>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DOBINFORESP" name="C_DOBINFORESP" files="C" intrvl="discrete">
  <labl>Information given on respondent's date of birth</labl>
  <imputation>Information given on respondent's date of birth</imputation>
  <security>Information given on respondent's date of birth</security>
  <embargo>Information given on respondent's date of birth</embargo>
  <respUnit>Information given on respondent's date of birth</respUnit>
  <qstn>
    <qstnLit>105) In what month and year were you born?

MONTH: ___
DON'T KNOW 98

YEAR: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Month and year</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Month and age, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Year and age, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Year and age, year ignored</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Year only, age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Age only, year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Month only, age and year imputed</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Season and year</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>None reported, all imputed</labl>
  </catgry>
  <txt>DOBINFORESP (V014) reports the completeness of information about the respondent's age and date of birth. A code of 0 indicates the month and the year were reported, and no data were imputed.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_RESIDENT" name="C_RESIDENT" files="C" intrvl="discrete">
  <labl>Usual resident or visitor</labl>
  <imputation>Usual resident or visitor</imputation>
  <security>Usual resident or visitor</security>
  <embargo>Usual resident or visitor</embargo>
  <respUnit>Usual resident or visitor</respUnit>
  <qstn>
    <qstnLit>4) RESIDENCE:
Does (NAME) normally live here?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Usual resident</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Visitor</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RESIDENT (V135) indicates whether the woman was a usual resident of the household or was just visiting there. As defined by the RESIDENT variable, a visitor could potentially reside in the city, town, or village where the interview took place but would have answered "No" to the question, "Does (NAME) usually live here [in this dwelling unit]?" on the household questionnaire.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_RELATE" name="C_RELATE" files="C" intrvl="discrete">
  <labl>Respondent's relationship to HH head</labl>
  <imputation>Respondent's relationship to HH head</imputation>
  <security>Respondent's relationship to HH head</security>
  <embargo>Respondent's relationship to HH head</embargo>
  <respUnit>Respondent's relationship to HH head</respUnit>
  <qstn>
    <qstnLit>3) RELATIONSHIP TO HEAD OF HOUSEHOLD:
What is the familial relation between (NAME) and the head of household?

HEAD OF HOUSEHOLD 01
WIFE OR HUSBAND 02
SON OR DAUGHTER 03
SON OR DAUGHTER-IN-LAW 04
GRANDSON OR GRANDDAUGHTER 05
FATHER OR MOTHER 06
PARENT-IN-LAW 07
BROTHER OR SISTER 08
CO-SPOUSE 09
OTHER RELATIVE 10
ADOPTED/FOSTER/STEP CHILD 11
NO FAMILY RELATIONSHIP 12
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Head</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Wife</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Daughter or son</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Daughter- or son-in-law</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Grandchild</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Mother or father</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Parent-in-law</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Sister or brother</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Co-spouse</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Adopted/foster/step child</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Adopted/foster child</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Stepchild</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Other relative</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Niece or nephew by blood</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Niece or nephew by marriage</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Niece or nephew unspecified</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Sibling-in-law</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Aunt or uncle</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Grandparent</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Nonrelative</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Domestic servant/employee</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Herdboy</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RELATE (V150) reports the woman's relationship to the head of the household, based on a question in the household questionnaire.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PREGNANT" name="C_PREGNANT" files="C" intrvl="discrete">
  <labl>Currently pregnant</labl>
  <imputation>Currently pregnant</imputation>
  <security>Currently pregnant</security>
  <embargo>Currently pregnant</embargo>
  <respUnit>Currently pregnant</respUnit>
  <qstn>
    <qstnLit>223) Are you pregnant now?

YES 1
NO 2 (GO TO 226)
UNSURE 8 (GO TO 226)</qstnLit>
  </qstn>
  <catgry>
    <labl>No/unsure</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>PREGNANT (V213) indicates whether the respondent is currently pregnant.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DURCURPREG" name="C_DURCURPREG" files="C" intrvl="discrete">
  <labl>Duration of current pregnancy</labl>
  <imputation>Duration of current pregnancy</imputation>
  <security>Duration of current pregnancy</security>
  <embargo>Duration of current pregnancy</embargo>
  <respUnit>Duration of current pregnancy</respUnit>
  <qstn>
    <qstnLit>224) How many months pregnant are you?

MONTHS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For currently pregnant women, DURCURPREG (V214) reports the imputed duration of the woman's current pregnancy.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_RELIGION" name="C_RELIGION" files="C" intrvl="discrete">
  <labl>Religion</labl>
  <imputation>Religion</imputation>
  <security>Religion</security>
  <embargo>Religion</embargo>
  <respUnit>Religion</respUnit>
  <qstn>
    <qstnLit>115) What is your religion?

MUSLIM 1
CHRISTIAN 2
ANIMIST 3
OTHER (SPECIFY): ___ 4</qstnLit>
  </qstn>
  <catgry>
    <catValu>0000</catValu>
    <labl>NO RELIGION</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>MUSLIM</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>CHRISTIAN</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Catholic</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Orthodox</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Protestant</labl>
  </catgry>
  <catgry>
    <catValu>2310</catValu>
    <labl>Lutheran</labl>
  </catgry>
  <catgry>
    <catValu>2320</catValu>
    <labl>Anglican</labl>
  </catgry>
  <catgry>
    <catValu>2330</catValu>
    <labl>Presbyterian</labl>
  </catgry>
  <catgry>
    <catValu>2340</catValu>
    <labl>Baptist/Seventh-day Adventist</labl>
  </catgry>
  <catgry>
    <catValu>2341</catValu>
    <labl>Baptist</labl>
  </catgry>
  <catgry>
    <catValu>2342</catValu>
    <labl>Seventh-day Adventist</labl>
  </catgry>
  <catgry>
    <catValu>2350</catValu>
    <labl>Apostolic</labl>
  </catgry>
  <catgry>
    <catValu>2360</catValu>
    <labl>Salvation Army</labl>
  </catgry>
  <catgry>
    <catValu>2370</catValu>
    <labl>Methodist</labl>
  </catgry>
  <catgry>
    <catValu>2380</catValu>
    <labl>Pentacostal-based</labl>
  </catgry>
  <catgry>
    <catValu>2381</catValu>
    <labl>Pentacostal</labl>
  </catgry>
  <catgry>
    <catValu>2382</catValu>
    <labl>Celestial Church of Christ</labl>
  </catgry>
  <catgry>
    <catValu>2383</catValu>
    <labl>Universal</labl>
  </catgry>
  <catgry>
    <catValu>2384</catValu>
    <labl>Assemblies of God</labl>
  </catgry>
  <catgry>
    <catValu>2390</catValu>
    <labl>Other Protestant</labl>
  </catgry>
  <catgry>
    <catValu>2391</catValu>
    <labl>Evangelical</labl>
  </catgry>
  <catgry>
    <catValu>2392</catValu>
    <labl>Lesotho Evangelical Church</labl>
  </catgry>
  <catgry>
    <catValu>2393</catValu>
    <labl>Kimbanguist (Congo, Democratic Republic)</labl>
  </catgry>
  <catgry>
    <catValu>2400</catValu>
    <labl>Nontrinitarian</labl>
  </catgry>
  <catgry>
    <catValu>2410</catValu>
    <labl>Jehovah's Witness</labl>
  </catgry>
  <catgry>
    <catValu>2900</catValu>
    <labl>Other Christian, country-specific</labl>
  </catgry>
  <catgry>
    <catValu>2901</catValu>
    <labl>African Zionist (Mozambique)</labl>
  </catgry>
  <catgry>
    <catValu>2902</catValu>
    <labl>Mammon (Uganda)</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>BUDDHIST/NEO-BUDDHIST</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Buddhist</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>HINDU</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>JEWISH</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>TRADITIONAL/SPIRITUAL/ANIMIST</labl>
  </catgry>
  <catgry>
    <catValu>6100</catValu>
    <labl>Traditional</labl>
  </catgry>
  <catgry>
    <catValu>6200</catValu>
    <labl>Spiritual</labl>
  </catgry>
  <catgry>
    <catValu>6300</catValu>
    <labl>Animist</labl>
  </catgry>
  <catgry>
    <catValu>6400</catValu>
    <labl>Specified Traditional</labl>
  </catgry>
  <catgry>
    <catValu>6401</catValu>
    <labl>Donyi-Polo</labl>
  </catgry>
  <catgry>
    <catValu>6402</catValu>
    <labl>Sanamahi</labl>
  </catgry>
  <catgry>
    <catValu>6403</catValu>
    <labl>Vodun</labl>
  </catgry>
  <catgry>
    <catValu>7000</catValu>
    <labl>OTHER (SPECIFIED)</labl>
  </catgry>
  <catgry>
    <catValu>7100</catValu>
    <labl>Baha'i</labl>
  </catgry>
  <catgry>
    <catValu>7200</catValu>
    <labl>Sikh</labl>
  </catgry>
  <catgry>
    <catValu>7300</catValu>
    <labl>Zoroastrian</labl>
  </catgry>
  <catgry>
    <catValu>7400</catValu>
    <labl>Jain</labl>
  </catgry>
  <catgry>
    <catValu>7900</catValu>
    <labl>Country-specific other</labl>
  </catgry>
  <catgry>
    <catValu>7901</catValu>
    <labl>Sect (Burundi)</labl>
  </catgry>
  <catgry>
    <catValu>7902</catValu>
    <labl>Bundu dia Kongo (Congo, Democratic Republic)</labl>
  </catgry>
  <catgry>
    <catValu>7903</catValu>
    <labl>Vuvamu (Congo, Democratic Republic)</labl>
  </catgry>
  <catgry>
    <catValu>7904</catValu>
    <labl>Kirat Mundhum (Nepal)</labl>
  </catgry>
  <catgry>
    <catValu>9000</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>9001</catValu>
    <labl>Religion 1</labl>
  </catgry>
  <catgry>
    <catValu>9002</catValu>
    <labl>Religion 2</labl>
  </catgry>
  <catgry>
    <catValu>9003</catValu>
    <labl>Religion 3</labl>
  </catgry>
  <catgry>
    <catValu>9004</catValu>
    <labl>Religion 4</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>RELIGION (V130) reports the respondent's religion. While the categories and codes for the religion variable in the original DHS files are country-specific, IPUMS-DHS uses a 4-digit composite coding system to fit these diverse categories into a single variable without losing information. Â See Comparability.</txt>
  <concept>
    <title>Ethnicity and religion Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ETHNICITYNE" name="C_ETHNICITYNE" files="C" intrvl="discrete">
  <labl>Ethnicity, Niger</labl>
  <imputation>Ethnicity, Niger</imputation>
  <security>Ethnicity, Niger</security>
  <embargo>Ethnicity, Niger</embargo>
  <respUnit>Ethnicity, Niger</respUnit>
  <qstn>
    <qstnLit>117) What is your ethnicity?

ARABE 01
DJERMA 02
GOURMANTH 03
HAUSSA 04
KAMOURI 05
MOSSI 06
PEULH 07
TOUAREG BELLA 08
TOUBOU 09
OTHER (SPECIFY): ___ 10</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Arab</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Djerma</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Gourmanthe</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Haoussa</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Kanouri</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Peulh</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Toureg</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Toubou</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Mossi</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Other non-Niger</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>ETHNICITYNE (V131NE) is a variable specific to Niger that reports responses to a question about the woman's ethnicity.  The groups identified vary across samples.  See Comparability.</txt>
  <concept>
    <title>Ethnicity and religion Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_MARSTAT" name="C_MARSTAT" files="C" intrvl="discrete">
  <labl>Woman's current marital or union status</labl>
  <imputation>Woman's current marital or union status</imputation>
  <security>Woman's current marital or union status</security>
  <embargo>Woman's current marital or union status</embargo>
  <respUnit>Woman's current marital or union status</respUnit>
  <qstn>
    <qstnLit>501) Are you now married or in a union with a man?

YES 1(GO TO 504)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Never married</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Married or living together</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Married</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Living together</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Formerly in union</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Widowed</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Divorced</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Separated/not living together</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Unconsummated marriage</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Deserted</labl>
  </catgry>
  <txt>MARSTAT (V501) reports the woman's current marital status. Response categories and question wording vary across surveys.  See Comparability.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_CURRMARR" name="C_CURRMARR" files="C" intrvl="discrete">
  <labl>Woman never, currently, or formerly married</labl>
  <imputation>Woman never, currently, or formerly married</imputation>
  <security>Woman never, currently, or formerly married</security>
  <embargo>Woman never, currently, or formerly married</embargo>
  <respUnit>Woman never, currently, or formerly married</respUnit>
  <qstn>
    <qstnLit>501) Are you now married or in a union with a man?

YES 1(GO TO 504)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>Never married</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Currently married</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Formerly married</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>CURRMARR (V502) reports the woman's marital/union status as "Never married," "Currently married," or "Formerly married."

"Never married" includes women who have never lived with a partner. "Currently married" includes women who are married and those who are not formally married but are living with a partner. "Formerly married" includes women who are widowed, divorced, or separated, or who have formerly lived with a partner. For samples restricted to ever-married women, only women who are formally married (not cohabiting) are included as "married."</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_UNION1MORE" name="C_UNION1MORE" files="C" intrvl="discrete">
  <labl>Woman had one or more than one union</labl>
  <imputation>Woman had one or more than one union</imputation>
  <security>Woman had one or more than one union</security>
  <embargo>Woman had one or more than one union</embargo>
  <respUnit>Woman had one or more than one union</respUnit>
  <qstn>
    <qstnLit>508) Have you been married or lived with a man only once, or more than one?

ONCE 1
MORE THAN ONCE 2</qstnLit>
  </qstn>
  <catgry>
    <labl>One</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>More than one</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who had ever been married or lived with a man, UNION1MORE (V503) indicates whether the respondent had been in one or more than one marriage/union.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_AGEFRSTMAR" name="C_AGEFRSTMAR" files="C" intrvl="discrete">
  <labl>Age at first marriage or cohabitation</labl>
  <imputation>Age at first marriage or cohabitation</imputation>
  <security>Age at first marriage or cohabitation</security>
  <embargo>Age at first marriage or cohabitation</embargo>
  <respUnit>Age at first marriage or cohabitation</respUnit>
  <qstn>
    <qstnLit>510) How old were you when you started living with him?

AGE: ___
DON'T KNOW AGE 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Marriage not consummated</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>AGEFRSTMAR (V511) reports the woman's age at the start of her first marriage or union. This usually refers to when the woman first started to live with her first husband or partner. According to the DHS Recode Manuals, "Age at start of first marriage or union is calculated from the century month code of the date of start of first marriage or union and the century month code of the date of birth of the respondent."</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DURMARGRP" name="C_DURMARGRP" files="C" intrvl="discrete">
  <labl>Marital or cohabitation duration (grouped)</labl>
  <imputation>Marital or cohabitation duration (grouped)</imputation>
  <security>Marital or cohabitation duration (grouped)</security>
  <embargo>Marital or cohabitation duration (grouped)</embargo>
  <respUnit>Marital or cohabitation duration (grouped)</respUnit>
  <qstn>
    <qstnLit>509) In what month and year did you start living with him?

MONTH: ___
DON'T KNOW MONTHS 98

YEAR: ___
DON'T KNOW YEARS 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Never married</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>0 to 4</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>5 to 9</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>10 to 14</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>15 to 19</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>20 to 24</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>25 to 29</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>30+</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Marriage not consummated</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>DURMARGRP (V513) reports the number of years elapsed since the woman's first marriage or cohabiting union until the date of the survey interview, in five-year groups. The duration is reported irrespective of whether the respondent is still married or in a union with her first partner.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_MAR1STMO" name="C_MAR1STMO" files="C" intrvl="discrete">
  <labl>Month of first marriage or cohabitation</labl>
  <imputation>Month of first marriage or cohabitation</imputation>
  <security>Month of first marriage or cohabitation</security>
  <embargo>Month of first marriage or cohabitation</embargo>
  <respUnit>Month of first marriage or cohabitation</respUnit>
  <qstn>
    <qstnLit>509) In what month and year did you start living with him?

MONTH: ___
DON'T KNOW MONTHS 98

YEAR: ___
DON'T KNOW YEARS 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Marriage not consummated</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who had ever been married or lived with a man, MAR1STMO (V507) reports the month of their first marriage or (for most samples) unmarried cohabitation. The year of the woman's first marriage/union is reported in MAR1STYR (V508).</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_MAR1STYR" name="C_MAR1STYR" files="C" intrvl="discrete">
  <labl>Year of first marriage or cohabitation</labl>
  <imputation>Year of first marriage or cohabitation</imputation>
  <security>Year of first marriage or cohabitation</security>
  <embargo>Year of first marriage or cohabitation</embargo>
  <respUnit>Year of first marriage or cohabitation</respUnit>
  <qstn>
    <qstnLit>509) In what month and year did you start living with him?

MONTH: ___
DON'T KNOW MONTHS 98

YEAR: ___
DON'T KNOW YEARS 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>1943</catValu>
    <labl>1943</labl>
  </catgry>
  <catgry>
    <catValu>1944</catValu>
    <labl>1944</labl>
  </catgry>
  <catgry>
    <catValu>1945</catValu>
    <labl>1945</labl>
  </catgry>
  <catgry>
    <catValu>1946</catValu>
    <labl>1946</labl>
  </catgry>
  <catgry>
    <catValu>1947</catValu>
    <labl>1947</labl>
  </catgry>
  <catgry>
    <catValu>1948</catValu>
    <labl>1948</labl>
  </catgry>
  <catgry>
    <catValu>1949</catValu>
    <labl>1949</labl>
  </catgry>
  <catgry>
    <catValu>1950</catValu>
    <labl>1950</labl>
  </catgry>
  <catgry>
    <catValu>1951</catValu>
    <labl>1951</labl>
  </catgry>
  <catgry>
    <catValu>1952</catValu>
    <labl>1952</labl>
  </catgry>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>2017</labl>
  </catgry>
  <catgry>
    <catValu>2018</catValu>
    <labl>2018</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Marriage not consummated</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who had ever been married or lived with a man, MAR1STYR (V508) reports the year of their first marriage or (for most samples) unmarried cohabitation. The month of the woman's first marriage/union is reported in MAR1STMO (V507).</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_YRSTO1STMAR" name="C_YRSTO1STMAR" files="C" intrvl="discrete">
  <labl>Years since starting date of 1st marriage or union</labl>
  <imputation>Years since starting date of 1st marriage or union</imputation>
  <security>Years since starting date of 1st marriage or union</security>
  <embargo>Years since starting date of 1st marriage or union</embargo>
  <respUnit>Years since starting date of 1st marriage or union</respUnit>
  <qstn>
    <qstnLit>509) In what month and year did you start living with him?

MONTH: ___
DON'T KNOW MONTHS 98

YEAR: ___
DON'T KNOW YEARS 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Marriage not consummated</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who had ever been married or lived with a man, YRSTO1STMAR (V512) reports the number of years from the start of the woman's first marriage/union to the date of the survey interview. The calculation is made using century month codes for both dates.

For the month and year of first marriage/union, see MAR1STMO (V507) and MAR1STYR (V508) respectively.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_MAR1STCMC" name="C_MAR1STCMC" files="C" intrvl="discrete">
  <labl>Date of first marriage or cohabitation (CMC)</labl>
  <imputation>Date of first marriage or cohabitation (CMC)</imputation>
  <security>Date of first marriage or cohabitation (CMC)</security>
  <embargo>Date of first marriage or cohabitation (CMC)</embargo>
  <respUnit>Date of first marriage or cohabitation (CMC)</respUnit>
  <qstn>
    <qstnLit>509) In what month and year did you start living with him?

MONTH: ___
DON'T KNOW MONTHS 98

YEAR: ___
DON'T KNOW YEARS 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>9996</catValu>
    <labl>Not consummated</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>MAR1STCMC (V509) reports the century month code (CMC) for the date of the woman's first marriage or cohabitation. 

Century month codes (CMC) are particularly useful checking the consistency of dates, calculating intervals between events, and imputing dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC  -  1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC  -  ( ( Year  -  1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006) [URL omitted from DDI.].</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_MAR1STDATINFO" name="C_MAR1STDATINFO" files="C" intrvl="discrete">
  <labl>Completeness of information, date of first marriage/union</labl>
  <imputation>Completeness of information, date of first marriage/union</imputation>
  <security>Completeness of information, date of first marriage/union</security>
  <embargo>Completeness of information, date of first marriage/union</embargo>
  <respUnit>Completeness of information, date of first marriage/union</respUnit>
  <qstn>
    <qstnLit>509) In what month and year did you start living with him?

MONTH: ___
DON'T KNOW MONTHS 98

YEAR: ___
DON'T KNOW YEARS 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Month and year reported</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Month and age reported, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Year and age reported, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Year reported, age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Age reported, year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Month reported, age and year imputed</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Year and age reported, year ignored</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Season and year reported</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>All values imputed</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>All reported, inconsistent</labl>
  </catgry>
  <txt>MAR1STDATINFO (V510) reports the completeness of information for the date of the woman's first marriage or cohabitation. See Comparability.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_MARTO1STBORNMO" name="C_MARTO1STBORNMO" files="C" intrvl="discrete">
  <labl>Months between respondent's 1st marriage and 1st birth</labl>
  <imputation>Months between respondent's 1st marriage and 1st birth</imputation>
  <security>Months between respondent's 1st marriage and 1st birth</security>
  <embargo>Months between respondent's 1st marriage and 1st birth</embargo>
  <respUnit>Months between respondent's 1st marriage and 1st birth</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>998</catValu>
    <labl>First birth prior to first marriage</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>MARTO1STBORNMO (V221) reports the number of months between the woman's first marriage (i.e., formal marriage or first episode of living with a man) and her first birth. For women whose first birth occurred before their first marriage, this variable is coded as '998.'</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_WIFENUM" name="C_WIFENUM" files="C" intrvl="discrete">
  <labl>Number of other wives</labl>
  <imputation>Number of other wives</imputation>
  <security>Number of other wives</security>
  <embargo>Number of other wives</embargo>
  <respUnit>Number of other wives</respUnit>
  <qstn>
    <qstnLit>506) How many other wives does he have?

NUMBER: ___
DON'T KNOW 98 (GO TO 508)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No other wives</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Has other wives, dk number</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who were currently married or living with a man, WIFENUM (V505) reports the number of other wives (or co-resident partners) their husband/partner had.  Question wording varied across samples. See Comparability.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_WIFERANK" name="C_WIFERANK" files="C" intrvl="discrete">
  <labl>Wife rank number</labl>
  <imputation>Wife rank number</imputation>
  <security>Wife rank number</security>
  <embargo>Wife rank number</embargo>
  <respUnit>Wife rank number</respUnit>
  <qstn>
    <qstnLit>507) Are you the first, second, third'?spouse?

RANK: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women married to or living with a man who had more than one wife/partner, WIFERANK (V506) reports the woman's rank among her husband's/partner's wives/partners.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HUSBINHOME" name="C_HUSBINHOME" files="C" intrvl="discrete">
  <labl>Husband/partner lives in woman's household</labl>
  <imputation>Husband/partner lives in woman's household</imputation>
  <security>Husband/partner lives in woman's household</security>
  <embargo>Husband/partner lives in woman's household</embargo>
  <respUnit>Husband/partner lives in woman's household</respUnit>
  <qstn>
    <qstnLit>504) Does your husband/partner live with you, or is he staying elsewhere?

LIVING WITH HER 1
STAYING ELSEWHERE 2</qstnLit>
  </qstn>
  <catgry>
    <labl>Living with woman</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Staying elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who were currently married or living with a man, HUSBINHOME (V504) indicates whether the husband/partner lived with the woman or stayed elsewhere.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_CHEB" name="C_CHEB" files="C" intrvl="discrete">
  <labl>Total children ever born</labl>
  <imputation>Total children ever born</imputation>
  <security>Total children ever born</security>
  <embargo>Total children ever born</embargo>
  <respUnit>Total children ever born</respUnit>
  <qstn>
    <qstnLit>209) CHECK 208:

I want to make sure I understand: You have had (TOTAL) ___ births in your life. Is that correct?

YES: ___ (GO TO 210)
NO: ___ (PROBE AND CORRECT 201-208 AS NECESSARY)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (Not in universe)</labl>
  </catgry>
  <txt>CHEB (V201) reports the total number of children ever born to the respondent.  The number reported in CHEB is the sum of a series of variables covering the total number of sons and daughters who are living at home, living away from home, or who have died (V202 to V207).   

The number of births reported in CHEB will match the number of entries in the birth history (V224) for up to 20 births.  If the woman reported more than 20 births, then the number for CHEB will exceed the number of births in the birth history, but such cases are rare.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TOTBIRTHIST" name="C_TOTBIRTHIST" files="C" intrvl="discrete">
  <labl>Number of entries in the birth history</labl>
  <imputation>Number of entries in the birth history</imputation>
  <security>Number of entries in the birth history</security>
  <embargo>Number of entries in the birth history</embargo>
  <respUnit>Number of entries in the birth history</respUnit>
  <qstn>
    <qstnLit>211) Now I would like to talk to you about your children, whether they are still alive or not, beginning with the first birth that you had.

(IN 212 WRITE THE NAME OF EACH CHILD, WRITING THE NAMES OF TWINS OR TRIPLETS ON SEPARATE LINES)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TOTBIRTHIST (V224) reports the number of entries in the woman respondent's birth history. 

For up to 20 births, the birth history contains information for each of the respondent's births. In those rare cases when the respondent had more than 20 births, the birth history lists the last 19 births and the first birth.  

In cases where the women had fewer than 20 births, the number reported in TOTBIRTHIST will match the number reported in CHEB (V201), the total number of children ever born to the respondent.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_SONSATHOME" name="C_SONSATHOME" files="C" intrvl="discrete">
  <labl>Number of own sons living at home</labl>
  <imputation>Number of own sons living at home</imputation>
  <security>Number of own sons living at home</security>
  <embargo>Number of own sons living at home</embargo>
  <respUnit>Number of own sons living at home</respUnit>
  <qstn>
    <qstnLit>203) How many sons live with you?
And how many daughters?

IF NONE, ENTER '00'.

SONS AT HOME: ___

DAUGHTERS AT HOME: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>SONSATHOME (V202) reports the number of sons to whom the woman has given birth who are currently living with her. 

The related variable SONSAWAYHOME (V204) reports the number of sons to whom the woman has given birth and are still alive, but who are not currently living with her.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DAUSATHOME" name="C_DAUSATHOME" files="C" intrvl="discrete">
  <labl>Number of own daughters living at home</labl>
  <imputation>Number of own daughters living at home</imputation>
  <security>Number of own daughters living at home</security>
  <embargo>Number of own daughters living at home</embargo>
  <respUnit>Number of own daughters living at home</respUnit>
  <qstn>
    <qstnLit>204) Have you given birth to sons or daughters who are still living but do not currently live with you?

YES 1
NO 2 (GO TO 206)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>DAUSATHOME (V203) reports the number of daughters to whom the woman has given birth who are currently living with her. 

The related variable DAUSAWAYHOME (V205) reports the number of daughters to whom the woman has given birth and are still alive, but who are not currently living with her.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_SONSAWAYHOME" name="C_SONSAWAYHOME" files="C" intrvl="discrete">
  <labl>Number of own sons living away from home</labl>
  <imputation>Number of own sons living away from home</imputation>
  <security>Number of own sons living away from home</security>
  <embargo>Number of own sons living away from home</embargo>
  <respUnit>Number of own sons living away from home</respUnit>
  <qstn>
    <qstnLit>205) How many sons are alive but not living with you?
And how many daughters?

IF NONE, ENTER '00'.

SONS ELSEWHERE: ___
DAUGHTERS ELSEWHERE: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>SONSAWAYHOME (V204) reports the number of sons to whom the woman has given birth who are still alive, but who are not currently living with her. 

The related variable SONSATHOME (V202) reports the number of sons to whom the woman has given birth who are still alive, and who are currently living with her.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DAUSAWAYHOME" name="C_DAUSAWAYHOME" files="C" intrvl="discrete">
  <labl>Number of own daughters living away from home</labl>
  <imputation>Number of own daughters living away from home</imputation>
  <security>Number of own daughters living away from home</security>
  <embargo>Number of own daughters living away from home</embargo>
  <respUnit>Number of own daughters living away from home</respUnit>
  <qstn>
    <qstnLit>205) How many sons are alive but not living with you?
And how many daughters?

IF NONE, ENTER '00'.

SONS ELSEWHERE: ___
DAUGHTERS ELSEWHERE: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>DAUSAWAYHOME (V205) reports the number of daughters to whom the woman has given birth who are still alive, but who are not currently living with her. 

The related variable DAUSATHOME (V203) reports the number of daughters to whom the woman has given birth who are still alive, and who are currently living with her.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_SONSDIED" name="C_SONSDIED" files="C" intrvl="discrete">
  <labl>Number of own sons who have died</labl>
  <imputation>Number of own sons who have died</imputation>
  <security>Number of own sons who have died</security>
  <embargo>Number of own sons who have died</embargo>
  <respUnit>Number of own sons who have died</respUnit>
  <qstn>
    <qstnLit>207) In all, how many of your sons have died?
And how many of your daughters?

IF NONE, ENTER '00'.

SONS DECEASED: ___

DAUGHTERS DECEASED: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>SONSDIED (V206) reports the number of sons to whom the woman has given birth who have died.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DAUSDIED" name="C_DAUSDIED" files="C" intrvl="discrete">
  <labl>Number of own daughters who have died</labl>
  <imputation>Number of own daughters who have died</imputation>
  <security>Number of own daughters who have died</security>
  <embargo>Number of own daughters who have died</embargo>
  <respUnit>Number of own daughters who have died</respUnit>
  <qstn>
    <qstnLit>207) In all, how many of your sons have died?
And how many of your daughters?

IF NONE, ENTER '00'.

SONS DECEASED: ___

DAUGHTERS DECEASED: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>DAUSDIED (V207) reports the number of daughters to whom the woman has given birth who have died.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BIRTHSIN5YRS" name="C_BIRTHSIN5YRS" files="C" intrvl="discrete">
  <labl>Number of births in last 5 years</labl>
  <imputation>Number of births in last 5 years</imputation>
  <security>Number of births in last 5 years</security>
  <embargo>Number of births in last 5 years</embargo>
  <respUnit>Number of births in last 5 years</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6</labl>
  </catgry>
  <txt>BIRTHSIN5YRS (V208) reports the number of births the woman had in the five years prior to the survey. This statistic is calculated based on the total number of births in the 0 to 59 months prior to the month of the interview.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BIRTHSIN1YR" name="C_BIRTHSIN1YR" files="C" intrvl="discrete">
  <labl>Number of births in the past year</labl>
  <imputation>Number of births in the past year</imputation>
  <security>Number of births in the past year</security>
  <embargo>Number of births in the past year</embargo>
  <respUnit>Number of births in the past year</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <txt>BIRTHSIN1YR (V209) reports the number of births the woman had in the year prior to the survey. This statistic is calculated based on the total number of births in the months 0 to 12 (not 0 to 11) prior to the month of the interview. For example, if the survey were given in January, BIRTHSIN1YR would report the number of births the woman had between the time of the survey and the previous January.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BIRTHSIN1MO" name="C_BIRTHSIN1MO" files="C" intrvl="discrete">
  <labl>Total number of births in month of interview</labl>
  <imputation>Total number of births in month of interview</imputation>
  <security>Total number of births in month of interview</security>
  <embargo>Total number of births in month of interview</embargo>
  <respUnit>Total number of births in month of interview</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIRTHSIN1MO (V210) reports the total number of births the woman had in the month of interview.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DOB1STKIDCMC" name="C_DOB1STKIDCMC" files="C" intrvl="discrete">
  <labl>Date of respondent's first birth, in century months</labl>
  <imputation>Date of respondent's first birth, in century months</imputation>
  <security>Date of respondent's first birth, in century months</security>
  <embargo>Date of respondent's first birth, in century months</embargo>
  <respUnit>Date of respondent's first birth, in century months</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>DOB1STKIDCMC (V211) reports the century month code (CMC) for the date of the woman's first birth.

The Guide to DHS Statistics (2003) explains the use and calculation of CMC values as follows:

Century month codes (CMC) are particularly important to check consistency of dates, to calculate intervals between events, and to impute dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. That year was chosen as the reference period because all of the DHS relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 will be:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed since January 1900 to June 2002. Based on CMC it is possible to calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year - 1900 ) * 12 )</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TIMEMENSTRUATE" name="C_TIMEMENSTRUATE" files="C" intrvl="discrete">
  <labl>Time since woman's last menstrual period</labl>
  <imputation>Time since woman's last menstrual period</imputation>
  <security>Time since woman's last menstrual period</security>
  <embargo>Time since woman's last menstrual period</embargo>
  <respUnit>Time since woman's last menstrual period</respUnit>
  <qstn>
    <qstnLit>226) When did your last period start?

DAYS: ___ 1
WEEKS: ___ 2
MONTHS: ___ 3
YEARS: ___ 4
IN MENOPAUSE 994
BEFORE LAST BIRTH 995
NEVER MENSTRUATED 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Day of Interview</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>Days: 1</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 days</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 days</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 days</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 days</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 days</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46 days</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47 days</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48 days</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49 days</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50 days</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51 days</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52 days</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53 days</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54 days</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55 days</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56 days</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57 days</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58 days</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59 days</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60 days</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61 days</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62 days</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63 days</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64 days</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65 days</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66 days</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67 days</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68 days</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69 days</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70 days</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71 days</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72 days</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73 days</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74 days</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75 days</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76 days</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77 days</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78 days</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79 days</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80 days</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81 days</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82 days</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83 days</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84 days</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85 days</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86 days</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87 days</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88 days</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89 days</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90 days</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>91 days</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>92 days</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>93 days</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>94 days</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>95 days</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>96 days</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>97 days</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>98 days</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Weeks</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>201 Weeks: 1</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 weeks</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 weeks</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 weeks</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 weeks</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 weeks</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 weeks</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 weeks</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 weeks</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 weeks</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 weeks</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 weeks</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 weeks</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 weeks</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 weeks</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 weeks</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 weeks</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 weeks</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 weeks</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 weeks</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 weeks</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 weeks</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 weeks</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 weeks</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 weeks</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 weeks</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 weeks</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 weeks</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 weeks</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 weeks</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 weeks</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 weeks</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 weeks</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 weeks</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35 weeks</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36 weeks</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37 weeks</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38 weeks</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39 weeks</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40 weeks</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41 weeks</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42 weeks</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43 weeks</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44 weeks</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45 weeks</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46 weeks</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47 weeks</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48 weeks</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49 weeks</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50 weeks</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51 weeks</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52 weeks</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>53 weeks</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>54 weeks</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>55 weeks</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>56 weeks</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>57 weeks</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>58 weeks</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>59 weeks</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>60 weeks</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>61 weeks</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>62 weeks</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>63 weeks</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>64 weeks</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>65 weeks</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>66 weeks</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>67 weeks</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>68 weeks</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>69 weeks</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>70 weeks</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>71 weeks</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>72 weeks</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>73 weeks</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>74 weeks</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>75 weeks</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>76 weeks</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>77 weeks</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>78 weeks</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>79 weeks</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>80 weeks</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>81 weeks</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>82 weeks</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>83 weeks</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>84 weeks</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>85 weeks</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>86 weeks</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>87 weeks</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>88 weeks</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>89 weeks</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>90 weeks</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>91 weeks</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>92 weeks</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>93 weeks</labl>
  </catgry>
  <catgry>
    <catValu>294</catValu>
    <labl>94 weeks</labl>
  </catgry>
  <catgry>
    <catValu>295</catValu>
    <labl>95 weeks</labl>
  </catgry>
  <catgry>
    <catValu>296</catValu>
    <labl>96 weeks</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>97 weeks</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>98 weeks</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Weeks: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Months</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>301 Months: 1</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>337</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>338</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>339</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>341</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>342</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>343</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>344</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>345</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>346</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>347</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>348</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>349</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>352</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>353</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>354</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>355</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>356</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>357</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>358</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>359</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>361</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>362</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>363</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>364</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>365</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>366</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>367</catValu>
    <labl>67 months</labl>
  </catgry>
  <catgry>
    <catValu>368</catValu>
    <labl>68 months</labl>
  </catgry>
  <catgry>
    <catValu>369</catValu>
    <labl>69 months</labl>
  </catgry>
  <catgry>
    <catValu>370</catValu>
    <labl>70 months</labl>
  </catgry>
  <catgry>
    <catValu>371</catValu>
    <labl>71 months</labl>
  </catgry>
  <catgry>
    <catValu>372</catValu>
    <labl>72 months</labl>
  </catgry>
  <catgry>
    <catValu>373</catValu>
    <labl>73 months</labl>
  </catgry>
  <catgry>
    <catValu>374</catValu>
    <labl>74 months</labl>
  </catgry>
  <catgry>
    <catValu>375</catValu>
    <labl>75 months</labl>
  </catgry>
  <catgry>
    <catValu>376</catValu>
    <labl>76 months</labl>
  </catgry>
  <catgry>
    <catValu>377</catValu>
    <labl>77 months</labl>
  </catgry>
  <catgry>
    <catValu>378</catValu>
    <labl>78 months</labl>
  </catgry>
  <catgry>
    <catValu>379</catValu>
    <labl>79 months</labl>
  </catgry>
  <catgry>
    <catValu>380</catValu>
    <labl>80 months</labl>
  </catgry>
  <catgry>
    <catValu>381</catValu>
    <labl>81 months</labl>
  </catgry>
  <catgry>
    <catValu>382</catValu>
    <labl>82 months</labl>
  </catgry>
  <catgry>
    <catValu>383</catValu>
    <labl>83 months</labl>
  </catgry>
  <catgry>
    <catValu>384</catValu>
    <labl>84 months</labl>
  </catgry>
  <catgry>
    <catValu>385</catValu>
    <labl>85 months</labl>
  </catgry>
  <catgry>
    <catValu>386</catValu>
    <labl>86 months</labl>
  </catgry>
  <catgry>
    <catValu>387</catValu>
    <labl>87 months</labl>
  </catgry>
  <catgry>
    <catValu>388</catValu>
    <labl>88 months</labl>
  </catgry>
  <catgry>
    <catValu>389</catValu>
    <labl>89 months</labl>
  </catgry>
  <catgry>
    <catValu>390</catValu>
    <labl>90 months</labl>
  </catgry>
  <catgry>
    <catValu>391</catValu>
    <labl>91 months</labl>
  </catgry>
  <catgry>
    <catValu>392</catValu>
    <labl>92 months</labl>
  </catgry>
  <catgry>
    <catValu>393</catValu>
    <labl>93 months</labl>
  </catgry>
  <catgry>
    <catValu>394</catValu>
    <labl>94 months</labl>
  </catgry>
  <catgry>
    <catValu>395</catValu>
    <labl>95 months</labl>
  </catgry>
  <catgry>
    <catValu>396</catValu>
    <labl>96 months</labl>
  </catgry>
  <catgry>
    <catValu>397</catValu>
    <labl>97 months</labl>
  </catgry>
  <catgry>
    <catValu>398</catValu>
    <labl>98 months</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Months: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>400</catValu>
    <labl>Years</labl>
  </catgry>
  <catgry>
    <catValu>401</catValu>
    <labl>Years: 1</labl>
  </catgry>
  <catgry>
    <catValu>402</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>403</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>404</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>405</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>406</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>407</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>408</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>409</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>410</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>411</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>412</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>413</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>414</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>415</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>416</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>417</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>418</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>419</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>420</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>421</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>422</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>423</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>424</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>425</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>426</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>427</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>428</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>429</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>430</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>431</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>432</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>433</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>434</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>435</catValu>
    <labl>35 years</labl>
  </catgry>
  <catgry>
    <catValu>436</catValu>
    <labl>36 years</labl>
  </catgry>
  <catgry>
    <catValu>437</catValu>
    <labl>37 years</labl>
  </catgry>
  <catgry>
    <catValu>438</catValu>
    <labl>38 years</labl>
  </catgry>
  <catgry>
    <catValu>439</catValu>
    <labl>39 years</labl>
  </catgry>
  <catgry>
    <catValu>440</catValu>
    <labl>40 years</labl>
  </catgry>
  <catgry>
    <catValu>441</catValu>
    <labl>41 years</labl>
  </catgry>
  <catgry>
    <catValu>442</catValu>
    <labl>42 years</labl>
  </catgry>
  <catgry>
    <catValu>443</catValu>
    <labl>43 years</labl>
  </catgry>
  <catgry>
    <catValu>444</catValu>
    <labl>44 years</labl>
  </catgry>
  <catgry>
    <catValu>445</catValu>
    <labl>45 years</labl>
  </catgry>
  <catgry>
    <catValu>446</catValu>
    <labl>46 years</labl>
  </catgry>
  <catgry>
    <catValu>447</catValu>
    <labl>47 years</labl>
  </catgry>
  <catgry>
    <catValu>448</catValu>
    <labl>48 years</labl>
  </catgry>
  <catgry>
    <catValu>449</catValu>
    <labl>49+ years</labl>
  </catgry>
  <catgry>
    <catValu>499</catValu>
    <labl>Years: number missing</labl>
  </catgry>
  <catgry>
    <catValu>992</catValu>
    <labl>Currently pregnant</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>In menopause/had hysterectomy</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>Before last birth</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Never menstruated</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TIMEMENSTRUATE (V215) reports the time passed since the woman's last menstrual period, in days, weeks, months, or years.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_MENSTRUATE6WK" name="C_MENSTRUATE6WK" files="C" intrvl="discrete">
  <labl>Woman menstruated last 6 weeks</labl>
  <imputation>Woman menstruated last 6 weeks</imputation>
  <security>Woman menstruated last 6 weeks</security>
  <embargo>Woman menstruated last 6 weeks</embargo>
  <respUnit>Woman menstruated last 6 weeks</respUnit>
  <qstn>
    <qstnLit>226) When did your last period start?

DAYS: ___ 1
WEEKS: ___ 2
MONTHS: ___ 3
YEARS: ___ 4
IN MENOPAUSE 994
BEFORE LAST BIRTH 995
NEVER MENSTRUATED 996</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>MENSTRUATE6WK (V216) indicates whether the woman menstruated in the 6 weeks prior to the interview, as calculated from TIMEMENSTRUATE (V215).</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_OVCYCLE" name="C_OVCYCLE" files="C" intrvl="discrete">
  <labl>When in cycle thinks pregnancy is most likely</labl>
  <imputation>When in cycle thinks pregnancy is most likely</imputation>
  <security>When in cycle thinks pregnancy is most likely</security>
  <embargo>When in cycle thinks pregnancy is most likely</embargo>
  <respUnit>When in cycle thinks pregnancy is most likely</respUnit>
  <qstn>
    <qstnLit>228) During which times of the month does a woman have the greatest chance of becoming pregnant?

DURING HER PERIOD 1
RIGHT AFTER HER PERIOD HAS ENDED 2
IN THE MIDDLE OF THE CYCLE 3
JUST BEFORE HER PERIOD BEGINS 4
OTHER (SPECIFY): ___ 5
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>During her period</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>After period ended</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Middle of the cycle</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Before period begins</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>At any time</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Other/It depends</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>OVCYCLE (V217) suggests the woman's knowledge of the ovulatory cycle by reporting when she believes a woman has the greatest chance of becoming pregnant.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_CHEBALIVE" name="C_CHEBALIVE" files="C" intrvl="discrete">
  <labl>Total number of living children born to respondent</labl>
  <imputation>Total number of living children born to respondent</imputation>
  <security>Total number of living children born to respondent</security>
  <embargo>Total number of living children born to respondent</embargo>
  <respUnit>Total number of living children born to respondent</respUnit>
  <qstn>
    <qstnLit>203) How many sons live with you?
And how many daughters?

IF NONE, ENTER '00'.

SONS AT HOME: ___

DAUGHTERS AT HOME: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>CHEBALIVE (V218) reports the total number of children ever born to the respondent who are currently living. The number reported in CHEBALIVE (V218) is the sum of a series of variables reporting the total number of sons and daughters who are living at home and who are living away from home (V202 to V205 - SONSATHOME, DAUSATHOME, SONSAWAYHOME, and DAUSAWAYHOME). 

The related variable CHEB (V201) reports the total number of children ever born to the respondent, regardless of survival status.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_CHSURVPLUSPG" name="C_CHSURVPLUSPG" files="C" intrvl="discrete">
  <labl>Total number of living children including current pregnancy</labl>
  <imputation>Total number of living children including current pregnancy</imputation>
  <security>Total number of living children including current pregnancy</security>
  <embargo>Total number of living children including current pregnancy</embargo>
  <respUnit>Total number of living children including current pregnancy</respUnit>
  <qstn>
    <qstnLit>203) How many sons live with you?
And how many daughters?

IF NONE, ENTER '00'.

SONS AT HOME: ___

DAUGHTERS AT HOME: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <txt>CHSURVPLUSPG (V219) reports the woman's total number of living children, including her current pregnancy. 

CHSURVPLUSPG takes the value of CHEBALIVE (V218) and adds 1 if the respondent is pregnant.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_CHEBALIVETRUNC" name="C_CHEBALIVETRUNC" files="C" intrvl="discrete">
  <labl>Total number of living children, truncated at 6+</labl>
  <imputation>Total number of living children, truncated at 6+</imputation>
  <security>Total number of living children, truncated at 6+</security>
  <embargo>Total number of living children, truncated at 6+</embargo>
  <respUnit>Total number of living children, truncated at 6+</respUnit>
  <qstn>
    <qstnLit>203) How many sons live with you?
And how many daughters?

IF NONE, ENTER '00'.

SONS AT HOME: ___

DAUGHTERS AT HOME: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6+</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>CHEBALIVETRUNC (V220) reports the woman's total number of living children (including current pregnancy), truncated at 6 or more children. This variable is a grouping of CHSURVPLUSPG (V219) truncated at 6+ children.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_LASTBIRTHTOINTMO" name="C_LASTBIRTHTOINTMO" files="C" intrvl="discrete">
  <labl>Interval between last birth and interview, in months</labl>
  <imputation>Interval between last birth and interview, in months</imputation>
  <security>Interval between last birth and interview, in months</security>
  <embargo>Interval between last birth and interview, in months</embargo>
  <respUnit>Interval between last birth and interview, in months</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have ever given birth, LASTBIRTHTOINTMO (V222) reports the number of months between their last birth and the date of interview.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_CONCEPTDATEFLAG" name="C_CONCEPTDATEFLAG" files="C" intrvl="discrete">
  <labl>Completeness of information on date of conception, current pregnancy</labl>
  <imputation>Completeness of information on date of conception, current pregnancy</imputation>
  <security>Completeness of information on date of conception, current pregnancy</security>
  <embargo>Completeness of information on date of conception, current pregnancy</embargo>
  <respUnit>Completeness of information on date of conception, current pregnancy</respUnit>
  <qstn>
    <qstnLit>224) How many months pregnant are you?

MONTHS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Month- exact date</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Date missing, imputed</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For pregnant women, CONCEPTDATEFLAG (V223) indicates the completeness of information relating to the date of conception of their current pregnancy.  According to the DHS Recode Manuals, "This variable indicates whether the date of conception was exactly specified by the duration of the current pregnancy or the duration was imputed from other information." 

The related variable DURCURPREG reports the duration of the current pregnancy.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_MENSTIMFLAG" name="C_MENSTIMFLAG" files="C" intrvl="discrete">
  <labl>Flag for reported time since last menstrual period</labl>
  <imputation>Flag for reported time since last menstrual period</imputation>
  <security>Flag for reported time since last menstrual period</security>
  <embargo>Flag for reported time since last menstrual period</embargo>
  <respUnit>Flag for reported time since last menstrual period</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Number GT interval since birth</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Number plus amenorrhea GT interval</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Number reported, but period not returned</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Reported before last birth, but no birth</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Reported before last birth, but period since</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Reported never menstruated, but period returned</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported time during pregnancy</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported never menstruated but had kids</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported period before last birth</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>MENSTIMFLAG (V227) is a flag variable that indicates the type of problem, if any, found in editing responses on the time since the respondent's last menstrual period. Cases without a problem are coded 0.

For time since last menstrual period, see TIMEMENSTRUATE (V215).</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TIMEMENSCALC" name="C_TIMEMENSCALC" files="C" intrvl="discrete">
  <labl>Computed time since last menstrual period</labl>
  <imputation>Computed time since last menstrual period</imputation>
  <security>Computed time since last menstrual period</security>
  <embargo>Computed time since last menstrual period</embargo>
  <respUnit>Computed time since last menstrual period</respUnit>
  <qstn>
    <qstnLit>226) When did your last period start?

DAYS: ___ 1
WEEKS: ___ 2
MONTHS: ___ 3
YEARS: ___ 4
IN MENOPAUSE 994
BEFORE LAST BIRTH 995
NEVER MENSTRUATED 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
    <labl>No time difference</labl>
  </catgry>
  <catgry>
    <catValu>991</catValu>
    <labl>In menopause/had hysterectomy</labl>
  </catgry>
  <catgry>
    <catValu>992</catValu>
    <labl>Pregnant, not asked</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>In menopause</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>Before last birth</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Never menstruated</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TIMEMENSCALC (V226) reports the computed time since the respondent's last menstrual period. 

According to the DHS Recode Manuals, this variable

is computed from the response for V215, with durations exceeding the interval since the last birth (V227 = 7,9) recoded to the response "Before last birth" (code 995) and inconsistent responses flagged on variable 227 (codes 1-6) recoded to 997.


Restated in terms of IPUMS-DHS variables and variable labels, TIMEMENSCALC is computed from the response for TIMEMENSTRUATE (Time since woman's last menstrual period).  Cases with durations exceeding the interval since the last birth, when MENSTIMFLAG (Flag for reported time since last menstrual period) has values for "Reported time during pregnancy" or "Reported period before last birth," are recoded as "Before last birth" in TIMEMENSCALC.  Cases with inconsistent or implausible responses according to MENSTIMFLAG (for example, the woman reportedly never menstruated but she has given birth) are recoded to "Inconsistent" for TIMEMENSCALC.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_AGEAT1STBIRTH" name="C_AGEAT1STBIRTH" files="C" intrvl="discrete">
  <labl>Age of respondent at time of first birth</labl>
  <imputation>Age of respondent at time of first birth</imputation>
  <security>Age of respondent at time of first birth</security>
  <embargo>Age of respondent at time of first birth</embargo>
  <respUnit>Age of respondent at time of first birth</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <txt>AGEAT1STBIRTH (V212) reports the age of the woman at the time of her first birth. This variable is calculated by using the century month code (CMC) of the date of the woman's first birth (DOB1STKIDCMC) and the CMC of the woman's date of birth (DOBCMC).</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HHMEMTOTAL" name="C_HHMEMTOTAL" files="C" intrvl="discrete">
  <labl>Total number of household members</labl>
  <imputation>Total number of household members</imputation>
  <security>Total number of household members</security>
  <embargo>Total number of household members</embargo>
  <respUnit>Total number of household members</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <txt>HHMEMTOTAL (V136) reports the total number of members of the woman's household.  

According to the DHS Recode Manuals, HHMEMTOTAL is calculated by summing "the number of usual residents and the number of visitors who slept in the house the previous night that were listed in the household schedule."  "Usual residents" of the household are identified by the RESIDENT variable.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HHKIDLT5" name="C_HHKIDLT5" files="C" intrvl="discrete">
  <labl>Number of children under 5 in household</labl>
  <imputation>Number of children under 5 in household</imputation>
  <security>Number of children under 5 in household</security>
  <embargo>Number of children under 5 in household</embargo>
  <respUnit>Number of children under 5 in household</respUnit>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <txt>HHKIDLT5 (V137) reports the number of children age 5 and under who reside in the household. Visiting children are not included in the count.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HHELIGWOMEN" name="C_HHELIGWOMEN" files="C" intrvl="discrete">
  <labl>Number of eligible women in household</labl>
  <imputation>Number of eligible women in household</imputation>
  <security>Number of eligible women in household</security>
  <embargo>Number of eligible women in household</embargo>
  <respUnit>Number of eligible women in household</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>No women age 15-49</labl>
  </catgry>
  <txt>HHELIGWOMEN (V138) reports the number of eligible women in the household, usually defined as women of childbearing age who slept in the household the previous night (regardless of whether they were usual residents or visitors).  The age and marital status guidelines for defining eligible women varies across samples. See Comparability.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HHEADAGE" name="C_HHEADAGE" files="C" intrvl="discrete">
  <labl>Age of household head</labl>
  <imputation>Age of household head</imputation>
  <security>Age of household head</security>
  <embargo>Age of household head</embargo>
  <respUnit>Age of household head</respUnit>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>97+</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>96</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>95</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
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    <labl>11</labl>
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    <labl>10</labl>
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    <labl>9</labl>
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    <labl>8</labl>
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    <labl>7</labl>
  </catgry>
  <catgry>
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    <labl>6</labl>
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  <catgry>
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    <labl>5</labl>
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    <labl>4</labl>
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  <catgry>
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    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <txt>HHEADAGE (V152) reports the age of the head of the household.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HHEADAGEHH" name="C_HHEADAGEHH" files="C" intrvl="discrete">
  <labl>Age of household head (from HH record)</labl>
  <imputation>Age of household head (from HH record)</imputation>
  <security>Age of household head (from HH record)</security>
  <embargo>Age of household head (from HH record)</embargo>
  <respUnit>Age of household head (from HH record)</respUnit>
  <qstn>
    <qstnLit>7) AGE:
How old is (NAME)?

NOTE '97' FOR 97 AND OLDER.

AGE: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>95+</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
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    <labl>79</labl>
  </catgry>
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    <labl>78</labl>
  </catgry>
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    <labl>77</labl>
  </catgry>
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    <labl>76</labl>
  </catgry>
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    <labl>75</labl>
  </catgry>
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    <labl>74</labl>
  </catgry>
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    <labl>73</labl>
  </catgry>
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  </catgry>
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    <labl>71</labl>
  </catgry>
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    <labl>70</labl>
  </catgry>
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    <labl>69</labl>
  </catgry>
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    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
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    <labl>66</labl>
  </catgry>
  <catgry>
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    <labl>65</labl>
  </catgry>
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  </catgry>
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  </catgry>
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  </catgry>
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    <labl>29</labl>
  </catgry>
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    <labl>28</labl>
  </catgry>
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    <labl>27</labl>
  </catgry>
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    <labl>26</labl>
  </catgry>
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    <labl>23</labl>
  </catgry>
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    <labl>22</labl>
  </catgry>
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    <labl>21</labl>
  </catgry>
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    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
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    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
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    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
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    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <txt>HHEADAGEHH (HV220) reports the age of the head of the household.

The information in HHEADAGEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HHEADSEX" name="C_HHEADSEX" files="C" intrvl="discrete">
  <labl>Sex of household head</labl>
  <imputation>Sex of household head</imputation>
  <security>Sex of household head</security>
  <embargo>Sex of household head</embargo>
  <respUnit>Sex of household head</respUnit>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <txt>HHEADSEX (V151) reports the sex of the head of the household.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HHEADSEXHH" name="C_HHEADSEXHH" files="C" intrvl="discrete">
  <labl>Sex of household head (from hh record)</labl>
  <imputation>Sex of household head (from hh record)</imputation>
  <security>Sex of household head (from hh record)</security>
  <embargo>Sex of household head (from hh record)</embargo>
  <respUnit>Sex of household head (from hh record)</respUnit>
  <qstn>
    <qstnLit>6) SEX:
Is (NAME) male or female?

MALE 1
FEMALE 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>HHEADSEXHH (HV219) reports the sex of the head of the household.

The information in HHEADSEXHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FAMSTRUCTR" name="C_FAMSTRUCTR" files="C" intrvl="discrete">
  <labl>Relationship structure in HH</labl>
  <imputation>Relationship structure in HH</imputation>
  <security>Relationship structure in HH</security>
  <embargo>Relationship structure in HH</embargo>
  <respUnit>Relationship structure in HH</respUnit>
  <qstn>
    <qstnLit>1) NUMBER</qstnLit>
  </qstn>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Unrelated adults</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Three plus related adults</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Two adults, same sex</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Two adults, opp sex</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>One adult</labl>
  </catgry>
  <catgry>
    <labl>No adults</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FAMSTRUCTR (HV217) indicates the relationship structure (no adults, one adult, two related adults of the opposite sex, two related adults of the same sex, three or more related adults, or unrelated adults) in the household. Only usual (de jure) household members aged 15 and over are considered in determining the household's relationship structure. FAMSTRUCTR is a constructed variable, based on information about each household member's age, sex, and relationship to the householder, which was collected when completing the listing of persons in the household at the time of the survey.

The information in FAMSTRUCTR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_SLEEPROOMS" name="C_SLEEPROOMS" files="C" intrvl="discrete">
  <labl>Number of rooms in HH used for sleeping</labl>
  <imputation>Number of rooms in HH used for sleeping</imputation>
  <security>Number of rooms in HH used for sleeping</security>
  <embargo>Number of rooms in HH used for sleeping</embargo>
  <respUnit>Number of rooms in HH used for sleeping</respUnit>
  <qstn>
    <qstnLit>24) In your household, how many rooms do you use for sleeping?

ROOMS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35+</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>SLEEPROOMS (HV216) reports the number of rooms in the household used for sleeping.</txt>
  <concept>
    <title>Housing Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FLOOR" name="C_FLOOR" files="C" intrvl="discrete">
  <labl>Main material of floor</labl>
  <imputation>Main material of floor</imputation>
  <security>Main material of floor</security>
  <embargo>Main material of floor</embargo>
  <respUnit>Main material of floor</respUnit>
  <qstn>
    <qstnLit>25) PRINCIPLE FLOORING MATERIAL.

RECORD OBSERVATION.

NATURAL FLOOR

EARTH/SAND 11

FINISHED FLOOR

PARQUET OR POLISHED WOOD 31
VINYL STRIPS 32
TILE 33
CEMENT 34
RUG 35

OTHER (SPECIFY): ___ 41</qstnLit>
  </qstn>
  <catgry>
    <catValu>116</catValu>
    <labl>Mud and hay</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>391</catValu>
    <labl>Plaster</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>NATURAL</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>Earth-based</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>Earth, sand</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>Earth, mud</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>Earth, mud, clay</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>Sand</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>Dirt/Earth</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Dung-based</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>Dung</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>Earth and dung</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>Mud, dung, sand</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>RUDIMENTARY</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Wood</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>Wood planks</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>Wood and tile</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>Wood/palm/bamboo</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>Palm/bamboo</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>Palm/bamboo/leaves</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>Other rudimentary</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>Broken bricks</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>Adobe</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>Unfinished stone</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>FINISHED</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>Parquet/polished wood</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>Polished wood/vinyl/tiles</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>Vinyl/asphalt strips/linoleum</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>Linoleum</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>Tiles/mosaic</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>Ceramic tiles</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>Cement tiles</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>Ceramic/terrazo tiles</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>Ceramic/marble tiles</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>Tiles/brick</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>Cement/concrete</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>Carpet</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>Terrazzo</labl>
  </catgry>
  <catgry>
    <catValu>370</catValu>
    <labl>Stone</labl>
  </catgry>
  <catgry>
    <catValu>380</catValu>
    <labl>Bricks</labl>
  </catgry>
  <catgry>
    <catValu>390</catValu>
    <labl>Other finished</labl>
  </catgry>
  <catgry>
    <catValu>400</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>Vinyl</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>Mat</labl>
  </catgry>
  <txt>FLOOR (HV213) reports the main material of the floor of the dwelling.  Response categories vary widely across surveys but fall into broad groups (i.e., natural materials, rudimentary processed materials, and finished materials).  See Comparability.</txt>
  <concept>
    <title>Housing Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ROOF" name="C_ROOF" files="C" intrvl="discrete">
  <labl>Main material of roof</labl>
  <imputation>Main material of roof</imputation>
  <security>Main material of roof</security>
  <embargo>Main material of roof</embargo>
  <respUnit>Main material of roof</respUnit>
  <qstn>
    <qstnLit>26) MAIN ROOF MATERIAL.

RECORD OBSERVATION.

CONCRETE 01
SHEET METAL 02
BANCO [TRANSLATOR NOTE: A TYPE OF MUDBRICK OR ADOBE SPECIFIC TO WEST AFRICA] 03
STRAW 04
CANVAS 05
OTHER (SPECIFY): ___ 06</qstnLit>
  </qstn>
  <catgry>
    <catValu>126</catValu>
    <labl>Mud and hay</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>Sticks/sticks with mud or dung</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>Reinforced brick cement</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>000</catValu>
    <labl>No roof</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>NATURAL</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>Thatch/palm leaf/grass/makuti</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>Thatch/palm leaf</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>Grass, thatch</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>Grass, thatch, makuti</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>Thatch</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>Thatch/mat/leaves</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>Leaves</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>Grass/leaves/mud</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Earth</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>Mud</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>Dung, mud</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>Earth, mud</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>Sod</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>Sod/mud and grass mixture</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>Straw</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>RUDIMENTARY</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Rustic mat</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>Rustic mat, plastic sheets</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>Plastic/polythene sheet</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>Palm/bamboo</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>Palm, bamboo, grass</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>Reed, bamboo</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>Wood planks</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>Wooden tiles, planks</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>Wood, mulch</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>Cardboard</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>Rudimentary - metal</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>Tin cans</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>Iron sheets</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>Other rudimentary</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>Mobile roofs of nomads</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>Skin</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>FINISHED</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>Metal</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>Metal, zinc</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>Corrugated metal sheet, asbestos</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>Corrugated iron</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>Tin</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>Asbetos</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>Wood</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>Cement/concrete</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>Cement</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>Concrete</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>Tiles</labl>
  </catgry>
  <catgry>
    <catValu>341</catValu>
    <labl>Ceramic tiles</labl>
  </catgry>
  <catgry>
    <catValu>342</catValu>
    <labl>Iron and tiles</labl>
  </catgry>
  <catgry>
    <catValu>343</catValu>
    <labl>Tiles/slate</labl>
  </catgry>
  <catgry>
    <catValu>344</catValu>
    <labl>Mud tiles</labl>
  </catgry>
  <catgry>
    <catValu>345</catValu>
    <labl>Ceramic tiles, harvey (steel) tiles</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>Cement fiber</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>Calamine/cement fiber</labl>
  </catgry>
  <catgry>
    <catValu>352</catValu>
    <labl>Asbestos, cement fiber</labl>
  </catgry>
  <catgry>
    <catValu>353</catValu>
    <labl>Zinc/cement fiber</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>Roofing shingles</labl>
  </catgry>
  <catgry>
    <catValu>370</catValu>
    <labl>Bricks</labl>
  </catgry>
  <catgry>
    <catValu>371</catValu>
    <labl>Unburnt bricks</labl>
  </catgry>
  <catgry>
    <catValu>372</catValu>
    <labl>Burnt brick</labl>
  </catgry>
  <catgry>
    <catValu>380</catValu>
    <labl>Stone</labl>
  </catgry>
  <catgry>
    <catValu>381</catValu>
    <labl>Loosely packed stone</labl>
  </catgry>
  <catgry>
    <catValu>382</catValu>
    <labl>Stone slabs</labl>
  </catgry>
  <catgry>
    <catValu>383</catValu>
    <labl>Slate</labl>
  </catgry>
  <catgry>
    <catValu>400</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>Waste materials</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ROOF (HV215) reports the main material of the roof of the dwelling.  Response categories vary widely across surveys but fall into broad groups (i.e., natural materials, rudimentary processed materials, and finished materials).  See Comparability.</txt>
  <concept>
    <title>Housing Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ELECTRC" name="C_ELECTRC" files="C" intrvl="discrete">
  <labl>Has electricity</labl>
  <imputation>Has electricity</imputation>
  <security>Has electricity</security>
  <embargo>Has electricity</embargo>
  <respUnit>Has electricity</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <txt>ELECTRC (V119) indicates whether the household has electricity. Samples vary in how that information was collected. See Comparability.</txt>
  <concept>
    <title>Housing Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ELECTRCHH" name="C_ELECTRCHH" files="C" intrvl="discrete">
  <labl>Dwelling has electricity (from hh record)</labl>
  <imputation>Dwelling has electricity (from hh record)</imputation>
  <security>Dwelling has electricity (from hh record)</security>
  <embargo>Dwelling has electricity (from hh record)</embargo>
  <respUnit>Dwelling has electricity (from hh record)</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ELECTRCHH (HV206) indicates whether the household has electricity. Samples vary in how that information was collected.

The information in ELECTRCHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Housing Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TOILETTYPE" name="C_TOILETTYPE" files="C" intrvl="discrete">
  <labl>Type of toilet facility</labl>
  <imputation>Type of toilet facility</imputation>
  <security>Type of toilet facility</security>
  <embargo>Type of toilet facility</embargo>
  <respUnit>Type of toilet facility</respUnit>
  <qstn>
    <qstnLit>22) What kind of toilet is there in your household?

FLUSH TOILET

OWN FLUSH TOILET 11
SHARED FLUSH TOILET 12
PUBLIC FLUSH TOILET 13

PIT TOILET OR LATRINE

TRADITIONAL PIT TOILET 21
VENTILATED IMPROVED PIT (VIP) OR LATRINES 22

NO FACILITY/BRUSH/FIELD 31
OTHER (SPECIFY): ___ 41</qstnLit>
  </qstn>
  <catgry>
    <catValu>3431</catValu>
    <labl>Pit latrine with ventilation pipe, no mesh</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>0000</catValu>
    <labl>NO FACILITY</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>FLUSH TOILET</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Unspecified type of flush toilet</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>Own flush toilet (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>Shared flush toilet (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Modern flush toilet</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Flush to piped sewer system</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>Traditional with tank flush</labl>
  </catgry>
  <catgry>
    <catValu>1400</catValu>
    <labl>Bucket flush toilet</labl>
  </catgry>
  <catgry>
    <catValu>1410</catValu>
    <labl>Flush to pit latrine</labl>
  </catgry>
  <catgry>
    <catValu>1420</catValu>
    <labl>Flush to somewhere else</labl>
  </catgry>
  <catgry>
    <catValu>1430</catValu>
    <labl>Flush, don't know where</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>NON-FLUSHING TOILET</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Composting toilet</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Dry toilet</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Ecosan toilet</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>PIT TOILET LATRINE</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Unspecified type of pit latrine</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Own pit toilet or latrine (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Shared pit toiletor latrine (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>3121</catValu>
    <labl>Public pit toilet or latrine (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>Traditional pit toilet or latrine</labl>
  </catgry>
  <catgry>
    <catValu>3210</catValu>
    <labl>Pit latrine without slab or open pit</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Pit latrine with slab</labl>
  </catgry>
  <catgry>
    <catValu>3400</catValu>
    <labl>Ventilated improved pit latrine</labl>
  </catgry>
  <catgry>
    <catValu>3410</catValu>
    <labl>Covered pit latrine, no slab</labl>
  </catgry>
  <catgry>
    <catValu>3420</catValu>
    <labl>Covered pit latrine with slab</labl>
  </catgry>
  <catgry>
    <catValu>3430</catValu>
    <labl>Covered latrine</labl>
  </catgry>
  <catgry>
    <catValu>3440</catValu>
    <labl>Septic pit</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>UNIMPROVED TOILET</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>Bucket toilet</labl>
  </catgry>
  <catgry>
    <catValu>4200</catValu>
    <labl>River</labl>
  </catgry>
  <catgry>
    <catValu>4300</catValu>
    <labl>Hanging latrine over water source</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1112</catValu>
    <labl>Private flush toilet, outside residence</labl>
  </catgry>
  <catgry>
    <catValu>1211</catValu>
    <labl>Flush to piped sewer system, indoors</labl>
  </catgry>
  <catgry>
    <catValu>1212</catValu>
    <labl>Flush to piped sewer system, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>1213</catValu>
    <labl>Flush to piped sewer system, out  of yard</labl>
  </catgry>
  <catgry>
    <catValu>3310</catValu>
    <labl>Pit latrine with washable slab</labl>
  </catgry>
  <catgry>
    <catValu>3320</catValu>
    <labl>Pit latrine with non-washable slab</labl>
  </catgry>
  <catgry>
    <catValu>3490</catValu>
    <labl>Other improved system</labl>
  </catgry>
  <catgry>
    <catValu>3463</catValu>
    <labl>Latrine to piped public system, out of yard</labl>
  </catgry>
  <catgry>
    <catValu>3462</catValu>
    <labl>Latrine to piped public system, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>3461</catValu>
    <labl>Latrine to piped public system, indoors</labl>
  </catgry>
  <catgry>
    <catValu>3443</catValu>
    <labl>Latrine to septic tank, out of yard</labl>
  </catgry>
  <catgry>
    <catValu>3442</catValu>
    <labl>Latrine to septic tank, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>3441</catValu>
    <labl>Latrine to septic tank, indoors</labl>
  </catgry>
  <catgry>
    <catValu>3212</catValu>
    <labl>Open pit latrine, out of yard</labl>
  </catgry>
  <catgry>
    <catValu>3211</catValu>
    <labl>Open pit latrine, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>1253</catValu>
    <labl>Flush to septic tank, out of yard</labl>
  </catgry>
  <catgry>
    <catValu>1252</catValu>
    <labl>Flush to septic tank, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>1251</catValu>
    <labl>Flush to septic tank, indoors</labl>
  </catgry>
  <catgry>
    <catValu>1250</catValu>
    <labl>Flush to septic tank</labl>
  </catgry>
  <catgry>
    <catValu>1240</catValu>
    <labl>Flush, not to sewer</labl>
  </catgry>
  <catgry>
    <catValu>1233</catValu>
    <labl>Flush to ground water, out of yard</labl>
  </catgry>
  <catgry>
    <catValu>1232</catValu>
    <labl>Flush to ground water, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>1231</catValu>
    <labl>Flush to ground water, indoors</labl>
  </catgry>
  <catgry>
    <catValu>3450</catValu>
    <labl>Latrine with manual flush</labl>
  </catgry>
  <catgry>
    <catValu>3460</catValu>
    <labl>Latrine to piped public system</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1230</catValu>
    <labl>Flush to pipe connected to ground water</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Flush to pipe connected to canal</labl>
  </catgry>
  <catgry>
    <catValu>1132</catValu>
    <labl>Public flush toilet, outside residence</labl>
  </catgry>
  <catgry>
    <catValu>1131</catValu>
    <labl>Public flush toilet, inside residence</labl>
  </catgry>
  <catgry>
    <catValu>1130</catValu>
    <labl>Public flush toilet (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>1111</catValu>
    <labl>Private flush toilet, inside residence</labl>
  </catgry>
  <txt>TOILETTYPE (HV205) reports the household's type of toilet facility, with no facility coded "0." Responses vary widely across surveys; see Comparability.

The information in TOILETTYPE is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_NDRINKWTR" name="C_NDRINKWTR" files="C" intrvl="discrete">
  <labl>Major source of non-drinking water</labl>
  <imputation>Major source of non-drinking water</imputation>
  <security>Major source of non-drinking water</security>
  <embargo>Major source of non-drinking water</embargo>
  <respUnit>Major source of non-drinking water</respUnit>
  <qstn>
    <qstnLit>18) Where does the water your household uses for hand and dishwashing come from?

PIPED WATER

PIPED INTO THE RESIDENCE/YARD/PLOT 11 (GO TO 20)
PUBLIC TAP 12

WELL WATER

WELL IN THE RESIDENCE/YARD/PLOT 21 (GO TO 20)
PUBLIC WELL OR BOREHOLE 22

SURFACE WATER

SPRING 31
RIVER OR STREAM 32
POND/LAKE 33
DAM 34

RAINWATER 41 (GO TO 20)
WATER VENDOR 51
BOTTLED WATER 61 (GO TO 20)
OTHER (SPECIFY): ___ 71</qstnLit>
  </qstn>
  <catgry>
    <catValu>9996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>PIPED WATER</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Piped into own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>Piped into own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>Piped into own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Piped outside own residence/plot</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Public tap/standpipe</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Piped into neighbor's dwelling/yard</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>WELL WATER</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Unprotected/open well</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Open well in own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2111</catValu>
    <labl>Open well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2112</catValu>
    <labl>Open well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>Open public well</labl>
  </catgry>
  <catgry>
    <catValu>2130</catValu>
    <labl>Open well in neighbor's residence</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Protected well</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Protected well in own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2211</catValu>
    <labl>Protected well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2212</catValu>
    <labl>Protected well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2220</catValu>
    <labl>Protected public well</labl>
  </catgry>
  <catgry>
    <catValu>2230</catValu>
    <labl>Tube well or borehole</labl>
  </catgry>
  <catgry>
    <catValu>2231</catValu>
    <labl>Borehole in yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2232</catValu>
    <labl>Public borehole</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Unspecified well</labl>
  </catgry>
  <catgry>
    <catValu>2310</catValu>
    <labl>Unspecified well in residence/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2311</catValu>
    <labl>Unspecified well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2312</catValu>
    <labl>Unspecified well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2313</catValu>
    <labl>Handpump in yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2320</catValu>
    <labl>Unspecified public well</labl>
  </catgry>
  <catgry>
    <catValu>2321</catValu>
    <labl>Public shallow well</labl>
  </catgry>
  <catgry>
    <catValu>2322</catValu>
    <labl>Public traditional well</labl>
  </catgry>
  <catgry>
    <catValu>2323</catValu>
    <labl>Public handpump</labl>
  </catgry>
  <catgry>
    <catValu>2330</catValu>
    <labl>Unspecified neighbor's well</labl>
  </catgry>
  <catgry>
    <catValu>2340</catValu>
    <labl>Unspecified well by type</labl>
  </catgry>
  <catgry>
    <catValu>2341</catValu>
    <labl>Well with pump</labl>
  </catgry>
  <catgry>
    <catValu>2342</catValu>
    <labl>Well without pump</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>SURFACE WATER</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Spring</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Protected spring</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Unprotected spring</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>River/dam/lake/ponds/streams/canal/irrigation channel</labl>
  </catgry>
  <catgry>
    <catValu>3210</catValu>
    <labl>River, stream</labl>
  </catgry>
  <catgry>
    <catValu>3220</catValu>
    <labl>Pond, lake</labl>
  </catgry>
  <catgry>
    <catValu>3230</catValu>
    <labl>Dam</labl>
  </catgry>
  <catgry>
    <catValu>3240</catValu>
    <labl>Canal or river/canal</labl>
  </catgry>
  <catgry>
    <catValu>3250</catValu>
    <labl>Irrigation ditch</labl>
  </catgry>
  <catgry>
    <catValu>3260</catValu>
    <labl>Dugout pond</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Channeled by gravity flow scheme</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>RAINWATER</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>Rainwater collected in tank</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>PURCHASED FROM SUPPLIER</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Tanker truck</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Cart with small tank</labl>
  </catgry>
  <catgry>
    <catValu>5300</catValu>
    <labl>Water vendor</labl>
  </catgry>
  <catgry>
    <catValu>5400</catValu>
    <labl>Bottled water</labl>
  </catgry>
  <catgry>
    <catValu>5410</catValu>
    <labl>Sachet water (in a bag)</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>OTHER SOURCE</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>5201</catValu>
    <labl>Motorcycle with 3 wheels</labl>
  </catgry>
  <txt>NDRINKWTR (HV202) reports the household's main source of water for uses other than drinking (for example, cooking and washing).  Responses vary widely across surveys; see Comparability.

The information in NDRINKWTR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DRINKWTR" name="C_DRINKWTR" files="C" intrvl="discrete">
  <labl>Major source of drinking water</labl>
  <imputation>Major source of drinking water</imputation>
  <security>Major source of drinking water</security>
  <embargo>Major source of drinking water</embargo>
  <respUnit>Major source of drinking water</respUnit>
  <qstn>
    <qstnLit>21) Where does the water your household uses for drinking come from?

PIPED WATER

PIPED INTO THE RESIDENCE/YARD/PLOT 11
PUBLIC TAP 12

WELL WATER

WELL IN THE RESIDENCE/YARD/PLOT 21
PUBLIC WELL OR BOREHOLE 22

SURFACE WATER

SPRING 31
RIVER OR STREAM 32
POND/LAKE 33
DAM 34

RAINWATER 41
WATER VENDOR 51
BOTTLED WATER 61
OTHER (SPECIFY): ___ 71</qstnLit>
  </qstn>
  <catgry>
    <catValu>2213</catValu>
    <labl>Protected well in neighbor's residence/plot</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>PIPED WATER</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Piped into own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>Piped into own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>Piped into own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Piped outside own residence/plot</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Public tap/standpipe</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Piped into neighbor's dwelling/yard</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>WELL WATER</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Unprotected/open well</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Open well in own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2111</catValu>
    <labl>Open well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2112</catValu>
    <labl>Open well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>Open public well</labl>
  </catgry>
  <catgry>
    <catValu>2130</catValu>
    <labl>Open well in neighbor's residence</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Protected well</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Protected well in own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2211</catValu>
    <labl>Protected well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2212</catValu>
    <labl>Protected well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2220</catValu>
    <labl>Protected public well</labl>
  </catgry>
  <catgry>
    <catValu>2230</catValu>
    <labl>Tube well or borehole</labl>
  </catgry>
  <catgry>
    <catValu>2231</catValu>
    <labl>Borehole in yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2232</catValu>
    <labl>Public borehole</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Unspecified well</labl>
  </catgry>
  <catgry>
    <catValu>2310</catValu>
    <labl>Unspecified well in residence/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2311</catValu>
    <labl>Unspecified well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2312</catValu>
    <labl>Unspecified well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2313</catValu>
    <labl>Handpump in yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2320</catValu>
    <labl>Unspecified public well</labl>
  </catgry>
  <catgry>
    <catValu>2321</catValu>
    <labl>Public shallow well</labl>
  </catgry>
  <catgry>
    <catValu>2322</catValu>
    <labl>Public traditional well</labl>
  </catgry>
  <catgry>
    <catValu>2323</catValu>
    <labl>Public handpump</labl>
  </catgry>
  <catgry>
    <catValu>2330</catValu>
    <labl>Unspecified neighbor's well</labl>
  </catgry>
  <catgry>
    <catValu>2340</catValu>
    <labl>Unspecified well by type</labl>
  </catgry>
  <catgry>
    <catValu>2341</catValu>
    <labl>Well with pump</labl>
  </catgry>
  <catgry>
    <catValu>2342</catValu>
    <labl>Well without pump</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>SURFACE WATER</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Spring</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Protected spring/surface water</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Unprotected spring/surface water</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>River/dam/lake/ponds/streams/canal/irrigation channel</labl>
  </catgry>
  <catgry>
    <catValu>3210</catValu>
    <labl>River, stream</labl>
  </catgry>
  <catgry>
    <catValu>3220</catValu>
    <labl>Pond, lake</labl>
  </catgry>
  <catgry>
    <catValu>3230</catValu>
    <labl>Dam</labl>
  </catgry>
  <catgry>
    <catValu>3240</catValu>
    <labl>Canal or river/canal</labl>
  </catgry>
  <catgry>
    <catValu>3250</catValu>
    <labl>Irrigation ditch</labl>
  </catgry>
  <catgry>
    <catValu>3260</catValu>
    <labl>Dugout pond</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Channeled by gravity flow scheme</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>RAINWATER</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>Rainwater collected in tank</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>PURCHASED FROM SUPPLIER</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Tanker truck</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Cart with small tank</labl>
  </catgry>
  <catgry>
    <catValu>5300</catValu>
    <labl>Water vendor</labl>
  </catgry>
  <catgry>
    <catValu>5400</catValu>
    <labl>Bottled water</labl>
  </catgry>
  <catgry>
    <catValu>5410</catValu>
    <labl>Sachet water (in a bag)</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>OTHER SOURCE</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1211</catValu>
    <labl>Public tap from filtration plant</labl>
  </catgry>
  <catgry>
    <catValu>1212</catValu>
    <labl>Public tap from stone pipes</labl>
  </catgry>
  <catgry>
    <catValu>5310</catValu>
    <labl>Water vendor from unknown source</labl>
  </catgry>
  <catgry>
    <catValu>5320</catValu>
    <labl>Water vendor from protected well</labl>
  </catgry>
  <catgry>
    <catValu>5330</catValu>
    <labl>Water vendor from unprotected well</labl>
  </catgry>
  <catgry>
    <catValu>5340</catValu>
    <labl>Water vendor from pond/lake</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>5500</catValu>
    <labl>Community reverse osmosis plant</labl>
  </catgry>
  <catgry>
    <catValu>5201</catValu>
    <labl>Motorcycle with 3 wheels</labl>
  </catgry>
  <txt>DRINKWTR (HV201) reports the household's main source of drinking water.  Responses vary widely across surveys; see Comparability.

The information in DRINKWTR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_SAMEH2OSRC" name="C_SAMEH2OSRC" files="C" intrvl="discrete">
  <labl>Same water source used for drinking and other water</labl>
  <imputation>Same water source used for drinking and other water</imputation>
  <security>Same water source used for drinking and other water</security>
  <embargo>Same water source used for drinking and other water</embargo>
  <respUnit>Same water source used for drinking and other water</respUnit>
  <qstn>
    <qstnLit>20) Does your household use water from the same source for drinking?

YES 1 (GO TO 22)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <txt>SAMEH2OSRC (V142) indicates whether the household used the same source of water for drinking and for other uses (such as laundry and dishwashing).  For samples without this variable, the information could be calculated by comparing the household's reported sources of drinking water and water for other uses.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_SAMEH2OSRCHH" name="C_SAMEH2OSRCHH" files="C" intrvl="discrete">
  <labl>Same water source used for drinking and other water (HH record)</labl>
  <imputation>Same water source used for drinking and other water (HH record)</imputation>
  <security>Same water source used for drinking and other water (HH record)</security>
  <embargo>Same water source used for drinking and other water (HH record)</embargo>
  <respUnit>Same water source used for drinking and other water (HH record)</respUnit>
  <qstn>
    <qstnLit>20) Does your household use water from the same source for drinking?

YES 1 (GO TO 22)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>With information taken from the household record, SAMEH2OSRCHH (HV203) indicates whether the household used the same source of water for drinking and for other uses (such as laundry and dishwashing).  For samples without this variable, the information could be calculated by comparing the household's reported sources of drinking water and water for other uses.

The information in SAMEH2OSRCHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TIMETOWTRIND" name="C_TIMETOWTRIND" files="C" intrvl="discrete">
  <labl>Time to water source (from individual respondent record)</labl>
  <imputation>Time to water source (from individual respondent record)</imputation>
  <security>Time to water source (from individual respondent record)</security>
  <embargo>Time to water source (from individual respondent record)</embargo>
  <respUnit>Time to water source (from individual respondent record)</respUnit>
  <qstn>
    <qstnLit>19) How much time does it take to go there, get water, and come back?

MINUTES: ___
ON LOCATION 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
    <labl>0 (on premises)</labl>
  </catgry>
  <catgry>
    <catValu>001</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>002</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>003</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>004</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>005</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>006</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>007</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>008</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>009</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>010</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>011</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>012</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>013</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>014</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>015</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>016</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>017</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>018</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>019</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>020</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>021</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>022</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>023</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>024</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>025</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>026</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>027</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>028</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>029</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>030</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>031</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>032</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>033</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>034</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>035</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>036</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>037</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>038</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>039</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>040</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>041</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>042</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>043</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>044</catValu>
    <labl>44</labl>
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  <catgry>
    <catValu>045</catValu>
    <labl>45</labl>
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  <catgry>
    <catValu>046</catValu>
    <labl>46</labl>
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  <catgry>
    <catValu>047</catValu>
    <labl>47</labl>
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  <catgry>
    <catValu>048</catValu>
    <labl>48</labl>
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  <catgry>
    <catValu>049</catValu>
    <labl>49</labl>
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  <catgry>
    <catValu>050</catValu>
    <labl>50</labl>
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  <catgry>
    <catValu>051</catValu>
    <labl>51</labl>
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  <catgry>
    <catValu>052</catValu>
    <labl>52</labl>
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  <catgry>
    <catValu>053</catValu>
    <labl>53</labl>
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  <catgry>
    <catValu>054</catValu>
    <labl>54</labl>
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  <catgry>
    <catValu>055</catValu>
    <labl>55</labl>
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  <catgry>
    <catValu>056</catValu>
    <labl>56</labl>
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  <catgry>
    <catValu>057</catValu>
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  <catgry>
    <catValu>058</catValu>
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  <catgry>
    <catValu>059</catValu>
    <labl>59</labl>
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  <catgry>
    <catValu>060</catValu>
    <labl>60</labl>
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  <catgry>
    <catValu>061</catValu>
    <labl>61</labl>
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  <catgry>
    <catValu>062</catValu>
    <labl>62</labl>
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  <catgry>
    <catValu>063</catValu>
    <labl>63</labl>
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  <catgry>
    <catValu>064</catValu>
    <labl>64</labl>
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  <catgry>
    <catValu>065</catValu>
    <labl>65</labl>
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  <catgry>
    <catValu>066</catValu>
    <labl>66</labl>
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  <catgry>
    <catValu>067</catValu>
    <labl>67</labl>
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  <catgry>
    <catValu>068</catValu>
    <labl>68</labl>
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  <catgry>
    <catValu>069</catValu>
    <labl>69</labl>
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  <catgry>
    <catValu>070</catValu>
    <labl>70</labl>
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  <catgry>
    <catValu>071</catValu>
    <labl>71</labl>
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  <catgry>
    <catValu>072</catValu>
    <labl>72</labl>
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  <catgry>
    <catValu>073</catValu>
    <labl>73</labl>
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  <catgry>
    <catValu>074</catValu>
    <labl>74</labl>
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  <catgry>
    <catValu>075</catValu>
    <labl>75</labl>
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  <catgry>
    <catValu>076</catValu>
    <labl>76</labl>
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  <catgry>
    <catValu>077</catValu>
    <labl>77</labl>
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  <catgry>
    <catValu>078</catValu>
    <labl>78</labl>
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  <catgry>
    <catValu>079</catValu>
    <labl>79</labl>
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  <catgry>
    <catValu>080</catValu>
    <labl>80</labl>
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  <catgry>
    <catValu>081</catValu>
    <labl>81</labl>
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  <catgry>
    <catValu>082</catValu>
    <labl>82</labl>
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  <catgry>
    <catValu>083</catValu>
    <labl>83</labl>
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  <catgry>
    <catValu>084</catValu>
    <labl>84</labl>
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  <catgry>
    <catValu>085</catValu>
    <labl>85</labl>
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  <catgry>
    <catValu>086</catValu>
    <labl>86</labl>
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  <catgry>
    <catValu>087</catValu>
    <labl>87</labl>
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  <catgry>
    <catValu>088</catValu>
    <labl>88</labl>
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  <catgry>
    <catValu>089</catValu>
    <labl>89</labl>
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  <catgry>
    <catValu>090</catValu>
    <labl>90</labl>
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  <catgry>
    <catValu>091</catValu>
    <labl>91</labl>
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  <catgry>
    <catValu>092</catValu>
    <labl>92</labl>
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  <catgry>
    <catValu>093</catValu>
    <labl>93</labl>
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  <catgry>
    <catValu>094</catValu>
    <labl>94</labl>
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  <catgry>
    <catValu>095</catValu>
    <labl>95</labl>
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  <catgry>
    <catValu>096</catValu>
    <labl>96</labl>
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  <catgry>
    <catValu>097</catValu>
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  <catgry>
    <catValu>098</catValu>
    <labl>98</labl>
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  <catgry>
    <catValu>099</catValu>
    <labl>99</labl>
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  <catgry>
    <catValu>100</catValu>
    <labl>100</labl>
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  <catgry>
    <catValu>101</catValu>
    <labl>101</labl>
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  <catgry>
    <catValu>102</catValu>
    <labl>102</labl>
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  <catgry>
    <catValu>103</catValu>
    <labl>103</labl>
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  <catgry>
    <catValu>104</catValu>
    <labl>104</labl>
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  <catgry>
    <catValu>105</catValu>
    <labl>105</labl>
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  <catgry>
    <catValu>106</catValu>
    <labl>106</labl>
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  <catgry>
    <catValu>107</catValu>
    <labl>107</labl>
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  <catgry>
    <catValu>108</catValu>
    <labl>108</labl>
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  <catgry>
    <catValu>109</catValu>
    <labl>109</labl>
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  <catgry>
    <catValu>110</catValu>
    <labl>110</labl>
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  <catgry>
    <catValu>111</catValu>
    <labl>111</labl>
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  <catgry>
    <catValu>112</catValu>
    <labl>112</labl>
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  <catgry>
    <catValu>113</catValu>
    <labl>113</labl>
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  <catgry>
    <catValu>114</catValu>
    <labl>114</labl>
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  <catgry>
    <catValu>115</catValu>
    <labl>115</labl>
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  <catgry>
    <catValu>116</catValu>
    <labl>116</labl>
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  <catgry>
    <catValu>117</catValu>
    <labl>117</labl>
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  <catgry>
    <catValu>118</catValu>
    <labl>118</labl>
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  <catgry>
    <catValu>119</catValu>
    <labl>119</labl>
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  <catgry>
    <catValu>120</catValu>
    <labl>120</labl>
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  <catgry>
    <catValu>121</catValu>
    <labl>121</labl>
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  <catgry>
    <catValu>122</catValu>
    <labl>122</labl>
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  <catgry>
    <catValu>123</catValu>
    <labl>123</labl>
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  <catgry>
    <catValu>124</catValu>
    <labl>124</labl>
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  <catgry>
    <catValu>125</catValu>
    <labl>125</labl>
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  <catgry>
    <catValu>126</catValu>
    <labl>126</labl>
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  <catgry>
    <catValu>127</catValu>
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  <catgry>
    <catValu>128</catValu>
    <labl>128</labl>
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  <catgry>
    <catValu>129</catValu>
    <labl>129</labl>
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  <catgry>
    <catValu>130</catValu>
    <labl>130</labl>
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  <catgry>
    <catValu>131</catValu>
    <labl>131</labl>
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  <catgry>
    <catValu>132</catValu>
    <labl>132</labl>
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  <catgry>
    <catValu>133</catValu>
    <labl>133</labl>
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  <catgry>
    <catValu>134</catValu>
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  <catgry>
    <catValu>135</catValu>
    <labl>135</labl>
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  <catgry>
    <catValu>136</catValu>
    <labl>136</labl>
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  <catgry>
    <catValu>137</catValu>
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  <catgry>
    <catValu>138</catValu>
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  <catgry>
    <catValu>139</catValu>
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  <catgry>
    <catValu>140</catValu>
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  <catgry>
    <catValu>141</catValu>
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  <catgry>
    <catValu>142</catValu>
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  <catgry>
    <catValu>143</catValu>
    <labl>143</labl>
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  <catgry>
    <catValu>144</catValu>
    <labl>144</labl>
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  <catgry>
    <catValu>145</catValu>
    <labl>145</labl>
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  <catgry>
    <catValu>146</catValu>
    <labl>146</labl>
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  <catgry>
    <catValu>147</catValu>
    <labl>147</labl>
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  <catgry>
    <catValu>148</catValu>
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  <catgry>
    <catValu>149</catValu>
    <labl>149</labl>
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  <catgry>
    <catValu>150</catValu>
    <labl>150</labl>
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  <catgry>
    <catValu>151</catValu>
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  <catgry>
    <catValu>152</catValu>
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  <catgry>
    <catValu>153</catValu>
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  <catgry>
    <catValu>154</catValu>
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  <catgry>
    <catValu>155</catValu>
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  <catgry>
    <catValu>156</catValu>
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  <catgry>
    <catValu>157</catValu>
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  <catgry>
    <catValu>158</catValu>
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  <catgry>
    <catValu>159</catValu>
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    <catValu>160</catValu>
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  <catgry>
    <catValu>161</catValu>
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  <catgry>
    <catValu>162</catValu>
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  <catgry>
    <catValu>163</catValu>
    <labl>163</labl>
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  <catgry>
    <catValu>164</catValu>
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  <catgry>
    <catValu>165</catValu>
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  <catgry>
    <catValu>166</catValu>
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  <catgry>
    <catValu>167</catValu>
    <labl>167</labl>
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  <catgry>
    <catValu>168</catValu>
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  <catgry>
    <catValu>169</catValu>
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    <catValu>170</catValu>
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    <catValu>171</catValu>
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    <catValu>172</catValu>
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    <catValu>173</catValu>
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    <catValu>174</catValu>
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    <catValu>175</catValu>
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    <catValu>176</catValu>
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    <catValu>177</catValu>
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    <catValu>178</catValu>
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  <catgry>
    <catValu>179</catValu>
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  <catgry>
    <catValu>180</catValu>
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    <catValu>181</catValu>
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    <catValu>182</catValu>
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    <catValu>183</catValu>
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    <catValu>184</catValu>
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    <catValu>185</catValu>
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  <catgry>
    <catValu>186</catValu>
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  <catgry>
    <catValu>187</catValu>
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  <catgry>
    <catValu>188</catValu>
    <labl>188</labl>
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  <catgry>
    <catValu>189</catValu>
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    <catValu>190</catValu>
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    <catValu>191</catValu>
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    <catValu>192</catValu>
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    <catValu>193</catValu>
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  <catgry>
    <catValu>194</catValu>
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  <catgry>
    <catValu>195</catValu>
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  <catgry>
    <catValu>196</catValu>
    <labl>196</labl>
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  <catgry>
    <catValu>197</catValu>
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    <catValu>198</catValu>
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  <catgry>
    <catValu>199</catValu>
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  <catgry>
    <catValu>200</catValu>
    <labl>200</labl>
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  <catgry>
    <catValu>201</catValu>
    <labl>201</labl>
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  <catgry>
    <catValu>202</catValu>
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  <catgry>
    <catValu>203</catValu>
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  <catgry>
    <catValu>204</catValu>
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  <catgry>
    <catValu>205</catValu>
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  <catgry>
    <catValu>206</catValu>
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  <catgry>
    <catValu>207</catValu>
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  <catgry>
    <catValu>208</catValu>
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  <catgry>
    <catValu>209</catValu>
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  <catgry>
    <catValu>210</catValu>
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  <catgry>
    <catValu>211</catValu>
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  <catgry>
    <catValu>212</catValu>
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  <catgry>
    <catValu>213</catValu>
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  <catgry>
    <catValu>214</catValu>
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  <catgry>
    <catValu>215</catValu>
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  <catgry>
    <catValu>216</catValu>
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  <catgry>
    <catValu>217</catValu>
    <labl>217</labl>
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  <catgry>
    <catValu>218</catValu>
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  <catgry>
    <catValu>219</catValu>
    <labl>219</labl>
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  <catgry>
    <catValu>220</catValu>
    <labl>220</labl>
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  <catgry>
    <catValu>221</catValu>
    <labl>221</labl>
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  <catgry>
    <catValu>222</catValu>
    <labl>222</labl>
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  <catgry>
    <catValu>223</catValu>
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  <catgry>
    <catValu>224</catValu>
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  <catgry>
    <catValu>225</catValu>
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  <catgry>
    <catValu>226</catValu>
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  <catgry>
    <catValu>227</catValu>
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  <catgry>
    <catValu>228</catValu>
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  <catgry>
    <catValu>229</catValu>
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  <catgry>
    <catValu>230</catValu>
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  <catgry>
    <catValu>231</catValu>
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  <catgry>
    <catValu>232</catValu>
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  <catgry>
    <catValu>233</catValu>
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  <catgry>
    <catValu>234</catValu>
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  <catgry>
    <catValu>235</catValu>
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  <catgry>
    <catValu>236</catValu>
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  <catgry>
    <catValu>237</catValu>
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  <catgry>
    <catValu>238</catValu>
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  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>239</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>240</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>241</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>242</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>243</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>244</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>245</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>246</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>247</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>248</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>249</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>250</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>251</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>252</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>253</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>254</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>255</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>256</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>257</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>258</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>259</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>260</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>261</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>262</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>263</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>264</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>265</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>266</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>267</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>268</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>269</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>270</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>271</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>272</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>273</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>274</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>275</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>276</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>277</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>278</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>279</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>280</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>281</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>282</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>283</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>284</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>285</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>286</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>287</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>288</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>289</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>290</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>291</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>292</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>293</labl>
  </catgry>
  <catgry>
    <catValu>294</catValu>
    <labl>294</labl>
  </catgry>
  <catgry>
    <catValu>295</catValu>
    <labl>295</labl>
  </catgry>
  <catgry>
    <catValu>296</catValu>
    <labl>296</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>297</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>298</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>299</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>300</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>301</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>302</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>303</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>304</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>305</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>306</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>307</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>308</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>309</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>310</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>311</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>312</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>313</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>314</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>315</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>316</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>317</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>318</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>319</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>320</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>321</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>322</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>323</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>324</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>325</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>326</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>327</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>328</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>329</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>330</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>331</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>332</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>333</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>334</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>335</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>336</labl>
  </catgry>
  <catgry>
    <catValu>337</catValu>
    <labl>337</labl>
  </catgry>
  <catgry>
    <catValu>338</catValu>
    <labl>338</labl>
  </catgry>
  <catgry>
    <catValu>339</catValu>
    <labl>339</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>340</labl>
  </catgry>
  <catgry>
    <catValu>341</catValu>
    <labl>341</labl>
  </catgry>
  <catgry>
    <catValu>342</catValu>
    <labl>342</labl>
  </catgry>
  <catgry>
    <catValu>343</catValu>
    <labl>343</labl>
  </catgry>
  <catgry>
    <catValu>344</catValu>
    <labl>344</labl>
  </catgry>
  <catgry>
    <catValu>345</catValu>
    <labl>345</labl>
  </catgry>
  <catgry>
    <catValu>346</catValu>
    <labl>346</labl>
  </catgry>
  <catgry>
    <catValu>347</catValu>
    <labl>347</labl>
  </catgry>
  <catgry>
    <catValu>348</catValu>
    <labl>348</labl>
  </catgry>
  <catgry>
    <catValu>349</catValu>
    <labl>349</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>350</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>351</labl>
  </catgry>
  <catgry>
    <catValu>352</catValu>
    <labl>352</labl>
  </catgry>
  <catgry>
    <catValu>353</catValu>
    <labl>353</labl>
  </catgry>
  <catgry>
    <catValu>354</catValu>
    <labl>354</labl>
  </catgry>
  <catgry>
    <catValu>355</catValu>
    <labl>355</labl>
  </catgry>
  <catgry>
    <catValu>356</catValu>
    <labl>356</labl>
  </catgry>
  <catgry>
    <catValu>357</catValu>
    <labl>357</labl>
  </catgry>
  <catgry>
    <catValu>358</catValu>
    <labl>358</labl>
  </catgry>
  <catgry>
    <catValu>359</catValu>
    <labl>359</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>360+</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>One day or longer</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>On premises</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TIMETOWTRIND (V115) reports the amount of time, in minutes, to get to the household's major source of water, top-coded at 360+ minutes. This information is taken from the individual woman's record.

The complementary variable TIMETOWTRHH (HV204) reports the same information, taken from the household record.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TIMETOWTRHH" name="C_TIMETOWTRHH" files="C" intrvl="discrete">
  <labl>Time to reach water source and return, in minutes (from HH record)</labl>
  <imputation>Time to reach water source and return, in minutes (from HH record)</imputation>
  <security>Time to reach water source and return, in minutes (from HH record)</security>
  <embargo>Time to reach water source and return, in minutes (from HH record)</embargo>
  <respUnit>Time to reach water source and return, in minutes (from HH record)</respUnit>
  <qstn>
    <qstnLit>19) How much time does it take to go there, get water, and come back?

MINUTES: ___
ON LOCATION 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
  </catgry>
  <catgry>
    <catValu>001</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>002</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>003</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>004</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>005</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>006</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>007</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>008</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>009</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>010</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>011</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>012</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>013</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>014</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>015</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>016</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>017</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>018</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>019</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>020</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>021</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>022</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>023</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>024</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>025</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>026</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>027</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>028</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>029</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>030</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>031</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>032</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>033</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>034</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>035</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>036</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>037</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>038</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>039</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>040</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>041</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>042</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>043</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>044</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>045</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>046</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>047</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>048</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>049</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>050</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>051</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>052</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>053</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>054</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>055</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>056</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>057</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>058</catValu>
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  <catgry>
    <catValu>059</catValu>
    <labl>59</labl>
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  <catgry>
    <catValu>060</catValu>
    <labl>60</labl>
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  <catgry>
    <catValu>061</catValu>
    <labl>61</labl>
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  <catgry>
    <catValu>062</catValu>
    <labl>62</labl>
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  <catgry>
    <catValu>063</catValu>
    <labl>63</labl>
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  <catgry>
    <catValu>064</catValu>
    <labl>64</labl>
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  <catgry>
    <catValu>065</catValu>
    <labl>65</labl>
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  <catgry>
    <catValu>066</catValu>
    <labl>66</labl>
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  <catgry>
    <catValu>067</catValu>
    <labl>67</labl>
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  <catgry>
    <catValu>068</catValu>
    <labl>68</labl>
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  <catgry>
    <catValu>069</catValu>
    <labl>69</labl>
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  <catgry>
    <catValu>070</catValu>
    <labl>70</labl>
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  <catgry>
    <catValu>071</catValu>
    <labl>71</labl>
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  <catgry>
    <catValu>072</catValu>
    <labl>72</labl>
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  <catgry>
    <catValu>073</catValu>
    <labl>73</labl>
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  <catgry>
    <catValu>074</catValu>
    <labl>74</labl>
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  <catgry>
    <catValu>075</catValu>
    <labl>75</labl>
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  <catgry>
    <catValu>076</catValu>
    <labl>76</labl>
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  <catgry>
    <catValu>077</catValu>
    <labl>77</labl>
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  <catgry>
    <catValu>078</catValu>
    <labl>78</labl>
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  <catgry>
    <catValu>079</catValu>
    <labl>79</labl>
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  <catgry>
    <catValu>080</catValu>
    <labl>80</labl>
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  <catgry>
    <catValu>081</catValu>
    <labl>81</labl>
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  <catgry>
    <catValu>082</catValu>
    <labl>82</labl>
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  <catgry>
    <catValu>083</catValu>
    <labl>83</labl>
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  <catgry>
    <catValu>084</catValu>
    <labl>84</labl>
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  <catgry>
    <catValu>085</catValu>
    <labl>85</labl>
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  <catgry>
    <catValu>086</catValu>
    <labl>86</labl>
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  <catgry>
    <catValu>087</catValu>
    <labl>87</labl>
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  <catgry>
    <catValu>088</catValu>
    <labl>88</labl>
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  <catgry>
    <catValu>089</catValu>
    <labl>89</labl>
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  <catgry>
    <catValu>090</catValu>
    <labl>90</labl>
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  <catgry>
    <catValu>091</catValu>
    <labl>91</labl>
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  <catgry>
    <catValu>092</catValu>
    <labl>92</labl>
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  <catgry>
    <catValu>093</catValu>
    <labl>93</labl>
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  <catgry>
    <catValu>094</catValu>
    <labl>94</labl>
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  <catgry>
    <catValu>095</catValu>
    <labl>95</labl>
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  <catgry>
    <catValu>096</catValu>
    <labl>96</labl>
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  <catgry>
    <catValu>097</catValu>
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  <catgry>
    <catValu>098</catValu>
    <labl>98</labl>
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  <catgry>
    <catValu>099</catValu>
    <labl>99</labl>
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  <catgry>
    <catValu>100</catValu>
    <labl>100</labl>
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  <catgry>
    <catValu>101</catValu>
    <labl>101</labl>
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  <catgry>
    <catValu>102</catValu>
    <labl>102</labl>
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  <catgry>
    <catValu>103</catValu>
    <labl>103</labl>
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  <catgry>
    <catValu>104</catValu>
    <labl>104</labl>
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  <catgry>
    <catValu>105</catValu>
    <labl>105</labl>
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  <catgry>
    <catValu>106</catValu>
    <labl>106</labl>
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  <catgry>
    <catValu>107</catValu>
    <labl>107</labl>
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  <catgry>
    <catValu>108</catValu>
    <labl>108</labl>
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  <catgry>
    <catValu>109</catValu>
    <labl>109</labl>
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  <catgry>
    <catValu>110</catValu>
    <labl>110</labl>
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  <catgry>
    <catValu>111</catValu>
    <labl>111</labl>
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  <catgry>
    <catValu>112</catValu>
    <labl>112</labl>
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  <catgry>
    <catValu>113</catValu>
    <labl>113</labl>
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  <catgry>
    <catValu>114</catValu>
    <labl>114</labl>
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  <catgry>
    <catValu>115</catValu>
    <labl>115</labl>
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  <catgry>
    <catValu>116</catValu>
    <labl>116</labl>
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  <catgry>
    <catValu>117</catValu>
    <labl>117</labl>
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  <catgry>
    <catValu>118</catValu>
    <labl>118</labl>
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  <catgry>
    <catValu>119</catValu>
    <labl>119</labl>
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  <catgry>
    <catValu>120</catValu>
    <labl>120</labl>
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  <catgry>
    <catValu>121</catValu>
    <labl>121</labl>
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  <catgry>
    <catValu>122</catValu>
    <labl>122</labl>
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  <catgry>
    <catValu>123</catValu>
    <labl>123</labl>
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  <catgry>
    <catValu>124</catValu>
    <labl>124</labl>
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  <catgry>
    <catValu>125</catValu>
    <labl>125</labl>
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  <catgry>
    <catValu>126</catValu>
    <labl>126</labl>
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  <catgry>
    <catValu>127</catValu>
    <labl>127</labl>
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  <catgry>
    <catValu>128</catValu>
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  <catgry>
    <catValu>129</catValu>
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  <catgry>
    <catValu>130</catValu>
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  <catgry>
    <catValu>131</catValu>
    <labl>131</labl>
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  <catgry>
    <catValu>132</catValu>
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  <catgry>
    <catValu>133</catValu>
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  <catgry>
    <catValu>134</catValu>
    <labl>134</labl>
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  <catgry>
    <catValu>135</catValu>
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  <catgry>
    <catValu>136</catValu>
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  <catgry>
    <catValu>137</catValu>
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  <catgry>
    <catValu>138</catValu>
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  <catgry>
    <catValu>139</catValu>
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  <catgry>
    <catValu>140</catValu>
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  <catgry>
    <catValu>141</catValu>
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    <catValu>142</catValu>
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    <catValu>143</catValu>
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    <catValu>144</catValu>
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  <catgry>
    <catValu>145</catValu>
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  <catgry>
    <catValu>146</catValu>
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    <catValu>147</catValu>
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    <catValu>148</catValu>
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  <catgry>
    <catValu>149</catValu>
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  <catgry>
    <catValu>150</catValu>
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    <catValu>151</catValu>
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  <catgry>
    <catValu>152</catValu>
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  <catgry>
    <catValu>153</catValu>
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  <catgry>
    <catValu>154</catValu>
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  <catgry>
    <catValu>155</catValu>
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  <catgry>
    <catValu>156</catValu>
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    <catValu>157</catValu>
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  <catgry>
    <catValu>158</catValu>
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  <catgry>
    <catValu>159</catValu>
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    <catValu>160</catValu>
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  <catgry>
    <catValu>161</catValu>
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    <catValu>162</catValu>
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    <catValu>163</catValu>
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  <catgry>
    <catValu>164</catValu>
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  <catgry>
    <catValu>165</catValu>
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  <catgry>
    <catValu>166</catValu>
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    <catValu>167</catValu>
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  <catgry>
    <catValu>168</catValu>
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  <catgry>
    <catValu>169</catValu>
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    <catValu>170</catValu>
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    <catValu>171</catValu>
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    <catValu>172</catValu>
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    <catValu>173</catValu>
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    <catValu>174</catValu>
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    <catValu>175</catValu>
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    <catValu>176</catValu>
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    <catValu>177</catValu>
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  <catgry>
    <catValu>178</catValu>
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  <catgry>
    <catValu>179</catValu>
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  <catgry>
    <catValu>180</catValu>
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  <catgry>
    <catValu>181</catValu>
    <labl>181</labl>
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  <catgry>
    <catValu>182</catValu>
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    <catValu>183</catValu>
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    <catValu>184</catValu>
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    <catValu>185</catValu>
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  <catgry>
    <catValu>186</catValu>
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    <catValu>187</catValu>
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  <catgry>
    <catValu>188</catValu>
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  <catgry>
    <catValu>189</catValu>
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    <catValu>190</catValu>
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  <catgry>
    <catValu>191</catValu>
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    <catValu>192</catValu>
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    <catValu>193</catValu>
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  <catgry>
    <catValu>194</catValu>
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    <catValu>195</catValu>
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    <catValu>196</catValu>
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  <catgry>
    <catValu>197</catValu>
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    <catValu>198</catValu>
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    <catValu>199</catValu>
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  <catgry>
    <catValu>200</catValu>
    <labl>200</labl>
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  <catgry>
    <catValu>201</catValu>
    <labl>201</labl>
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    <catValu>202</catValu>
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  <catgry>
    <catValu>203</catValu>
    <labl>203</labl>
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  <catgry>
    <catValu>204</catValu>
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  <catgry>
    <catValu>205</catValu>
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  <catgry>
    <catValu>206</catValu>
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    <catValu>207</catValu>
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  <catgry>
    <catValu>208</catValu>
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  <catgry>
    <catValu>209</catValu>
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  <catgry>
    <catValu>210</catValu>
    <labl>210</labl>
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  <catgry>
    <catValu>211</catValu>
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  <catgry>
    <catValu>212</catValu>
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    <catValu>213</catValu>
    <labl>213</labl>
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  <catgry>
    <catValu>214</catValu>
    <labl>214</labl>
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  <catgry>
    <catValu>215</catValu>
    <labl>215</labl>
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  <catgry>
    <catValu>216</catValu>
    <labl>216</labl>
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  <catgry>
    <catValu>217</catValu>
    <labl>217</labl>
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  <catgry>
    <catValu>218</catValu>
    <labl>218</labl>
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  <catgry>
    <catValu>219</catValu>
    <labl>219</labl>
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  <catgry>
    <catValu>220</catValu>
    <labl>220</labl>
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  <catgry>
    <catValu>221</catValu>
    <labl>221</labl>
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  <catgry>
    <catValu>222</catValu>
    <labl>222</labl>
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  <catgry>
    <catValu>223</catValu>
    <labl>223</labl>
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  <catgry>
    <catValu>224</catValu>
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  <catgry>
    <catValu>225</catValu>
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  <catgry>
    <catValu>226</catValu>
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  <catgry>
    <catValu>227</catValu>
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  <catgry>
    <catValu>228</catValu>
    <labl>228</labl>
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  <catgry>
    <catValu>229</catValu>
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  <catgry>
    <catValu>230</catValu>
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  <catgry>
    <catValu>231</catValu>
    <labl>231</labl>
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  <catgry>
    <catValu>232</catValu>
    <labl>232</labl>
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  <catgry>
    <catValu>233</catValu>
    <labl>233</labl>
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  <catgry>
    <catValu>234</catValu>
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  <catgry>
    <catValu>235</catValu>
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  <catgry>
    <catValu>236</catValu>
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  <catgry>
    <catValu>237</catValu>
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  <catgry>
    <catValu>238</catValu>
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  <catgry>
    <catValu>239</catValu>
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    <catValu>240</catValu>
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  <catgry>
    <catValu>241</catValu>
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  <catgry>
    <catValu>242</catValu>
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    <catValu>243</catValu>
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  <catgry>
    <catValu>244</catValu>
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  <catgry>
    <catValu>245</catValu>
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  <catgry>
    <catValu>246</catValu>
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  <catgry>
    <catValu>247</catValu>
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  <catgry>
    <catValu>248</catValu>
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  <catgry>
    <catValu>249</catValu>
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  <catgry>
    <catValu>250</catValu>
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  <catgry>
    <catValu>251</catValu>
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  <catgry>
    <catValu>252</catValu>
    <labl>252</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>253</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>254</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>255</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>256</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>257</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>258</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>259</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>260</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>261</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>262</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>263</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>264</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>265</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>266</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>267</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>268</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>269</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>270</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>271</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>272</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>273</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>274</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>275</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>276</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>277</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>278</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>279</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>280</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>281</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>282</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>283</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>284</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>285</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>286</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>287</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>288</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>289</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>290</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>291</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>292</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>293</labl>
  </catgry>
  <catgry>
    <catValu>294</catValu>
    <labl>294</labl>
  </catgry>
  <catgry>
    <catValu>295</catValu>
    <labl>295</labl>
  </catgry>
  <catgry>
    <catValu>296</catValu>
    <labl>296</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>297</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>298</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>299</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>300</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>301</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>302</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>303</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>304</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>305</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>306</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>307</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>308</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>309</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>310</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>311</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>312</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>313</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>314</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>315</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>316</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>317</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>318</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>319</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>320</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>321</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>322</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>323</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>324</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>325</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>326</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>327</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>328</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>329</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>330</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>331</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>332</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>333</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>334</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>335</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>336</labl>
  </catgry>
  <catgry>
    <catValu>337</catValu>
    <labl>337</labl>
  </catgry>
  <catgry>
    <catValu>338</catValu>
    <labl>338</labl>
  </catgry>
  <catgry>
    <catValu>339</catValu>
    <labl>339</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>340</labl>
  </catgry>
  <catgry>
    <catValu>341</catValu>
    <labl>341</labl>
  </catgry>
  <catgry>
    <catValu>342</catValu>
    <labl>342</labl>
  </catgry>
  <catgry>
    <catValu>343</catValu>
    <labl>343</labl>
  </catgry>
  <catgry>
    <catValu>344</catValu>
    <labl>344</labl>
  </catgry>
  <catgry>
    <catValu>345</catValu>
    <labl>345</labl>
  </catgry>
  <catgry>
    <catValu>346</catValu>
    <labl>346</labl>
  </catgry>
  <catgry>
    <catValu>347</catValu>
    <labl>347</labl>
  </catgry>
  <catgry>
    <catValu>348</catValu>
    <labl>348</labl>
  </catgry>
  <catgry>
    <catValu>349</catValu>
    <labl>349</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>350</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>351</labl>
  </catgry>
  <catgry>
    <catValu>352</catValu>
    <labl>352</labl>
  </catgry>
  <catgry>
    <catValu>353</catValu>
    <labl>353</labl>
  </catgry>
  <catgry>
    <catValu>354</catValu>
    <labl>354</labl>
  </catgry>
  <catgry>
    <catValu>355</catValu>
    <labl>355</labl>
  </catgry>
  <catgry>
    <catValu>356</catValu>
    <labl>356</labl>
  </catgry>
  <catgry>
    <catValu>357</catValu>
    <labl>357</labl>
  </catgry>
  <catgry>
    <catValu>358</catValu>
    <labl>358</labl>
  </catgry>
  <catgry>
    <catValu>359</catValu>
    <labl>359</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>360+</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>On premises</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TIMETOWTRHH (HV204) reports the time in minutes it takes members of the household to get to their main source of water and return to their dwelling.  In IPUMS-DHS, this variable is top-coded at 360 minutes or more (6 hours or longer).

The information in TIMETOWTRHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BIKE" name="C_BIKE" files="C" intrvl="discrete">
  <labl>HH has bicycle</labl>
  <imputation>HH has bicycle</imputation>
  <security>HH has bicycle</security>
  <embargo>HH has bicycle</embargo>
  <respUnit>HH has bicycle</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>BIKE (V123) indicates whether any member of the household has a bicycle.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BIKEHH" name="C_BIKEHH" files="C" intrvl="discrete">
  <labl>HH has bicycle (from HH record)</labl>
  <imputation>HH has bicycle (from HH record)</imputation>
  <security>HH has bicycle (from HH record)</security>
  <embargo>HH has bicycle (from HH record)</embargo>
  <respUnit>HH has bicycle (from HH record)</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIKEHH (HV210) indicates whether any member of the household has a bicycle. 

The information in BIKEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_CAR" name="C_CAR" files="C" intrvl="discrete">
  <labl>HH has car/truck</labl>
  <imputation>HH has car/truck</imputation>
  <security>HH has car/truck</security>
  <embargo>HH has car/truck</embargo>
  <respUnit>HH has car/truck</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <txt>CAR (V125) indicates whether any member of the household owns a car or truck (or other motor vehicle). The specific type of motor vehicle mentioned varies across samples. See Comparability.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_CARHH" name="C_CARHH" files="C" intrvl="discrete">
  <labl>HH has car/truck (from HH record)</labl>
  <imputation>HH has car/truck (from HH record)</imputation>
  <security>HH has car/truck (from HH record)</security>
  <embargo>HH has car/truck (from HH record)</embargo>
  <respUnit>HH has car/truck (from HH record)</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>CARHH (HV212) indicates whether any member of the household owns a car or truck (or other motor vehicle). The specific type of motor vehicle mentioned varies across samples. See Comparability. 

The information in CARHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_MOTORCYCL" name="C_MOTORCYCL" files="C" intrvl="discrete">
  <labl>HH has motorcycle/scooter</labl>
  <imputation>HH has motorcycle/scooter</imputation>
  <security>HH has motorcycle/scooter</security>
  <embargo>HH has motorcycle/scooter</embargo>
  <respUnit>HH has motorcycle/scooter</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <txt>MOTORCYCL (V124) indicates whether any member of the household owns a motorcycle or scooter.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_MOTORCYCLHH" name="C_MOTORCYCLHH" files="C" intrvl="discrete">
  <labl>HH has motorcycle/scooter (from HH record)</labl>
  <imputation>HH has motorcycle/scooter (from HH record)</imputation>
  <security>HH has motorcycle/scooter (from HH record)</security>
  <embargo>HH has motorcycle/scooter (from HH record)</embargo>
  <respUnit>HH has motorcycle/scooter (from HH record)</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>MOTORCYCLHH (HV211) indicates whether any member of the household owns a motorcycle or scooter.

The information in MOTORCYCLHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FRIDGE" name="C_FRIDGE" files="C" intrvl="discrete">
  <labl>HH has refrigerator</labl>
  <imputation>HH has refrigerator</imputation>
  <security>HH has refrigerator</security>
  <embargo>HH has refrigerator</embargo>
  <respUnit>HH has refrigerator</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <txt>FRIDGE (V122) indicates whether the household has a refrigerator. Some samples specified that the refrigerator must be working or must be owned by the household. See comparability.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FRIDGEHH" name="C_FRIDGEHH" files="C" intrvl="discrete">
  <labl>HH has refrigerator (from HH record)</labl>
  <imputation>HH has refrigerator (from HH record)</imputation>
  <security>HH has refrigerator (from HH record)</security>
  <embargo>HH has refrigerator (from HH record)</embargo>
  <respUnit>HH has refrigerator (from HH record)</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FRIDGEHH (HV209) indicates whether the household has a refrigerator. Some samples specified that the refrigerator must be working or owned by the household. See Comparability.

The information in FRIDGEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_RADIO" name="C_RADIO" files="C" intrvl="discrete">
  <labl>HH has radio</labl>
  <imputation>HH has radio</imputation>
  <security>HH has radio</security>
  <embargo>HH has radio</embargo>
  <respUnit>HH has radio</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <txt>RADIO (V120) indicates whether the household has a radio. Some samples specified that the radio must be working or fit other specifications. See Comparability.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_RADIOHH" name="C_RADIOHH" files="C" intrvl="discrete">
  <labl>HH has radio (from HH record)</labl>
  <imputation>HH has radio (from HH record)</imputation>
  <security>HH has radio (from HH record)</security>
  <embargo>HH has radio (from HH record)</embargo>
  <respUnit>HH has radio (from HH record)</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>RADIOHH (HV207) indicates whether any member of the household owns a radio. Some samples specified that the radio must be working or fit other specifications. See Comparability.

The information in RADIOHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TELEVISION" name="C_TELEVISION" files="C" intrvl="discrete">
  <labl>HH has television</labl>
  <imputation>HH has television</imputation>
  <security>HH has television</security>
  <embargo>HH has television</embargo>
  <respUnit>HH has television</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <txt>TELEVISION (V121) indicates whether the household has a television. Some samples specified that the TV must be in working order. See Comparability.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TVHH" name="C_TVHH" files="C" intrvl="discrete">
  <labl>HH has television (from HH record)</labl>
  <imputation>HH has television (from HH record)</imputation>
  <security>HH has television (from HH record)</security>
  <embargo>HH has television (from HH record)</embargo>
  <respUnit>HH has television (from HH record)</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TVHH (HV208) indicates whether any member of the household has a television. Some samples specified that the TV must be in working order. See Comparability.

The information in TVHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DRAWNCART" name="C_DRAWNCART" files="C" intrvl="discrete">
  <labl>HH has animal-drawn cart</labl>
  <imputation>HH has animal-drawn cart</imputation>
  <security>HH has animal-drawn cart</security>
  <embargo>HH has animal-drawn cart</embargo>
  <respUnit>HH has animal-drawn cart</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>DRAWNCART indicates whether a household member owned an animal-drawn cart. Question wording varied across samples; see Comparability.

The information in DRAWNCART is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Agricultural possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_CURRWORK" name="C_CURRWORK" files="C" intrvl="discrete">
  <labl>Currently working</labl>
  <imputation>Currently working</imputation>
  <security>Currently working</security>
  <embargo>Currently working</embargo>
  <respUnit>Currently working</respUnit>
  <qstn>
    <qstnLit>708) Aside from your own housework, are you currently working?

YES 1 (GO TO 710)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneous</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, prompted</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>CURRWORK (V714) indicates whether the woman is currently working at a job or business.  To distinguish employment from household labor, many surveys included a preface such as the following: "As you know, some women take up jobs for which they are paid in cash or in kind.  Others sell things, have a small business or work on the family farm or in the family business." Women who have worked outside of their own housework in the last 12 months and been paid in cash, cash and in-kind, or only in-kind payments are included as working, although the survey questions vary in who receives an affirmative response. See Comparability.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_WKCURRJOB" name="C_WKCURRJOB" files="C" intrvl="discrete">
  <labl>Woman's occupation</labl>
  <imputation>Woman's occupation</imputation>
  <security>Woman's occupation</security>
  <embargo>Woman's occupation</embargo>
  <respUnit>Woman's occupation</respUnit>
  <qstn>
    <qstnLit>710) What is your main occupation, that is, what kind of work do you do?

____</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Not currently working</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Professional, technical, or managerial worker</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Clerical or Sales</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Clerical worker</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Sales worker</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Agricultural</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Self-employed agricultural worker</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Agricultural employee</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Household, domestic, and services</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Household and domestic worker</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Services worker</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Skilled and unskilled manual</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Skilled manual worker</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Unskilled manual worker</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Armed forces</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>WKCURRJOB (V717) reports the occupation of the respondent in somewhat standardized categories. The categories included, and the degree of detail within broad categories (e.g., self-employed versus employee in agriculture, or simply agriculture), vary across samples. IPUMS-DHS employs composite coding to maximize comparability across samples (using the first digit of the codes to indicate broad job categories) without loss of detailed information (preserved in the second digit).

The category "agriculture" includes fishermen, foresters, breeders, and hunters as well as farmers.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_WKCURRTYPE" name="C_WKCURRTYPE" files="C" intrvl="discrete">
  <labl>Respondent's current type of employment.</labl>
  <imputation>Respondent's current type of employment.</imputation>
  <security>Respondent's current type of employment.</security>
  <embargo>Respondent's current type of employment.</embargo>
  <respUnit>Respondent's current type of employment.</respUnit>
  <qstn>
    <qstnLit>711) In your work, do you work for a family member, for someone else, or are you self-employed?

FOR FAMILY MEMBER 1
FOR SOMEONE ELSE 2
SELF-EMPLOYED 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <labl>Did not work</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Paid employee, away</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Paid employee, home</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Self-employed, away</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Self-employed, home</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Unpaid worker, away</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Unpaid worker, home</labl>
  </catgry>
  <txt>WKCURRTYPE (V718) indicates the woman's current type of employment, along the two dimensions of class of worker (paid, self-employed, unpaid) and location (at home or away).</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_WHOWORKFOR" name="C_WHOWORKFOR" files="C" intrvl="discrete">
  <labl>Whom the respondent works for</labl>
  <imputation>Whom the respondent works for</imputation>
  <security>Whom the respondent works for</security>
  <embargo>Whom the respondent works for</embargo>
  <respUnit>Whom the respondent works for</respUnit>
  <qstn>
    <qstnLit>711) In your work, do you work for a family member, for someone else, or are you self-employed?

FOR FAMILY MEMBER 1
FOR SOMEONE ELSE 2
SELF-EMPLOYED 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>24</catValu>
    <labl>For someone else</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>For someone else (unpaid)</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Works for self</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Self-employed</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Employer</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Works for someone else</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>For family member (unpaid)</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>For family member</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Works for self and someone else</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Other</labl>
  </catgry>
  <txt>WHOWORKFOR (V719) indicates whether the respondent works for a family member, for someone else, or is self-employed.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_WKEARNCASH" name="C_WKEARNCASH" files="C" intrvl="discrete">
  <labl>Woman earns cash for work</labl>
  <imputation>Woman earns cash for work</imputation>
  <security>Woman earns cash for work</security>
  <embargo>Woman earns cash for work</embargo>
  <respUnit>Woman earns cash for work</respUnit>
  <qstn>
    <qstnLit>712) Do you earn money for this work?
PROBE: Do you make money for working?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>WKEARNCASH (V720) indicates whether the woman earns cash for her work.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_WKHOMEAWAY" name="C_WKHOMEAWAY" files="C" intrvl="discrete">
  <labl>Woman works at home or away from home</labl>
  <imputation>Woman works at home or away from home</imputation>
  <security>Woman works at home or away from home</security>
  <embargo>Woman works at home or away from home</embargo>
  <respUnit>Woman works at home or away from home</respUnit>
  <qstn>
    <qstnLit>713) Do you do this work at home or away from home?

HOME 1
AWAY 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>At home</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Away</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>WKHOMEAWAY (V721) indicates whether the respondent currently works at home or away from home.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_WKKIDWITH" name="C_WKKIDWITH" files="C" intrvl="discrete">
  <labl>Child with woman while working</labl>
  <imputation>Child with woman while working</imputation>
  <security>Child with woman while working</security>
  <embargo>Child with woman while working</embargo>
  <respUnit>Child with woman while working</respUnit>
  <qstn>
    <qstnLit>715) While you are working, do you usually have (NAME OF YOUNGEST CHILD AT HOME) with you, sometimes with you, or never with you?

USUALLY 1 (GO TO 801)
SOMETIMES 2
NEVER 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Child usually with respondent</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Child sometimes with respondent</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Child rarely with respondent</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Child never with respondent</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are currently working and who have a young child living at home, WKKIDWITH (V722) reports how often the woman has her child with her while she is working.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_WKKIDCARE" name="C_WKKIDCARE" files="C" intrvl="discrete">
  <labl>Who cares for youngest child while woman works</labl>
  <imputation>Who cares for youngest child while woman works</imputation>
  <security>Who cares for youngest child while woman works</security>
  <embargo>Who cares for youngest child while woman works</embargo>
  <respUnit>Who cares for youngest child while woman works</respUnit>
  <qstn>
    <qstnLit>716) Who usually takes care of (NAME OF YOUNGEST CHILD AT HOME) while you are working?

HUSBAND/PARTNER 01
OLDER CHILD(REN) 02
OTHER RELATIVES 03
NEIGHBORS 04
FRIENDS 05
SERVANT/HIRED HELP 06
CHILD IS IN SCHOOL 07
INSTITUTIONAL CHILDCARE 08
OTHER (SPECIFY): ___ 09</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Respondent</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Husband /partner</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Other child</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Other relatives</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Neighbors</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Friends</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Servants /hired help</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Child is in school</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Institutional care</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Child's grandparents</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Other female child</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Other male child</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not worked since birth</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>For women who are currently working and who have a young child living at home, WKKIDCARE (V723) reports who usually cares for the youngest child while the woman is working.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HUSJOB" name="C_HUSJOB" files="C" intrvl="discrete">
  <labl>Partner's occupation</labl>
  <imputation>Partner's occupation</imputation>
  <security>Partner's occupation</security>
  <embargo>Partner's occupation</embargo>
  <respUnit>Partner's occupation</respUnit>
  <qstn>
    <qstnLit>705) What kind of work does (did) your (last) husband mainly do?

____</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Did not work</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Not working, student or applicant</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Unemployed</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Student</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Prof., Tech., Manag.</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Clerical or Sales</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Clerical</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Sales</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Agricultural, breeding, fishing, forest</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Agriculture, self-employed</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Agriculture, employee</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Household, domestic, and services</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Household and domestic</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Services</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Skilled and unskilled manual</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Skilled manual</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>Unskilled manual</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>Army</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>HUSJOB (V705) reports the occupation of the woman's husband/partner in somewhat standardized categories.  The categories included, and the degree of detail within broad categories (e.g., self-employed versus employee in agriculture, or simply agriculture), vary across samples.  IPUMS-DHS employs composite coding to maximize comparability across samples (using the first digit of the codes to indicate broader job categories) without loss of detailed information (preserved in the second digit).  

The category "agriculture" includes fishermen, foresters, breeders, and hunters as well as farmers.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_WKHUSLAND" name="C_WKHUSLAND" files="C" intrvl="discrete">
  <labl>Type of land where partner works</labl>
  <imputation>Type of land where partner works</imputation>
  <security>Type of land where partner works</security>
  <embargo>Type of land where partner works</embargo>
  <respUnit>Type of land where partner works</respUnit>
  <qstn>
    <qstnLit>707) (Does/did) your husband/partner work mainly on his own land or family land or someone else's land?

HIS/FAMILY LAND 1
RENTED LAND 2
SOMEONE ELSE'S LAND 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Own/family land</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Own land</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Family land</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Someone else's land</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Rented land</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Other responses</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Public land/govt allocation</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Communal land/shifting cultivation</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Sharecropper</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>Other, unspecified</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are currently married and whose husband or partner works in agriculture, WKHUSLAND (V707) reports the type of land where he works.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_LIT1" name="C_LIT1" files="C" intrvl="discrete">
  <labl>Reported literacy</labl>
  <imputation>Reported literacy</imputation>
  <security>Reported literacy</security>
  <embargo>Reported literacy</embargo>
  <respUnit>Reported literacy</respUnit>
  <qstn>
    <qstnLit>111) Do you know how to read and understand a letter or a newspaper easily, with difficulty, or not at all?

EASILY 1
WITH DIFFICULTY 2
NOT AT ALL 3 (GO TO 113)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Cannot read</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Reads</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Reads with difficulty</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Reads easily</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>LIT1 (V108) indicates whether the woman could read. This information was obtained in response to the question, "Can you read a letter or newspaper easily, with difficulty, or not at all?" In many countries, persons with secondary or higher levels of schooling were presumed to "read easily," but coding criteria varied across countries. Simply asking women whether and how easily they could read was the approach used to determine literacy in DHS Phases 1-3.

Beginning in Phase 4, a different approach was employed to determine literacy. See LIT2 (V155) for details about that second approach, which involved having the respondent read a sentence aloud. See LITBRIG for information about using the data on literacy across all phases of the DHS.</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_LITBRIG" name="C_LITBRIG" files="C" intrvl="discrete">
  <labl>Literacy bridging variable</labl>
  <imputation>Literacy bridging variable</imputation>
  <security>Literacy bridging variable</security>
  <embargo>Literacy bridging variable</embargo>
  <respUnit>Literacy bridging variable</respUnit>
  <qstn>
    <qstnLit>111) Do you know how to read and understand a letter or a newspaper easily, with difficulty, or not at all?

EASILY 1
WITH DIFFICULTY 2
NOT AT ALL 3 (GO TO 113)</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, reads</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Reads easily/whole sentence</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Reads with difficulty/part of sentence</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>No, cannot read</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Not ascertained (blind or diff. language)</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>No card with required language</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Blind or visually impaired</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>LITBRIG serves as a bridging variable between two approaches to collecting information on literacy.  Initially, respondents were asked, "Can you read a letter or newspaper easily, with difficulty, or not at all?"  In many countries, persons with secondary or higher levels of schooling were presumed to "read easily," but coding criteria varied across countries. 

Beginning with Phase 4 of the DHS, persons with less than secondary school education were asked to demonstrate their literacy level by reading aloud a sentence on a card and were classified as "cannot read at all," "able to read only parts of sentence," and "able to read whole sentence."  As before, those with secondary or higher schooling were presumed to have attained the highest literacy level.       

LITBRIG combines information from the first approach of asking about literacy (in LIT1 [V108]) and the second approach of testing literacy based on reading a sentence aloud (in LIT2 [V155]).  

See Comparability for more information.</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_EDUCLVL" name="C_EDUCLVL" files="C" intrvl="discrete">
  <labl>Highest educational level</labl>
  <imputation>Highest educational level</imputation>
  <security>Highest educational level</security>
  <embargo>Highest educational level</embargo>
  <respUnit>Highest educational level</respUnit>
  <qstn>
    <qstnLit>108) What is the highest level of education that you have attained: primary, first cycle of secondary, second cycle of secondary, or higher?

PRIMARY 1
FIRST CYCLE OF SECONDARY 2
SECOND CYCLE OF SECONDARY 3
HIGHER 4</qstnLit>
  </qstn>
  <catgry>
    <labl>No education</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Primary</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Secondary</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Higher</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>For women who ever went to school, EDUCLVL (V106) reports the highest level of school they attended. Countries vary in the gradations of their school systems, but EDUCLVL is a standardized variable reporting level of education in four broad categories: No education, Primary, Secondary, and Higher. 

The DHS recode manuals state, "In some countries the educational system does not fit naturally within this scheme, and a different categorization was used for the Final Report. In this case, this variable is constructed as accurately as possible from the country's own scheme, and the variable used for the Final Report is included as a country-specific variable."</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_YRSCHL" name="C_YRSCHL" files="C" intrvl="discrete">
  <labl>Highest year of education in level</labl>
  <imputation>Highest year of education in level</imputation>
  <security>Highest year of education in level</security>
  <embargo>Highest year of education in level</embargo>
  <respUnit>Highest year of education in level</respUnit>
  <qstn>
    <qstnLit>109) What was the last grade you completed at this level?

GRADES FOR PRIMARY

INTRODUCTORY COURSE 1
PREPARATORY COURSE 2
ELEMENTARY COURSE 1 3
ELEMENTARY COURSE 2 4
MID-LEVEL COURSE 1 5
MID-LEVEL COURSE 2 6

GRADES FOR SECONDARY, FIRST CYCLE

6TH 1
5TH 2
4TH 3
3RD 4
DON'T KNOW 8

GRADES FOR SECONDARY, SECOND

2ND 1
1ST 2
FINAL YEAR 3
DON'T KNOW 8

GRADES FOR HIGHER LEVEL

FIRST YEAR 1
SECOND YEAR 2
THIRD YEAR 3
FOURTH YEAR AND HIGHER 4
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who ever attended school, YRSCHL (V107) reports the number of years of education completed at the highest level of schooling achieved (primary, secondary, or higher), as reported in EDUCLVL (V106). See Comparability.

For the woman's total years of education, see EDYRTOTAL (V133).</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_EDYRTOTAL" name="C_EDYRTOTAL" files="C" intrvl="discrete">
  <labl>Total years education</labl>
  <imputation>Total years education</imputation>
  <security>Total years education</security>
  <embargo>Total years education</embargo>
  <respUnit>Total years education</respUnit>
  <qstn>
    <qstnLit>109) What was the last grade you completed at this level?

GRADES FOR PRIMARY

INTRODUCTORY COURSE 1
PREPARATORY COURSE 2
ELEMENTARY COURSE 1 3
ELEMENTARY COURSE 2 4
MID-LEVEL COURSE 1 5
MID-LEVEL COURSE 2 6

GRADES FOR SECONDARY, FIRST CYCLE

6TH 1
5TH 2
4TH 3
3RD 4
DON'T KNOW 8

GRADES FOR SECONDARY, SECOND

2ND 1
1ST 2
FINAL YEAR 3
DON'T KNOW 8

GRADES FOR HIGHER LEVEL

FIRST YEAR 1
SECOND YEAR 2
THIRD YEAR 3
FOURTH YEAR AND HIGHER 4
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <txt>EDYRTOTAL (V133) reports the woman's education level in single years. This variable is constructed from responses to EDUCLVL (V106) and YRSCHL (V107) as follows:

If EDUCLVL = "No education," EDYRTOTAL = "0"
If EDUCLVL = "Primary," EDYRTOTAL = YRSCHL
If EDUCLVL = "Secondary," EDYRTOTAL = YRSCHL + x
If EDUCLVL = "Higher," EDYRTOTAL = YRSCHL + y
If EDUCLVL = "Missing," EDYRTOTAL = "Missing"

In the above equations, "x" equals the number of years needed to complete primary education, and "y" equals the number of years needed to complete primary and secondary education. The values of "x" and "y" are country-specific.</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_EDACHIEVER" name="C_EDACHIEVER" files="C" intrvl="discrete">
  <labl>Summary educational achievement</labl>
  <imputation>Summary educational achievement</imputation>
  <security>Summary educational achievement</security>
  <embargo>Summary educational achievement</embargo>
  <respUnit>Summary educational achievement</respUnit>
  <qstn>
    <qstnLit>109) What was the last grade you completed at this level?

GRADES FOR PRIMARY

INTRODUCTORY COURSE 1
PREPARATORY COURSE 2
ELEMENTARY COURSE 1 3
ELEMENTARY COURSE 2 4
MID-LEVEL COURSE 1 5
MID-LEVEL COURSE 2 6

GRADES FOR SECONDARY, FIRST CYCLE

6TH 1
5TH 2
4TH 3
3RD 4
DON'T KNOW 8

GRADES FOR SECONDARY, SECOND

2ND 1
1ST 2
FINAL YEAR 3
DON'T KNOW 8

GRADES FOR HIGHER LEVEL

FIRST YEAR 1
SECOND YEAR 2
THIRD YEAR 3
FOURTH YEAR AND HIGHER 4
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <labl>No education</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Incomplete primary</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Complete primary</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Incomplete secondary</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Complete secondary</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Higher</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>EDACHIEVER (V149) is a summary variable that reports the woman's highest level of education in broad categories. Countries vary in the gradations of their school systems, but EDACHIEVER is a standardized variable providing the level of education in six categories: No education, Incomplete primary, Complete primary, Incomplete secondary, Complete secondary, and Higher.

EDACHIEVER is constructed from information contained in EDUCLVL (V106) and YRSCHL (V107).</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_INSCHOOL" name="C_INSCHOOL" files="C" intrvl="discrete">
  <labl>Woman still in school</labl>
  <imputation>Woman still in school</imputation>
  <security>Woman still in school</security>
  <embargo>Woman still in school</embargo>
  <respUnit>Woman still in school</respUnit>
  <qstn>
    <qstnLit>10) IF UNDER 25 YEARS OLD: Does (NAME) still go to school?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>INSCHOOL (V148) indicates whether young women are currently attending school or university. Women age 24 or older are assumed to no longer be in school and automatically coded as "No" (code "0").</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HUSEDLVL" name="C_HUSEDLVL" files="C" intrvl="discrete">
  <labl>Partner's educational level</labl>
  <imputation>Partner's educational level</imputation>
  <security>Partner's educational level</security>
  <embargo>Partner's educational level</embargo>
  <respUnit>Partner's educational level</respUnit>
  <qstn>
    <qstnLit>703) What is the highest level of school that he reached: primary, post-primary, secondary, or higher?

PRIMARY 1
SECONDARY, FIRST CYCLE 2
SECONDARY, SECOND CYCLE 3
HIGHER 4
DON'T KNOW 8 (GO TO 705)</qstnLit>
  </qstn>
  <catgry>
    <labl>No education</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Primary</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Secondary</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Higher</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who had ever been married or lived with a man, HUSEDLVL (V701) reports the highest level of school attended by their most recent husband/partner. Countries vary in the gradations of their school systems, but HUSEDLVL is a standardized variable reporting the level of education in four categories: No education, Primary, Secondary, and Higher. 

The DHS recode manuals state, "In some countries the educational system does not fit naturally within this scheme, and a different categorization was used for the Final Report. In this case, this variable is constructed as accurately as possible from the country's own scheme, and the variable used for the Final Report is included as a country-specific variable."</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HUSEDYR" name="C_HUSEDYR" files="C" intrvl="discrete">
  <labl>Partner's highest year of education in level</labl>
  <imputation>Partner's highest year of education in level</imputation>
  <security>Partner's highest year of education in level</security>
  <embargo>Partner's highest year of education in level</embargo>
  <respUnit>Partner's highest year of education in level</respUnit>
  <qstn>
    <qstnLit>704) What was the last (grade, year) that he completed at that level?

GRADE: ___
DON'T KNOW 8

CLASSES FOR PRIMARY LEVEL

INTRODUCTORY COURSE 1
PREPARATORY COURSE 2
ELEMENTARY COURSE 1 3
ELEMENTARY COURSE 2 4
MID-LEVEL COURSE 1 5
MID-LEVEL COURSE 2 6

CLASSES FOR SECONDARY, FIRST CYCLE LEVEL

6TH 1
5TH 2
4TH 3
3RD 4
DON'T KNOW 8

CLASSES FOR SECONDARY, SECOND CYCLE LEVEL

2ND 1
1ST 2
FINAL YEAR 3
DON'T KNOW 8

CLASSES FOR HIGHER LEVEL

FIRST YEAR 1
SECOND YEAR 2
THIRD YEAR 3
FOURTH YEAR AND HIGHER 4
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women whose most recent husband/partner had ever attended school, HUSEDYR (V702) reports the number of years of schooling completed by their husband/partner at the educational level (primary, secondary, or higher) reported in HUSEDLVL (V701).

For the husband's total years of education, see HUSEDYRS (V715).</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HUSEDYRS" name="C_HUSEDYRS" files="C" intrvl="discrete">
  <labl>Partner's education in total years schooling</labl>
  <imputation>Partner's education in total years schooling</imputation>
  <security>Partner's education in total years schooling</security>
  <embargo>Partner's education in total years schooling</embargo>
  <respUnit>Partner's education in total years schooling</respUnit>
  <qstn>
    <qstnLit>704) What was the last (grade, year) that he completed at that level?

GRADE: ___
DON'T KNOW 8

CLASSES FOR PRIMARY LEVEL

INTRODUCTORY COURSE 1
PREPARATORY COURSE 2
ELEMENTARY COURSE 1 3
ELEMENTARY COURSE 2 4
MID-LEVEL COURSE 1 5
MID-LEVEL COURSE 2 6

CLASSES FOR SECONDARY, FIRST CYCLE LEVEL

6TH 1
5TH 2
4TH 3
3RD 4
DON'T KNOW 8

CLASSES FOR SECONDARY, SECOND CYCLE LEVEL

2ND 1
1ST 2
FINAL YEAR 3
DON'T KNOW 8

CLASSES FOR HIGHER LEVEL

FIRST YEAR 1
SECOND YEAR 2
THIRD YEAR 3
FOURTH YEAR AND HIGHER 4
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who had ever been married or lived with a man, HUSEDYRS (V715) reports the education of the woman's most recent husband/partner in single years. This variable is constructed from responses to HUSEDLVL (V701) and HUSEDYR (V702) as follows:

If HUSEDLVL = "No education," HUSEDYRS = "0"
If HUSEDLVL = "Primary," HUSEDYRS = HUSEDYR 
If HUSEDLVL = "Secondary," HUSEDYRS = HUSEDYR + x
If HUSEDLVL = "Higher," HUSEDYRS = HUSEDYR + y
If HUSEDLVL = "Missing," HUSEDYRS = "Missing"

In the above equations, "x" equals the number of years needed to complete primary education, and "y" equals the number of years needed to complete primary and secondary education. The values of "x" and "y" are country-specific.</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HUSEDACHIEVER" name="C_HUSEDACHIEVER" files="C" intrvl="discrete">
  <labl>Husband's summary educational achievement</labl>
  <imputation>Husband's summary educational achievement</imputation>
  <security>Husband's summary educational achievement</security>
  <embargo>Husband's summary educational achievement</embargo>
  <respUnit>Husband's summary educational achievement</respUnit>
  <qstn>
    <qstnLit>704) What was the last (grade, year) that he completed at that level?

GRADE: ___
DON'T KNOW 8

CLASSES FOR PRIMARY LEVEL

INTRODUCTORY COURSE 1
PREPARATORY COURSE 2
ELEMENTARY COURSE 1 3
ELEMENTARY COURSE 2 4
MID-LEVEL COURSE 1 5
MID-LEVEL COURSE 2 6

CLASSES FOR SECONDARY, FIRST CYCLE LEVEL

6TH 1
5TH 2
4TH 3
3RD 4
DON'T KNOW 8

CLASSES FOR SECONDARY, SECOND CYCLE LEVEL

2ND 1
1ST 2
FINAL YEAR 3
DON'T KNOW 8

CLASSES FOR HIGHER LEVEL

FIRST YEAR 1
SECOND YEAR 2
THIRD YEAR 3
FOURTH YEAR AND HIGHER 4
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <labl>No education</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Incomplete primary</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Complete primary</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Incomplete secondary</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Complete secondary</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Higher</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>HUSEDACHIEVER (V729) is a summary variable that reports the highest level of education in broad categories for the woman's husband/partner. Countries vary in the gradations of their school systems, but HUSEDACHIEVER is a standardized variable providing the level of education in six categories: No education, Incomplete primary, Complete primary, Incomplete secondary, Complete secondary, and Higher. 

HUSEDACHIEVER is constructed from information contained in the HUSEDLVL (V701) and HUSEDYR (V702) variables.</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_NEWSWK" name="C_NEWSWK" files="C" intrvl="discrete">
  <labl>Reads newspaper once a week</labl>
  <imputation>Reads newspaper once a week</imputation>
  <security>Reads newspaper once a week</security>
  <embargo>Reads newspaper once a week</embargo>
  <respUnit>Reads newspaper once a week</respUnit>
  <qstn>
    <qstnLit>112) Do you read a journal or magazine practically at least once a week?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>NEWSWK (V109) indicates whether the woman usually reads a newspaper or magazine at least once a week. 

For a comparable variable reporting the frequency of newspaper or magazine reading, see NEWSFQ (V157). For a variable bridging NEWSWK and NEWSFQ, see NEWSBRIG.</txt>
  <concept>
    <title>Media exposure Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_NEWSBRIG" name="C_NEWSBRIG" files="C" intrvl="discrete">
  <labl>Reads newspaper: Bridging variable</labl>
  <imputation>Reads newspaper: Bridging variable</imputation>
  <security>Reads newspaper: Bridging variable</security>
  <embargo>Reads newspaper: Bridging variable</embargo>
  <respUnit>Reads newspaper: Bridging variable</respUnit>
  <qstn>
    <qstnLit>112) Do you read a journal or magazine practically at least once a week?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>No, not at all</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>No, less than once a week</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>At least once a week</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Almost every day</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <txt>NEWSBRIG serves as a bridging variable between two approaches to collecting information on exposure to newspapers and magazines.  For DHS Phases 1-3, respondents were asked whether they read a newspaper or magazine at least once a week (NEWSWK (V109)).  Beginning in DHS Phase 4, respondents were asked how often they read newspapers or magazines (NEWSFQ (V157)). 

NEWSBRIG uses composite coding to combine data from these two approaches. See Comparability for more information.</txt>
  <concept>
    <title>Media exposure Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TVWK" name="C_TVWK" files="C" intrvl="discrete">
  <labl>Watches TV every week</labl>
  <imputation>Watches TV every week</imputation>
  <security>Watches TV every week</security>
  <embargo>Watches TV every week</embargo>
  <respUnit>Watches TV every week</respUnit>
  <qstn>
    <qstnLit>114) Do you watch television at least once a week?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TVWK (V110) indicates whether the woman usually watches television at least once a week.

For a comparable variable reporting the frequency of watching television, see TVFQ (V159). For a variable bridging TVWK and TVFQ, see TVBRIG.</txt>
  <concept>
    <title>Media exposure Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TVBRIG" name="C_TVBRIG" files="C" intrvl="discrete">
  <labl>Watches television: Bridging variable</labl>
  <imputation>Watches television: Bridging variable</imputation>
  <security>Watches television: Bridging variable</security>
  <embargo>Watches television: Bridging variable</embargo>
  <respUnit>Watches television: Bridging variable</respUnit>
  <qstn>
    <qstnLit>114) Do you watch television at least once a week?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>No, not at all</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>No, less than once a week</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>At least once a week</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Almost every day</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <txt>TVBRIG serves as a bridging variable between two approaches to collecting information on exposure to television.  For DHS Phases 1-3, respondents were asked whether they watch television at least once a week (TVWK (V110)).  Beginning in DHS Phase 4, respondents were asked how often they watch television (TVFQ (V159)). 

TVBRIG uses composite coding to combine data from these two approaches; see Comparability.</txt>
  <concept>
    <title>Media exposure Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_RADIOWK" name="C_RADIOWK" files="C" intrvl="discrete">
  <labl>Listens to radio every week</labl>
  <imputation>Listens to radio every week</imputation>
  <security>Listens to radio every week</security>
  <embargo>Listens to radio every week</embargo>
  <respUnit>Listens to radio every week</respUnit>
  <qstn>
    <qstnLit>113) Do you listen to the radio at least once a week?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <txt>RADIOWK (V112) indicates whether the woman usually listens to the radio at least once a week. Women who reported that they listen to the radio daily (see RADIODAY (V111)) were automatically coded as "Yes."

For a comparable variable reporting the frequency of listening to the radio, see RADIOFQ (V158). For a variable bridging RADIOWK and RADIOFQ, see RADIOBRIG.</txt>
  <concept>
    <title>Media exposure Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_RADIOBRIG" name="C_RADIOBRIG" files="C" intrvl="discrete">
  <labl>Listens to radio: Bridging variable</labl>
  <imputation>Listens to radio: Bridging variable</imputation>
  <security>Listens to radio: Bridging variable</security>
  <embargo>Listens to radio: Bridging variable</embargo>
  <respUnit>Listens to radio: Bridging variable</respUnit>
  <qstn>
    <qstnLit>113) Do you listen to the radio at least once a week?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Not at all</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Less than once a week</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>At least once a week</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Almost every day</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <txt>RADIOBRIG serves as a bridging variable between two approaches to collecting information on exposure to the radio.  For DHS Phases 1-3, respondents were asked whether they listen to the radio at least once a week (RADIOWK (V112)).  Beginning in DHS Phase 4, respondents were asked how often they listen to the radio (RADIOFQ (V158)). 

RADIOBRIG uses composite coding to combine data from these two approaches; see Comparability.</txt>
  <concept>
    <title>Media exposure Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FERTPREF" name="C_FERTPREF" files="C" intrvl="discrete">
  <labl>Fertility preferences</labl>
  <imputation>Fertility preferences</imputation>
  <security>Fertility preferences</security>
  <embargo>Fertility preferences</embargo>
  <respUnit>Fertility preferences</respUnit>
  <qstn>
    <qstnLit>603) CHECK 223:

NOT PREGNANT OR UNSURE: Now I have some questions about the future. Would you like to have (a/another) child you would you prefer not have any (more) children?

PREGNANT: Now I have some questions about the future. After the child you're expecting, would you like to have another child or would you prefer to not have any more children?

HAVE (ANOTHER) CHILD 1
NO MORE/NONE 2 (GO TO 610)
SHE SAYS SHE CAN'T GET PREGNANT 3 (GO TO 610)
UNDECIDED OR DON'T KNOW 8 (GO TO 610)</qstnLit>
  </qstn>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>Never had sex</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Declared infecund</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Sterilized</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Not at risk of pregnancy</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Up to God</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>No more</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Undecided</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Have another</labl>
  </catgry>
  <txt>For countries with low contraceptive prevalence, FERTPREF (V602) reports responses to the question, "Would you like to have a (another) child or would you prefer not to have any (more) children"?  The standard response categories are "have another," "no more/none," "says she can't get pregnant," and "undecided or don't know."   

In Phase I, FERTPREF (V602), was constructed from two questions in countries with high contraceptive prevalence (Model "A" questionnaires). Women who responded that they want another child, but when asked when they would like the next child, respond that they cannot get pregnant, are classified in the "declared infecund category," and not in the "Wants another" category. 

Some samples also include the response "up to God." More detailed responses under the general category "says she can't get pregnant" are sometimes available. In IPUMS-DHS, all responses in the general category of "not at risk of pregnancy" share a common first digit of 5, while the second digit distinguishes between the specific reasons.  In some countries, women who never had sexual intercourse (coded as "53" in IPUMS-DHS) were not asked the questions relating to their desire for future children.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_UNMETNEED" name="C_UNMETNEED" files="C" intrvl="discrete">
  <labl>Unmet need for FP</labl>
  <imputation>Unmet need for FP</imputation>
  <security>Unmet need for FP</security>
  <embargo>Unmet need for FP</embargo>
  <respUnit>Unmet need for FP</respUnit>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Desire birth in less than 2 years</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>No unmet need</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>Never had sex</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Not in union, not sexually active</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Infecund or menopausal</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Not at risk</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>No sex, want to wait</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Future need for FP</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Limiting failure</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Spacing failure</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Had FP failure</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Using to limit</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Using to space</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Now using FP</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Unmet need to limit</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Unmet need to space</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Has unmet need for FP</labl>
  </catgry>
  <txt>UNMETNEED (V624) is a constructed variable that reports a woman's need for family planning according to whether she has an unmet need or a met need to space or to limit her future births.  

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

The following describes the constructed categories in more detail:

Unmet need for spacing includes pregnant women whose pregnancy was mistimed, postpartum amenorrheic women whose last birth was mistimed, and fecund women who are neither pregnant nor postpartum amenorrheic and who are not using any method of family planning and say they want to wait two or more years for their next birth, are undecided about the timing of the next birth, or are undecided whether to have another child. 
Unmet need for limiting includes pregnant women whose pregnancy was unwanted, postpartum amenorrheic women whose last birth was unwanted, and fecund women who are neither pregnant nor postpartum amenorrheic and who are not using any method of family planning and who want no more children. 
Met need for spacing includes women who are using some method of family planning and say they want to have another child, are undecided about the timing of the next birth, or are undecided whether to have another child. 
Met need for limiting includes women who are using family planning and who want no more children. 

Note that the specific methods (modern or traditional) are not taken into account here.

Met need describes women who have no need for contraceptive methods, either because they desire a child soon (within the next two years) or because they are menopausal or infecund. 

In high contraceptive prevalence countries (Model "A" countries), pregnant and postpartum amenorrheic women whose pregnancy was the result of a contraceptive failure are not included in the category of unmet need, but they are categorized as spacing failures or limiting failures. In low contraceptive prevalence countries (Model "B" countries), no such distinction is made, since information was not collected on contraceptive failure. Infecund women are also excluded from the unmet need categories.


The  "Online Guide to DHS Statistics" provides the following definitions:
  Fecundity:  A woman is assumed to be fecund unless she declares that she is infecund, had a hysterectomy, or is menopausic.  Women who are neither pregnant nor postpartum amenorrheic but who have not menstruated for six or more months, and married women who have not used contraception in the past five years but have not had a birth and are not pregnant, are also considered infecund.
 Failure to Space:  This includes women who are pregnant (not due to a contraceptive failure) or are less than six months postpartum amenorrheic who say they wanted the current pregnancy later.
 Failure to Limit:  This includes women who are pregnant (not due to a contraceptive failure) or are less than six months postpartum amenorrheic who say that they did not want another child before they became pregnant.

Excluded from the unmet need category are women who became pregnant while using a method (these women are in need of a better method of contraception).

The infecund or menopausal category on the UNMETNEED (V624) variable contains fewer cases than the EXPOSURE1 variable, because women who are categorized as infecund or menopausal, but are currently using a contraceptive method, are recorded in the two "met need" categories in UNMETNEED.


UNMETNEED (V624) incorporates responses to the following variables:

 [EXPOSURE1/V623], which reports the woman's exposure to the risk of pregnancy, defined as pregnant, postpartum amenorrheic, menopausal or infecund, and fecund. 
 [ V225], which reports whether a current pregnancy was wanted then, later or not at all (for women who were pregnant at the time of interview). 
 [KIDDESIRE/V605] ,which reports whether the woman wants more children and when she would like them.
 [FPMETHNOW/V312] which reports the woman's current use of contraception. 

Users are also encouraged to see details of this variable provided in the "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006) [URL omitted from DDI.].</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_UNMETNEED2" name="C_UNMETNEED2" files="C" intrvl="discrete">
  <labl>Unmet need for FP (2nd def)</labl>
  <imputation>Unmet need for FP (2nd def)</imputation>
  <security>Unmet need for FP (2nd def)</security>
  <embargo>Unmet need for FP (2nd def)</embargo>
  <respUnit>Unmet need for FP (2nd def)</respUnit>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>No sex, want to wait/not married and no sex in last 30 days</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Never had sex</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Infecund, menopausal</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Not at risk for pregnancy</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Desire birth in less than 2 yrs</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>No unmet need</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Limiting failure</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Spacing failure</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Family limitation failure</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Using to limit</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Using to space</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Now using FP</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Unmet need to limit</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Unmet need to space</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Has unmet need for FP</labl>
  </catgry>
  <txt>UNMETNEED2 (V626) is a constructed variable that indicates a woman's need for family planning according to whether she has an unmet need or a met need to space or to limit her future births.  UNMETNEED2 is similar to UNMETNEED, but UNMETNEED2 differently categorizes women who are infecund or menopausal but are currently using a contraceptive method. 

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

The construction of UNMETNEED2 uses a definition of fecundity based on exposure status as reported in EXPOSURE2. UNMETNEED, by contrast, uses a definition of exposure status as reported in EXPOSURE1. See the descriptions of these two variables for discussion of their differences.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_KIDDESIRE" name="C_KIDDESIRE" files="C" intrvl="discrete">
  <labl>Desire for more children</labl>
  <imputation>Desire for more children</imputation>
  <security>Desire for more children</security>
  <embargo>Desire for more children</embargo>
  <respUnit>Desire for more children</respUnit>
  <qstn>
    <qstnLit>603) CHECK 223:

NOT PREGNANT OR UNSURE: Now I have some questions about the future. Would you like to have (a/another) child you would you prefer not have any (more) children?

PREGNANT: Now I have some questions about the future. After the child you're expecting, would you like to have another child or would you prefer to not have any more children?

HAVE (ANOTHER) CHILD 1
NO MORE/NONE 2 (GO TO 610)
SHE SAYS SHE CAN'T GET PREGNANT 3 (GO TO 610)
UNDECIDED OR DON'T KNOW 8 (GO TO 610)</qstnLit>
  </qstn>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>Never had sex</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>Declared infecund</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Sterilized</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Not at risk of pregnancy</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Up to God</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Fatalistic response</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Wants no more</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Undecided</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Wants, unsure timing</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Wants after 2+ years</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Wants within 2 years</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Wants more children</labl>
  </catgry>
  <txt>KIDDESIRE (V605) is a constructed variable that distinguishes between women who want another child soon (in less than two years), who want another child later (in 2+ years), who want no more children, and who aren't sure (about timing or about the number of children desired).  

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

The construction of this variable has changed across phases of the DHS and varies across countries (only sometimes distinguishing between groups of women not at risk of pregnancy due to sterilization, infecundity, or virginity).  To maximize comparability across samples, IPUMS-DHS employs composite coding.  Women who want more children share a common first digit of 1, women not at risk of pregnancy share a common first digit of 6, and detail present in only some samples is specified in the code's second digit.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPLCHDESIRE" name="C_FPLCHDESIRE" files="C" intrvl="discrete">
  <labl>Wanted last child</labl>
  <imputation>Wanted last child</imputation>
  <security>Wanted last child</security>
  <embargo>Wanted last child</embargo>
  <respUnit>Wanted last child</respUnit>
  <qstn>
    <qstnLit>403) At the time you became pregnant with (NAME), did you want to become pregnant then, did you want to wait until later, or did you want no more children at all?

THEN 1 (GO TO 405)
LATER 2
NO MORE 3 (GO TO 405)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Wanted last child then</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Wanted last child later</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Wanted no more children</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Unsure</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPLCHDESIRE (V367) reports whether the woman's last born child was wanted at the time she got pregnant, was wanted but at a later time, or was not wanted at all. The cutoff point for when the woman's last child was born varies across samples; see Comparability.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PGDESIRE" name="C_PGDESIRE" files="C" intrvl="discrete">
  <labl>Time wanted current pregnancy</labl>
  <imputation>Time wanted current pregnancy</imputation>
  <security>Time wanted current pregnancy</security>
  <embargo>Time wanted current pregnancy</embargo>
  <respUnit>Time wanted current pregnancy</respUnit>
  <qstn>
    <qstnLit>225) At the time you became pregnant, did you want to become pregnant then, did you want to wait until later or did you not want to become pregnant?

THEN 1
LATER 2
NOT AT ALL 3
GOD WILLED IT 4
DON'T KNOW 5</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Then</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Later</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Not at all</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Up to God</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know/Not sure</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are currently pregnant, PGDESIRE (V225) reports whether, at the time of becoming pregnant, the woman wanted her pregnancy then, later, or not at all.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_IDEALKID" name="C_IDEALKID" files="C" intrvl="discrete">
  <labl>Ideal number of children</labl>
  <imputation>Ideal number of children</imputation>
  <security>Ideal number of children</security>
  <embargo>Ideal number of children</embargo>
  <respUnit>Ideal number of children</respUnit>
  <qstn>
    <qstnLit>617) CHECK 216:

HAS LIVING CHILDREN: If you could go back to the time you did not have any children and could choose exactly the number of children to have in your whole life, how many would that be?

NO LIVING CHILDREN: If you could choose exactly the number of children to have in your whole life, how many would that be?

RECORD SINGLE NUMBER OR OTHER ANSWER.

NUMBER: ___
OTHER ANSWER (SPECIFY): ___ 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>Number she has currently</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>Depends on husband</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>As many as possible</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>Never thought about it</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>Any number/Fatalistic</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Up to God/As Allah wills</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Non-numeric response</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>As many as can care for</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>Doesn't want children</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>IDEALKID (V613) reports the ideal total number of children the woman would have liked to have in her whole life, regardless of her actual childbearing. The information is collected through hypothetical questions such as, "If you could go back to the time you did not have any children and could choose exactly the number of children to have in your whole life, how many would that be?" (for women with living children) or "If you could choose exactly the number of children to have in your whole life, how many would that be?" (for women without living children).

If the woman responded with a range of values, IDEALKID reports the midpoint between those values. According to the DHS Recode Manuals, "If the midpoint is not an exact number then the number is rounded up in half the cases and rounded down for the other half." The questionnaires included space for non-numeric "other" responses, such as "Up to God."

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_IDEALKIDGRP" name="C_IDEALKIDGRP" files="C" intrvl="discrete">
  <labl>Ideal number of children (grouped)</labl>
  <imputation>Ideal number of children (grouped)</imputation>
  <security>Ideal number of children (grouped)</security>
  <embargo>Ideal number of children (grouped)</embargo>
  <respUnit>Ideal number of children (grouped)</respUnit>
  <qstn>
    <qstnLit>617) CHECK 216:

HAS LIVING CHILDREN: If you could go back to the time you did not have any children and could choose exactly the number of children to have in your whole life, how many would that be?

NO LIVING CHILDREN: If you could choose exactly the number of children to have in your whole life, how many would that be?

RECORD SINGLE NUMBER OR OTHER ANSWER.

NUMBER: ___
OTHER ANSWER (SPECIFY): ___ 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Non-numeric response</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6+</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <labl>[no label]</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>Like IDEALKID, IDEALKIDGRP (V614) reports the total number of children the woman would hypothetically like to have in her whole life, regardless of her actual childbearing, but top-codes numeric responses at 6+ children and codes non-numeric responses as 7.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_IDEALBTHFUT" name="C_IDEALBTHFUT" files="C" intrvl="discrete">
  <labl>Ideal time before future birth</labl>
  <imputation>Ideal time before future birth</imputation>
  <security>Ideal time before future birth</security>
  <embargo>Ideal time before future birth</embargo>
  <respUnit>Ideal time before future birth</respUnit>
  <qstn>
    <qstnLit>604) CHECK 223:

NOT PREGNANT OR UNSURE: How long would you like to wait from now before (a/another) child?

PREGNANT: How long would you like to wait after the birth of the child you are expecting before the birth of another child?

MONTHS: ___ 1 (GO TO 610)
YEARS: ___ 2 (GO TO 610)
SOON/NOW 994 (GO TO 610)
SHE SAYS SHE CAN'T GET PREGNANT 995 (GO TO 610)
OTHER (SPECIFY): ___ 996
DON'T KNOW 998</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67 months</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68 months</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69 months</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70 months</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71 months</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72 months</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73 months</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74 months</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75 months</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76 months</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77 months</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78 months</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79 months</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80 months</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81 months</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82 months</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83 months</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84 months</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85 months</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86 months</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87 months</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88 months</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89 months</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90 months</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>91 months</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>92 months</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>93 months</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>94 months</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>95 months</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>96 months</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>97 months</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>98 months</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Months, unspecified number</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35+ years</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Years, number missing</labl>
  </catgry>
  <catgry>
    <catValu>989</catValu>
    <labl>Up to God</labl>
  </catgry>
  <catgry>
    <catValu>990</catValu>
    <labl>After finishing school</labl>
  </catgry>
  <catgry>
    <catValu>991</catValu>
    <labl>After marriage</labl>
  </catgry>
  <catgry>
    <catValu>992</catValu>
    <labl>When husband returns</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>After breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>At any time</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Soon/now</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>IDEALBTHFUT (V616) reports how long the woman would like to wait before the birth of a/another child.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_IDEALBTHINT" name="C_IDEALBTHINT" files="C" intrvl="discrete">
  <labl>Best interval between births</labl>
  <imputation>Best interval between births</imputation>
  <security>Best interval between births</security>
  <embargo>Best interval between births</embargo>
  <respUnit>Best interval between births</respUnit>
  <qstn>
    <qstnLit>618) What do you think is the best number of months or years between the birth of one child and the birth of the next child?

MONTHS: ___ 1
YEARS: ___ 2
OTHER (SPECIFY): ___ 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>169</catValu>
    <labl>69 months</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68 months</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Months, unspecified number</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Years, unspecified number</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67 months</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70 months</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71 months</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72 months</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73 months</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74 months</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75 months</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76 months</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77 months</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78 months</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79 months</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80 months</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81 months</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82 months</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83 months</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84 months</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85 months</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86 months</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87 months</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88 months</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89 months</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90 months</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 years</labl>
  </catgry>
  <txt>IDEALBTHINT (V615) reports the best number of months or years between the birth of one child and the birth of the next child, according to the respondent.

IPUMS-DHS adopts the recoding system from DHS for IDEALBTHINT. Below is a description of the codes from the DHS Recode Manual for Phase 2:


The first digit gives the units in which the respondent answered ("1" indicates months, "2" indicates years, and "9" indicates a special response), while the last two digits give the time in those units. If the units' value is 9 then the variable contains a special response, and if the duration value is greater than 90 this also indicates a special response. For example, code 996 is used for "other" answers, and code 299 would mean that the response was given in years but the actual duration was missing on the questionnaire.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PREFTIMECH" name="C_PREFTIMECH" files="C" intrvl="discrete">
  <labl>Preferred waiting time for birth of a(nother) child</labl>
  <imputation>Preferred waiting time for birth of a(nother) child</imputation>
  <security>Preferred waiting time for birth of a(nother) child</security>
  <embargo>Preferred waiting time for birth of a(nother) child</embargo>
  <respUnit>Preferred waiting time for birth of a(nother) child</respUnit>
  <qstn>
    <qstnLit>604) CHECK 223:

NOT PREGNANT OR UNSURE: How long would you like to wait from now before (a/another) child?

PREGNANT: How long would you like to wait after the birth of the child you are expecting before the birth of another child?

MONTHS: ___ 1 (GO TO 610)
YEARS: ___ 2 (GO TO 610)
SOON/NOW 994 (GO TO 610)
SHE SAYS SHE CAN'T GET PREGNANT 995 (GO TO 610)
OTHER (SPECIFY): ___ 996
DON'T KNOW 998</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than one month (want now)</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67 months</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68 months</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69 months</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70 months</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71 months</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72 months</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73 months</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74 months</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75 months</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76 months</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77 months</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78 months</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79 months</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80 months</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81 months</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82 months</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83 months</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84 months</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85 months</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86 months</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87 months</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88 months</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89 months</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90 months</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>91 months</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>92 months</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>93 months</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>94 months</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>95 months</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>96 months</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>97 months</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>98 months</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Months, number unspecified</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than one year</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 years or more</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Years, number unspecified</labl>
  </catgry>
  <catgry>
    <catValu>987</catValu>
    <labl>After weaning</labl>
  </catgry>
  <catgry>
    <catValu>989</catValu>
    <labl>After finishing school</labl>
  </catgry>
  <catgry>
    <catValu>990</catValu>
    <labl>When spouse returns</labl>
  </catgry>
  <catgry>
    <catValu>991</catValu>
    <labl>Up to God</labl>
  </catgry>
  <catgry>
    <catValu>992</catValu>
    <labl>After marriage</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>Any time</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>Soon or immediately</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Other, non-numeric response</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent response</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who want to have a/another child, PREFTIMECH (V603) reports the amount of time, in months or years, they would like to wait before the birth of a/another child (top-coded at 20 years). The complementary variable PREFTIMECH (V604) reports responses to the same question, but in terms of years only, top-coded at 6+ years.

PREFTIMECH includes women who are either pregnant or at risk of pregnancy. However, the definition of "at risk of pregnancy" varies across samples, and the way this variable was asked and calculated also changed over time; see Comparability.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PREFTIMECHGP" name="C_PREFTIMECHGP" files="C" intrvl="discrete">
  <labl>Preferred waiting time for birth of a(nother) child (grouped)</labl>
  <imputation>Preferred waiting time for birth of a(nother) child (grouped)</imputation>
  <security>Preferred waiting time for birth of a(nother) child (grouped)</security>
  <embargo>Preferred waiting time for birth of a(nother) child (grouped)</embargo>
  <respUnit>Preferred waiting time for birth of a(nother) child (grouped)</respUnit>
  <qstn>
    <qstnLit>604) CHECK 223:

NOT PREGNANT OR UNSURE: How long would you like to wait from now before (a/another) child?

PREGNANT: How long would you like to wait after the birth of the child you are expecting before the birth of another child?

MONTHS: ___ 1 (GO TO 610)
YEARS: ___ 2 (GO TO 610)
SOON/NOW 994 (GO TO 610)
SHE SAYS SHE CAN'T GET PREGNANT 995 (GO TO 610)
OTHER (SPECIFY): ___ 996
DON'T KNOW 998</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Less than 12 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6 or more years</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Non-numeric response</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who want to have a/another child, PREFTIMECHGP (V604) reports the amount of time, in years, they would like to wait before the birth of a/another child, top-coded at 6+ years.  

PREFTIMECHGP includes women who are either pregnant or at risk of pregnancy. However, the definition of "at risk of pregnancy" varies across samples; see Comparability. 

The related variable PREFTIMECH presents the same information in greater detail, in terms of months or years, top-coded at 20 years.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_IDEALAGECH" name="C_IDEALAGECH" files="C" intrvl="discrete">
  <labl>Desired age of youngest child at future birth</labl>
  <imputation>Desired age of youngest child at future birth</imputation>
  <security>Desired age of youngest child at future birth</security>
  <embargo>Desired age of youngest child at future birth</embargo>
  <respUnit>Desired age of youngest child at future birth</respUnit>
  <qstn>
    <qstnLit>606) CHECK 223:

NOT PREGNANT OR UNSURE: How old would you like your youngest child to be when your next child is born?

PREGNANT: How old would you like the child you are expecting to be when your next child is born?

AGE OF YOUNGEST CHILD IN YEARS: ___ (GO TO 610)
DON'T KNOW 98 (GO TO 610)</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20 years</labl>
  </catgry>
  <txt>For women who want to have a (another) child, IDEALAGECH (V617) reports the ideal age of their youngest child at the time of a future birth.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FERTPREFTLKH" name="C_FERTPREFTLKH" files="C" intrvl="discrete">
  <labl>Discussed number of children with partner</labl>
  <imputation>Discussed number of children with partner</imputation>
  <security>Discussed number of children with partner</security>
  <embargo>Discussed number of children with partner</embargo>
  <respUnit>Discussed number of children with partner</respUnit>
  <qstn>
    <qstnLit>612) Have you talked to your husband about the number of children you'd like to have?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FERTPREFTLKH (V620) indicates whether the woman and her husband/partner have discussed the number of children they would like to have.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HUSFERTPREF" name="C_HUSFERTPREF" files="C" intrvl="discrete">
  <labl>Husband's desire for children</labl>
  <imputation>Husband's desire for children</imputation>
  <security>Husband's desire for children</security>
  <embargo>Husband's desire for children</embargo>
  <respUnit>Husband's desire for children</respUnit>
  <qstn>
    <qstnLit>613) Do you think your husband/partner wants the same number of children that you want, or does he want more or fewer than you want?

SAME NUMBER 1
MORE CHILDREN 2
FEWER CHILDREN 3
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Both want same</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Husband wants more</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Husband wants fewer</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Don't Know</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Both provided non-numeric response</labl>
  </catgry>
  <txt>HUSFERTPREF (V621) reports whether the woman believes her partner wants the same number of children, more children, or fewer children than she wants.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPAPPROVE" name="C_FPAPPROVE" files="C" intrvl="discrete">
  <labl>Respondent approves of couples using FP</labl>
  <imputation>Respondent approves of couples using FP</imputation>
  <security>Respondent approves of couples using FP</security>
  <embargo>Respondent approves of couples using FP</embargo>
  <respUnit>Respondent approves of couples using FP</respUnit>
  <qstn>
    <qstnLit>616) In general, do you approve or disapprove of couples using a method to avoid getting pregnant?

APPROVE 1
DISAPPROVE 2</qstnLit>
  </qstn>
  <catgry>
    <labl>Disapproves</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Approves</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Depends</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know/Undecided</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPAPPROVE (V612) indicates whether the woman approves, in general, of the use of family planning to avoid a pregnancy.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HUSPROFP" name="C_HUSPROFP" files="C" intrvl="discrete">
  <labl>Husband approves FP use</labl>
  <imputation>Husband approves FP use</imputation>
  <security>Husband approves FP use</security>
  <embargo>Husband approves FP use</embargo>
  <respUnit>Husband approves FP use</respUnit>
  <qstn>
    <qstnLit>610) Do you think that your husband/partner approves or disapproves of couples using a method to avoid pregnancy?

APPROVES 1
DISAPPROVES 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Disapproves</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Approves or indifferent</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Approves</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Indifferent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>HUSPROFP (V610) indicates whether the woman believes her husband or male partner approves of couples using a family planning method to avoid pregnancy.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_EXPOSURE1" name="C_EXPOSURE1" files="C" intrvl="discrete">
  <labl>Fecund, pregnant, amenorrheic, or infecund</labl>
  <imputation>Fecund, pregnant, amenorrheic, or infecund</imputation>
  <security>Fecund, pregnant, amenorrheic, or infecund</security>
  <embargo>Fecund, pregnant, amenorrheic, or infecund</embargo>
  <respUnit>Fecund, pregnant, amenorrheic, or infecund</respUnit>
  <catgry>
    <catValu>3</catValu>
    <labl>Infecund, menopausal</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Amenorrheic</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Pregnant</labl>
  </catgry>
  <catgry>
    <labl>Fecund</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>EXPOSURE1 (V623) is a constructed variable that draws upon responses to several questions to differentiate between pregnant women, postpartum amenorrheic women, menopausal or infecund women, and fecund women.  

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

According to the DHS Recode Manuals, these categories are actualized as follows:

Pregnant women
Postpartum amenorrheic women are those whose period has not returned since the last birth in the three/five years preceding the survey.
Women are defined as being menopausal if they are not pregnant and not postpartum amenorrheic, are not currently using a contraceptive method, and have not had a period in the six months preceding the survey or report they are in menopause.
Women are defined as being infecund if they are not menopausal and not postpartum amenorrheic and not pregnant, have had no birth in the five years preceding the survey, and either (Model "A" countries) have been continuously married and have not used contraception in the five years preceding the survey, or (Model "B" countries) have been married one time and first married five or more years before the survey and have never used contraception.
Fecund women are all women not included in the preceding categories.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_EXPOSURE2" name="C_EXPOSURE2" files="C" intrvl="discrete">
  <labl>Fecund, pregnant, amenorrheic, or infecund (2nd def)</labl>
  <imputation>Fecund, pregnant, amenorrheic, or infecund (2nd def)</imputation>
  <security>Fecund, pregnant, amenorrheic, or infecund (2nd def)</security>
  <embargo>Fecund, pregnant, amenorrheic, or infecund (2nd def)</embargo>
  <respUnit>Fecund, pregnant, amenorrheic, or infecund (2nd def)</respUnit>
  <catgry>
    <labl>Fecund</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Pregnant</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Amenorrheic</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Infecund, menopausal</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>Like EXPOSURE1, EXPOSURE2 (V625) is a constructed variable that draws upon responses to several questions to distinguish between pregnant women, postpartum amenorrheic women, menopausal or infecund women, and fecund women. EXPOSURE2 uses a more liberal definition of infecundity than EXPOSURE1, however.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

The DHS Recode Manuals explain the differences between these two variables as follows:

For Model "B" countries, it is only possible to say that a woman had been continuously married throughout the preceding five years if she was in her first union. This definition has been relaxed in V625 [EXPOSURE2], such that the respondent need only have been married at least five years ago, and not continuously married throughout the last five years. For Model "A" countries, there is no change to this part of the definition.

[For EXPOSURE2] Two additional variables have been used to declare a woman infecund. If the respondent said that she cannot get pregnant when asked about preferences for additional children, or if she reported that she was menopausal or had a hysterectomy when giving the reason she was not currently using a contraceptive method, the respondent is coded as infecund.

Model A countries and Model B countries are defined according to whether the country based its questionnaire on the Model A or Model B standard DHS questionnaire for DHS phases one through four. In general, the Model A questionnaire was designed for use in countries with high contraceptive prevalence. Nonetheless, countries with relatively low contraceptive prevalence sometimes modeled their own questionnaire on the Model A standard questionnaire. This was the case, for example, for the Kenyan samples for 1998 and 2003 and the Malawi samples for 2000 and 2004.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPKNOTYP" name="C_FPKNOTYP" files="C" intrvl="discrete">
  <labl>Know any type of FP method</labl>
  <imputation>Know any type of FP method</imputation>
  <security>Know any type of FP method</security>
  <embargo>Know any type of FP method</embargo>
  <respUnit>Know any type of FP method</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Knows no method</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Knows only traditional or folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Knows only folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Knows only traditional method</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Knows modern method</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOTYP (V301) is a summary (recoded) variable indicating whether the woman knew any family planning method and, if so, whether she knew a modern method or only a traditional or folkloric method.  

In the DHS, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception.  

Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence.  Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet) that vary across samples.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPKNOPILL" name="C_FPKNOPILL" files="C" intrvl="discrete">
  <labl>Know about Pill for FP</labl>
  <imputation>Know about Pill for FP</imputation>
  <security>Know about Pill for FP</security>
  <embargo>Know about Pill for FP</embargo>
  <respUnit>Know about Pill for FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOPILL (V304_01) indicates whether the woman knew about the Pill as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPKNOIUD" name="C_FPKNOIUD" files="C" intrvl="discrete">
  <labl>Know about IUD for FP</labl>
  <imputation>Know about IUD for FP</imputation>
  <security>Know about IUD for FP</security>
  <embargo>Know about IUD for FP</embargo>
  <respUnit>Know about IUD for FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOIUD (V304_02) indicates whether the woman knew about the IUD (intra-uterine device) as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.  In probe questions, an IUD was often described as "a loop or coil placed inside them by a doctor or a nurse."</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPKNOINJ" name="C_FPKNOINJ" files="C" intrvl="discrete">
  <labl>Know about injectable FP</labl>
  <imputation>Know about injectable FP</imputation>
  <security>Know about injectable FP</security>
  <embargo>Know about injectable FP</embargo>
  <respUnit>Know about injectable FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOINJ (V304_03) indicates whether the woman knew about injectables as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability. For the probe question, injectables were typically defined as "an injection by a doctor or nurse, which stops them from becoming pregnant for several months."</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPKNODIA" name="C_FPKNODIA" files="C" intrvl="discrete">
  <labl>Know about diaphragm for  FP</labl>
  <imputation>Know about diaphragm for  FP</imputation>
  <security>Know about diaphragm for  FP</security>
  <embargo>Know about diaphragm for  FP</embargo>
  <respUnit>Know about diaphragm for  FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNODIA (V304_04) indicates whether the woman knew about the diaphragm or spermicides, such as a foam or jelly, as a method for family planning. Some phases combine diaphragm and spermicides in the response and some are separate; see Comparability. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPKNOCON" name="C_FPKNOCON" files="C" intrvl="discrete">
  <labl>Know about condom for FP</labl>
  <imputation>Know about condom for FP</imputation>
  <security>Know about condom for FP</security>
  <embargo>Know about condom for FP</embargo>
  <respUnit>Know about condom for FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOCON (V304_05) indicates whether the woman knew about male condoms as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPKNOFST" name="C_FPKNOFST" files="C" intrvl="discrete">
  <labl>Know about female sterilization for FP</labl>
  <imputation>Know about female sterilization for FP</imputation>
  <security>Know about female sterilization for FP</security>
  <embargo>Know about female sterilization for FP</embargo>
  <respUnit>Know about female sterilization for FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOFST (V304_06) indicates whether the woman knew about female sterilization as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPKNOMST" name="C_FPKNOMST" files="C" intrvl="discrete">
  <labl>Know about male sterilization for FP</labl>
  <imputation>Know about male sterilization for FP</imputation>
  <security>Know about male sterilization for FP</security>
  <embargo>Know about male sterilization for FP</embargo>
  <respUnit>Know about male sterilization for FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOMST (V304_07) indicates whether the woman knew about male sterilization as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPKNOWD" name="C_FPKNOWD" files="C" intrvl="discrete">
  <labl>Know about withdrawal for FP</labl>
  <imputation>Know about withdrawal for FP</imputation>
  <security>Know about withdrawal for FP</security>
  <embargo>Know about withdrawal for FP</embargo>
  <respUnit>Know about withdrawal for FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOWD (V304_09) indicates whether the woman knew about withdrawal as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPKNORHY" name="C_FPKNORHY" files="C" intrvl="discrete">
  <labl>Know about rhythm for FP</labl>
  <imputation>Know about rhythm for FP</imputation>
  <security>Know about rhythm for FP</security>
  <embargo>Know about rhythm for FP</embargo>
  <respUnit>Know about rhythm for FP</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNORHY (V304_08) indicates whether the woman knew about the rhythm method (periodic abstinence at the high-fertility part of the woman's menstrual cycle) as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPKNOCHARM" name="C_FPKNOCHARM" files="C" intrvl="discrete">
  <labl>Knows about charms or amulets as a method of family planning</labl>
  <imputation>Knows about charms or amulets as a method of family planning</imputation>
  <security>Knows about charms or amulets as a method of family planning</security>
  <embargo>Knows about charms or amulets as a method of family planning</embargo>
  <respUnit>Knows about charms or amulets as a method of family planning</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>FPKNOCHARM indicates whether the woman knew about using charms or amulets as a method for family planning. The complementary variable FPEVUSCHARM indicates whether the woman had ever used this method to delay or avoid a pregnancy. 

Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPKNORELIG" name="C_FPKNORELIG" files="C" intrvl="discrete">
  <labl>Knows about religion as a method of family planning</labl>
  <imputation>Knows about religion as a method of family planning</imputation>
  <security>Knows about religion as a method of family planning</security>
  <embargo>Knows about religion as a method of family planning</embargo>
  <respUnit>Knows about religion as a method of family planning</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>FPKNORELIG indicates whether the woman knew about using religion, such as a religious holy person or holy book, to delay or avoid a pregnancy. The complementary variable FPEVUSRELIG indicates whether the woman had ever used religion to delay or avoid a pregnancy. 

Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPKNOOM" name="C_FPKNOOM" files="C" intrvl="discrete">
  <labl>Knows about other contraceptive as a method of family planning</labl>
  <imputation>Knows about other contraceptive as a method of family planning</imputation>
  <security>Knows about other contraceptive as a method of family planning</security>
  <embargo>Knows about other contraceptive as a method of family planning</embargo>
  <respUnit>Knows about other contraceptive as a method of family planning</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOOM (V304_10) indicates whether the woman knew about any "other" method(s) as a method of family planning. The complementary variable FPEVUSOM indicates whether the woman had ever used any "other" method(s) to delay or avoid a pregnancy. The meaning of "other" in this case depends on the specific response categories included in a given sample. 

Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPKNOANYSRC" name="C_FPKNOANYSRC" files="C" intrvl="discrete">
  <labl>Known source for FP</labl>
  <imputation>Known source for FP</imputation>
  <security>Known source for FP</security>
  <embargo>Known source for FP</embargo>
  <respUnit>Known source for FP</respUnit>
  <qstn>
    <qstnLit>332) Do you know of a place where you can obtain a method of family planning?

YES 1
NO 2 (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>0000</catValu>
    <labl>No one/did not consult source</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>PUBLIC SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Government hospital</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>National/central hospital</labl>
  </catgry>
  <catgry>
    <catValu>1130</catValu>
    <labl>Regional/provincial hospital</labl>
  </catgry>
  <catgry>
    <catValu>1140</catValu>
    <labl>Urban hospital</labl>
  </catgry>
  <catgry>
    <catValu>1150</catValu>
    <labl>District/rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>1151</catValu>
    <labl>District hospital</labl>
  </catgry>
  <catgry>
    <catValu>1152</catValu>
    <labl>Rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>1160</catValu>
    <labl>University/teaching hospital</labl>
  </catgry>
  <catgry>
    <catValu>1161</catValu>
    <labl>University hospital</labl>
  </catgry>
  <catgry>
    <catValu>1162</catValu>
    <labl>Teaching hospital</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Government health center</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Referral health center</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Community health center</labl>
  </catgry>
  <catgry>
    <catValu>1230</catValu>
    <labl>Urban health center</labl>
  </catgry>
  <catgry>
    <catValu>1240</catValu>
    <labl>Rural health center</labl>
  </catgry>
  <catgry>
    <catValu>1250</catValu>
    <labl>Integrated health center</labl>
  </catgry>
  <catgry>
    <catValu>1260</catValu>
    <labl>Family welfare center</labl>
  </catgry>
  <catgry>
    <catValu>1270</catValu>
    <labl>Primary health center</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>Government pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>1310</catValu>
    <labl>Government pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>1320</catValu>
    <labl>Government dispensary</labl>
  </catgry>
  <catgry>
    <catValu>1400</catValu>
    <labl>Government maternity home</labl>
  </catgry>
  <catgry>
    <catValu>1410</catValu>
    <labl>Mother and child health (MCH) center</labl>
  </catgry>
  <catgry>
    <catValu>1420</catValu>
    <labl>Rural maternity clinic</labl>
  </catgry>
  <catgry>
    <catValu>1500</catValu>
    <labl>Government family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>1510</catValu>
    <labl>Stand-alone family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>1520</catValu>
    <labl>Mobile family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>1600</catValu>
    <labl>Government outreach</labl>
  </catgry>
  <catgry>
    <catValu>1610</catValu>
    <labl>Government health post</labl>
  </catgry>
  <catgry>
    <catValu>1611</catValu>
    <labl>Village health post</labl>
  </catgry>
  <catgry>
    <catValu>1620</catValu>
    <labl>Government mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>1630</catValu>
    <labl>Government health worker</labl>
  </catgry>
  <catgry>
    <catValu>1631</catValu>
    <labl>Fieldworker</labl>
  </catgry>
  <catgry>
    <catValu>1632</catValu>
    <labl>Community-based distribution agent (CBDA)</labl>
  </catgry>
  <catgry>
    <catValu>1633</catValu>
    <labl>Community/village health worker</labl>
  </catgry>
  <catgry>
    <catValu>1634</catValu>
    <labl>Health surveillance assistant (HSA)</labl>
  </catgry>
  <catgry>
    <catValu>1635</catValu>
    <labl>Paramedic</labl>
  </catgry>
  <catgry>
    <catValu>1636</catValu>
    <labl>Doctor</labl>
  </catgry>
  <catgry>
    <catValu>1637</catValu>
    <labl>Nurse</labl>
  </catgry>
  <catgry>
    <catValu>1900</catValu>
    <labl>Other public sector</labl>
  </catgry>
  <catgry>
    <catValu>1901</catValu>
    <labl>Camp</labl>
  </catgry>
  <catgry>
    <catValu>1902</catValu>
    <labl>Health box</labl>
  </catgry>
  <catgry>
    <catValu>1903</catValu>
    <labl>Health station/clinic</labl>
  </catgry>
  <catgry>
    <catValu>1904</catValu>
    <labl>Health office</labl>
  </catgry>
  <catgry>
    <catValu>1905</catValu>
    <labl>Community clinic</labl>
  </catgry>
  <catgry>
    <catValu>1906</catValu>
    <labl>Health insurance organization</labl>
  </catgry>
  <catgry>
    <catValu>1907</catValu>
    <labl>Curative care organization</labl>
  </catgry>
  <catgry>
    <catValu>1908</catValu>
    <labl>Parastatal health facility</labl>
  </catgry>
  <catgry>
    <catValu>1909</catValu>
    <labl>Female Community Health Volunteer Program (FCHV) of Nepal</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>PRIVATE MEDICAL SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Private hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Private hospital</labl>
  </catgry>
  <catgry>
    <catValu>2111</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>Private clinic</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Private doctor</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Qualified doctor</labl>
  </catgry>
  <catgry>
    <catValu>2220</catValu>
    <labl>Traditional doctor</labl>
  </catgry>
  <catgry>
    <catValu>2230</catValu>
    <labl>Doctor/birth attendant</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Private pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>2310</catValu>
    <labl>Private pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>2320</catValu>
    <labl>Private dispensary</labl>
  </catgry>
  <catgry>
    <catValu>2400</catValu>
    <labl>Private family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>2500</catValu>
    <labl>Private outreach</labl>
  </catgry>
  <catgry>
    <catValu>2510</catValu>
    <labl>Private mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>2520</catValu>
    <labl>Private health worker</labl>
  </catgry>
  <catgry>
    <catValu>2521</catValu>
    <labl>Fieldworker</labl>
  </catgry>
  <catgry>
    <catValu>2522</catValu>
    <labl>Community-based distribution agent (CBDA)</labl>
  </catgry>
  <catgry>
    <catValu>2523</catValu>
    <labl>Nurse</labl>
  </catgry>
  <catgry>
    <catValu>2524</catValu>
    <labl>Paramedic</labl>
  </catgry>
  <catgry>
    <catValu>2526</catValu>
    <labl>Community/village health worker</labl>
  </catgry>
  <catgry>
    <catValu>2527</catValu>
    <labl>Midwife</labl>
  </catgry>
  <catgry>
    <catValu>2600</catValu>
    <labl>Private health center</labl>
  </catgry>
  <catgry>
    <catValu>2610</catValu>
    <labl>VCT center</labl>
  </catgry>
  <catgry>
    <catValu>2700</catValu>
    <labl>Private maternity home</labl>
  </catgry>
  <catgry>
    <catValu>2900</catValu>
    <labl>Other private medical sector</labl>
  </catgry>
  <catgry>
    <catValu>2901</catValu>
    <labl>Care room</labl>
  </catgry>
  <catgry>
    <catValu>2902</catValu>
    <labl>Tent</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>NGO FACILITY</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>NGO health facility</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Static clinic</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Satellite clinic</labl>
  </catgry>
  <catgry>
    <catValu>3130</catValu>
    <labl>Community-based outlet</labl>
  </catgry>
  <catgry>
    <catValu>3140</catValu>
    <labl>UN Relief and Works Agency (UNRWA)</labl>
  </catgry>
  <catgry>
    <catValu>3150</catValu>
    <labl>International Rescue Committee (IRC)</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>NGO health worker</labl>
  </catgry>
  <catgry>
    <catValu>3210</catValu>
    <labl>Depot holder</labl>
  </catgry>
  <catgry>
    <catValu>3220</catValu>
    <labl>Fieldworker</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Country-specific NGOs</labl>
  </catgry>
  <catgry>
    <catValu>3301</catValu>
    <labl>AMO Congo</labl>
  </catgry>
  <catgry>
    <catValu>3302</catValu>
    <labl>Egypt family planning association (EFPA)</labl>
  </catgry>
  <catgry>
    <catValu>3303</catValu>
    <labl>CSI project</labl>
  </catgry>
  <catgry>
    <catValu>3304</catValu>
    <labl>Family Guidance Association of Ethiopia (FGAE)</labl>
  </catgry>
  <catgry>
    <catValu>3305</catValu>
    <labl>BLM</labl>
  </catgry>
  <catgry>
    <catValu>3306</catValu>
    <labl>MACRO</labl>
  </catgry>
  <catgry>
    <catValu>3307</catValu>
    <labl>Marie Stopes</labl>
  </catgry>
  <catgry>
    <catValu>3308</catValu>
    <labl>Red Cross Society</labl>
  </catgry>
  <catgry>
    <catValu>3309</catValu>
    <labl>AFGA</labl>
  </catgry>
  <catgry>
    <catValu>3310</catValu>
    <labl>Family Planning Association of Nepal (FPAN)</labl>
  </catgry>
  <catgry>
    <catValu>3311</catValu>
    <labl>Institute for Family Health (IFH)</labl>
  </catgry>
  <catgry>
    <catValu>3900</catValu>
    <labl>Other NGO facility</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>RELIGIOUS/MISSION</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>Religious hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>4110</catValu>
    <labl>Religious hospital</labl>
  </catgry>
  <catgry>
    <catValu>4111</catValu>
    <labl>Religious referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>4112</catValu>
    <labl>Religious district hospital</labl>
  </catgry>
  <catgry>
    <catValu>4120</catValu>
    <labl>Religious clinic</labl>
  </catgry>
  <catgry>
    <catValu>4200</catValu>
    <labl>Religious health center/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>4210</catValu>
    <labl>Religious health center</labl>
  </catgry>
  <catgry>
    <catValu>4211</catValu>
    <labl>Mosque health center</labl>
  </catgry>
  <catgry>
    <catValu>4212</catValu>
    <labl>Church health center</labl>
  </catgry>
  <catgry>
    <catValu>4220</catValu>
    <labl>Religious dispensary</labl>
  </catgry>
  <catgry>
    <catValu>4300</catValu>
    <labl>Religious mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>4400</catValu>
    <labl>Religious door-to-door</labl>
  </catgry>
  <catgry>
    <catValu>4900</catValu>
    <labl>Other religious</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Shop/market</labl>
  </catgry>
  <catgry>
    <catValu>5110</catValu>
    <labl>Shop</labl>
  </catgry>
  <catgry>
    <catValu>5111</catValu>
    <labl>General dealer</labl>
  </catgry>
  <catgry>
    <catValu>5112</catValu>
    <labl>Supermarket/tuck shop</labl>
  </catgry>
  <catgry>
    <catValu>5113</catValu>
    <labl>Service station</labl>
  </catgry>
  <catgry>
    <catValu>5120</catValu>
    <labl>Market</labl>
  </catgry>
  <catgry>
    <catValu>5130</catValu>
    <labl>Kiosk</labl>
  </catgry>
  <catgry>
    <catValu>5140</catValu>
    <labl>Gas station</labl>
  </catgry>
  <catgry>
    <catValu>5190</catValu>
    <labl>Other retail</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Relative/friend</labl>
  </catgry>
  <catgry>
    <catValu>5210</catValu>
    <labl>Partner</labl>
  </catgry>
  <catgry>
    <catValu>5300</catValu>
    <labl>Church/mosque/temple</labl>
  </catgry>
  <catgry>
    <catValu>5400</catValu>
    <labl>Bar/nightclub/hotel</labl>
  </catgry>
  <catgry>
    <catValu>5410</catValu>
    <labl>Bar/nightclub</labl>
  </catgry>
  <catgry>
    <catValu>5420</catValu>
    <labl>Hotel</labl>
  </catgry>
  <catgry>
    <catValu>5500</catValu>
    <labl>Other institutions</labl>
  </catgry>
  <catgry>
    <catValu>5510</catValu>
    <labl>Youth center</labl>
  </catgry>
  <catgry>
    <catValu>5520</catValu>
    <labl>Workplace</labl>
  </catgry>
  <catgry>
    <catValu>5521</catValu>
    <labl>Respondent's workplace</labl>
  </catgry>
  <catgry>
    <catValu>5522</catValu>
    <labl>Partner's workplace</labl>
  </catgry>
  <catgry>
    <catValu>5530</catValu>
    <labl>School</labl>
  </catgry>
  <catgry>
    <catValu>5600</catValu>
    <labl>Traditional practitioner</labl>
  </catgry>
  <catgry>
    <catValu>5610</catValu>
    <labl>Traditional birth attendant (TBA)</labl>
  </catgry>
  <catgry>
    <catValu>5620</catValu>
    <labl>Vaidya/hakim/homeopath</labl>
  </catgry>
  <catgry>
    <catValu>5700</catValu>
    <labl>Informal channels</labl>
  </catgry>
  <catgry>
    <catValu>5710</catValu>
    <labl>Drug vendor</labl>
  </catgry>
  <catgry>
    <catValu>9992</catValu>
    <labl>Not asked</labl>
  </catgry>
  <catgry>
    <catValu>9993</catValu>
    <labl>Non-user: Knows source</labl>
  </catgry>
  <catgry>
    <catValu>9994</catValu>
    <labl>Multiple responses given</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOANYSRC (V379) reports the source where the respondent knows contraceptives can be obtained. This variable is constructed from a series of questions. 

Because the questions used to construct this variable changed slightly across phases, IPUMS-DHS users are encouraged to review the Comparability tab.

The related variable FPKNOANYSRCS (V380) reports known sources for contraceptives, in standardized categories.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPKNOANYSRCS" name="C_FPKNOANYSRCS" files="C" intrvl="discrete">
  <labl>Known source for FP, standardized</labl>
  <imputation>Known source for FP, standardized</imputation>
  <security>Known source for FP, standardized</security>
  <embargo>Known source for FP, standardized</embargo>
  <respUnit>Known source for FP, standardized</respUnit>
  <qstn>
    <qstnLit>332) Do you know of a place where you can obtain a method of family planning?

YES 1
NO 2 (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Government clinic/pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Government home/community delivery</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>NGO</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Private clinic/delivery</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Private pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Church, shop, friends</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOANYSRCS (V380) reports the source from which the woman knows contraceptives can be obtained. This variable is constructed from a series of questions, and answers were recorded using standard responses and codes that are consistent across countries and phases. 

Because the questions used to construct this variable changed slightly across phases, IPUMS-DHS users are encouraged to review the Comparability tab.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPTYPNOW" name="C_FPTYPNOW" files="C" intrvl="discrete">
  <labl>Current FP use by method type (folk, traditional, modern)</labl>
  <imputation>Current FP use by method type (folk, traditional, modern)</imputation>
  <security>Current FP use by method type (folk, traditional, modern)</security>
  <embargo>Current FP use by method type (folk, traditional, modern)</embargo>
  <respUnit>Current FP use by method type (folk, traditional, modern)</respUnit>
  <qstn>
    <qstnLit>312) What method are you using?

312A) CIRCLE '06' FOR FEMALE STERILIZATION

PILL 01
IUD 02 (GO TO 318)
INJECTIONS 03 (GO TO 318)
DIAPHRAGM/FOAM/GEL 04 (GO TO 318)
CONDOM 05 (GO TO 318)
FEMALE STERILIZATION 06 (GO TO 318)
MALE STERILIZATION 07(GO TO 318)
PERIODIC ABSTINENCE 08 (GO TO 323)
WITHDRAWAL 09 (GO TO 323)
GRIS-GRIS 10 (GO TO 323)
OTHER (SPECIFY): ___ 11 (GO TO 323)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No method</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Folkloric or traditional method</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPNOW (V313) indicates whether the woman is currently using a modern, traditional, or folkloric method of contraception.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

In the DHS, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPUSPATRN" name="C_FPUSPATRN" files="C" intrvl="discrete">
  <labl>Pattern of use of contraceptive method</labl>
  <imputation>Pattern of use of contraceptive method</imputation>
  <security>Pattern of use of contraceptive method</security>
  <embargo>Pattern of use of contraceptive method</embargo>
  <respUnit>Pattern of use of contraceptive method</respUnit>
  <qstn>
    <qstnLit>311) Are you currently doing something or using a method to avoid pregnancy?

YES 1
NO 2 (GO TO 326)</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Currently using</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Ever used, but not currently using</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Used since last birth</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Used before last birth</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Never used</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPUSPATRN (V361) reports the woman's pattern of contraceptive use by indicating whether she is currently using, has used in the past, or has never used contraception.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPMETHNOW" name="C_FPMETHNOW" files="C" intrvl="discrete">
  <labl>Current method of FP</labl>
  <imputation>Current method of FP</imputation>
  <security>Current method of FP</security>
  <embargo>Current method of FP</embargo>
  <respUnit>Current method of FP</respUnit>
  <qstn>
    <qstnLit>312) What method are you using?

312A) CIRCLE '06' FOR FEMALE STERILIZATION

PILL 01
IUD 02 (GO TO 318)
INJECTIONS 03 (GO TO 318)
DIAPHRAGM/FOAM/GEL 04 (GO TO 318)
CONDOM 05 (GO TO 318)
FEMALE STERILIZATION 06 (GO TO 318)
MALE STERILIZATION 07(GO TO 318)
PERIODIC ABSTINENCE 08 (GO TO 323)
WITHDRAWAL 09 (GO TO 323)
GRIS-GRIS 10 (GO TO 323)
OTHER (SPECIFY): ___ 11 (GO TO 323)</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
    <labl>Not using</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>MODERN METHODS</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>Pill</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>IUD</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>Norplant/Implants</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>Condom</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>Female Condom</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>Female Sterilization</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>Male Sterilization</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>Injections</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>Injection (3 monthly)</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>Injection (monthly)</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Diaphragm/Foam/Jelly</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>Diaphragm</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>Diaphragm/Foam</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>Diaphragm/Jelly</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>Foam or Jelly</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>Foaming tablets</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>Vaginal methods</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>Lactational amenorrhea (LAM)</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>Prolonged breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>Emergency contraception</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>Other modern method</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>Contraceptive patch</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>TRADITIONAL METHODS</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Abstinence or periodic abstinence</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>Periodic abstinence</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>Cycle Beads/Standard days method</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>Abstinence</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>Mucus method</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>Natural family planning, unspecified</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>Withdrawal</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>Other traditional/folkloric</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>Herbs/Plants</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>Gris-Gris/Amulet</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>Astrology</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>Strings</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>OTHER METHOD, UNSPECIFIED</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>Other specific method 1</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>Other specific method 2</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>Other specific method 3</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>Other specific method 4</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPMETHNOW (V312) reports the contraceptive method the woman is currently using.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

Answers are grouped under the broad categories of "modern methods," "traditional methods," and "other methods," each with a different first digit. Specific methods are distinguished by the second and third digits. See FPEVUSE for more information on broad categories of contraception.

Closely related responses, such as various groupings of diaphragm/foam/jelly, share the first 2 digits in common, while the third digit distinguishes the exact response category.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPCURNOMO" name="C_FPCURNOMO" files="C" intrvl="discrete">
  <labl>Months of use of current family planning method</labl>
  <imputation>Months of use of current family planning method</imputation>
  <security>Months of use of current family planning method</security>
  <embargo>Months of use of current family planning method</embargo>
  <respUnit>Months of use of current family planning method</respUnit>
  <qstn>
    <qstnLit>323) For how many months have you been using (CURRENT METHOD) continuously?

IF LESS THAN A MONTH, RECORD '00'.

MONTHS: ___
8 YEARS OR MORE 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>001</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>002</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>003</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>004</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>005</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>006</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>007</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>008</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>009</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>010</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>011</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>012</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>013</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>014</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>015</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>016</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>017</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>018</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>019</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>020</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>021</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>022</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>023</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>024</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>025</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>026</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>027</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>028</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>029</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>030</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>031</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>032</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>033</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>034</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>035</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>036</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>037</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>038</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>039</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>040</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>041</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>042</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>043</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>044</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>045</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>046</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>047</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>048</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>049</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>050</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>051</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>052</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>053</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>054</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>055</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>056</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>057</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>058</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>059</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>060</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>061</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>062</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>063</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>064</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>065</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>066</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>067</catValu>
    <labl>67 months</labl>
  </catgry>
  <catgry>
    <catValu>068</catValu>
    <labl>68 months</labl>
  </catgry>
  <catgry>
    <catValu>069</catValu>
    <labl>69 months</labl>
  </catgry>
  <catgry>
    <catValu>070</catValu>
    <labl>70 months</labl>
  </catgry>
  <catgry>
    <catValu>071</catValu>
    <labl>71 months</labl>
  </catgry>
  <catgry>
    <catValu>072</catValu>
    <labl>72 months</labl>
  </catgry>
  <catgry>
    <catValu>073</catValu>
    <labl>73 months</labl>
  </catgry>
  <catgry>
    <catValu>074</catValu>
    <labl>74 months</labl>
  </catgry>
  <catgry>
    <catValu>075</catValu>
    <labl>75 months</labl>
  </catgry>
  <catgry>
    <catValu>076</catValu>
    <labl>76 months</labl>
  </catgry>
  <catgry>
    <catValu>077</catValu>
    <labl>77 months</labl>
  </catgry>
  <catgry>
    <catValu>078</catValu>
    <labl>78 months</labl>
  </catgry>
  <catgry>
    <catValu>079</catValu>
    <labl>79 months</labl>
  </catgry>
  <catgry>
    <catValu>080</catValu>
    <labl>80 months</labl>
  </catgry>
  <catgry>
    <catValu>081</catValu>
    <labl>81 months</labl>
  </catgry>
  <catgry>
    <catValu>082</catValu>
    <labl>82 months</labl>
  </catgry>
  <catgry>
    <catValu>083</catValu>
    <labl>83 months</labl>
  </catgry>
  <catgry>
    <catValu>084</catValu>
    <labl>84 months</labl>
  </catgry>
  <catgry>
    <catValu>085</catValu>
    <labl>85 months</labl>
  </catgry>
  <catgry>
    <catValu>086</catValu>
    <labl>86 months</labl>
  </catgry>
  <catgry>
    <catValu>087</catValu>
    <labl>87 months</labl>
  </catgry>
  <catgry>
    <catValu>088</catValu>
    <labl>88 months</labl>
  </catgry>
  <catgry>
    <catValu>089</catValu>
    <labl>89 months</labl>
  </catgry>
  <catgry>
    <catValu>090</catValu>
    <labl>90 months</labl>
  </catgry>
  <catgry>
    <catValu>091</catValu>
    <labl>91 months</labl>
  </catgry>
  <catgry>
    <catValu>092</catValu>
    <labl>92 months</labl>
  </catgry>
  <catgry>
    <catValu>093</catValu>
    <labl>93 months</labl>
  </catgry>
  <catgry>
    <catValu>094</catValu>
    <labl>94 months</labl>
  </catgry>
  <catgry>
    <catValu>095</catValu>
    <labl>95 months</labl>
  </catgry>
  <catgry>
    <catValu>096</catValu>
    <labl>96 or more months</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>All calendar years</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent response</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are currently using a contraceptive method, FPCURNOMO (V337) reports the number of months they have been continuously using their current method.

Starting in Phase II, there are differences in the way these data are reported between Model "A" and Model "B" countries, due to the inclusion of a detailed calendar of events in the five years preceding the interview in Model "A" questionnaires. For Model "B" questionnaires, any response greater than 8 years is topcoded at "96." However, for Model "A" questionnaires, the maximum duration of use that could be recorded is the entire length of the calendar (i.e., 5 years).</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPLASTSRCD" name="C_FPLASTSRCD" files="C" intrvl="discrete">
  <labl>Last source for FP for current users, detailed</labl>
  <imputation>Last source for FP for current users, detailed</imputation>
  <security>Last source for FP for current users, detailed</security>
  <embargo>Last source for FP for current users, detailed</embargo>
  <respUnit>Last source for FP for current users, detailed</respUnit>
  <qstn>
    <qstnLit>318) CHECK 312:

HE/SHE IS STERILIZED: Where did the sterilization take place?

USES ANOTHER METHOD: Where did you obtain (METHOD) the last time?

NAME OF PLACE: ___

PUBLIC SECTOR

HOSPITAL 11
MEDICAL CENTER 12
FAMILY HEALTH CENTER 13
MOTHER AND CHILD CARE CENTER 14
DISPENSARY 15
MATERNITY WARD 16
PEOPLE'S PHARMACY 17

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE 21
CLINIC/HOSPITAL 22
PHARMACY 23

OTHER PRIVATE SECTOR

RELATIVE 31 (GO TO 321)
NEIGHBOR 32 (GO TO 321)

OTHER (SPECIFY): ___ 41(GO TO 321)
DON'T KNOW 98 (GO TO 321)</qstnLit>
  </qstn>
  <catgry>
    <catValu>6903</catValu>
    <labl>Community center</labl>
  </catgry>
  <catgry>
    <catValu>3306</catValu>
    <labl>Institute for Family Health (IFH)</labl>
  </catgry>
  <catgry>
    <catValu>3180</catValu>
    <labl>International Rescue Committee (IRC)</labl>
  </catgry>
  <catgry>
    <catValu>0000</catValu>
    <labl>NO ONE</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>PUBLIC SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Government hospital</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>National hospital</labl>
  </catgry>
  <catgry>
    <catValu>1111</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>1112</catValu>
    <labl>National/central hospital</labl>
  </catgry>
  <catgry>
    <catValu>1113</catValu>
    <labl>Military hospital</labl>
  </catgry>
  <catgry>
    <catValu>1114</catValu>
    <labl>Day hospital</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>Provincial/regional hospital</labl>
  </catgry>
  <catgry>
    <catValu>1130</catValu>
    <labl>Urban hospital</labl>
  </catgry>
  <catgry>
    <catValu>1140</catValu>
    <labl>District/rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>1141</catValu>
    <labl>District hospital</labl>
  </catgry>
  <catgry>
    <catValu>1142</catValu>
    <labl>Rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>1150</catValu>
    <labl>Category I hospital</labl>
  </catgry>
  <catgry>
    <catValu>1160</catValu>
    <labl>Category II hospital</labl>
  </catgry>
  <catgry>
    <catValu>1170</catValu>
    <labl>University/teaching hospital</labl>
  </catgry>
  <catgry>
    <catValu>1171</catValu>
    <labl>University hospital</labl>
  </catgry>
  <catgry>
    <catValu>1172</catValu>
    <labl>Teaching hospital</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Government health center</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Referral health center</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Community health center</labl>
  </catgry>
  <catgry>
    <catValu>1230</catValu>
    <labl>Urban health center</labl>
  </catgry>
  <catgry>
    <catValu>1240</catValu>
    <labl>Rural health center</labl>
  </catgry>
  <catgry>
    <catValu>1250</catValu>
    <labl>Basic health center</labl>
  </catgry>
  <catgry>
    <catValu>1260</catValu>
    <labl>Integrated health center</labl>
  </catgry>
  <catgry>
    <catValu>1270</catValu>
    <labl>Primary health center</labl>
  </catgry>
  <catgry>
    <catValu>1280</catValu>
    <labl>Family welfare center</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>Government family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>1310</catValu>
    <labl>Stand-alone family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>1320</catValu>
    <labl>Mobile family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>1330</catValu>
    <labl>Family planning clinic CBD</labl>
  </catgry>
  <catgry>
    <catValu>1400</catValu>
    <labl>Government outreach</labl>
  </catgry>
  <catgry>
    <catValu>1410</catValu>
    <labl>Government health post</labl>
  </catgry>
  <catgry>
    <catValu>1411</catValu>
    <labl>Village health post</labl>
  </catgry>
  <catgry>
    <catValu>1412</catValu>
    <labl>Sub-center</labl>
  </catgry>
  <catgry>
    <catValu>1413</catValu>
    <labl>Sub-health post</labl>
  </catgry>
  <catgry>
    <catValu>1420</catValu>
    <labl>Government mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>1421</catValu>
    <labl>Mobile PHC clinic</labl>
  </catgry>
  <catgry>
    <catValu>1430</catValu>
    <labl>Government health professional</labl>
  </catgry>
  <catgry>
    <catValu>1431</catValu>
    <labl>Doctor</labl>
  </catgry>
  <catgry>
    <catValu>1432</catValu>
    <labl>Nurse</labl>
  </catgry>
  <catgry>
    <catValu>1433</catValu>
    <labl>Paramedic</labl>
  </catgry>
  <catgry>
    <catValu>1440</catValu>
    <labl>Government health worker</labl>
  </catgry>
  <catgry>
    <catValu>1434</catValu>
    <labl>Community-based distributor (CBD)</labl>
  </catgry>
  <catgry>
    <catValu>1435</catValu>
    <labl>Health surveillance assistant (HSA)</labl>
  </catgry>
  <catgry>
    <catValu>1436</catValu>
    <labl>Male mobilizer</labl>
  </catgry>
  <catgry>
    <catValu>1437</catValu>
    <labl>Accredited social health activist (ASHA)</labl>
  </catgry>
  <catgry>
    <catValu>1438</catValu>
    <labl>Vaidya/hakim/homeopath</labl>
  </catgry>
  <catgry>
    <catValu>1450</catValu>
    <labl>Government outreach clinic</labl>
  </catgry>
  <catgry>
    <catValu>1451</catValu>
    <labl>Primary health care outreach clinic</labl>
  </catgry>
  <catgry>
    <catValu>1452</catValu>
    <labl>Satellite clinic/EPI outreach</labl>
  </catgry>
  <catgry>
    <catValu>1453</catValu>
    <labl>Community clinic</labl>
  </catgry>
  <catgry>
    <catValu>1454</catValu>
    <labl>Rural/municipal clinic</labl>
  </catgry>
  <catgry>
    <catValu>1460</catValu>
    <labl>Camp</labl>
  </catgry>
  <catgry>
    <catValu>1470</catValu>
    <labl>Household visit</labl>
  </catgry>
  <catgry>
    <catValu>1500</catValu>
    <labl>Government maternity home</labl>
  </catgry>
  <catgry>
    <catValu>1510</catValu>
    <labl>Maternal and child health (MCH) center</labl>
  </catgry>
  <catgry>
    <catValu>1520</catValu>
    <labl>Rural maternity</labl>
  </catgry>
  <catgry>
    <catValu>1530</catValu>
    <labl>Anganwadi/ICDS center</labl>
  </catgry>
  <catgry>
    <catValu>1600</catValu>
    <labl>Government pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>1610</catValu>
    <labl>Government pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>1611</catValu>
    <labl>Community pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>1620</catValu>
    <labl>Government dispensary</labl>
  </catgry>
  <catgry>
    <catValu>1900</catValu>
    <labl>Other public</labl>
  </catgry>
  <catgry>
    <catValu>1901</catValu>
    <labl>Clinic</labl>
  </catgry>
  <catgry>
    <catValu>1902</catValu>
    <labl>Curative care organization</labl>
  </catgry>
  <catgry>
    <catValu>1903</catValu>
    <labl>Health home</labl>
  </catgry>
  <catgry>
    <catValu>1904</catValu>
    <labl>Health office</labl>
  </catgry>
  <catgry>
    <catValu>1905</catValu>
    <labl>Health insurance organization</labl>
  </catgry>
  <catgry>
    <catValu>1906</catValu>
    <labl>Parastatal health facility</labl>
  </catgry>
  <catgry>
    <catValu>1907</catValu>
    <labl>Youth center</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>PRIVATE MEDICAL SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Private hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Private hospital</labl>
  </catgry>
  <catgry>
    <catValu>2111</catValu>
    <labl>Private specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>2112</catValu>
    <labl>Private district hospital</labl>
  </catgry>
  <catgry>
    <catValu>2113</catValu>
    <labl>Private university hospital</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>Private clinic</labl>
  </catgry>
  <catgry>
    <catValu>2121</catValu>
    <labl>Private polyclinic</labl>
  </catgry>
  <catgry>
    <catValu>2122</catValu>
    <labl>Private clinic</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Private pharmacy/dispensary/drug store</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Private pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>2220</catValu>
    <labl>Private dispensary</labl>
  </catgry>
  <catgry>
    <catValu>2230</catValu>
    <labl>Private chemist/drug store</labl>
  </catgry>
  <catgry>
    <catValu>2231</catValu>
    <labl>Private chemist</labl>
  </catgry>
  <catgry>
    <catValu>2232</catValu>
    <labl>Private drug store</labl>
  </catgry>
  <catgry>
    <catValu>2240</catValu>
    <labl>Private mobile drug vendor</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Private doctor's office</labl>
  </catgry>
  <catgry>
    <catValu>2310</catValu>
    <labl>Qualified doctor</labl>
  </catgry>
  <catgry>
    <catValu>2320</catValu>
    <labl>Traditional/unqualified doctor</labl>
  </catgry>
  <catgry>
    <catValu>2330</catValu>
    <labl>Private practice</labl>
  </catgry>
  <catgry>
    <catValu>2331</catValu>
    <labl>Private care room</labl>
  </catgry>
  <catgry>
    <catValu>2332</catValu>
    <labl>Private infirmiry</labl>
  </catgry>
  <catgry>
    <catValu>2400</catValu>
    <labl>Private outreach</labl>
  </catgry>
  <catgry>
    <catValu>2410</catValu>
    <labl>Private mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>2420</catValu>
    <labl>Private health worker</labl>
  </catgry>
  <catgry>
    <catValu>2421</catValu>
    <labl>Private field worker</labl>
  </catgry>
  <catgry>
    <catValu>2422</catValu>
    <labl>Private community/village health worker</labl>
  </catgry>
  <catgry>
    <catValu>2423</catValu>
    <labl>Private community-based distributor</labl>
  </catgry>
  <catgry>
    <catValu>2424</catValu>
    <labl>Private paramedic</labl>
  </catgry>
  <catgry>
    <catValu>2425</catValu>
    <labl>Private hakim/homeopath</labl>
  </catgry>
  <catgry>
    <catValu>2426</catValu>
    <labl>Private traditional healer</labl>
  </catgry>
  <catgry>
    <catValu>2427</catValu>
    <labl>Private traditional birth attendant (TBA)</labl>
  </catgry>
  <catgry>
    <catValu>2428</catValu>
    <labl>Private nurse</labl>
  </catgry>
  <catgry>
    <catValu>2500</catValu>
    <labl>Private health center</labl>
  </catgry>
  <catgry>
    <catValu>2600</catValu>
    <labl>Private family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>2610</catValu>
    <labl>Injectables outlet</labl>
  </catgry>
  <catgry>
    <catValu>2700</catValu>
    <labl>Private maternity home</labl>
  </catgry>
  <catgry>
    <catValu>2900</catValu>
    <labl>Other private medical</labl>
  </catgry>
  <catgry>
    <catValu>2901</catValu>
    <labl>Tent</labl>
  </catgry>
  <catgry>
    <catValu>2902</catValu>
    <labl>VCT center</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>NGO SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>NGO health facility</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Static clinic</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Satellite clinic</labl>
  </catgry>
  <catgry>
    <catValu>3130</catValu>
    <labl>Marie Stopes facility</labl>
  </catgry>
  <catgry>
    <catValu>3131</catValu>
    <labl>Banja la Mtsogolo (BLM)</labl>
  </catgry>
  <catgry>
    <catValu>3140</catValu>
    <labl>Red Cross facility</labl>
  </catgry>
  <catgry>
    <catValu>3150</catValu>
    <labl>UN Relief and Works Agency facility</labl>
  </catgry>
  <catgry>
    <catValu>3160</catValu>
    <labl>Adventist Development and Relief Agency (ADRA)</labl>
  </catgry>
  <catgry>
    <catValu>3170</catValu>
    <labl>Population Services International (PSI)</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>NGO health worker</labl>
  </catgry>
  <catgry>
    <catValu>3210</catValu>
    <labl>Depot holder</labl>
  </catgry>
  <catgry>
    <catValu>3220</catValu>
    <labl>Field worker</labl>
  </catgry>
  <catgry>
    <catValu>3230</catValu>
    <labl>Community-based distributor</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Country-specific NGO</labl>
  </catgry>
  <catgry>
    <catValu>3301</catValu>
    <labl>Amo-Congo</labl>
  </catgry>
  <catgry>
    <catValu>3302</catValu>
    <labl>Clinical Services Improvement (CSI)</labl>
  </catgry>
  <catgry>
    <catValu>3303</catValu>
    <labl>Malawi AIDS Counselling and Resource Organization (MACRO)</labl>
  </catgry>
  <catgry>
    <catValu>3304</catValu>
    <labl>Myanmar Medical Association (MMA)</labl>
  </catgry>
  <catgry>
    <catValu>3305</catValu>
    <labl>United Mission to Nepal (UMN)</labl>
  </catgry>
  <catgry>
    <catValu>3900</catValu>
    <labl>Other NGO</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>RELIGIOUS/MISSION</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>Religious hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>4110</catValu>
    <labl>Religious hospital</labl>
  </catgry>
  <catgry>
    <catValu>4111</catValu>
    <labl>Religious referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>4112</catValu>
    <labl>Religious district hospital</labl>
  </catgry>
  <catgry>
    <catValu>4120</catValu>
    <labl>Religious clinic</labl>
  </catgry>
  <catgry>
    <catValu>4200</catValu>
    <labl>Religious health center/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>4210</catValu>
    <labl>Religious health center</labl>
  </catgry>
  <catgry>
    <catValu>4211</catValu>
    <labl>Mosque health center</labl>
  </catgry>
  <catgry>
    <catValu>4212</catValu>
    <labl>Church health center</labl>
  </catgry>
  <catgry>
    <catValu>4220</catValu>
    <labl>Religious dispensary</labl>
  </catgry>
  <catgry>
    <catValu>4300</catValu>
    <labl>Religious outreach</labl>
  </catgry>
  <catgry>
    <catValu>4310</catValu>
    <labl>Religious health post</labl>
  </catgry>
  <catgry>
    <catValu>4320</catValu>
    <labl>Religious mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>4330</catValu>
    <labl>Religious health worker</labl>
  </catgry>
  <catgry>
    <catValu>4331</catValu>
    <labl>Religious field worker</labl>
  </catgry>
  <catgry>
    <catValu>4900</catValu>
    <labl>Other religious</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>UNSPECIFIED MEDICAL SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>5110</catValu>
    <labl>Pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>5120</catValu>
    <labl>Dispensary</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Outreach</labl>
  </catgry>
  <catgry>
    <catValu>5210</catValu>
    <labl>Mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>5220</catValu>
    <labl>Health worker</labl>
  </catgry>
  <catgry>
    <catValu>5221</catValu>
    <labl>Field worker</labl>
  </catgry>
  <catgry>
    <catValu>5222</catValu>
    <labl>Traditional healer</labl>
  </catgry>
  <catgry>
    <catValu>5223</catValu>
    <labl>Health educator</labl>
  </catgry>
  <catgry>
    <catValu>5224</catValu>
    <labl>Peer educators</labl>
  </catgry>
  <catgry>
    <catValu>5230</catValu>
    <labl>Outreach clinic</labl>
  </catgry>
  <catgry>
    <catValu>5900</catValu>
    <labl>Other unspecified medical sector</labl>
  </catgry>
  <catgry>
    <catValu>5901</catValu>
    <labl>Media campaign</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>6100</catValu>
    <labl>Shop/market</labl>
  </catgry>
  <catgry>
    <catValu>6110</catValu>
    <labl>Shop</labl>
  </catgry>
  <catgry>
    <catValu>6111</catValu>
    <labl>General dealer</labl>
  </catgry>
  <catgry>
    <catValu>6112</catValu>
    <labl>Supermarket/tuck shop</labl>
  </catgry>
  <catgry>
    <catValu>6113</catValu>
    <labl>Supermarket</labl>
  </catgry>
  <catgry>
    <catValu>6114</catValu>
    <labl>Tuck shop</labl>
  </catgry>
  <catgry>
    <catValu>6120</catValu>
    <labl>Market</labl>
  </catgry>
  <catgry>
    <catValu>6130</catValu>
    <labl>Kiosk</labl>
  </catgry>
  <catgry>
    <catValu>6140</catValu>
    <labl>Gas station</labl>
  </catgry>
  <catgry>
    <catValu>6150</catValu>
    <labl>Other retail</labl>
  </catgry>
  <catgry>
    <catValu>6200</catValu>
    <labl>Church/mosque</labl>
  </catgry>
  <catgry>
    <catValu>6300</catValu>
    <labl>Friend/relative</labl>
  </catgry>
  <catgry>
    <catValu>6310</catValu>
    <labl>Friend</labl>
  </catgry>
  <catgry>
    <catValu>6320</catValu>
    <labl>Relative</labl>
  </catgry>
  <catgry>
    <catValu>6321</catValu>
    <labl>Partner</labl>
  </catgry>
  <catgry>
    <catValu>6400</catValu>
    <labl>Bar/nightclub/hotel</labl>
  </catgry>
  <catgry>
    <catValu>6410</catValu>
    <labl>Bar/nightclub</labl>
  </catgry>
  <catgry>
    <catValu>6411</catValu>
    <labl>Bar</labl>
  </catgry>
  <catgry>
    <catValu>6420</catValu>
    <labl>Hotel</labl>
  </catgry>
  <catgry>
    <catValu>6500</catValu>
    <labl>Workplace</labl>
  </catgry>
  <catgry>
    <catValu>6510</catValu>
    <labl>Respondent's workplace</labl>
  </catgry>
  <catgry>
    <catValu>6520</catValu>
    <labl>Partner's workplace</labl>
  </catgry>
  <catgry>
    <catValu>6600</catValu>
    <labl>Informal channels</labl>
  </catgry>
  <catgry>
    <catValu>6610</catValu>
    <labl>Drug vendor</labl>
  </catgry>
  <catgry>
    <catValu>6620</catValu>
    <labl>Support group</labl>
  </catgry>
  <catgry>
    <catValu>6630</catValu>
    <labl>Women's sittings</labl>
  </catgry>
  <catgry>
    <catValu>6700</catValu>
    <labl>Location for adolescents</labl>
  </catgry>
  <catgry>
    <catValu>6710</catValu>
    <labl>Youth center</labl>
  </catgry>
  <catgry>
    <catValu>6720</catValu>
    <labl>School</labl>
  </catgry>
  <catgry>
    <catValu>6900</catValu>
    <labl>Other facility</labl>
  </catgry>
  <catgry>
    <catValu>6901</catValu>
    <labl>Refugee camp</labl>
  </catgry>
  <catgry>
    <catValu>6902</catValu>
    <labl>Charity/foundation</labl>
  </catgry>
  <catgry>
    <catValu>9994</catValu>
    <labl>Abroad</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are currently using a modern method of contraception, FPLASTSRCD (V326) reports the type of facility that was the source of the last contraceptive method used by the woman. Response categories vary across samples. See Comparability.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPLASTSRCS" name="C_FPLASTSRCS" files="C" intrvl="discrete">
  <labl>Last source for FP for current users, standardized</labl>
  <imputation>Last source for FP for current users, standardized</imputation>
  <security>Last source for FP for current users, standardized</security>
  <embargo>Last source for FP for current users, standardized</embargo>
  <respUnit>Last source for FP for current users, standardized</respUnit>
  <qstn>
    <qstnLit>318) CHECK 312:

HE/SHE IS STERILIZED: Where did the sterilization take place?

USES ANOTHER METHOD: Where did you obtain (METHOD) the last time?

NAME OF PLACE: ___

PUBLIC SECTOR

HOSPITAL 11
MEDICAL CENTER 12
FAMILY HEALTH CENTER 13
MOTHER AND CHILD CARE CENTER 14
DISPENSARY 15
MATERNITY WARD 16
PEOPLE'S PHARMACY 17

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE 21
CLINIC/HOSPITAL 22
PHARMACY 23

OTHER PRIVATE SECTOR

RELATIVE 31 (GO TO 321)
NEIGHBOR 32 (GO TO 321)

OTHER (SPECIFY): ___ 41(GO TO 321)
DON'T KNOW 98 (GO TO 321)</qstnLit>
  </qstn>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Church, Shop, friends, books</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Private Pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Private Clin/Deliv</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>NGO</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Govt Home/Comm delivery</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Govt Clinic/Pharm</labl>
  </catgry>
  <txt>For women using a modern method of contraception, FPLASTSRCS (V327) reports the type of facility that was the source of the last contraceptive method used by the woman. This variable was constructed by recoding country-specific responses into a few standard categories that are consistent across samples.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPSRCEASE" name="C_FPSRCEASE" files="C" intrvl="discrete">
  <labl>Easy or difficult to get to FP source</labl>
  <imputation>Easy or difficult to get to FP source</imputation>
  <security>Easy or difficult to get to FP source</security>
  <embargo>Easy or difficult to get to FP source</embargo>
  <respUnit>Easy or difficult to get to FP source</respUnit>
  <qstn>
    <qstnLit>335) Is it easy or difficult to get there?

EASY 1
DIFFICULT 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Easy</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Difficult</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (Not in universe)</labl>
  </catgry>
  <txt>For women who know of a source where family planning can be obtained, FPSRCEASE (V383) indicates whether it is easy or difficult to get there.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPSRCTIME" name="C_FPSRCTIME" files="C" intrvl="discrete">
  <labl>Time to get to FP source</labl>
  <imputation>Time to get to FP source</imputation>
  <security>Time to get to FP source</security>
  <embargo>Time to get to FP source</embargo>
  <respUnit>Time to get to FP source</respUnit>
  <qstn>
    <qstnLit>334) How long does it take to travel to your home to this place?
IF LESS THAN 2 HOURS, RECORD MINUTES. OTHERWISE, RECORD HOURS.

MINUTES: ___ 1
HOURS: ___ 2
DON'T KNOW 9998</qstnLit>
  </qstn>
  <catgry>
    <catValu>1000</catValu>
    <labl>Less than 1 minute</labl>
  </catgry>
  <catgry>
    <catValu>1001</catValu>
    <labl>1 minute</labl>
  </catgry>
  <catgry>
    <catValu>1002</catValu>
    <labl>2 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1003</catValu>
    <labl>3 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1004</catValu>
    <labl>4 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1005</catValu>
    <labl>5 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1006</catValu>
    <labl>6 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1007</catValu>
    <labl>7 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1008</catValu>
    <labl>8 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1009</catValu>
    <labl>9 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1010</catValu>
    <labl>10 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1011</catValu>
    <labl>11 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1012</catValu>
    <labl>12 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1013</catValu>
    <labl>13 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1014</catValu>
    <labl>14 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1015</catValu>
    <labl>15 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1016</catValu>
    <labl>16 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1017</catValu>
    <labl>17 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1018</catValu>
    <labl>18 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1019</catValu>
    <labl>19 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1020</catValu>
    <labl>20 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1021</catValu>
    <labl>21 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1022</catValu>
    <labl>22 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1023</catValu>
    <labl>23 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1024</catValu>
    <labl>24 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1025</catValu>
    <labl>25 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1026</catValu>
    <labl>26 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1027</catValu>
    <labl>27 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1028</catValu>
    <labl>28 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1029</catValu>
    <labl>29 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1030</catValu>
    <labl>30 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1031</catValu>
    <labl>31 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1032</catValu>
    <labl>32 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1033</catValu>
    <labl>33 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1034</catValu>
    <labl>34 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1035</catValu>
    <labl>35 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1036</catValu>
    <labl>36 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1037</catValu>
    <labl>37 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1038</catValu>
    <labl>38 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1039</catValu>
    <labl>39 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1040</catValu>
    <labl>40 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1041</catValu>
    <labl>41 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1042</catValu>
    <labl>42 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1043</catValu>
    <labl>43 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1044</catValu>
    <labl>44 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1045</catValu>
    <labl>45 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1046</catValu>
    <labl>46 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1047</catValu>
    <labl>47 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1048</catValu>
    <labl>48 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1049</catValu>
    <labl>49 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1050</catValu>
    <labl>50 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1051</catValu>
    <labl>51 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1052</catValu>
    <labl>52 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1053</catValu>
    <labl>53 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1054</catValu>
    <labl>54 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1055</catValu>
    <labl>55 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1056</catValu>
    <labl>56 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1057</catValu>
    <labl>57 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1058</catValu>
    <labl>58 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1059</catValu>
    <labl>59 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1060</catValu>
    <labl>60 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1061</catValu>
    <labl>61 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1062</catValu>
    <labl>62 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1063</catValu>
    <labl>63 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1064</catValu>
    <labl>64 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1065</catValu>
    <labl>65 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1066</catValu>
    <labl>66 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1067</catValu>
    <labl>67 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1068</catValu>
    <labl>68 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1069</catValu>
    <labl>69 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1070</catValu>
    <labl>70 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1071</catValu>
    <labl>71 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1072</catValu>
    <labl>72 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1073</catValu>
    <labl>73 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1074</catValu>
    <labl>74 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1075</catValu>
    <labl>75 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1076</catValu>
    <labl>76 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1077</catValu>
    <labl>77 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1078</catValu>
    <labl>78 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1079</catValu>
    <labl>79 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1080</catValu>
    <labl>80 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1081</catValu>
    <labl>81 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1082</catValu>
    <labl>82 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1083</catValu>
    <labl>83 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1084</catValu>
    <labl>84 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1085</catValu>
    <labl>85 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1086</catValu>
    <labl>86 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1087</catValu>
    <labl>87 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1088</catValu>
    <labl>88 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1089</catValu>
    <labl>89 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1090</catValu>
    <labl>90 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1091</catValu>
    <labl>91 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1092</catValu>
    <labl>92 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1093</catValu>
    <labl>93 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1094</catValu>
    <labl>94 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1095</catValu>
    <labl>95 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1096</catValu>
    <labl>96 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1097</catValu>
    <labl>97 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1098</catValu>
    <labl>98 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1099</catValu>
    <labl>99 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>100 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1101</catValu>
    <labl>101 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1102</catValu>
    <labl>102 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1103</catValu>
    <labl>103 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1104</catValu>
    <labl>104 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1105</catValu>
    <labl>105 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1106</catValu>
    <labl>106 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1107</catValu>
    <labl>107 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1108</catValu>
    <labl>108 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1109</catValu>
    <labl>109 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>110 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1111</catValu>
    <labl>111 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1112</catValu>
    <labl>112 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1113</catValu>
    <labl>113 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1114</catValu>
    <labl>114 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1115</catValu>
    <labl>115 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1116</catValu>
    <labl>116 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1117</catValu>
    <labl>117 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1118</catValu>
    <labl>118 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1119</catValu>
    <labl>119 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>120 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1121</catValu>
    <labl>121 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1122</catValu>
    <labl>122 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1123</catValu>
    <labl>123 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1124</catValu>
    <labl>124 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1125</catValu>
    <labl>125 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1126</catValu>
    <labl>126 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1127</catValu>
    <labl>127 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1128</catValu>
    <labl>128 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1129</catValu>
    <labl>129 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1130</catValu>
    <labl>130 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1131</catValu>
    <labl>131 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1132</catValu>
    <labl>132 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1133</catValu>
    <labl>133 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1134</catValu>
    <labl>134 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1135</catValu>
    <labl>135 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1136</catValu>
    <labl>136 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1137</catValu>
    <labl>137 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1138</catValu>
    <labl>138 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1139</catValu>
    <labl>139 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1140</catValu>
    <labl>140 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1141</catValu>
    <labl>141 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1142</catValu>
    <labl>142 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1143</catValu>
    <labl>143 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1144</catValu>
    <labl>144 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1145</catValu>
    <labl>145 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1146</catValu>
    <labl>146 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1147</catValu>
    <labl>147 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1148</catValu>
    <labl>148 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1149</catValu>
    <labl>149 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1150</catValu>
    <labl>150 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1151</catValu>
    <labl>151 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1152</catValu>
    <labl>152 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1153</catValu>
    <labl>153 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1154</catValu>
    <labl>154 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1155</catValu>
    <labl>155 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1156</catValu>
    <labl>156 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1157</catValu>
    <labl>157 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1158</catValu>
    <labl>158 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1159</catValu>
    <labl>159 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1160</catValu>
    <labl>160 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1161</catValu>
    <labl>161 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1162</catValu>
    <labl>162 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1163</catValu>
    <labl>163 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1164</catValu>
    <labl>164 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1165</catValu>
    <labl>165 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1166</catValu>
    <labl>166 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1167</catValu>
    <labl>167 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1168</catValu>
    <labl>168 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1169</catValu>
    <labl>169 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1170</catValu>
    <labl>170 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1171</catValu>
    <labl>171 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1172</catValu>
    <labl>172 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1173</catValu>
    <labl>173 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1174</catValu>
    <labl>174 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1175</catValu>
    <labl>175 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1176</catValu>
    <labl>176 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1177</catValu>
    <labl>177 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1178</catValu>
    <labl>178 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1179</catValu>
    <labl>179 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1180</catValu>
    <labl>180 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1181</catValu>
    <labl>181 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1182</catValu>
    <labl>182 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1183</catValu>
    <labl>183 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1184</catValu>
    <labl>184 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1185</catValu>
    <labl>185 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1186</catValu>
    <labl>186 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1187</catValu>
    <labl>187 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1188</catValu>
    <labl>188 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1189</catValu>
    <labl>189 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1190</catValu>
    <labl>190 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1191</catValu>
    <labl>191 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1192</catValu>
    <labl>192 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1193</catValu>
    <labl>193 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1194</catValu>
    <labl>194 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1195</catValu>
    <labl>195 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1196</catValu>
    <labl>196 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1197</catValu>
    <labl>197 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1198</catValu>
    <labl>198 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1199</catValu>
    <labl>199 minutes</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>200 or more minutes</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>Minutes, number missing</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>Less than 1 hour</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>1 hour</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2 hours</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>3 hours</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>4 hours</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>5 hours</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>6 hours</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>7 hours</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>8 hours</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>9 hours</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>10 hours</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>11 hours</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>12 hours</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>13 hours</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>14 hours</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>15 hours</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>16 hours</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>17 hours</labl>
  </catgry>
  <catgry>
    <catValu>2018</catValu>
    <labl>18 hours</labl>
  </catgry>
  <catgry>
    <catValu>2019</catValu>
    <labl>19 hours</labl>
  </catgry>
  <catgry>
    <catValu>2020</catValu>
    <labl>20 hours</labl>
  </catgry>
  <catgry>
    <catValu>2021</catValu>
    <labl>21 hours</labl>
  </catgry>
  <catgry>
    <catValu>2022</catValu>
    <labl>22 hours</labl>
  </catgry>
  <catgry>
    <catValu>2023</catValu>
    <labl>23 hours</labl>
  </catgry>
  <catgry>
    <catValu>2024</catValu>
    <labl>24 hours</labl>
  </catgry>
  <catgry>
    <catValu>2025</catValu>
    <labl>25 hours</labl>
  </catgry>
  <catgry>
    <catValu>2026</catValu>
    <labl>26 hours</labl>
  </catgry>
  <catgry>
    <catValu>2027</catValu>
    <labl>27 hours</labl>
  </catgry>
  <catgry>
    <catValu>2028</catValu>
    <labl>28 hours</labl>
  </catgry>
  <catgry>
    <catValu>2029</catValu>
    <labl>29 hours</labl>
  </catgry>
  <catgry>
    <catValu>2030</catValu>
    <labl>30 hours</labl>
  </catgry>
  <catgry>
    <catValu>2031</catValu>
    <labl>31 hours</labl>
  </catgry>
  <catgry>
    <catValu>2032</catValu>
    <labl>32 hours</labl>
  </catgry>
  <catgry>
    <catValu>2033</catValu>
    <labl>33 hours</labl>
  </catgry>
  <catgry>
    <catValu>2034</catValu>
    <labl>34 hours</labl>
  </catgry>
  <catgry>
    <catValu>2035</catValu>
    <labl>35 hours</labl>
  </catgry>
  <catgry>
    <catValu>2036</catValu>
    <labl>36 hours</labl>
  </catgry>
  <catgry>
    <catValu>2037</catValu>
    <labl>37 hours</labl>
  </catgry>
  <catgry>
    <catValu>2038</catValu>
    <labl>38 hours</labl>
  </catgry>
  <catgry>
    <catValu>2039</catValu>
    <labl>39 hours</labl>
  </catgry>
  <catgry>
    <catValu>2040</catValu>
    <labl>40 hours</labl>
  </catgry>
  <catgry>
    <catValu>2041</catValu>
    <labl>41 hours</labl>
  </catgry>
  <catgry>
    <catValu>2042</catValu>
    <labl>42 hours</labl>
  </catgry>
  <catgry>
    <catValu>2043</catValu>
    <labl>43 hours</labl>
  </catgry>
  <catgry>
    <catValu>2044</catValu>
    <labl>44 hours</labl>
  </catgry>
  <catgry>
    <catValu>2045</catValu>
    <labl>45 hours</labl>
  </catgry>
  <catgry>
    <catValu>2046</catValu>
    <labl>46 hours</labl>
  </catgry>
  <catgry>
    <catValu>2047</catValu>
    <labl>47 hours</labl>
  </catgry>
  <catgry>
    <catValu>2048</catValu>
    <labl>48 hours</labl>
  </catgry>
  <catgry>
    <catValu>2049</catValu>
    <labl>49 hours</labl>
  </catgry>
  <catgry>
    <catValu>2050</catValu>
    <labl>50 hours</labl>
  </catgry>
  <catgry>
    <catValu>2051</catValu>
    <labl>51 hours</labl>
  </catgry>
  <catgry>
    <catValu>2052</catValu>
    <labl>52 hours</labl>
  </catgry>
  <catgry>
    <catValu>2053</catValu>
    <labl>53 hours</labl>
  </catgry>
  <catgry>
    <catValu>2054</catValu>
    <labl>54 hours</labl>
  </catgry>
  <catgry>
    <catValu>2055</catValu>
    <labl>55 hours</labl>
  </catgry>
  <catgry>
    <catValu>2056</catValu>
    <labl>56 hours</labl>
  </catgry>
  <catgry>
    <catValu>2057</catValu>
    <labl>57 hours</labl>
  </catgry>
  <catgry>
    <catValu>2058</catValu>
    <labl>58 hours</labl>
  </catgry>
  <catgry>
    <catValu>2059</catValu>
    <labl>59 hours</labl>
  </catgry>
  <catgry>
    <catValu>2060</catValu>
    <labl>60 hours</labl>
  </catgry>
  <catgry>
    <catValu>2061</catValu>
    <labl>61 hours</labl>
  </catgry>
  <catgry>
    <catValu>2062</catValu>
    <labl>62 hours</labl>
  </catgry>
  <catgry>
    <catValu>2063</catValu>
    <labl>63 hours</labl>
  </catgry>
  <catgry>
    <catValu>2064</catValu>
    <labl>64 hours</labl>
  </catgry>
  <catgry>
    <catValu>2065</catValu>
    <labl>65 hours</labl>
  </catgry>
  <catgry>
    <catValu>2066</catValu>
    <labl>66 hours</labl>
  </catgry>
  <catgry>
    <catValu>2067</catValu>
    <labl>67 hours</labl>
  </catgry>
  <catgry>
    <catValu>2068</catValu>
    <labl>68 hours</labl>
  </catgry>
  <catgry>
    <catValu>2069</catValu>
    <labl>69 hours</labl>
  </catgry>
  <catgry>
    <catValu>2070</catValu>
    <labl>70 hours</labl>
  </catgry>
  <catgry>
    <catValu>2071</catValu>
    <labl>71 hours</labl>
  </catgry>
  <catgry>
    <catValu>2072</catValu>
    <labl>72 hours</labl>
  </catgry>
  <catgry>
    <catValu>2073</catValu>
    <labl>73 hours</labl>
  </catgry>
  <catgry>
    <catValu>2074</catValu>
    <labl>74 hours</labl>
  </catgry>
  <catgry>
    <catValu>2075</catValu>
    <labl>75 hours</labl>
  </catgry>
  <catgry>
    <catValu>2076</catValu>
    <labl>76 hours</labl>
  </catgry>
  <catgry>
    <catValu>2077</catValu>
    <labl>77 hours</labl>
  </catgry>
  <catgry>
    <catValu>2078</catValu>
    <labl>78 hours</labl>
  </catgry>
  <catgry>
    <catValu>2079</catValu>
    <labl>79 hours</labl>
  </catgry>
  <catgry>
    <catValu>2080</catValu>
    <labl>80 hours</labl>
  </catgry>
  <catgry>
    <catValu>2081</catValu>
    <labl>81 hours</labl>
  </catgry>
  <catgry>
    <catValu>2082</catValu>
    <labl>82 hours</labl>
  </catgry>
  <catgry>
    <catValu>2083</catValu>
    <labl>83 hours</labl>
  </catgry>
  <catgry>
    <catValu>2084</catValu>
    <labl>84 hours</labl>
  </catgry>
  <catgry>
    <catValu>2085</catValu>
    <labl>85 hours</labl>
  </catgry>
  <catgry>
    <catValu>2086</catValu>
    <labl>86 hours</labl>
  </catgry>
  <catgry>
    <catValu>2087</catValu>
    <labl>87 hours</labl>
  </catgry>
  <catgry>
    <catValu>2088</catValu>
    <labl>88 hours</labl>
  </catgry>
  <catgry>
    <catValu>2089</catValu>
    <labl>89 hours</labl>
  </catgry>
  <catgry>
    <catValu>2090</catValu>
    <labl>90 hours</labl>
  </catgry>
  <catgry>
    <catValu>2091</catValu>
    <labl>91 hours</labl>
  </catgry>
  <catgry>
    <catValu>2092</catValu>
    <labl>92 hours</labl>
  </catgry>
  <catgry>
    <catValu>2093</catValu>
    <labl>93 hours</labl>
  </catgry>
  <catgry>
    <catValu>2094</catValu>
    <labl>94 hours</labl>
  </catgry>
  <catgry>
    <catValu>2095</catValu>
    <labl>95 hours</labl>
  </catgry>
  <catgry>
    <catValu>2096</catValu>
    <labl>96 hours</labl>
  </catgry>
  <catgry>
    <catValu>2097</catValu>
    <labl>97 hours</labl>
  </catgry>
  <catgry>
    <catValu>2098</catValu>
    <labl>98 hours</labl>
  </catgry>
  <catgry>
    <catValu>2099</catValu>
    <labl>99 hours</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>100 hours or more</labl>
  </catgry>
  <catgry>
    <catValu>2999</catValu>
    <labl>Hours, number missing</labl>
  </catgry>
  <catgry>
    <catValu>3001</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>3002</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>3003</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>3004</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>3005</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>3999</catValu>
    <labl>Days, number missing</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Source comes to respondent</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>No source known</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (Not in universe)</labl>
  </catgry>
  <txt>For women who know of a source where contraception can be obtained, FPSRCTIME (V381) reports the amount of time it takes them to get there in minutes, hours, or days. The complementary variable FPSRCTIMEGP also reports the amount of time to get to the source of family planning, but that variable is top-coded at 120+ minutes.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPSRCTIMEGP" name="C_FPSRCTIMEGP" files="C" intrvl="discrete">
  <labl>Time to get to FP source (grouped)</labl>
  <imputation>Time to get to FP source (grouped)</imputation>
  <security>Time to get to FP source (grouped)</security>
  <embargo>Time to get to FP source (grouped)</embargo>
  <respUnit>Time to get to FP source (grouped)</respUnit>
  <qstn>
    <qstnLit>334) How long does it take to travel to your home to this place?
IF LESS THAN 2 HOURS, RECORD MINUTES. OTHERWISE, RECORD HOURS.

MINUTES: ___ 1
HOURS: ___ 2
DON'T KNOW 9998</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Mobile source</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>0 - 14 minutes</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>15 - 29 minutes</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>30 - 59 minutes</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>60 - 89 minutes</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>90 - 119 minutes</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>120 or more minutes</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Don't know time</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know source</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (Not in universe)</labl>
  </catgry>
  <txt>Like FPSRCTIME, for women who know of a source where contraception can be obtained, FPSRCTIMEGP (V382) reports the amount of time it takes to get to there, but the latter variable uses grouped intervals and is top-coded at 120+ minutes.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPPILLCOST" name="C_FPPILLCOST" files="C" intrvl="discrete">
  <labl>Cost of Pills</labl>
  <imputation>Cost of Pills</imputation>
  <security>Cost of Pills</security>
  <embargo>Cost of Pills</embargo>
  <respUnit>Cost of Pills</respUnit>
  <qstn>
    <qstnLit>317) How much does one packet of pills cost you?

RECORD PRICE.

317A) For how many cycles have you used this packet of pills?

RECORD NUMBER OF CYCLES.

COST: ___
FREE 9996
DON'T KNOW 9998

NUMBER OF CYCLES: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>000000</catValu>
    <labl>Free</labl>
  </catgry>
  <catgry>
    <catValu>999997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>999998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are currently using the Pill, FPPILLCOST (V325) reports the cost of a cycle of pills.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPPILLBRAND" name="C_FPPILLBRAND" files="C" intrvl="discrete">
  <labl>Brand of Pills currently used</labl>
  <imputation>Brand of Pills currently used</imputation>
  <security>Brand of Pills currently used</security>
  <embargo>Brand of Pills currently used</embargo>
  <respUnit>Brand of Pills currently used</respUnit>
  <qstn>
    <qstnLit>316) Do you know the brand name of the pills that you are now using?

STEDIRIL 01
MINIDRIL 02
MILLI ANOVLAR 03
EUGYNON 04
ADEPAL 05
MINIPHASE 06
LO-FEMENAL 07
EUGYNON 08
OTHER (SPECIFY): ___ 09
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>4203</catValu>
    <labl>Emkit</labl>
  </catgry>
  <catgry>
    <catValu>3112</catValu>
    <labl>Triella</labl>
  </catgry>
  <catgry>
    <catValu>2215</catValu>
    <labl>TriNovum</labl>
  </catgry>
  <catgry>
    <catValu>2114</catValu>
    <labl>Stediril</labl>
  </catgry>
  <catgry>
    <catValu>1241</catValu>
    <labl>Rigevidon</labl>
  </catgry>
  <catgry>
    <catValu>1240</catValu>
    <labl>Brevinor</labl>
  </catgry>
  <catgry>
    <catValu>1239</catValu>
    <labl>Lusiaf</labl>
  </catgry>
  <catgry>
    <catValu>1129</catValu>
    <labl>Yasmin</labl>
  </catgry>
  <catgry>
    <catValu>1128</catValu>
    <labl>Triquilar</labl>
  </catgry>
  <catgry>
    <catValu>1127</catValu>
    <labl>Trinordial</labl>
  </catgry>
  <catgry>
    <catValu>2113</catValu>
    <labl>"</labl>
  </catgry>
  <catgry>
    <catValu>1242</catValu>
    <labl>NewFem</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>LOW-DOSE PILLS</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>International brands</labl>
  </catgry>
  <catgry>
    <catValu>1101</catValu>
    <labl>Adepal</labl>
  </catgry>
  <catgry>
    <catValu>1102</catValu>
    <labl>Choice</labl>
  </catgry>
  <catgry>
    <catValu>1103</catValu>
    <labl>Cilest</labl>
  </catgry>
  <catgry>
    <catValu>1104</catValu>
    <labl>Combination-3</labl>
  </catgry>
  <catgry>
    <catValu>1105</catValu>
    <labl>Confidence</labl>
  </catgry>
  <catgry>
    <catValu>1106</catValu>
    <labl>Diane</labl>
  </catgry>
  <catgry>
    <catValu>1107</catValu>
    <labl>Duofem</labl>
  </catgry>
  <catgry>
    <catValu>1108</catValu>
    <labl>Eugynon</labl>
  </catgry>
  <catgry>
    <catValu>1109</catValu>
    <labl>Famila 28</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>Femicon</labl>
  </catgry>
  <catgry>
    <catValu>1111</catValu>
    <labl>Gracial</labl>
  </catgry>
  <catgry>
    <catValu>1112</catValu>
    <labl>Lo-femenal</labl>
  </catgry>
  <catgry>
    <catValu>1113</catValu>
    <labl>Logynon</labl>
  </catgry>
  <catgry>
    <catValu>1114</catValu>
    <labl>Marvelon</labl>
  </catgry>
  <catgry>
    <catValu>1115</catValu>
    <labl>Microgynon</labl>
  </catgry>
  <catgry>
    <catValu>1116</catValu>
    <labl>Minidril</labl>
  </catgry>
  <catgry>
    <catValu>1117</catValu>
    <labl>Miniphase</labl>
  </catgry>
  <catgry>
    <catValu>1118</catValu>
    <labl>Nordette</labl>
  </catgry>
  <catgry>
    <catValu>1119</catValu>
    <labl>Norminest</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>Norquest</labl>
  </catgry>
  <catgry>
    <catValu>1121</catValu>
    <labl>Novodol</labl>
  </catgry>
  <catgry>
    <catValu>1122</catValu>
    <labl>Oralcon F</labl>
  </catgry>
  <catgry>
    <catValu>1123</catValu>
    <labl>Ortho-Novum</labl>
  </catgry>
  <catgry>
    <catValu>1124</catValu>
    <labl>Pilplan</labl>
  </catgry>
  <catgry>
    <catValu>1125</catValu>
    <labl>Planif</labl>
  </catgry>
  <catgry>
    <catValu>1126</catValu>
    <labl>Planyl</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Country-specific brands</labl>
  </catgry>
  <catgry>
    <catValu>1201</catValu>
    <labl>Nogestol</labl>
  </catgry>
  <catgry>
    <catValu>1202</catValu>
    <labl>Desolon</labl>
  </catgry>
  <catgry>
    <catValu>1203</catValu>
    <labl>Femipill</labl>
  </catgry>
  <catgry>
    <catValu>1204</catValu>
    <labl>Maya</labl>
  </catgry>
  <catgry>
    <catValu>1205</catValu>
    <labl>Noret-28</labl>
  </catgry>
  <catgry>
    <catValu>1206</catValu>
    <labl>Ovacon</labl>
  </catgry>
  <catgry>
    <catValu>1207</catValu>
    <labl>Shuki</labl>
  </catgry>
  <catgry>
    <catValu>1208</catValu>
    <labl>Harmonie (PSI)</labl>
  </catgry>
  <catgry>
    <catValu>1209</catValu>
    <labl>Varnoline</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Microcept</labl>
  </catgry>
  <catgry>
    <catValu>1211</catValu>
    <labl>Microvlar</labl>
  </catgry>
  <catgry>
    <catValu>1212</catValu>
    <labl>Triocept</labl>
  </catgry>
  <catgry>
    <catValu>1213</catValu>
    <labl>Trivolar</labl>
  </catgry>
  <catgry>
    <catValu>1214</catValu>
    <labl>Style/Trigestrel</labl>
  </catgry>
  <catgry>
    <catValu>1215</catValu>
    <labl>Secure</labl>
  </catgry>
  <catgry>
    <catValu>1216</catValu>
    <labl>Microlite</labl>
  </catgry>
  <catgry>
    <catValu>1217</catValu>
    <labl>Apsara</labl>
  </catgry>
  <catgry>
    <catValu>1218</catValu>
    <labl>Ecroz</labl>
  </catgry>
  <catgry>
    <catValu>1219</catValu>
    <labl>Mala-D</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Mala-N</labl>
  </catgry>
  <catgry>
    <catValu>1221</catValu>
    <labl>Novelon</labl>
  </catgry>
  <catgry>
    <catValu>1222</catValu>
    <labl>Ovral L</labl>
  </catgry>
  <catgry>
    <catValu>1223</catValu>
    <labl>Pearl</labl>
  </catgry>
  <catgry>
    <catValu>1224</catValu>
    <labl>Anteovin</labl>
  </catgry>
  <catgry>
    <catValu>1225</catValu>
    <labl>Belara</labl>
  </catgry>
  <catgry>
    <catValu>1226</catValu>
    <labl>Gracial</labl>
  </catgry>
  <catgry>
    <catValu>1227</catValu>
    <labl>Loestrin</labl>
  </catgry>
  <catgry>
    <catValu>1228</catValu>
    <labl>Mawelon</labl>
  </catgry>
  <catgry>
    <catValu>1229</catValu>
    <labl>Norimin</labl>
  </catgry>
  <catgry>
    <catValu>1230</catValu>
    <labl>Femiplan</labl>
  </catgry>
  <catgry>
    <catValu>1231</catValu>
    <labl>Conova 30</labl>
  </catgry>
  <catgry>
    <catValu>1232</catValu>
    <labl>Trigynon</labl>
  </catgry>
  <catgry>
    <catValu>1233</catValu>
    <labl>OK pills</labl>
  </catgry>
  <catgry>
    <catValu>1234</catValu>
    <labl>Sure</labl>
  </catgry>
  <catgry>
    <catValu>1235</catValu>
    <labl>Feminyl</labl>
  </catgry>
  <catgry>
    <catValu>1236</catValu>
    <labl>Nilocon White</labl>
  </catgry>
  <catgry>
    <catValu>1237</catValu>
    <labl>Sunaulo Gulaf</labl>
  </catgry>
  <catgry>
    <catValu>1900</catValu>
    <labl>Unspecified low-dose pills</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>HIGH-DOSE PILLS</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>International brands</labl>
  </catgry>
  <catgry>
    <catValu>2101</catValu>
    <labl>Anovlar</labl>
  </catgry>
  <catgry>
    <catValu>2102</catValu>
    <labl>Gynovlar</labl>
  </catgry>
  <catgry>
    <catValu>2103</catValu>
    <labl>Lyndiol</labl>
  </catgry>
  <catgry>
    <catValu>2104</catValu>
    <labl>Microgynon 30 ED</labl>
  </catgry>
  <catgry>
    <catValu>2105</catValu>
    <labl>Milli Anovlar</labl>
  </catgry>
  <catgry>
    <catValu>2106</catValu>
    <labl>Neogynon</labl>
  </catgry>
  <catgry>
    <catValu>2107</catValu>
    <labl>Neogynon ED</labl>
  </catgry>
  <catgry>
    <catValu>2108</catValu>
    <labl>Nordiol</labl>
  </catgry>
  <catgry>
    <catValu>2109</catValu>
    <labl>Norquentiel</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Ovidon</labl>
  </catgry>
  <catgry>
    <catValu>2111</catValu>
    <labl>Ovral</labl>
  </catgry>
  <catgry>
    <catValu>2112</catValu>
    <labl>Ovulen 50</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Country-specific brands</labl>
  </catgry>
  <catgry>
    <catValu>2201</catValu>
    <labl>Combination-5</labl>
  </catgry>
  <catgry>
    <catValu>2202</catValu>
    <labl>Lynes</labl>
  </catgry>
  <catgry>
    <catValu>2203</catValu>
    <labl>Ovostat</labl>
  </catgry>
  <catgry>
    <catValu>2204</catValu>
    <labl>Regumen</labl>
  </catgry>
  <catgry>
    <catValu>2205</catValu>
    <labl>Novell-duo</labl>
  </catgry>
  <catgry>
    <catValu>2206</catValu>
    <labl>Gynera</labl>
  </catgry>
  <catgry>
    <catValu>2207</catValu>
    <labl>Primovlar</labl>
  </catgry>
  <catgry>
    <catValu>2208</catValu>
    <labl>Duoluton-L</labl>
  </catgry>
  <catgry>
    <catValu>2209</catValu>
    <labl>Ovral G</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Progyluton</labl>
  </catgry>
  <catgry>
    <catValu>2211</catValu>
    <labl>Gynovlane</labl>
  </catgry>
  <catgry>
    <catValu>2212</catValu>
    <labl>Ovanon</labl>
  </catgry>
  <catgry>
    <catValu>2213</catValu>
    <labl>Ovidon</labl>
  </catgry>
  <catgry>
    <catValu>2214</catValu>
    <labl>Triphasit</labl>
  </catgry>
  <catgry>
    <catValu>2900</catValu>
    <labl>Unspecified high-dose pill</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>PROGESTIN-ONLY PILLS</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>International brands</labl>
  </catgry>
  <catgry>
    <catValu>3101</catValu>
    <labl>Exluton/Lynestrenol</labl>
  </catgry>
  <catgry>
    <catValu>3102</catValu>
    <labl>Femulen</labl>
  </catgry>
  <catgry>
    <catValu>3103</catValu>
    <labl>Microlut</labl>
  </catgry>
  <catgry>
    <catValu>3104</catValu>
    <labl>Micronor</labl>
  </catgry>
  <catgry>
    <catValu>3105</catValu>
    <labl>Micronovum</labl>
  </catgry>
  <catgry>
    <catValu>3106</catValu>
    <labl>Microval</labl>
  </catgry>
  <catgry>
    <catValu>3107</catValu>
    <labl>"</labl>
  </catgry>
  <catgry>
    <catValu>3108</catValu>
    <labl>Minovlar</labl>
  </catgry>
  <catgry>
    <catValu>3109</catValu>
    <labl>Noriday</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Ovrette</labl>
  </catgry>
  <catgry>
    <catValu>3111</catValu>
    <labl>Safe Plan</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>Country-specific brands</labl>
  </catgry>
  <catgry>
    <catValu>3201</catValu>
    <labl>Bredicon</labl>
  </catgry>
  <catgry>
    <catValu>3202</catValu>
    <labl>Minicon</labl>
  </catgry>
  <catgry>
    <catValu>3203</catValu>
    <labl>Levonor</labl>
  </catgry>
  <catgry>
    <catValu>3204</catValu>
    <labl>Hyan</labl>
  </catgry>
  <catgry>
    <catValu>3205</catValu>
    <labl>I-plan</labl>
  </catgry>
  <catgry>
    <catValu>3206</catValu>
    <labl>Primolut N</labl>
  </catgry>
  <catgry>
    <catValu>3207</catValu>
    <labl>Cerazette</labl>
  </catgry>
  <catgry>
    <catValu>3208</catValu>
    <labl>Planor</labl>
  </catgry>
  <catgry>
    <catValu>3209</catValu>
    <labl>Softsure</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>EMERGENCY CONTRACEPTION</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>International brands</labl>
  </catgry>
  <catgry>
    <catValu>4200</catValu>
    <labl>Country-specific brands</labl>
  </catgry>
  <catgry>
    <catValu>4201</catValu>
    <labl>Gravistal</labl>
  </catgry>
  <catgry>
    <catValu>4202</catValu>
    <labl>Postinor</labl>
  </catgry>
  <catgry>
    <catValu>4900</catValu>
    <labl>Unspecified emergency contraception</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>NON-HORMONAL PILLS</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>International brands</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Country-specific brands</labl>
  </catgry>
  <catgry>
    <catValu>5201</catValu>
    <labl>Centron</labl>
  </catgry>
  <catgry>
    <catValu>5202</catValu>
    <labl>Saheli</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>UNSPECIFIED/UNKNOWN PILLS</labl>
  </catgry>
  <catgry>
    <catValu>6100</catValu>
    <labl>International brands</labl>
  </catgry>
  <catgry>
    <catValu>6101</catValu>
    <labl>Today (sponge)</labl>
  </catgry>
  <catgry>
    <catValu>6200</catValu>
    <labl>Country-specific brands</labl>
  </catgry>
  <catgry>
    <catValu>6201</catValu>
    <labl>Khoshi</labl>
  </catgry>
  <catgry>
    <catValu>6202</catValu>
    <labl>Aco</labl>
  </catgry>
  <catgry>
    <catValu>6203</catValu>
    <labl>Cotrablan</labl>
  </catgry>
  <catgry>
    <catValu>6204</catValu>
    <labl>Microvior 30</labl>
  </catgry>
  <catgry>
    <catValu>6205</catValu>
    <labl>Stero</labl>
  </catgry>
  <catgry>
    <catValu>6206</catValu>
    <labl>Blue</labl>
  </catgry>
  <catgry>
    <catValu>6207</catValu>
    <labl>Hot</labl>
  </catgry>
  <catgry>
    <catValu>6208</catValu>
    <labl>Kamal (foam)</labl>
  </catgry>
  <catgry>
    <catValu>6209</catValu>
    <labl>N/M tablets</labl>
  </catgry>
  <catgry>
    <catValu>6210</catValu>
    <labl>Nofian</labl>
  </catgry>
  <catgry>
    <catValu>6211</catValu>
    <labl>Period oil</labl>
  </catgry>
  <catgry>
    <catValu>6212</catValu>
    <labl>Sacharin</labl>
  </catgry>
  <catgry>
    <catValu>6213</catValu>
    <labl>Skill</labl>
  </catgry>
  <catgry>
    <catValu>6214</catValu>
    <labl>Moti</labl>
  </catgry>
  <catgry>
    <catValu>6215</catValu>
    <labl>Subitha</labl>
  </catgry>
  <catgry>
    <catValu>6216</catValu>
    <labl>Fingers</labl>
  </catgry>
  <catgry>
    <catValu>6217</catValu>
    <labl>Sutura</labl>
  </catgry>
  <catgry>
    <catValu>6218</catValu>
    <labl>Menstrogen (injection)</labl>
  </catgry>
  <catgry>
    <catValu>6219</catValu>
    <labl>Norvolain</labl>
  </catgry>
  <catgry>
    <catValu>6220</catValu>
    <labl>Flexi P</labl>
  </catgry>
  <catgry>
    <catValu>6221</catValu>
    <labl>Marutton</labl>
  </catgry>
  <catgry>
    <catValu>6900</catValu>
    <labl>Other unspecified/unknown pills</labl>
  </catgry>
  <catgry>
    <catValu>6901</catValu>
    <labl>Unspecified private brand</labl>
  </catgry>
  <catgry>
    <catValu>6902</catValu>
    <labl>Unspecified public brand</labl>
  </catgry>
  <catgry>
    <catValu>6903</catValu>
    <labl>Unspecified social marketing brand</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Not able to show</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are currently using the Pill, FPPILLBRAND (V323) reports the brand name of the Pill that the respondent currently uses.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPPILLPACK" name="C_FPPILLPACK" files="C" intrvl="discrete">
  <labl>Shown pill package</labl>
  <imputation>Shown pill package</imputation>
  <security>Shown pill package</security>
  <embargo>Shown pill package</embargo>
  <respUnit>Shown pill package</respUnit>
  <qstn>
    <qstnLit>315) May I see the package of pills you are using now?

STEDIRIL 01 (GO TO 317)
MINIDRIL 02 (GO TO 317)
MILLI ANOVLAR 03 (GO TO 317)
EUGYNON 04 (GO TO 317)
ADEPAL 05 (GO TO 317)
MINIPHASE 06 (GO TO 317)
LO-FEMENAL 07 (GO TO 317)
EUGYNON 08 (GO TO 317)
OTHER (SPECIFY): ___ 09 (GO TO 317)
BOX NOT SHOWN 10</qstnLit>
  </qstn>
  <catgry>
    <labl>Package not seen</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Package seen</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are currently using the Pill as a method of family planning, FPPILLPACK (V372) indicates whether the package of pills currently being used was seen by the interviewer.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPLPILSAWDR" name="C_FPLPILSAWDR" files="C" intrvl="discrete">
  <labl>Saw doctor or nurse last time got Pill</labl>
  <imputation>Saw doctor or nurse last time got Pill</imputation>
  <security>Saw doctor or nurse last time got Pill</security>
  <embargo>Saw doctor or nurse last time got Pill</embargo>
  <respUnit>Saw doctor or nurse last time got Pill</respUnit>
  <qstn>
    <qstnLit>314) At the time you last got pills, did you consult a doctor or midwife?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPLPILSAWDR (V374) indicates whether the woman consulted a doctor or other trained medical personnel when she last got a supply of the Pill.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FP1STUSGPKID" name="C_FP1STUSGPKID" files="C" intrvl="discrete">
  <labl>Number living children at first use of FP (grouped)</labl>
  <imputation>Number living children at first use of FP (grouped)</imputation>
  <security>Number living children at first use of FP (grouped)</security>
  <embargo>Number living children at first use of FP (grouped)</embargo>
  <respUnit>Number living children at first use of FP (grouped)</respUnit>
  <qstn>
    <qstnLit>308) Now I would like to speak to you about the time when you first did something or used a method to avoid getting pregnant. How many children did you have at that time?

IF NONE, RECORD '00'.

NUMBER OF CHILDREN: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4+</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Inconsistent number reported</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>Never used FP</labl>
  </catgry>
  <txt>FP1STUSGPKID (V311) reports the number of living children, if any, the woman had when she first used a contraceptive method, with the number top-coded at 4+ children. FP1STUSLVKID reports responses to the same question, without top-coding the answers.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>First use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FP1STUSLVKID" name="C_FP1STUSLVKID" files="C" intrvl="discrete">
  <labl>Number living children at first use of FP</labl>
  <imputation>Number living children at first use of FP</imputation>
  <security>Number living children at first use of FP</security>
  <embargo>Number living children at first use of FP</embargo>
  <respUnit>Number living children at first use of FP</respUnit>
  <qstn>
    <qstnLit>308) Now I would like to speak to you about the time when you first did something or used a method to avoid getting pregnant. How many children did you have at that time?

IF NONE, RECORD '00'.

NUMBER OF CHILDREN: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FP1STUSLVKID (V310) reports the number of living children the woman had the first time she used a contraceptive method.  The same information is also reported in FP1STUSGPKID, except responses are top-coded at 4+ children in that variable and women who have never used contraception are coded as "9."</txt>
  <concept>
    <title>First use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FP1PILSAWDR" name="C_FP1PILSAWDR" files="C" intrvl="discrete">
  <labl>Saw doctor or nurse for first use of Pill</labl>
  <imputation>Saw doctor or nurse for first use of Pill</imputation>
  <security>Saw doctor or nurse for first use of Pill</security>
  <embargo>Saw doctor or nurse for first use of Pill</embargo>
  <respUnit>Saw doctor or nurse for first use of Pill</respUnit>
  <qstn>
    <qstnLit>313 At the time you first started using the pill, did you consult a doctor or a midwife?

YES 1
NO 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <txt>FP1PILSAWDR (V373) indicates whether the woman consulted a doctor or other trained medical personnel when she first started using the Pill.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>First use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPUSINTENT" name="C_FPUSINTENT" files="C" intrvl="discrete">
  <labl>FP current use or future intention</labl>
  <imputation>FP current use or future intention</imputation>
  <security>FP current use or future intention</security>
  <embargo>FP current use or future intention</embargo>
  <respUnit>FP current use or future intention</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>Using modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Using traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Non-user intending to use</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Does not intend to use</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Never had sex</labl>
  </catgry>
  <txt>FPUSINTENT (V364) is a constructed variable drawing on responses to multiple survey questions that divides women into the following categories: those who are currently using a contraceptive method (either modern or traditional); those who are not now using contraception but intend to do so in the future; those who are neither using contraception now nor intend to do so in the future; and (in a minority of samples) those who never had sex.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

IPUMS-DHS users are encouraged to review FPMETHNOW and FPUSPLAN for additional information on the variables used to construct FPUSINTENT.</txt>
  <concept>
    <title>Future use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPUSPLAN" name="C_FPUSPLAN" files="C" intrvl="discrete">
  <labl>Intention to use FP in future</labl>
  <imputation>Intention to use FP in future</imputation>
  <security>Intention to use FP in future</security>
  <embargo>Intention to use FP in future</embargo>
  <respUnit>Intention to use FP in future</respUnit>
  <qstn>
    <qstnLit>326) Do you intend to use a method to avoid getting pregnant in the future?

YES 1 (GO TO 328)
NO 2
DON'T KNOW 8 (GO TO 332)</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Will use in future</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Use in next 12 months</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Use later</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Unsure about future use</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Unsure about timing</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Unsure about use</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Does not intend to use</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Never had sex</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPUSPLAN (V362) is a constructed variable based on multiple survey questions that reports, for women not currently using contraception, whether the woman intends to use contraception in the future and, if so, when she intends to begin use (in the next 12 months or later). Women uncertain about future contraceptive use are subdivided into those who are unsure about using a method and those unsure about the timing of planned future use.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>Future use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPMETHFUTR" name="C_FPMETHFUTR" files="C" intrvl="discrete">
  <labl>Preferred future FP method</labl>
  <imputation>Preferred future FP method</imputation>
  <security>Preferred future FP method</security>
  <embargo>Preferred future FP method</embargo>
  <respUnit>Preferred future FP method</respUnit>
  <qstn>
    <qstnLit>329) When you eventually do use a method, which method would you prefer to use?

PILL 01
IUD 02
INJECTIONS 03
DIAPHRAGM/FOAM/GEL 04
CONDOM 05
FEMALE STERILIZATION 06
MALE STERILIZATION 07
PERIODIC ABSTINENCE 08 (GO TO 332)
WITHDRAWAL 09 (GO TO 332)
GRIS-GRIS 10 (GO TO 332)
OTHER (SPECIFY): ___ 11 (GO TO 332)
UNSURE 98 (GO TO 332)</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>Specific method 4</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>Specific method 3</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>Specific method 2</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>Specific method 1</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Other method, unspecified</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>Traditional medications</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>Astrology</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>Gris-gris/amulet</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>Herbs</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>Other traditional/folkloric</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>Withdrawal</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>Abstinence</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>Periodic abstinence</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Abstinence or periodic abstinence</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>TRADITIONAL METHODS</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>Whatever doctor prescribes</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>Other modern methods</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>Emergency contraception</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>Prolonged breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>Lactational amenorrhea (LAM)</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>Vaginal methods</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>Foaming tablets</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>Foam or jelly</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>Diaphragm/Jelly</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>Diaphragm/Foam</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>Diaphragm</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Diaphragm/Foam/Jelly</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>Male sterilization</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>Female sterilization</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>Female condom</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>Condom</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>Norplant/implants</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>Injections</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>IUD</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>Pill</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>MODERN METHODS</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>CycleBeads/Standard days method</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>Mucus method (periodic abstinence)</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>Knotted cord/strings</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>Charm from traditional spiritual leader</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Don't know</labl>
  </catgry>
  <txt>For women not currently using a contraceptive method but intending to do so in the future, FPMETHFUTR (V363) reports the family planning method the woman would prefer to use.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

Answers are grouped under the broad categories of "modern methods," "traditional methods," and "other methods," each with a different first digit. Specific methods are distinguished by the second and third digits. Closely related responses, such as various groupings of diaphragm/foam/jelly, share the first 2 digits in common, while the third digit distinguishes the exact response category.</txt>
  <concept>
    <title>Future use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPSRCFUTR" name="C_FPSRCFUTR" files="C" intrvl="discrete">
  <labl>The source of the preferred method is the source the respondent believes the preferred method is available.</labl>
  <imputation>The source of the preferred method is the source the respondent believes the preferred method is available.</imputation>
  <security>The source of the preferred method is the source the respondent believes the preferred method is available.</security>
  <embargo>The source of the preferred method is the source the respondent believes the preferred method is available.</embargo>
  <respUnit>The source of the preferred method is the source the respondent believes the preferred method is available.</respUnit>
  <qstn>
    <qstnLit>330) Where can you get (METHOD MENTIONED IN 329)?

NAME OF PLACE: ___

PUBLIC SECTOR

HOSPITAL 11 (GO TO 334)
MEDICAL CENTER 12(GO TO 334)
FAMILY HEALTH CENTER 13(GO TO 334)
MOTHER AND CHILD CARE CENTER 14 (GO TO 334)
DISPENSARY 15 (GO TO 334)
MATERNITY WARD 16 (GO TO 334)
PEOPLE'S PHARMACY 17 (GO TO 334)

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE 21 (GO TO 334)
CLINIC/HOSPITAL 22 (GO TO 334)
PHARMACY 23 (GO TO 334)

OTHER PRIVATE SECTOR

RELATIVE 31 (GO TO 336)
NEIGHBOR 32 (GO TO 336)

OTHER (SPECIFY): ___ 41(GO TO 336)
DON'T KNOW 98 (GO TO 332)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1000</catValu>
    <labl>PUBLIC SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Government hospital</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>Regional/provincial hospital</labl>
  </catgry>
  <catgry>
    <catValu>1130</catValu>
    <labl>Urban hospital</labl>
  </catgry>
  <catgry>
    <catValu>1140</catValu>
    <labl>District hospital</labl>
  </catgry>
  <catgry>
    <catValu>1150</catValu>
    <labl>Rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>1160</catValu>
    <labl>Teaching hospital</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Government health center</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Urban health center</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Rural health center</labl>
  </catgry>
  <catgry>
    <catValu>1230</catValu>
    <labl>Family welfare center</labl>
  </catgry>
  <catgry>
    <catValu>1240</catValu>
    <labl>Primary health center</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>Government family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>1400</catValu>
    <labl>Government pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>1410</catValu>
    <labl>Government pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>1420</catValu>
    <labl>Government dispensary</labl>
  </catgry>
  <catgry>
    <catValu>1500</catValu>
    <labl>Government maternity home</labl>
  </catgry>
  <catgry>
    <catValu>1510</catValu>
    <labl>Maternal and child health (MCH) center</labl>
  </catgry>
  <catgry>
    <catValu>1600</catValu>
    <labl>Government outreach</labl>
  </catgry>
  <catgry>
    <catValu>1610</catValu>
    <labl>Government health post</labl>
  </catgry>
  <catgry>
    <catValu>1620</catValu>
    <labl>Government mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>1630</catValu>
    <labl>Government health worker</labl>
  </catgry>
  <catgry>
    <catValu>1631</catValu>
    <labl>Fieldworker</labl>
  </catgry>
  <catgry>
    <catValu>1632</catValu>
    <labl>Paramedic</labl>
  </catgry>
  <catgry>
    <catValu>1633</catValu>
    <labl>Doctor</labl>
  </catgry>
  <catgry>
    <catValu>1634</catValu>
    <labl>Community/village health worker</labl>
  </catgry>
  <catgry>
    <catValu>1900</catValu>
    <labl>Other public sector</labl>
  </catgry>
  <catgry>
    <catValu>1901</catValu>
    <labl>Health insurance organization</labl>
  </catgry>
  <catgry>
    <catValu>1902</catValu>
    <labl>Curative care organization</labl>
  </catgry>
  <catgry>
    <catValu>1903</catValu>
    <labl>Parastatal health facility</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>PRIVATE MEDICAL SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Private hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Private hospital</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>Private clinic</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Private doctor</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Doctor/birth attendant</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Private pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>2310</catValu>
    <labl>Private pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>2320</catValu>
    <labl>Private dispensary</labl>
  </catgry>
  <catgry>
    <catValu>2400</catValu>
    <labl>Private health center</labl>
  </catgry>
  <catgry>
    <catValu>2500</catValu>
    <labl>Private family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>2600</catValu>
    <labl>Private maternity home</labl>
  </catgry>
  <catgry>
    <catValu>2700</catValu>
    <labl>Private outreach</labl>
  </catgry>
  <catgry>
    <catValu>2710</catValu>
    <labl>Private mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>2720</catValu>
    <labl>Private health worker</labl>
  </catgry>
  <catgry>
    <catValu>2721</catValu>
    <labl>Nurse</labl>
  </catgry>
  <catgry>
    <catValu>2722</catValu>
    <labl>Fieldworker</labl>
  </catgry>
  <catgry>
    <catValu>2723</catValu>
    <labl>Community-based distribution agent (CBDA)</labl>
  </catgry>
  <catgry>
    <catValu>2900</catValu>
    <labl>Other private medical sector</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>NGO FACILITY</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>NGO health facility</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>Country-specific NGOs</labl>
  </catgry>
  <catgry>
    <catValu>3201</catValu>
    <labl>CSI project</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>RELIGIOUS/MISSION</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>Religious hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>4110</catValu>
    <labl>Religious hospital</labl>
  </catgry>
  <catgry>
    <catValu>4200</catValu>
    <labl>Religious dispensary</labl>
  </catgry>
  <catgry>
    <catValu>4300</catValu>
    <labl>Religious health center</labl>
  </catgry>
  <catgry>
    <catValu>4310</catValu>
    <labl>Mosque health center</labl>
  </catgry>
  <catgry>
    <catValu>4320</catValu>
    <labl>Church health center</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Relative/friend</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Shop</labl>
  </catgry>
  <catgry>
    <catValu>5300</catValu>
    <labl>Church</labl>
  </catgry>
  <catgry>
    <catValu>5400</catValu>
    <labl>Traditional birth attendant</labl>
  </catgry>
  <catgry>
    <catValu>5500</catValu>
    <labl>Workplace</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who are not currently using contraception but intend to use a modern method in the future, FPSRCFUTR (V377) reports the intended source for their preferred future method.

The related variable FPSRCFUTRS (V378) reports the intended source for their preferred future method, in standardized response categories.</txt>
  <concept>
    <title>Future use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPSRCFUTRS" name="C_FPSRCFUTRS" files="C" intrvl="discrete">
  <labl>Source of preferred future FP method, standardized</labl>
  <imputation>Source of preferred future FP method, standardized</imputation>
  <security>Source of preferred future FP method, standardized</security>
  <embargo>Source of preferred future FP method, standardized</embargo>
  <respUnit>Source of preferred future FP method, standardized</respUnit>
  <qstn>
    <qstnLit>330) Where can you get (METHOD MENTIONED IN 329)?

NAME OF PLACE: ___

PUBLIC SECTOR

HOSPITAL 11 (GO TO 334)
MEDICAL CENTER 12(GO TO 334)
FAMILY HEALTH CENTER 13(GO TO 334)
MOTHER AND CHILD CARE CENTER 14 (GO TO 334)
DISPENSARY 15 (GO TO 334)
MATERNITY WARD 16 (GO TO 334)
PEOPLE'S PHARMACY 17 (GO TO 334)

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE 21 (GO TO 334)
CLINIC/HOSPITAL 22 (GO TO 334)
PHARMACY 23 (GO TO 334)

OTHER PRIVATE SECTOR

RELATIVE 31 (GO TO 336)
NEIGHBOR 32 (GO TO 336)

OTHER (SPECIFY): ___ 41(GO TO 336)
DON'T KNOW 98 (GO TO 332)</qstnLit>
  </qstn>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Shop, church, friend, books</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Private Pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Private Clin/Deliv</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>NGO</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Got Home/Comm delivery</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Govt Clinical/Pharm</labl>
  </catgry>
  <txt>For women who plan to use a modern contraceptive method in the future, FPSRCFUTRS (V378) reports the intended source for their preferred future method. This variable was constructed by recoding country-specific responses into standard categories that are consistent across samples.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>Future use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPEVUSE" name="C_FPEVUSE" files="C" intrvl="discrete">
  <labl>Ever use any type of FP (folk, traditional, modern)</labl>
  <imputation>Ever use any type of FP (folk, traditional, modern)</imputation>
  <security>Ever use any type of FP (folk, traditional, modern)</security>
  <embargo>Ever use any type of FP (folk, traditional, modern)</embargo>
  <respUnit>Ever use any type of FP (folk, traditional, modern)</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Never used</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Used only traditional or folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Used only traditional method</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Used only folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Used modern method</labl>
  </catgry>
  <txt>FPEVUSE (V302) is a constructed variable that reports whether the woman had ever used a family planning method and, if so, whether she had used a modern contraceptive method or only a traditional or folkloric method.  

In the DHS, modern methods are pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPEVUSPILL" name="C_FPEVUSPILL" files="C" intrvl="discrete">
  <labl>Ever use Pill for FP</labl>
  <imputation>Ever use Pill for FP</imputation>
  <security>Ever use Pill for FP</security>
  <embargo>Ever use Pill for FP</embargo>
  <respUnit>Ever use Pill for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSPILL (V305_01) indicates whether the woman has ever used the pill to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPEVUSIUD" name="C_FPEVUSIUD" files="C" intrvl="discrete">
  <labl>Ever use IUD for FP</labl>
  <imputation>Ever use IUD for FP</imputation>
  <security>Ever use IUD for FP</security>
  <embargo>Ever use IUD for FP</embargo>
  <respUnit>Ever use IUD for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSIUD (V305_02) indicates whether the woman had ever used an IUD to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPEVUSINJ" name="C_FPEVUSINJ" files="C" intrvl="discrete">
  <labl>Ever use injectable for FP</labl>
  <imputation>Ever use injectable for FP</imputation>
  <security>Ever use injectable for FP</security>
  <embargo>Ever use injectable for FP</embargo>
  <respUnit>Ever use injectable for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSINJ (V305_03) indicates whether the woman has ever used injectable contraception to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPEVUSDIA" name="C_FPEVUSDIA" files="C" intrvl="discrete">
  <labl>Ever use diaphragm for FP</labl>
  <imputation>Ever use diaphragm for FP</imputation>
  <security>Ever use diaphragm for FP</security>
  <embargo>Ever use diaphragm for FP</embargo>
  <respUnit>Ever use diaphragm for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSDIA (V305_04) indicates whether the woman had ever used the diaphragm (sometimes explicitly in conjunction with foam or jelly) to delay or avoid a pregnancy. See Comparability.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPEVUSCON" name="C_FPEVUSCON" files="C" intrvl="discrete">
  <labl>Ever use condom for FP</labl>
  <imputation>Ever use condom for FP</imputation>
  <security>Ever use condom for FP</security>
  <embargo>Ever use condom for FP</embargo>
  <respUnit>Ever use condom for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSCON (V305_05) indicates whether the woman had ever used the male condom to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPEVUSFST" name="C_FPEVUSFST" files="C" intrvl="discrete">
  <labl>Ever use female sterilization for FP</labl>
  <imputation>Ever use female sterilization for FP</imputation>
  <security>Ever use female sterilization for FP</security>
  <embargo>Ever use female sterilization for FP</embargo>
  <respUnit>Ever use female sterilization for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSFST (V305_06) indicates whether the woman had ever used female sterilization to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPEVUSWD" name="C_FPEVUSWD" files="C" intrvl="discrete">
  <labl>Ever use withdrawal for FP</labl>
  <imputation>Ever use withdrawal for FP</imputation>
  <security>Ever use withdrawal for FP</security>
  <embargo>Ever use withdrawal for FP</embargo>
  <respUnit>Ever use withdrawal for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSWD (V305_09) indicates whether the woman has ever used withdrawal to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPEVUSRHY" name="C_FPEVUSRHY" files="C" intrvl="discrete">
  <labl>Ever use rhythm for FP</labl>
  <imputation>Ever use rhythm for FP</imputation>
  <security>Ever use rhythm for FP</security>
  <embargo>Ever use rhythm for FP</embargo>
  <respUnit>Ever use rhythm for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSRHY (V305_08) indicates whether the woman had ever used rhythm (periodic abstinence) to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPEVUSMST" name="C_FPEVUSMST" files="C" intrvl="discrete">
  <labl>Ever use male sterilization for FP</labl>
  <imputation>Ever use male sterilization for FP</imputation>
  <security>Ever use male sterilization for FP</security>
  <embargo>Ever use male sterilization for FP</embargo>
  <respUnit>Ever use male sterilization for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSMST (V305_07) indicates whether the woman had ever used male sterilization to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPEVUSCHARM" name="C_FPEVUSCHARM" files="C" intrvl="discrete">
  <labl>Ever use charms or amulets for FP</labl>
  <imputation>Ever use charms or amulets for FP</imputation>
  <security>Ever use charms or amulets for FP</security>
  <embargo>Ever use charms or amulets for FP</embargo>
  <respUnit>Ever use charms or amulets for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSCHARM indicates whether the woman had ever used charms or amulets to delay or avoid a pregnancy. The complementary variable FPKNOCHARM indicates whether the woman knew about using charms or amulets as a method for family planning.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPEVUSRELIG" name="C_FPEVUSRELIG" files="C" intrvl="discrete">
  <labl>Ever use religion for FP</labl>
  <imputation>Ever use religion for FP</imputation>
  <security>Ever use religion for FP</security>
  <embargo>Ever use religion for FP</embargo>
  <respUnit>Ever use religion for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSRELIG indicates whether the woman had ever used religion, such as a religious holy person or holy book, to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPEVUSOM" name="C_FPEVUSOM" files="C" intrvl="discrete">
  <labl>Ever use other methods for FP</labl>
  <imputation>Ever use other methods for FP</imputation>
  <security>Ever use other methods for FP</security>
  <embargo>Ever use other methods for FP</embargo>
  <respUnit>Ever use other methods for FP</respUnit>
  <qstn>
    <qstnLit>303) Have you ever used (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM Have you ever had a partner who used a condom?

YES 1
NO 2

06. FEMALE STERILIZATION Have you had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION Have you ever had a partner who had an operation to avoid having more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSOM (V305_10) indicates whether the woman has ever used other methods to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPSTERAGN" name="C_FPSTERAGN" files="C" intrvl="discrete">
  <labl>Thinks would have sterilization again</labl>
  <imputation>Thinks would have sterilization again</imputation>
  <security>Thinks would have sterilization again</security>
  <embargo>Thinks would have sterilization again</embargo>
  <respUnit>Thinks would have sterilization again</respUnit>
  <qstn>
    <qstnLit>607) Given your present circumstances, if you could do it all over again, do you think you/your husband would make the same decision to not have any more children?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERAGN (V619) indicates whether they (or their partners) would choose to have the operation if given the chance to do it over again.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPSTERREG" name="C_FPSTERREG" files="C" intrvl="discrete">
  <labl>Reason regrets sterilization</labl>
  <imputation>Reason regrets sterilization</imputation>
  <security>Reason regrets sterilization</security>
  <embargo>Reason regrets sterilization</embargo>
  <respUnit>Reason regrets sterilization</respUnit>
  <qstn>
    <qstnLit>609) Why do you regret it?

RESPONDENT WANTS ANOTHER CHILD 1 (GO TO 614)
PARTNER WANTS ANOTHER CHILD 2 1 (GO TO 614)
SIDE EFFECTS 3 (GO TO 614)
OTHER REASON (SPECIFY): ___ 4 (GO TO 614)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No regret</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Respondent wants a(nother) child</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Partner wants a(nother) child</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Side effects</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Child died</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Marital status changed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Operation failed</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Other reason</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERREG (V618) reports the reason (if any) they regret getting sterilized.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPSTERILAGE" name="C_FPSTERILAGE" files="C" intrvl="discrete">
  <labl>Age at sterilization (grouped)</labl>
  <imputation>Age at sterilization (grouped)</imputation>
  <security>Age at sterilization (grouped)</security>
  <embargo>Age at sterilization (grouped)</embargo>
  <respUnit>Age at sterilization (grouped)</respUnit>
  <qstn>
    <qstnLit>322) In what month and year was the sterilization operation performed?

MONTH: ___ (GO TO 336)
YEAR: ___ (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>7</catValu>
    <labl>50 - 54 years old</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Less than 25 years old</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>25 - 29 years old</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>30 - 34 years old</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>35 - 39 years old</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>40 - 44 years old</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>45 - 49 years old</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERILAGE (V320) reports their age at the time of their sterilization operation.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPSTERILPAR" name="C_FPSTERILPAR" files="C" intrvl="discrete">
  <labl>Parity at sterilization</labl>
  <imputation>Parity at sterilization</imputation>
  <security>Parity at sterilization</security>
  <embargo>Parity at sterilization</embargo>
  <respUnit>Parity at sterilization</respUnit>
  <qstn>
    <qstnLit>322) In what month and year was the sterilization operation performed?

MONTH: ___ (GO TO 336)
YEAR: ___ (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5 or more</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERILPAR (V322) reports the parity of the women at the time of their sterilization, top-coded at 5+ children.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPSTERMARDUR" name="C_FPSTERMARDUR" files="C" intrvl="discrete">
  <labl>Marital duration at time of sterilization</labl>
  <imputation>Marital duration at time of sterilization</imputation>
  <security>Marital duration at time of sterilization</security>
  <embargo>Marital duration at time of sterilization</embargo>
  <respUnit>Marital duration at time of sterilization</respUnit>
  <qstn>
    <qstnLit>322) In what month and year was the sterilization operation performed?

MONTH: ___ (GO TO 336)
YEAR: ___ (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <labl>Single, before marriage</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>0 - 4 years</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>5 - 9 years</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>10 - 14 years</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>15 - 19 years</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>20 - 24 years</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>25 - 29 years</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERMARDUR (V321) reports, in 5-year groups, the women's marital duration at the time of their sterilization.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPSTERYRAGO" name="C_FPSTERYRAGO" files="C" intrvl="discrete">
  <labl>Years since sterilization</labl>
  <imputation>Years since sterilization</imputation>
  <security>Years since sterilization</security>
  <embargo>Years since sterilization</embargo>
  <respUnit>Years since sterilization</respUnit>
  <qstn>
    <qstnLit>322) In what month and year was the sterilization operation performed?

MONTH: ___ (GO TO 336)
YEAR: ___ (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Less than 2 years</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2 - 3 years</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>4 - 5 years</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>6 - 7 years</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>8 - 9 years</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>10 or more years</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERYRAGO (V319) reports the number of years since their sterilization operation, using 2-year groups, top-coded at 10+ years.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPSTERILDTCMC" name="C_FPSTERILDTCMC" files="C" intrvl="discrete">
  <labl>Date when sterilized (CMC)</labl>
  <imputation>Date when sterilized (CMC)</imputation>
  <security>Date when sterilized (CMC)</security>
  <embargo>Date when sterilized (CMC)</embargo>
  <respUnit>Date when sterilized (CMC)</respUnit>
  <qstn>
    <qstnLit>322) In what month and year was the sterilization operation performed?

MONTH: ___ (GO TO 336)
YEAR: ___ (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERILDTCMC reports the century month code (CMC) for the date of their sterilization.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPSTERILMO" name="C_FPSTERILMO" files="C" intrvl="discrete">
  <labl>Month of sterilization</labl>
  <imputation>Month of sterilization</imputation>
  <security>Month of sterilization</security>
  <embargo>Month of sterilization</embargo>
  <respUnit>Month of sterilization</respUnit>
  <qstn>
    <qstnLit>322) In what month and year was the sterilization operation performed?

MONTH: ___ (GO TO 336)
YEAR: ___ (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERILMO reports the calendar month of their sterilization. The calendar year of their sterilization is reported in FPSTERILYR.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPSTERILYR" name="C_FPSTERILYR" files="C" intrvl="discrete">
  <labl>Year when sterilized</labl>
  <imputation>Year when sterilized</imputation>
  <security>Year when sterilized</security>
  <embargo>Year when sterilized</embargo>
  <respUnit>Year when sterilized</respUnit>
  <qstn>
    <qstnLit>322) In what month and year was the sterilization operation performed?

MONTH: ___ (GO TO 336)
YEAR: ___ (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERILYR reports the calendar year of their sterilization. The calendar month of their sterilization is reported in FPSTERILMO.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPSTERCOMP" name="C_FPSTERCOMP" files="C" intrvl="discrete">
  <labl>Completeness of information - date of sterilization</labl>
  <imputation>Completeness of information - date of sterilization</imputation>
  <security>Completeness of information - date of sterilization</security>
  <embargo>Completeness of information - date of sterilization</embargo>
  <respUnit>Completeness of information - date of sterilization</respUnit>
  <qstn>
    <qstnLit>322) In what month and year was the sterilization operation performed?

MONTH: ___ (GO TO 336)
YEAR: ___ (GO TO 336)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Month and year given</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Month imputed, year given</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Month given, year imputed (date placed)</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>No information given (date placed)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>From calendar</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who have been sterilized or whose partners have been sterilized, FPSTERCOMP reports the completeness of information about the date of their sterilization.</txt>
  <concept>
    <title>Sterilization Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPRADIOHR" name="C_FPRADIOHR" files="C" intrvl="discrete">
  <labl>Heard FP message on radio</labl>
  <imputation>Heard FP message on radio</imputation>
  <security>Heard FP message on radio</security>
  <embargo>Heard FP message on radio</embargo>
  <respUnit>Heard FP message on radio</respUnit>
  <qstn>
    <qstnLit>336) In the past month, have you heard a message about family planning on:

The radio?
The television?

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, only once</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, more than once</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPRADIOHR (V384A) indicates whether the woman heard family planning message(s) on the radio in the last few months. Some samples specify other periods of time. See Comparability.</txt>
  <concept>
    <title>Information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPTVHR" name="C_FPTVHR" files="C" intrvl="discrete">
  <labl>Heard FP message on TV recently</labl>
  <imputation>Heard FP message on TV recently</imputation>
  <security>Heard FP message on TV recently</security>
  <embargo>Heard FP message on TV recently</embargo>
  <respUnit>Heard FP message on TV recently</respUnit>
  <qstn>
    <qstnLit>336) In the past month, have you heard a message about family planning on:

The radio?
The television?

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTVHR (V384B) indicates whether the woman heard family planning message(s) on television in the last few months. Some samples specify other periods of time. See Comparability.</txt>
  <concept>
    <title>Information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPMEDIAOK" name="C_FPMEDIAOK" files="C" intrvl="discrete">
  <labl>Acceptability of FP message on radio or TV</labl>
  <imputation>Acceptability of FP message on radio or TV</imputation>
  <security>Acceptability of FP message on radio or TV</security>
  <embargo>Acceptability of FP message on radio or TV</embargo>
  <respUnit>Acceptability of FP message on radio or TV</respUnit>
  <qstn>
    <qstnLit>337) Do you find it acceptable or not that information about family planning is provided on the radio and in newspapers?

ACCEPTABLE 1
NOT ACCEPTABLE 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <labl>Not acceptable</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Acceptable</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>FPMEDIAOK (V366) indicates whether the woman considered family planning messages on radio or television to be acceptable or unacceptable.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.</txt>
  <concept>
    <title>Information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPKNOMODSRC" name="C_FPKNOMODSRC" files="C" intrvl="discrete">
  <labl>Know source for modern FP method</labl>
  <imputation>Know source for modern FP method</imputation>
  <security>Know source for modern FP method</security>
  <embargo>Know source for modern FP method</embargo>
  <respUnit>Know source for modern FP method</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>Doesn't know source</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Knows source for modern method</labl>
  </catgry>
  <txt>FPKNOMODSRC (V303) indicates whether the woman knew of source from which she believed she could obtain a modern method of family planning.  Whether the source existed and whether it could supply the method was not verified.  

In the DHS, the following family planning methods are considered modern methods: Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPKNOSRCCON" name="C_FPKNOSRCCON" files="C" intrvl="discrete">
  <labl>Know source of information for condom: Yes or no</labl>
  <imputation>Know source of information for condom: Yes or no</imputation>
  <security>Know source of information for condom: Yes or no</security>
  <embargo>Know source of information for condom: Yes or no</embargo>
  <respUnit>Know source of information for condom: Yes or no</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Not asked</labl>
  </catgry>
  <txt>FPKNOSRCCON (V306_05) is a dichotomous variable indicating whether the woman knew a place someone could go to get a male condom to delay or avoid pregnancy.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPKNOSRCDIA" name="C_FPKNOSRCDIA" files="C" intrvl="discrete">
  <labl>Know source of information for diaphragm: Yes or no</labl>
  <imputation>Know source of information for diaphragm: Yes or no</imputation>
  <security>Know source of information for diaphragm: Yes or no</security>
  <embargo>Know source of information for diaphragm: Yes or no</embargo>
  <respUnit>Know source of information for diaphragm: Yes or no</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Not asked</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOSRCDIA (V306_04) is a dichotomous variable indicating whether the woman knew a place someone could go to get a diaphragm/foam/jelly to delay or avoid pregnancy.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPKNOSRCFST" name="C_FPKNOSRCFST" files="C" intrvl="discrete">
  <labl>Know source of information for female sterilization: Yes or no</labl>
  <imputation>Know source of information for female sterilization: Yes or no</imputation>
  <security>Know source of information for female sterilization: Yes or no</security>
  <embargo>Know source of information for female sterilization: Yes or no</embargo>
  <respUnit>Know source of information for female sterilization: Yes or no</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Not asked</labl>
  </catgry>
  <txt>FPKNOSRCFST (V306_06) is a dichotomous variable indicating whether the woman knew a place someone could go to get female sterilization to delay or avoid pregnancy.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPKNOSRCINJ" name="C_FPKNOSRCINJ" files="C" intrvl="discrete">
  <labl>Know source of information for injectable contraception: Yes or no</labl>
  <imputation>Know source of information for injectable contraception: Yes or no</imputation>
  <security>Know source of information for injectable contraception: Yes or no</security>
  <embargo>Know source of information for injectable contraception: Yes or no</embargo>
  <respUnit>Know source of information for injectable contraception: Yes or no</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Not asked</labl>
  </catgry>
  <txt>FPKNOSRCINJ (V306_03) is a dichotomous variable indicating whether the woman knew a place someone could go to get injectable contraception to delay or avoid pregnancy.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPKNOSRCIUD" name="C_FPKNOSRCIUD" files="C" intrvl="discrete">
  <labl>Know source of information for IUD: Yes or no</labl>
  <imputation>Know source of information for IUD: Yes or no</imputation>
  <security>Know source of information for IUD: Yes or no</security>
  <embargo>Know source of information for IUD: Yes or no</embargo>
  <respUnit>Know source of information for IUD: Yes or no</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Not asked</labl>
  </catgry>
  <txt>FPKNOSRCIUD (V306_02) is a dichotomous variable indicating whether the woman knew a place someone could go to get an IUD to delay or avoid pregnancy.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPKNOSRCMST" name="C_FPKNOSRCMST" files="C" intrvl="discrete">
  <labl>Know source of information for male sterilization: Yes or no</labl>
  <imputation>Know source of information for male sterilization: Yes or no</imputation>
  <security>Know source of information for male sterilization: Yes or no</security>
  <embargo>Know source of information for male sterilization: Yes or no</embargo>
  <respUnit>Know source of information for male sterilization: Yes or no</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Not asked</labl>
  </catgry>
  <txt>FPKNOSRCMST (V306_07) is a dichotomous variable indicating whether the woman knew a place someone could go to get male sterilization to delay or avoid pregnancy.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPKNOSRCPIL" name="C_FPKNOSRCPIL" files="C" intrvl="discrete">
  <labl>Know source of information for Pill: Yes or no</labl>
  <imputation>Know source of information for Pill: Yes or no</imputation>
  <security>Know source of information for Pill: Yes or no</security>
  <embargo>Know source of information for Pill: Yes or no</embargo>
  <respUnit>Know source of information for Pill: Yes or no</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOSRCPIL (V306_01) is a dichotomous variable indicating whether the woman knew a place someone could go to get the Pill to delay or avoid pregnancy.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPKNOSRCRHY" name="C_FPKNOSRCRHY" files="C" intrvl="discrete">
  <labl>Know source of information for rhythm: Yes or no</labl>
  <imputation>Know source of information for rhythm: Yes or no</imputation>
  <security>Know source of information for rhythm: Yes or no</security>
  <embargo>Know source of information for rhythm: Yes or no</embargo>
  <respUnit>Know source of information for rhythm: Yes or no</respUnit>
  <qstn>
    <qstnLit>304) Do you know where a person could go to get (METHOD)?

01. PILL

YES 1
NO 2

02. IUD

YES 1
NO 2

03. INJECTIONS

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

07. MALE STERILIZATION Do you know where a person can go to undergo sterilization?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE Do you know where a person can obtain advice on how to use periodic abstinence?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Not asked</labl>
  </catgry>
  <txt>FPKNOSRCRHY (V306_08) is a dichotomous variable indicating whether the woman knew a place someone could go to learn about rhythm (periodic abstinence) to delay or avoid pregnancy.</txt>
  <concept>
    <title>Source of information on family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPYNOTFUS" name="C_FPYNOTFUS" files="C" intrvl="discrete">
  <labl>Why not intend to use FP in future</labl>
  <imputation>Why not intend to use FP in future</imputation>
  <security>Why not intend to use FP in future</security>
  <embargo>Why not intend to use FP in future</embargo>
  <respUnit>Why not intend to use FP in future</respUnit>
  <qstn>
    <qstnLit>327) What is the main reason you do not intend to use a method?

WANTS CHILDREN 01 (GO TO 332)
LACK OF INFORMATION 02(GO TO 332)
PARTNER DISAPPROVES 03(GO TO 332)
COST TOO MUCH 04 (GO TO 332)
SIDE EFFECTS 05 (GO TO 332)
HEALTH PROBLEMS 06 (GO TO 332)
HARD TO GET METHODS 07(GO TO 332)
RELIGION 08(GO TO 332)
OPPOSED TO FAMILY PLANNING 09(GO TO 332)
FATALIST 10(GO TO 332)
OTHER PEOPLE OPPOSED 11(GO TO 332)
INFREQUENT SEX 12(GO TO 332)
DIFFICULT TO GET PREGNANT 13 (GO TO 332)
MENOPAUSAL/HAD HYSTERECTOMY 14 (GO TO 332)
INCONVENIENT 15 (GO TO 332)
UNMARRIED 16 (GO TO 332)
OTHER (SPECIFY): ___ 17 (GO TO 332)
DON'T KNOW 98 (GO TO 332)</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>NOT MARRIED</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Not married</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Not intending to marry</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Inconsistent says not married</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>OTHER LOW FERTILITY RISK</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Not having sex</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Infrequent sex</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Menopausal or hysterectomy</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Subfecund, infecund</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Postpartum, breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Husband ill or subfecund</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>WANTS CHILDREN</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Wants more children</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Wants son</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Wants daughter</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>Fatalistic</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>Wants as many children as possible</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>OPPOSITION TO USE</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Respondent opposed</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Husband opposed/makes decision on FP</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Others opposed</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>Religious prohibition</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>Cultural taboos</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>Rumors</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>LACK OF KNOWLEDGE</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Knows no method</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Knows no source</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>METHOD-RELATED</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Health concerns</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>Fear side effects</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>Lack of access</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>Cost too much</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>Inconvenient to use</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>Interfere with body</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>Sterilization concerns</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women not now using a contraceptive method and not intending to do so in the future, FPYNOTFUS (V376) reports the reason the woman doesn't intend to use family planning in the future.

When children are chosen as the unit of analysis, the woman respondent indicates the mother of the child.

Responses are grouped into the following broad categories, each with a different first digit: not married, other low fertility risk, wants children, opposition to use, lack of knowledge, method-related, and other. Specific responses within these categories are distinguished by the second digit of the codes.</txt>
  <concept>
    <title>Why not use family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPTYPPILL" name="C_FPTYPPILL" files="C" intrvl="discrete">
  <labl>Type of method: Pill</labl>
  <imputation>Type of method: Pill</imputation>
  <security>Type of method: Pill</security>
  <embargo>Type of method: Pill</embargo>
  <respUnit>Type of method: Pill</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPPILL (V304A_01) reports whether the Pill is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPPILL (V304A_01) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPTYPIUD" name="C_FPTYPIUD" files="C" intrvl="discrete">
  <labl>Type of method: IUD</labl>
  <imputation>Type of method: IUD</imputation>
  <security>Type of method: IUD</security>
  <embargo>Type of method: IUD</embargo>
  <respUnit>Type of method: IUD</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPIUD (V304A_02) reports whether the intrauterine device (IUD) is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPIUD (V304A_02) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPTYPINJ" name="C_FPTYPINJ" files="C" intrvl="discrete">
  <labl>Type of method: Injectables</labl>
  <imputation>Type of method: Injectables</imputation>
  <security>Type of method: Injectables</security>
  <embargo>Type of method: Injectables</embargo>
  <respUnit>Type of method: Injectables</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPINJ (V304A_03) reports whether injectable contraception is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPINJ (V304A_03) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPTYPDIA" name="C_FPTYPDIA" files="C" intrvl="discrete">
  <labl>Type of method: Diaphragm</labl>
  <imputation>Type of method: Diaphragm</imputation>
  <security>Type of method: Diaphragm</security>
  <embargo>Type of method: Diaphragm</embargo>
  <respUnit>Type of method: Diaphragm</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPDIA (V304A_04) reports whether diaphragm or spermicides, such as foam or jelly, is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. Some phases combine diaphragm and spermicides in the response and some are separate; see Comparability.

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability.

Additionally, while FPTYPDIA (V304A_04) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variableÂ FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPTYPCON" name="C_FPTYPCON" files="C" intrvl="discrete">
  <labl>Type of method: Condom</labl>
  <imputation>Type of method: Condom</imputation>
  <security>Type of method: Condom</security>
  <embargo>Type of method: Condom</embargo>
  <respUnit>Type of method: Condom</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPCON (V304A_05) reports whether the male condom is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample.

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPCON (V304A_05) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPTYPFST" name="C_FPTYPFST" files="C" intrvl="discrete">
  <labl>Type of method: Female sterilization</labl>
  <imputation>Type of method: Female sterilization</imputation>
  <security>Type of method: Female sterilization</security>
  <embargo>Type of method: Female sterilization</embargo>
  <respUnit>Type of method: Female sterilization</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPFST (V304A_06) reports whether female sterilization is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPFST (V304A_06) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPTYPMST" name="C_FPTYPMST" files="C" intrvl="discrete">
  <labl>Type of method: Male sterilization</labl>
  <imputation>Type of method: Male sterilization</imputation>
  <security>Type of method: Male sterilization</security>
  <embargo>Type of method: Male sterilization</embargo>
  <respUnit>Type of method: Male sterilization</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPMST (V304A_07) reports whether male sterilization is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPMST (V304A_07) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPTYPRHY" name="C_FPTYPRHY" files="C" intrvl="discrete">
  <labl>Type of method: Rhythm method</labl>
  <imputation>Type of method: Rhythm method</imputation>
  <security>Type of method: Rhythm method</security>
  <embargo>Type of method: Rhythm method</embargo>
  <respUnit>Type of method: Rhythm method</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPRHY (V304A_08) reports whether the rhythm method (periodic abstinence) is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample.

In the standard DHS recode manuals, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability.

Additionally, while FPTYPRHY (V304A_08) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPTYPWD" name="C_FPTYPWD" files="C" intrvl="discrete">
  <labl>Type of method: Withdrawal</labl>
  <imputation>Type of method: Withdrawal</imputation>
  <security>Type of method: Withdrawal</security>
  <embargo>Type of method: Withdrawal</embargo>
  <respUnit>Type of method: Withdrawal</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPWD (V304A_09) reports whether withdrawal is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample.

In the standard DHS recode manuals, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability.

Additionally, while FPTYPWD (V304A_09) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPTYPCHARM" name="C_FPTYPCHARM" files="C" intrvl="discrete">
  <labl>Type of method: Charms or amulets</labl>
  <imputation>Type of method: Charms or amulets</imputation>
  <security>Type of method: Charms or amulets</security>
  <embargo>Type of method: Charms or amulets</embargo>
  <respUnit>Type of method: Charms or amulets</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPCHARM reports whether a charm or amulet is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability. 

Additionally, while FPTYPCHARM and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPTYPRELIG" name="C_FPTYPRELIG" files="C" intrvl="discrete">
  <labl>Type of method: Religion (Marabout or coran)</labl>
  <imputation>Type of method: Religion (Marabout or coran)</imputation>
  <security>Type of method: Religion (Marabout or coran)</security>
  <embargo>Type of method: Religion (Marabout or coran)</embargo>
  <respUnit>Type of method: Religion (Marabout or coran)</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPRELIG reports whether the use of religion, such as a religious holy person or holy book, is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the standard DHS recode manuals, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples. In some cases, however, there are exceptions to this organization; see Comparability. 

Additionally, while FPTYPRELIG and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPTYPOM" name="C_FPTYPOM" files="C" intrvl="discrete">
  <labl>Type of method: Other method</labl>
  <imputation>Type of method: Other method</imputation>
  <security>Type of method: Other method</security>
  <embargo>Type of method: Other method</embargo>
  <respUnit>Type of method: Other method</respUnit>
  <qstn>
    <qstnLit>302) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD.

01. PILL Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD Some women have a "sterilet" that a doctor or nurse places in their uterus .

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL Men can be careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPOM (V304A_10) reports whether any "other" method reported by the woman is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. The meaning of "other" depends on the specific response categories included in a given sample.

In the DHS in general, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

Additionally, while FPTYPOM (V304A_10) and the other "FPTYP" variables report whether a specific method is considered to be modern, traditional, or folkloric method in a given sample, IPUMS-DHS users may be interested in the complementary variable FPTYPNOW (V313), which indicates whether the woman's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FPTALKHUSNO" name="C_FPTALKHUSNO" files="C" intrvl="discrete">
  <labl>Number of times discussed FP with partner in past year</labl>
  <imputation>Number of times discussed FP with partner in past year</imputation>
  <security>Number of times discussed FP with partner in past year</security>
  <embargo>Number of times discussed FP with partner in past year</embargo>
  <respUnit>Number of times discussed FP with partner in past year</respUnit>
  <qstn>
    <qstnLit>611) How often have you talked to your husband/partner about this subject in the last 12 months?

NEVER 1
ONCE OR TWICE 2
MORE OFTEN 3</qstnLit>
  </qstn>
  <catgry>
    <labl>Never</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Once or twice</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>More often</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <txt>FPTALKHUSNO (V611) reports the number of the times the woman has recently discussed family planning with her husband/partner.</txt>
  <concept>
    <title>Discussion of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TIMESINCESEX" name="C_TIMESINCESEX" files="C" intrvl="discrete">
  <labl>Time since last intercourse</labl>
  <imputation>Time since last intercourse</imputation>
  <security>Time since last intercourse</security>
  <embargo>Time since last intercourse</embargo>
  <respUnit>Time since last intercourse</respUnit>
  <qstn>
    <qstnLit>516) When was the last time you had sexual intercourse?

DAYS: ___ 1
WEEKS: ___ 2
MONTHS: ___ 3
YEARS: ___ 4
BEFORE LAST BIRTH 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>154</catValu>
    <labl>54 days</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53 days</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52 days</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51 days</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50 days</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49 days</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48 days</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47 days</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46 days</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 days</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 days</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 days</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 days</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 days</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than 1 day ago</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55 days</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56 days</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57 days</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58 days</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59 days</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60 days</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61 days</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62 days</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63 days</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64 days</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65 days</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66 days</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67 days</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68 days</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69 days</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70 days</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71 days</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72 days</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73 days</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74 days</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75 days</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76 days</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77 days</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78 days</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79 days</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80 days</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81 days</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82 days</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83 days</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84 days</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85 days</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86 days</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87 days</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88 days</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89 days</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90 days</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>91 days</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>92 days</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>93 days</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>94 days</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>95 days</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>96 days</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>97 days</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>Days, number inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days, number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>WEEKS</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 week</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 weeks</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 weeks</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 weeks</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 weeks</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 weeks</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 weeks</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 weeks</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 weeks</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 weeks</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 weeks</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 weeks</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 weeks</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 weeks</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 weeks</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 weeks</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 weeks</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 weeks</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 weeks</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 weeks</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 weeks</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 weeks</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 weeks</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 weeks</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 weeks</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 weeks</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 weeks</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 weeks</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 weeks</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 weeks</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 weeks</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 weeks</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 weeks</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 weeks</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35 weeks</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36 weeks</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37 weeks</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38 weeks</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39 weeks</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40 weeks</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41 weeks</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42 weeks</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43 weeks</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44 weeks</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45 weeks</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46 weeks</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47 weeks</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48 weeks</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49 weeks</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50 weeks</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51 weeks</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52 weeks</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>Weeks, inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Weeks, number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>MONTHS</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>337</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>338</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>339</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>341</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>342</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>343</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>344</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>345</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>346</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>347</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>348</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>349</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>352</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>353</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>354</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>355</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>356</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>357</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>358</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>359</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>361</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>362</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>363</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>364</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>365</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>366</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>367</catValu>
    <labl>67 months</labl>
  </catgry>
  <catgry>
    <catValu>368</catValu>
    <labl>68 months</labl>
  </catgry>
  <catgry>
    <catValu>369</catValu>
    <labl>69 months</labl>
  </catgry>
  <catgry>
    <catValu>370</catValu>
    <labl>70 months</labl>
  </catgry>
  <catgry>
    <catValu>371</catValu>
    <labl>71 months</labl>
  </catgry>
  <catgry>
    <catValu>372</catValu>
    <labl>72 months</labl>
  </catgry>
  <catgry>
    <catValu>373</catValu>
    <labl>73 months</labl>
  </catgry>
  <catgry>
    <catValu>374</catValu>
    <labl>74 months</labl>
  </catgry>
  <catgry>
    <catValu>375</catValu>
    <labl>75 months</labl>
  </catgry>
  <catgry>
    <catValu>376</catValu>
    <labl>76 months</labl>
  </catgry>
  <catgry>
    <catValu>377</catValu>
    <labl>77 months</labl>
  </catgry>
  <catgry>
    <catValu>378</catValu>
    <labl>78 months</labl>
  </catgry>
  <catgry>
    <catValu>379</catValu>
    <labl>79 months</labl>
  </catgry>
  <catgry>
    <catValu>380</catValu>
    <labl>80 months</labl>
  </catgry>
  <catgry>
    <catValu>381</catValu>
    <labl>81 months</labl>
  </catgry>
  <catgry>
    <catValu>382</catValu>
    <labl>82 months</labl>
  </catgry>
  <catgry>
    <catValu>383</catValu>
    <labl>83 months</labl>
  </catgry>
  <catgry>
    <catValu>384</catValu>
    <labl>84 months</labl>
  </catgry>
  <catgry>
    <catValu>385</catValu>
    <labl>85 months</labl>
  </catgry>
  <catgry>
    <catValu>386</catValu>
    <labl>86 months</labl>
  </catgry>
  <catgry>
    <catValu>387</catValu>
    <labl>87 months</labl>
  </catgry>
  <catgry>
    <catValu>388</catValu>
    <labl>88 months</labl>
  </catgry>
  <catgry>
    <catValu>389</catValu>
    <labl>89 months</labl>
  </catgry>
  <catgry>
    <catValu>390</catValu>
    <labl>90 months</labl>
  </catgry>
  <catgry>
    <catValu>391</catValu>
    <labl>91 months</labl>
  </catgry>
  <catgry>
    <catValu>392</catValu>
    <labl>92 months</labl>
  </catgry>
  <catgry>
    <catValu>393</catValu>
    <labl>93 months</labl>
  </catgry>
  <catgry>
    <catValu>394</catValu>
    <labl>94 months</labl>
  </catgry>
  <catgry>
    <catValu>395</catValu>
    <labl>95 months</labl>
  </catgry>
  <catgry>
    <catValu>396</catValu>
    <labl>96 months</labl>
  </catgry>
  <catgry>
    <catValu>397</catValu>
    <labl>97 months</labl>
  </catgry>
  <catgry>
    <catValu>398</catValu>
    <labl>Months, inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Months, number missing</labl>
  </catgry>
  <catgry>
    <catValu>400</catValu>
    <labl>YEARS</labl>
  </catgry>
  <catgry>
    <catValu>401</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>402</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>403</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>404</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>405</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>406</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>407</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>408</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>409</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>410</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>411</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>412</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>413</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>414</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>415</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>416</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>417</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>418</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>419</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>420</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>421</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>422</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>423</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>424</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>425</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>426</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>427</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>428</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>429</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>430</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>431</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>432</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>433</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>434</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>435</catValu>
    <labl>35 years</labl>
  </catgry>
  <catgry>
    <catValu>436</catValu>
    <labl>36 years</labl>
  </catgry>
  <catgry>
    <catValu>437</catValu>
    <labl>37 years</labl>
  </catgry>
  <catgry>
    <catValu>438</catValu>
    <labl>38 years</labl>
  </catgry>
  <catgry>
    <catValu>439</catValu>
    <labl>39 years</labl>
  </catgry>
  <catgry>
    <catValu>440</catValu>
    <labl>40 years</labl>
  </catgry>
  <catgry>
    <catValu>441</catValu>
    <labl>41 years</labl>
  </catgry>
  <catgry>
    <catValu>442</catValu>
    <labl>42 years</labl>
  </catgry>
  <catgry>
    <catValu>443</catValu>
    <labl>43 years</labl>
  </catgry>
  <catgry>
    <catValu>444</catValu>
    <labl>44 years</labl>
  </catgry>
  <catgry>
    <catValu>445</catValu>
    <labl>45 years</labl>
  </catgry>
  <catgry>
    <catValu>448</catValu>
    <labl>48 years</labl>
  </catgry>
  <catgry>
    <catValu>449</catValu>
    <labl>49 years</labl>
  </catgry>
  <catgry>
    <catValu>450</catValu>
    <labl>50+ years</labl>
  </catgry>
  <catgry>
    <catValu>499</catValu>
    <labl>Years, number missing</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>With former husband</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>Within last 4 weeks</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Before last birth</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>446</catValu>
    <labl>46 years</labl>
  </catgry>
  <catgry>
    <catValu>447</catValu>
    <labl>47 years</labl>
  </catgry>
  <txt>TIMESINCESEX (V527) reports how many days, weeks, months or years had passed since the woman had sexual intercourse with her most recent sexual partner.</txt>
  <concept>
    <title>Recent sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TIMESINCESEXD" name="C_TIMESINCESEXD" files="C" intrvl="discrete">
  <labl>Time since last intercourse in days</labl>
  <imputation>Time since last intercourse in days</imputation>
  <security>Time since last intercourse in days</security>
  <embargo>Time since last intercourse in days</embargo>
  <respUnit>Time since last intercourse in days</respUnit>
  <qstn>
    <qstnLit>516) When was the last time you had sexual intercourse?

DAYS: ___ 1
WEEKS: ___ 2
MONTHS: ___ 3
YEARS: ___ 4
BEFORE LAST BIRTH 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31+ days</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>Not married/no regular partner</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>Within last 4 weeks</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>Before last birth</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>With former husband</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TIMESINCESEXD (V528) reports the number of days that have passed since the respondent last had sexual intercourse. Durations of more than 30 days are grouped into "31+."

If the respondent reported having sexual intercourse in the last 4 weeks but replied that her last sexual intercourse was one month before the interview (in TIMESINCESEX (V527), this response is recoded to "30" in TIMESINCESEXD. In all other cases, a response of "One month" in TIMESINCESEX is coded as "31+."</txt>
  <concept>
    <title>Recent sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TIMESINCESEXM" name="C_TIMESINCESEXM" files="C" intrvl="discrete">
  <labl>Time since last intercourse in months (imputed)</labl>
  <imputation>Time since last intercourse in months (imputed)</imputation>
  <security>Time since last intercourse in months (imputed)</security>
  <embargo>Time since last intercourse in months (imputed)</embargo>
  <respUnit>Time since last intercourse in months (imputed)</respUnit>
  <qstn>
    <qstnLit>516) When was the last time you had sexual intercourse?

DAYS: ___ 1
WEEKS: ___ 2
MONTHS: ___ 3
YEARS: ___ 4
BEFORE LAST BIRTH 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
    <labl>Less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>No partner</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>With former husband</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Before last birth</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TIMESINCESEXM (V529) reports the computed time (in months) since the respondent last had sexual intercourse. 

This variable's value is computed from the responses in TIMESINCESEX (V527), with durations exceeding the interval since the last birth recoded as "Before last birth."</txt>
  <concept>
    <title>Recent sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TIMESINCESEXFLAG" name="C_TIMESINCESEXFLAG" files="C" intrvl="discrete">
  <labl>Flag for time since last sex (months, imputed)</labl>
  <imputation>Flag for time since last sex (months, imputed)</imputation>
  <security>Flag for time since last sex (months, imputed)</security>
  <embargo>Flag for time since last sex (months, imputed)</embargo>
  <respUnit>Flag for time since last sex (months, imputed)</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Duration greater than time since last birth and did not report pp abstinence</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Duration plus abstinence after last birth greater than time since last birth</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Reported, but did not resume sex after last birth</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Before last birth, but no births</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Before last birth, but currently pregnant</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Before last birth, but resumed sex after last birth</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Reported but before last pregnancy</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Reported but inconsistent with times had sex in past 4 weeks</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Reported but before last birth</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TIMESINCESEXFLAG (V530) is a flag variable reporting the type of problem found when editing responses about the time that has passed since the respondent last had sexual intercourse (in TIMESINCESEXM (V529)).

Below are descriptions of each code:

0 = No flag
1 = Duration reported is greater than the interval since the last birth, and the respondent did not say in the maternity section (PPABSTAINNOW (V406)) that she is still abstaining from sexual relations since her last birth
2 = Duration reported plus the duration of abstinence after the last birth (PPABMO_01 (M8_1)) is greater than the interval since the last birth
3 = Duration reported, but the respondent has not resumed sexual intercourse since the last birth
4 = Respondent reported last intercourse was before her last birth, but she has never given birth
5 = Respondent reported last intercourse was before her last birth, but she was currently pregnant (PREGNANT (V213).
6 = Respondent reported last intercourse was before her last birth, but she reported in the maternity section that she had resumed sexual intercourse after her last birth
7 = Respondent reported a duration since her last intercourse, but this would place her last intercourse before her last pregnancy
8 = Respondent reported a duration since her last intercourse, but this response was inconsistent with her response concerning the number of times she had sexual intercourse in the 4 weeks preceding the survey (SX4WKX (V526))
9 = Duration reported, but would place her last sexual intercourse before her last birth</txt>
  <concept>
    <title>Recent sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_SX4WKNO" name="C_SX4WKNO" files="C" intrvl="discrete">
  <labl>Times had sex in last 4 weeks</labl>
  <imputation>Times had sex in last 4 weeks</imputation>
  <security>Times had sex in last 4 weeks</security>
  <embargo>Times had sex in last 4 weeks</embargo>
  <respUnit>Times had sex in last 4 weeks</respUnit>
  <qstn>
    <qstnLit>514) Now we need some details about your sexual activity in order to get a better understanding of contraception and fertility.

How many times did you have sexual intercourse in the last four weeks?

NUMBER OF TIMES: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
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    <labl>4</labl>
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    <labl>5</labl>
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    <labl>6</labl>
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    <labl>7</labl>
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    <catValu>08</catValu>
    <labl>8</labl>
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    <labl>9</labl>
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  <catgry>
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    <catValu>55</catValu>
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  <catgry>
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  <catgry>
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  <catgry>
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  <catgry>
    <catValu>82</catValu>
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  <catgry>
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  <catgry>
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  <catgry>
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  <catgry>
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  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>95+</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>SX4WKNO (V526) reports the number of times the respondent had sexual intercourse in last 4 weeks.</txt>
  <concept>
    <title>Recent sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_SX4WKAVG" name="C_SX4WKAVG" files="C" intrvl="discrete">
  <labl>Times respondent usually has sex in a month</labl>
  <imputation>Times respondent usually has sex in a month</imputation>
  <security>Times respondent usually has sex in a month</security>
  <embargo>Times respondent usually has sex in a month</embargo>
  <respUnit>Times respondent usually has sex in a month</respUnit>
  <qstn>
    <qstnLit>515) How many times in a month do you usually have sexual intercourse?

NUMBER OF TIMES: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
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  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
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  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
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  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
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  <catgry>
    <catValu>50</catValu>
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  <catgry>
    <catValu>51</catValu>
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  <catgry>
    <catValu>52</catValu>
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  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
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  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
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  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>95+</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>SX4WKAVG (V533) reports the number of times the respondent usually has sex in a month.</txt>
  <concept>
    <title>Recent sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_AGE1STSEX" name="C_AGE1STSEX" files="C" intrvl="discrete">
  <labl>Age at first intercourse</labl>
  <imputation>Age at first intercourse</imputation>
  <security>Age at first intercourse</security>
  <embargo>Age at first intercourse</embargo>
  <respUnit>Age at first intercourse</respUnit>
  <qstn>
    <qstnLit>517) How old were you when you first had sexual intercourse?

AGE: ___
FIRST TIME WHEN MARRIED 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Not had intercourse</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>Refused to respond</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>At first union</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>AGE1STSEX (V525) indicates the woman's self-reported age for the first time she had sexual intercourse.</txt>
  <concept>
    <title>First or ever sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_AGE1STSEXIMP" name="C_AGE1STSEXIMP" files="C" intrvl="discrete">
  <labl>Age at first intercourse (imputed)</labl>
  <imputation>Age at first intercourse (imputed)</imputation>
  <security>Age at first intercourse (imputed)</security>
  <embargo>Age at first intercourse (imputed)</embargo>
  <respUnit>Age at first intercourse (imputed)</respUnit>
  <qstn>
    <qstnLit>517) How old were you when you first had sexual intercourse?

AGE: ___
FIRST TIME WHEN MARRIED 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Not had sex</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Refused to respond</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>AGE1STSEXIMP (V531) reports the respondent's age at first sexual intercourse.

This variable is the same as AGE1STSEX (V525), except for women who reported their first sexual intercourse was at the time of their union. For these women, the age at first sex is taken from the age at first union. In cases where the age at first sex was inconsistent with the age at conception of the first child, but only by one year, the age at first sex was reduced by one year.</txt>
  <concept>
    <title>First or ever sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_AGE1STSEXFLAG" name="C_AGE1STSEXFLAG" files="C" intrvl="discrete">
  <labl>Flag for age at first intercourse</labl>
  <imputation>Flag for age at first intercourse</imputation>
  <security>Flag for age at first intercourse</security>
  <embargo>Flag for age at first intercourse</embargo>
  <respUnit>Flag for age at first intercourse</respUnit>
  <catgry>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>After interview</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>After conception by 1 year or more</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>After conception by less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>At marriage, but never married</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>At marriage, but after conception</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>After marriage</labl>
  </catgry>
  <txt>AGE1STSEXFLAG (V532) is a flag variable reporting the type of inconsistency found when editing responses about when the respondent first had sexual intercourse.

Below are descriptions of each code:

0 = No flag
1 = Respondent reported age at first sexual intercourse that exceeds her current age (AGE (V012))
2 = Respondent reported her age at first sexual intercourse as occurring more than one year after the conception of her first child
3 = Respondent reported her age at first sexual intercourse as occurring up to one year after the conception of her first child
4 = Respondent reported that her first sexual intercourse was at the time of her first marriage, but the respondent was never married (EVERMARRIED (V535))
5 = Respondent reported that her first sexual intercourse was at the time of her first marriage, but her first marriage occurred after the conception of her first child
6 = Respondent reported her first sexual intercourse as being some time after her first marriage</txt>
  <concept>
    <title>First or ever sexual experience Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DELCESRLAST" name="C_DELCESRLAST" files="C" intrvl="discrete">
  <labl>Last birth caesarean section</labl>
  <imputation>Last birth caesarean section</imputation>
  <security>Last birth caesarean section</security>
  <embargo>Last birth caesarean section</embargo>
  <respUnit>Last birth caesarean section</respUnit>
  <qstn>
    <qstnLit>414) Was (NAME) delivered by caesarian section?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the three to five years before the survey, DELCESRLAST (V401) indicates whether the last-born child was delivered by caesarean section. 

When children or births are the unit of analysis, this variable describes a characteristic of the mother, which causes allchildren of the mother to be coded the same way.

Question wording varies slightly across samples. See Comparability.</txt>
  <concept>
    <title>Maternal delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PPAMENNOW" name="C_PPAMENNOW" files="C" intrvl="discrete">
  <labl>Woman currently postpartum amenorrheic</labl>
  <imputation>Woman currently postpartum amenorrheic</imputation>
  <security>Woman currently postpartum amenorrheic</security>
  <embargo>Woman currently postpartum amenorrheic</embargo>
  <respUnit>Woman currently postpartum amenorrheic</respUnit>
  <qstn>
    <qstnLit>418) FOR MOST RECENT BIRTH ONLY: Has your period returned after the birth of (NAME)?

YES 1(GO TO 420)
NO 2 (GO TO 421)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>PPAMENNOW (V405) reports whether the woman is currently postpartum amenorrheic. This variable is created from the maternity history by checking if menstruation resumed after birth. Women who are currently pregnant (irrespective of whether the woman's period returned after her last birth) and women who did not have births in the last three to five years are automatically reported as not currently amenorrheic, and coded "No" (code 0). 

When children or births are the unit of analysis, this variable describes a characteristic of the mother, which causes all children of the mother to be coded the same way.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PPABSTAINNOW" name="C_PPABSTAINNOW" files="C" intrvl="discrete">
  <labl>Woman currently postpartum abstaining</labl>
  <imputation>Woman currently postpartum abstaining</imputation>
  <security>Woman currently postpartum abstaining</security>
  <embargo>Woman currently postpartum abstaining</embargo>
  <respUnit>Woman currently postpartum abstaining</respUnit>
  <qstn>
    <qstnLit>422) FOR MOST RECENT BIRTH: Have you resumed sexual relations since the birth of (NAME)?

YES 1
NO 2 (GO TO 424)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <txt>PPABSTAINNOW (V406) reports whether the woman is currently postpartum abstaining from sex. This variable is created from the maternity history by checking if the respondent has resumed sexual relations since her last birth. Women who did not have births in the last three to five years are automatically reported as not currently abstaining, and coded "No" (code 0). 

When children or births are the unit of analysis, this variable describes a characteristic of the mother, which causes all children of the mother to be coded the same way.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_IDEALPOSTPT" name="C_IDEALPOSTPT" files="C" intrvl="discrete">
  <labl>Ideal period for post-partum abstinence</labl>
  <imputation>Ideal period for post-partum abstinence</imputation>
  <security>Ideal period for post-partum abstinence</security>
  <embargo>Ideal period for post-partum abstinence</embargo>
  <respUnit>Ideal period for post-partum abstinence</respUnit>
  <qstn>
    <qstnLit>614) After childbirth, how much time should couples wait before starting to have sexual relations again?

MONTHS: ___ 1
YEARS: ___ 2
OTHER (SPECIFY): ___ 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>079</catValu>
    <labl>79 days</labl>
  </catgry>
  <catgry>
    <catValu>078</catValu>
    <labl>78 days</labl>
  </catgry>
  <catgry>
    <catValu>077</catValu>
    <labl>77 days</labl>
  </catgry>
  <catgry>
    <catValu>076</catValu>
    <labl>76 days</labl>
  </catgry>
  <catgry>
    <catValu>075</catValu>
    <labl>75 days</labl>
  </catgry>
  <catgry>
    <catValu>074</catValu>
    <labl>74 days</labl>
  </catgry>
  <catgry>
    <catValu>073</catValu>
    <labl>73 days</labl>
  </catgry>
  <catgry>
    <catValu>072</catValu>
    <labl>72 days</labl>
  </catgry>
  <catgry>
    <catValu>071</catValu>
    <labl>71 days</labl>
  </catgry>
  <catgry>
    <catValu>070</catValu>
    <labl>70 days</labl>
  </catgry>
  <catgry>
    <catValu>069</catValu>
    <labl>69 days</labl>
  </catgry>
  <catgry>
    <catValu>068</catValu>
    <labl>68 days</labl>
  </catgry>
  <catgry>
    <catValu>067</catValu>
    <labl>67 days</labl>
  </catgry>
  <catgry>
    <catValu>066</catValu>
    <labl>66 days</labl>
  </catgry>
  <catgry>
    <catValu>065</catValu>
    <labl>65 days</labl>
  </catgry>
  <catgry>
    <catValu>064</catValu>
    <labl>64 days</labl>
  </catgry>
  <catgry>
    <catValu>063</catValu>
    <labl>63 days</labl>
  </catgry>
  <catgry>
    <catValu>062</catValu>
    <labl>62 days</labl>
  </catgry>
  <catgry>
    <catValu>061</catValu>
    <labl>61 days</labl>
  </catgry>
  <catgry>
    <catValu>000</catValu>
    <labl>Less than one day</labl>
  </catgry>
  <catgry>
    <catValu>001</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>002</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>003</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>004</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>005</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>006</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>007</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>008</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>009</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>010</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>011</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>012</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>013</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>014</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>015</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>016</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>017</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>018</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>019</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>020</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>021</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>022</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>023</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>024</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>025</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>026</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>027</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>028</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>029</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>030</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>031</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>032</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>033</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>034</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>035</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>036</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>037</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>038</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>039</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>040</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>041</catValu>
    <labl>41 days</labl>
  </catgry>
  <catgry>
    <catValu>042</catValu>
    <labl>42 days</labl>
  </catgry>
  <catgry>
    <catValu>043</catValu>
    <labl>43 days</labl>
  </catgry>
  <catgry>
    <catValu>044</catValu>
    <labl>44 days</labl>
  </catgry>
  <catgry>
    <catValu>045</catValu>
    <labl>45 days</labl>
  </catgry>
  <catgry>
    <catValu>046</catValu>
    <labl>46 days</labl>
  </catgry>
  <catgry>
    <catValu>047</catValu>
    <labl>47 days</labl>
  </catgry>
  <catgry>
    <catValu>048</catValu>
    <labl>48 days</labl>
  </catgry>
  <catgry>
    <catValu>049</catValu>
    <labl>49 days</labl>
  </catgry>
  <catgry>
    <catValu>050</catValu>
    <labl>50 days</labl>
  </catgry>
  <catgry>
    <catValu>051</catValu>
    <labl>51 days</labl>
  </catgry>
  <catgry>
    <catValu>052</catValu>
    <labl>52 days</labl>
  </catgry>
  <catgry>
    <catValu>053</catValu>
    <labl>53 days</labl>
  </catgry>
  <catgry>
    <catValu>054</catValu>
    <labl>54 days</labl>
  </catgry>
  <catgry>
    <catValu>055</catValu>
    <labl>55 days</labl>
  </catgry>
  <catgry>
    <catValu>056</catValu>
    <labl>56 days</labl>
  </catgry>
  <catgry>
    <catValu>057</catValu>
    <labl>57 days</labl>
  </catgry>
  <catgry>
    <catValu>058</catValu>
    <labl>58 days</labl>
  </catgry>
  <catgry>
    <catValu>059</catValu>
    <labl>59 days</labl>
  </catgry>
  <catgry>
    <catValu>060</catValu>
    <labl>60 days</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than one month</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67 months</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68 months</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69 months</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70 months</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71 months</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72 months</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73 months</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74 months</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75 months</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76 months</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77 months</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78 months</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79 months</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80 months</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81 months</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82 months</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83 months</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84 months</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85 months</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86 months</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87 months</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88 months</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89 months</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90 months</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>91 months</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>92 months</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>93 months</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>94 months</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>95 months</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>96 months</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>97 months</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>98 months</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Months, unspecified number</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than one year</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35+ years</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Years, unspecified number</labl>
  </catgry>
  <catgry>
    <catValu>992</catValu>
    <labl>Up to couple</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>After weaning</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>After period returns</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Non-numeric response</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>080</catValu>
    <labl>80 days</labl>
  </catgry>
  <catgry>
    <catValu>081</catValu>
    <labl>81 days</labl>
  </catgry>
  <catgry>
    <catValu>082</catValu>
    <labl>82 days</labl>
  </catgry>
  <catgry>
    <catValu>083</catValu>
    <labl>83 days</labl>
  </catgry>
  <catgry>
    <catValu>084</catValu>
    <labl>84 days</labl>
  </catgry>
  <catgry>
    <catValu>085</catValu>
    <labl>85 days</labl>
  </catgry>
  <catgry>
    <catValu>086</catValu>
    <labl>86 days</labl>
  </catgry>
  <catgry>
    <catValu>087</catValu>
    <labl>87 days</labl>
  </catgry>
  <catgry>
    <catValu>088</catValu>
    <labl>88 days</labl>
  </catgry>
  <catgry>
    <catValu>089</catValu>
    <labl>89 days</labl>
  </catgry>
  <catgry>
    <catValu>090</catValu>
    <labl>90 days</labl>
  </catgry>
  <txt>IDEALPOSTPT (V608) reports what the woman thinks is the ideal duration for a couple to wait before starting sexual relations after the birth of a child.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_IDEALPOSTPT2" name="C_IDEALPOSTPT2" files="C" intrvl="discrete">
  <labl>Ideal period for post-partum abstinence (months and years only)</labl>
  <imputation>Ideal period for post-partum abstinence (months and years only)</imputation>
  <security>Ideal period for post-partum abstinence (months and years only)</security>
  <embargo>Ideal period for post-partum abstinence (months and years only)</embargo>
  <respUnit>Ideal period for post-partum abstinence (months and years only)</respUnit>
  <qstn>
    <qstnLit>614) After childbirth, how much time should couples wait before starting to have sexual relations again?

MONTHS: ___ 1
YEARS: ___ 2
OTHER (SPECIFY): ___ 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Less than one month</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67 months</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68 months</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69 months</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70 months</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71 months</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72 months</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73 months</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74 months</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75 months</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76 months</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77 months</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78 months</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79 months</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80 months</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81 months</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82 months</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83 months</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84 months</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85 months</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86 months</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87 months</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88 months</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89 months</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90 months</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>91 months</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>92 months</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>93 months</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>94 months</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>95 months</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>96 months</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>97 months</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>98 months</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Months, unspecified number</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Less than one year</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35+ years</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Years, unspecified number</labl>
  </catgry>
  <catgry>
    <catValu>992</catValu>
    <labl>Up to couple</labl>
  </catgry>
  <catgry>
    <catValu>993</catValu>
    <labl>After weaning</labl>
  </catgry>
  <catgry>
    <catValu>994</catValu>
    <labl>After period returns</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Non-numeric response</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>IDEALPOSTPT2 reports what the woman thinks is the ideal duration for a couple to wait before starting sexual relations after the birth of a child. Responses are given in month or year units; the complementary variable IDEALPOSTPT preserves the detailed responses given in days for a minority of samples.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_SEXBRSTFD" name="C_SEXBRSTFD" files="C" intrvl="discrete">
  <labl>Alright to have sex while breastfeeding</labl>
  <imputation>Alright to have sex while breastfeeding</imputation>
  <security>Alright to have sex while breastfeeding</security>
  <embargo>Alright to have sex while breastfeeding</embargo>
  <respUnit>Alright to have sex while breastfeeding</respUnit>
  <qstn>
    <qstnLit>615) Should a mother wait until she has completely stopped breastfeeding before starting to have sexual relations again, or doesn't it matter?

WAIT 1
DOESN'T MATTER 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Wait</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Doesn't matter</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>SEXBRSTFD (V609) indicates whether the woman thinks mothers should wait until they have stopped breastfeeding before resuming sexual relations after the birth of a child.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_MATERNITYIDX" name="C_MATERNITYIDX" files="C" intrvl="discrete">
  <labl>Number of children in maternity history</labl>
  <imputation>Number of children in maternity history</imputation>
  <security>Number of children in maternity history</security>
  <embargo>Number of children in maternity history</embargo>
  <respUnit>Number of children in maternity history</respUnit>
  <qstn>
    <qstnLit>402) ENTER THE LINE NUMBER, NAME, AND SURVIVAL STATUS OF EACH BIRTH SINCE JANUARY 1987 IN THE TABLE.

ASK THE QUESTIONS OF ALL THESE BIRTHS, BEGINNING WITH THE LAST BIRTH.

Now I would like to ask you some more questions about the health of all of the children you have had in the past 5 years. We will talk about one child at a time.

LINE NUMBER FROM QUESTION 212: ___

FROM QUESTION 212 AND QUESTION 216:

NAME: ___

LIVING: ___ (GO TO 403)
DECEASED: ___ (GO TO 403)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6</labl>
  </catgry>
  <txt>MATERNITYIDX (V417) reports the number of entries in the pregnancy and postnatal care history for a female respondent. This number is typically equal to the number of births in the three (BIRTHSTOT3YR (V238)) or five (BIRTHSIN5YRS (V208) years before the survey. While there is, theoretically, no limit to the number of births recorded in BIRTHSTOT3YR and BIRTHSIN5YRS, MATERNITYIDX is actually limited to the number of columns that can be completed on the survey form. In most cases, MATERNITYIDX is capped at six.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HEALTHIDX" name="C_HEALTHIDX" files="C" intrvl="discrete">
  <labl>Number of children in immunization/health history</labl>
  <imputation>Number of children in immunization/health history</imputation>
  <security>Number of children in immunization/health history</security>
  <embargo>Number of children in immunization/health history</embargo>
  <respUnit>Number of children in immunization/health history</respUnit>
  <qstn>
    <qstnLit>441) ENTER THE LINE NUMBER AND NAME OF EACH BIRTH SINCE JANUARY 1987 IN THE TABLE. ASK THE QUESTIONS ABOUT ALL OF THESE BIRTHS. BEGIN WITH THE LAST BIRTH (IF THERE ARE MORE THAN 3 BIRTHS, USE ADDITIONAL FORMS).

LINE NUMBER FROM QUESTION 212: ___

FROM QUESTION 212 AND QUESTION 216:

NAME: ___

LIVING: ___
DECEASED: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6</labl>
  </catgry>
  <txt>HEALTHIDX (V418) reports the number of entries (number of children) in the health or immunization history. This number is typically equal to the number of births in the three (BIRTHSTOT3YR (V238)) or five (BIRTHSIN5YRS (V208) years before the survey. While there is, theoretically, no limit to the number of births recorded in BIRTHSTOT3YR and BIRTHSIN5YRS, HEALTHIDX is actually limited to the number of columns that can be completed on the survey form. In most cases, HEALTHIDX is capped at six.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BIOIDX" name="C_BIOIDX" files="C" intrvl="discrete">
  <labl>Number of children in height and weight table</labl>
  <imputation>Number of children in height and weight table</imputation>
  <security>Number of children in height and weight table</security>
  <embargo>Number of children in height and weight table</embargo>
  <respUnit>Number of children in height and weight table</respUnit>
  <qstn>
    <qstnLit>902) LINE NUMBER FROM QUESTION 212:

LINE NUMBER: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6</labl>
  </catgry>
  <txt>BIOIDX (V419) reports the number of entries (number of children) in the height and weight table. This number is typically equal to the number of births in the three (BIRTHSTOT3YR (V238)) or five (BIRTHSIN5YRS (V208) years before the survey. While there is, theoretically, no limit to the number of births recorded in BIRTHSTOT3YR and BIRTHSIN5YRS, BIOIDX is actually limited to the number of columns on the survey form that can be completed. In most cases, BIOIDX is capped at six.</txt>
  <concept>
    <title>General maternal and infant health Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BFEEDNITE" name="C_BFEEDNITE" files="C" intrvl="discrete">
  <labl>Times mother breastfed last child during previous night</labl>
  <imputation>Times mother breastfed last child during previous night</imputation>
  <security>Times mother breastfed last child during previous night</security>
  <embargo>Times mother breastfed last child during previous night</embargo>
  <respUnit>Times mother breastfed last child during previous night</respUnit>
  <qstn>
    <qstnLit>429) FOR MOST RECENT BIRTH: How many times did you breastfeed last night between sunset and sunrise?

(IF ANSWER IS NOT NUMERIC, PROBE TO EVALUATE NUMBER)

NUMBER OF NIGHT TIME FEEDINGS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40+</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>On demand</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years and whose last-born child is still breastfeeding, BFEEDNITE (V407) reports how many times the mother breastfed that child the previous night between sunset and sunrise. 

When women are the unit of analysis, IPUMS-DHS users may also use BRSFEDNITE_01 (M35_01), which reports how many times the woman breastfed her last-born child the previous night.

When children are the unit of analysis, BFEEDNITE describes a characteristic of the mother, which causes all young children of the mother to be coded the same way. Thus, a response of a certain number of times in BFEEDNITE does not necessarily indicate that a particular child whose record is being analyzed was breastfed that many times during the previous night. IPUMS-DHS users should instead employ, when available, the variable BRSFEDNITE (M35) to determine how many times the specific child under analysis was breastfed during the previous night.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BFEEDAY" name="C_BFEEDAY" files="C" intrvl="discrete">
  <labl>Times mother breastfed last child during previous day</labl>
  <imputation>Times mother breastfed last child during previous day</imputation>
  <security>Times mother breastfed last child during previous day</security>
  <embargo>Times mother breastfed last child during previous day</embargo>
  <respUnit>Times mother breastfed last child during previous day</respUnit>
  <qstn>
    <qstnLit>430) FOR MOST RECENT BIRTH: How many times did you breastfeed yesterday, during the daylight hours?

(IF ANSWER IS NOT NUMERIC, PROBE TO EVALUATE NUMBER)

NUMBER OF DAY LIGHT FEEDINGS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40+</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>On demand, non-numeric response</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years and whose last-born child is still breastfeeding, BFEEDAY (V408) reports how many times the mother breastfed that child the previous day during daylight hours. 

When women are the unit of analysis, IPUMS-DHS users may also use BRSFEDAY_01 (M36_01), which reports how many times the woman breastfed her last-born child the previous day during daylight hours.

When children are the unit of analysis, BFEEDAY describes a characteristic of the mother, which causes all young children of the mother to be coded the same way. Thus, a response of a certain number of times in BFEEDAY does not necessarily indicate that a child whose record is being analyzed was personally breastfed that many times during the previous day. IPUMS-DHS users should instead employ, when available, the variable BRSFEDAY (M36) to determine how many times the specific child under analysis was breastfed during the previous day.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BOTTLE24H" name="C_BOTTLE24H" files="C" intrvl="discrete">
  <labl>Mother fed last-born child from bottle with nipple in last day or night</labl>
  <imputation>Mother fed last-born child from bottle with nipple in last day or night</imputation>
  <security>Mother fed last-born child from bottle with nipple in last day or night</security>
  <embargo>Mother fed last-born child from bottle with nipple in last day or night</embargo>
  <respUnit>Mother fed last-born child from bottle with nipple in last day or night</respUnit>
  <qstn>
    <qstnLit>439) Did (NAME) drink anything from a baby bottle yesterday or last night?

YES 1
NO 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years and whose last-born child is still alive, BOTTLE24H (V415) indicates whether the last-born child drank anything from a bottle with a nipple during the previous day and night. 

When women are the unit of analysis, IPUMS-DHS users may also use BRSFEDBOT_01 (M38_01), which also indicates whether the woman gave her last-born child anything from a bottle with a nipple during the previous day and night.

When children are the unit of analysis, BOTTLE24H describes a characteristic of the mother, which causes all young children of the mother to be coded the same way. If the mother reported that she fed her last-born child with a bottle with a nipple during the previous day or night, all of her children in the data are coded as "yes," including any children who have died or who live elsewhere. 

When children are the unit of analysis, a positive response in BOTTLE24H thus does not necessarily indicate that a particular child was actually fed with a bottle with a nipple during the previous day or night. IPUMS-DHS users should instead employ, when available, the variable BRSFEDBOT (M38) to determine whether the specific child in question actually drank anything from a bottle with a nipple during the previous day and night.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BFEEDANYNOW" name="C_BFEEDANYNOW" files="C" intrvl="discrete">
  <labl>Woman currently breastfeeding any child</labl>
  <imputation>Woman currently breastfeeding any child</imputation>
  <security>Woman currently breastfeeding any child</security>
  <embargo>Woman currently breastfeeding any child</embargo>
  <respUnit>Woman currently breastfeeding any child</respUnit>
  <qstn>
    <qstnLit>428) FOR MOST RECENT BIRTH: Do you still breastfeed (NAME)?

YES 1
NO 2 (GO TO 433)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BFEEDANYNOW (V404) indicates whether the woman is currently breastfeeding. If no child was born in the last three to five years, the respondent is assumed to not be breastfeeding. 

When children or births are the unit of analysis, this variable describes a characteristic of the mother, which causes all children of the mother to be coded the same way.

This variable has some variation in how current breastfeeding is determined. See Comparability.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BFEEDST" name="C_BFEEDST" files="C" intrvl="discrete">
  <labl>When mother first put last-born child to breast</labl>
  <imputation>When mother first put last-born child to breast</imputation>
  <security>When mother first put last-born child to breast</security>
  <embargo>When mother first put last-born child to breast</embargo>
  <respUnit>When mother first put last-born child to breast</respUnit>
  <qstn>
    <qstnLit>426) FOR MOST RECENT BIRTH: How long after birth did you first put (NAME) to the breast?

IF LESS THAN 1 HOUR, RECORD '00' HOURS.
IF LESS THAN 24 HOURS, RECORD HOURS.
OTHERWISE, RECORD DAYS.

IMMEDIATELY 000
HOURS: ___ 1
DAYS: ___ 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
    <labl>Immediately</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>Within first hour</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 hour</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 hours</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 hours</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 hours</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 hours</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 hours</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 hours</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 hours</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 hours</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 hours</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 hours</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 hours</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 hours</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 hours</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 hours</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 hours</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 hours</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 hours</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 hours</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 hours</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 hours</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 hours</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 hours</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 hours</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 hours</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 hours</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 hours</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 hours</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 hours</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 hours</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 hours</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 hours</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 hours</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 hours</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 hours</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 hours</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 hours</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 hours</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 hours</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 hours</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 hours</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 hours</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 hours</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 hours</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 hours</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46 hours</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47 hours</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48 hours</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49 hours</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50 hours</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51 hours</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52 hours</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53 hours</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54 hours</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55 hours</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56 hours</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57 hours</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58 hours</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59 hours</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60 hours</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61 hours</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62 hours</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63 hours</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64 hours</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65 hours</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66 hours</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67 hours</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68 hours</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69 hours</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70 hours</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71 hours</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72 hours</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73 hours</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74 hours</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75 hours</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76 hours</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77 hours</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78 hours</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79 hours</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80 hours</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81 hours</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82 hours</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83 hours</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84 hours</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85 hours</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86 hours</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87 hours</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88 hours</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89 hours</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90 hours</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Hours: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Within first day</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41 days</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42 days</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43 days</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44 days</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45 days</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46 days</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47 days</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48 days</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49 days</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50 days</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51 days</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52 days</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>53 days</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>54 days</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>55 days</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>56 days</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>57 days</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>58 days</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>59 days</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>60 days</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>61 days</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>62 days</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>63 days</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>64 days</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>65 days</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>66 days</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>67 days</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>68 days</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>69 days</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>70 days</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>71 days</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>72 days</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>73 days</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>74 days</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>75 days</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>76 days</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>77 days</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>78 days</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>79 days</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>80 days</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>81 days</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>82 days</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>83 days</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>84 days</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>85 days</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>86 days</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>87 days</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>88 days</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>89 days</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>90 days</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Days: Number missing</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the last three to five years and breastfed their last-born child, BFEEDST (V426) reports the length of time between the birth and when the woman first breastfed her last-born child. Following DHS convention, intervals reported in hours are coded with a "1" in the first digit, and intervals reported in days are coded with a "2" in the first digit.

When women are the unit of analysis, IPUMS-DHS users may also use BRSFEDST_01 (M34_1), which also reports the length of time between the birth and when the woman first breastfed her child (for the last birth).

When children are the unit of analysis, BFEEDST describes a characteristic of the mother, which causes all young children of the mother to be coded the same way. Thus, a response of a certain number of hours or days in BFEEDST does not necessarily indicate that a particular child whose record is being analyzed was first breastfed after that amount of time. IPUMS-DHS users should instead employ, when available, the variable BRSFEDST (M34) to determine the length of time between the specific child's birth and when that child was first breastfed.</txt>
  <concept>
    <title>Breastfeeding and infant feeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIATRORSHEARD" name="C_DIATRORSHEARD" files="C" intrvl="discrete">
  <labl>Heard of ORS for diarrhea treatment</labl>
  <imputation>Heard of ORS for diarrhea treatment</imputation>
  <security>Heard of ORS for diarrhea treatment</security>
  <embargo>Heard of ORS for diarrhea treatment</embargo>
  <respUnit>Heard of ORS for diarrhea treatment</respUnit>
  <qstn>
    <qstnLit>483) Have you heard of a special product in a packet that you can get for the treatment of diarrhea and vomiting?

YES 1 (GO TO 485)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Used ORS</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Heard of ORS</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Recognized ORS packet</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>DIATRORSHEARD (V416) indicates whether the woman ever heard of using an oral rehydration solution (ORS) to treat diarrhea. ORS generally consists of drinking water with the addition of sugar and salt (in a homemade solution) or a commercial mixture of salt, glucose, potassium chloride, and sodium bicarbonate added to clean water.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ORSPREPEV" name="C_ORSPREPEV" files="C" intrvl="discrete">
  <labl>Ever prepared ORS solution</labl>
  <imputation>Ever prepared ORS solution</imputation>
  <security>Ever prepared ORS solution</security>
  <embargo>Ever prepared ORS solution</embargo>
  <respUnit>Ever prepared ORS solution</respUnit>
  <qstn>
    <qstnLit>485) Have you ever prepared a solution with one of these packets to treat diarrhea for yourself or someone else?

(SHOW THE PACKET)

YES 1
NO 2 (GO TO 488)</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Used in last 2 weeks</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Used previously</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the 3 to 5 years before the survey and have heard of ORS (oral rehydration solution), ORSPREPEV (V422) indicates whether the respondent has ever prepared a solution from an ORS packet to treat diarrhea, either for herself or for someone else.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ORSPREPWAT" name="C_ORSPREPWAT" files="C" intrvl="discrete">
  <labl>Amount of water (in mL) used for ORS</labl>
  <imputation>Amount of water (in mL) used for ORS</imputation>
  <security>Amount of water (in mL) used for ORS</security>
  <embargo>Amount of water (in mL) used for ORS</embargo>
  <respUnit>Amount of water (in mL) used for ORS</respUnit>
  <qstn>
    <qstnLit>487) How much water did you use to prepare the liquid from the special packet for diarrhea?

1/2 LITER / 1/2 CUP 01
1 LITER / 1 CUP 02
1 1/2 LITERS / 1 1/2 CUPS 03
2 LITERS / 2 CUPS 04
ACCORDING TO PACKET INSTRUCTIONS 05
OTHER (SPECIFY): ___ 06
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>0250</catValu>
    <labl>250</labl>
  </catgry>
  <catgry>
    <catValu>0750</catValu>
    <labl>750</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>1000</labl>
  </catgry>
  <catgry>
    <catValu>9993</catValu>
    <labl>Did not use whole packet</labl>
  </catgry>
  <catgry>
    <catValu>9994</catValu>
    <labl>Followed instructions on packet</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Unknown quantity</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Other uncoded sizes</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the 3 to 5 years before the survey and have prepared ORS, ORSPREPWAT (V423) reports the quantity of water, measured in milliliters, used in the preparation of the oral rehydration solution.

Most samples include fixed categories such as 1/2 liter, 1 liter, and 1-1/2 liters, which are then recoded as 500, 1000, and 1500 milliliters. Some responses are also recorded as bottle sizes, such as beer bottle or coke bottle; these are also recoded in ORSPREPWAT into their respective sizes (333 and 250 milliliters, respectively). If the size of a particular container (e.g., a glass) was not known, this response is recorded as "Unknown quantity" (code "9995").</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ORSINFOSRC" name="C_ORSINFOSRC" files="C" intrvl="discrete">
  <labl>Source of information on preparing ORS for diarrhea treatment</labl>
  <imputation>Source of information on preparing ORS for diarrhea treatment</imputation>
  <security>Source of information on preparing ORS for diarrhea treatment</security>
  <embargo>Source of information on preparing ORS for diarrhea treatment</embargo>
  <respUnit>Source of information on preparing ORS for diarrhea treatment</respUnit>
  <qstn>
    <qstnLit>490) Who taught you how to prepare the home solution made with sugar, salt, and water, and which you gave to (NAME) when he/she had diarrhea?

PUBLIC SECTOR

HOSPITAL 11
MEDICAL CENTER 12
MOTHER AND CHILD CARE CENTER 13
DISPENSARY 14
MOBILE CLINIC 15
FIRST AID WORKER/MIDWIFE 16

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL 21
PRIVATE PHARMACY 22
PRIVATE DOCTOR'S OFFICE 23
PRIVATE DISPENSARY 24

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE 31
NEIGHBOR/RELATIVE 32

OTHER (SPECIFY): ___ 41</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>PUBLIC SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>Government hospital</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Government health center</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>Rural health center</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>Government mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>Government health post</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>Government health worker</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>Community health worker</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>Village health guide/worker</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>Government paramedic</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>First aid worker</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>Family welfare worker</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>Lady health visitor</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>Maternal child health (MCH) center</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>Government pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>PRIVATE MEDICAL SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Private hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>Private doctor</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>Private pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>Private mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>Private community health worker</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>RELIGIOUS/MISSION</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>Religious hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>Religious health post</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>Religious pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>400</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>410</catValu>
    <labl>Shop</labl>
  </catgry>
  <catgry>
    <catValu>420</catValu>
    <labl>Traditional practitioner</labl>
  </catgry>
  <catgry>
    <catValu>430</catValu>
    <labl>Friend/relative</labl>
  </catgry>
  <catgry>
    <catValu>440</catValu>
    <labl>Media</labl>
  </catgry>
  <catgry>
    <catValu>441</catValu>
    <labl>Radio</labl>
  </catgry>
  <catgry>
    <catValu>442</catValu>
    <labl>Printed material</labl>
  </catgry>
  <catgry>
    <catValu>443</catValu>
    <labl>TV</labl>
  </catgry>
  <catgry>
    <catValu>450</catValu>
    <labl>Immunization card</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who prepared ORS for their child's diarrhea in the past 2 weeks, ORSINFOSRC (V425) reports where she learned about preparing a homemade ORS fluid for diarrhea treatment. Response categories vary across samples.  See Comparability.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ORSPRIVDR" name="C_ORSPRIVDR" files="C" intrvl="discrete">
  <labl>Known source for ORS: Private doctor</labl>
  <imputation>Known source for ORS: Private doctor</imputation>
  <security>Known source for ORS: Private doctor</security>
  <embargo>Known source for ORS: Private doctor</embargo>
  <respUnit>Known source for ORS: Private doctor</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSPRIVDR (V424L) indicates whether, in response to an open-ended question, the woman reported a private doctor as a source for oral rehydration solution (ORS). 

ORS is a typically used to treat dehydration in individuals with diarrhea.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ORSPRIVDRUG" name="C_ORSPRIVDRUG" files="C" intrvl="discrete">
  <labl>Known source for ORS: Private pharmacy, drug store, or dispensary</labl>
  <imputation>Known source for ORS: Private pharmacy, drug store, or dispensary</imputation>
  <security>Known source for ORS: Private pharmacy, drug store, or dispensary</security>
  <embargo>Known source for ORS: Private pharmacy, drug store, or dispensary</embargo>
  <respUnit>Known source for ORS: Private pharmacy, drug store, or dispensary</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N

*****

488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N

*****

488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSPRIVDRUG (V424K) indicates whether, in response to an open-ended question, the woman reported a private pharmacy, drug store, or dispensary as a source for oral rehydration solution (ORS). 

ORS is a typically used to treat dehydration in individuals with diarrhea.

Some samples in the "ORS" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of private, formal drug vendors that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in ORSPUBHC.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ORSPRIVHOS" name="C_ORSPRIVHOS" files="C" intrvl="discrete">
  <labl>Known source for ORS: Private hospital/clinic</labl>
  <imputation>Known source for ORS: Private hospital/clinic</imputation>
  <security>Known source for ORS: Private hospital/clinic</security>
  <embargo>Known source for ORS: Private hospital/clinic</embargo>
  <respUnit>Known source for ORS: Private hospital/clinic</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSPRIVHOS (V424J) indicates whether, in response to an open-ended question, the woman reported a private hospital or clinic as a source for an oral rehydration solution (ORS). 

ORS is a typically used to treat dehydration in individuals with diarrhea.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ORSPUBFW" name="C_ORSPUBFW" files="C" intrvl="discrete">
  <labl>Known source for ORS: Public fieldworker</labl>
  <imputation>Known source for ORS: Public fieldworker</imputation>
  <security>Known source for ORS: Public fieldworker</security>
  <embargo>Known source for ORS: Public fieldworker</embargo>
  <respUnit>Known source for ORS: Public fieldworker</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSPUBFW (V424E) indicates whether, in response to an open-ended question, the woman reported a public fieldworker as a source for an oral rehydration solution (ORS). 

ORS is a typically used to treat dehydration in individuals with diarrhea.

Some samples in the "ORS" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public fieldworkers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in ORSPUBHC.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ORSPUBHC" name="C_ORSPUBHC" files="C" intrvl="discrete">
  <labl>Known source for ORS: Public health center</labl>
  <imputation>Known source for ORS: Public health center</imputation>
  <security>Known source for ORS: Public health center</security>
  <embargo>Known source for ORS: Public health center</embargo>
  <respUnit>Known source for ORS: Public health center</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSPUBHC (V424B) indicates whether, in response to an open-ended question, the woman reported a public health center as a source for oral rehydration solution (ORS). 

ORS is a typically used to treat dehydration in individuals with diarrhea.

Some samples in the "ORS" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public health centers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in ORSPUBHC.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ORSPUBHOS" name="C_ORSPUBHOS" files="C" intrvl="discrete">
  <labl>Known source for ORS: Public hospital</labl>
  <imputation>Known source for ORS: Public hospital</imputation>
  <security>Known source for ORS: Public hospital</security>
  <embargo>Known source for ORS: Public hospital</embargo>
  <respUnit>Known source for ORS: Public hospital</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSPUBHOS (V424A) indicates whether, in response to an open-ended question, the woman reported a public hospital as a source for oral rehydration solution (ORS). 

ORS is a typically used to treat dehydration in individuals with diarrhea.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ORSPUBHP" name="C_ORSPUBHP" files="C" intrvl="discrete">
  <labl>Known source for ORS: Public health post</labl>
  <imputation>Known source for ORS: Public health post</imputation>
  <security>Known source for ORS: Public health post</security>
  <embargo>Known source for ORS: Public health post</embargo>
  <respUnit>Known source for ORS: Public health post</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSPUBHP (V424C) indicates, in response to an open-ended question, whether the woman reported a public health post as a source for oral rehydration solution (ORS). 

ORS is a typically used to treat dehydration in individuals with diarrhea.

Some samples in the "ORS" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ORSPUBMOB" name="C_ORSPUBMOB" files="C" intrvl="discrete">
  <labl>Known source for ORS: Public mobile clinic</labl>
  <imputation>Known source for ORS: Public mobile clinic</imputation>
  <security>Known source for ORS: Public mobile clinic</security>
  <embargo>Known source for ORS: Public mobile clinic</embargo>
  <respUnit>Known source for ORS: Public mobile clinic</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSPUBMOB (V424D) indicates whether, in response to an open-ended question, the woman reported a public mobile clinic as a source for oral rehydration solution (ORS). 

ORS is a typically used to treat dehydration in individuals with diarrhea.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ORSOTHER" name="C_ORSOTHER" files="C" intrvl="discrete">
  <labl>Known source of ORS: Other</labl>
  <imputation>Known source of ORS: Other</imputation>
  <security>Known source of ORS: Other</security>
  <embargo>Known source of ORS: Other</embargo>
  <respUnit>Known source of ORS: Other</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSOTHER (V424X) indicates whether, in response to an open-ended question, the woman reported some "other" place as a source for oral rehydration solution (ORS). The meaning of "other" depends on the specific response categories included in a given sample.

ORS is a typically used to treat dehydration in individuals with diarrhea.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ORSNE1" name="C_ORSNE1" files="C" intrvl="discrete">
  <labl>Known source for ORS: Private pharmacy (Niger)</labl>
  <imputation>Known source for ORS: Private pharmacy (Niger)</imputation>
  <security>Known source for ORS: Private pharmacy (Niger)</security>
  <embargo>Known source for ORS: Private pharmacy (Niger)</embargo>
  <respUnit>Known source for ORS: Private pharmacy (Niger)</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSNE1 indicates whether, in response to an open-ended question, the woman reported a private pharmacy as a source for oral rehydration solution (ORS). ORS is typically used to treat dehydration in individuals with diarrhea. This response is country-specific to Niger. 

Some samples in the "ORS" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

ORSNE1 is combined with ORSNE2 (private dispensary) and ORSNE3 (private pharmaceutic depot) in ORSPRIVDRUG (all private, formal drug vendors) for the 1992 Niger sample. IPUMS-DHS users interested in using ORSNE1 are encouraged to review ORSPRIVDRUG for a more comprehensive response category.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ORSNE2" name="C_ORSNE2" files="C" intrvl="discrete">
  <labl>Known source for ORS: Private dispensary (Niger)</labl>
  <imputation>Known source for ORS: Private dispensary (Niger)</imputation>
  <security>Known source for ORS: Private dispensary (Niger)</security>
  <embargo>Known source for ORS: Private dispensary (Niger)</embargo>
  <respUnit>Known source for ORS: Private dispensary (Niger)</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSNE2 indicates whether, in response to an open-ended question, the woman reported a private dispensary as a source for oral rehydration solution (ORS). ORS is typically used to treat dehydration in individuals with diarrhea. This response is country-specific to Niger. 

Some samples in the "ORS" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

ORSNE2 is combined with ORSNE1 (private pharmacy) and ORSNE3 (private pharmaceutic depot) in ORSPRIVDRUG (all private, formal drug vendors) for the 1992 Niger sample. IPUMS-DHS users interested in using ORSNE2 are encouraged to review ORSPRIVDRUG for a more comprehensive response category.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ORSNE3" name="C_ORSNE3" files="C" intrvl="discrete">
  <labl>Known source for ORS: Private pharmaceutic depot (Niger)</labl>
  <imputation>Known source for ORS: Private pharmaceutic depot (Niger)</imputation>
  <security>Known source for ORS: Private pharmaceutic depot (Niger)</security>
  <embargo>Known source for ORS: Private pharmaceutic depot (Niger)</embargo>
  <respUnit>Known source for ORS: Private pharmaceutic depot (Niger)</respUnit>
  <qstn>
    <qstnLit>488) Where can you get this packet?

PROBE: Anywhere else?

RECORD ALL PLACES MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
PEOPLE'S PHARMACY E
MOBILE CLINIC F
FIRST AID WORKER G

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL H
PRIVATE PHARMACY I
PRIVATE DOCTOR'S OFFICE J
PRIVATE DISPENSARY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE L
NEIGHBOR/RELATIVE M

OTHER (SPECIFY): ___ N</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ORSNE3 indicates whether, in response to an open-ended question, the woman reported a private pharmaceutic depot as a source for oral rehydration solution (ORS). ORS is typically used to treat dehydration in individuals with diarrhea. This response is country-specific to Niger. 

Some samples in the "ORS" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

ORSNE3 is combined with ORSNE1 (private pharmacy) and ORSNE2 (private dispensary) in ORSPRIVDRUG (all private, formal drug vendors) for the 1992 Niger sample. IPUMS-DHS users interested in using ORSNE3 are encouraged to review ORSPRIVDRUG for a more comprehensive response category.</txt>
  <concept>
    <title>ORS treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BIOMEASCODE" name="C_BIOMEASCODE" files="C" intrvl="discrete">
  <labl>Code of person measuring children's height and weight</labl>
  <imputation>Code of person measuring children's height and weight</imputation>
  <security>Code of person measuring children's height and weight</security>
  <embargo>Code of person measuring children's height and weight</embargo>
  <respUnit>Code of person measuring children's height and weight</respUnit>
  <qstn>
    <qstnLit>913)

NAME OF MEASURER: ___

NAME OF ASSISTANT: ___

MOTHER 90
OTHER MEMBERS OF HOUSEHOLD 91
OTHER PERSONS 92</qstnLit>
  </qstn>
  <catgry>
    <catValu>99999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>99998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>99995</catValu>
    <labl>No living children under 5</labl>
  </catgry>
  <txt>For women who gave birth in the three to five years before the survey, BIOMEASCODE (V420) reports the code assigned to the person measuring their children's height and weight. Codes are sample-specific; a given numeric code in one sample refers to a different person than the same numeric code in another sample.

Using the measurer and assistant measurer (BIOASSTMEASCODE (V421)) codes, researchers can evaluate whether the quality of responses (e.g., the number of "out of range" cases) depended on the person measuring the children.</txt>
  <concept>
    <title>Female biometrics, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BIOASSTMEASCODE" name="C_BIOASSTMEASCODE" files="C" intrvl="discrete">
  <labl>Code of assistant measurer</labl>
  <imputation>Code of assistant measurer</imputation>
  <security>Code of assistant measurer</security>
  <embargo>Code of assistant measurer</embargo>
  <respUnit>Code of assistant measurer</respUnit>
  <qstn>
    <qstnLit>913)

NAME OF MEASURER: ___

NAME OF ASSISTANT: ___

MOTHER 90
OTHER MEMBERS OF HOUSEHOLD 91
OTHER PERSONS 92</qstnLit>
  </qstn>
  <catgry>
    <catValu>9992</catValu>
    <labl>Child's mother</labl>
  </catgry>
  <catgry>
    <catValu>9993</catValu>
    <labl>Household member</labl>
  </catgry>
  <catgry>
    <catValu>9994</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>No living children under 5</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the three to five years before the survey, BIOASSTMEASCODE (V421) reports the code assigned to the assistant measurer of their children's height and weight. Codes are sample-specific; a given numeric code in one sample refers to a different person than the same numeric code in another sample.

Using the measurer (BIOMEASCODE (V420)) and assistant measurer codes, researchers can evaluate whether the quality of responses (e.g., the number of "out of range" cases) depended on the person measuring the children.</txt>
  <concept>
    <title>Female biometrics, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_WEIGHTFEM" name="C_WEIGHTFEM" files="C" intrvl="discrete">
  <labl>Weight of woman (kilos)</labl>
  <imputation>Weight of woman (kilos)</imputation>
  <security>Weight of woman (kilos)</security>
  <embargo>Weight of woman (kilos)</embargo>
  <respUnit>Weight of woman (kilos)</respUnit>
  <qstn>
    <qstnLit>909) WEIGHT (IN KILOGRAMS):

WEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9994</catValu>
    <labl>Not present</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Refused</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Out of plausible range</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>WEIGHTFEM (V437) reports the woman's weight as measured by DHS personnel. There is one implied decimal place in the weight. Dividing WEIGHTFEM by 10 will yield the woman's measured weight in kilograms.</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HEIGHTFEM" name="C_HEIGHTFEM" files="C" intrvl="discrete">
  <labl>Height of woman in centimeters</labl>
  <imputation>Height of woman in centimeters</imputation>
  <security>Height of woman in centimeters</security>
  <embargo>Height of woman in centimeters</embargo>
  <respUnit>Height of woman in centimeters</respUnit>
  <qstn>
    <qstnLit>907) HEIGHT (IN CENTIMETERS):

HEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9994</catValu>
    <labl>Not present</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Refused</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Out of plausible range</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>HEIGHTFEM (V438) reports the woman's height as measured by DHS personnel. HEIGHTFEM values are reported in millimeters, to preserve one centimeter decimal place without requiring the use of a decimal point. Dividing HEIGHTFEM by 10 will yield the woman's measured height in centimeters.</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BIOFHTAPCT" name="C_BIOFHTAPCT" files="C" intrvl="discrete">
  <labl>Height for age percentile for respondents to women's survey</labl>
  <imputation>Height for age percentile for respondents to women's survey</imputation>
  <security>Height for age percentile for respondents to women's survey</security>
  <embargo>Height for age percentile for respondents to women's survey</embargo>
  <respUnit>Height for age percentile for respondents to women's survey</respUnit>
  <qstn>
    <qstnLit>907) HEIGHT (IN CENTIMETERS):

HEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9995</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFHTAPCT (V439) reports the respondent's height-for-age percentile, based on smoothed percentile growth charts by age and sex developed by the U.S. Centers for Disease Control.

The reference standard contains data for children up to age 18. For all women age 18 and over, the value for 215 months (17 years, 11 months) is used, based on the assumption that women are fully grown by age18.

HEIGHTFEM (V438) reports the respondent's length or height as measured by DHS personnel.</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BIOFHTASDRM" name="C_BIOFHTASDRM" files="C" intrvl="discrete">
  <labl>Height for age standard deviations from the reference median (for respondents to female survey)</labl>
  <imputation>Height for age standard deviations from the reference median (for respondents to female survey)</imputation>
  <security>Height for age standard deviations from the reference median (for respondents to female survey)</security>
  <embargo>Height for age standard deviations from the reference median (for respondents to female survey)</embargo>
  <respUnit>Height for age standard deviations from the reference median (for respondents to female survey)</respUnit>
  <qstn>
    <qstnLit>907) HEIGHT (IN CENTIMETERS):

HEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9995</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFHTASDRM (V440) reports the difference between the respondent's height and the median height of a reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score. BIOFHTASDRM values are reported in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing BIOFHTASDRM by 100 will yield the height-for-age Z-score (HAZ) value. 

The reference standard contains data for children up to age 18. For all women age 18 and over, the value of 215 months (17 years, 11 months) is used, based on the assumption that women are fully grown by age 18.

HEIGHTFEM (V438) reports the respondent's length or height, as measured by DHS personnel.

The complementary DHS variable BIOFHTAPCT (V439) reports the respondent's height-for-age percentile within the same reference population used in BIOFHTASDRM. The complementary DHS variable BIOFHTAPCTRM (V441) reports the respondent's height-for-age as a percentage of the median of the same reference population. Unlike z-scores, percentiles do not allow comparison across age and sex and cannot assess longitudinal change in growth status.</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BIOFHTAPCTRM" name="C_BIOFHTAPCTRM" files="C" intrvl="discrete">
  <labl>Height for Age percent of reference median for respondents to female survey</labl>
  <imputation>Height for Age percent of reference median for respondents to female survey</imputation>
  <security>Height for Age percent of reference median for respondents to female survey</security>
  <embargo>Height for Age percent of reference median for respondents to female survey</embargo>
  <respUnit>Height for Age percent of reference median for respondents to female survey</respUnit>
  <qstn>
    <qstnLit>907) HEIGHT (IN CENTIMETERS):

HEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>99995</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>99998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFHTAPCTRM (V441) reports the respondent's height-for-age as a percent of the median height for a reference population of the same age and sex.  For this variable, the reference population was developed by the U.S. Centers for Disease Control.

The reference standard contains data for children up to age 18. For all women age 18 and over, the value of 215 months (17 years, 11 months) is used, based on the assumption that women are fully grown by age 18.

HEIGHTFEM (V438) reports the respondent's length or height as measured by DHS personnel.

The related variable BIOFHTAPCT (V439) reports the respondent's height-for-age percentile relative to smoothed percentile growth charts by age and sex, for the same reference population.</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BIOFWTHTRMDHS" name="C_BIOFWTHTRMDHS" files="C" intrvl="discrete">
  <labl>Weight for height percent of reference median (DHS) (respondents to women's survey)</labl>
  <imputation>Weight for height percent of reference median (DHS) (respondents to women's survey)</imputation>
  <security>Weight for height percent of reference median (DHS) (respondents to women's survey)</security>
  <embargo>Weight for height percent of reference median (DHS) (respondents to women's survey)</embargo>
  <respUnit>Weight for height percent of reference median (DHS) (respondents to women's survey)</respUnit>
  <qstn>
    <qstnLit>909) WEIGHT (IN KILOGRAMS):

WEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>99995</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>99998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFWTHTRMDHS (V442) reports the respondent's weight-for-height as a percent of the median weight for a reference population of the same height. For this variable, the reference population was developed by the DHS Program. This index has been adjusted for pregnant women according to duration of pregnancy.

The following variables report the respondent's weight for height as a percent of the median weight for different reference populations:
BIOFWTHTRMFOG (V443) uses Metropolitan Life or Fogarty reference standards
BIOFWTHTRMWHO (V444) uses WHO reference standards</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BIOFWTHTRMFOG" name="C_BIOFWTHTRMFOG" files="C" intrvl="discrete">
  <labl>Weight for height percent of reference median (MetLife or Fogarty) (respondents to women's survey)</labl>
  <imputation>Weight for height percent of reference median (MetLife or Fogarty) (respondents to women's survey)</imputation>
  <security>Weight for height percent of reference median (MetLife or Fogarty) (respondents to women's survey)</security>
  <embargo>Weight for height percent of reference median (MetLife or Fogarty) (respondents to women's survey)</embargo>
  <respUnit>Weight for height percent of reference median (MetLife or Fogarty) (respondents to women's survey)</respUnit>
  <qstn>
    <qstnLit>909) WEIGHT (IN KILOGRAMS):

WEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>99995</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>99998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFWTHTRMFOG (V443) reports the respondent's weight-for-height as a percent of the median weight for a reference population of the same height. This variable uses the Metropolitan Life or Fogarty reference standard. This index has been adjusted for pregnant women according to duration of pregnancy.

The following variables report the respondent's weight for height as a percent of the median weight for different reference populations:
BIOFWTHTRMDHS (V442) uses a DHS reference standard
BIOFWTHTRMWHO (V444) uses the WHO reference standard</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BIOFWTHTRMWHO" name="C_BIOFWTHTRMWHO" files="C" intrvl="discrete">
  <labl>Weight for height percent of reference median (WHO) (respondents to women's survey)</labl>
  <imputation>Weight for height percent of reference median (WHO) (respondents to women's survey)</imputation>
  <security>Weight for height percent of reference median (WHO) (respondents to women's survey)</security>
  <embargo>Weight for height percent of reference median (WHO) (respondents to women's survey)</embargo>
  <respUnit>Weight for height percent of reference median (WHO) (respondents to women's survey)</respUnit>
  <qstn>
    <qstnLit>909) WEIGHT (IN KILOGRAMS):

WEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>99995</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>99998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFWTHTRMWHO (V444) reports the respondent's weight-for-height as a percent of the median weight for a reference population of the same height. This variable uses the World Health Organization (WHO) reference standard. This index has been adjusted for pregnant women according to duration of pregnancy.

The following variables report the respondent's weight for height as a percent of the median weight for different reference populations:
BIOFWTHTRMDHS (V442) uses a DHS reference standard
BIOFWTHTRMFOG (V444) uses the Metropolitan Life or Fogarty reference standard</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BIOFBMI" name="C_BIOFBMI" files="C" intrvl="discrete">
  <labl>Body Mass Index (BMI) for respondents to the women's survey</labl>
  <imputation>Body Mass Index (BMI) for respondents to the women's survey</imputation>
  <security>Body Mass Index (BMI) for respondents to the women's survey</security>
  <embargo>Body Mass Index (BMI) for respondents to the women's survey</embargo>
  <respUnit>Body Mass Index (BMI) for respondents to the women's survey</respUnit>
  <qstn>
    <qstnLit>909) WEIGHT (IN KILOGRAMS):

WEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9995</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFBMI (V445) reports the female respondent's body mass index (BMI). BMI is an anthropometric measure relating weight to height, equal to body weight (kilograms) divided by height (meters) squared (W/(H^2)). Also known as the Quetelet Index, BMI is a measure of acute nutritional status, based on the Fogarty Metropolitan Life tables of ideal weight for height. 

The DHS Guide to Statistics offers the following guidelines for interpreting BMI scores for women age 15-49:

 Severely thin: less than 16.0 
Moderately thin: 16.0 to 16.9 
Mildly thin: 17.0 to 18.4 
Normal: 18.5 to 24.9 
Overweight: 25.0 to 29.9 
Obese: 30.0 or more

The original height and weight values used to calculate BMI are also included in IPUMS-DHS.  WEIGHTFEM (V437) reports the respondent's weight in kilograms, as measured by DHS personnel; HEIGHTFEM (V438) reports the person's length or height in centimeters, as measured by DHS personnel. 

For an alternate measure of female nutrition, IPUMS-DHS users may also be interested in BIOFROHRER (V446), which reports the respondent's Rohrer's Index. This measure is equal to body weight (kilograms) divided by height (meters) cubed (W/(H^3)).</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BIOFROHRER" name="C_BIOFROHRER" files="C" intrvl="discrete">
  <labl>Rohrer's index (mass/height cubed) (for respondents to female survey)</labl>
  <imputation>Rohrer's index (mass/height cubed) (for respondents to female survey)</imputation>
  <security>Rohrer's index (mass/height cubed) (for respondents to female survey)</security>
  <embargo>Rohrer's index (mass/height cubed) (for respondents to female survey)</embargo>
  <respUnit>Rohrer's index (mass/height cubed) (for respondents to female survey)</respUnit>
  <qstn>
    <qstnLit>909) WEIGHT (IN KILOGRAMS):

WEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9995</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFROHRER (V446) reports the respondent's Rohrer's Index. Rohrer's Index is an anthropometric measure relating weight to height, equal to body weight (kilograms) divided by height (meters) cubed (W/(H^3)). Rohrer's Index is a measure of acute nutritional status, and may be used as an alternative to Body Mass Index. 

The original height and weight values used to calculate Rohrer's Index are also included in IPUMS-DHS. WEIGHTFEM (V437) reports the respondent's weight in kilograms as measured by DHS personnel; HEIGHTFEM (V438) reports their length or height in centimeters as measured by DHS personnel.

For an alternate measure of female nutrition, IPUMS-DHS users may also be interested in BIOFBMI (V445), which reports the respondent's Body Mass Index (BMI), which is equal to body weight (kilograms) divided by height (meters) squared (W/(H^2)).</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BIOFWHYNOTMEAS" name="C_BIOFWHYNOTMEAS" files="C" intrvl="discrete">
  <labl>Result of measurement of the respondent</labl>
  <imputation>Result of measurement of the respondent</imputation>
  <security>Result of measurement of the respondent</security>
  <embargo>Result of measurement of the respondent</embargo>
  <respUnit>Result of measurement of the respondent</respUnit>
  <qstn>
    <qstnLit>912) RESULT (WEIGHT AND HEIGHT):

MEASURED 1
CHILD SICK 2
ABSENT 3
REFUSED 4
MOTHER REFUSED 5
OTHER (SPECIFY): ___ 6</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Measured</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Not measured</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Sick</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Not present</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Refused</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Incapacitated</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Technical problems</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>No measurement found in household</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIOFWHYNOTMEAS (V447) indicates whether the respondent was measured for height and weight, or, if not, why she was not measured. All "Not measured" responses have a common first digit of "1," while the second digit reveals the reason (e.g., sick, not present, refused).</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BIOFARMCIRCCM" name="C_BIOFARMCIRCCM" files="C" intrvl="discrete">
  <labl>Arm circumference (cm)</labl>
  <imputation>Arm circumference (cm)</imputation>
  <security>Arm circumference (cm)</security>
  <embargo>Arm circumference (cm)</embargo>
  <respUnit>Arm circumference (cm)</respUnit>
  <qstn>
    <qstnLit>910) ARM CIRCUMFERENCE (IN CENTIMETERS):

CIRCUMFERENCE: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For women who gave birth in the three to five years before the survey, BIOFARMCIRCCM (V436) reports the circumference of the respondent's left upper arm in millimeters. Dividing BIOFARMCIRCCM by 10 yields the respondent's measured arm circumference in centimeters.

IPUMS-DHS has not recoded any numeric values in BIOFARMCIRCCM. However, some values are outside of a plausible range for adult arm circumference. Researchers are encouraged to set upper and lower bounds to reflect a plausible range.</txt>
  <concept>
    <title>Female anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_CHDESIRE" name="C_CHDESIRE" files="C" intrvl="discrete">
  <labl>Whether and when this child's pregnancy wanted</labl>
  <imputation>Whether and when this child's pregnancy wanted</imputation>
  <security>Whether and when this child's pregnancy wanted</security>
  <embargo>Whether and when this child's pregnancy wanted</embargo>
  <respUnit>Whether and when this child's pregnancy wanted</respUnit>
  <qstn>
    <qstnLit>403) At the time you became pregnant with (NAME), did you want to become pregnant then, did you want to wait until later, or did you want no more children at all?

THEN 1 (GO TO 405)
LATER 2
NO MORE 3 (GO TO 405)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Wanted then</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Wanted later</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>No more wanted</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the three to five years preceding the survey, CHDESIRE (M10) indicates whether the child was wanted at the time of pregnancy, was wanted but later, or was not wanted at all.</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_CHDESIREL" name="C_CHDESIREL" files="C" intrvl="discrete">
  <labl>Time wanted to wait before pregnancy</labl>
  <imputation>Time wanted to wait before pregnancy</imputation>
  <security>Time wanted to wait before pregnancy</security>
  <embargo>Time wanted to wait before pregnancy</embargo>
  <respUnit>Time wanted to wait before pregnancy</respUnit>
  <qstn>
    <qstnLit>404) How much longer would you have liked to have waited?

MONTHS: ___ 1
YEARS: ___ 2
DON'T KNOW 998</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>MONTHS</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>95</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>96</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>97</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>98</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Months, number unspecified</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>YEARS</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30+</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Years, number unspecified</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the three to five years before the survey to women who wanted to become pregnant later, CHDESIREL (M11) reports the length of time the mother would have wanted to wait for that pregnancy. 

Following DHS convention, intervals reported in weeks are coded with a "1" in the first digit, while intervals reported in years are coded with a "2" in the first digit.</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_KIDSEX" name="C_KIDSEX" files="C" intrvl="discrete">
  <labl>Sex of child</labl>
  <imputation>Sex of child</imputation>
  <security>Sex of child</security>
  <embargo>Sex of child</embargo>
  <respUnit>Sex of child</respUnit>
  <qstn>
    <qstnLit>214) Is (NAME) a boy or a girl?

BOY 1
GIRL 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <txt>KIDSEX (B4) reports the sex of the child.</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_KIDALIVE" name="C_KIDALIVE" files="C" intrvl="discrete">
  <labl>Child is alive</labl>
  <imputation>Child is alive</imputation>
  <security>Child is alive</security>
  <embargo>Child is alive</embargo>
  <respUnit>Child is alive</respUnit>
  <qstn>
    <qstnLit>216) Is (NAME) still alive?

YES 1
NO 2 (GO TO 220)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <txt>KIDALIVE (B5) reports whether the child was alive or dead at the time of interview.</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_KIDBIRTHMO" name="C_KIDBIRTHMO" files="C" intrvl="discrete">
  <labl>Child's month of birth</labl>
  <imputation>Child's month of birth</imputation>
  <security>Child's month of birth</security>
  <embargo>Child's month of birth</embargo>
  <respUnit>Child's month of birth</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <txt>KIDBIRTHMO (B1) reports the child's month of birth, according to the Gregorian calendar.</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_KIDBIRTHYR" name="C_KIDBIRTHYR" files="C" intrvl="discrete">
  <labl>Child's year of birth</labl>
  <imputation>Child's year of birth</imputation>
  <security>Child's year of birth</security>
  <embargo>Child's year of birth</embargo>
  <respUnit>Child's year of birth</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1948</catValu>
    <labl>1948</labl>
  </catgry>
  <catgry>
    <catValu>1949</catValu>
    <labl>1949</labl>
  </catgry>
  <catgry>
    <catValu>1950</catValu>
    <labl>1950</labl>
  </catgry>
  <catgry>
    <catValu>1951</catValu>
    <labl>1951</labl>
  </catgry>
  <catgry>
    <catValu>1952</catValu>
    <labl>1952</labl>
  </catgry>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>2017</labl>
  </catgry>
  <catgry>
    <catValu>2018</catValu>
    <labl>2018</labl>
  </catgry>
  <txt>KIDBIRTHYR (B2) reports the child's year of birth, according to the Gregorian calendar.</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_KIDAGEINFO" name="C_KIDAGEINFO" files="C" intrvl="discrete">
  <labl>Completeness of information about child's age and date of birth</labl>
  <imputation>Completeness of information about child's age and date of birth</imputation>
  <security>Completeness of information about child's age and date of birth</security>
  <embargo>Completeness of information about child's age and date of birth</embargo>
  <respUnit>Completeness of information about child's age and date of birth</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Month, year, and day complete</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Month and year complete</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Year and season</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Year, season, and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Year and age - month imputed</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Year and age - year ignored</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Month and age - year imputed</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Year - age calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Year - age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Age - year calculated, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Age - year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Month - age, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>None - all imputed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>KIDAGEINFO (B10) reports the completeness of information about the child's age and date of birth.</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_KIDCURAGE" name="C_KIDCURAGE" files="C" intrvl="discrete">
  <labl>Current age of child in years</labl>
  <imputation>Current age of child in years</imputation>
  <security>Current age of child in years</security>
  <embargo>Current age of child in years</embargo>
  <respUnit>Current age of child in years</respUnit>
  <qstn>
    <qstnLit>217) IF ALIVE: How old was (NAME) at his/her last birthday?

RECORD AGE IN COMPLETED YEARS.

AGE IN YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35 years</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36 years</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37 years</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38 years</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39 years</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40 years</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41 years</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42 years</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>KIDCURAGE (B8) reports the current age of the child, in years, at the time of the survey.</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_KIDDOBCMC" name="C_KIDDOBCMC" files="C" intrvl="contin">
  <labl>Child's date of birth (CMC)</labl>
  <imputation>Child's date of birth (CMC)</imputation>
  <security>Child's date of birth (CMC)</security>
  <embargo>Child's date of birth (CMC)</embargo>
  <respUnit>Child's date of birth (CMC)</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <txt>KIDDOBCMC (B3) reports the century month code for the date of birth of the child.</txt>
  <codInstr>KIDDOBCMC (B3) is a 4-digit variable.</codInstr>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_KIDBORD" name="C_KIDBORD" files="C" intrvl="discrete">
  <labl>Child's birth order number</labl>
  <imputation>Child's birth order number</imputation>
  <security>Child's birth order number</security>
  <embargo>Child's birth order number</embargo>
  <respUnit>Child's birth order number</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <txt>KIDBORD (BORD) reports the birth order in which the child was born, from 1 to n, where 1 = the first child born to a mother, and the nth birth is the most recently born child. Up to 20 births could be reported by a woman.</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_KIDTWIN" name="C_KIDTWIN" files="C" intrvl="discrete">
  <labl>Child is twin or single birth</labl>
  <imputation>Child is twin or single birth</imputation>
  <security>Child is twin or single birth</security>
  <embargo>Child is twin or single birth</embargo>
  <respUnit>Child is twin or single birth</respUnit>
  <qstn>
    <qstnLit>213) When (NAME) was born, was he/she alone or did he/she have a twin?

SINGLE 1
MULTIPLE 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Single birth/not a twin</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Twin or multiple</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>1st of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>2nd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>3rd of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>4th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>5th of multiple births</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>6th of multiple births</labl>
  </catgry>
  <txt>KIDTWIN (B0) reports whether the child is a twin (or born in a multiple birth) or is a single birth.</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_KIDAGEDEATH" name="C_KIDAGEDEATH" files="C" intrvl="discrete">
  <labl>Child age at death (non-imputed)</labl>
  <imputation>Child age at death (non-imputed)</imputation>
  <security>Child age at death (non-imputed)</security>
  <embargo>Child age at death (non-imputed)</embargo>
  <respUnit>Child age at death (non-imputed)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Days: Died on day of birth</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 days</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 days</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 days</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 days</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 days</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>Days, unknown</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>Days old, number missing</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Months old: Month of birth</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 months</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 months</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 months</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 months</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 months</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 months</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 months</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 months</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 months</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 months</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 months</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 months</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 months</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 months</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 months</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 months</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 months</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 months</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 months</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 months</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 months</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 months</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 months</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35 months</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36 months</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37 months</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38 months</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39 months</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40 months</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41 months</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42 months</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43 months</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44 months</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45 months</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46 months</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47 months</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48 months</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49 months</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50 months</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51 months</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52 months</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>53 months</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>54 months</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>55 months</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>56 months</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>57 months</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>58 months</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>59 months</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>60 months</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>61 months</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>62 months</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>63 months</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>64 months</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>65 months</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>66 months</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>Months, inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>Months, unknown</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>Months old, number missing</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Years</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>1 year</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>2 years</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>3 years</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>4 years</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>5 years</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>6 years</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>7 years</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>8 years</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>9 years</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>10 years</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>11 years</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>12 years</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>13 years</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>14 years</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>15 years</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>16 years</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>17 years</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>18 years</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>19 years</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>20 years</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>21 years</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>22 years</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>23 years</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>24 years</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>25 years</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>26 years</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>27 years</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>28 years</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>29 years</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>30 years</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>31 years</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>32 years</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>33 years</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>34 years</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>35 years</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>36 years</labl>
  </catgry>
  <catgry>
    <catValu>337</catValu>
    <labl>37 years</labl>
  </catgry>
  <catgry>
    <catValu>338</catValu>
    <labl>38 years</labl>
  </catgry>
  <catgry>
    <catValu>339</catValu>
    <labl>39 years</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>40 years</labl>
  </catgry>
  <catgry>
    <catValu>397</catValu>
    <labl>Years old, number inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>398</catValu>
    <labl>Years old, number unknown</labl>
  </catgry>
  <catgry>
    <catValu>399</catValu>
    <labl>Years old, number missing</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For deceased children, KIDAGEDEATH (B6) reports the age of the child at death in days, months or years. The first digit of the codes indicates the time unit: 1 for days, 2 for months, 3 for years.</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_KIDAGEDIEDIMP" name="C_KIDAGEDIEDIMP" files="C" intrvl="discrete">
  <labl>Child's age at death in month (including imputed)</labl>
  <imputation>Child's age at death in month (including imputed)</imputation>
  <security>Child's age at death in month (including imputed)</security>
  <embargo>Child's age at death in month (including imputed)</embargo>
  <respUnit>Child's age at death in month (including imputed)</respUnit>
  <qstn>
    <qstnLit>220) IF DECEASED: How old was he/she when he/she died?

IF '1 YR', PROBE: How many months old was (NAME)?

RECORD DAYS IF LESS THAN ONE MONTH, MONTHS IF LESS THAN TWO YEARS, OR IN YEARS.

DAYS: ___ 1
MONTHS: ___ 2
YEARS: ___ 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For deceased children, KIDAGEDIEDIMP (B7) reports the age of the child at death in months (including imputed ages).</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_KIDAGEDEATHFLAG" name="C_KIDAGEDEATHFLAG" files="C" intrvl="discrete">
  <labl>Flags for reported age at death of child</labl>
  <imputation>Flags for reported age at death of child</imputation>
  <security>Flags for reported age at death of child</security>
  <embargo>Flags for reported age at death of child</embargo>
  <respUnit>Flags for reported age at death of child</respUnit>
  <catgry>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Reported age places death after interview</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Reported age less than reported duration breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Reported age less than age given supplemental food</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Reported age less than age first breastfed</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Reported age before last vaccination</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Reported age outside expected range for units</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Reported age was imputed, units given</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Reported age was imputed, units not given</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>KIDAGEDEATHFLAG (B13) reports the type of problem, if any, found when editing responses about the child's age at death (in KIDAGEDEATH). A code of 0 indicates no problem with the original response.</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_KIDLIVESWITH" name="C_KIDLIVESWITH" files="C" intrvl="discrete">
  <labl>Child lives with female respondent or with others</labl>
  <imputation>Child lives with female respondent or with others</imputation>
  <security>Child lives with female respondent or with others</security>
  <embargo>Child lives with female respondent or with others</embargo>
  <respUnit>Child lives with female respondent or with others</respUnit>
  <qstn>
    <qstnLit>218) IF ALIVE: Is (NAME) living with you?

YES 1 (GO TO NEXT BIRTH)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Woman respondent</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>With father</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>With other relative</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>With someone else</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Child age 15+, lives elsewhere</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>KIDLIVESWITH (B9) reports the person the child usually lives with (i.e., the child's mother or someone else).</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BIRTHINTPREMO" name="C_BIRTHINTPREMO" files="C" intrvl="discrete">
  <labl>Length of preceding birth interval, in months</labl>
  <imputation>Length of preceding birth interval, in months</imputation>
  <security>Length of preceding birth interval, in months</security>
  <embargo>Length of preceding birth interval, in months</embargo>
  <respUnit>Length of preceding birth interval, in months</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>005</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>004</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>003</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>002</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>001</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>000</catValu>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>006</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>007</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>008</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>009</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>010</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>011</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>012</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>013</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>014</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>015</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>016</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>017</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>018</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>019</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>020</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>021</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>022</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>023</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>024</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>025</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>026</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>027</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>028</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>029</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>030</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>031</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>032</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>033</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>034</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>035</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>036</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>037</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>038</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>039</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>040</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>041</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>042</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>043</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>044</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>045</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>046</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>047</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>048</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>049</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>050</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>051</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>052</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>053</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>054</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>055</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>056</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>057</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>058</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>059</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>060</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>061</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>062</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>063</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>064</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>065</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>066</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>067</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>068</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>069</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>070</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>071</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>072</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>073</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>074</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>075</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>076</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>077</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>078</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>079</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>080</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>081</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>082</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>083</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>084</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>085</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>086</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>087</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>088</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>089</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>090</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>091</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>092</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>093</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>094</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>095</catValu>
    <labl>95</labl>
  </catgry>
  <catgry>
    <catValu>096</catValu>
    <labl>96</labl>
  </catgry>
  <catgry>
    <catValu>097</catValu>
    <labl>97</labl>
  </catgry>
  <catgry>
    <catValu>098</catValu>
    <labl>98</labl>
  </catgry>
  <catgry>
    <catValu>099</catValu>
    <labl>99</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>100</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>101</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>102</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>103</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>104</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>105</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>106</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>107</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>108</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>109</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>110</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>111</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>112</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>113</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>114</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>115</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>116</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>117</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>118</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>119</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>120</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>121</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>122</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>123</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>124</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>125</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>126</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>127</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>128</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>129</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>130</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>131</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>132</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>133</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>134</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>135</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>136</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>137</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>138</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>139</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>140</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>141</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>142</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>143</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>144</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>145</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>146</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>147</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>148</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>149</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>150</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>151</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>152</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>153</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>154</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>155</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>156</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>157</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>158</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>159</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>160</labl>
  </catgry>
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    <catValu>161</catValu>
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    <catValu>162</catValu>
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  <catgry>
    <catValu>163</catValu>
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  <catgry>
    <catValu>164</catValu>
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    <catValu>165</catValu>
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    <catValu>166</catValu>
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    <catValu>167</catValu>
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    <catValu>168</catValu>
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    <catValu>169</catValu>
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    <catValu>170</catValu>
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    <catValu>171</catValu>
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    <catValu>172</catValu>
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    <catValu>173</catValu>
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    <catValu>174</catValu>
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    <catValu>175</catValu>
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    <catValu>176</catValu>
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    <catValu>177</catValu>
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  <catgry>
    <catValu>178</catValu>
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  <catgry>
    <catValu>179</catValu>
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  <catgry>
    <catValu>180</catValu>
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    <catValu>181</catValu>
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    <catValu>182</catValu>
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    <catValu>183</catValu>
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    <catValu>184</catValu>
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    <catValu>185</catValu>
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    <catValu>186</catValu>
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    <catValu>187</catValu>
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    <catValu>188</catValu>
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    <catValu>189</catValu>
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    <catValu>190</catValu>
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    <catValu>191</catValu>
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    <catValu>192</catValu>
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    <catValu>193</catValu>
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    <catValu>194</catValu>
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    <catValu>195</catValu>
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    <catValu>196</catValu>
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    <catValu>197</catValu>
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    <catValu>198</catValu>
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    <catValu>199</catValu>
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    <catValu>200</catValu>
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    <catValu>201</catValu>
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    <catValu>202</catValu>
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    <catValu>203</catValu>
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    <catValu>204</catValu>
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    <catValu>205</catValu>
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    <catValu>206</catValu>
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    <catValu>207</catValu>
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    <catValu>208</catValu>
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    <catValu>209</catValu>
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    <catValu>210</catValu>
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    <catValu>211</catValu>
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    <catValu>212</catValu>
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    <catValu>213</catValu>
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    <catValu>214</catValu>
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    <catValu>215</catValu>
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    <catValu>216</catValu>
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    <catValu>217</catValu>
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    <catValu>218</catValu>
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    <catValu>219</catValu>
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  <catgry>
    <catValu>220</catValu>
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  <catgry>
    <catValu>221</catValu>
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    <catValu>222</catValu>
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    <catValu>223</catValu>
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    <catValu>224</catValu>
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    <catValu>225</catValu>
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    <catValu>226</catValu>
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    <catValu>227</catValu>
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    <catValu>228</catValu>
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    <catValu>229</catValu>
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    <catValu>230</catValu>
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    <catValu>231</catValu>
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    <catValu>232</catValu>
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    <catValu>233</catValu>
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    <catValu>234</catValu>
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    <catValu>235</catValu>
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    <catValu>236</catValu>
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    <catValu>237</catValu>
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    <catValu>238</catValu>
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    <catValu>239</catValu>
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    <catValu>240</catValu>
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    <catValu>241</catValu>
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    <catValu>242</catValu>
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    <catValu>243</catValu>
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    <catValu>244</catValu>
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    <catValu>245</catValu>
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    <catValu>246</catValu>
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    <catValu>247</catValu>
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    <catValu>248</catValu>
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    <catValu>249</catValu>
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    <catValu>250</catValu>
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    <catValu>251</catValu>
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    <catValu>253</catValu>
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    <catValu>254</catValu>
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    <catValu>255</catValu>
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    <catValu>256</catValu>
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    <catValu>258</catValu>
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    <catValu>260</catValu>
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    <catValu>273</catValu>
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    <catValu>275</catValu>
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    <catValu>278</catValu>
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    <catValu>279</catValu>
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    <catValu>281</catValu>
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    <catValu>288</catValu>
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    <catValu>305</catValu>
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  <catgry>
    <catValu>355</catValu>
    <labl>355</labl>
  </catgry>
  <catgry>
    <catValu>356</catValu>
    <labl>356</labl>
  </catgry>
  <catgry>
    <catValu>357</catValu>
    <labl>357</labl>
  </catgry>
  <catgry>
    <catValu>358</catValu>
    <labl>358</labl>
  </catgry>
  <catgry>
    <catValu>359</catValu>
    <labl>359</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>360</labl>
  </catgry>
  <catgry>
    <catValu>361</catValu>
    <labl>361</labl>
  </catgry>
  <catgry>
    <catValu>362</catValu>
    <labl>362</labl>
  </catgry>
  <catgry>
    <catValu>363</catValu>
    <labl>363</labl>
  </catgry>
  <catgry>
    <catValu>364</catValu>
    <labl>364</labl>
  </catgry>
  <catgry>
    <catValu>365</catValu>
    <labl>365</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the three to five years preceding the survey who are not the first-born, or the twin of the first-born, child, BIRTHINTPREMO (B11) indicates the preceding birth interval, or the length of time in months the child was born after the mother's previous birth (i.e., after the child's first older sibling).</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BIRTHINTPOSTMO" name="C_BIRTHINTPOSTMO" files="C" intrvl="discrete">
  <labl>Length of following birth interval, in months</labl>
  <imputation>Length of following birth interval, in months</imputation>
  <security>Length of following birth interval, in months</security>
  <embargo>Length of following birth interval, in months</embargo>
  <respUnit>Length of following birth interval, in months</respUnit>
  <qstn>
    <qstnLit>215) In what month and year was (NAME) born?

PROBE: What is his or her birthday?
OR: In what season was he/she born?

IF MONTH/SEASON UNKNOWN, ENTER '98'.

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the three to five years preceding the survey who are not the last-born, or twin of the last-born, child, BIRTHINTPOSTMO (B12) indicates the succeeding birth interval, or the length of time in months the child was born before the mother's next birth (or before the child's first younger sibling).</txt>
  <concept>
    <title>Child demography core Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_KIDAGEMO" name="C_KIDAGEMO" files="C" intrvl="discrete">
  <labl>Age of child in months</labl>
  <imputation>Age of child in months</imputation>
  <security>Age of child in months</security>
  <embargo>Age of child in months</embargo>
  <respUnit>Age of child in months</respUnit>
  <qstn>
    <qstnLit>904) BIRTH DATE FROM QUESTION 105 FOR RESPONDENT AND 215 FOR CHILDREN, AND ASK THE DATE OF BIRTH:

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children born in the three to five years before the survey, KIDAGEMO (HW1) reports the child's age in months at the time of the mother's interview (and at the time of the height and weight measurement of the child). This information is useful for calculating child malnutrition indicators such as height-for-age (stunting) and weight-for-age (underweight). The DHS Recode manuals report that the child's age in months is calculated from the century month code of the date of interview minus the century month code of the date of birth of the child.</txt>
  <concept>
    <title>Child anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HWWEIGHT" name="C_HWWEIGHT" files="C" intrvl="discrete">
  <labl>Child's weight in kilograms</labl>
  <imputation>Child's weight in kilograms</imputation>
  <security>Child's weight in kilograms</security>
  <embargo>Child's weight in kilograms</embargo>
  <respUnit>Child's weight in kilograms</respUnit>
  <qstn>
    <qstnLit>909) WEIGHT (IN KILOGRAMS):

WEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9994</catValu>
    <labl>Not present</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Refused</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Weight out of range</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children born in the three to five years before the survey, HWWEIGHT (HW2) reports the child's weight as measured by DHS personnel. HWWEIGHT values are reported in tenths of a kilogram, to preserve one kilogram decimal place without requiring the use of a decimal point. Dividing the HWWEIGHT value by 10 will yield the child's measured weight in kilograms.</txt>
  <concept>
    <title>Child anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HWHEIGHT" name="C_HWHEIGHT" files="C" intrvl="discrete">
  <labl>Child's height in centimeters</labl>
  <imputation>Child's height in centimeters</imputation>
  <security>Child's height in centimeters</security>
  <embargo>Child's height in centimeters</embargo>
  <respUnit>Child's height in centimeters</respUnit>
  <qstn>
    <qstnLit>907) HEIGHT (IN CENTIMETERS):

HEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9994</catValu>
    <labl>Not present</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Refused</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Out of range</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children born in the three to five years before the survey, HWHEIGHT (HW3) reports the child's height as measured by DHS personnel. HWHEIGHT values are reported in millimeters, to preserve one centimeter decimal place without requiring the use of a decimal point. Dividing HWHEIGHT by 10 will yield the child's measured height in centimeters. 

In most surveys, HWHEIGHT was measured as a standing height for children at least 24 months old and as a recumbent length (with the child lying down) for children less than 24 months old, following WHO guidelines. As the DHS recode manuals note, however, there may be discrepancies between policy and practice with respect to this protocol. The related variable HWHTHOWMEAS indicates whether the child's height was measured as a recumbent length or a standing height, and is available for most surveys from Phase 2 forward.</txt>
  <concept>
    <title>Child anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HWINDEX" name="C_HWINDEX" files="C" intrvl="discrete">
  <labl>Index to birth history, for child measurement</labl>
  <imputation>Index to birth history, for child measurement</imputation>
  <security>Index to birth history, for child measurement</security>
  <embargo>Index to birth history, for child measurement</embargo>
  <respUnit>Index to birth history, for child measurement</respUnit>
  <qstn>
    <qstnLit>902) LINE NUMBER FROM QUESTION 212:

LINE NUMBER: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>HWINDEX (HWIDX) reports the line number, in the birth history, of children under age 5 who were included in the health history of the women's questionnaire and who were potential subjects for height and weight measurement.  The most recently born child would be coded 1, and the line number of the child should match the number in BIDX (index to birth history) and HIDX (index to children in health history).</txt>
  <concept>
    <title>Child anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HWWTHTPCT" name="C_HWWTHTPCT" files="C" intrvl="discrete">
  <labl>Weight for height percentile (CDC standards)</labl>
  <imputation>Weight for height percentile (CDC standards)</imputation>
  <security>Weight for height percentile (CDC standards)</security>
  <embargo>Weight for height percentile (CDC standards)</embargo>
  <respUnit>Weight for height percentile (CDC standards)</respUnit>
  <qstn>
    <qstnLit>909) WEIGHT (IN KILOGRAMS):

WEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9997</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children born in the three to five years before the survey, HWWTHTPCT (HW10) reports the child's weight-for-height percentile, based on smoothed percentile growth charts by height and sex developed by the U.S. Centers for Disease Control.  

Low child weight-for-height, or "wasting," is an indicator of acute malnutrition. The 5th percentile on growth charts has often been used as a screening cutoff to identify infants and children at greater nutritional and health risk. 
 
HWWEIGHT (HW2) reports the child's weight as measured by DHS personnel. HWHEIGHT (HW3) reports the child's measured height in centimeters. The related variable KIDAGEMO (HW1) reports the child's age in months at the time of measurement.

For an alternative measure of child wasting in terms of weight-for-height using the same reference population, see HWWHZNCHS (HW11).  HWWHZNCHS reports the difference between the child's weight and the median weight of the CDC reference population of the same height and sex, expressed in units equal to one standard deviation of the reference population's distribution.</txt>
  <concept>
    <title>Child anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HWWHZNCHS" name="C_HWWHZNCHS" files="C" intrvl="discrete">
  <labl>Weight for height standard deviations from reference median (CDC)</labl>
  <imputation>Weight for height standard deviations from reference median (CDC)</imputation>
  <security>Weight for height standard deviations from reference median (CDC)</security>
  <embargo>Weight for height standard deviations from reference median (CDC)</embargo>
  <respUnit>Weight for height standard deviations from reference median (CDC)</respUnit>
  <qstn>
    <qstnLit>909) WEIGHT (IN KILOGRAMS):

WEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9997</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children born in the three to five years before the survey, HWWHZNCHS (HW11) reports the difference between the child's weight and the median weight of a reference population of the same height and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score.  HWWHZNCHS values are provided in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing HWWHZNCHS by 100 will yield a child's weight-for-height Z-score (WHZ) value. 

Low child weight-for-height, or "wasting," is an indicator of acute malnutrition. The WHO Global Database on Child Growth and Malnutrition [URL omitted from DDI.] considers a weight-for-height Z-score (WHZ) between -2 and -3 to represent moderate acute malnutrition, and WHZ below -3 to represent severe acute malnutrition. 

Reference populations used to generate HWWHZNCHS draw from 1978 U.S. CDC National Center for Health Statistics (NCHS) international growth reference [URL omitted from DDI.] data. This reference was considered standard by WHO until the 2006 release of the WHO Multicenter Growth Reference Study (MGRS), which generated new standard anthropometry curves using a globally diverse reference population intended to reflect healthy growth conditions. DHS has continued to release child anthropometric variables using NCHS/CDC 1978 reference populations, to preserve comparability with samples preceding the 2006 WHO MGRS release. 

DHS has also created anthropometric Z-score variables using WHO MGRS 2006 reference populations. The variable HWWHZWHO (HW72) uses WHO MGRS 2006 reference populations to generate weight-for-height Z-scores. This variable was generated for all DHS samples including the necessary anthropometric measurements, including those preceding 2006.

HWWEIGHT (HW2) reports the child's weight as measured by DHS personnel, and HWHEIGHT (HW3) reports the child's length or height as measured by DHS personnel. See HWHEIGHT (HW3) and HWHTHOWMEAS (HW15) for specifics on child length/height measurement.

The complementary DHS variable HWWTHTPCT (HW10) reports the child's weight-for-height percentile within the same reference population used in HWWHZNCHS.  The complementary DHS variable HWWTHTPCTRM (HW12) reports the child's weight-for-height as a percentage of the median of the same reference population. Unlike z-scores, percentiles do not allow comparison across age and sex and cannot assess longitudinal change in growth status; users are advised to consult anthropometry literature [URL omitted from DDI.] for further discussion.</txt>
  <concept>
    <title>Child anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HWWTHTPCTRM" name="C_HWWTHTPCTRM" files="C" intrvl="discrete">
  <labl>Weight for height percent of reference median (CDC standards)</labl>
  <imputation>Weight for height percent of reference median (CDC standards)</imputation>
  <security>Weight for height percent of reference median (CDC standards)</security>
  <embargo>Weight for height percent of reference median (CDC standards)</embargo>
  <respUnit>Weight for height percent of reference median (CDC standards)</respUnit>
  <qstn>
    <qstnLit>909) WEIGHT (IN KILOGRAMS):

WEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>99997</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>99998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children born in the three to five years before the survey, HWWTHTPCTRM (HW12) reports the child's weight-for-height as a percent of the median weight in growth charts by height and sex developed by the U.S. Centers for Disease Control.  

Low child weight-for-height, or "wasting," is an indicator of acute malnutrition. The 5th percentile on growth charts has often been used as a screening cutoff to identify infants and children at greater nutritional and health risk. 
 
HWWEIGHT (HW2) reports the child's weight as measured by DHS personnel. HWHEIGHT (HW3) reports the child's measured height in centimeters. The related variable KIDAGEMO (HW1) reports the child's age in months at the time of measurement.

For an alternative measure of child wasting in terms of weight-for-height using the same reference population, see HWWHZNCHS (HW11).  HWWHZNCHS reports the difference between the child's weight and the median weight of the CDC reference population of the same height and sex, expressed in units equal to one standard deviation of the reference population's distribution.</txt>
  <concept>
    <title>Child anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HWWTAPCT" name="C_HWWTAPCT" files="C" intrvl="discrete">
  <labl>Weight for age percentile (CDC standards)</labl>
  <imputation>Weight for age percentile (CDC standards)</imputation>
  <security>Weight for age percentile (CDC standards)</security>
  <embargo>Weight for age percentile (CDC standards)</embargo>
  <respUnit>Weight for age percentile (CDC standards)</respUnit>
  <qstn>
    <qstnLit>909) WEIGHT (IN KILOGRAMS):

WEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9997</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children born in the three to five years before the survey, HWWTAPCT (HW7) reports the child's weight-for-age percentile, based on smoothed percentile growth charts by age and sex developed by the U.S. Centers for Disease Control.  

Low child weight-for-age, or "underweight," is an indicator of chronic and/or acute malnutrition. The 5th percentile on growth charts has often been used as a screening cutoff to identify infants and children at greater nutritional and health risk. 
 
HWWEIGHT (HW2) reports the child's weight as measured by DHS personnel. The related variable KIDAGEMO (HW1) reports the child's age in months at the time of measurement.

For an alternative measure of child wasting in terms of weight-for-age using the same reference population, see HWWAZNCHS (HW8).  HWWAZNCHS reports the difference between the child's weight and the median weight of the CDC reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution.</txt>
  <concept>
    <title>Child anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HWWAZNCHS" name="C_HWWAZNCHS" files="C" intrvl="discrete">
  <labl>Weight for age standard deviations from reference median (CDC)</labl>
  <imputation>Weight for age standard deviations from reference median (CDC)</imputation>
  <security>Weight for age standard deviations from reference median (CDC)</security>
  <embargo>Weight for age standard deviations from reference median (CDC)</embargo>
  <respUnit>Weight for age standard deviations from reference median (CDC)</respUnit>
  <qstn>
    <qstnLit>909) WEIGHT (IN KILOGRAMS):

WEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9997</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children born in the three to five years before the survey, HWWAZNCHS (HW8) reports the difference between the child's weight and the median weight of a reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score. HWWAZNCHS values are provided in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing HWWAZNCHS by 100 will yield a child's weight-for-age Z-score (WAZ) value. 

Low child weight-for-age, or "underweight," is a composite indicator of acute and/or chronic malnutrition. The WHO Global Database on Child Growth and Malnutrition [URL omitted from DDI.] considers a weight-for-age Z-score (WAZ) between -2 and -3 to represent moderate malnutrition, and WAZ below -3 to represent severe malnutrition.

Reference populations used to generate HWWAZNCHS draw from 1978 U.S. National Center for Health Statistics (NCHS) international growth reference [URL omitted from DDI.] data. This reference was considered standard by WHO until the 2006 release of the WHO Multicenter Growth Reference Study (MGRS), which generated new standard anthropometry curves using a globally diverse reference population intended to reflect healthy growth conditions. 

DHS has also created anthropometric Z-score variables using WHO MGRS 2006 reference populations. HWWAZWHO (HW71) uses WHO MGRS 2006 reference populations to generate weight-for-age Z-scores. This variable was generated for all samples including the necessary anthropometric measurements, including those preceding 2006.

HWWEIGHT (HW2) reports the child's weight in kilograms as measured by DHS personnel. KIDAGEMO (HW1) reports the child's age in months at the time of measurement.</txt>
  <concept>
    <title>Child anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HWWTAPCTRM" name="C_HWWTAPCTRM" files="C" intrvl="discrete">
  <labl>Weight for age percent of the reference median (CDC standards)</labl>
  <imputation>Weight for age percent of the reference median (CDC standards)</imputation>
  <security>Weight for age percent of the reference median (CDC standards)</security>
  <embargo>Weight for age percent of the reference median (CDC standards)</embargo>
  <respUnit>Weight for age percent of the reference median (CDC standards)</respUnit>
  <qstn>
    <qstnLit>909) WEIGHT (IN KILOGRAMS):

WEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>99998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>99997</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <txt>For surviving children born in the three to five years before the survey, HWWTAPCTRM (HW9) reports the child's weight-for-age as a percent of the median weight for a reference population of the same age and sex.  For this variable, the reference population was developed by the U.S. Centers for Disease Control.  Low child weight-for-age, or "underweight," is an indicator of acute and/or chronic malnutrition,

HWWEIGHT (HW2) reports the child's weight as measured by DHS personnel. The related variable KIDAGEMO (HW1) reports the child's age in months at the time of measurement.

The similar variable HWWTAPCT (HW7) reports the child's weight-for-age percentile relative to smoothed percentile growth charts by age and sex, for the same reference population.

For an alternative measure of child stunting in terms of weight-for-age and using the same reference population, see HWWAZNCHS (HW8).  HWWAZNCHS reports the difference between the child's height and the median weight of the CDC reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution.</txt>
  <concept>
    <title>Child anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HWHTAPCT" name="C_HWHTAPCT" files="C" intrvl="discrete">
  <labl>Height for Age percentile (CDC standards)</labl>
  <imputation>Height for Age percentile (CDC standards)</imputation>
  <security>Height for Age percentile (CDC standards)</security>
  <embargo>Height for Age percentile (CDC standards)</embargo>
  <respUnit>Height for Age percentile (CDC standards)</respUnit>
  <qstn>
    <qstnLit>907) HEIGHT (IN CENTIMETERS):

HEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9997</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children born in the three to five years before the survey, HWHTAPCT (HW4) reports the child's height-for-age percentile, based on smoothed percentile growth charts by age and sex developed by the U.S. Centers for Disease Control.  

Low child height-for-age, or "stunting," is an indicator of chronic malnutrition,
The 5th percentile on growth charts has often been used as a screening cutoff to identify infants and children at greater nutritional and health risk. 
 
HWHEIGHT (HW3) reports the child's length or height as measured by DHS personnel. See this variable and HWHTHOWMEAS (HW15) for specifics on child length/height measurement. The related variable KIDAGEMO (HW1) reports the child's age in months at the time of measurement.

For an alternative measure of child stunting in terms of height-for-age for the same reference population, see HWHAZNCHS (HW5).  HWHAZNCHS reports the difference between the child's height and the median height of the CDC reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution.</txt>
  <concept>
    <title>Child anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HWHAZNCHS" name="C_HWHAZNCHS" files="C" intrvl="discrete">
  <labl>Height for age standard deviations from reference median (CDC)</labl>
  <imputation>Height for age standard deviations from reference median (CDC)</imputation>
  <security>Height for age standard deviations from reference median (CDC)</security>
  <embargo>Height for age standard deviations from reference median (CDC)</embargo>
  <respUnit>Height for age standard deviations from reference median (CDC)</respUnit>
  <qstn>
    <qstnLit>907) HEIGHT (IN CENTIMETERS):

HEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>9997</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children born in the three to five years before the survey, HWHAZNCHS (HW5) reports the difference between the child's height and the median height of a reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score. HWHAZNCHS values are reported in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing HWHAZNCHS by 100 will yield a child's height-for-age Z-score (HAZ) value. 

Low child height-for-age, or "stunting," is an indicator of chronic malnutrition. The WHO Global Database on Child Growth and Malnutrition [URL omitted from DDI.] considers a height-for-age Z-score (HAZ) between -2 and -3 to represent moderate chronic malnutrition, and HAZ scores below -3 to represent severe chronic malnutrition. 

Reference populations used to generate HWHAZNCHS draw from 1978 U.S. CDC National Center for Health Statistics (NCHS) international growth reference [URL omitted from DDI.] data. This reference was considered standard by WHO until the 2006 release of the WHO Multicenter Growth Reference Study (MGRS), which generated new standard anthropometry curves using a globally diverse reference population intended to reflect healthy growth conditions. DHS has continued to release anthropometric variables using NCHS/CDC 1978 reference populations, to preserve comparability with samples preceding the 2006 WHO MGRS release. 

DHS has also created anthropometric Z-score variables using WHO MGRS 2006 reference populations. The variable HWHAZWHO (HC70) uses WHO MGRS 2006 reference populations to generate height-for-age Z-scores. This variable was generated for all DHS samples including the necessary anthropometric measurements, including those preceding 2006.

HWHEIGHT (HW3) reports the child's length or height as measured by DHS personnel. See this variable and HWHTHOWMEAS (HW15) for specifics on child length/height measurement. The related variable KIDAGEMO (HW1) reports the child's age in months at the time of measurement.

The complementary DHS variable HWHTAPCT (HW4) reports the child's height-for-age percentile within the same reference population used in HWHAZNCHS. The complementary DHS variable HWHTAPCTRM (HW9) reports the child's height-for-age as a percentage of the median of the same reference population. Unlike z-scores, percentiles do not allow comparison across age and sex and cannot assess longitudinal change in growth status; users are advised to consult anthropometry literature [URL omitted from DDI.] for further discussion.</txt>
  <concept>
    <title>Child anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HWHTAPCTRM" name="C_HWHTAPCTRM" files="C" intrvl="discrete">
  <labl>Height for age percent of reference median (CDC standards)</labl>
  <imputation>Height for age percent of reference median (CDC standards)</imputation>
  <security>Height for age percent of reference median (CDC standards)</security>
  <embargo>Height for age percent of reference median (CDC standards)</embargo>
  <respUnit>Height for age percent of reference median (CDC standards)</respUnit>
  <qstn>
    <qstnLit>907) HEIGHT (IN CENTIMETERS):

HEIGHT: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>99997</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>99998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children born in the three to five years before the survey, HWHTAPCTRM (HW6) reports the child's height-for-age as a percent of the median height for a reference population of the same age and sex.  For this variable, the reference population was developed by the U.S. Centers for Disease Control.  Low child height-for-age, or "stunting," is an indicator of chronic malnutrition,

HWHEIGHT (HW3) reports the child's length or height as measured by DHS personnel. See this variable and HWHTHOWMEAS (HW15) for specifics on child length/height measurement. The related variable KIDAGEMO (HW1) reports the child's age in months at the time of measurement.

The similar variable HWHTAPCT (HW4) reports the child's height-for-age percentile relative to smoothed percentile growth charts by age and sex, for the same reference population.

For an alternative measure of child stunting in terms of height-for-age, see HWHAZNCHS (HW5).  HWHAZNCHS reports the difference between the child's height and the median height of the CDC reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution.</txt>
  <concept>
    <title>Child anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HWWHYNOTMEAS" name="C_HWWHYNOTMEAS" files="C" intrvl="discrete">
  <labl>Whether child measured, and, if not, why not</labl>
  <imputation>Whether child measured, and, if not, why not</imputation>
  <security>Whether child measured, and, if not, why not</security>
  <embargo>Whether child measured, and, if not, why not</embargo>
  <respUnit>Whether child measured, and, if not, why not</respUnit>
  <qstn>
    <qstnLit>912) RESULT (WEIGHT AND HEIGHT):

MEASURED 1
CHILD SICK 2
ABSENT 3
REFUSED 4
MOTHER REFUSED 5
OTHER (SPECIFY): ___ 6</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Measured</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Not measured</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Dead</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Sick</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Not present</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Refused</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Mother refused</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>Child asleep</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>No measurement found in household</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>HWWHYNOTMEAS (HW13) indicates whether the child was measured for height and weight or, if not, why the child was not measured.  All "no" responses have a common first digit of "2," while the second digit reveals the reason (e.g., consent refused, dead, sick).</txt>
  <concept>
    <title>Child anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HWBCGSCAR" name="C_HWBCGSCAR" files="C" intrvl="discrete">
  <labl>BCG scar from TB vaccination seen</labl>
  <imputation>BCG scar from TB vaccination seen</imputation>
  <security>BCG scar from TB vaccination seen</security>
  <embargo>BCG scar from TB vaccination seen</embargo>
  <respUnit>BCG scar from TB vaccination seen</respUnit>
  <qstn>
    <qstnLit>906) FOR CHILDREN ONLY: BCG SCAR ON LEFT FOREARM?

SCAR SEEN 1
NO SCAR 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No scar</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Scar seen</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>HWBCGSCAR (HW14) indicates whether DHS personnel saw a BCG (anti-tuberculosis) vaccination scar on the child's arm or shoulder when measuring height and weight. 

 Direct information on whether the child received a BCG vaccination, based on the child's immunization card or the mother's report, is reported in VACBCG.</txt>
  <concept>
    <title>Child anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HWHTHOWMEAS" name="C_HWHTHOWMEAS" files="C" intrvl="discrete">
  <labl>Child's height measured lying down or standing up</labl>
  <imputation>Child's height measured lying down or standing up</imputation>
  <security>Child's height measured lying down or standing up</security>
  <embargo>Child's height measured lying down or standing up</embargo>
  <respUnit>Child's height measured lying down or standing up</respUnit>
  <qstn>
    <qstnLit>908) WAS HEIGHT/LENGTH OF CHILD MEASURED LYING DOWN OR STANDING UP?

LYING DOWN 1
STANDING UP 2</qstnLit>
  </qstn>
  <catgry>
    <labl>Not measured</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Lying down</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Standing up</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <txt>HWHTHOWMEAS (HW15) reports whether the height of children under age 5 was measured when they were lying down or standing up.  According to the DHS Recode Manuals:


In DHS surveys, children aged less than 24 months are to be measured lying down, children 24 months or older are to be measured standing up. There may, however, be a considerable discrepancy between policy and practice!</txt>
  <concept>
    <title>Child anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HWDAYOFBIRTH" name="C_HWDAYOFBIRTH" files="C" intrvl="discrete">
  <labl>Child's day of birth</labl>
  <imputation>Child's day of birth</imputation>
  <security>Child's day of birth</security>
  <embargo>Child's day of birth</embargo>
  <respUnit>Child's day of birth</respUnit>
  <qstn>
    <qstnLit>904) BIRTH DATE FROM QUESTION 105 FOR RESPONDENT AND 215 FOR CHILDREN, AND ASK THE DATE OF BIRTH:

MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children born in the three to five years before the survey, HWDAYOFBIRTH (HW16) reports the day of the month on which the child was born. 

The DHS recode manuals for Phase 2 forward report that the day of birth of the child

is used in conjunction with the date of measurement of the child to more finely calculate the age of the child in days when computing anthropometric measures. This level of accuracy can be important in very young children. The age of the child calculated from the day of birth information is not used as a background characteristic for tabulations, but purely to produce a more accurate set of anthropometric measures.

DHS analysis thus uses HWDAYOFBIRTH and the date of the child's height and weight measurement to precisely calculate child malnutrition indicators such as height-for-age (stunting) and weight-for-age (underweight) Z-scores.</txt>
  <concept>
    <title>Child anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HWDAYMEAS" name="C_HWDAYMEAS" files="C" intrvl="discrete">
  <labl>Day of measurement</labl>
  <imputation>Day of measurement</imputation>
  <security>Day of measurement</security>
  <embargo>Day of measurement</embargo>
  <respUnit>Day of measurement</respUnit>
  <qstn>
    <qstnLit>911) DATE WEIGHED AND MEASURED:

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children born in the three to five years before the survey, HWDAYMEAS (HW17) indicates the day of the month on which the child's height and weight were measured by DHS personnel. The child's age in days on the day of measurement is used in DHS calculations of anthropometric Z-scores. 

The complementary variables HWMONTHMEAS and HWYEARMEAS report the month and the year, respectively, of the child's height and weight measurement.</txt>
  <concept>
    <title>Child anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HWMONTHMEAS" name="C_HWMONTHMEAS" files="C" intrvl="discrete">
  <labl>Month of measurement</labl>
  <imputation>Month of measurement</imputation>
  <security>Month of measurement</security>
  <embargo>Month of measurement</embargo>
  <respUnit>Month of measurement</respUnit>
  <qstn>
    <qstnLit>911) DATE WEIGHED AND MEASURED:

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children born in the three to five years before the survey, HWMONTHMEAS (HW18) reports the month of the year during which the child's height and weight were measured by DHS personnel. 

The complementary variables HWDAYMEAS and HWYEARMEAS report the day (of the month) and the year, respectively, of the child's height and weight measurement.</txt>
  <concept>
    <title>Child anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HWYEARMEAS" name="C_HWYEARMEAS" files="C" intrvl="discrete">
  <labl>Year of measurement</labl>
  <imputation>Year of measurement</imputation>
  <security>Year of measurement</security>
  <embargo>Year of measurement</embargo>
  <respUnit>Year of measurement</respUnit>
  <qstn>
    <qstnLit>911) DATE WEIGHED AND MEASURED:

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>2017</labl>
  </catgry>
  <catgry>
    <catValu>2018</catValu>
    <labl>2018</labl>
  </catgry>
  <txt>For surviving children born in the three to five years before the survey, HWYEARMEAS (HW19) reports the year during which the child's height and weight were measured by DHS personnel. 

The complementary variables HWDAYMEAS and HWMONTHMEAS report the day and the month, respectively, of the child's height and weight measurement.</txt>
  <concept>
    <title>Child anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HWHAZWHO" name="C_HWHAZWHO" files="C" intrvl="discrete">
  <labl>Height for age standard deviations from median (WHO)</labl>
  <imputation>Height for age standard deviations from median (WHO)</imputation>
  <security>Height for age standard deviations from median (WHO)</security>
  <embargo>Height for age standard deviations from median (WHO)</embargo>
  <respUnit>Height for age standard deviations from median (WHO)</respUnit>
  <catgry>
    <catValu>9995</catValu>
    <labl>Height out of plausible limits</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Age in days out of plausible limits</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children born in the three to five years before the survey, HWHAZWHO (HW70) reports the difference between the child's height and the median height of a reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score.  HWHAZWHO values are reported in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing HWHAZWHO by 100 will yield a child's height-for-age Z-score (HAZ) value. 

Low child height-for-age, or "stunting," is an indicator of chronic malnutrition. The WHO Global Database on Child Growth and Malnutrition [URL omitted from DDI.]   considers a height-for-age Z-score (HAZ) between -2 and -3 to represent moderate chronic malnutrition, and HAZ below -3 to represent severe chronic malnutrition. 

Reference populations used to generate HWHAZWHO draw from the WHO Multicenter Growth Reference Study (MGRS) [URL omitted from DDI.]  released in 2006, which defined new standard anthropometry curves using a globally diverse reference population intended to reflect healthy growth conditions. For DHS samples that preceded WHO MGRS release, DHS retroactively calculated height-for-age Z scores using WHO MGRS reference data. 

Prior to the WHO MGRS, DHS anthropometry reference populations drew from 1978 U.S. CDC National Center for Health Statistics (NCHS) international growth reference [URL omitted from DDI.], which was the previous international standard reference. The DHS variable HWHAZNCHS reports the child's height-for-age Z-score value using the NCHS/CDC 1978 reference population. DHS has continued to release versions of all child anthropometric variables using NCHS/CDC 1978 reference populations, to preserve comparability with samples preceding the 2006 WHO MGRS release.

HWHEIGHT (HW3)  reports the child's length or height as measured by DHS personnel. See this variable and HWHTHOWMEAS (HW15) for specifics on child length/height measurement. The related variable KIDAGEMO (HW1) reports the child's age in months at the time of measurement.</txt>
  <concept>
    <title>Child anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HWWAZWHO" name="C_HWWAZWHO" files="C" intrvl="discrete">
  <labl>Weight for age standard deviations from median (WHO)</labl>
  <imputation>Weight for age standard deviations from median (WHO)</imputation>
  <security>Weight for age standard deviations from median (WHO)</security>
  <embargo>Weight for age standard deviations from median (WHO)</embargo>
  <respUnit>Weight for age standard deviations from median (WHO)</respUnit>
  <catgry>
    <catValu>9995</catValu>
    <labl>Height out of plausible limits</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Age in days out of plausible limits</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children born in the three to five years before the survey, HWWAZWHO (HW71) reports the difference between the child's weight and the median weight of a reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score.  HWWAZWHO values are reported in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing HWWAZWHO by 100 will yield a child's weight-for-age Z-score (WAZ) value. 

Low child weight-for-age, or "underweight," is a composite indicator of acute and/or chronic malnutrition. The WHO Global Database on Child Growth and Malnutrition [URL omitted from DDI.] considers a weight-for-age Z-score (WAZ) between -2 and -3 to represent moderate malnutrition, and WAZ below -3 to represent severe malnutrition.

Reference populations used to generate HWWAZWHO draw from the WHO Multicenter Growth Reference Study (MGRS) [URL omitted from DDI.] released in 2006, which defined new standard anthropometry curves using a globally diverse reference population intended to reflect healthy growth conditions. For DHS samples that preceded WHO MGRS release, DHS retroactively calculated weight-for-age Z scores using WHO MGRS reference data. 

Prior to the WHO MGRS, DHS anthropometry reference populations drew from 1978 U.S. CDC National Center for Health Statistics (NCHS) international growth reference [URL omitted from DDI.] data, which was the previous international standard reference. The DHS variable HWWAZNCHS (HW8) reports the child's weight-for-age Z-score value using the NCHS/CDC 1978 reference population. DHS has continued to release versions of all child anthropometric variables using NCHS/CDC 1978 reference populations, to preserve comparability with samples preceding the 2006 WHO MGRS release.

HWWEIGHT (HW2) reports the child's weight as measured by DHS personnel. KIDAGEMO (HW1) reports the child's age in months at the time of measurement.</txt>
  <concept>
    <title>Child anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HWWHZWHO" name="C_HWWHZWHO" files="C" intrvl="discrete">
  <labl>Weight for height standard deviations from median (WHO)</labl>
  <imputation>Weight for height standard deviations from median (WHO)</imputation>
  <security>Weight for height standard deviations from median (WHO)</security>
  <embargo>Weight for height standard deviations from median (WHO)</embargo>
  <respUnit>Weight for height standard deviations from median (WHO)</respUnit>
  <catgry>
    <catValu>9995</catValu>
    <labl>Height out of plausible limits</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Age in days out of plausible limits</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children born in the three to five years before the survey, HWWHZWHO (HW72) reports the difference between the child's weight and the median weight of a reference population of the same height and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score.  HWWHZWHO values are reported in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing HWWHZWHO by 100 will yield a child's weight-for-height Z-score (WHZ) value. 

Low child weight-for-height, or "wasting," is an indicator of acute malnutrition. The WHO Global Database on Child Growth and Malnutrition [URL omitted from DDI.] considers a weight-for-height Z-score (WHZ) between -2 and -3 to represent moderate acute malnutrition, and WHZ below -3 to represent severe acute malnutrition.

Reference populations used to generate HWWHZWHO draw from the WHO Multicenter Growth Reference Study (MGRS) [URL omitted from DDI.] released in 2006, which defined new standard anthropometry curves using a globally diverse reference population intended to reflect healthy growth conditions. For DHS samples that preceded WHO MGRS release, DHS retroactively calculated weight-for-height Z scores using WHO MGRS reference data. 

Prior to the WHO MGRS, DHS anthropometry reference populations drew from 1978 U.S. CDC National Center for Health Statistics (NCHS) international growth reference [URL omitted from DDI.] data, which was the previous international standard reference. The DHS variable HWWHZNCHS (H11) reports the child's weight-for-height Z-score value using the NCHS/CDC 1978 reference population. DHS has continued to release versions of all child anthropometric variables using NCHS/CDC 1978 reference populations, to preserve comparability with samples preceding the 2006 WHO MGRS release.

HWWEIGHT (HW2) reports  the child's weight in kilograms as measured by DHS personnel.  HWHEIGHT (HW3) reports the child's length or height in centimeters as measured by DHS personnel. See HWHEIGHT and HWHTHOWMEAS (HW15) for specifics on child length/height measurement.</txt>
  <concept>
    <title>Child anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HWBMIZWHO" name="C_HWBMIZWHO" files="C" intrvl="discrete">
  <labl>Body Mass Index standard deviations (WHO)</labl>
  <imputation>Body Mass Index standard deviations (WHO)</imputation>
  <security>Body Mass Index standard deviations (WHO)</security>
  <embargo>Body Mass Index standard deviations (WHO)</embargo>
  <respUnit>Body Mass Index standard deviations (WHO)</respUnit>
  <catgry>
    <catValu>9995</catValu>
    <labl>Height out of plausible limits</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Age in days out of plausible limits</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Flagged cases</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children born in the three to five years before the survey, HWBMIZWHO (HW73) reports the difference between the child's body mass index (BMI) and the median BMI of a reference population of the same age and sex, expressed in units equal to one standard deviation of the reference population's distribution. An anthropometry measure expressed in reference standard deviation units is also known as a Z-score.  HWBMIZWHO values are reported in units equal to 100 times the Z-score, to preserve two decimal places without requiring the use of a decimal point. Dividing HWBMIZWHO by 100 will yield a child's BMI-for-age Z-score (BMIZ) value. 

BMI is an anthropometric measure relating weight to height, equal to body weight (kilograms) divided by height (meters) squared. Considered in relation to a reference population, child BMI-for-age is valuable for assessing either underweight or overweight status, and particularly useful in settings where child malnutrition and child obesity coexist. 

Reference populations used to generate HWBMIZWHO draw from the WHO Multicenter Growth Reference Study (MGRS)  [URL omitted from DDI.] released in 2006, which defined new standard anthropometry curves using a globally diverse reference population intended to reflect healthy growth conditions. For DHS samples that preceded WHO MGRS release, DHS retroactively calculated BMI-for-age Z scores using WHO MGRS reference data. DHS does not calculate BMI-for-age measures using the reference populations that preceded WHO MGRS (the 1978 U.S. CDC National Center for Health Statistics International Growth Reference data).

The original height and weight values used to calculate BMI are also included in the DHS.  HWWEIGHT (HW2) reports the child's weight in kilograms as measured by DHS personnel; HWHEIGHT (HW3) reports the child's length or height in centimeters as measured by DHS personnel. See HWHEIGHT and HWHTHOWMEAS (HW15) for specifics on child length/height measurement. The related variable KIDAGEMO (HW1) reports the child's age in months at the time of measurement.</txt>
  <concept>
    <title>Child anthropometry Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ANCARE" name="C_ANCARE" files="C" intrvl="discrete">
  <labl>Received prenatal care</labl>
  <imputation>Received prenatal care</imputation>
  <security>Received prenatal care</security>
  <embargo>Received prenatal care</embargo>
  <respUnit>Received prenatal care</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ANCARE indicates whether the child's mother received any antenatal care while the child was in utero. This variable is the inverse of ANCARENONE (M2N).</txt>
  <concept>
    <title>Child antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ANCARD" name="C_ANCARD" files="C" intrvl="discrete">
  <labl>Antenatal card for this pregnancy</labl>
  <imputation>Antenatal card for this pregnancy</imputation>
  <security>Antenatal card for this pregnancy</security>
  <embargo>Antenatal card for this pregnancy</embargo>
  <respUnit>Antenatal card for this pregnancy</respUnit>
  <qstn>
    <qstnLit>406) Were you given an antenatal card or booklet for this pregnancy?

YES 1
NO 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, card seen</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, card not seen</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ANCARD (M12) indicates whether the child's mother received an antenatal card. Mothers who did not see anyone for antenatal care were assumed to have no antenatal card.</txt>
  <concept>
    <title>Child antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ANCAREDOC" name="C_ANCAREDOC" files="C" intrvl="discrete">
  <labl>Doctor gave prenatal care</labl>
  <imputation>Doctor gave prenatal care</imputation>
  <security>Doctor gave prenatal care</security>
  <embargo>Doctor gave prenatal care</embargo>
  <respUnit>Doctor gave prenatal care</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <txt>ANCAREDOC (M2A) indicates whether a doctor gave the child's mother antenatal care while the child was in utero.

Women could report more than one type of healthcare (or traditional) provider.</txt>
  <concept>
    <title>Child antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ANCARENURM" name="C_ANCARENURM" files="C" intrvl="discrete">
  <labl>Nurse/midwife gave prenatal care</labl>
  <imputation>Nurse/midwife gave prenatal care</imputation>
  <security>Nurse/midwife gave prenatal care</security>
  <embargo>Nurse/midwife gave prenatal care</embargo>
  <respUnit>Nurse/midwife gave prenatal care</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ANCARENURM (M2B) indicates whether a nurse or midwife (categories combined or not distinguished) gave the child's mother antenatal care while the child was in utero.

Some samples in the "ANCARE" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include separate categories for nurse and midwife that could be combined to create a more comprehensive response category in ANCARENURM. See Comparability for more information on the specific categories included in this variable by country.</txt>
  <concept>
    <title>Child antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ANCARETBA" name="C_ANCARETBA" files="C" intrvl="discrete">
  <labl>Traditional birth attendant gave prenatal care</labl>
  <imputation>Traditional birth attendant gave prenatal care</imputation>
  <security>Traditional birth attendant gave prenatal care</security>
  <embargo>Traditional birth attendant gave prenatal care</embargo>
  <respUnit>Traditional birth attendant gave prenatal care</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ANCARETBA (M2G) indicates whether a traditional birth attendant gave the child's mother antenatal care while the child was in utero. Wording for this response category varied across samples. See Comparability.

Women could report more than one type of healthcare (or traditional) provider.</txt>
  <concept>
    <title>Child antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ANCARETRBA" name="C_ANCARETRBA" files="C" intrvl="discrete">
  <labl>Trained traditional birth attendant gave prenatal care</labl>
  <imputation>Trained traditional birth attendant gave prenatal care</imputation>
  <security>Trained traditional birth attendant gave prenatal care</security>
  <embargo>Trained traditional birth attendant gave prenatal care</embargo>
  <respUnit>Trained traditional birth attendant gave prenatal care</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ANCARETRBA (M2F) indicates whether a trained (traditional) birth attendant gave the child's mother antenatal care while the child was in utero. Wording for this category varied across samples. See Comparability.

Women could report more than one type of healthcare (or traditional) provider.</txt>
  <concept>
    <title>Child antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ANCAREOTH" name="C_ANCAREOTH" files="C" intrvl="discrete">
  <labl>Other person gave prenatal care</labl>
  <imputation>Other person gave prenatal care</imputation>
  <security>Other person gave prenatal care</security>
  <embargo>Other person gave prenatal care</embargo>
  <respUnit>Other person gave prenatal care</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ANCAREOTH (M2K) indicates whether some other (unspecified) person gave the child's mother antenatal care while the child was in utero. The meaning of "other" must be interpreted relative to the specific categories included in a given sample. 

Women could report more than one type of healthcare (or traditional) provider.</txt>
  <concept>
    <title>Child antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ANCARENONE" name="C_ANCARENONE" files="C" intrvl="discrete">
  <labl>Received no prenatal care</labl>
  <imputation>Received no prenatal care</imputation>
  <security>Received no prenatal care</security>
  <embargo>Received no prenatal care</embargo>
  <respUnit>Received no prenatal care</respUnit>
  <qstn>
    <qstnLit>405) When you were pregnant with (NAME), did you see anyone for a consultation about this pregnancy?

IF YES: Whom did you see?

Anyone else?

RECORD ALL PERSONS SEEN.

HEALTH PROFESSIONAL

DOCTOR A
NURSE/MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
OTHER (SPECIFY): ___ E
NO ONE F (GO TO 409)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ANCARENONE (M2N) indicates whether the child's mother did not receive antenatal care while the child was in utero. The structure of the question varied across samples. See Comparability.</txt>
  <concept>
    <title>Child antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ANVISMO" name="C_ANVISMO" files="C" intrvl="discrete">
  <labl>Timing of first antenatal visit for this pregnancy: Months</labl>
  <imputation>Timing of first antenatal visit for this pregnancy: Months</imputation>
  <security>Timing of first antenatal visit for this pregnancy: Months</security>
  <embargo>Timing of first antenatal visit for this pregnancy: Months</embargo>
  <respUnit>Timing of first antenatal visit for this pregnancy: Months</respUnit>
  <qstn>
    <qstnLit>407) How many months pregnant were you when you first saw someone for a consultation concerning this pregnancy?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Less than 1 month pregnant</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1 month</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2 months</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3 months</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4 months</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5 months</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6 months</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7 months</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8 months</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9 months</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10 months</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11 months</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the three to five years before the survey, and whose mothers received antenatal care while the child was in utero (ANCARE), ANVISMO (M13) indicates the timing of the mother's first antenatal visit during that pregnancy, in months from the start of the pregnancy.</txt>
  <concept>
    <title>Child antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ANVISNO" name="C_ANVISNO" files="C" intrvl="discrete">
  <labl>Number of antenatal visits when child was in utero</labl>
  <imputation>Number of antenatal visits when child was in utero</imputation>
  <security>Number of antenatal visits when child was in utero</security>
  <embargo>Number of antenatal visits when child was in utero</embargo>
  <respUnit>Number of antenatal visits when child was in utero</respUnit>
  <qstn>
    <qstnLit>408) How many antenatal visits did you have during this pregnancy?

NUMBER: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>0 visits</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20 (or 20+)</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30 (or 30+)</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the three to five years before the survey, ANVISNO (M14) reports the number of antenatal visits the mother had while the child was in utero. Children whose mothers did not see anyone for antenatal care during the pregnancy are coded 0.

The related variable ANVISNOTOP20 supplies the same material with a consistently applied top-code of 20+ visits.</txt>
  <concept>
    <title>Child antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ANVISNOTOP20" name="C_ANVISNOTOP20" files="C" intrvl="discrete">
  <labl>Number of antenatal visits when child was in utero, topcoded at 20</labl>
  <imputation>Number of antenatal visits when child was in utero, topcoded at 20</imputation>
  <security>Number of antenatal visits when child was in utero, topcoded at 20</security>
  <embargo>Number of antenatal visits when child was in utero, topcoded at 20</embargo>
  <respUnit>Number of antenatal visits when child was in utero, topcoded at 20</respUnit>
  <qstn>
    <qstnLit>408) How many antenatal visits did you have during this pregnancy?

NUMBER: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>0 visits</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20+</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the three to five years before the survey, ANVISNOTOP20 reports the number of antenatal visits the mother had while the child was in utero, with values topcoded at 20+ visits. Children whose mothers did not see anyone for antenatal care during the pregnancy are coded 0.

The related variable ANVISNO supplies the same material without imposing a consistent topcode.</txt>
  <concept>
    <title>Child antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ANTETNUSNO" name="C_ANTETNUSNO" files="C" intrvl="discrete">
  <labl>Number of tetanus injections before birth</labl>
  <imputation>Number of tetanus injections before birth</imputation>
  <security>Number of tetanus injections before birth</security>
  <embargo>Number of tetanus injections before birth</embargo>
  <respUnit>Number of tetanus injections before birth</respUnit>
  <qstn>
    <qstnLit>410) How many times did you get this injection?

NUMBER: ___
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7+</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the three to five years before the survey, ANTETNUSNO (M1) indicates whether, and how many, tetanus (toxicoid) injections were given to the mother while the child was in utero, to avoid convulsions after birth.

For a similar variable that only reports whether a tetanus injection was received, see ANTETNUS.</txt>
  <concept>
    <title>Child antenatal care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BIRTHSZ" name="C_BIRTHSZ" files="C" intrvl="discrete">
  <labl>Size of child at birth (subjective report)</labl>
  <imputation>Size of child at birth (subjective report)</imputation>
  <security>Size of child at birth (subjective report)</security>
  <embargo>Size of child at birth (subjective report)</embargo>
  <respUnit>Size of child at birth (subjective report)</respUnit>
  <qstn>
    <qstnLit>415) When (NAME) was born, was he/she very large, larger than average, average, smaller than average, or very small?

VERY LARGE 1
LARGER THAN AVERAGE 2
AVERAGE 3
SMALLER THAN AVERAGE 4
VERY SMALL 5
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Larger than average</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Very large</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Larger than average</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Average</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Smaller than average</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Smaller than average</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Very small</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the last three to five years, BIRTHSZ (M18) indicates the size of the child at birth, reported subjectively by the mother.</txt>
  <concept>
    <title>Child delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BIRTHWT" name="C_BIRTHWT" files="C" intrvl="discrete">
  <labl>Birthweight in kilos</labl>
  <imputation>Birthweight in kilos</imputation>
  <security>Birthweight in kilos</security>
  <embargo>Birthweight in kilos</embargo>
  <respUnit>Birthweight in kilos</respUnit>
  <qstn>
    <qstnLit>417) How much did he/she weigh?

KILOGRAMS: ___
DON'T KNOW 9998</qstnLit>
  </qstn>
  <catgry>
    <catValu>9995</catValu>
    <labl>9995+</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Not weighed at birth</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the three to five years before the survey, BIRTHWT (M19) reports the child's birthweight in kilos with three implied decimal places (or, alternatively stated, in grams with no decimal places). Children who were not weighed are coded 9996.</txt>
  <concept>
    <title>Child delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PREMATBR" name="C_PREMATBR" files="C" intrvl="discrete">
  <labl>Child born prematurely or on time</labl>
  <imputation>Child born prematurely or on time</imputation>
  <security>Child born prematurely or on time</security>
  <embargo>Child born prematurely or on time</embargo>
  <respUnit>Child born prematurely or on time</respUnit>
  <qstn>
    <qstnLit>413) Was (NAME) born on time or prematurely?

ON TIME 1
PREMATURELY 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>On time</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Premature</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Less than 7 months</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>7 to 8 months</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Overdue</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>For children born in the three to five years preceding the survey, PREMATBR (M16) indicates whether the child was born on time or prematurely.</txt>
  <concept>
    <title>Child delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DELCESR" name="C_DELCESR" files="C" intrvl="discrete">
  <labl>Child delivered by caesarian section</labl>
  <imputation>Child delivered by caesarian section</imputation>
  <security>Child delivered by caesarian section</security>
  <embargo>Child delivered by caesarian section</embargo>
  <respUnit>Child delivered by caesarian section</respUnit>
  <qstn>
    <qstnLit>414) Was (NAME) delivered by caesarian section?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the three to five years preceding the survey, DELCESR (M17) indicates whether the child was born by caesarian section. Question wording varied somewhat across samples. See Comparability.</txt>
  <concept>
    <title>Child delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DELPL" name="C_DELPL" files="C" intrvl="discrete">
  <labl>Place child was delivered</labl>
  <imputation>Place child was delivered</imputation>
  <security>Place child was delivered</security>
  <embargo>Place child was delivered</embargo>
  <respUnit>Place child was delivered</respUnit>
  <qstn>
    <qstnLit>411) Where did you give birth to (NAME)?

HOME

YOUR HOME 11
OTHER HOME 12

PUBLIC SECTOR

HOSPITAL 21
MATERNITY WARD 22
DISPENSARY 23

PRIVATE SECTOR

PRIVATE HOSPITAL OR CLINIC 31

OTHER (SPECIFY): ___ 41</qstnLit>
  </qstn>
  <catgry>
    <catValu>1000</catValu>
    <labl>HOME</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Respondent's home</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Respondent's parents' home</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>Nurse/midwife's home</labl>
  </catgry>
  <catgry>
    <catValu>1400</catValu>
    <labl>TBA's home</labl>
  </catgry>
  <catgry>
    <catValu>1500</catValu>
    <labl>Community/village health worker's home</labl>
  </catgry>
  <catgry>
    <catValu>1900</catValu>
    <labl>Other home</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>PUBLIC SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Government hospital</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>National/central hospital</labl>
  </catgry>
  <catgry>
    <catValu>2130</catValu>
    <labl>Provincial/regional hospital</labl>
  </catgry>
  <catgry>
    <catValu>2140</catValu>
    <labl>Urban hospital</labl>
  </catgry>
  <catgry>
    <catValu>2150</catValu>
    <labl>District/rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>2151</catValu>
    <labl>District hospital</labl>
  </catgry>
  <catgry>
    <catValu>2152</catValu>
    <labl>Rural hospital</labl>
  </catgry>
  <catgry>
    <catValu>2160</catValu>
    <labl>University hospital</labl>
  </catgry>
  <catgry>
    <catValu>2170</catValu>
    <labl>Military hospital</labl>
  </catgry>
  <catgry>
    <catValu>2180</catValu>
    <labl>Day hospital</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Government health center</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Referral health center</labl>
  </catgry>
  <catgry>
    <catValu>2220</catValu>
    <labl>Community health center</labl>
  </catgry>
  <catgry>
    <catValu>2230</catValu>
    <labl>Urban health center</labl>
  </catgry>
  <catgry>
    <catValu>2240</catValu>
    <labl>Rural health center</labl>
  </catgry>
  <catgry>
    <catValu>2250</catValu>
    <labl>Integrated health center</labl>
  </catgry>
  <catgry>
    <catValu>2260</catValu>
    <labl>Family welfare center</labl>
  </catgry>
  <catgry>
    <catValu>2270</catValu>
    <labl>Primary health center</labl>
  </catgry>
  <catgry>
    <catValu>2280</catValu>
    <labl>Basic health center</labl>
  </catgry>
  <catgry>
    <catValu>2290</catValu>
    <labl>Sub-health center</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Government maternal and child health (MCH) center</labl>
  </catgry>
  <catgry>
    <catValu>2400</catValu>
    <labl>Government outreach</labl>
  </catgry>
  <catgry>
    <catValu>2410</catValu>
    <labl>Government health post</labl>
  </catgry>
  <catgry>
    <catValu>2411</catValu>
    <labl>Village health post</labl>
  </catgry>
  <catgry>
    <catValu>2412</catValu>
    <labl>Sub-health post</labl>
  </catgry>
  <catgry>
    <catValu>2413</catValu>
    <labl>Outreach clinic</labl>
  </catgry>
  <catgry>
    <catValu>2420</catValu>
    <labl>Government mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>2430</catValu>
    <labl>Government health worker</labl>
  </catgry>
  <catgry>
    <catValu>2431</catValu>
    <labl>Community based distribution (CBD)</labl>
  </catgry>
  <catgry>
    <catValu>2432</catValu>
    <labl>Field worker</labl>
  </catgry>
  <catgry>
    <catValu>2433</catValu>
    <labl>Community midwife</labl>
  </catgry>
  <catgry>
    <catValu>2500</catValu>
    <labl>Government dispensary</labl>
  </catgry>
  <catgry>
    <catValu>2600</catValu>
    <labl>Government family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>2900</catValu>
    <labl>Other public sector</labl>
  </catgry>
  <catgry>
    <catValu>2901</catValu>
    <labl>Health home</labl>
  </catgry>
  <catgry>
    <catValu>2902</catValu>
    <labl>Health station/clinic</labl>
  </catgry>
  <catgry>
    <catValu>2903</catValu>
    <labl>Health office</labl>
  </catgry>
  <catgry>
    <catValu>2904</catValu>
    <labl>Community clinic</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>PRIVATE MEDICAL SECTOR</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Private hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Private hospital</labl>
  </catgry>
  <catgry>
    <catValu>3111</catValu>
    <labl>Referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>3112</catValu>
    <labl>District hospital</labl>
  </catgry>
  <catgry>
    <catValu>3113</catValu>
    <labl>Medical college hospital</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Private clinic</labl>
  </catgry>
  <catgry>
    <catValu>3121</catValu>
    <labl>Clinic</labl>
  </catgry>
  <catgry>
    <catValu>3122</catValu>
    <labl>Polyclinic</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>Private doctor</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Private health center</labl>
  </catgry>
  <catgry>
    <catValu>3400</catValu>
    <labl>Private nursing/maternity home</labl>
  </catgry>
  <catgry>
    <catValu>3500</catValu>
    <labl>Private outreach</labl>
  </catgry>
  <catgry>
    <catValu>3510</catValu>
    <labl>Private mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>3520</catValu>
    <labl>Private health worker</labl>
  </catgry>
  <catgry>
    <catValu>3521</catValu>
    <labl>Nurse</labl>
  </catgry>
  <catgry>
    <catValu>3530</catValu>
    <labl>Private health post</labl>
  </catgry>
  <catgry>
    <catValu>3600</catValu>
    <labl>Private family planning clinic</labl>
  </catgry>
  <catgry>
    <catValu>3700</catValu>
    <labl>Private pharmacy/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>3900</catValu>
    <labl>Other private medical sector</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>NGO FACILITY</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>NGO health facility</labl>
  </catgry>
  <catgry>
    <catValu>4110</catValu>
    <labl>Static clinic</labl>
  </catgry>
  <catgry>
    <catValu>4120</catValu>
    <labl>Red Cross facility</labl>
  </catgry>
  <catgry>
    <catValu>4130</catValu>
    <labl>Marie Stopes</labl>
  </catgry>
  <catgry>
    <catValu>4140</catValu>
    <labl>Refugee/NGO hospital</labl>
  </catgry>
  <catgry>
    <catValu>4200</catValu>
    <labl>Country-specific NGOs</labl>
  </catgry>
  <catgry>
    <catValu>4201</catValu>
    <labl>BLM</labl>
  </catgry>
  <catgry>
    <catValu>4202</catValu>
    <labl>CSI</labl>
  </catgry>
  <catgry>
    <catValu>4203</catValu>
    <labl>Egyptian family planning association (EFPA)</labl>
  </catgry>
  <catgry>
    <catValu>4900</catValu>
    <labl>Other NGO</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>RELIGIOUS/MISSION</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Religious hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>5110</catValu>
    <labl>Religious hospital</labl>
  </catgry>
  <catgry>
    <catValu>5111</catValu>
    <labl>Religious referral/specialty hospital</labl>
  </catgry>
  <catgry>
    <catValu>5112</catValu>
    <labl>Religious district hospital</labl>
  </catgry>
  <catgry>
    <catValu>5120</catValu>
    <labl>Religious clinic</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Religious health center/dispensary</labl>
  </catgry>
  <catgry>
    <catValu>5210</catValu>
    <labl>Religious health center</labl>
  </catgry>
  <catgry>
    <catValu>5220</catValu>
    <labl>Religious dispensary</labl>
  </catgry>
  <catgry>
    <catValu>5300</catValu>
    <labl>Religious health post</labl>
  </catgry>
  <catgry>
    <catValu>5900</catValu>
    <labl>Other religious/mission</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>6100</catValu>
    <labl>En route to provider</labl>
  </catgry>
  <catgry>
    <catValu>6200</catValu>
    <labl>Outside</labl>
  </catgry>
  <catgry>
    <catValu>6300</catValu>
    <labl>Abroad</labl>
  </catgry>
  <catgry>
    <catValu>9995</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the three to five years before the survey, DELPL (M15) reports where the child was delivered.  Response categories vary across samples.  See Comparability.</txt>
  <concept>
    <title>Child delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DELDOC" name="C_DELDOC" files="C" intrvl="discrete">
  <labl>Doctor gave delivery care</labl>
  <imputation>Doctor gave delivery care</imputation>
  <security>Doctor gave delivery care</security>
  <embargo>Doctor gave delivery care</embargo>
  <respUnit>Doctor gave delivery care</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the three to five years preceding the survey, DELDOC (M3A) indicates whether a doctor assisted with the child's delivery.

Women could report more than one type of healthcare (or traditional) provider.</txt>
  <concept>
    <title>Child delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DELNURM" name="C_DELNURM" files="C" intrvl="discrete">
  <labl>Nurse/midwife gave delivery care</labl>
  <imputation>Nurse/midwife gave delivery care</imputation>
  <security>Nurse/midwife gave delivery care</security>
  <embargo>Nurse/midwife gave delivery care</embargo>
  <respUnit>Nurse/midwife gave delivery care</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>For children born in the three to five years preceding the survey, DELNURM (M3B) indicates whether a nurse or midwife (categories combined or not distinguished) assisted with the child's delivery.

Some samples in the "DEL" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as DELNURM, while preserving the separate responses in country-specific variables.

For example, a given sample might include separate categories for nurse and midwife that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories in this variable.</txt>
  <concept>
    <title>Child delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DELTBA" name="C_DELTBA" files="C" intrvl="discrete">
  <labl>Traditional birth attendant gave delivery care</labl>
  <imputation>Traditional birth attendant gave delivery care</imputation>
  <security>Traditional birth attendant gave delivery care</security>
  <embargo>Traditional birth attendant gave delivery care</embargo>
  <respUnit>Traditional birth attendant gave delivery care</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the three to five years preceding the survey, DELTBA (M3G) indicates whether a traditional birth attendant assisted with the child's delivery. Wording for this response category varied across samples. See Comparability.

Women could report more than one type of healthcare (or traditional) provider.</txt>
  <concept>
    <title>Child delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DELTRBA" name="C_DELTRBA" files="C" intrvl="discrete">
  <labl>Trained traditional birth attendant gave delivery care</labl>
  <imputation>Trained traditional birth attendant gave delivery care</imputation>
  <security>Trained traditional birth attendant gave delivery care</security>
  <embargo>Trained traditional birth attendant gave delivery care</embargo>
  <respUnit>Trained traditional birth attendant gave delivery care</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the three to five years preceding the survey, DELTRBA (M3F) indicates whether a trained (traditional) birth attendant assisted with the child's delivery. Wording for this category varied across samples. See Comparability.

Women could report more than one type of healthcare (or traditional) provider.</txt>
  <concept>
    <title>Child delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DELREL" name="C_DELREL" files="C" intrvl="discrete">
  <labl>Relative gave delivery care</labl>
  <imputation>Relative gave delivery care</imputation>
  <security>Relative gave delivery care</security>
  <embargo>Relative gave delivery care</embargo>
  <respUnit>Relative gave delivery care</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the three to five years preceding the survey, DELREL (M3H) indicates whether a relative assisted with the child's delivery. 

Women could report more than one type of healthcare (or traditional) provider.</txt>
  <concept>
    <title>Child delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DELOTH" name="C_DELOTH" files="C" intrvl="discrete">
  <labl>Other person gave delivery care</labl>
  <imputation>Other person gave delivery care</imputation>
  <security>Other person gave delivery care</security>
  <embargo>Other person gave delivery care</embargo>
  <respUnit>Other person gave delivery care</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>For children born in the three to five years preceding the survey, DELOTH (M3K) indicates whether some other person assisted with the child's delivery. The meaning of "other" must be interpreted relative to the specific categories included in a given sample. 

Women could report more than one type of healthcare (or traditional) provider.</txt>
  <concept>
    <title>Child delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DELNONE" name="C_DELNONE" files="C" intrvl="discrete">
  <labl>No one gave delivery care</labl>
  <imputation>No one gave delivery care</imputation>
  <security>No one gave delivery care</security>
  <embargo>No one gave delivery care</embargo>
  <respUnit>No one gave delivery care</respUnit>
  <qstn>
    <qstnLit>412) Who assisted you in the delivery of (NAME)?

Anyone else?

PROBE FOR THE TYPE OF PERSON AND RECORD ALL PERSONS MENTIONED

HEALTH PROFESSIONAL

DOCTOR A
NURSE/ MIDWIFE B

OTHER PERSON

MIDWIFE C
TRADITIONAL BIRTH ATTENDANT D
RELATIVE E

OTHER (SPECIFY): ___ F
NO ONE G</qstnLit>
  </qstn>
  <catgry>
    <labl>No, received care</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes, received no care</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the three to five years preceding the survey, DELNONE (M3N) indicates whether no one assisted with the child's delivery.</txt>
  <concept>
    <title>Child delivery care, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PPABMO" name="C_PPABMO" files="C" intrvl="discrete">
  <labl>Duration of mother's postpartum abstinence</labl>
  <imputation>Duration of mother's postpartum abstinence</imputation>
  <security>Duration of mother's postpartum abstinence</security>
  <embargo>Duration of mother's postpartum abstinence</embargo>
  <respUnit>Duration of mother's postpartum abstinence</respUnit>
  <qstn>
    <qstnLit>423) For how many months after the birth of (NAME) did you not have sexual relations?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>93</catValu>
    <labl>Sex res/no duration</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Still abstaining</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the three to five years before the survey, PPABMO (M8) indicates the duration, in months, of the mother's postpartum abstinence after the child was born.  Children with mothers who were still abstaining at the time of interview were excluded from PPABMO, but they are included in the similar variable PPABMOC (M9). 

According to the DHS Recode Manuals, the maximum period allowed during the data editing was the interval between the date of birth of the child and the date of conception of the following child (with date of birth minus nine months used for the date of conception) or until the date of interview if there was no following birth. Cases exceeding this duration were left with the original response, but are coded with one of the flag codes on PPABFLAG (M29) and are coded as "Inconsistent" on PPABMOC.</txt>
  <concept>
    <title>Child health postpartum Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PPABMOC" name="C_PPABMOC" files="C" intrvl="discrete">
  <labl>Months of mother's postpartum abstinence (including women still abstaining)</labl>
  <imputation>Months of mother's postpartum abstinence (including women still abstaining)</imputation>
  <security>Months of mother's postpartum abstinence (including women still abstaining)</security>
  <embargo>Months of mother's postpartum abstinence (including women still abstaining)</embargo>
  <respUnit>Months of mother's postpartum abstinence (including women still abstaining)</respUnit>
  <qstn>
    <qstnLit>423) For how many months after the birth of (NAME) did you not have sexual relations?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the three to five years preceding the survey, PPABMOC (M9) reports the calculated months of the child's mother's postpartum abstinence, including the duration for mothers who were still abstaining at the time of the interview.  The similar variable PPABMO also reports the calculated months of postpartum abstinence but excludes women who were still abstaining when interviewed.

According to the DHS Recode Manuals, the maximum period allowed during the data editing was the interval between the date of birth of the child and the date of conception of the following child (with date of birth minus nine months used for the date of conception) or until the date of interview if there was no following birth. Cases exceeding this duration are coded with one of the flag codes on PPABFLAG and are coded as "Inconsistent" in PPABMOC.</txt>
  <concept>
    <title>Child health postpartum Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PPABFLAG" name="C_PPABFLAG" files="C" intrvl="discrete">
  <labl>Flag variable for mother's postpartum abstinence</labl>
  <imputation>Flag variable for mother's postpartum abstinence</imputation>
  <security>Flag variable for mother's postpartum abstinence</security>
  <embargo>Flag variable for mother's postpartum abstinence</embargo>
  <respUnit>Flag variable for mother's postpartum abstinence</respUnit>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Greater than interval between birth and succeeding birth</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Greater than interval between birth and date of interview by only 1 month</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>During pregnancy in calendar</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>PPABFLAG (M29) is a flag variable reporting the type of problem found when editing responses about the duration of mother's postpartum abstinence (in PPABMO), for mothers who had resumed sexual relations after the child was born (in the last three to five years).  A code of 0 indicates no problem with the original response.</txt>
  <concept>
    <title>Child health postpartum Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PPAMHMO" name="C_PPAMHMO" files="C" intrvl="discrete">
  <labl>Duration of mother's postpartum amenorrhea in months</labl>
  <imputation>Duration of mother's postpartum amenorrhea in months</imputation>
  <security>Duration of mother's postpartum amenorrhea in months</security>
  <embargo>Duration of mother's postpartum amenorrhea in months</embargo>
  <respUnit>Duration of mother's postpartum amenorrhea in months</respUnit>
  <qstn>
    <qstnLit>420) For how many months after the birth of (NAME) did you not have a period?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>93</catValu>
    <labl>Pd. ret /no duration</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>Period not returned</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <txt>For children born in the three to five years before the survey, PPAMHMO (M6) reports the duration, in months, of the mother's postpartum amenorrhea after delivery of the child. Children whose mothers' periods had not returned at the time of interview were excluded from PPAMHMO, but children whose mothers were still amenorrheic were included in calculations for the similar variable PPAMHMOC (M7).  

The maximum period allowed during the data editing (by the survey administrators) was the interval between the date of birth of the child and the date of conception of the following child (with birth date minus nine months used for the date of conception) or the date of interview if there was no following birth.</txt>
  <concept>
    <title>Child health postpartum Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PPAMHMOC" name="C_PPAMHMOC" files="C" intrvl="discrete">
  <labl>Months of mother's postpartum amenorrhea (including women still amenorrheic)</labl>
  <imputation>Months of mother's postpartum amenorrhea (including women still amenorrheic)</imputation>
  <security>Months of mother's postpartum amenorrhea (including women still amenorrheic)</security>
  <embargo>Months of mother's postpartum amenorrhea (including women still amenorrheic)</embargo>
  <respUnit>Months of mother's postpartum amenorrhea (including women still amenorrheic)</respUnit>
  <qstn>
    <qstnLit>420) For how many months after the birth of (NAME) did you not have a period?

MONTHS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>PPAMHMOC (M9) reports the duration, in months, of mother's postpartum amenorrhea after the birth of the child, for children born in the three to five years preceding the survey. Mothers whose period had not returned before the following birth or prior to the interview were included in PPAMHMOC.  By contrast, only children of women whose menses had resumed were included in the similar variable PPAMHMO. 

The maximum period allowed during the data editing (by the survey administrators) was the interval between the date of birth of the child and the date of conception of the mother's following child (with birth date minus nine months used for the date of conception) or the date of interview if there was no following birth. 

For DHS Phase II forward, inconsistent durations based on the original reporting of the duration of amenorrhea were recoded to "Inconsistent" (code "96" in IPUMS-DHS). In cases where the duration was one month longer than the interval, the duration was shortened by one month, consistent with Phase I.  For Model "A" countries in Phase II only, if the duration of mother's postpartum amenorrhea extended into her pregnancy in the calendar, the duration was shortened to the start of the following pregnancy.</txt>
  <concept>
    <title>Child health postpartum Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PPAMFLAG" name="C_PPAMFLAG" files="C" intrvl="discrete">
  <labl>Flag variable for mother's postpartum amenorrhea</labl>
  <imputation>Flag variable for mother's postpartum amenorrhea</imputation>
  <security>Flag variable for mother's postpartum amenorrhea</security>
  <embargo>Flag variable for mother's postpartum amenorrhea</embargo>
  <respUnit>Flag variable for mother's postpartum amenorrhea</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Greater than interval between birth and succeeding birth</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Greater than interval between birth and date of interview by only 1 month</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>During pregnancy in calendar</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>PPAMFLAG (M28) reports the type of problem, if any, found in editing data on the duration of the child's mother's postpartum amenorrhea, for children born in the three to five years before the survey. Cases with no known problem are coded 0.  

For discussion of the editing rules implemented (by the survey administrators) for data on postpartum amenorrhea, see PPAMHMO and PPAMHMOC,</txt>
  <concept>
    <title>Child health postpartum Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BRSFEDUR" name="C_BRSFEDUR" files="C" intrvl="discrete">
  <labl>Duration of breastfeeding in months</labl>
  <imputation>Duration of breastfeeding in months</imputation>
  <security>Duration of breastfeeding in months</security>
  <embargo>Duration of breastfeeding in months</embargo>
  <respUnit>Duration of breastfeeding in months</respUnit>
  <qstn>
    <qstnLit>433) For how many months did you breastfeed (NAME)?

MONTHS: ___
UNTIL DIED 95 (GO TO 436)</qstnLit>
  </qstn>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>Breastfed until died</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>Ever breastfed, not currently breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>Not asked (child died)</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>Never breastfed</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Still breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>For children born in the three to five years preceding the survey, BRSFEDUR (M4) reports the calculated months of breastfeeding for those who are no longer being breastfed. 

The related variable BRSFEDMO (M5) differs by including children who were still breastfeeding at the time of the interview. The variable BRSFEDCAT provides categorical information about breastfeeding, by indicating whether children were ever breastfed, and, if so, whether they are still breastfeeding. 

The maximum period allowed for BRSFEDUR during the data editing (by survey administrators) was the interval between the date of birth of the child and the date of interview. See the "Comparability" tab for more information regarding comparability across phases.</txt>
  <concept>
    <title>Child's breastfeeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BRSFEDMO" name="C_BRSFEDMO" files="C" intrvl="discrete">
  <labl>Duration of breastfeeding in months (including still breastfed)</labl>
  <imputation>Duration of breastfeeding in months (including still breastfed)</imputation>
  <security>Duration of breastfeeding in months (including still breastfed)</security>
  <embargo>Duration of breastfeeding in months (including still breastfed)</embargo>
  <respUnit>Duration of breastfeeding in months (including still breastfed)</respUnit>
  <qstn>
    <qstnLit>433) For how many months did you breastfeed (NAME)?

MONTHS: ___
UNTIL DIED 95 (GO TO 436)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>0 months</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>Ever breastfed, not currently breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>Missing: Not asked (child died)</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>Never breastfed</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the three to five years before the survey, BRSFEDMO (M5) reports the calculated months of breastfeeding, including cases where 1) the child's mother was still breastfeeding at the time of the interview or 2) the child had been breastfed until his or her death. Cases in these two categories were excluded from the related variable BRSFEDUR on the duration of breastfeeding.

For DHS Phase II forward, inconsistent durations based on the original report of the duration of breastfeeding were coded as "Inconsistent." In cases where the reported duration was one month longer than the relevant interval, the duration was shortened by one month.  If the duration of breastfeeding exceeded the child's age at death, the duration of breastfeeding was changed to the child's age at death.</txt>
  <concept>
    <title>Child's breastfeeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BRSFDFLAG" name="C_BRSFDFLAG" files="C" intrvl="discrete">
  <labl>Flag for breastfeeding, problem with duration</labl>
  <imputation>Flag for breastfeeding, problem with duration</imputation>
  <security>Flag for breastfeeding, problem with duration</security>
  <embargo>Flag for breastfeeding, problem with duration</embargo>
  <respUnit>Flag for breastfeeding, problem with duration</respUnit>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <labl>No flag</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Greater than interval between birth and date of interview</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Greater than interval between birth and date of interview by only 1 month</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Greater than interval between birth and age at death</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>During pregnancy in calendar</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>For children born in the three to five years preceding the survey, BRSFDFLAG (M27) is a flag variable that indicates the type of problem, if any, found in editing responses on their duration of breastfeeding. Cases without a problem are coded 0.

For duration of breastfeeding, see BRSFEDUR (M4).</txt>
  <concept>
    <title>Child's breastfeeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BRSFEDST" name="C_BRSFEDST" files="C" intrvl="discrete">
  <labl>Time from birth until child first breastfed</labl>
  <imputation>Time from birth until child first breastfed</imputation>
  <security>Time from birth until child first breastfed</security>
  <embargo>Time from birth until child first breastfed</embargo>
  <respUnit>Time from birth until child first breastfed</respUnit>
  <qstn>
    <qstnLit>426) FOR MOST RECENT BIRTH: How long after birth did you first put (NAME) to the breast?

IF LESS THAN 1 HOUR, RECORD '00' HOURS.
IF LESS THAN 24 HOURS, RECORD HOURS.
OTHERWISE, RECORD DAYS.

IMMEDIATELY 000
HOURS: ___ 1
DAYS: ___ 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
    <labl>Immediately</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>Within 1 hour</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>1 hour</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>2 hours</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>3 hours</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>4 hours</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>5 hours</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>6 hours</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>7 hours</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>8 hours</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>9 hours</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>10 hours</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>11 hours</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>12 hours</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>13 hours</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>14 hours</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>15 hours</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>16 hours</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>17 hours</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>18 hours</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>19 hours</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>20 hours</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>21 hours</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>22 hours</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>23 hours</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>24 hours</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>25 hours</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>26 hours</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>27 hours</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>28 hours</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>29 hours</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>30 hours</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>31 hours</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>32 hours</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>33 hours</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>34 hours</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>35 hours</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>36 hours</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>37 hours</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>38 hours</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>39 hours</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>40 hours</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>41 hours</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>42 hours</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>43 hours</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>44 hours</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>45 hours</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>46 hours</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>47 hours</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>48 hours</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>49 hours</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>50 hours</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>60 hours</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>70 hours</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>80 hours</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>90 hours</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Same day</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>1 day</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>2 days</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>3 days</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>4 days</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>5 days</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>6 days</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>7 days</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>8 days</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>9 days</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>10 days</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>11 days</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>12 days</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>13 days</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>14 days</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>15 days</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>16 days</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>17 days</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>18 days</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>19 days</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>20 days</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>21 days</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>22 days</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>23 days</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>24 days</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>25 days</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>26 days</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>27 days</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>28 days</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>29 days</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>30 days</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>31 days</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>32 days</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>33 days</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>34 days</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>35 days</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>36 days</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>37 days</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>38 days</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>39 days</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>40 days</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>41 days</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>42 days</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>43 days</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>44 days</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>45 days</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>46 days</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>47 days</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>48 days</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>49 days</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>50 days</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>51 days</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>52 days</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>53 days</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>54 days</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>55 days</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>56 days</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>57 days</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>58 days</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>59 days</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>60 days</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>61 days</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>62 days</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>63 days</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>64 days</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>65 days</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>66 days</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>67 days</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>68 days</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>69 days</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>70 days</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>71 days</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>72 days</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>73 days</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>74 days</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>75 days</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>76 days</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>77 days</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>78 days</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>79 days</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>80 days</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>81 days</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>82 days</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>83 days</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>84 days</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>85 days</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>86 days</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>87 days</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>88 days</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>89 days</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>90 days</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>91 days</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>92 days</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>93 days</labl>
  </catgry>
  <catgry>
    <catValu>294</catValu>
    <labl>94 days</labl>
  </catgry>
  <catgry>
    <catValu>295</catValu>
    <labl>95 days</labl>
  </catgry>
  <catgry>
    <catValu>296</catValu>
    <labl>96 days</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>97 days</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>98 days</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children who were ever breastfed, BRSFEDST (M34) reports the length of time between the child's birth and when the child was first breastfed. Following DHS convention, intervals reported in hours are coded with a "1" in the first digit, and intervals reported in days are coded with a "2" in the first digit.</txt>
  <concept>
    <title>Child's breastfeeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_WHYSTBRFD" name="C_WHYSTBRFD" files="C" intrvl="discrete">
  <labl>Reason mother stopped breastfeeding child</labl>
  <imputation>Reason mother stopped breastfeeding child</imputation>
  <security>Reason mother stopped breastfeeding child</security>
  <embargo>Reason mother stopped breastfeeding child</embargo>
  <respUnit>Reason mother stopped breastfeeding child</respUnit>
  <qstn>
    <qstnLit>434) Why did you stop breastfeeding (NAME)?

MOTHER ILL/WEAK 01
CHILD ILL/WEAK 02
CHILD DIED 03
BREAST/NIPPLE PROBLEM 04
INSUFFICIENT MILK 05
MOTHER WORKING 06
CHILD REFUSED 07
WEANING AGE 08
BECAME PREGNANT 09
STARTED USING CONTRACEPTION 10
OTHER (SPECIFY):___ 11</qstnLit>
  </qstn>
  <catgry>
    <catValu>15</catValu>
    <labl>Improve child health</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Insufficient milk</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Nipple, breast problem</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Child had diarrhea</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Health problem</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Mother ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Child ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Child died</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know if ever breastfed</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Breastmilk problem</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Mother busy</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Mother working</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Mother at school</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Inconvenient</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Child's attitude</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Child refused</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Child refused food</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Child preferred bottle</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Weaning age</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Reproductive/family planning reason</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Became pregnant</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>Started using method</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>Wanted to start method</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>Wanted another child</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>Other reason</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>Husband disapproved</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>Mother's figure concern</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Other</labl>
  </catgry>
  <txt>For children who were born in the three to five years preceding the survey and whose mothers had stopped breastfeeding them, WHYSTBRFD (M21) reports why the mother stopped breastfeeding. Children who were breastfed until they died are automatically coded 13 (Child died) as the reason for stopping breastfeeding.</txt>
  <concept>
    <title>Child's breastfeeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_WHYNOBRFD" name="C_WHYNOBRFD" files="C" intrvl="discrete">
  <labl>Reason child was not breastfed</labl>
  <imputation>Reason child was not breastfed</imputation>
  <security>Reason child was not breastfed</security>
  <embargo>Reason child was not breastfed</embargo>
  <respUnit>Reason child was not breastfed</respUnit>
  <qstn>
    <qstnLit>425) Why did you not breastfeed (NAME)?

MOTHER ILL/WEAK 01 (GO TO 435)
CHILD ILL/WEAK 02 (GO TO 435)
CHILD DIED 03 (GO TO 435)
BREAST/NIPPLE PROBLEM 04 (GO TO 435)
INSUFFICIENT MILK 05 (GO TO 435)
MOTHER WORKING 06 (GO TO 435)
CHILD REFUSED 07 (GO TO 435)
OTHER (SPECIFY): ___ 08 (GO TO 435)</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Health problem</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Mother ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Child ill or weak</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Child died</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Breastmilk problem</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Nipple, breast problem</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Insufficient milk</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Mother busy</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Mother working</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Inconvenient</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Child's attitude</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Child refused</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Child preferred bottle</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Reproductive/family planning reason</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Mother became pregnant</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Started using method</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Mother does not know how</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>Other reason</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>Child has grown</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>Mother's figure concern</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children who were born in the three to five years preceding the survey and were not breastfed, WHYNOBRFD (M20) reports why they were not breastfed.</txt>
  <concept>
    <title>Child's breastfeeding Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEDNOTBRSMILK" name="C_FEDNOTBRSMILK" files="C" intrvl="discrete">
  <labl>Child ever given anything other than breastmilk</labl>
  <imputation>Child ever given anything other than breastmilk</imputation>
  <security>Child ever given anything other than breastmilk</security>
  <embargo>Child ever given anything other than breastmilk</embargo>
  <respUnit>Child ever given anything other than breastmilk</respUnit>
  <qstn>
    <qstnLit>436) Was (NAME) ever given water or anything else to drink or eat other than breast milk?

YES 1
NO 2 (GO TO 440)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the 3 to 5 years before the survey, FEDNOTBRSMILK (M22) indicates whether the child was ever given water or anything else to eat or drink other than breastmilk. Living children who are no longer breastfeeding are assumed to have been given food other than breastmilk.</txt>
  <concept>
    <title>Child feeding, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_AGEFORM" name="C_AGEFORM" files="C" intrvl="discrete">
  <labl>Age (in months) for formula or other milk</labl>
  <imputation>Age (in months) for formula or other milk</imputation>
  <security>Age (in months) for formula or other milk</security>
  <embargo>Age (in months) for formula or other milk</embargo>
  <respUnit>Age (in months) for formula or other milk</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>less than one month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>AGEFORM (M23) reports the age, in months, at which the child was first given baby formula or kinds of milk other than breast milk on a regular basis.</txt>
  <concept>
    <title>Child feeding, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_AGEWATER" name="C_AGEWATER" files="C" intrvl="discrete">
  <labl>Age (in months) for plain water</labl>
  <imputation>Age (in months) for plain water</imputation>
  <security>Age (in months) for plain water</security>
  <embargo>Age (in months) for plain water</embargo>
  <respUnit>Age (in months) for plain water</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
    <labl>less than one month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given this food</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>AGEWATER (M24) reports the age, in months, at which the child was first given water on a regular basis.</txt>
  <concept>
    <title>Child feeding, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_AGEOTHLIQ" name="C_AGEOTHLIQ" files="C" intrvl="discrete">
  <labl>Age (in months) for other liquids</labl>
  <imputation>Age (in months) for other liquids</imputation>
  <security>Age (in months) for other liquids</security>
  <embargo>Age (in months) for other liquids</embargo>
  <respUnit>Age (in months) for other liquids</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>less than 1 month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given this food</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>AGEOTHLIQ (M25) reports the age, in months, at which the child was first given some other liquid on a regular basis. "Other" must be interpreted relative to the specific liquids and foods mentioned in a particular sample.</txt>
  <concept>
    <title>Child feeding, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_AGESOLID" name="C_AGESOLID" files="C" intrvl="discrete">
  <labl>Age (in months) for solid or mushy food</labl>
  <imputation>Age (in months) for solid or mushy food</imputation>
  <security>Age (in months) for solid or mushy food</security>
  <embargo>Age (in months) for solid or mushy food</embargo>
  <respUnit>Age (in months) for solid or mushy food</respUnit>
  <qstn>
    <qstnLit>437) How many months old was (NAME) when you started giving the following foods or drinks on a regular basis?

IF LESS THAN 1 MONTH, RECORD '00'.

Tinned milk or milk other than breast milk?

AGE IN MONTHS: ___
NOT GIVEN 96

Water or other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Herbal tea?

AGE IN MONTHS: ___
NOT GIVEN 96

Other liquids?

AGE IN MONTHS: ___
NOT GIVEN 96

Mushy or solid food?

AGE IN MONTHS: ___
NOT GIVEN 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>less than one month</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Not given this food</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>AGESOLID (M26) reports the age, in months, at which the child was first given solid or mushy food on a regular basis.</txt>
  <concept>
    <title>Child feeding, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEDWATER24H" name="C_FEDWATER24H" files="C" intrvl="discrete">
  <labl>Child fed plain water in past 24 hours</labl>
  <imputation>Child fed plain water in past 24 hours</imputation>
  <security>Child fed plain water in past 24 hours</security>
  <embargo>Child fed plain water in past 24 hours</embargo>
  <respUnit>Child fed plain water in past 24 hours</respUnit>
  <qstn>
    <qstnLit>431) FOR MOST RECENT BIRTH: At any time yesterday or last night did you give (NAME) one of the following things:

Plain water?
Sugar water?
Juice?
Herbal tea?
Tinned baby formula?
Other tinned or powdered milk?
Fresh (animal) milk?
Other liquids?
Porridge?
Other food specially made for the child?
Family meal?

WATER

YES 1
NO 2

SUGAR WATER

YES 1
NO 2

JUICE

YES 1
NO 2

HERBAL TEA

YES 1
NO 2

TINNED BABY FORMULA

YES 1
NO 2

POWDERED/TINNED MILK

YES 1
NO 2

FRESH MILK

YES 1
NO 2

OTHER LIQUIDS

YES 1
NO 2

PORRIDGE

YES 1
NO 2

OTHER FOOD MADE FOR THE CHILD

YES 1
NO 2

FAMILY MEAL

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FEDWATER24H (M37A) indicates whether the child drank plain water during the previous day, either at night or during the daytime. This variable is a characteristic of the child.

The related variable MAFEDWATER24H (V409) indicates whether the child's mother gave her youngest surviving child water during the previous day.

The related variable FEDWATER24HX reports the number of times the child drank plain water in the previous 24 hours. FEDWATERWKD (M40A) reports the number of days the child drank plain water during the past week.</txt>
  <concept>
    <title>Foods fed child in past 24 hours Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEDSUGWAT24H" name="C_FEDSUGWAT24H" files="C" intrvl="discrete">
  <labl>Child fed sugar water in past 24 hours</labl>
  <imputation>Child fed sugar water in past 24 hours</imputation>
  <security>Child fed sugar water in past 24 hours</security>
  <embargo>Child fed sugar water in past 24 hours</embargo>
  <respUnit>Child fed sugar water in past 24 hours</respUnit>
  <qstn>
    <qstnLit>431) FOR MOST RECENT BIRTH: At any time yesterday or last night did you give (NAME) one of the following things:

Plain water?
Sugar water?
Juice?
Herbal tea?
Tinned baby formula?
Other tinned or powdered milk?
Fresh (animal) milk?
Other liquids?
Porridge?
Other food specially made for the child?
Family meal?

WATER

YES 1
NO 2

SUGAR WATER

YES 1
NO 2

JUICE

YES 1
NO 2

HERBAL TEA

YES 1
NO 2

TINNED BABY FORMULA

YES 1
NO 2

POWDERED/TINNED MILK

YES 1
NO 2

FRESH MILK

YES 1
NO 2

OTHER LIQUIDS

YES 1
NO 2

PORRIDGE

YES 1
NO 2

OTHER FOOD MADE FOR THE CHILD

YES 1
NO 2

FAMILY MEAL

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FEDSUGWAT24H (M37B) indicates whether the child drank sugar water during the previous day, either at night or during the daytime. This variable is a characteristic of the child.

The related variable MAFEDSUGWAT24H (V409A) indicates whether the child's mother gave her youngest surviving child sugar water during the previous day.

The related variable FEDSUGWAT24HX reports the number of times the child drank sugar water in the previous 24 hours. FEDSUGWATWKD (M40B) reports the number of days the child drank sugar water during the past week.</txt>
  <concept>
    <title>Foods fed child in past 24 hours Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEDJUICE24H" name="C_FEDJUICE24H" files="C" intrvl="discrete">
  <labl>Child fed juice in past 24 hours</labl>
  <imputation>Child fed juice in past 24 hours</imputation>
  <security>Child fed juice in past 24 hours</security>
  <embargo>Child fed juice in past 24 hours</embargo>
  <respUnit>Child fed juice in past 24 hours</respUnit>
  <qstn>
    <qstnLit>431) FOR MOST RECENT BIRTH: At any time yesterday or last night did you give (NAME) one of the following things:

Plain water?
Sugar water?
Juice?
Herbal tea?
Tinned baby formula?
Other tinned or powdered milk?
Fresh (animal) milk?
Other liquids?
Porridge?
Other food specially made for the child?
Family meal?

WATER

YES 1
NO 2

SUGAR WATER

YES 1
NO 2

JUICE

YES 1
NO 2

HERBAL TEA

YES 1
NO 2

TINNED BABY FORMULA

YES 1
NO 2

POWDERED/TINNED MILK

YES 1
NO 2

FRESH MILK

YES 1
NO 2

OTHER LIQUIDS

YES 1
NO 2

PORRIDGE

YES 1
NO 2

OTHER FOOD MADE FOR THE CHILD

YES 1
NO 2

FAMILY MEAL

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FEDJUICE24H (M37C) indicates whether the child drank juice during the previous day, either at night or during the daytime. This variable is a characteristic of the child.

The related variable MAFEDJUICE24H (V410) indicates whether the child's mother gave her youngest surviving child juice during the previous day.

The related variable FEDJUICE24HX reports the number of times the child drank juice in the previous 24 hours. FEDJUICEWKD (M40C) reports the number of days the child drank juice during the past week.</txt>
  <concept>
    <title>Foods fed child in past 24 hours Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEDTEA24H" name="C_FEDTEA24H" files="C" intrvl="discrete">
  <labl>Child fed herbal tea in past 24 hours</labl>
  <imputation>Child fed herbal tea in past 24 hours</imputation>
  <security>Child fed herbal tea in past 24 hours</security>
  <embargo>Child fed herbal tea in past 24 hours</embargo>
  <respUnit>Child fed herbal tea in past 24 hours</respUnit>
  <qstn>
    <qstnLit>431) FOR MOST RECENT BIRTH: At any time yesterday or last night did you give (NAME) one of the following things:

Plain water?
Sugar water?
Juice?
Herbal tea?
Tinned baby formula?
Other tinned or powdered milk?
Fresh (animal) milk?
Other liquids?
Porridge?
Other food specially made for the child?
Family meal?

WATER

YES 1
NO 2

SUGAR WATER

YES 1
NO 2

JUICE

YES 1
NO 2

HERBAL TEA

YES 1
NO 2

TINNED BABY FORMULA

YES 1
NO 2

POWDERED/TINNED MILK

YES 1
NO 2

FRESH MILK

YES 1
NO 2

OTHER LIQUIDS

YES 1
NO 2

PORRIDGE

YES 1
NO 2

OTHER FOOD MADE FOR THE CHILD

YES 1
NO 2

FAMILY MEAL

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FEDTEA24H (M37D) indicates whether the child drank herbal tea during the previous day, either at night or during the daytime. This variable is a characteristic of the child.

The related variable MAFEDTEA24H indicates whether the child's mother gave her youngest surviving child herbal tea during the previous day.

The related variable FEDTEA24HX reports the number of times the child drank herbal tea in the previous 24 hours. FEDTEAWKD (M40D) reports the number of days the child drank herbal tea during the past week.</txt>
  <concept>
    <title>Foods fed child in past 24 hours Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEDFORM24H" name="C_FEDFORM24H" files="C" intrvl="discrete">
  <labl>Child fed baby formula in past 24 hours</labl>
  <imputation>Child fed baby formula in past 24 hours</imputation>
  <security>Child fed baby formula in past 24 hours</security>
  <embargo>Child fed baby formula in past 24 hours</embargo>
  <respUnit>Child fed baby formula in past 24 hours</respUnit>
  <qstn>
    <qstnLit>431) FOR MOST RECENT BIRTH: At any time yesterday or last night did you give (NAME) one of the following things:

Plain water?
Sugar water?
Juice?
Herbal tea?
Tinned baby formula?
Other tinned or powdered milk?
Fresh (animal) milk?
Other liquids?
Porridge?
Other food specially made for the child?
Family meal?

WATER

YES 1
NO 2

SUGAR WATER

YES 1
NO 2

JUICE

YES 1
NO 2

HERBAL TEA

YES 1
NO 2

TINNED BABY FORMULA

YES 1
NO 2

POWDERED/TINNED MILK

YES 1
NO 2

FRESH MILK

YES 1
NO 2

OTHER LIQUIDS

YES 1
NO 2

PORRIDGE

YES 1
NO 2

OTHER FOOD MADE FOR THE CHILD

YES 1
NO 2

FAMILY MEAL

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FEDFORM24H (M37F) indicates whether the child drank infant formula during the previous day, either at night or during the daytime. This variable is a characteristic of the child.

The related variable MAFEDFORM24H (V411A) indicates whether the child's mother gave her youngest surviving child infant formula during the previous day.

The related variable FEDFORM24HX reports the number of times the child drank infant formula in the previous 24 hours. FEDFORMWKD (M40F) reports the number of days the child drank infant formula during the past week.</txt>
  <concept>
    <title>Foods fed child in past 24 hours Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEDFRMILK24H" name="C_FEDFRMILK24H" files="C" intrvl="discrete">
  <labl>Child fed fresh milk in past 24 hours</labl>
  <imputation>Child fed fresh milk in past 24 hours</imputation>
  <security>Child fed fresh milk in past 24 hours</security>
  <embargo>Child fed fresh milk in past 24 hours</embargo>
  <respUnit>Child fed fresh milk in past 24 hours</respUnit>
  <qstn>
    <qstnLit>431) FOR MOST RECENT BIRTH: At any time yesterday or last night did you give (NAME) one of the following things:

Plain water?
Sugar water?
Juice?
Herbal tea?
Tinned baby formula?
Other tinned or powdered milk?
Fresh (animal) milk?
Other liquids?
Porridge?
Other food specially made for the child?
Family meal?

WATER

YES 1
NO 2

SUGAR WATER

YES 1
NO 2

JUICE

YES 1
NO 2

HERBAL TEA

YES 1
NO 2

TINNED BABY FORMULA

YES 1
NO 2

POWDERED/TINNED MILK

YES 1
NO 2

FRESH MILK

YES 1
NO 2

OTHER LIQUIDS

YES 1
NO 2

PORRIDGE

YES 1
NO 2

OTHER FOOD MADE FOR THE CHILD

YES 1
NO 2

FAMILY MEAL

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FEDFRMILK24H (M37G) indicates whether the child drank fresh animal milk during the previous day, either at night or during the daytime. This variable is a characteristic of the child.

The complementary variable FEDTINMILK24H (M37E) indicates whether the child drank tinned or powdered milk during the previous day. The complementary variable FEDGENMILK24H indicates whether the child drank any milk, such as tinned, powdered, or fresh animal milk, during the previous day.

The related variable MAFEDFRMILK24H (V412) indicates whether the child's mother gave her youngest surviving child fresh animal milk during the previous day.

The related variable FEDFRMILK24HX reports the number of times the child drank fresh animal milk in the previous 24 hours. FEDFRMILKWKD (M40G) reports the number of days the child drank fresh animal milk during the past week.</txt>
  <concept>
    <title>Foods fed child in past 24 hours Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEDTINMILK24H" name="C_FEDTINMILK24H" files="C" intrvl="discrete">
  <labl>Child fed tinned or powdered milk in past 24 hours</labl>
  <imputation>Child fed tinned or powdered milk in past 24 hours</imputation>
  <security>Child fed tinned or powdered milk in past 24 hours</security>
  <embargo>Child fed tinned or powdered milk in past 24 hours</embargo>
  <respUnit>Child fed tinned or powdered milk in past 24 hours</respUnit>
  <qstn>
    <qstnLit>431) FOR MOST RECENT BIRTH: At any time yesterday or last night did you give (NAME) one of the following things:

Plain water?
Sugar water?
Juice?
Herbal tea?
Tinned baby formula?
Other tinned or powdered milk?
Fresh (animal) milk?
Other liquids?
Porridge?
Other food specially made for the child?
Family meal?

WATER

YES 1
NO 2

SUGAR WATER

YES 1
NO 2

JUICE

YES 1
NO 2

HERBAL TEA

YES 1
NO 2

TINNED BABY FORMULA

YES 1
NO 2

POWDERED/TINNED MILK

YES 1
NO 2

FRESH MILK

YES 1
NO 2

OTHER LIQUIDS

YES 1
NO 2

PORRIDGE

YES 1
NO 2

OTHER FOOD MADE FOR THE CHILD

YES 1
NO 2

FAMILY MEAL

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FEDTINMILK24H (M37E) indicates whether the child drank tinned or powdered milk during the previous day, either at night or during the daytime. This variable is a characteristic of the child.

The complementary variable FEDFRMILK24H (M37G) indicates whether the child drank fresh animal milk during the previous day. The complementary variable FEDGENMILK24H indicates whether the child drank any milk, such as tinned, powdered, or fresh animal milk, during the previous day.

The related variable MAFEDTINMILK24H indicates whether the child's mother gave her youngest surviving child tinned or powdered milk during the previous day.

The related variable FEDTINMILK24HX reports the number of times the child drank tinned or powdered milk in the previous 24 hours. FEDTINMILKWKD (M40E) reports the number of days the child drank tinned or powdered milk during the past week.</txt>
  <concept>
    <title>Foods fed child in past 24 hours Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEDOTHLIQ24H" name="C_FEDOTHLIQ24H" files="C" intrvl="discrete">
  <labl>Child fed other liquid in past 24 hours</labl>
  <imputation>Child fed other liquid in past 24 hours</imputation>
  <security>Child fed other liquid in past 24 hours</security>
  <embargo>Child fed other liquid in past 24 hours</embargo>
  <respUnit>Child fed other liquid in past 24 hours</respUnit>
  <qstn>
    <qstnLit>431) FOR MOST RECENT BIRTH: At any time yesterday or last night did you give (NAME) one of the following things:

Plain water?
Sugar water?
Juice?
Herbal tea?
Tinned baby formula?
Other tinned or powdered milk?
Fresh (animal) milk?
Other liquids?
Porridge?
Other food specially made for the child?
Family meal?

WATER

YES 1
NO 2

SUGAR WATER

YES 1
NO 2

JUICE

YES 1
NO 2

HERBAL TEA

YES 1
NO 2

TINNED BABY FORMULA

YES 1
NO 2

POWDERED/TINNED MILK

YES 1
NO 2

FRESH MILK

YES 1
NO 2

OTHER LIQUIDS

YES 1
NO 2

PORRIDGE

YES 1
NO 2

OTHER FOOD MADE FOR THE CHILD

YES 1
NO 2

FAMILY MEAL

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FEDOTHLIQ24H (M37L) indicates whether the child drank other liquids during the previous day, either at night or during the daytime. This variable is a characteristic of the child. The meaning of "other" must be interpreted relative to the specific categories included in a particular sample.

The related variable MAFEDOTHLIQ24H (V413) indicates whether the child's mother gave her youngest surviving child other liquids during the previous day.

The related variable FEDOTHLIQ24HX reports the number of times the child drank other liquids in the previous 24 hours. FEDOTHLIQWKD (M40L) reports the number of days the child drank other liquids during the past week.</txt>
  <concept>
    <title>Foods fed child in past 24 hours Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_MAFEDPORR24H" name="C_MAFEDPORR24H" files="C" intrvl="discrete">
  <labl>Mother fed youngest child porridge or gruel in past 24 hours</labl>
  <imputation>Mother fed youngest child porridge or gruel in past 24 hours</imputation>
  <security>Mother fed youngest child porridge or gruel in past 24 hours</security>
  <embargo>Mother fed youngest child porridge or gruel in past 24 hours</embargo>
  <respUnit>Mother fed youngest child porridge or gruel in past 24 hours</respUnit>
  <qstn>
    <qstnLit>431) FOR MOST RECENT BIRTH: At any time yesterday or last night did you give (NAME) one of the following things:

Plain water?
Sugar water?
Juice?
Herbal tea?
Tinned baby formula?
Other tinned or powdered milk?
Fresh (animal) milk?
Other liquids?
Porridge?
Other food specially made for the child?
Family meal?

WATER

YES 1
NO 2

SUGAR WATER

YES 1
NO 2

JUICE

YES 1
NO 2

HERBAL TEA

YES 1
NO 2

TINNED BABY FORMULA

YES 1
NO 2

POWDERED/TINNED MILK

YES 1
NO 2

FRESH MILK

YES 1
NO 2

OTHER LIQUIDS

YES 1
NO 2

PORRIDGE

YES 1
NO 2

OTHER FOOD MADE FOR THE CHILD

YES 1
NO 2

FAMILY MEAL

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>MAFEDPORR24H (V412B) indicates whether the child's mother gave her youngest surviving child porridge or gruel during the previous day, either at night or during the daytime. This variable describes a characteristic of the mother rather than the child.

Although the question wording asks about foods given to a specific child during the previous day, responses relate to the mother, so all young children of the mother are coded the same way. If the mother reported she gave her youngest surviving child porridge or gruel in the previous day, all of her children in the data are coded as "yes," including any children who have died or who live elsewhere. 

A positive response in MAFEDPORR24H thus does not necessarily indicate whether a particular child of the mother ate porridge or gruel during the previous day. IPUMS-DHS users should instead employ the variable FEDPORR24H to determine whether the child ate porridge or gruel during the previous day. See Comparability.

The related variable MAFEDPORR24HX reports the number of times the child's mother gave her youngest surviving child porridge or gruel during the previous 24 hours. MAFEDPORRWKD reports the number of days the child's mother gave her youngest surviving child porridge or gruel during the past week.</txt>
  <concept>
    <title>Foods fed child in past 24 hours Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEDFAMDISH24H" name="C_FEDFAMDISH24H" files="C" intrvl="discrete">
  <labl>Child fed family dish in past 24 hours</labl>
  <imputation>Child fed family dish in past 24 hours</imputation>
  <security>Child fed family dish in past 24 hours</security>
  <embargo>Child fed family dish in past 24 hours</embargo>
  <respUnit>Child fed family dish in past 24 hours</respUnit>
  <qstn>
    <qstnLit>431) FOR MOST RECENT BIRTH: At any time yesterday or last night did you give (NAME) one of the following things:

Plain water?
Sugar water?
Juice?
Herbal tea?
Tinned baby formula?
Other tinned or powdered milk?
Fresh (animal) milk?
Other liquids?
Porridge?
Other food specially made for the child?
Family meal?

WATER

YES 1
NO 2

SUGAR WATER

YES 1
NO 2

JUICE

YES 1
NO 2

HERBAL TEA

YES 1
NO 2

TINNED BABY FORMULA

YES 1
NO 2

POWDERED/TINNED MILK

YES 1
NO 2

FRESH MILK

YES 1
NO 2

OTHER LIQUIDS

YES 1
NO 2

PORRIDGE

YES 1
NO 2

OTHER FOOD MADE FOR THE CHILD

YES 1
NO 2

FAMILY MEAL

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FEDFAMDISH24H indicates whether the child ate food from a dish prepared for the whole family during the previous day, either at night or during the daytime. This variable is a characteristic of the child.</txt>
  <concept>
    <title>Days child fed foods in past week Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEDKIDFD24H" name="C_FEDKIDFD24H" files="C" intrvl="discrete">
  <labl>Child fed food prepared especially for child in past 24 hours</labl>
  <imputation>Child fed food prepared especially for child in past 24 hours</imputation>
  <security>Child fed food prepared especially for child in past 24 hours</security>
  <embargo>Child fed food prepared especially for child in past 24 hours</embargo>
  <respUnit>Child fed food prepared especially for child in past 24 hours</respUnit>
  <qstn>
    <qstnLit>431) FOR MOST RECENT BIRTH: At any time yesterday or last night did you give (NAME) one of the following things:

Plain water?
Sugar water?
Juice?
Herbal tea?
Tinned baby formula?
Other tinned or powdered milk?
Fresh (animal) milk?
Other liquids?
Porridge?
Other food specially made for the child?
Family meal?

WATER

YES 1
NO 2

SUGAR WATER

YES 1
NO 2

JUICE

YES 1
NO 2

HERBAL TEA

YES 1
NO 2

TINNED BABY FORMULA

YES 1
NO 2

POWDERED/TINNED MILK

YES 1
NO 2

FRESH MILK

YES 1
NO 2

OTHER LIQUIDS

YES 1
NO 2

PORRIDGE

YES 1
NO 2

OTHER FOOD MADE FOR THE CHILD

YES 1
NO 2

FAMILY MEAL

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FEDKIDFD24H indicates whether the child ate any food prepared especially for the child (i.e., baby food) during the previous day, either at night or during the daytime. This variable is a characteristic of the child.</txt>
  <concept>
    <title>Days child fed foods in past week Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_COURECENT" name="C_COURECENT" files="C" intrvl="discrete">
  <labl>Child had cough/difficult breathing recently</labl>
  <imputation>Child had cough/difficult breathing recently</imputation>
  <security>Child had cough/difficult breathing recently</security>
  <embargo>Child had cough/difficult breathing recently</embargo>
  <respUnit>Child had cough/difficult breathing recently</respUnit>
  <qstn>
    <qstnLit>451) Has (NAME) been ill with a cough any time during the last two weeks?

YES 1
NO 2 (GO TO 455)
DON'T KNOW 8 (GO TO 455)</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Yes, past four weeks/month</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Yes, last 24 hours</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Yes, last 2 to 14 days</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Yes, last two weeks</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children under age 5, COURECENT (H31) indicates whether the child experienced a cough in the past 2 weeks. Question wording differences may limit the comparability of COURECENT; see Comparability.</txt>
  <concept>
    <title>Child respiratory illness or fever Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_COUSHORTBRE" name="C_COUSHORTBRE" files="C" intrvl="discrete">
  <labl>Child breathed with short, rapid breaths when had cough</labl>
  <imputation>Child breathed with short, rapid breaths when had cough</imputation>
  <security>Child breathed with short, rapid breaths when had cough</security>
  <embargo>Child breathed with short, rapid breaths when had cough</embargo>
  <respUnit>Child breathed with short, rapid breaths when had cough</respUnit>
  <qstn>
    <qstnLit>454) When (NAME) had the illness with a cough, did he/she breathe faster than usual with short, rapid breaths?

YES 1
NO 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>COUSHORTBRE (H31B) indicates whether the child experienced fast, short, rapid breaths or difficulty breathing in the last 2 weeks.</txt>
  <concept>
    <title>Child respiratory illness or fever Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_COUDURDAYS" name="C_COUDURDAYS" files="C" intrvl="discrete">
  <labl>Duration of cough in days</labl>
  <imputation>Duration of cough in days</imputation>
  <security>Duration of cough in days</security>
  <embargo>Duration of cough in days</embargo>
  <respUnit>Duration of cough in days</respUnit>
  <qstn>
    <qstnLit>453) For how many days (has the cough lasted/did the cough last)?

 IF LESS THAN ONE DAY, RECORD '00'.

DAYS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Less than 1 day</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children under age 5 who had a cough in the past 2 weeks, COUDURDAYS (H31A) reports the number of days the cough lasted.</txt>
  <concept>
    <title>Child respiratory illness or fever Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVRECENT" name="C_FEVRECENT" files="C" intrvl="discrete">
  <labl>Child had fever in last two/four weeks</labl>
  <imputation>Child had fever in last two/four weeks</imputation>
  <security>Child had fever in last two/four weeks</security>
  <embargo>Child had fever in last two/four weeks</embargo>
  <respUnit>Child had fever in last two/four weeks</respUnit>
  <qstn>
    <qstnLit>450) Has (NAME) had a fever any time during the last two weeks?

YES 1
NO 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Yes, fever</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Yes, fever in last 2 weeks</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Yes, fever in last 4 weeks</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children born in the three to five years preceding the survey, FEVRECENT (H22) indicates whether the child had a fever in recent weeks (most often in the previous two weeks). See Comparability.</txt>
  <concept>
    <title>Child respiratory illness or fever Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVGIVANMAL" name="C_FEVGIVANMAL" files="C" intrvl="discrete">
  <labl>Child's fever/cough treated by: Antimalarial</labl>
  <imputation>Child's fever/cough treated by: Antimalarial</imputation>
  <security>Child's fever/cough treated by: Antimalarial</security>
  <embargo>Child's fever/cough treated by: Antimalarial</embargo>
  <respUnit>Child's fever/cough treated by: Antimalarial</respUnit>
  <qstn>
    <qstnLit>457) What was given to him/her?

Anything else?

RECORD ALL MENTIONED.

INJECTION A
ANTIBIOTIC (PILL OR SYRUP) B
ANTIMALARIAL (PILL OR SYRUP) C
COUGH SYRUP D
OTHER PILL OR SYRUP E
UNKNOWN PILL OR SYRUP F
HOME REMEDY/HERBAL MEDICINE G
OTHER (SPECIFY): ___ H</qstnLit>
  </qstn>
  <catgry>
    <catValu>16</catValu>
    <labl>Given antimalarial for fever or difficult/rapid breathing</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, child given antimalarial</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Given antimalarial for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Given antimalarial for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Given antimalarial for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Given antimalarial for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Given antimalarial for fever or convulsions</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 to 4 weeks, FEVGIVANMAL (H33A) indicates whether the child was given an antimalarial drug (pill or syrup).

A few samples ask separately about drugs taken for fever and drugs taken for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received the drug, and the second digit indicates the child's illness:


11: The child was given the drug for a fever
12: The child was given the drug for a cough
13: The child was given the drug for a fever or a cough
14: The child was given the drug for both a fever and a cough
15: The child was given the drug for a fever or convulsions
16: The child was given the drug for a fever or difficult/rapid breathing


See Comparability for more information.</txt>
  <concept>
    <title>Child respiratory illness, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVGIVANTIB" name="C_FEVGIVANTIB" files="C" intrvl="discrete">
  <labl>Child's fever/cough treated by: Antibiotics (pill/syrup)</labl>
  <imputation>Child's fever/cough treated by: Antibiotics (pill/syrup)</imputation>
  <security>Child's fever/cough treated by: Antibiotics (pill/syrup)</security>
  <embargo>Child's fever/cough treated by: Antibiotics (pill/syrup)</embargo>
  <respUnit>Child's fever/cough treated by: Antibiotics (pill/syrup)</respUnit>
  <qstn>
    <qstnLit>457) What was given to him/her?

Anything else?

RECORD ALL MENTIONED.

INJECTION A
ANTIBIOTIC (PILL OR SYRUP) B
ANTIMALARIAL (PILL OR SYRUP) C
COUGH SYRUP D
OTHER PILL OR SYRUP E
UNKNOWN PILL OR SYRUP F
HOME REMEDY/HERBAL MEDICINE G
OTHER (SPECIFY): ___ H</qstnLit>
  </qstn>
  <catgry>
    <catValu>16</catValu>
    <labl>Given antibiotics for fever or difficult/rapid breathing</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, child given antibiotics</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Given antibiotics for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Given antibiotics for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Given antibiotics for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Given antibiotics for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Given antibiotics for fever or convulsions</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 to 4 weeks, FEVGIVANTIB (ML13I) indicates whether the child was given an antibiotic pill or syrup.

A few samples ask separately about drugs taken for fever and drugs taken for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received the drug, and the second digit indicates the child's illness:


11: The child was given the drug for a fever
12: The child was given the drug for a cough
13: The child was given the drug for a fever or a cough
14: The child was given the drug for both a fever and a cough
15: The child was given the drug for a fever or convulsions
16: The child was given the drug for a fever or difficult/rapid breathing


See Comparability for more information.</txt>
  <concept>
    <title>Child respiratory illness, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVGIVINJ" name="C_FEVGIVINJ" files="C" intrvl="discrete">
  <labl>Child's fever/cough treated by: (Antibiotic) Injection</labl>
  <imputation>Child's fever/cough treated by: (Antibiotic) Injection</imputation>
  <security>Child's fever/cough treated by: (Antibiotic) Injection</security>
  <embargo>Child's fever/cough treated by: (Antibiotic) Injection</embargo>
  <respUnit>Child's fever/cough treated by: (Antibiotic) Injection</respUnit>
  <qstn>
    <qstnLit>457) What was given to him/her?

Anything else?

RECORD ALL MENTIONED.

INJECTION A
ANTIBIOTIC (PILL OR SYRUP) B
ANTIMALARIAL (PILL OR SYRUP) C
COUGH SYRUP D
OTHER PILL OR SYRUP E
UNKNOWN PILL OR SYRUP F
HOME REMEDY/HERBAL MEDICINE G
OTHER (SPECIFY): ___ H</qstnLit>
  </qstn>
  <catgry>
    <catValu>16</catValu>
    <labl>Given injection for fever or difficult/rapid breathing</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, child given injection</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Given injection for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Given injection for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Given injection for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Given injection for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Given injection for fever or convulsions</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 to 4 weeks, FEVGIVINJ (ML13J) indicates whether the child was given an unspecified injection or an antibiotic injection.

A few samples ask separately about drugs taken for fever and drugs taken for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received the drug, and the second digit indicates the child's illness:


11: The child was given the drug for a fever
12: The child was given the drug for a cough
13: The child was given the drug for a fever or a cough
14: The child was given the drug for both a fever and a cough
15: The child was given the drug for a fever or convulsions
16: The child was given the drug for a fever or difficult/rapid breathing


See Comparability for more information.</txt>
  <concept>
    <title>Child respiratory illness, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVGIVCOUSYR" name="C_FEVGIVCOUSYR" files="C" intrvl="discrete">
  <labl>Child's fever/cough treated by: Cough syrup</labl>
  <imputation>Child's fever/cough treated by: Cough syrup</imputation>
  <security>Child's fever/cough treated by: Cough syrup</security>
  <embargo>Child's fever/cough treated by: Cough syrup</embargo>
  <respUnit>Child's fever/cough treated by: Cough syrup</respUnit>
  <qstn>
    <qstnLit>457) What was given to him/her?

Anything else?

RECORD ALL MENTIONED.

INJECTION A
ANTIBIOTIC (PILL OR SYRUP) B
ANTIMALARIAL (PILL OR SYRUP) C
COUGH SYRUP D
OTHER PILL OR SYRUP E
UNKNOWN PILL OR SYRUP F
HOME REMEDY/HERBAL MEDICINE G
OTHER (SPECIFY): ___ H</qstnLit>
  </qstn>
  <catgry>
    <catValu>16</catValu>
    <labl>Given cough syrup for fever or difficult/rapid breathing</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, child given cough syrup</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Given cough syrup for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Given cough syrup for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Given cough syrup for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Given cough syrup for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Given cough syrup for fever or convulsions</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 to 4 weeks, FEVGIVCOUSYR indicates whether the child was given cough syrup.

A few samples ask separately about drugs taken for fever and drugs taken for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received the drug, and the second digit indicates the child's illness:


11: The child was given the drug for a fever
12: The child was given the drug for a cough
13: The child was given the drug for a fever or a cough
14: The child was given the drug for both a fever and a cough
15: The child was given the drug for a fever or convulsions
16: The child was given the drug for a fever or difficult/rapid breathing


See Comparability for more information.</txt>
  <concept>
    <title>Child respiratory illness, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVGIVHERB" name="C_FEVGIVHERB" files="C" intrvl="discrete">
  <labl>Child's fever/cough treated by: Home remedy or herbal medicine</labl>
  <imputation>Child's fever/cough treated by: Home remedy or herbal medicine</imputation>
  <security>Child's fever/cough treated by: Home remedy or herbal medicine</security>
  <embargo>Child's fever/cough treated by: Home remedy or herbal medicine</embargo>
  <respUnit>Child's fever/cough treated by: Home remedy or herbal medicine</respUnit>
  <qstn>
    <qstnLit>457) What was given to him/her?

Anything else?

RECORD ALL MENTIONED.

INJECTION A
ANTIBIOTIC (PILL OR SYRUP) B
ANTIMALARIAL (PILL OR SYRUP) C
COUGH SYRUP D
OTHER PILL OR SYRUP E
UNKNOWN PILL OR SYRUP F
HOME REMEDY/HERBAL MEDICINE G
OTHER (SPECIFY): ___ H</qstnLit>
  </qstn>
  <catgry>
    <catValu>16</catValu>
    <labl>Given home remedy/herbal medicine for fever or difficult/rapid breathing</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, child given traditional herbs/medicines</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Given home remedy/herbal medicine for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Given home remedy/herbal medicine for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Given home remedy/herbal medicine for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Given home remedy/herbal medicine for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Given home remedy/herbal medicine for fever or convulsions</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 to 4 weeks, FEVGIVHERB indicates whether the child was given a home remedy or herbal medicine.

A few samples ask separately about drugs taken for fever and drugs taken for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received the drug, and the second digit indicates the child's illness:


11: The child was given the remedy for a fever
12: The child was given the remedy for a cough
13: The child was given the remedy for a fever or a cough
14: The child was given the remedy for both a fever and a cough
15: The child was given the remedy for a fever or convulsions
16: The child was given the remedy for a fever or difficult/rapid breathing


See Comparability for more information.</txt>
  <concept>
    <title>Child respiratory illness, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVGIVUNPLSYR" name="C_FEVGIVUNPLSYR" files="C" intrvl="discrete">
  <labl>Child's fever/cough treated by: Unknown pill/syrup</labl>
  <imputation>Child's fever/cough treated by: Unknown pill/syrup</imputation>
  <security>Child's fever/cough treated by: Unknown pill/syrup</security>
  <embargo>Child's fever/cough treated by: Unknown pill/syrup</embargo>
  <respUnit>Child's fever/cough treated by: Unknown pill/syrup</respUnit>
  <qstn>
    <qstnLit>457) What was given to him/her?

Anything else?

RECORD ALL MENTIONED.

INJECTION A
ANTIBIOTIC (PILL OR SYRUP) B
ANTIMALARIAL (PILL OR SYRUP) C
COUGH SYRUP D
OTHER PILL OR SYRUP E
UNKNOWN PILL OR SYRUP F
HOME REMEDY/HERBAL MEDICINE G
OTHER (SPECIFY): ___ H</qstnLit>
  </qstn>
  <catgry>
    <catValu>16</catValu>
    <labl>Given unknown pill/syrup for fever or difficult/rapid breathing</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, child given unknown pill/syrup</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Given unknown pill/syrup for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Given unknown pill/syrup for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Given unknown pill/syrup for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Given unknown pill/syrup for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Given unknown pill/syrup for fever or convulsions</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 to 4 weeks, FEVGIVUNPLSYR indicates whether the child was given an unknown pill or syrup. 

A few samples ask separately about drugs taken for fever and drugs taken for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received the drug, and the second digit indicates the child's illness:


11: The child was given the drug for a fever
12: The child was given the drug for a cough
13: The child was given the drug for a fever or a cough
14: The child was given the drug for both a fever and a cough
15: The child was given the drug for a fever or convulsions
16: The child was given the drug for a fever or difficult/rapid breathing


See Comparability for more information.</txt>
  <concept>
    <title>Child respiratory illness, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVGIVOPLSYR" name="C_FEVGIVOPLSYR" files="C" intrvl="discrete">
  <labl>Child's fever/cough treated by: Other pill/syrup</labl>
  <imputation>Child's fever/cough treated by: Other pill/syrup</imputation>
  <security>Child's fever/cough treated by: Other pill/syrup</security>
  <embargo>Child's fever/cough treated by: Other pill/syrup</embargo>
  <respUnit>Child's fever/cough treated by: Other pill/syrup</respUnit>
  <qstn>
    <qstnLit>457) What was given to him/her?

Anything else?

RECORD ALL MENTIONED.

INJECTION A
ANTIBIOTIC (PILL OR SYRUP) B
ANTIMALARIAL (PILL OR SYRUP) C
COUGH SYRUP D
OTHER PILL OR SYRUP E
UNKNOWN PILL OR SYRUP F
HOME REMEDY/HERBAL MEDICINE G
OTHER (SPECIFY): ___ H</qstnLit>
  </qstn>
  <catgry>
    <catValu>16</catValu>
    <labl>Given other pill/syrup for fever or difficult/rapid breathing</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, child given other pill/syrup</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Given other pill/syrup for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Given other pill/syrup for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Given other pill/syrup for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Given other pill/syrup for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Given other pill/syrup for fever or convulsions</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 to 4 weeks, FEVGIVOPLSYR indicates whether the child was given some other pill or syrup. The meaning of "other" must be interpreted relative to the specific categories included in a particular sample. 

A few samples ask separately about drugs taken for fever and drugs taken for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received the drug, and the second digit indicates the child's illness:


11: The child was given the drug for a fever
12: The child was given the drug for a cough
13: The child was given the drug for a fever or a cough
14: The child was given the drug for both a fever and a cough
15: The child was given the drug for a fever or convulsions
16: The child was given the drug for a fever or difficult/rapid breathing


See Comparability for more information.</txt>
  <concept>
    <title>Child respiratory illness, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVGIVOTH" name="C_FEVGIVOTH" files="C" intrvl="discrete">
  <labl>Child's fever/cough treated by: Other</labl>
  <imputation>Child's fever/cough treated by: Other</imputation>
  <security>Child's fever/cough treated by: Other</security>
  <embargo>Child's fever/cough treated by: Other</embargo>
  <respUnit>Child's fever/cough treated by: Other</respUnit>
  <qstn>
    <qstnLit>457) What was given to him/her?

Anything else?

RECORD ALL MENTIONED.

INJECTION A
ANTIBIOTIC (PILL OR SYRUP) B
ANTIMALARIAL (PILL OR SYRUP) C
COUGH SYRUP D
OTHER PILL OR SYRUP E
UNKNOWN PILL OR SYRUP F
HOME REMEDY/HERBAL MEDICINE G
OTHER (SPECIFY): ___ H</qstnLit>
  </qstn>
  <catgry>
    <catValu>16</catValu>
    <labl>Given other medicine for fever or difficult/rapid breathing</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, child given other</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Given other medicine for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Given other medicine for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Given other medicine for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Given other medicine for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Given other medicine for fever or convulsions</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 to 4 weeks, FEVGIVOTH (ML13X) indicates whether the child was given some other medicine. The meaning of "other" must be interpreted relative to the specific categories included in the sample.

A few samples ask separately about drugs taken for fever and drugs taken for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received the drug, and the second digit indicates the child's illness:


11: The child was given the drug for a fever
12: The child was given the drug for a cough
13: The child was given the drug for a fever or a cough
14: The child was given the drug for both a fever and a cough
15: The child was given the drug for a fever or convulsions
16: The child was given the drug for a fever or difficult/rapid breathing


See Comparability for more information.</txt>
  <concept>
    <title>Child respiratory illness, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVGIVANY" name="C_FEVGIVANY" files="C" intrvl="discrete">
  <labl>Child's fever/cough treated by: Any medicine</labl>
  <imputation>Child's fever/cough treated by: Any medicine</imputation>
  <security>Child's fever/cough treated by: Any medicine</security>
  <embargo>Child's fever/cough treated by: Any medicine</embargo>
  <respUnit>Child's fever/cough treated by: Any medicine</respUnit>
  <qstn>
    <qstnLit>456) Was anything given to (NAME) to treat the fever/cough?

YES 1
NO 2 (GO TO 458)
DON'T KNOW 8 (GO TO 458)</qstnLit>
  </qstn>
  <catgry>
    <catValu>16</catValu>
    <labl>Given any treatment for fever or difficult/rapid breathing</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, child given any treatment</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Given any treatment for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Given any treatment for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Given any treatment for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Given any treatment for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Given any treatment for fever or convulsions</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 to 4 weeks, FEVGIVANY indicates whether the child was given any medicine. 

A few samples ask separately about drugs taken for fever and drugs taken for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received any drug, and the second digit indicates the child's illness:


11: The child was given any drug for a fever
12: The child was given any drug for a cough
13: The child was given any drug for a fever or a cough
14: The child was given any drug for both a fever and a cough
15: The child was given any drug for a fever or convulsions
16: The child was given any drug for a fever or difficult/rapid breathing


See Comparability for more information.</txt>
  <concept>
    <title>Child respiratory illness, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVGIVNONE" name="C_FEVGIVNONE" files="C" intrvl="discrete">
  <labl>Child's fever/cough treated by: Nothing</labl>
  <imputation>Child's fever/cough treated by: Nothing</imputation>
  <security>Child's fever/cough treated by: Nothing</security>
  <embargo>Child's fever/cough treated by: Nothing</embargo>
  <respUnit>Child's fever/cough treated by: Nothing</respUnit>
  <qstn>
    <qstnLit>456) Was anything given to (NAME) to treat the fever/cough?

YES 1
NO 2 (GO TO 458)
DON'T KNOW 8 (GO TO 458)</qstnLit>
  </qstn>
  <catgry>
    <catValu>16</catValu>
    <labl>Given nothing for fever or difficult/rapid breathing</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, child given nothing</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Given nothing for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Given nothing for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Given nothing for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Given nothing for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Given nothing for fever or convulsions</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 to 4 weeks, FEVGIVNONE (ML13Y) indicates whether the child was given no medicine. 

A few samples ask separately about drugs taken for fever and drugs taken for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received no drug, and the second digit indicates the child's illness:


11: The child was given no drug for a fever
12: The child was given no drug for a cough
13: The child was given no drug for a fever or a cough
14: The child was given no drug for both a fever and a cough
15: The child was given no drug for a fever or convulsions
16: The child was given no drug for a fever or difficult/rapid breathing


See Comparability for more information.</txt>
  <concept>
    <title>Child respiratory illness, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVTREMEDFAC" name="C_FEVTREMEDFAC" files="C" intrvl="discrete">
  <labl>Child taken to medical facility for fever/cough treatment</labl>
  <imputation>Child taken to medical facility for fever/cough treatment</imputation>
  <security>Child taken to medical facility for fever/cough treatment</security>
  <embargo>Child taken to medical facility for fever/cough treatment</embargo>
  <respUnit>Child taken to medical facility for fever/cough treatment</respUnit>
  <qstn>
    <qstnLit>458) Did you seek advice or treatment for the fever/cough?

YES 1
NO 2 (GO TO 460)</qstnLit>
  </qstn>
  <catgry>
    <labl>Did not receive any treatment</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Received treatment</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever and/or cough in the past 2 weeks, FEVTREMEDFAC (H32Z) indicates whether they were taken to a medical facility for treatment for this illness.

According to the standard DHS recode manuals, a treatment source was considered a medical facility if it fell under the Public Sector or Medical Private Sector headers, except for Pharmacy.</txt>
  <concept>
    <title>Child respiratory illness, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVTRENONE" name="C_FEVTRENONE" files="C" intrvl="discrete">
  <labl>Whether no treatment or advice sought for child's fever/cough</labl>
  <imputation>Whether no treatment or advice sought for child's fever/cough</imputation>
  <security>Whether no treatment or advice sought for child's fever/cough</security>
  <embargo>Whether no treatment or advice sought for child's fever/cough</embargo>
  <respUnit>Whether no treatment or advice sought for child's fever/cough</respUnit>
  <qstn>
    <qstnLit>458) Did you seek advice or treatment for the fever/cough?

YES 1
NO 2 (GO TO 460)</qstnLit>
  </qstn>
  <catgry>
    <labl>No, received treatment</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes, no treatment or advice sought</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever and/or cough in the past 2 weeks, FEVTRENONE (H32Y) indicates whether no treatment or advice was sought for this illness. This variable is constructed based on the responses to the standard DHS variables H32A-H32X.</txt>
  <concept>
    <title>Child respiratory illness, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVTRPUBHOS" name="C_FEVTRPUBHOS" files="C" intrvl="discrete">
  <labl>Source of fever/cough treatment: Public hospital</labl>
  <imputation>Source of fever/cough treatment: Public hospital</imputation>
  <security>Source of fever/cough treatment: Public hospital</security>
  <embargo>Source of fever/cough treatment: Public hospital</embargo>
  <respUnit>Source of fever/cough treatment: Public hospital</respUnit>
  <qstn>
    <qstnLit>459) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE I
CLINIC/HOSPITAL J
PHARMACY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, sought treatment at public hospital</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Sought treatment for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Sought treatment for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Sought treatment for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Sought treatment for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Sought treatment for cough and convulsions</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Sought treatment for convulsions</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Sought treatment for fever or rapid/difficult breathing</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 weeks, FEVTRPUBHOS (H32A) indicates, in response to an open-ended question, whether the child received treatment at a public hospital for this illness. 

Some samples in the "FEVTR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as FEVTRPUBHOS, while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public hospitals that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.

A few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; and a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.</txt>
  <concept>
    <title>Source for respiratory treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVTRPUBHC" name="C_FEVTRPUBHC" files="C" intrvl="discrete">
  <labl>Source of fever/cough treatment: Public health center</labl>
  <imputation>Source of fever/cough treatment: Public health center</imputation>
  <security>Source of fever/cough treatment: Public health center</security>
  <embargo>Source of fever/cough treatment: Public health center</embargo>
  <respUnit>Source of fever/cough treatment: Public health center</respUnit>
  <qstn>
    <qstnLit>459) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE I
CLINIC/HOSPITAL J
PHARMACY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q

*****

459) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE I
CLINIC/HOSPITAL J
PHARMACY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, sought treatment at public health center</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Sought treatment for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Sought treatment for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Sought treatment for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Sought treatment for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Sought treatment for cough and convulsions</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Sought treatment for convulsions</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Sought treatment for fever or rapid/difficult breathing</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 weeks, FEVTRPUBHC (H32B) indicates, in response to an open-ended question, whether the child received treatment at a public health center for this illness. 

Some samples in the "FEVTR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as FEVTRPUBHC, while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public health centers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.

A few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; and a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.</txt>
  <concept>
    <title>Source for respiratory treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVTRPUBHP" name="C_FEVTRPUBHP" files="C" intrvl="discrete">
  <labl>Source of fever/cough treatment: Public health post</labl>
  <imputation>Source of fever/cough treatment: Public health post</imputation>
  <security>Source of fever/cough treatment: Public health post</security>
  <embargo>Source of fever/cough treatment: Public health post</embargo>
  <respUnit>Source of fever/cough treatment: Public health post</respUnit>
  <qstn>
    <qstnLit>459) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE I
CLINIC/HOSPITAL J
PHARMACY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, sought treatment at public health post</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Sought treatment for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Sought treatment for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Sought treatment for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Sought treatment for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Sought treatment for cough and convulsions</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Sought treatment for convulsions</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Sought treatment for fever or rapid/difficult breathing</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 weeks, FEVTRPUBHP (H32C) indicates, in response to an open-ended question, whether the child received treatment at a public health post for this illness. 

Some samples in the "FEVTR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as FEVTRPUBHP, while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public health posts that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.

A few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; and a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.</txt>
  <concept>
    <title>Source for respiratory treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVTRPUBMOB" name="C_FEVTRPUBMOB" files="C" intrvl="discrete">
  <labl>Source of fever/cough treatment: Public mobile clinic</labl>
  <imputation>Source of fever/cough treatment: Public mobile clinic</imputation>
  <security>Source of fever/cough treatment: Public mobile clinic</security>
  <embargo>Source of fever/cough treatment: Public mobile clinic</embargo>
  <respUnit>Source of fever/cough treatment: Public mobile clinic</respUnit>
  <qstn>
    <qstnLit>459) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE I
CLINIC/HOSPITAL J
PHARMACY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, sought treatment at public mobile clinic</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Sought treatment for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Sought treatment for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Sought treatment for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Sought treatment for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Sought treatment for cough and convulsions</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Sought treatment for convulsions</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Sought treatment for fever or rapid/difficult breathing</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 weeks, FEVTRPUBMOB (H32D) indicates, in response to an open-ended question, whether the child received treatment from a public mobile clinic for this illness. 

A few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; and a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.

IPUMS-DHS users should be careful to distinguish FEVTRPUBMOB from FEVTRPRIVMOB (private mobile clinic).</txt>
  <concept>
    <title>Source for respiratory treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVTRPUBFW" name="C_FEVTRPUBFW" files="C" intrvl="discrete">
  <labl>Source of fever/cough treatment: Public fieldworker</labl>
  <imputation>Source of fever/cough treatment: Public fieldworker</imputation>
  <security>Source of fever/cough treatment: Public fieldworker</security>
  <embargo>Source of fever/cough treatment: Public fieldworker</embargo>
  <respUnit>Source of fever/cough treatment: Public fieldworker</respUnit>
  <qstn>
    <qstnLit>459) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE I
CLINIC/HOSPITAL J
PHARMACY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, sought treatment from public fieldworker</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Sought treatment for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Sought treatment for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Sought treatment for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Sought treatment for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Sought treatment for cough and convulsions</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Sought treatment for convulsions</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Sought treatment for fever or rapid/difficult breathing</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 weeks, FEVTRPUBFW (H32E) indicates, in response to an open-ended question, whether the child received treatment from a public community health worker for this illness. 

Some samples in the "FEVTR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as FEVTRPUBFW, while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public field workers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.

A few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; and a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.

IPUMS-DHS users should be careful to distinguish FEVTRPUBFW from FEVTRPRIVFW (private community health worker).</txt>
  <concept>
    <title>Source for respiratory treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVTRPUBDRUG" name="C_FEVTRPUBDRUG" files="C" intrvl="discrete">
  <labl>Source of fever/cough treatment: Public dispensary</labl>
  <imputation>Source of fever/cough treatment: Public dispensary</imputation>
  <security>Source of fever/cough treatment: Public dispensary</security>
  <embargo>Source of fever/cough treatment: Public dispensary</embargo>
  <respUnit>Source of fever/cough treatment: Public dispensary</respUnit>
  <qstn>
    <qstnLit>459) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE I
CLINIC/HOSPITAL J
PHARMACY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, sought treatment at public dispensary</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Sought treatment for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Sought treatment for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Sought treatment for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Sought treatment for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Sought treatment for cough and convulsions</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Sought treatment for convulsions</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Sought treatment for fever or rapid/difficult breathing</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 weeks, FEVTRPUBDRUG indicates, in response to an open-ended question, whether the child received treatment from a public dispensary, pharmacy, or drug store for this illness. 

A few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; and a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.</txt>
  <concept>
    <title>Source for respiratory treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVTRPRIVHOS" name="C_FEVTRPRIVHOS" files="C" intrvl="discrete">
  <labl>Source of fever/cough treatment: Private hospital/clinic</labl>
  <imputation>Source of fever/cough treatment: Private hospital/clinic</imputation>
  <security>Source of fever/cough treatment: Private hospital/clinic</security>
  <embargo>Source of fever/cough treatment: Private hospital/clinic</embargo>
  <respUnit>Source of fever/cough treatment: Private hospital/clinic</respUnit>
  <qstn>
    <qstnLit>459) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE I
CLINIC/HOSPITAL J
PHARMACY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, sought treatment at private hospital/clinic</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Sought treatment for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Sought treatment for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Sought treatment for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Sought treatment for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Sought treatment for cough and convulsions</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Sought treatment for convulsions</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Sought treatment for fever or rapid/difficult breathing</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 weeks, FEVTRPRIVHOS (H32J) indicates, in response to an open-ended question, whether the child received treatment at a private hospital or clinic for this illness. 

Some samples in the "FEVTR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as FEVTRPRIVHOS, while preserving the separate responses in country-specific variables.

Additionally, a few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; and a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.</txt>
  <concept>
    <title>Source for respiratory treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVTRPRIVDRUG" name="C_FEVTRPRIVDRUG" files="C" intrvl="discrete">
  <labl>Source of fever/cough treatment: Private pharmacy, drug store, or dispensary</labl>
  <imputation>Source of fever/cough treatment: Private pharmacy, drug store, or dispensary</imputation>
  <security>Source of fever/cough treatment: Private pharmacy, drug store, or dispensary</security>
  <embargo>Source of fever/cough treatment: Private pharmacy, drug store, or dispensary</embargo>
  <respUnit>Source of fever/cough treatment: Private pharmacy, drug store, or dispensary</respUnit>
  <qstn>
    <qstnLit>459) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE I
CLINIC/HOSPITAL J
PHARMACY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q

*****

459) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE I
CLINIC/HOSPITAL J
PHARMACY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <catValu>16</catValu>
    <labl>Sought treatment for convulsions</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, sought treatment at private pharmacy, drug store, or dispensary</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Sought treatment for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Sought treatment for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Sought treatment for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Sought treatment for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Sought treatment for cough and convulsions</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Sought treatment for fever or rapid/difficult breathing</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 weeks, FEVTRPRIVDRUG (H32K) indicates, in response to an open-ended question, whether the child received treatment at a private pharmacy, dispensary, or drug store for this illness. 

Some samples in the "FEVTR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as FEVTRPRIVDRUG, while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of private, formal drug sources that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.

Additionally, a few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; and a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.</txt>
  <concept>
    <title>Source for respiratory treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVTRPRIVDR" name="C_FEVTRPRIVDR" files="C" intrvl="discrete">
  <labl>Source of fever/cough treatment: Private doctor</labl>
  <imputation>Source of fever/cough treatment: Private doctor</imputation>
  <security>Source of fever/cough treatment: Private doctor</security>
  <embargo>Source of fever/cough treatment: Private doctor</embargo>
  <respUnit>Source of fever/cough treatment: Private doctor</respUnit>
  <qstn>
    <qstnLit>459) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE I
CLINIC/HOSPITAL J
PHARMACY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, sought treatment from private doctor</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Sought treatment for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Sought treatment for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Sought treatment for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Sought treatment for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Sought treatment for cough and convulsions</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Sought treatment for convulsions</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Sought treatment for fever or rapid/difficult breathing</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 weeks, FEVTRPRIVDR (H32L) indicates, in response to an open-ended question, whether the child received treatment from a private doctor for this illness. 

A few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.</txt>
  <concept>
    <title>Source for respiratory treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVTRSHOP" name="C_FEVTRSHOP" files="C" intrvl="discrete">
  <labl>Source of fever/cough treatment: Shop (other)</labl>
  <imputation>Source of fever/cough treatment: Shop (other)</imputation>
  <security>Source of fever/cough treatment: Shop (other)</security>
  <embargo>Source of fever/cough treatment: Shop (other)</embargo>
  <respUnit>Source of fever/cough treatment: Shop (other)</respUnit>
  <qstn>
    <qstnLit>459) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE I
CLINIC/HOSPITAL J
PHARMACY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, sought treatment at shop</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Sought treatment for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Sought treatment for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Sought treatment for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Sought treatment for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Sought treatment for cough and convulsions</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Sought treatment for convulsions</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Sought treatment for fever or rapid/difficult breathing</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 weeks, FEVTRSHOP (H32S) indicates, in response to an open-ended question, whether the child received treatment at a shop for this illness. 

Some samples in the "FEVTR" series include categories that can be consolidated into a single response. IPUMS DHS uses supplemental programming to combine these responses in a standard variable, such as FEVTRSHOP, while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of shops/retailers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.

A few samples ask separately about treatment given for fever and treatment given for cough. IPUMS DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; and a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.</txt>
  <concept>
    <title>Source for respiratory treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVTRPRIVHL" name="C_FEVTRPRIVHL" files="C" intrvl="discrete">
  <labl>Source of fever/cough treatment: Traditional healer/practitioner</labl>
  <imputation>Source of fever/cough treatment: Traditional healer/practitioner</imputation>
  <security>Source of fever/cough treatment: Traditional healer/practitioner</security>
  <embargo>Source of fever/cough treatment: Traditional healer/practitioner</embargo>
  <respUnit>Source of fever/cough treatment: Traditional healer/practitioner</respUnit>
  <qstn>
    <qstnLit>459) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE I
CLINIC/HOSPITAL J
PHARMACY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, sought treatment from traditional healer/practitioner</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Sought treatment for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Sought treatment for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Sought treatment for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Sought treatment for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Sought treatment for cough and convulsions</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Sought treatment for convulsions</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Sought treatment for fever or rapid/difficult breathing</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 weeks, FEVTRPRIVHL (H32T) indicates, in response to an open-ended question, whether the child received treatment from a traditional healer or practitioner for this illness.

Some samples in the "FEVTR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, such as FEVTRPRIVHL, while preserving the separate responses in country-specific variables.

A few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; and a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.</txt>
  <concept>
    <title>Source for respiratory treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVTRFRND" name="C_FEVTRFRND" files="C" intrvl="discrete">
  <labl>Source of fever/cough treatment: Friend/relative (other)</labl>
  <imputation>Source of fever/cough treatment: Friend/relative (other)</imputation>
  <security>Source of fever/cough treatment: Friend/relative (other)</security>
  <embargo>Source of fever/cough treatment: Friend/relative (other)</embargo>
  <respUnit>Source of fever/cough treatment: Friend/relative (other)</respUnit>
  <qstn>
    <qstnLit>459) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE I
CLINIC/HOSPITAL J
PHARMACY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, sought treatment from friend/relative</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Sought treatment for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Sought treatment for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Sought treatment for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Sought treatment for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Sought treatment for cough and convulsions</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Sought treatment for convulsions</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Sought treatment for fever or rapid/difficult breathing</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 weeks, FEVTRFRND indicates, in response to an open-ended question, whether the child received treatment from a friend or relative for this illness. 

A few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.</txt>
  <concept>
    <title>Source for respiratory treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVTROTHDRUG" name="C_FEVTROTHDRUG" files="C" intrvl="discrete">
  <labl>Source of fever/cough treatment: Informal drug seller (other)</labl>
  <imputation>Source of fever/cough treatment: Informal drug seller (other)</imputation>
  <security>Source of fever/cough treatment: Informal drug seller (other)</security>
  <embargo>Source of fever/cough treatment: Informal drug seller (other)</embargo>
  <respUnit>Source of fever/cough treatment: Informal drug seller (other)</respUnit>
  <qstn>
    <qstnLit>459) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE I
CLINIC/HOSPITAL J
PHARMACY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, sought treatment at informal drug seller</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Sought treatment for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Sought treatment for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Sought treatment for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Sought treatment for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Sought treatment for cough and convulsions</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Sought treatment for convulsions</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Sought treatment for fever or rapid/difficult breathing</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 weeks, FEVTROTHDRUG indicates, in response to an open-ended question, whether the child received treatment from an informal drug or street vendor for this illness. 

A few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; a code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.

IPUMS-DHS users should be careful to distinguish FEVTROTHDRUG from FEVTRPUBDRUG (public drug sources) and FEVTRPRIVDRUG (private, formal drug sources).</txt>
  <concept>
    <title>Source for respiratory treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVTROTH" name="C_FEVTROTH" files="C" intrvl="discrete">
  <labl>Source of fever/cough treatment: Other</labl>
  <imputation>Source of fever/cough treatment: Other</imputation>
  <security>Source of fever/cough treatment: Other</security>
  <embargo>Source of fever/cough treatment: Other</embargo>
  <respUnit>Source of fever/cough treatment: Other</respUnit>
  <qstn>
    <qstnLit>459) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE I
CLINIC/HOSPITAL J
PHARMACY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, sought treatment at other source</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Sought treatment for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Sought treatment for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Sought treatment for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Sought treatment for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Sought treatment for cough and convulsions</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Sought treatment for convulsions</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Sought treatment for fever or rapid/difficult breathing</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 weeks, FEVTROTH (H32X) indicates, in response to an open-ended question, whether the child received treatment at some "other" source for this illness. The meaning of "other" varies depending on the specific categories included in a given sample. 

A few samples ask separately about treatment given for fever and treatment given for cough. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in composite coding. A first digit of 1 indicates the child received treatment from a given source, and the second digit indicates the child's illness. A code of "11" indicates the child received treatment for a fever; a code of "12" indicates the child received treatment for a cough; a code of "13" indicates the child received treatment for a fever or a cough; a code of "14" indicates the child received treatment for both a fever and a cough; a code of "15" indicates the child received treatment for a cough and convulsions; a code of "16" indicates the child received treatment for convulsions; code of "17" indicates the child received treatment for a fever or rapid/difficult breathing. See Comparability for more information.

IPUMS-DHS users should be careful to distinguish FEVTROTH from FEVTRPRIVOTH ("other" under the private medical sector) and FEVTRPUBOTH ("other" under the public sector).</txt>
  <concept>
    <title>Source for respiratory treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVTRNE4" name="C_FEVTRNE4" files="C" intrvl="discrete">
  <labl>Source of fever/cough treatment: Health center (public) (Niger)</labl>
  <imputation>Source of fever/cough treatment: Health center (public) (Niger)</imputation>
  <security>Source of fever/cough treatment: Health center (public) (Niger)</security>
  <embargo>Source of fever/cough treatment: Health center (public) (Niger)</embargo>
  <respUnit>Source of fever/cough treatment: Health center (public) (Niger)</respUnit>
  <qstn>
    <qstnLit>459) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE I
CLINIC/HOSPITAL J
PHARMACY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, sought treatment at health center</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Sought treatment for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Sought treatment for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Sought treatment for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Sought treatment for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Sought treatment for cough and convulsions</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Sought treatment for convulsions</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Sought treatment for fever or rapid/difficult breathing</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 weeks, FEVTRNE4 indicates, in response to an open-ended question, whether the child received treatment at a government health center for this illness. This response category is country-specific to Niger.

Some samples in the "FEVTR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

FEVTRNE4 is combined with FEVTRNE5 (maternal and child health center) in FEVTRPUBHC (all public health centers) for the 1992 Niger sample. 

Additionally, FEVTRNE4 is combined with FEVTRNE8 (family health center) in FEVTRPUBHC for the 2006 Niger sample.

IPUMS-DHS users interested in using FEVTRNE4 are encouraged to review FEVTRPUBHC for a more comprehensive response category.</txt>
  <concept>
    <title>Source for respiratory treatment, CS Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVTRNE5" name="C_FEVTRNE5" files="C" intrvl="discrete">
  <labl>Source of fever/cough treatment: Maternal and child health center (public) (Niger)</labl>
  <imputation>Source of fever/cough treatment: Maternal and child health center (public) (Niger)</imputation>
  <security>Source of fever/cough treatment: Maternal and child health center (public) (Niger)</security>
  <embargo>Source of fever/cough treatment: Maternal and child health center (public) (Niger)</embargo>
  <respUnit>Source of fever/cough treatment: Maternal and child health center (public) (Niger)</respUnit>
  <qstn>
    <qstnLit>459) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE I
CLINIC/HOSPITAL J
PHARMACY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, sought treatment at maternal and chld health center</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Sought treatment for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Sought treatment for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Sought treatment for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Sought treatment for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Sought treatment for cough and convulsions</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Sought treatment for convulsions</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Sought treatment for fever or rapid/difficult breathing</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 weeks, FEVTRNE5 indicates, in response to an open-ended question, whether the child received treatment at a maternal and child health center for this illness. This response category is country-specific to Niger.

Some samples in the "FEVTR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

FEVTRNE5 is combined with FEVTRNE4 (government health center) in FEVTRPUBHC (all public health centers) for the 1992 Niger sample. IPUMS-DHS users interested in using FEVTRNE5 are encouraged to review FEVTRPUBHC for a more comprehensive response category.</txt>
  <concept>
    <title>Source for respiratory treatment, CS Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVTRNE6" name="C_FEVTRNE6" files="C" intrvl="discrete">
  <labl>Source of fever/cough treatment: Pharmacy (private) (Niger)</labl>
  <imputation>Source of fever/cough treatment: Pharmacy (private) (Niger)</imputation>
  <security>Source of fever/cough treatment: Pharmacy (private) (Niger)</security>
  <embargo>Source of fever/cough treatment: Pharmacy (private) (Niger)</embargo>
  <respUnit>Source of fever/cough treatment: Pharmacy (private) (Niger)</respUnit>
  <qstn>
    <qstnLit>459) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE I
CLINIC/HOSPITAL J
PHARMACY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, sought treatment at pharmacy</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Sought treatment for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Sought treatment for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Sought treatment for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Sought treatment for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Sought treatment for cough and convulsions</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Sought treatment for convulsions</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Sought treatment for fever or rapid/difficult breathing</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 weeks, FEVTRNE6 indicates, in response to an open-ended question, whether the child received treatment at a private pharmacy for this illness. This response category is country-specific to Niger.

Some samples in the "FEVTR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

FEVTRNE6 is combined with FEVTRNE7 (private dispensary) in FEVTRPRIVDRUG (all private, formal drug sources) for the 1992 Niger sample. IPUMS-DHS users interested in using FEVTRNE6 are encouraged to review FEVTRPRIVDRUG for a more comprehensive response category.</txt>
  <concept>
    <title>Source for respiratory treatment, CS Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_FEVTRNE7" name="C_FEVTRNE7" files="C" intrvl="discrete">
  <labl>Source of fever/cough treatment: Dispensary (private) (Niger)</labl>
  <imputation>Source of fever/cough treatment: Dispensary (private) (Niger)</imputation>
  <security>Source of fever/cough treatment: Dispensary (private) (Niger)</security>
  <embargo>Source of fever/cough treatment: Dispensary (private) (Niger)</embargo>
  <respUnit>Source of fever/cough treatment: Dispensary (private) (Niger)</respUnit>
  <qstn>
    <qstnLit>459) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

PRIVATE DOCTOR'S OFFICE I
CLINIC/HOSPITAL J
PHARMACY K

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes, sought treatment at dispensary</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Sought treatment for fever</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Sought treatment for cough</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Sought treatment for fever or cough</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Sought treatment for fever and cough</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>Sought treatment for cough and convulsions</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>Sought treatment for convulsions</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>Sought treatment for fever or rapid/difficult breathing</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with a fever or cough in the past 2 weeks, FEVTRNE7 indicates, in response to an open-ended question, whether the child received treatment at a private dispensary for this illness. This response category is country-specific to Niger.

Some samples in the "FEVTR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

FEVTRNE7 is combined with FEVTRNE6 (private pharmacy) in FEVTRPRIVDRUG (all private, formal drug sources) for the 1992 Niger sample. IPUMS-DHS users interested in using FEVTRNE7 are encouraged to review FEVTRPRIVDRUG for a more comprehensive response category.</txt>
  <concept>
    <title>Source for respiratory treatment, CS Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIARRECENT" name="C_DIARRECENT" files="C" intrvl="discrete">
  <labl>Child had diarrhea recently</labl>
  <imputation>Child had diarrhea recently</imputation>
  <security>Child had diarrhea recently</security>
  <embargo>Child had diarrhea recently</embargo>
  <respUnit>Child had diarrhea recently</respUnit>
  <catgry>
    <catValu>10</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Yes, recently</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Yes, last 24 hours</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Yes, last 2-14 days</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Yes, last two weeks</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children under age 5, DIARRECENT (H11) indicates whether the child had diarrhea in the past 2 weeks. Question wording differences affect the comparability of DIARRECENT; see Comparability.</txt>
  <concept>
    <title>Diarrhea, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIADAYS" name="C_DIADAYS" files="C" intrvl="discrete">
  <labl>Days child's diarrhea lasted</labl>
  <imputation>Days child's diarrhea lasted</imputation>
  <security>Days child's diarrhea lasted</security>
  <embargo>Days child's diarrhea lasted</embargo>
  <respUnit>Days child's diarrhea lasted</respUnit>
  <qstn>
    <qstnLit>463) For how many days (did the diarrhea last/has the diarrhea lasted)?

IF LESS THAN A DAY, RECORD '00'.

DAYS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
    <labl>Less than 1 day</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90+</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children under age five who had diarrhea in the past 2 weeks, DIADAYS (H11A) reports the duration in days for which the last episode of diarrhea lasted.</txt>
  <concept>
    <title>Diarrhea, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIABLOODST" name="C_DIABLOODST" files="C" intrvl="discrete">
  <labl>Blood in child's stools during diarrhea</labl>
  <imputation>Blood in child's stools during diarrhea</imputation>
  <security>Blood in child's stools during diarrhea</security>
  <embargo>Blood in child's stools during diarrhea</embargo>
  <respUnit>Blood in child's stools during diarrhea</respUnit>
  <qstn>
    <qstnLit>464) Was there any blood in the stool?

YES 1
NO 2
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children under age five who had diarrhea in the past 2 weeks, DIABLOODST (H11B) indicates whether there was blood in the child's stools.</txt>
  <concept>
    <title>Diarrhea, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIABFEDAMT" name="C_DIABFEDAMT" files="C" intrvl="discrete">
  <labl>Specific change in breastfeeding when child had diarrhea</labl>
  <imputation>Specific change in breastfeeding when child had diarrhea</imputation>
  <security>Specific change in breastfeeding when child had diarrhea</security>
  <embargo>Specific change in breastfeeding when child had diarrhea</embargo>
  <respUnit>Specific change in breastfeeding when child had diarrhea</respUnit>
  <qstn>
    <qstnLit>467) Did you increase the number of breast feedings or reduce them, or did you stop completely?

INCREASED 1
REDUCED 2
STOPPED COMPLETELY 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Unchanged</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Increased</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Reduced</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Somewhat less</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Much less</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Stopped completely</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children under age 5 who had diarrhea and were still breastfed in the past 2 weeks, DIABFEDAMT (H18A) indicates whether the child was breastfed more, less, or the same amount as usual during the illness. Question wording and response categories vary across samples; see Comparability.</txt>
  <concept>
    <title>Diarrhea, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIAFLUIDUPDN" name="C_DIAFLUIDUPDN" files="C" intrvl="discrete">
  <labl>Child fed the same, more, or less fluid with diarrhea</labl>
  <imputation>Child fed the same, more, or less fluid with diarrhea</imputation>
  <security>Child fed the same, more, or less fluid with diarrhea</security>
  <embargo>Child fed the same, more, or less fluid with diarrhea</embargo>
  <respUnit>Child fed the same, more, or less fluid with diarrhea</respUnit>
  <qstn>
    <qstnLit>468) (Aside from breast milk) Was he/she given the same amount to drink as before the diarrhea, or more, or less?

SAME 1
MORE 2
LESS 3
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Same</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Increase</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Decrease</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Somewhat less</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Much less</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Nothing to drink</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children under age 5 who had diarrhea in the past 2 weeks, DIAFLUIDUPDN (H38) reports whether the child was given more, less, or the same amount of fluid as usual during the illness. Question wording differences limit the comparability of DIAFLUIDUPDN across samples; see Comparability.</txt>
  <concept>
    <title>Diarrhea, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIAFOODUPDN" name="C_DIAFOODUPDN" files="C" intrvl="discrete">
  <labl>Child got same, increased, or decreased food with diarrhea</labl>
  <imputation>Child got same, increased, or decreased food with diarrhea</imputation>
  <security>Child got same, increased, or decreased food with diarrhea</security>
  <embargo>Child got same, increased, or decreased food with diarrhea</embargo>
  <respUnit>Child got same, increased, or decreased food with diarrhea</respUnit>
  <qstn>
    <qstnLit>469) Did you give him/her the same amount to eat as before the diarrhea, or more, or less?

SAME 1
MORE 2
LESS 3
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Same</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Increase</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Decrease</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Somewhat less</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Much less</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>Stop entirely</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Never gave food</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children under age 5 who had diarrhea in the past 2 weeks, DIAFOODUPDN (H39) indicates whether the child was given more, less, or the same amount of food during the illness. Question wording differences limit the comparability of DIAFOODUPDN across samples; see Comparability.</txt>
  <concept>
    <title>Diarrhea, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIATREANY" name="C_DIATREANY" files="C" intrvl="discrete">
  <labl>Child received any treatment for diarrhea</labl>
  <imputation>Child received any treatment for diarrhea</imputation>
  <security>Child received any treatment for diarrhea</security>
  <embargo>Child received any treatment for diarrhea</embargo>
  <respUnit>Child received any treatment for diarrhea</respUnit>
  <qstn>
    <qstnLit>470) Was anything given to treat the diarrhea?

 YES 1
 NO 2 (GO TO 472)
 DON'T KNOW 8 (GO TO 472)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children under age 5 who had diarrhea in the past 2 weeks, DIATREANY (H21) is a summary variable indicating whether the child received any treatment for diarrhea.  Based on standard DHS variables H11 to H21, DIATREANY indicates whether the child was taken to a public or private facility/practitioner for treatment and/or was given some medication (which could include a homemade sugar-salt-water solution) to treat the illness.</txt>
  <concept>
    <title>Diarrhea, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIATRENONE" name="C_DIATRENONE" files="C" intrvl="discrete">
  <labl>Whether no treatment or advice sought for child's diarrhea</labl>
  <imputation>Whether no treatment or advice sought for child's diarrhea</imputation>
  <security>Whether no treatment or advice sought for child's diarrhea</security>
  <embargo>Whether no treatment or advice sought for child's diarrhea</embargo>
  <respUnit>Whether no treatment or advice sought for child's diarrhea</respUnit>
  <qstn>
    <qstnLit>472) Did you seek advice or treatment for the diarrhea?

YES 1
NO 2 (GO TO 474)</qstnLit>
  </qstn>
  <catgry>
    <labl>No, received treatment</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes, no treatment or advice sought</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children under age 5 who had diarrhea in the past 2 weeks, DIATRENONE (H12Y) indicates whether no treatment or advice was sought for the child's diarrhea.</txt>
  <concept>
    <title>Diarrhea, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIATREMEDFAC" name="C_DIATREMEDFAC" files="C" intrvl="discrete">
  <labl>Child taken to medical facility for diarrhea treatment</labl>
  <imputation>Child taken to medical facility for diarrhea treatment</imputation>
  <security>Child taken to medical facility for diarrhea treatment</security>
  <embargo>Child taken to medical facility for diarrhea treatment</embargo>
  <respUnit>Child taken to medical facility for diarrhea treatment</respUnit>
  <qstn>
    <qstnLit>472) Did you seek advice or treatment for the diarrhea?

YES 1
NO 2 (GO TO 474)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes, treatment at medical facility</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with diarrhea in the last two weeks, DIATREMEDFAC (H12Z) indicates whether they were taken to a medical facility for treatment. Based on standard DHS variables H12A to H12X, DIATREMEDFAC indicates whether the child was taken to any of the facilities listed under the "Public Sector" and "Medical Private Sector" headers, except for Pharmacy. The exact sources of treatment included in this grouping may vary across samples; see Comparability.</txt>
  <concept>
    <title>Diarrhea, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIAGIVANTIB" name="C_DIAGIVANTIB" files="C" intrvl="discrete">
  <labl>Child given antibiotics for diarrhea</labl>
  <imputation>Child given antibiotics for diarrhea</imputation>
  <security>Child given antibiotics for diarrhea</security>
  <embargo>Child given antibiotics for diarrhea</embargo>
  <respUnit>Child given antibiotics for diarrhea</respUnit>
  <qstn>
    <qstnLit>471) What was given or made to treat the diarrhea?

Anything else?

RECORD ALL MENTIONED.

 FLUID FROM ORS PACKET A
 RECOMMENDED HOME FLUID B
 ANTIBIOTIC PILL OR SYRUP C
 OTHER PILL OR SYRUP D
 INJECTION E
 (I.V.) INTRAVENOUS F
 HOME REMEDY/HERBAL MEDICINE G
 GUITTI/BAOURI H
 OTHER (SPECIFY): ___ I</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children under age 5 who had diarrhea in the past 2 weeks, DIAGIVANTIB (H15A) indicates, in response to an open-ended question, whether the child was given antibiotics to treat this illness.</txt>
  <concept>
    <title>Diarrhea, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIAGIVINJUNSPEC" name="C_DIAGIVINJUNSPEC" files="C" intrvl="discrete">
  <labl>Child given unspecified injection for diarrhea</labl>
  <imputation>Child given unspecified injection for diarrhea</imputation>
  <security>Child given unspecified injection for diarrhea</security>
  <embargo>Child given unspecified injection for diarrhea</embargo>
  <respUnit>Child given unspecified injection for diarrhea</respUnit>
  <qstn>
    <qstnLit>471) What was given or made to treat the diarrhea?

Anything else?

RECORD ALL MENTIONED.

 FLUID FROM ORS PACKET A
 RECOMMENDED HOME FLUID B
 ANTIBIOTIC PILL OR SYRUP C
 OTHER PILL OR SYRUP D
 INJECTION E
 (I.V.) INTRAVENOUS F
 HOME REMEDY/HERBAL MEDICINE G
 GUITTI/BAOURI H
 OTHER (SPECIFY): ___ I</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children under age 5 who had diarrhea in the past 2 weeks, DIAGIVINJUNSPEC indicates, in response to an open-ended question, whether the child was given an unknown injection to treat this illness.</txt>
  <concept>
    <title>Diarrhea, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIAGIVIV" name="C_DIAGIVIV" files="C" intrvl="discrete">
  <labl>Child given an IV for diarrhea</labl>
  <imputation>Child given an IV for diarrhea</imputation>
  <security>Child given an IV for diarrhea</security>
  <embargo>Child given an IV for diarrhea</embargo>
  <respUnit>Child given an IV for diarrhea</respUnit>
  <qstn>
    <qstnLit>471) What was given or made to treat the diarrhea?

Anything else?

RECORD ALL MENTIONED.

 FLUID FROM ORS PACKET A
 RECOMMENDED HOME FLUID B
 ANTIBIOTIC PILL OR SYRUP C
 OTHER PILL OR SYRUP D
 INJECTION E
 (I.V.) INTRAVENOUS F
 HOME REMEDY/HERBAL MEDICINE G
 GUITTI/BAOURI H
 OTHER (SPECIFY): ___ I</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children under age 5 who had diarrhea in the past 2 weeks, DIAGIVIV (H15C) indicates, in response to an open-ended question, whether the child was given an IV (intravenous fluids) to treat this illness.  The IV could have been used to deliver drugs and/or fluids to prevent dehydration and supply calories.</txt>
  <concept>
    <title>Diarrhea, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIAGIVPILSYR" name="C_DIAGIVPILSYR" files="C" intrvl="discrete">
  <labl>Child given pills or syrups (unspecified) for diarrhea</labl>
  <imputation>Child given pills or syrups (unspecified) for diarrhea</imputation>
  <security>Child given pills or syrups (unspecified) for diarrhea</security>
  <embargo>Child given pills or syrups (unspecified) for diarrhea</embargo>
  <respUnit>Child given pills or syrups (unspecified) for diarrhea</respUnit>
  <qstn>
    <qstnLit>471) What was given or made to treat the diarrhea?

Anything else?

RECORD ALL MENTIONED.

 FLUID FROM ORS PACKET A
 RECOMMENDED HOME FLUID B
 ANTIBIOTIC PILL OR SYRUP C
 OTHER PILL OR SYRUP D
 INJECTION E
 (I.V.) INTRAVENOUS F
 HOME REMEDY/HERBAL MEDICINE G
 GUITTI/BAOURI H
 OTHER (SPECIFY): ___ I</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children under age 5 who had diarrhea in the past 2 weeks, DIAGIVPILSYR (H15) indicates whether the child was given some unspecified other pills or syrup to treat this illness. The meaning of "other" depends on the specific medications included in a given survey,

For Phase 5 forward, the similar variable DIAGIVPILUNK reports whether the child was given an "unknown" type of pill or syrup to treat diarrhea.</txt>
  <concept>
    <title>Diarrhea, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIAGIVHERB" name="C_DIAGIVHERB" files="C" intrvl="discrete">
  <labl>Child given home remedy or herbal medicine for diarrhea</labl>
  <imputation>Child given home remedy or herbal medicine for diarrhea</imputation>
  <security>Child given home remedy or herbal medicine for diarrhea</security>
  <embargo>Child given home remedy or herbal medicine for diarrhea</embargo>
  <respUnit>Child given home remedy or herbal medicine for diarrhea</respUnit>
  <qstn>
    <qstnLit>471) What was given or made to treat the diarrhea?

Anything else?

RECORD ALL MENTIONED.

 FLUID FROM ORS PACKET A
 RECOMMENDED HOME FLUID B
 ANTIBIOTIC PILL OR SYRUP C
 OTHER PILL OR SYRUP D
 INJECTION E
 (I.V.) INTRAVENOUS F
 HOME REMEDY/HERBAL MEDICINE G
 GUITTI/BAOURI H
 OTHER (SPECIFY): ___ I</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children under age 5 who had diarrhea in the past 2 weeks, DIAGIVHERB (H15D) indicates, in response to an open-ended question, whether the child was given home remedies or herbal medicines to treat this illness.</txt>
  <concept>
    <title>Diarrhea, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIAGIVORS" name="C_DIAGIVORS" files="C" intrvl="discrete">
  <labl>Child given oral rehydration for diarrhea</labl>
  <imputation>Child given oral rehydration for diarrhea</imputation>
  <security>Child given oral rehydration for diarrhea</security>
  <embargo>Child given oral rehydration for diarrhea</embargo>
  <respUnit>Child given oral rehydration for diarrhea</respUnit>
  <qstn>
    <qstnLit>471) What was given or made to treat the diarrhea?

Anything else?

RECORD ALL MENTIONED.

 FLUID FROM ORS PACKET A
 RECOMMENDED HOME FLUID B
 ANTIBIOTIC PILL OR SYRUP C
 OTHER PILL OR SYRUP D
 INJECTION E
 (I.V.) INTRAVENOUS F
 HOME REMEDY/HERBAL MEDICINE G
 GUITTI/BAOURI H
 OTHER (SPECIFY): ___ I</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Yes, ORS - spontaneous</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Yes, ORS - probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children under age 5 who had diarrhea in the past 2 weeks, DIAGIVORS (H13) indicates whether the child was given a sugar-salt-water solution or oral rehydration solution (ORS) to treat this illness.</txt>
  <concept>
    <title>Diarrhea, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIAGIVORSDAYS" name="C_DIAGIVORSDAYS" files="C" intrvl="discrete">
  <labl>Days child given ORS for diarrhea treatment</labl>
  <imputation>Days child given ORS for diarrhea treatment</imputation>
  <security>Days child given ORS for diarrhea treatment</security>
  <embargo>Days child given ORS for diarrhea treatment</embargo>
  <respUnit>Days child given ORS for diarrhea treatment</respUnit>
  <qstn>
    <qstnLit>477) For how many days did (NAME) receive the liquid prepared from a special packet?

IF LESS THAN ONE DAY, RECORD '00'.

DAYS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Given at health facility</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with diarrhea in the last 2 weeks, DIAGIVORSDAYS (H13A) reports the number of days they were given an oral rehydration solution (ORS). 

The related variable DIAGIVORS (H13) indicates whether the young child was given ORS at all to treat the diarrhea.</txt>
  <concept>
    <title>Diarrhea, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIAGIVSOLUT" name="C_DIAGIVSOLUT" files="C" intrvl="discrete">
  <labl>Child given recommended home solution with salt and sugar for diarrhea</labl>
  <imputation>Child given recommended home solution with salt and sugar for diarrhea</imputation>
  <security>Child given recommended home solution with salt and sugar for diarrhea</security>
  <embargo>Child given recommended home solution with salt and sugar for diarrhea</embargo>
  <respUnit>Child given recommended home solution with salt and sugar for diarrhea</respUnit>
  <qstn>
    <qstnLit>471) What was given or made to treat the diarrhea?

Anything else?

RECORD ALL MENTIONED.

 FLUID FROM ORS PACKET A
 RECOMMENDED HOME FLUID B
 ANTIBIOTIC PILL OR SYRUP C
 OTHER PILL OR SYRUP D
 INJECTION E
 (I.V.) INTRAVENOUS F
 HOME REMEDY/HERBAL MEDICINE G
 GUITTI/BAOURI H
 OTHER (SPECIFY): ___ I</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneous</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <txt>For surviving children under age 5 who had diarrhea in the past 2 weeks, DIAGIVSOLUT (H14) indicates whether the child was given a recommended homemade solution to treat this illness.</txt>
  <concept>
    <title>Diarrhea, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIAGIVHOMSOLDAYS" name="C_DIAGIVHOMSOLDAYS" files="C" intrvl="discrete">
  <labl>Days child given recommended home solution for diarrhea</labl>
  <imputation>Days child given recommended home solution for diarrhea</imputation>
  <security>Days child given recommended home solution for diarrhea</security>
  <embargo>Days child given recommended home solution for diarrhea</embargo>
  <respUnit>Days child given recommended home solution for diarrhea</respUnit>
  <qstn>
    <qstnLit>480) For how many days did (NAME) receive liquid prepared with sugar, salt, and water when he/she had diarrhea?

DAYS: ___
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>DIAGIVHOMSOLDAYS (H14A) reports the number of days the young child was given a recommended homemade solution to treat a recent episode of diarrhea. 

The related variable DIAGIVSOLUT (H14) indicates whether the young child was given a homemade solution at all to treat the diarrhea.</txt>
  <concept>
    <title>Diarrhea, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIAGIVOTHER" name="C_DIAGIVOTHER" files="C" intrvl="discrete">
  <labl>Child given other treatment for diarrhea</labl>
  <imputation>Child given other treatment for diarrhea</imputation>
  <security>Child given other treatment for diarrhea</security>
  <embargo>Child given other treatment for diarrhea</embargo>
  <respUnit>Child given other treatment for diarrhea</respUnit>
  <qstn>
    <qstnLit>471) What was given or made to treat the diarrhea?

Anything else?

RECORD ALL MENTIONED.

 FLUID FROM ORS PACKET A
 RECOMMENDED HOME FLUID B
 ANTIBIOTIC PILL OR SYRUP C
 OTHER PILL OR SYRUP D
 INJECTION E
 (I.V.) INTRAVENOUS F
 HOME REMEDY/HERBAL MEDICINE G
 GUITTI/BAOURI H
 OTHER (SPECIFY): ___ I</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For young children with diarrhea in the past 2 weeks, DIAGIVOTHER (H20) indicates whether they were given some "other" treatment for this illness. The meaning of "other" depends on the types of diarrhea treatment specified in a given sample.</txt>
  <concept>
    <title>Diarrhea, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIAGIVNONE" name="C_DIAGIVNONE" files="C" intrvl="discrete">
  <labl>Child given nothing as treatment for diarrhea</labl>
  <imputation>Child given nothing as treatment for diarrhea</imputation>
  <security>Child given nothing as treatment for diarrhea</security>
  <embargo>Child given nothing as treatment for diarrhea</embargo>
  <respUnit>Child given nothing as treatment for diarrhea</respUnit>
  <qstn>
    <qstnLit>470) Was anything given to treat the diarrhea?

 YES 1
 NO 2 (GO TO 472)
 DON'T KNOW 8 (GO TO 472)</qstnLit>
  </qstn>
  <catgry>
    <labl>No, given some treatment</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes, nothing given as treatment</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children under age 5 who had diarrhea in the past 2 weeks, DIAGIVNONE (H21A) indicates whether the child was given no treatment for this illness.</txt>
  <concept>
    <title>Diarrhea, treatment Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIATRPRIVHOS" name="C_DIATRPRIVHOS" files="C" intrvl="discrete">
  <labl>Source of diarrhea treatment: Private hospital/clinic</labl>
  <imputation>Source of diarrhea treatment: Private hospital/clinic</imputation>
  <security>Source of diarrhea treatment: Private hospital/clinic</security>
  <embargo>Source of diarrhea treatment: Private hospital/clinic</embargo>
  <respUnit>Source of diarrhea treatment: Private hospital/clinic</respUnit>
  <qstn>
    <qstnLit>473) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL I
PHARMACY J
PRIVATE DOCTOR'S OFFICE K
PRIVATE CLINIC L

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children with diarrhea in the past 2 weeks, DIATRPRIVHOS (H12J) indicates, in response to an open-ended question, whether the child received treatment at a private hospital or clinic. 

Some samples in the "DIATR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of private hospitals that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in DIATRPRIVHOS.</txt>
  <concept>
    <title>Place for diarrhea treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIATRPRIVDR" name="C_DIATRPRIVDR" files="C" intrvl="discrete">
  <labl>Source of diarrhea treatment: Private doctor</labl>
  <imputation>Source of diarrhea treatment: Private doctor</imputation>
  <security>Source of diarrhea treatment: Private doctor</security>
  <embargo>Source of diarrhea treatment: Private doctor</embargo>
  <respUnit>Source of diarrhea treatment: Private doctor</respUnit>
  <qstn>
    <qstnLit>473) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL I
PHARMACY J
PRIVATE DOCTOR'S OFFICE K
PRIVATE CLINIC L

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children with diarrhea in the past 2 weeks, DIATRPRIVDR (H12L) indicates, in response to an open-ended question, whether the child received treatment from a private doctor. 

Some samples in the "DIATR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of private doctors that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in DIATPRIVDR.</txt>
  <concept>
    <title>Place for diarrhea treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIATRPRIVHL" name="C_DIATRPRIVHL" files="C" intrvl="discrete">
  <labl>Source of diarrhea treatment: Traditional Practitioner/Healer</labl>
  <imputation>Source of diarrhea treatment: Traditional Practitioner/Healer</imputation>
  <security>Source of diarrhea treatment: Traditional Practitioner/Healer</security>
  <embargo>Source of diarrhea treatment: Traditional Practitioner/Healer</embargo>
  <respUnit>Source of diarrhea treatment: Traditional Practitioner/Healer</respUnit>
  <qstn>
    <qstnLit>473) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL I
PHARMACY J
PRIVATE DOCTOR'S OFFICE K
PRIVATE CLINIC L

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children with diarrhea in the past 2 weeks, DIATRPRIVHL (H12T) indicates, in response to an open-ended question, whether the child received treatment from a traditional healer or practitioner. 

Some samples in the "DIATR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of traditional practitioners/healers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in DIATRPRIVHL.</txt>
  <concept>
    <title>Place for diarrhea treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIATRPRIVDRUG" name="C_DIATRPRIVDRUG" files="C" intrvl="discrete">
  <labl>Source of diarrhea treatment: Private pharmacy</labl>
  <imputation>Source of diarrhea treatment: Private pharmacy</imputation>
  <security>Source of diarrhea treatment: Private pharmacy</security>
  <embargo>Source of diarrhea treatment: Private pharmacy</embargo>
  <respUnit>Source of diarrhea treatment: Private pharmacy</respUnit>
  <qstn>
    <qstnLit>473) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL I
PHARMACY J
PRIVATE DOCTOR'S OFFICE K
PRIVATE CLINIC L

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q

*****

473) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL I
PHARMACY J
PRIVATE DOCTOR'S OFFICE K
PRIVATE CLINIC L

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children with diarrhea in the past 2 weeks, DIATRPRIVDRUG (H12K) indicates, in response to an open-ended question, whether the child received treatment at a private pharmacy, drug store, or dispensary. 

Some samples in the "DIATR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of private drug sources that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in DIATPRIVDRUG.

Users should be careful to distinguish this variable from DIATRPUBDRUG and DIATROTHDRUG, which refer to public drug sources and informal drug sources, respectively.</txt>
  <concept>
    <title>Place for diarrhea treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIATRPUBHOS" name="C_DIATRPUBHOS" files="C" intrvl="discrete">
  <labl>Source of diarrhea treatment: Public hospital</labl>
  <imputation>Source of diarrhea treatment: Public hospital</imputation>
  <security>Source of diarrhea treatment: Public hospital</security>
  <embargo>Source of diarrhea treatment: Public hospital</embargo>
  <respUnit>Source of diarrhea treatment: Public hospital</respUnit>
  <qstn>
    <qstnLit>473) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL I
PHARMACY J
PRIVATE DOCTOR'S OFFICE K
PRIVATE CLINIC L

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children with diarrhea in the past 2 weeks, DIATRPUBHOS (H12A) indicates, in response to an open-ended question, whether the child received treatment at a public hospital for this illness. 

Some samples in the "DIATR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public hospitals that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.</txt>
  <concept>
    <title>Place for diarrhea treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIATRPUBHC" name="C_DIATRPUBHC" files="C" intrvl="discrete">
  <labl>Source of diarrhea treatment: Public health center</labl>
  <imputation>Source of diarrhea treatment: Public health center</imputation>
  <security>Source of diarrhea treatment: Public health center</security>
  <embargo>Source of diarrhea treatment: Public health center</embargo>
  <respUnit>Source of diarrhea treatment: Public health center</respUnit>
  <qstn>
    <qstnLit>473) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL I
PHARMACY J
PRIVATE DOCTOR'S OFFICE K
PRIVATE CLINIC L

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children with diarrhea in the past 2 weeks, DIATRPUBHC (H12B) indicates, in response to an open-ended question, whether the child received treatment at a public health center for this illness.

Some samples in the "DIATR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public health centers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.</txt>
  <concept>
    <title>Place for diarrhea treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIATRPUBHP" name="C_DIATRPUBHP" files="C" intrvl="discrete">
  <labl>Source of diarrhea treatment: Health post (public)</labl>
  <imputation>Source of diarrhea treatment: Health post (public)</imputation>
  <security>Source of diarrhea treatment: Health post (public)</security>
  <embargo>Source of diarrhea treatment: Health post (public)</embargo>
  <respUnit>Source of diarrhea treatment: Health post (public)</respUnit>
  <qstn>
    <qstnLit>473) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL I
PHARMACY J
PRIVATE DOCTOR'S OFFICE K
PRIVATE CLINIC L

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children with diarrhea in the past 2 weeks, DIATRPUBHP (H12C) indicates, in response to an open-ended question, whether the child received treatment at a public health post for this illness. 

Some samples in the "DIATR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public health posts that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.</txt>
  <concept>
    <title>Place for diarrhea treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIATRPUBMOB" name="C_DIATRPUBMOB" files="C" intrvl="discrete">
  <labl>Source of diarrhea treatment: Mobile clinic (public)</labl>
  <imputation>Source of diarrhea treatment: Mobile clinic (public)</imputation>
  <security>Source of diarrhea treatment: Mobile clinic (public)</security>
  <embargo>Source of diarrhea treatment: Mobile clinic (public)</embargo>
  <respUnit>Source of diarrhea treatment: Mobile clinic (public)</respUnit>
  <qstn>
    <qstnLit>473) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL I
PHARMACY J
PRIVATE DOCTOR'S OFFICE K
PRIVATE CLINIC L

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children with diarrhea in the past 2 weeks, DIATRPUBMOB (H12D) indicates, in response to an open-ended question, whether the child received treatment from a public mobile clinic for this illness. 

Users should be careful to distinguish this variable from DIATRPRIVMOB ("fieldworker" under the private medical sector category).</txt>
  <concept>
    <title>Place for diarrhea treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIATRPUBFW" name="C_DIATRPUBFW" files="C" intrvl="discrete">
  <labl>Source of diarrhea treatment: Fieldworker (public)</labl>
  <imputation>Source of diarrhea treatment: Fieldworker (public)</imputation>
  <security>Source of diarrhea treatment: Fieldworker (public)</security>
  <embargo>Source of diarrhea treatment: Fieldworker (public)</embargo>
  <respUnit>Source of diarrhea treatment: Fieldworker (public)</respUnit>
  <qstn>
    <qstnLit>473) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL I
PHARMACY J
PRIVATE DOCTOR'S OFFICE K
PRIVATE CLINIC L

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children with diarrhea in the past 2 weeks, DIATRPUBFW (H12E) indicates, in response to an open-ended question, whether the child received treatment from a public fieldworker for this illness. 

Users should be careful to distinguish this variable from DIATRPRIVFW ("fieldworker" under the private medical sector category).

Some samples in the "DIATR" series include categories that can be consolidated into a single response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of public fieldworkers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in this variable.</txt>
  <concept>
    <title>Place for diarrhea treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIATRPUBDRUG" name="C_DIATRPUBDRUG" files="C" intrvl="discrete">
  <labl>Source of diarrhea treatment: Dispensary (public)</labl>
  <imputation>Source of diarrhea treatment: Dispensary (public)</imputation>
  <security>Source of diarrhea treatment: Dispensary (public)</security>
  <embargo>Source of diarrhea treatment: Dispensary (public)</embargo>
  <respUnit>Source of diarrhea treatment: Dispensary (public)</respUnit>
  <qstn>
    <qstnLit>473) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL I
PHARMACY J
PRIVATE DOCTOR'S OFFICE K
PRIVATE CLINIC L

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For surviving children with diarrhea in the past 2 weeks, DIATRPUBDRUG indicates, in response to an open-ended question, whether the child received treatment at a public pharmacy or dispensary for this illness. 

Users should be careful to distinguish this variable from DIATRPRIVDRUG and DIATROTHDRUG, which refer to private drug sources and informal drug sources, respectively.

Some samples that included pharmacy or dispensary as a potential source of treatment were not added to DIATRPUBDRUG due to comparability issues. IPUMS-DHS users are encouraged to review the Comparability tab for more information on these samples.</txt>
  <concept>
    <title>Place for diarrhea treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIATRSHOP" name="C_DIATRSHOP" files="C" intrvl="discrete">
  <labl>Source of diarrhea treatment: Shop/market</labl>
  <imputation>Source of diarrhea treatment: Shop/market</imputation>
  <security>Source of diarrhea treatment: Shop/market</security>
  <embargo>Source of diarrhea treatment: Shop/market</embargo>
  <respUnit>Source of diarrhea treatment: Shop/market</respUnit>
  <qstn>
    <qstnLit>473) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL I
PHARMACY J
PRIVATE DOCTOR'S OFFICE K
PRIVATE CLINIC L

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children with diarrhea in the past 2 weeks, DIATRSHOP (H12S) indicates, in response to an open-ended question, whether the child received treatment from a shop. 

Some samples in the "DIATR" series include categories that can be consolidated into a single response. IPUMS DHS uses supplemental programming to combine these responses in a standard variable while preserving the separate responses in country-specific variables.

For example, a given sample might include multiple categories for different types of shops/retailers that could be combined to create a more comprehensive response category. See Comparability for more information on the specific categories combined in DIATRSHOP.</txt>
  <concept>
    <title>Place for diarrhea treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIATROTHDRUG" name="C_DIATROTHDRUG" files="C" intrvl="discrete">
  <labl>Source of diarrhea treatment: Drug vendor, informal</labl>
  <imputation>Source of diarrhea treatment: Drug vendor, informal</imputation>
  <security>Source of diarrhea treatment: Drug vendor, informal</security>
  <embargo>Source of diarrhea treatment: Drug vendor, informal</embargo>
  <respUnit>Source of diarrhea treatment: Drug vendor, informal</respUnit>
  <qstn>
    <qstnLit>473) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL I
PHARMACY J
PRIVATE DOCTOR'S OFFICE K
PRIVATE CLINIC L

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children with diarrhea in the past 2 weeks, DIATROTHDRUG indicates, in response to an open-ended question, whether the child received treatment from an informal drug or street vendor. 

IPUMS-DHS users should be careful to distinguish this variable from DIATRPUBDRUG and DIATRPRIVDRUG, country-specific variables that refer to public drug sources and private, formal drug sources, respectively.</txt>
  <concept>
    <title>Place for diarrhea treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIATRFRND" name="C_DIATRFRND" files="C" intrvl="discrete">
  <labl>Source of diarrhea treatment: Friend/relative/neighbor</labl>
  <imputation>Source of diarrhea treatment: Friend/relative/neighbor</imputation>
  <security>Source of diarrhea treatment: Friend/relative/neighbor</security>
  <embargo>Source of diarrhea treatment: Friend/relative/neighbor</embargo>
  <respUnit>Source of diarrhea treatment: Friend/relative/neighbor</respUnit>
  <qstn>
    <qstnLit>473) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL I
PHARMACY J
PRIVATE DOCTOR'S OFFICE K
PRIVATE CLINIC L

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children with diarrhea in the past 2 weeks, DIATRFRND indicates, in response to an open-ended question, whether the child received treatment from a friend, neighbor, and/or relative.</txt>
  <concept>
    <title>Place for diarrhea treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIATROTH" name="C_DIATROTH" files="C" intrvl="discrete">
  <labl>Source of diarrhea treatment: Other</labl>
  <imputation>Source of diarrhea treatment: Other</imputation>
  <security>Source of diarrhea treatment: Other</security>
  <embargo>Source of diarrhea treatment: Other</embargo>
  <respUnit>Source of diarrhea treatment: Other</respUnit>
  <qstn>
    <qstnLit>473) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL I
PHARMACY J
PRIVATE DOCTOR'S OFFICE K
PRIVATE CLINIC L

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children with diarrhea in the past 2 weeks, DIATROTH (H12X) indicates, in response to an open-ended question, whether the child received treatment at some "other" source. The meaning of "other" depends on the specific response categories included in a given sample. IPUMS-DHS users are encouraged to review the Survey Text tab to better discern the exact meaning of "other" for samples of interest.

Users should be careful to distinguish this variable from DIATRPUBOTH ("other" under the public medical sector) and DIATRPRIVOTH ("other" under the private medical sector). DIATROTH includes those "other" categories that do not fit into the public or private medical sector.</txt>
  <concept>
    <title>Place for diarrhea treatment, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIATRNE4" name="C_DIATRNE4" files="C" intrvl="discrete">
  <labl>Source of diarrhea treatment: Pharmacy (private) (Niger)</labl>
  <imputation>Source of diarrhea treatment: Pharmacy (private) (Niger)</imputation>
  <security>Source of diarrhea treatment: Pharmacy (private) (Niger)</security>
  <embargo>Source of diarrhea treatment: Pharmacy (private) (Niger)</embargo>
  <respUnit>Source of diarrhea treatment: Pharmacy (private) (Niger)</respUnit>
  <qstn>
    <qstnLit>473) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL I
PHARMACY J
PRIVATE DOCTOR'S OFFICE K
PRIVATE CLINIC L

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children with diarrhea in the past 2 weeks, DIATRNE4 indicates, in response to an open-ended question, whether the child received treatment from a private pharmacy. This response category is country-specific to Niger.

Some samples in the "DIATR" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

DIATRNE4 is combined with DIATRNE5 (Private dispensary) in DIATRPRIVDRUG (all private formal drug sources) for the 1992 Niger sample. IPUMS-DHS users interested in using DIATRNE4 are encouraged to review DIATRPRIVDRUG for a more comprehensive response category.</txt>
  <concept>
    <title>Place for diarrhea treatment, CS Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIATRNE5" name="C_DIATRNE5" files="C" intrvl="discrete">
  <labl>Source of diarrhea treatment: Dispensary (private) (Niger)</labl>
  <imputation>Source of diarrhea treatment: Dispensary (private) (Niger)</imputation>
  <security>Source of diarrhea treatment: Dispensary (private) (Niger)</security>
  <embargo>Source of diarrhea treatment: Dispensary (private) (Niger)</embargo>
  <respUnit>Source of diarrhea treatment: Dispensary (private) (Niger)</respUnit>
  <qstn>
    <qstnLit>473) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL I
PHARMACY J
PRIVATE DOCTOR'S OFFICE K
PRIVATE CLINIC L

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children with diarrhea in the past 2 weeks, DIATRNE5 indicates, in response to an open-ended question, whether the child received treatment from a private dispensary. This response category is country-specific to Niger.

Some samples in the "DIATR" series include multiple categories that can be consolidated into a single broad response. IPUMS-DHS uses supplemental programming to combine these responses in a standard variable, while also preserving the separate responses in country-specific variables.

DIATRNE5 is combined with DIATRNE4 (Private pharmacy) in DIATRPRIVDRUG (all private formal drug sources) for the 1992 Niger sample. IPUMS-DHS users interested in using DIATRNE5 are encouraged to review DIATRPRIVDRUG for a more comprehensive response category.</txt>
  <concept>
    <title>Place for diarrhea treatment, CS Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIATRNE6" name="C_DIATRNE6" files="C" intrvl="discrete">
  <labl>Source of diarrhea treatment: Maternal and Infant Profection center (public) (Niger)</labl>
  <imputation>Source of diarrhea treatment: Maternal and Infant Profection center (public) (Niger)</imputation>
  <security>Source of diarrhea treatment: Maternal and Infant Profection center (public) (Niger)</security>
  <embargo>Source of diarrhea treatment: Maternal and Infant Profection center (public) (Niger)</embargo>
  <respUnit>Source of diarrhea treatment: Maternal and Infant Profection center (public) (Niger)</respUnit>
  <qstn>
    <qstnLit>473) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL I
PHARMACY J
PRIVATE DOCTOR'S OFFICE K
PRIVATE CLINIC L

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children with diarrhea in the past 2 weeks, DIATRNE6 indicates, in response to an open-ended question, whether the child received treatment from a Maternal and Infant Protection center (translated from "Protection Maternelle et Infantile" (PMI)). This response category is country-specific to Niger.</txt>
  <concept>
    <title>Place for diarrhea treatment, CS Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_DIATRNE7" name="C_DIATRNE7" files="C" intrvl="discrete">
  <labl>Source of diarrhea treatment: Maternity center (public) (Niger)</labl>
  <imputation>Source of diarrhea treatment: Maternity center (public) (Niger)</imputation>
  <security>Source of diarrhea treatment: Maternity center (public) (Niger)</security>
  <embargo>Source of diarrhea treatment: Maternity center (public) (Niger)</embargo>
  <respUnit>Source of diarrhea treatment: Maternity center (public) (Niger)</respUnit>
  <qstn>
    <qstnLit>473) Where did you seek advice or treatment?

Anyone else?

RECORD ALL MENTIONED.

PUBLIC SECTOR

HOSPITAL A
MEDICAL CENTER B
MOTHER AND CHILD CARE CENTER C
DISPENSARY D
MATERNITY WARD E
PEOPLE'S PHARMACY F
MOBILE CLINIC G
FIRST-AID WORKER H

PRIVATE MEDICAL SECTOR

CLINIC/HOSPITAL I
PHARMACY J
PRIVATE DOCTOR'S OFFICE K
PRIVATE CLINIC L

OTHER PRIVATE SECTOR

PHARMACEUTICAL WAREHOUSE M
SHOP/MARKET N
TRADITIONAL HEALER O
NEIGHBOR/RELATIVE P

OTHER (SPECIFY): ___ Q</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children with diarrhea in the past 2 weeks, DIATRNE7 indicates, in response to an open-ended question, whether the child received treatment from a maternity center. This response category is country-specific to Niger.</txt>
  <concept>
    <title>Place for diarrhea treatment, CS Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_HEALTHCARDKID" name="C_HEALTHCARDKID" files="C" intrvl="discrete">
  <labl>Child has health card</labl>
  <imputation>Child has health card</imputation>
  <security>Child has health card</security>
  <embargo>Child has health card</embargo>
  <respUnit>Child has health card</respUnit>
  <qstn>
    <qstnLit>442) Do you have a booklet or card where (NAME)'s vaccinations are written down?

IF YES: May I see it, please?

YES, SEEN 1 (GO TO 444)
YES, NOT SEEN 2 (GO TO 446)
NO CARD 3</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>No card</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>No longer has card</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Yes, currently has card</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Yes, card seen</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Yes, card not seen</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Yes, card seen from health facility</labl>
  </catgry>
  <txt>HEALTHCARDKID (H1) indicates whether the child had a health card and, if so, whether the card was seen by the interviewer. Child health cards were examined to determine whether and, if so, when, the child received specific vaccinations.</txt>
  <concept>
    <title>Child vaccination, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACEV" name="C_VACEV" files="C" intrvl="discrete">
  <labl>Child received any vaccination (if no health card)</labl>
  <imputation>Child received any vaccination (if no health card)</imputation>
  <security>Child received any vaccination (if no health card)</security>
  <embargo>Child received any vaccination (if no health card)</embargo>
  <respUnit>Child received any vaccination (if no health card)</respUnit>
  <qstn>
    <qstnLit>446) Did (NAME) ever receive any vaccinations to prevent him/her from getting diseases?

YES 1
NO 2 (GO TO 448)
DON'T KNOW 8 (GO TO 448)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Less than 3 months</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the 3 to 5 years before the survey, VACEV (H10) indicates whether the young child had received any vaccination. This variable generally relates to children who did not have a health card, the preferred source of documentation on vaccinations. 

If no health card was shown, the interviewer asked whether the child had any vaccinations (documented in VACEV), and, if the answer was yes, asked about specific types of vaccinations.  Note that VACEV is not a summary variable for all questions relating to vaccinations; rather, VACEV serves as a filter variable during the interview for children lacking health cards.</txt>
  <concept>
    <title>Child vaccination, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACOPV0" name="C_VACOPV0" files="C" intrvl="discrete">
  <labl>Child received oral polio 0 vaccination</labl>
  <imputation>Child received oral polio 0 vaccination</imputation>
  <security>Child received oral polio 0 vaccination</security>
  <embargo>Child received oral polio 0 vaccination</embargo>
  <respUnit>Child received oral polio 0 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Yes, any information source</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Yes, from vac card</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Yes, date on vaccination card</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Yes, from vac card w/out date</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Yes, from mother's report</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the 3 to 5 years before the survey, VACOPV0 (H0) indicates whether the child has received an oral polio vaccine (OPV) dose at or near birth (sometimes called "polio 0"). The birth dose of the oral polio vaccine is administered as drops in the mouth. 

The oral polio vaccination primary series usually consists of a birth dose and 3 additional administrations. The complementary variables VACOPV1 (H4), VACOPV2 (H6), and VACOPV3 (H8) report the first, second, and third administrations, respectively.

VACOPV0 uses composite coding, with a first digit of 2 indicating the child has been vaccinated, and the second digit indicating the source of information (a dated entry on the vaccination card, an undated mark on the vaccination card, or the mother's report).</txt>
  <concept>
    <title>Polio vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACOPV0DAY" name="C_VACOPV0DAY" files="C" intrvl="discrete">
  <labl>Day child received oral polio 0 vaccination</labl>
  <imputation>Day child received oral polio 0 vaccination</imputation>
  <security>Day child received oral polio 0 vaccination</security>
  <embargo>Day child received oral polio 0 vaccination</embargo>
  <respUnit>Day child received oral polio 0 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACOPV0DAY (H0D) reports the day of the month that children received their birth dose of the oral polio vaccination. This information is only available for children born in the 3 to 5 years before the survey whose birth dose of the oral polio vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACOPV0MO (H0M) and VACOPV0YR (H0Y) report the month and the year of the birth dose of the oral polio vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the birth dose of the oral polio vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACOPV0 (H0).</txt>
  <concept>
    <title>Polio vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACOPV0MO" name="C_VACOPV0MO" files="C" intrvl="discrete">
  <labl>Month child received oral polio 0 vaccination</labl>
  <imputation>Month child received oral polio 0 vaccination</imputation>
  <security>Month child received oral polio 0 vaccination</security>
  <embargo>Month child received oral polio 0 vaccination</embargo>
  <respUnit>Month child received oral polio 0 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACOPV0MO (H0M) reports the month that children received their birth dose of the oral polio vaccination. This information is only available for children born in the 3 to 5 years before the survey whose birth dose of the oral polio vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACOPV0DAY (H0D) and VACOPV0YR (H0Y) report the day of the month and the year of the birth dose of the oral polio vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the birth dose of the oral polio vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACOPV0 (H0).</txt>
  <concept>
    <title>Polio vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACOPV0YR" name="C_VACOPV0YR" files="C" intrvl="discrete">
  <labl>Year child received oral polio 0 vaccination</labl>
  <imputation>Year child received oral polio 0 vaccination</imputation>
  <security>Year child received oral polio 0 vaccination</security>
  <embargo>Year child received oral polio 0 vaccination</embargo>
  <respUnit>Year child received oral polio 0 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>2018</catValu>
    <labl>2018</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>2017</labl>
  </catgry>
  <txt>VACOPV0YR (H0Y) reports the year that children received their birth dose of the oral polio vaccination. This information is only available for children born in the 3 to 5 years before the survey whose birth dose of the oral polio vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACOPV0DAY (H0D) and VACOPV0MO (H0M) report the day of the month and the month of the birth dose of the oral polio vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the birth dose of the oral polio vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACOPV0 (H0).</txt>
  <concept>
    <title>Polio vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACOPV1" name="C_VACOPV1" files="C" intrvl="discrete">
  <labl>Child received oral polio 1 vaccination</labl>
  <imputation>Child received oral polio 1 vaccination</imputation>
  <security>Child received oral polio 1 vaccination</security>
  <embargo>Child received oral polio 1 vaccination</embargo>
  <respUnit>Child received oral polio 1 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Yes, any information source</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Yes, from vac card</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Yes, date on vaccination card</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Yes, from vac card w/out date</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Yes, from mother's report</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the 3 to 5 years before the survey, VACOPV1 (H4) indicates whether the child has received the first in a series of oral polio vaccines. 

The oral polio vaccination primary series usually consists of a birth dose and 3 additional administrations. The complementary variables VACOPV0 (H0), VACOPV2 (H6), and VACOPV3 (H8) report the birth, second, and third administrations, respectively.

VACOPV1 uses composite coding, with a first digit of 2 indicating the child has been vaccinated and the second digit indicating the source of information (a dated entry on the vaccination card, an undated mark on the vaccination card, or the mother's report).</txt>
  <concept>
    <title>Polio vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACOPV1DAY" name="C_VACOPV1DAY" files="C" intrvl="discrete">
  <labl>Day child received oral polio 1 vaccination</labl>
  <imputation>Day child received oral polio 1 vaccination</imputation>
  <security>Day child received oral polio 1 vaccination</security>
  <embargo>Day child received oral polio 1 vaccination</embargo>
  <respUnit>Day child received oral polio 1 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACOPV1DAY (H4D) reports the day of the month that children received their first oral polio vaccination. This information is only available for children born in the 3 to 5 years before the survey whose first oral polio vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACOPV1MO (H4M) and VACOPV1YR (H4Y) report the month and the year of the first oral polio vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the first oral polio vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACOPV1 (H4).</txt>
  <concept>
    <title>Polio vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACOPV1MO" name="C_VACOPV1MO" files="C" intrvl="discrete">
  <labl>Month child received oral polio 1 vaccination</labl>
  <imputation>Month child received oral polio 1 vaccination</imputation>
  <security>Month child received oral polio 1 vaccination</security>
  <embargo>Month child received oral polio 1 vaccination</embargo>
  <respUnit>Month child received oral polio 1 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACOPV1MO (H4M) reports the month that children received their first oral polio vaccination. This information is only available for children born in the 3 to 5 years before the survey whose first oral polio vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACOPV1DAY (H4D) and VACOPV1YR (H4Y) report the day of the month and the year of the first oral polio vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the first oral polio vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACOPV1 (H4).</txt>
  <concept>
    <title>Polio vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACOPV1YR" name="C_VACOPV1YR" files="C" intrvl="discrete">
  <labl>Year child received oral polio 1 vaccination</labl>
  <imputation>Year child received oral polio 1 vaccination</imputation>
  <security>Year child received oral polio 1 vaccination</security>
  <embargo>Year child received oral polio 1 vaccination</embargo>
  <respUnit>Year child received oral polio 1 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>2018</catValu>
    <labl>2018</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>2017</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <txt>VACOPV1YR (H4Y) reports the year that children received their first oral polio vaccination. This information is only available for children born in the 3 to 5 years before the survey whose first oral polio vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACOPV1DAY (H4D) and VACOPV1MO (H4M) report the day of the month and the month of the first oral polio vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the first oral polio vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACOPV1 (H4).</txt>
  <concept>
    <title>Polio vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACOPV2" name="C_VACOPV2" files="C" intrvl="discrete">
  <labl>Child received oral polio 2 vaccination</labl>
  <imputation>Child received oral polio 2 vaccination</imputation>
  <security>Child received oral polio 2 vaccination</security>
  <embargo>Child received oral polio 2 vaccination</embargo>
  <respUnit>Child received oral polio 2 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Yes, any information source</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Yes, from vac card</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Yes, date on vaccination card</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Yes, from vac card w/out date</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Yes, from mother's report</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the 3 to 5 years before the survey, VACOPV2 (H6) indicates whether the child has received the second in a series of oral polio vaccines. 

The oral polio vaccination primary series usually consists of a birth dose and 3 additional administrations. The complementary variables VACOPV0 (H0), VACOPV1 (H4), and VACOPV3 (H8) report the birth, first, and third administrations, respectively.

VACOPV2 uses composite coding, with a first digit of 2 indicating the child has been vaccinated and the second digit indicating the source of information (a dated entry on the vaccination card, an undated mark on the vaccination card, or the mother's report).</txt>
  <concept>
    <title>Polio vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACOPV2DAY" name="C_VACOPV2DAY" files="C" intrvl="discrete">
  <labl>Day child received oral polio 2 vaccination</labl>
  <imputation>Day child received oral polio 2 vaccination</imputation>
  <security>Day child received oral polio 2 vaccination</security>
  <embargo>Day child received oral polio 2 vaccination</embargo>
  <respUnit>Day child received oral polio 2 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACOPV2DAY (H6D) reports the day of the month that children received their second oral polio vaccination. This information is only available for children born in the 3 to 5 years before the survey whose second oral polio vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACOPV2MO (H6M) and VACOPV2YR (H6Y) report the month and the year of the second oral polio vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the second oral polio vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACOPV2 (H6).</txt>
  <concept>
    <title>Polio vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACOPV2MO" name="C_VACOPV2MO" files="C" intrvl="discrete">
  <labl>Month child received oral polio 2 vaccination</labl>
  <imputation>Month child received oral polio 2 vaccination</imputation>
  <security>Month child received oral polio 2 vaccination</security>
  <embargo>Month child received oral polio 2 vaccination</embargo>
  <respUnit>Month child received oral polio 2 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACOPV2MO (H6M) reports the month that children received their second oral polio vaccination. This information is only available for children born in the 3 to 5 years before the survey whose second oral polio vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACOPV2DAY (H6D) and VACOPV2YR (H6Y) report the day of the month and the year of the second oral polio vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the second oral polio vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACOPV2 (H6).</txt>
  <concept>
    <title>Polio vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACOPV2YR" name="C_VACOPV2YR" files="C" intrvl="discrete">
  <labl>Year child received oral polio 2 vaccination</labl>
  <imputation>Year child received oral polio 2 vaccination</imputation>
  <security>Year child received oral polio 2 vaccination</security>
  <embargo>Year child received oral polio 2 vaccination</embargo>
  <respUnit>Year child received oral polio 2 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>2018</catValu>
    <labl>2018</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>2017</labl>
  </catgry>
  <txt>VACOPV2YR (H6Y) reports the year that children received their second oral polio vaccination. This information is only available for children born in the 3 to 5 years before the survey whose second oral polio vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACOPV2DAY (H6D) and VACOPV2MO (H6M) report the day of the month and the month of the second oral polio vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the second oral polio vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACOPV2 (H6).</txt>
  <concept>
    <title>Polio vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACOPV3" name="C_VACOPV3" files="C" intrvl="discrete">
  <labl>Child received oral polio 3 vaccination</labl>
  <imputation>Child received oral polio 3 vaccination</imputation>
  <security>Child received oral polio 3 vaccination</security>
  <embargo>Child received oral polio 3 vaccination</embargo>
  <respUnit>Child received oral polio 3 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Yes, any information source</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Yes, from vaccination card</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Yes, date on vaccination card</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Yes, from vac card w/out date</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Yes, from mother's report</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the 3 to 5 years before the survey, VACOPV3 (H8) indicates whether the child has received the third in a series of oral polio vaccines. 

The oral polio vaccination primary series usually consists of a birth dose and 3 additional administrations. The complementary variables VACOPV0 (H0), VACOPV1 (H4), and VACOPV2 (H6) report the birth, first, and second administrations, respectively.

VACOPV3 uses composite coding, with a first digit of 2 indicating the child has been vaccinated and the second digit indicating the source of information (a dated entry on the vaccination card, an undated mark on the vaccination card, or the mother's report).</txt>
  <concept>
    <title>Polio vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACOPV3DAY" name="C_VACOPV3DAY" files="C" intrvl="discrete">
  <labl>Day child received polio 3 vaccination</labl>
  <imputation>Day child received polio 3 vaccination</imputation>
  <security>Day child received polio 3 vaccination</security>
  <embargo>Day child received polio 3 vaccination</embargo>
  <respUnit>Day child received polio 3 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACOPV3DAY (H8D) reports the day of the month that children received their third oral polio vaccination. This information is only available for children born in the 3 to 5 years before the survey whose third oral polio vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACOPV3MO (H8M) and VACOPV3YR (H8Y) report the month and the year of the third oral polio vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the third oral polio vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACOPV3 (H8).</txt>
  <concept>
    <title>Polio vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACOPV3MO" name="C_VACOPV3MO" files="C" intrvl="discrete">
  <labl>Month child received oral polio 3 vaccination</labl>
  <imputation>Month child received oral polio 3 vaccination</imputation>
  <security>Month child received oral polio 3 vaccination</security>
  <embargo>Month child received oral polio 3 vaccination</embargo>
  <respUnit>Month child received oral polio 3 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACOPV3MO (H8M) reports the month that children received their third oral polio vaccination. This information is only available for children born in the 3 to 5 years before the survey whose third oral polio vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACOPV3DAY (H8D) and VACOPV3YR (H8Y) report the day of the month and the year of the third oral polio vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the third oral polio vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACOPV3 (H8).</txt>
  <concept>
    <title>Polio vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACOPV3YR" name="C_VACOPV3YR" files="C" intrvl="discrete">
  <labl>Year child received oral polio 3 vaccination</labl>
  <imputation>Year child received oral polio 3 vaccination</imputation>
  <security>Year child received oral polio 3 vaccination</security>
  <embargo>Year child received oral polio 3 vaccination</embargo>
  <respUnit>Year child received oral polio 3 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>2018</catValu>
    <labl>2018</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>2017</labl>
  </catgry>
  <txt>VACOPV3YR (H8Y) reports the year that children received their third oral polio vaccination. This information is only available for children born in the 3 to 5 years before the survey whose third oral polio vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACOPV3DAY (H8D) and VACOPV3MO (H8M) report the day of the month and the month of the third oral polio vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the third oral polio vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACOPV3 (H8).</txt>
  <concept>
    <title>Polio vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACIMOVAX1" name="C_VACIMOVAX1" files="C" intrvl="discrete">
  <labl>Child received Imovax (polio) 1 vaccination</labl>
  <imputation>Child received Imovax (polio) 1 vaccination</imputation>
  <security>Child received Imovax (polio) 1 vaccination</security>
  <embargo>Child received Imovax (polio) 1 vaccination</embargo>
  <respUnit>Child received Imovax (polio) 1 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Yes, any information source</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Yes, from vac card</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Yes, date on vaccination card</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Yes, from vac card w/out date</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Yes, from mother's report</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the 3 to 5 years before the survey, VACIMOVAX1 indicates whether the child has received the first in a series of Imovax vaccinations. The Imovax vaccine is an inactivated polio vaccine (IPV). 

The Imovax vaccination primary series usually consists of 2 administrations, and the complementary variable VACIMOVAX2 reports the second administration.

VACIMOVAX1 uses composite coding, with a first digit of 2 indicating the child has been vaccinated and the second digit indicating the source of information (a dated entry on the vaccination card, an undated mark on the vaccination card, or the mother's report).</txt>
  <concept>
    <title>Polio vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACIMOVAX1DAY" name="C_VACIMOVAX1DAY" files="C" intrvl="discrete">
  <labl>Day child received Imovax (polio) 1 vaccination</labl>
  <imputation>Day child received Imovax (polio) 1 vaccination</imputation>
  <security>Day child received Imovax (polio) 1 vaccination</security>
  <embargo>Day child received Imovax (polio) 1 vaccination</embargo>
  <respUnit>Day child received Imovax (polio) 1 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACIMOVAX1DAY reports the day of the month that children received their first Imovax vaccination. This information is only available for children born in the 3 to 5 years before the survey whose first Imovax vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACIMOVAX1MO and VACIMOVAX1YR report the month and the year of the first Imovax vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the first Imovax vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACIMOVAX1.</txt>
  <concept>
    <title>Polio vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACIMOVAX1MO" name="C_VACIMOVAX1MO" files="C" intrvl="discrete">
  <labl>Month child received Imovax (polio) 1 vaccination</labl>
  <imputation>Month child received Imovax (polio) 1 vaccination</imputation>
  <security>Month child received Imovax (polio) 1 vaccination</security>
  <embargo>Month child received Imovax (polio) 1 vaccination</embargo>
  <respUnit>Month child received Imovax (polio) 1 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACIMOVAX1MO reports the month that children received their first Imovax vaccination. This information is only available for children born in the 3 to 5 years before the survey whose first Imovax vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACIMOVAX1DAY and VACIMOVAX1YR report the day of the month and the year of the first Imovax vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the first Imovax vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACIMOVAX1.</txt>
  <concept>
    <title>Polio vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACIMOVAX1YR" name="C_VACIMOVAX1YR" files="C" intrvl="discrete">
  <labl>Year child received Imovax (polio) 1 vaccination</labl>
  <imputation>Year child received Imovax (polio) 1 vaccination</imputation>
  <security>Year child received Imovax (polio) 1 vaccination</security>
  <embargo>Year child received Imovax (polio) 1 vaccination</embargo>
  <respUnit>Year child received Imovax (polio) 1 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACIMOVAX1YR reports the year that children received their first Imovax vaccination. This information is only available for children born in the 3 to 5 years before the survey whose first Imovax vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACIMOVAX1DAY and VACIMOVAX1MO report the day of the month and the month of the first Imovax vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the first Imovax vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACIMOVAX1.</txt>
  <concept>
    <title>Polio vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACIMOVAX2" name="C_VACIMOVAX2" files="C" intrvl="discrete">
  <labl>Child received Imovax (polio) 2 vaccination</labl>
  <imputation>Child received Imovax (polio) 2 vaccination</imputation>
  <security>Child received Imovax (polio) 2 vaccination</security>
  <embargo>Child received Imovax (polio) 2 vaccination</embargo>
  <respUnit>Child received Imovax (polio) 2 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Yes, any information source</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Yes, from vac card</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Yes, date on vaccination card</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Yes, from vac card w/out date</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Yes, from mother's report</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the 3 to 5 years before the survey, VACIMOVAX2 indicates whether the child has received the second in a series of Imovax vaccinations. The Imovax vaccine is an inactivated polio vaccine (IPV). 

The Imovax vaccination primary series usually consists of 2 administrations, and the complementary variable VACIMOVAX1 reports the first administration.

VACIMOVAX2 uses composite coding, with a first digit of 2 indicating the child has been vaccinated and the second digit indicating the source of information (a dated entry on the vaccination card, an undated mark on the vaccination card, or the mother's report).</txt>
  <concept>
    <title>Polio vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACIMOVAX2DAY" name="C_VACIMOVAX2DAY" files="C" intrvl="discrete">
  <labl>Day child received Imovax (polio) 2 vaccination</labl>
  <imputation>Day child received Imovax (polio) 2 vaccination</imputation>
  <security>Day child received Imovax (polio) 2 vaccination</security>
  <embargo>Day child received Imovax (polio) 2 vaccination</embargo>
  <respUnit>Day child received Imovax (polio) 2 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACIMOVAX2DAY reports the day of the month that children received their second Imovax vaccination. This information is only available for children born in the 3 to 5 years before the survey whose second Imovax vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACIMOVAX2MO and VACIMOVAX2YR report the month and the year of the second Imovax vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the second Imovax vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACIMOVAX2.</txt>
  <concept>
    <title>Polio vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACIMOVAX2MO" name="C_VACIMOVAX2MO" files="C" intrvl="discrete">
  <labl>Month child received Imovax (polio) 2 vaccination</labl>
  <imputation>Month child received Imovax (polio) 2 vaccination</imputation>
  <security>Month child received Imovax (polio) 2 vaccination</security>
  <embargo>Month child received Imovax (polio) 2 vaccination</embargo>
  <respUnit>Month child received Imovax (polio) 2 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACIMOVAX2MO reports the month that children received their second Imovax vaccination. This information is only available for children born in the 3 to 5 years before the survey whose second Imovax vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACIMOVAX2DAY and VACIMOVAX2YR report the day of the month and the year of the second Imovax vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the second Imovax vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACIMOVAX2.</txt>
  <concept>
    <title>Polio vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACIMOVAX2YR" name="C_VACIMOVAX2YR" files="C" intrvl="discrete">
  <labl>Year child received Imovax (polio) 2 vaccination</labl>
  <imputation>Year child received Imovax (polio) 2 vaccination</imputation>
  <security>Year child received Imovax (polio) 2 vaccination</security>
  <embargo>Year child received Imovax (polio) 2 vaccination</embargo>
  <respUnit>Year child received Imovax (polio) 2 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACIMOVAX2YR reports the year that children received their second Imovax vaccination. This information is only available for children born in the 3 to 5 years before the survey whose second Imovax vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACIMOVAX2DAY and VACIMOVAX2MO report the day of the month and the month of the second Imovax vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the second Imovax vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACIMOVAX2.</txt>
  <concept>
    <title>Polio vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACDPT1" name="C_VACDPT1" files="C" intrvl="discrete">
  <labl>Child received DPT (diphtheria, pertussis, tetanus) 1 vaccination</labl>
  <imputation>Child received DPT (diphtheria, pertussis, tetanus) 1 vaccination</imputation>
  <security>Child received DPT (diphtheria, pertussis, tetanus) 1 vaccination</security>
  <embargo>Child received DPT (diphtheria, pertussis, tetanus) 1 vaccination</embargo>
  <respUnit>Child received DPT (diphtheria, pertussis, tetanus) 1 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Yes, any information source</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Yes, from vac card</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Yes, date on vaccination card</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Yes, from vac card w/out date</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Yes, from mother's report</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the 3 to 5 years before the survey, VACDPT1 (H3) indicates whether the child has received the first in a series of DPT vaccinations against diphtheria, pertussis, and tetanus. The DPT vaccination is often given as an injection in the thigh or buttocks, often at the same time as polio drops. 

The DPT vaccination primary series usually consists of 3 administrations, and the complementary variables VACDPT2 (H5) and VACDPT3 (H7) report the second and third administrations, respectively.

VACDPT1 uses composite coding, with a first digit of 2 indicating the child has been vaccinated and the second digit indicating the source of information (a dated entry on the vaccination card, an undated mark on the vaccination card, or the mother's report).</txt>
  <concept>
    <title>DPT-HB-Hib vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACDPT1DAY" name="C_VACDPT1DAY" files="C" intrvl="discrete">
  <labl>Day child received DPT (diphtheria, pertussis, tetanus) 1 vaccination</labl>
  <imputation>Day child received DPT (diphtheria, pertussis, tetanus) 1 vaccination</imputation>
  <security>Day child received DPT (diphtheria, pertussis, tetanus) 1 vaccination</security>
  <embargo>Day child received DPT (diphtheria, pertussis, tetanus) 1 vaccination</embargo>
  <respUnit>Day child received DPT (diphtheria, pertussis, tetanus) 1 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACDPT1DAY (H3D) reports the day of the month that children received their first DPT vaccination. This information is only available for children born in the 3 to 5 years before the survey whose first DPT vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACDPT1MO (H3M) and VACDPT1YR (H3Y) report the month and the year of the first DPT vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the first DPT vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACDPT1 (H3).</txt>
  <concept>
    <title>DPT-HB-Hib vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACDPT1MO" name="C_VACDPT1MO" files="C" intrvl="discrete">
  <labl>Month child received DPT (diphtheria, pertussis, tetanus) 1 vaccination</labl>
  <imputation>Month child received DPT (diphtheria, pertussis, tetanus) 1 vaccination</imputation>
  <security>Month child received DPT (diphtheria, pertussis, tetanus) 1 vaccination</security>
  <embargo>Month child received DPT (diphtheria, pertussis, tetanus) 1 vaccination</embargo>
  <respUnit>Month child received DPT (diphtheria, pertussis, tetanus) 1 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACDPT1MO (H3M) reports the month that children received their first DPT vaccination. This information is only available for children born in the 3 to 5 years before the survey whose first DPT vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACDPT1DAY (H3D) and VACDPT1YR (H3Y) report the day of the month and the year of the first DPT vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the first DPT vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACDPT1 (H3).</txt>
  <concept>
    <title>DPT-HB-Hib vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACDPT1YR" name="C_VACDPT1YR" files="C" intrvl="discrete">
  <labl>Year child received DPT (diphtheria, pertussis, tetanus) 1 vaccination</labl>
  <imputation>Year child received DPT (diphtheria, pertussis, tetanus) 1 vaccination</imputation>
  <security>Year child received DPT (diphtheria, pertussis, tetanus) 1 vaccination</security>
  <embargo>Year child received DPT (diphtheria, pertussis, tetanus) 1 vaccination</embargo>
  <respUnit>Year child received DPT (diphtheria, pertussis, tetanus) 1 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <txt>VACDPT1YR (H3Y) reports the year that children received their first DPT vaccination. This information is only available for children born in the 3 to 5 years before the survey whose first DPT vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACDPT1DAY (H3D) and VACDPT1MO (H3M) report the day of the month and the month of the first DPT vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the first DPT vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACDPT1 (H3).</txt>
  <concept>
    <title>DPT-HB-Hib vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACDPT2" name="C_VACDPT2" files="C" intrvl="discrete">
  <labl>Child received DPT (diphtheria, pertussis, tetanus) 2 vaccination</labl>
  <imputation>Child received DPT (diphtheria, pertussis, tetanus) 2 vaccination</imputation>
  <security>Child received DPT (diphtheria, pertussis, tetanus) 2 vaccination</security>
  <embargo>Child received DPT (diphtheria, pertussis, tetanus) 2 vaccination</embargo>
  <respUnit>Child received DPT (diphtheria, pertussis, tetanus) 2 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Yes, any information source</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Yes, from vac card</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Yes, date on vaccination card</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Yes, from vac card w/out date</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Yes, from mother's report</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the 3 to 5 years before the survey, VACDPT2 (H5) indicates whether the child has received the second in a series of DPT vaccinations against diphtheria, pertussis, and tetanus. The DPT vaccination is often given as an injection in the thigh or buttocks, often at the same time as polio drops. 

The DPT vaccination primary series usually consists of 3 administrations, and the complementary variables VACDPT1 (H3) and VACDPT3 (H7) report the first and third administrations, respectively.

VACDPT2 uses composite coding, with a first digit of 2 indicating the child has been vaccinated and the second digit indicating the source of information (a dated entry on the vaccination card, an undated mark on the vaccination card, or the mother's report).</txt>
  <concept>
    <title>DPT-HB-Hib vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACDPT2DAY" name="C_VACDPT2DAY" files="C" intrvl="discrete">
  <labl>Day child received DPT (diphtheria, pertussis, tetanus) 2 vaccination</labl>
  <imputation>Day child received DPT (diphtheria, pertussis, tetanus) 2 vaccination</imputation>
  <security>Day child received DPT (diphtheria, pertussis, tetanus) 2 vaccination</security>
  <embargo>Day child received DPT (diphtheria, pertussis, tetanus) 2 vaccination</embargo>
  <respUnit>Day child received DPT (diphtheria, pertussis, tetanus) 2 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACDPT2DAY (H5D) reports the day of the month that children received their second DPT vaccination. This information is only available for children born in the 3 to 5 years before the survey whose second DPT vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACDPT2MO (H5M) and VACDPT2YR (H5Y) report the month and the year of the second DPT vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the second DPT vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACDPT2 (H5).</txt>
  <concept>
    <title>DPT-HB-Hib vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACDPT2MO" name="C_VACDPT2MO" files="C" intrvl="discrete">
  <labl>Month child received DPT (diphtheria, pertussis, tetanus) 2 vaccination</labl>
  <imputation>Month child received DPT (diphtheria, pertussis, tetanus) 2 vaccination</imputation>
  <security>Month child received DPT (diphtheria, pertussis, tetanus) 2 vaccination</security>
  <embargo>Month child received DPT (diphtheria, pertussis, tetanus) 2 vaccination</embargo>
  <respUnit>Month child received DPT (diphtheria, pertussis, tetanus) 2 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACDPT2MO (H5M) reports the month that children received their second DPT vaccination. This information is only available for children born in the 3 to 5 years before the survey whose second DPT vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACDPT2DAY (H5D) and VACDPT2YR (H5Y) report the day of the month and the year of the second DPT vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the second DPT vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACDPT2 (H5).</txt>
  <concept>
    <title>DPT-HB-Hib vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACDPT2YR" name="C_VACDPT2YR" files="C" intrvl="discrete">
  <labl>Year child received DPT (diphtheria, pertussis, tetanus) 2 vaccination</labl>
  <imputation>Year child received DPT (diphtheria, pertussis, tetanus) 2 vaccination</imputation>
  <security>Year child received DPT (diphtheria, pertussis, tetanus) 2 vaccination</security>
  <embargo>Year child received DPT (diphtheria, pertussis, tetanus) 2 vaccination</embargo>
  <respUnit>Year child received DPT (diphtheria, pertussis, tetanus) 2 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <txt>VACDPT2YR (H5Y) reports the year that children received their second DPT vaccination. This information is only available for children born in the 3 to 5 years before the survey whose second DPT vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACDPT2DAY (H5D) and VACDPT2MO (H5M) report the day of the month and the month of the second DPT vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the second DPT vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACDPT2 (H5).</txt>
  <concept>
    <title>DPT-HB-Hib vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACDPT3" name="C_VACDPT3" files="C" intrvl="discrete">
  <labl>Child received DPT (diphtheria, pertussis, tetanus) 3 vaccination</labl>
  <imputation>Child received DPT (diphtheria, pertussis, tetanus) 3 vaccination</imputation>
  <security>Child received DPT (diphtheria, pertussis, tetanus) 3 vaccination</security>
  <embargo>Child received DPT (diphtheria, pertussis, tetanus) 3 vaccination</embargo>
  <respUnit>Child received DPT (diphtheria, pertussis, tetanus) 3 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Yes, any information source</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Yes, from vac card</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Yes, date on vaccination card</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Yes, from vac card w/out date</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Yes, from mother's report</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the 3 to 5 years before the survey, VACDPT3 (H7) indicates whether the child has received the third in a series of DPT vaccinations against diphtheria, pertussis, and tetanus. The DPT vaccination is often given as an injection in the thigh or buttocks, often at the same time as polio drops. 

The DPT vaccination primary series usually consists of 3 administrations, and the complementary variables VACDPT1 (H3) and VACDPT2 (H5) report the first and second administrations, respectively.

VACDPT3 uses composite coding, with a first digit of 2 indicating the child has been vaccinated and the second digit indicating the source of information (a dated entry on the vaccination card, an undated mark on the vaccination card, or the mother's report).</txt>
  <concept>
    <title>DPT-HB-Hib vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACDPT3DAY" name="C_VACDPT3DAY" files="C" intrvl="discrete">
  <labl>Day child received DPT (diphtheria, pertussis, tetanus) 3 vaccination</labl>
  <imputation>Day child received DPT (diphtheria, pertussis, tetanus) 3 vaccination</imputation>
  <security>Day child received DPT (diphtheria, pertussis, tetanus) 3 vaccination</security>
  <embargo>Day child received DPT (diphtheria, pertussis, tetanus) 3 vaccination</embargo>
  <respUnit>Day child received DPT (diphtheria, pertussis, tetanus) 3 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACDPT3DAY (H7D) reports the day of the month that children received their third DPT vaccination. This information is only available for children born in the 3 to 5 years before the survey whose third DPT vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACDPT3MO (H7M) and VACDPT3YR (H7Y) report the month and the year of the third DPT vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the third DPT vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACDPT3 (H7).</txt>
  <concept>
    <title>DPT-HB-Hib vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACDPT3MO" name="C_VACDPT3MO" files="C" intrvl="discrete">
  <labl>Month child received DPT (diphtheria, pertussis, tetanus) 3 vaccination</labl>
  <imputation>Month child received DPT (diphtheria, pertussis, tetanus) 3 vaccination</imputation>
  <security>Month child received DPT (diphtheria, pertussis, tetanus) 3 vaccination</security>
  <embargo>Month child received DPT (diphtheria, pertussis, tetanus) 3 vaccination</embargo>
  <respUnit>Month child received DPT (diphtheria, pertussis, tetanus) 3 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACDPT3MO (H7M) reports the month that children received their third DPT vaccination. This information is only available for children born in the 3 to 5 years before the survey whose third DPT vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACDPT3DAY (H7D) and VACDPT3YR (H7Y) report the day of the month and the year of the third DPT vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the third DPT vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACDPT3 (H7).</txt>
  <concept>
    <title>DPT-HB-Hib vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACDPT3YR" name="C_VACDPT3YR" files="C" intrvl="discrete">
  <labl>Year child received DPT (diphtheria, pertussis, tetanus) 3 vaccination</labl>
  <imputation>Year child received DPT (diphtheria, pertussis, tetanus) 3 vaccination</imputation>
  <security>Year child received DPT (diphtheria, pertussis, tetanus) 3 vaccination</security>
  <embargo>Year child received DPT (diphtheria, pertussis, tetanus) 3 vaccination</embargo>
  <respUnit>Year child received DPT (diphtheria, pertussis, tetanus) 3 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACDPT3YR (H7Y) reports the year that children received their third DPT vaccination. This information is only available for children born in the 3 to 5 years before the survey whose third DPT vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACDPT3DAY (H7D) and VACDPT3MO (H7M) report the day of the month and the month of the third DPT vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the third DPT vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACDPT3 (H7).</txt>
  <concept>
    <title>DPT-HB-Hib vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACMEAS1" name="C_VACMEAS1" files="C" intrvl="discrete">
  <labl>Child received measles (or measles containing) 1 vaccination</labl>
  <imputation>Child received measles (or measles containing) 1 vaccination</imputation>
  <security>Child received measles (or measles containing) 1 vaccination</security>
  <embargo>Child received measles (or measles containing) 1 vaccination</embargo>
  <respUnit>Child received measles (or measles containing) 1 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Yes, any information source</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Yes, from vac card</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Yes, date on vaccination card</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Yes, from vac card w/out date</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Yes, from mother's report</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the 3 to 5 years before the survey, VACMEAS1 (H9) indicates whether the child has received the first in a series of measles (or measles-containing) vaccinations.

The measles vaccination primary series usually consists of either 1 or 2 administrations, and the complementary variable VACMEAS2 (H9A) reports the second administration.

VACMEAS1 uses composite coding, with a first digit of 2 indicating the child has been vaccinated and the second digit indicating the source of information (a dated entry on the vaccination card, an undated mark on the vaccination card, or the mother's report).</txt>
  <concept>
    <title>Measles vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACMEAS1DAY" name="C_VACMEAS1DAY" files="C" intrvl="discrete">
  <labl>Day child received measles 1 vaccination</labl>
  <imputation>Day child received measles 1 vaccination</imputation>
  <security>Day child received measles 1 vaccination</security>
  <embargo>Day child received measles 1 vaccination</embargo>
  <respUnit>Day child received measles 1 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACMEAS1DAY (H9D) reports the day of the month that children received their first measles or measles-containing vaccination. This information is only available for children born in the 3 to 5 years before the survey whose first measles vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACMEAS1MO (H9M) and VACMEAS1YR (H9Y) report the month and the year of the first measles vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the first measles vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACMEAS1 (H9).</txt>
  <concept>
    <title>Measles vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACMEAS1MO" name="C_VACMEAS1MO" files="C" intrvl="discrete">
  <labl>Month child received measles 1 vaccination</labl>
  <imputation>Month child received measles 1 vaccination</imputation>
  <security>Month child received measles 1 vaccination</security>
  <embargo>Month child received measles 1 vaccination</embargo>
  <respUnit>Month child received measles 1 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACMEAS1MO (H9M) reports the month that children received their first measles or measles-containing vaccination. This information is only available for children born in the 3 to 5 years before the survey whose first measles vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACMEAS1DAY (H9D) and VACMEAS1YR (H9Y) report the day of the month and the year of the first measles vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the first measles vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACMEAS1 (H9).</txt>
  <concept>
    <title>Measles vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACMEAS1YR" name="C_VACMEAS1YR" files="C" intrvl="discrete">
  <labl>Year child received measles 1 vaccination</labl>
  <imputation>Year child received measles 1 vaccination</imputation>
  <security>Year child received measles 1 vaccination</security>
  <embargo>Year child received measles 1 vaccination</embargo>
  <respUnit>Year child received measles 1 vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>2017</catValu>
    <labl>2017</labl>
  </catgry>
  <catgry>
    <catValu>2018</catValu>
    <labl>2018</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACMEAS1YR (H9Y) reports the year that children received their first measles or measles-containing vaccination. This information is only available for children born in the 3 to 5 years before the survey whose first measles vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACMEAS1DAY (H9D) and VACMEAS1MO (H9M) report the day of the month and the month of the first measles vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the first measles vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACMEAS1 (H9).</txt>
  <concept>
    <title>Measles vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACBCG" name="C_VACBCG" files="C" intrvl="discrete">
  <labl>Child received BCG (TB) vaccination</labl>
  <imputation>Child received BCG (TB) vaccination</imputation>
  <security>Child received BCG (TB) vaccination</security>
  <embargo>Child received BCG (TB) vaccination</embargo>
  <respUnit>Child received BCG (TB) vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Yes, any information source</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Yes, from vac card</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Yes, date on vaccination card</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Yes, from vac card w/out date</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Yes, from mother's report</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the 3 to 5 years before the survey, VACBCG (H2) indicates whether the young child had received the BCG vaccination against tuberculosis. The BCG vaccination is typically given as in injection in the arm or shoulder, and it usually causes a scar.

VACBCG uses composite coding, with a first digit of 2 indicating the child had been vaccinated and the second digit indicating the source of information (a dated entry on the vaccination card, an undated mark on the vaccination card, or the mother's report).</txt>
  <concept>
    <title>Other vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACBCGDAY" name="C_VACBCGDAY" files="C" intrvl="discrete">
  <labl>Day child received BCG (TB) vaccination</labl>
  <imputation>Day child received BCG (TB) vaccination</imputation>
  <security>Day child received BCG (TB) vaccination</security>
  <embargo>Day child received BCG (TB) vaccination</embargo>
  <respUnit>Day child received BCG (TB) vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACBCGDAY (H2D) reports the day of the month that children received the BCG vaccination. This information is only available for children born in the 3 to 5 years before the survey whose BCG vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACBCGMO (H2M) and VACBCGYR (H2Y) report the month and the year of the BCG vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the BCG vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACBCG (H2).</txt>
  <concept>
    <title>Other vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACBCGMO" name="C_VACBCGMO" files="C" intrvl="discrete">
  <labl>Month child received BCG (TB) vaccination</labl>
  <imputation>Month child received BCG (TB) vaccination</imputation>
  <security>Month child received BCG (TB) vaccination</security>
  <embargo>Month child received BCG (TB) vaccination</embargo>
  <respUnit>Month child received BCG (TB) vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACBCGDAY (H2D) reports the month that children received the BCG vaccination. This information is only available for children born in the 3 to 5 years before the survey whose BCG vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACBCGDAY (H2D) and VACBCGYR (H2Y) report the day of the month and the year of the BCG vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the BCG vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACBCG (H2).</txt>
  <concept>
    <title>Other vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACBCGYR" name="C_VACBCGYR" files="C" intrvl="discrete">
  <labl>Year child received BCG (TB) vaccination</labl>
  <imputation>Year child received BCG (TB) vaccination</imputation>
  <security>Year child received BCG (TB) vaccination</security>
  <embargo>Year child received BCG (TB) vaccination</embargo>
  <respUnit>Year child received BCG (TB) vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>2017</labl>
  </catgry>
  <catgry>
    <catValu>2018</catValu>
    <labl>2018</labl>
  </catgry>
  <txt>VACBCGYR (H2Y) reports the year that children received the BCG vaccination. This information is only available for children born in the 3 to 5 years before the survey whose BCG vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACBCGDAY (H2D) and VACBCGMO (H2M) report the day of the month and the month of the BCG vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the BCG vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACBCG (H2).</txt>
  <concept>
    <title>Other vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACYELLOWFEV" name="C_VACYELLOWFEV" files="C" intrvl="discrete">
  <labl>Child received yellow fever vaccination</labl>
  <imputation>Child received yellow fever vaccination</imputation>
  <security>Child received yellow fever vaccination</security>
  <embargo>Child received yellow fever vaccination</embargo>
  <respUnit>Child received yellow fever vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Yes, any information source</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Yes, from vac card</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Yes, date on vaccination card</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Yes, from vac card w/out date</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Yes, from mother's report</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For children born in the 3 to 5 years before the survey, VACYELLOWFEV indicates whether the child has received a vaccination against yellow fever.  The CDC website [URL omitted from DDI.] reports that a single dose of the vaccination protects against yellow fever for 10 years or more, with a booster dose recommended every 10 years.  This vaccination is recommended for persons age 9 months or older who live in areas at risk of yellow fever transmission.

VACYELLOWFEV uses composite coding, with a first digit of 2 indicating the child had been vaccinated and the second digit indicating the source of information (a dated entry on the vaccination card, an undated mark on the vaccination card, or the mother's report).</txt>
  <concept>
    <title>Other vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACYELLOWFEVDAY" name="C_VACYELLOWFEVDAY" files="C" intrvl="discrete">
  <labl>Day child received yellow fever vaccination</labl>
  <imputation>Day child received yellow fever vaccination</imputation>
  <security>Day child received yellow fever vaccination</security>
  <embargo>Day child received yellow fever vaccination</embargo>
  <respUnit>Day child received yellow fever vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACYELLOWFEVDAY reports the day of the month that children received their yellow fever vaccination. This information is only available for children born in the 3 to 5 years before the survey whose yellow fever vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACYELLOWFEVMO and VACYELLOWFEVYR report the month and the year of the yellow fever vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the yellow fever vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACYELLOWFEV.</txt>
  <concept>
    <title>Other vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACYELLOWFEVMO" name="C_VACYELLOWFEVMO" files="C" intrvl="discrete">
  <labl>Month child received yellow fever vaccination</labl>
  <imputation>Month child received yellow fever vaccination</imputation>
  <security>Month child received yellow fever vaccination</security>
  <embargo>Month child received yellow fever vaccination</embargo>
  <respUnit>Month child received yellow fever vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACYELLOWFEVMO reports the month that children received their yellow fever vaccination. This information is only available for children born in the 3 to 5 years before the survey whose yellow fever vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACYELLOWFEVDAY and VACYELLOWFEVYR report the day of the month and the year of the yellow fever vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, part or all of the date of the vaccination may be set to "Inconsistent" if the vaccination date reported is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the yellow fever vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACYELLOWFEV.</txt>
  <concept>
    <title>Other vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_VACYELLOWFEVYR" name="C_VACYELLOWFEVYR" files="C" intrvl="discrete">
  <labl>Year child received yellow fever vaccination</labl>
  <imputation>Year child received yellow fever vaccination</imputation>
  <security>Year child received yellow fever vaccination</security>
  <embargo>Year child received yellow fever vaccination</embargo>
  <respUnit>Year child received yellow fever vaccination</respUnit>
  <qstn>
    <qstnLit>444) COPY THE VACCINATION DATES FOR EACH VACCINE FROM THE CARD.

WRITE '44' IN THE 'DAY' COLUMN IF THE CARD SHOWS THAT A VACCINATION WAS GIVEN BUT THE DATE WAS NOT RECORDED.

BCG

DAY: ___
MONTH: ___
YEAR: ___

POLIO 0

DAY: ___
MONTH: ___
YEAR: ___

POLIO 1

DAY: ___
MONTH: ___
YEAR: ___

POLIO 2

DAY: ___
MONTH: ___
YEAR: ___

POLIO 3

DAY: ___
MONTH: ___
YEAR: ___

DPT 1

DAY: ___
MONTH: ___
YEAR: ___

DPT 2

DAY: ___
MONTH: ___
YEAR: ___

DPT 3

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 1

DAY: ___
MONTH: ___
YEAR: ___

IMOVAX 2

DAY: ___
MONTH: ___
YEAR: ___

MEASLES

DAY: ___
MONTH: ___
YEAR: ___

YELLOW FEVER

DAY: ___
MONTH: ___
YEAR: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>2017</labl>
  </catgry>
  <catgry>
    <catValu>2018</catValu>
    <labl>2018</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>VACYELLOWFEVYR reports the year that children received their yellow fever vaccination. This information is only available for children born in the 3 to 5 years before the survey whose yellow fever vaccination date was recorded on a card shown to the interviewer.

The complementary variables VACYELLOWFEVDAY and VACYELLOWFEVMO report the day of the month and the month of the yellow fever vaccination, as recorded on a vaccination card shown to the interviewer.

According to the DHS Recode Manuals, the vaccination date may be coded as "Inconsistent" if the reported date is inconsistent with the date of birth, the date of interview, or the dates of other vaccinations. 

To identify all young children who received the yellow fever vaccination, including those identified through the mother's report rather than a dated vaccination card, see VACYELLOWFEV.</txt>
  <concept>
    <title>Other vaccinations Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_SOIL" name="C_SOIL" files="C" intrvl="discrete">
  <labl>Soil type</labl>
  <imputation>Soil type</imputation>
  <security>Soil type</security>
  <embargo>Soil type</embargo>
  <respUnit>Soil type</respUnit>
  <catgry>
    <catValu>-998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>0001</catValu>
    <labl>Haplic Acrisols</labl>
  </catgry>
  <catgry>
    <catValu>0002</catValu>
    <labl>Haplic Acrisols (Alumic)</labl>
  </catgry>
  <catgry>
    <catValu>0003</catValu>
    <labl>Haplic Acrisols (Ferric)</labl>
  </catgry>
  <catgry>
    <catValu>0004</catValu>
    <labl>Haplic Acrisols (Humic)</labl>
  </catgry>
  <catgry>
    <catValu>0005</catValu>
    <labl>Plinthic Acrisols</labl>
  </catgry>
  <catgry>
    <catValu>0006</catValu>
    <labl>Vetic Acrisols</labl>
  </catgry>
  <catgry>
    <catValu>0007</catValu>
    <labl>Haplic Albeluvisols</labl>
  </catgry>
  <catgry>
    <catValu>0008</catValu>
    <labl>Histic Albeluvisols</labl>
  </catgry>
  <catgry>
    <catValu>0009</catValu>
    <labl>Umbric Albeluvisols</labl>
  </catgry>
  <catgry>
    <catValu>0010</catValu>
    <labl>Cutanic Alisols</labl>
  </catgry>
  <catgry>
    <catValu>0011</catValu>
    <labl>Haplic Alisols</labl>
  </catgry>
  <catgry>
    <catValu>0012</catValu>
    <labl>Aluandic Andosols</labl>
  </catgry>
  <catgry>
    <catValu>0013</catValu>
    <labl>Haplic Andosols</labl>
  </catgry>
  <catgry>
    <catValu>0014</catValu>
    <labl>Vitric Andosols</labl>
  </catgry>
  <catgry>
    <catValu>0015</catValu>
    <labl>Albic Arenosols</labl>
  </catgry>
  <catgry>
    <catValu>0016</catValu>
    <labl>Ferralic Arenosols</labl>
  </catgry>
  <catgry>
    <catValu>0017</catValu>
    <labl>Haplic Arenosols</labl>
  </catgry>
  <catgry>
    <catValu>0018</catValu>
    <labl>Haplic Arenosols (Calcaric)</labl>
  </catgry>
  <catgry>
    <catValu>0019</catValu>
    <labl>Hypoluvic Arenosols</labl>
  </catgry>
  <catgry>
    <catValu>0020</catValu>
    <labl>Protic Arenosols</labl>
  </catgry>
  <catgry>
    <catValu>0021</catValu>
    <labl>Haplic Calcisols</labl>
  </catgry>
  <catgry>
    <catValu>0022</catValu>
    <labl>Haplic Calcisols (Sodic)</labl>
  </catgry>
  <catgry>
    <catValu>0023</catValu>
    <labl>Luvic Calcisols</labl>
  </catgry>
  <catgry>
    <catValu>0024</catValu>
    <labl>Petric Calcisols</labl>
  </catgry>
  <catgry>
    <catValu>0025</catValu>
    <labl>Endogleyic Cambisols</labl>
  </catgry>
  <catgry>
    <catValu>0026</catValu>
    <labl>Ferralic Cambisols</labl>
  </catgry>
  <catgry>
    <catValu>0027</catValu>
    <labl>Haplic Cambisols</labl>
  </catgry>
  <catgry>
    <catValu>0028</catValu>
    <labl>Haplic Cambisols (Calcaric)</labl>
  </catgry>
  <catgry>
    <catValu>0029</catValu>
    <labl>Haplic Cambisols (Chromic)</labl>
  </catgry>
  <catgry>
    <catValu>0030</catValu>
    <labl>Haplic Cambisols (Dystric)</labl>
  </catgry>
  <catgry>
    <catValu>0031</catValu>
    <labl>Haplic Cambisols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0032</catValu>
    <labl>Haplic Cambisols (Humic)</labl>
  </catgry>
  <catgry>
    <catValu>0033</catValu>
    <labl>Haplic Cambisols (Sodic)</labl>
  </catgry>
  <catgry>
    <catValu>0034</catValu>
    <labl>Leptic Cambisols</labl>
  </catgry>
  <catgry>
    <catValu>0035</catValu>
    <labl>Vertic Cambisols</labl>
  </catgry>
  <catgry>
    <catValu>0036</catValu>
    <labl>Calcic Chernozems</labl>
  </catgry>
  <catgry>
    <catValu>0037</catValu>
    <labl>Haplic Chernozems</labl>
  </catgry>
  <catgry>
    <catValu>0038</catValu>
    <labl>Luvic Chernozems</labl>
  </catgry>
  <catgry>
    <catValu>0039</catValu>
    <labl>Haplic Cryosols</labl>
  </catgry>
  <catgry>
    <catValu>0040</catValu>
    <labl>Turbic Cryosols</labl>
  </catgry>
  <catgry>
    <catValu>0041</catValu>
    <labl>Vitric Cryosols</labl>
  </catgry>
  <catgry>
    <catValu>0042</catValu>
    <labl>Petric Durisols</labl>
  </catgry>
  <catgry>
    <catValu>0043</catValu>
    <labl>Acric Ferralsols</labl>
  </catgry>
  <catgry>
    <catValu>0044</catValu>
    <labl>Haplic Ferralsols</labl>
  </catgry>
  <catgry>
    <catValu>0045</catValu>
    <labl>Haplic Ferralsols (Rhodic)</labl>
  </catgry>
  <catgry>
    <catValu>0046</catValu>
    <labl>Haplic Ferralsols (Xanthic)</labl>
  </catgry>
  <catgry>
    <catValu>0047</catValu>
    <labl>Umbric Ferralsols</labl>
  </catgry>
  <catgry>
    <catValu>0048</catValu>
    <labl>Haplic Fluvisols</labl>
  </catgry>
  <catgry>
    <catValu>0049</catValu>
    <labl>Haplic Fluvisols (Arenic)</labl>
  </catgry>
  <catgry>
    <catValu>0050</catValu>
    <labl>Haplic Fluvisols (Calcaric)</labl>
  </catgry>
  <catgry>
    <catValu>0051</catValu>
    <labl>Haplic Fluvisols (Dystric)</labl>
  </catgry>
  <catgry>
    <catValu>0052</catValu>
    <labl>Haplic Fluvisols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0053</catValu>
    <labl>Calcic Gleysols</labl>
  </catgry>
  <catgry>
    <catValu>0054</catValu>
    <labl>Haplic Gleysols</labl>
  </catgry>
  <catgry>
    <catValu>0055</catValu>
    <labl>Haplic Gleysols (Dystric)</labl>
  </catgry>
  <catgry>
    <catValu>0056</catValu>
    <labl>Haplic Gleysols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0057</catValu>
    <labl>Mollic Gleysols</labl>
  </catgry>
  <catgry>
    <catValu>0058</catValu>
    <labl>Umbric Gleysols</labl>
  </catgry>
  <catgry>
    <catValu>0059</catValu>
    <labl>Calcic Gypsisols</labl>
  </catgry>
  <catgry>
    <catValu>0060</catValu>
    <labl>Haplic Gypsisols</labl>
  </catgry>
  <catgry>
    <catValu>0061</catValu>
    <labl>Calcic Histosols</labl>
  </catgry>
  <catgry>
    <catValu>0062</catValu>
    <labl>Cryic Histosols</labl>
  </catgry>
  <catgry>
    <catValu>0063</catValu>
    <labl>Fibric Histosols</labl>
  </catgry>
  <catgry>
    <catValu>0064</catValu>
    <labl>Hemic Histosols</labl>
  </catgry>
  <catgry>
    <catValu>0065</catValu>
    <labl>Sapric Histosols</labl>
  </catgry>
  <catgry>
    <catValu>0066</catValu>
    <labl>Calcic Kastanozems</labl>
  </catgry>
  <catgry>
    <catValu>0067</catValu>
    <labl>Haplic Kastanozems</labl>
  </catgry>
  <catgry>
    <catValu>0068</catValu>
    <labl>Haplic Leptosols</labl>
  </catgry>
  <catgry>
    <catValu>0069</catValu>
    <labl>Haplic Leptosols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0070</catValu>
    <labl>Lithic Leptosols</labl>
  </catgry>
  <catgry>
    <catValu>0071</catValu>
    <labl>Mollic Leptosols</labl>
  </catgry>
  <catgry>
    <catValu>0072</catValu>
    <labl>Rendzic Leptosols</labl>
  </catgry>
  <catgry>
    <catValu>0073</catValu>
    <labl>Haplic Lixisols</labl>
  </catgry>
  <catgry>
    <catValu>0074</catValu>
    <labl>Haplic Lixisols (Chromic)</labl>
  </catgry>
  <catgry>
    <catValu>0075</catValu>
    <labl>Haplic Lixisols (Ferric)</labl>
  </catgry>
  <catgry>
    <catValu>0076</catValu>
    <labl>Albic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0077</catValu>
    <labl>Calcic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0078</catValu>
    <labl>Gleyic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0079</catValu>
    <labl>Haplic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0080</catValu>
    <labl>Haplic Luvisols (Chromic)</labl>
  </catgry>
  <catgry>
    <catValu>0081</catValu>
    <labl>Haplic Luvisols (Ferric)</labl>
  </catgry>
  <catgry>
    <catValu>0082</catValu>
    <labl>Leptic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0083</catValu>
    <labl>Stagnic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0084</catValu>
    <labl>Vertic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0085</catValu>
    <labl>Alic Nitisols</labl>
  </catgry>
  <catgry>
    <catValu>0086</catValu>
    <labl>Haplic Nitisols (Rhodic)</labl>
  </catgry>
  <catgry>
    <catValu>0087</catValu>
    <labl>Haplic Phaeozems</labl>
  </catgry>
  <catgry>
    <catValu>0088</catValu>
    <labl>Leptic Phaeozems</labl>
  </catgry>
  <catgry>
    <catValu>0089</catValu>
    <labl>Luvic Phaeozems</labl>
  </catgry>
  <catgry>
    <catValu>0090</catValu>
    <labl>Endogleyic Planosols</labl>
  </catgry>
  <catgry>
    <catValu>0091</catValu>
    <labl>Haplic Planosols (Dystric)</labl>
  </catgry>
  <catgry>
    <catValu>0092</catValu>
    <labl>Haplic Planosols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0093</catValu>
    <labl>Luvic Planosols</labl>
  </catgry>
  <catgry>
    <catValu>0094</catValu>
    <labl>Solodic Planosols</labl>
  </catgry>
  <catgry>
    <catValu>0095</catValu>
    <labl>Acric Plinthosols</labl>
  </catgry>
  <catgry>
    <catValu>0096</catValu>
    <labl>Lixic Plinthosols</labl>
  </catgry>
  <catgry>
    <catValu>0097</catValu>
    <labl>Gleyic Podzols</labl>
  </catgry>
  <catgry>
    <catValu>0098</catValu>
    <labl>Haplic Podzols</labl>
  </catgry>
  <catgry>
    <catValu>0099</catValu>
    <labl>Aric Regosols</labl>
  </catgry>
  <catgry>
    <catValu>0100</catValu>
    <labl>Calcaric Regosols</labl>
  </catgry>
  <catgry>
    <catValu>0101</catValu>
    <labl>Haplic Regosols (Dystric)</labl>
  </catgry>
  <catgry>
    <catValu>0102</catValu>
    <labl>Haplic Regosols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0103</catValu>
    <labl>Haplic Regosols (Sodic)</labl>
  </catgry>
  <catgry>
    <catValu>0104</catValu>
    <labl>Leptic Regosols</labl>
  </catgry>
  <catgry>
    <catValu>0105</catValu>
    <labl>Gypsic Solonchaks</labl>
  </catgry>
  <catgry>
    <catValu>0106</catValu>
    <labl>Haplic Solonchaks</labl>
  </catgry>
  <catgry>
    <catValu>0107</catValu>
    <labl>Haplic Solonchaks (Sodic)</labl>
  </catgry>
  <catgry>
    <catValu>0108</catValu>
    <labl>Calcic Solonetz</labl>
  </catgry>
  <catgry>
    <catValu>0109</catValu>
    <labl>Gleyic Solonetz</labl>
  </catgry>
  <catgry>
    <catValu>0110</catValu>
    <labl>Haplic Solonetz</labl>
  </catgry>
  <catgry>
    <catValu>0111</catValu>
    <labl>Mollic Solonetz</labl>
  </catgry>
  <catgry>
    <catValu>0112</catValu>
    <labl>Luvic Stagnosols</labl>
  </catgry>
  <catgry>
    <catValu>0113</catValu>
    <labl>Haplic Umbrisols</labl>
  </catgry>
  <catgry>
    <catValu>0114</catValu>
    <labl>Leptic Umbrisols</labl>
  </catgry>
  <catgry>
    <catValu>0115</catValu>
    <labl>Calcic Vertisols</labl>
  </catgry>
  <catgry>
    <catValu>0116</catValu>
    <labl>Haplic Vertisols</labl>
  </catgry>
  <catgry>
    <catValu>0117</catValu>
    <labl>Haplic Vertisols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0118</catValu>
    <labl>Mollic Vertisols</labl>
  </catgry>
  <txt>SOIL reports the predominant soil type within a 5-kilometer circular buffer around each DHS cluster location. The soil attributes reported in SOIL are: soil class (e.g., Leptosols), with 30 class categories, and soil type within that class (e.g., Lithic Leptosols). SOIL is available for every IPUMS-DHS sample with GPS data.

SOIL is based on data from SoilGrids [URL omitted from DDI.]. SoilGrids is a system for automated soil mapping based on global soil profile and covariate data. There are 118 different soil types in the world according to SoilGrids [URL omitted from DDI.]. For the full list of codes and their meaning, see the soil legend [URL omitted from DDI.].

SOIL, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_ECOREGION" name="C_ECOREGION" files="C" intrvl="discrete">
  <labl>Ecoregion of household</labl>
  <imputation>Ecoregion of household</imputation>
  <security>Ecoregion of household</security>
  <embargo>Ecoregion of household</embargo>
  <respUnit>Ecoregion of household</respUnit>
  <catgry>
    <catValu>-0998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>10101</catValu>
    <labl>Admiralty Islands lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10102</catValu>
    <labl>Banda Sea Islands moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>10103</catValu>
    <labl>Biak-Numfoor rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10104</catValu>
    <labl>Buru rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10105</catValu>
    <labl>Central Range montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10106</catValu>
    <labl>Halmahera rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10107</catValu>
    <labl>Huon Peninsula montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10108</catValu>
    <labl>Yapen rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10109</catValu>
    <labl>Lord Howe Island subtropical forests</labl>
  </catgry>
  <catgry>
    <catValu>10110</catValu>
    <labl>Louisiade Archipelago rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10111</catValu>
    <labl>New Britain-New Ireland lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10112</catValu>
    <labl>New Britain-New Ireland montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10113</catValu>
    <labl>New Caledonia rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10114</catValu>
    <labl>Norfolk Island subtropical forests</labl>
  </catgry>
  <catgry>
    <catValu>10115</catValu>
    <labl>Northern New Guinea lowland rain and freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>10116</catValu>
    <labl>Northern New Guinea montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10117</catValu>
    <labl>Queensland tropical rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10118</catValu>
    <labl>Seram rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10119</catValu>
    <labl>Solomon Islands rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10120</catValu>
    <labl>Southeastern Papuan rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10121</catValu>
    <labl>Southern New Guinea freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>10122</catValu>
    <labl>Southern New Guinea lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10123</catValu>
    <labl>Sulawesi lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10124</catValu>
    <labl>Sulawesi montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10125</catValu>
    <labl>Trobriand Islands rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10126</catValu>
    <labl>Vanuatu rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10127</catValu>
    <labl>Vogelkop montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10128</catValu>
    <labl>Vogelkop-Aru lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10201</catValu>
    <labl>Lesser Sundas deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>10202</catValu>
    <labl>New Caledonia dry forests</labl>
  </catgry>
  <catgry>
    <catValu>10203</catValu>
    <labl>Sumba deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>10204</catValu>
    <labl>Timor and Wetar deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>10401</catValu>
    <labl>Chatham Island temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10402</catValu>
    <labl>Eastern Australian temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10403</catValu>
    <labl>Fiordland temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10404</catValu>
    <labl>Nelson Coast temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10405</catValu>
    <labl>North Island temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10406</catValu>
    <labl>Northland temperate kauri forests</labl>
  </catgry>
  <catgry>
    <catValu>10407</catValu>
    <labl>Rakiura Island temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10408</catValu>
    <labl>Richmond temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10409</catValu>
    <labl>Southeast Australia temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10410</catValu>
    <labl>South Island temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10411</catValu>
    <labl>Tasmanian Central Highland forests</labl>
  </catgry>
  <catgry>
    <catValu>10412</catValu>
    <labl>Tasmanian temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10413</catValu>
    <labl>Tasmanian temperate rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10414</catValu>
    <labl>Westland temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10701</catValu>
    <labl>Arnhem Land tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10702</catValu>
    <labl>Brigalow tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10703</catValu>
    <labl>Cape York Peninsula tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10704</catValu>
    <labl>Carpentaria tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10705</catValu>
    <labl>Einasleigh upland savanna</labl>
  </catgry>
  <catgry>
    <catValu>10706</catValu>
    <labl>Kimberly tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10707</catValu>
    <labl>Mitchell grass downs</labl>
  </catgry>
  <catgry>
    <catValu>10708</catValu>
    <labl>Trans Fly savanna and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>10709</catValu>
    <labl>Victoria Plains tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10801</catValu>
    <labl>Cantebury-Otago tussock grasslands</labl>
  </catgry>
  <catgry>
    <catValu>10802</catValu>
    <labl>Eastern Australia mulga shrublands</labl>
  </catgry>
  <catgry>
    <catValu>10803</catValu>
    <labl>Southeast Australia temperate savanna</labl>
  </catgry>
  <catgry>
    <catValu>11001</catValu>
    <labl>Australian Alps montane grasslands</labl>
  </catgry>
  <catgry>
    <catValu>11002</catValu>
    <labl>Central Range sub-alpine grasslands</labl>
  </catgry>
  <catgry>
    <catValu>11003</catValu>
    <labl>South Island montane grasslands</labl>
  </catgry>
  <catgry>
    <catValu>11101</catValu>
    <labl>Antipodes Subantarctic Islands tundra</labl>
  </catgry>
  <catgry>
    <catValu>11201</catValu>
    <labl>Coolgardie woodlands</labl>
  </catgry>
  <catgry>
    <catValu>11202</catValu>
    <labl>Esperance mallee</labl>
  </catgry>
  <catgry>
    <catValu>11203</catValu>
    <labl>Eyre and York mallee</labl>
  </catgry>
  <catgry>
    <catValu>11204</catValu>
    <labl>Jarrah-Karri forest and shrublands</labl>
  </catgry>
  <catgry>
    <catValu>11205</catValu>
    <labl>Swan Coastal Plain Scrub and Woodlands</labl>
  </catgry>
  <catgry>
    <catValu>11206</catValu>
    <labl>Mount Lofty woodlands</labl>
  </catgry>
  <catgry>
    <catValu>11207</catValu>
    <labl>Murray-Darling woodlands and mallee</labl>
  </catgry>
  <catgry>
    <catValu>11208</catValu>
    <labl>Naracoorte woodlands</labl>
  </catgry>
  <catgry>
    <catValu>11209</catValu>
    <labl>Southwest Australia savanna</labl>
  </catgry>
  <catgry>
    <catValu>11210</catValu>
    <labl>Southwest Australia woodlands</labl>
  </catgry>
  <catgry>
    <catValu>11301</catValu>
    <labl>Carnarvon xeric shrublands</labl>
  </catgry>
  <catgry>
    <catValu>11302</catValu>
    <labl>Central Ranges xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>11303</catValu>
    <labl>Gibson desert</labl>
  </catgry>
  <catgry>
    <catValu>11304</catValu>
    <labl>Great Sandy-Tanami desert</labl>
  </catgry>
  <catgry>
    <catValu>11305</catValu>
    <labl>Great Victoria desert</labl>
  </catgry>
  <catgry>
    <catValu>11306</catValu>
    <labl>Nullarbor Plains xeric shrublands</labl>
  </catgry>
  <catgry>
    <catValu>11307</catValu>
    <labl>Pilbara shrublands</labl>
  </catgry>
  <catgry>
    <catValu>11308</catValu>
    <labl>Simpson desert</labl>
  </catgry>
  <catgry>
    <catValu>11309</catValu>
    <labl>Tirari-Sturt stony desert</labl>
  </catgry>
  <catgry>
    <catValu>11310</catValu>
    <labl>Western Australian Mulga shrublands</labl>
  </catgry>
  <catgry>
    <catValu>11401</catValu>
    <labl>New Guinea mangroves</labl>
  </catgry>
  <catgry>
    <catValu>21101</catValu>
    <labl>Marielandia Antarctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>21102</catValu>
    <labl>Maudlandia Antarctic desert</labl>
  </catgry>
  <catgry>
    <catValu>21103</catValu>
    <labl>Scotia Sea Islands tundra</labl>
  </catgry>
  <catgry>
    <catValu>21104</catValu>
    <labl>Southern Indian Ocean Islands tundra</labl>
  </catgry>
  <catgry>
    <catValu>30101</catValu>
    <labl>Albertine Rift montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30102</catValu>
    <labl>Atlantic Equatorial coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>30103</catValu>
    <labl>Cameroonian Highlands forests</labl>
  </catgry>
  <catgry>
    <catValu>30104</catValu>
    <labl>Central Congolian lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30105</catValu>
    <labl>Comoros forests</labl>
  </catgry>
  <catgry>
    <catValu>30106</catValu>
    <labl>Cross-Niger transition forests</labl>
  </catgry>
  <catgry>
    <catValu>30107</catValu>
    <labl>Cross-Sanaga-Bioko coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>30108</catValu>
    <labl>East African montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30109</catValu>
    <labl>Eastern Arc forests</labl>
  </catgry>
  <catgry>
    <catValu>30110</catValu>
    <labl>Eastern Congolian swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>30111</catValu>
    <labl>Eastern Guinean forests</labl>
  </catgry>
  <catgry>
    <catValu>30112</catValu>
    <labl>Ethiopian montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30113</catValu>
    <labl>Granitic Seychelles forests</labl>
  </catgry>
  <catgry>
    <catValu>30114</catValu>
    <labl>Guinean montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30115</catValu>
    <labl>Knysna-Amatole montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30116</catValu>
    <labl>KwaZulu-Cape coastal forest mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30117</catValu>
    <labl>Madagascar lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30118</catValu>
    <labl>Madagascar subhumid forests</labl>
  </catgry>
  <catgry>
    <catValu>30119</catValu>
    <labl>Maputaland coastal forest mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30120</catValu>
    <labl>Mascarene forests</labl>
  </catgry>
  <catgry>
    <catValu>30121</catValu>
    <labl>Mount Cameroon and Bioko montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30122</catValu>
    <labl>Niger Delta swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>30123</catValu>
    <labl>Nigerian lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30124</catValu>
    <labl>Northeastern Congolian lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30125</catValu>
    <labl>Northern Zanzibar-Inhambane coastal forest mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30126</catValu>
    <labl>Northwestern Congolian lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30127</catValu>
    <labl>Sao Tome, Principe and Annobon moist lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30128</catValu>
    <labl>Southern Zanzibar-Inhambane coastal forest mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30129</catValu>
    <labl>Western Congolian swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>30130</catValu>
    <labl>Western Guinean lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30201</catValu>
    <labl>Cape Verde Islands dry forests</labl>
  </catgry>
  <catgry>
    <catValu>30202</catValu>
    <labl>Madagascar dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>30203</catValu>
    <labl>Zambezian Cryptosepalum dry forests</labl>
  </catgry>
  <catgry>
    <catValu>30701</catValu>
    <labl>Angolan Miombo woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30702</catValu>
    <labl>Angolan Mopane woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30703</catValu>
    <labl>Ascension scrub and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30704</catValu>
    <labl>Central Zambezian Miombo woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30705</catValu>
    <labl>East Sudanian savanna</labl>
  </catgry>
  <catgry>
    <catValu>30706</catValu>
    <labl>Eastern Miombo woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30707</catValu>
    <labl>Guinean forest-savanna mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30708</catValu>
    <labl>Itigi-Sumbu thicket</labl>
  </catgry>
  <catgry>
    <catValu>30709</catValu>
    <labl>Kalahari Acacia-Baikiaea woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30710</catValu>
    <labl>Mandara Plateau mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30711</catValu>
    <labl>Northern Acacia-Commiphora bushlands and thickets</labl>
  </catgry>
  <catgry>
    <catValu>30712</catValu>
    <labl>Northern Congolian forest-savanna mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30713</catValu>
    <labl>Sahelian Acacia savanna</labl>
  </catgry>
  <catgry>
    <catValu>30714</catValu>
    <labl>Serengeti volcanic grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30715</catValu>
    <labl>Somali Acacia-Commiphora bushlands and thickets</labl>
  </catgry>
  <catgry>
    <catValu>30716</catValu>
    <labl>Southern Acacia-Commiphora bushlands and thickets</labl>
  </catgry>
  <catgry>
    <catValu>30717</catValu>
    <labl>Southern Africa bushveld</labl>
  </catgry>
  <catgry>
    <catValu>30718</catValu>
    <labl>Southern Congolian forest-savanna mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30719</catValu>
    <labl>Southern Miombo woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30720</catValu>
    <labl>St. Helena scrub and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30721</catValu>
    <labl>Victoria Basin forest-savanna mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30722</catValu>
    <labl>West Sudanian savanna</labl>
  </catgry>
  <catgry>
    <catValu>30723</catValu>
    <labl>Western Congolian forest-savanna mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30724</catValu>
    <labl>Western Zambezian grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30725</catValu>
    <labl>Zambezian and Mopane woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30726</catValu>
    <labl>Zambezian Baikiaea woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30801</catValu>
    <labl>Al Hajar montane woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30802</catValu>
    <labl>Amsterdam and Saint-Paul Islands temperate grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30803</catValu>
    <labl>Tristan Da Cunha-Gough Islands shrub and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30901</catValu>
    <labl>East African halophytics</labl>
  </catgry>
  <catgry>
    <catValu>30902</catValu>
    <labl>Etosha Pan halophytics</labl>
  </catgry>
  <catgry>
    <catValu>30903</catValu>
    <labl>Inner Niger Delta flooded savanna</labl>
  </catgry>
  <catgry>
    <catValu>30904</catValu>
    <labl>Lake Chad flooded savanna</labl>
  </catgry>
  <catgry>
    <catValu>30905</catValu>
    <labl>Saharan flooded grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30906</catValu>
    <labl>Zambezian coastal flooded savanna</labl>
  </catgry>
  <catgry>
    <catValu>30907</catValu>
    <labl>Zambezian flooded grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30908</catValu>
    <labl>Zambezian halophytics</labl>
  </catgry>
  <catgry>
    <catValu>31001</catValu>
    <labl>Angolan montane forest-grassland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>31002</catValu>
    <labl>Angolan scarp savanna and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31003</catValu>
    <labl>Drakensberg alti-montane grasslands and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31004</catValu>
    <labl>Drakensberg montane grasslands, woodlands and forests</labl>
  </catgry>
  <catgry>
    <catValu>31005</catValu>
    <labl>East African montane moorlands</labl>
  </catgry>
  <catgry>
    <catValu>31006</catValu>
    <labl>Eastern Zimbabwe montane forest-grassland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>31007</catValu>
    <labl>Ethiopian montane grasslands and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31008</catValu>
    <labl>Ethiopian montane moorlands</labl>
  </catgry>
  <catgry>
    <catValu>31009</catValu>
    <labl>Highveld grasslands</labl>
  </catgry>
  <catgry>
    <catValu>31010</catValu>
    <labl>Jos Plateau forest-grassland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>31011</catValu>
    <labl>Madagascar ericoid thickets</labl>
  </catgry>
  <catgry>
    <catValu>31012</catValu>
    <labl>Maputaland-Pondoland bushland and thickets</labl>
  </catgry>
  <catgry>
    <catValu>31013</catValu>
    <labl>Rwenzori-Virunga montane moorlands</labl>
  </catgry>
  <catgry>
    <catValu>31014</catValu>
    <labl>South Malawi montane forest-grassland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>31015</catValu>
    <labl>Southern Rift montane forest-grassland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>31201</catValu>
    <labl>Albany thickets</labl>
  </catgry>
  <catgry>
    <catValu>31202</catValu>
    <labl>Lowland fynbos and renosterveld</labl>
  </catgry>
  <catgry>
    <catValu>31203</catValu>
    <labl>Montane fynbos and renosterveld</labl>
  </catgry>
  <catgry>
    <catValu>31301</catValu>
    <labl>Aldabra Island xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>31302</catValu>
    <labl>Arabian Peninsula coastal fog desert</labl>
  </catgry>
  <catgry>
    <catValu>31303</catValu>
    <labl>East Saharan montane xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31304</catValu>
    <labl>Eritrean coastal desert</labl>
  </catgry>
  <catgry>
    <catValu>31305</catValu>
    <labl>Ethiopian xeric grasslands and shrublands</labl>
  </catgry>
  <catgry>
    <catValu>31306</catValu>
    <labl>Gulf of Oman desert and semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>31307</catValu>
    <labl>Hobyo grasslands and shrublands</labl>
  </catgry>
  <catgry>
    <catValu>31308</catValu>
    <labl>Ile Europa and Bassas da India xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>31309</catValu>
    <labl>Kalahari xeric savanna</labl>
  </catgry>
  <catgry>
    <catValu>31310</catValu>
    <labl>Kaokoveld desert</labl>
  </catgry>
  <catgry>
    <catValu>31311</catValu>
    <labl>Madagascar spiny thickets</labl>
  </catgry>
  <catgry>
    <catValu>31312</catValu>
    <labl>Madagascar succulent woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31313</catValu>
    <labl>Masai xeric grasslands and shrublands</labl>
  </catgry>
  <catgry>
    <catValu>31314</catValu>
    <labl>Nama Karoo</labl>
  </catgry>
  <catgry>
    <catValu>31315</catValu>
    <labl>Namib desert</labl>
  </catgry>
  <catgry>
    <catValu>31316</catValu>
    <labl>Namibian savanna woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31318</catValu>
    <labl>Socotra Island xeric shrublands</labl>
  </catgry>
  <catgry>
    <catValu>31319</catValu>
    <labl>Somali montane xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31320</catValu>
    <labl>Southwestern Arabian foothills savanna</labl>
  </catgry>
  <catgry>
    <catValu>31321</catValu>
    <labl>Southwestern Arabian montane woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31322</catValu>
    <labl>Succulent Karoo</labl>
  </catgry>
  <catgry>
    <catValu>31401</catValu>
    <labl>Central African mangroves</labl>
  </catgry>
  <catgry>
    <catValu>31402</catValu>
    <labl>East African mangroves</labl>
  </catgry>
  <catgry>
    <catValu>31403</catValu>
    <labl>Guinean mangroves</labl>
  </catgry>
  <catgry>
    <catValu>31404</catValu>
    <labl>Madagascar mangroves</labl>
  </catgry>
  <catgry>
    <catValu>31405</catValu>
    <labl>Southern Africa mangroves</labl>
  </catgry>
  <catgry>
    <catValu>40101</catValu>
    <labl>Andaman Islands rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40102</catValu>
    <labl>Borneo lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40103</catValu>
    <labl>Borneo montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40104</catValu>
    <labl>Borneo peat swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40105</catValu>
    <labl>Brahmaputra Valley semi-evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40106</catValu>
    <labl>Cardamom Mountains rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40107</catValu>
    <labl>Chao Phraya freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40108</catValu>
    <labl>Chao Phraya lowland moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40109</catValu>
    <labl>Chin Hills-Arakan Yoma montane forests</labl>
  </catgry>
  <catgry>
    <catValu>40110</catValu>
    <labl>Christmas and Cocos Islands tropical forests</labl>
  </catgry>
  <catgry>
    <catValu>40111</catValu>
    <labl>Eastern highlands moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40112</catValu>
    <labl>Eastern Java-Bali montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40113</catValu>
    <labl>Eastern Java-Bali rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40114</catValu>
    <labl>Greater Negros-Panay rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40115</catValu>
    <labl>Himalayan subtropical broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>40116</catValu>
    <labl>Irrawaddy freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40117</catValu>
    <labl>Irrawaddy moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40118</catValu>
    <labl>Jian Nan subtropical evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40119</catValu>
    <labl>Kayah-Karen montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40120</catValu>
    <labl>Lower Gangetic Plains moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40121</catValu>
    <labl>Luang Prabang montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40122</catValu>
    <labl>Luzon montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40123</catValu>
    <labl>Luzon rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40124</catValu>
    <labl>Malabar Coast moist forests</labl>
  </catgry>
  <catgry>
    <catValu>40125</catValu>
    <labl>Maldives-Lakshadweep-Chagos Archipelago tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>40126</catValu>
    <labl>Meghalaya subtropical forests</labl>
  </catgry>
  <catgry>
    <catValu>40127</catValu>
    <labl>Mentawai Islands rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40128</catValu>
    <labl>Mindanao montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40129</catValu>
    <labl>Mindanao-Eastern Visayas rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40130</catValu>
    <labl>Mindoro rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40131</catValu>
    <labl>Mizoram-Manipur-Kachin rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40132</catValu>
    <labl>Myanmar coastal rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40133</catValu>
    <labl>Nicobar Islands rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40134</catValu>
    <labl>North Western Ghats moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40135</catValu>
    <labl>North Western Ghats montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40136</catValu>
    <labl>Northern Annamites rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40137</catValu>
    <labl>Northern Indochina subtropical forests</labl>
  </catgry>
  <catgry>
    <catValu>40138</catValu>
    <labl>Northern Khorat Plateau moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40139</catValu>
    <labl>Northern Thailand-Laos moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40140</catValu>
    <labl>Northern Triangle subtropical forests</labl>
  </catgry>
  <catgry>
    <catValu>40141</catValu>
    <labl>Northern Vietnam lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40142</catValu>
    <labl>Orissa semi-evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40143</catValu>
    <labl>Palawan rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40144</catValu>
    <labl>Peninsular Malaysian montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40145</catValu>
    <labl>Peninsular Malaysian peat swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40146</catValu>
    <labl>Peninsular Malaysian rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40147</catValu>
    <labl>Red River freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40148</catValu>
    <labl>South China Sea Islands</labl>
  </catgry>
  <catgry>
    <catValu>40149</catValu>
    <labl>South China-Vietnam subtropical evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40150</catValu>
    <labl>South Western Ghats moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40151</catValu>
    <labl>South Western Ghats montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40152</catValu>
    <labl>Southern Annamites montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40153</catValu>
    <labl>Southwest Borneo freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40154</catValu>
    <labl>Sri Lanka lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40155</catValu>
    <labl>Sri Lanka montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40156</catValu>
    <labl>Sulu Archipelago rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40157</catValu>
    <labl>Sumatran freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40158</catValu>
    <labl>Sumatran lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40159</catValu>
    <labl>Sumatran montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40160</catValu>
    <labl>Sumatran peat swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40161</catValu>
    <labl>Sundaland heath forests</labl>
  </catgry>
  <catgry>
    <catValu>40162</catValu>
    <labl>Sundarbans freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40163</catValu>
    <labl>Tenasserim-South Thailand semi-evergreen rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40164</catValu>
    <labl>Tonle Sap freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40165</catValu>
    <labl>Tonle Sap-Mekong peat swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40166</catValu>
    <labl>Upper Gangetic Plains moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40167</catValu>
    <labl>Western Java montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40168</catValu>
    <labl>Western Java rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40169</catValu>
    <labl>Hainan Island monsoon rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40170</catValu>
    <labl>Nansei Islands subtropical evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40171</catValu>
    <labl>South Taiwan monsoon rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40172</catValu>
    <labl>Taiwan subtropical evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40201</catValu>
    <labl>Central Deccan Plateau dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40202</catValu>
    <labl>Central Indochina dry forests</labl>
  </catgry>
  <catgry>
    <catValu>40203</catValu>
    <labl>Chhota-Nagpur dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40204</catValu>
    <labl>East Deccan dry-evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40205</catValu>
    <labl>Irrawaddy dry forests</labl>
  </catgry>
  <catgry>
    <catValu>40206</catValu>
    <labl>Khathiar-Gir dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40207</catValu>
    <labl>Narmada Valley dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40208</catValu>
    <labl>Northern dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40209</catValu>
    <labl>South Deccan Plateau dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40210</catValu>
    <labl>Southeastern Indochina dry evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40211</catValu>
    <labl>Southern Vietnam lowland dry forests</labl>
  </catgry>
  <catgry>
    <catValu>40212</catValu>
    <labl>Sri Lanka dry-zone dry evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40301</catValu>
    <labl>Himalayan subtropical pine forests</labl>
  </catgry>
  <catgry>
    <catValu>40302</catValu>
    <labl>Luzon tropical pine forests</labl>
  </catgry>
  <catgry>
    <catValu>40303</catValu>
    <labl>Northeast India-Myanmar pine forests</labl>
  </catgry>
  <catgry>
    <catValu>40304</catValu>
    <labl>Sumatran tropical pine forests</labl>
  </catgry>
  <catgry>
    <catValu>40401</catValu>
    <labl>Eastern Himalayan broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>40402</catValu>
    <labl>Northern Triangle temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>40403</catValu>
    <labl>Western Himalayan broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>40501</catValu>
    <labl>Eastern Himalayan subalpine conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>40502</catValu>
    <labl>Western Himalayan subalpine conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>40701</catValu>
    <labl>Terai-Duar savanna and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>40901</catValu>
    <labl>Rann of Kutch seasonal salt marsh</labl>
  </catgry>
  <catgry>
    <catValu>41001</catValu>
    <labl>Kinabalu montane alpine meadows</labl>
  </catgry>
  <catgry>
    <catValu>41301</catValu>
    <labl>Deccan thorn scrub forests</labl>
  </catgry>
  <catgry>
    <catValu>41302</catValu>
    <labl>Indus Valley desert</labl>
  </catgry>
  <catgry>
    <catValu>41303</catValu>
    <labl>Northwestern thorn scrub forests</labl>
  </catgry>
  <catgry>
    <catValu>41304</catValu>
    <labl>Thar desert</labl>
  </catgry>
  <catgry>
    <catValu>41401</catValu>
    <labl>Goadavari-Krishna mangroves</labl>
  </catgry>
  <catgry>
    <catValu>41402</catValu>
    <labl>Indochina mangroves</labl>
  </catgry>
  <catgry>
    <catValu>41403</catValu>
    <labl>Indus River Delta-Arabian Sea mangroves</labl>
  </catgry>
  <catgry>
    <catValu>41404</catValu>
    <labl>Myanmar Coast mangroves</labl>
  </catgry>
  <catgry>
    <catValu>41405</catValu>
    <labl>Sunda Shelf mangroves</labl>
  </catgry>
  <catgry>
    <catValu>41406</catValu>
    <labl>Sundarbans mangroves</labl>
  </catgry>
  <catgry>
    <catValu>50201</catValu>
    <labl>Sonoran-Sinaloan transition subtropical dry forest</labl>
  </catgry>
  <catgry>
    <catValu>50301</catValu>
    <labl>Bermuda subtropical conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>50302</catValu>
    <labl>Sierra Madre Occidental pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>50303</catValu>
    <labl>Sierra Madre Oriental pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>50401</catValu>
    <labl>Allegheny Highlands forests</labl>
  </catgry>
  <catgry>
    <catValu>50402</catValu>
    <labl>Appalachian mixed mesophytic forests</labl>
  </catgry>
  <catgry>
    <catValu>50403</catValu>
    <labl>Appalachian-Blue Ridge forests</labl>
  </catgry>
  <catgry>
    <catValu>50404</catValu>
    <labl>Central U.S. hardwood forests</labl>
  </catgry>
  <catgry>
    <catValu>50405</catValu>
    <labl>East Central Texas forests</labl>
  </catgry>
  <catgry>
    <catValu>50406</catValu>
    <labl>Eastern forest-boreal transition</labl>
  </catgry>
  <catgry>
    <catValu>50407</catValu>
    <labl>Eastern Great Lakes lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>50408</catValu>
    <labl>Gulf of St. Lawrence lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>50409</catValu>
    <labl>Mississippi lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>50410</catValu>
    <labl>New England-Acadian forests</labl>
  </catgry>
  <catgry>
    <catValu>50411</catValu>
    <labl>Northeastern coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50412</catValu>
    <labl>Ozark Mountain forests</labl>
  </catgry>
  <catgry>
    <catValu>50413</catValu>
    <labl>Southeastern mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>50414</catValu>
    <labl>Southern Great Lakes forests</labl>
  </catgry>
  <catgry>
    <catValu>50415</catValu>
    <labl>Upper Midwest forest-savanna transition</labl>
  </catgry>
  <catgry>
    <catValu>50416</catValu>
    <labl>Western Great Lakes forests</labl>
  </catgry>
  <catgry>
    <catValu>50417</catValu>
    <labl>Willamette Valley forests</labl>
  </catgry>
  <catgry>
    <catValu>50501</catValu>
    <labl>Alberta Mountain forests</labl>
  </catgry>
  <catgry>
    <catValu>50502</catValu>
    <labl>Alberta-British Columbia foothills forests</labl>
  </catgry>
  <catgry>
    <catValu>50503</catValu>
    <labl>Arizona Mountains forests</labl>
  </catgry>
  <catgry>
    <catValu>50504</catValu>
    <labl>Atlantic coastal pine barrens</labl>
  </catgry>
  <catgry>
    <catValu>50505</catValu>
    <labl>Blue Mountains forests</labl>
  </catgry>
  <catgry>
    <catValu>50506</catValu>
    <labl>British Columbia mainland coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50507</catValu>
    <labl>Cascade Mountains leeward forests</labl>
  </catgry>
  <catgry>
    <catValu>50508</catValu>
    <labl>Central and Southern Cascades forests</labl>
  </catgry>
  <catgry>
    <catValu>50509</catValu>
    <labl>Central British Columbia Mountain forests</labl>
  </catgry>
  <catgry>
    <catValu>50510</catValu>
    <labl>Central Pacific coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50511</catValu>
    <labl>Colorado Rockies forests</labl>
  </catgry>
  <catgry>
    <catValu>50512</catValu>
    <labl>Eastern Cascades forests</labl>
  </catgry>
  <catgry>
    <catValu>50513</catValu>
    <labl>Florida sand pine scrub</labl>
  </catgry>
  <catgry>
    <catValu>50514</catValu>
    <labl>Fraser Plateau and Basin complex</labl>
  </catgry>
  <catgry>
    <catValu>50515</catValu>
    <labl>Great Basin montane forests</labl>
  </catgry>
  <catgry>
    <catValu>50516</catValu>
    <labl>Klamath-Siskiyou forests</labl>
  </catgry>
  <catgry>
    <catValu>50517</catValu>
    <labl>Middle Atlantic coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50518</catValu>
    <labl>North Central Rockies forests</labl>
  </catgry>
  <catgry>
    <catValu>50519</catValu>
    <labl>Northern California coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50520</catValu>
    <labl>Northern Pacific coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50521</catValu>
    <labl>Northern transitional alpine forests</labl>
  </catgry>
  <catgry>
    <catValu>50522</catValu>
    <labl>Okanagan dry forests</labl>
  </catgry>
  <catgry>
    <catValu>50523</catValu>
    <labl>Piney Woods forests</labl>
  </catgry>
  <catgry>
    <catValu>50524</catValu>
    <labl>Puget lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>50525</catValu>
    <labl>Queen Charlotte Islands</labl>
  </catgry>
  <catgry>
    <catValu>50526</catValu>
    <labl>Sierra Juarez and San Pedro Martir pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>50527</catValu>
    <labl>Sierra Nevada forests</labl>
  </catgry>
  <catgry>
    <catValu>50528</catValu>
    <labl>South Central Rockies forests</labl>
  </catgry>
  <catgry>
    <catValu>50529</catValu>
    <labl>Southeastern conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>50530</catValu>
    <labl>Wasatch and Uinta montane forests</labl>
  </catgry>
  <catgry>
    <catValu>50601</catValu>
    <labl>Alaska Peninsula montane taiga</labl>
  </catgry>
  <catgry>
    <catValu>50602</catValu>
    <labl>Central Canadian Shield forests</labl>
  </catgry>
  <catgry>
    <catValu>50603</catValu>
    <labl>Cook Inlet taiga</labl>
  </catgry>
  <catgry>
    <catValu>50604</catValu>
    <labl>Copper Plateau taiga</labl>
  </catgry>
  <catgry>
    <catValu>50605</catValu>
    <labl>Eastern Canadian forests</labl>
  </catgry>
  <catgry>
    <catValu>50606</catValu>
    <labl>Eastern Canadian Shield taiga</labl>
  </catgry>
  <catgry>
    <catValu>50607</catValu>
    <labl>Interior Alaska-Yukon lowland taiga</labl>
  </catgry>
  <catgry>
    <catValu>50608</catValu>
    <labl>Mid-Continental Canadian forests</labl>
  </catgry>
  <catgry>
    <catValu>50609</catValu>
    <labl>Midwestern Canadian Shield forests</labl>
  </catgry>
  <catgry>
    <catValu>50610</catValu>
    <labl>Muskwa-Slave Lake forests</labl>
  </catgry>
  <catgry>
    <catValu>50611</catValu>
    <labl>Newfoundland Highland forests</labl>
  </catgry>
  <catgry>
    <catValu>50612</catValu>
    <labl>Northern Canadian Shield taiga</labl>
  </catgry>
  <catgry>
    <catValu>50613</catValu>
    <labl>Northern Cordillera forests</labl>
  </catgry>
  <catgry>
    <catValu>50614</catValu>
    <labl>Northwest Territories taiga</labl>
  </catgry>
  <catgry>
    <catValu>50615</catValu>
    <labl>South Avalon-Burin oceanic barrens</labl>
  </catgry>
  <catgry>
    <catValu>50616</catValu>
    <labl>Southern Hudson Bay taiga</labl>
  </catgry>
  <catgry>
    <catValu>50617</catValu>
    <labl>Yukon Interior dry forests</labl>
  </catgry>
  <catgry>
    <catValu>50701</catValu>
    <labl>Western Gulf coastal grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50801</catValu>
    <labl>California Central Valley grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50802</catValu>
    <labl>Canadian Aspen forests and parklands</labl>
  </catgry>
  <catgry>
    <catValu>50803</catValu>
    <labl>Central and Southern mixed grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50804</catValu>
    <labl>Central forest-grasslands transition</labl>
  </catgry>
  <catgry>
    <catValu>50805</catValu>
    <labl>Central tall grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50806</catValu>
    <labl>Edwards Plateau savanna</labl>
  </catgry>
  <catgry>
    <catValu>50807</catValu>
    <labl>Flint Hills tall grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50808</catValu>
    <labl>Montana Valley and Foothill grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50809</catValu>
    <labl>Nebraska Sand Hills mixed grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50810</catValu>
    <labl>Northern mixed grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50811</catValu>
    <labl>Northern short grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50812</catValu>
    <labl>Northern tall grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50813</catValu>
    <labl>Palouse grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50814</catValu>
    <labl>Texas blackland prairies</labl>
  </catgry>
  <catgry>
    <catValu>50815</catValu>
    <labl>Western short grasslands</labl>
  </catgry>
  <catgry>
    <catValu>51101</catValu>
    <labl>Alaska-St. Elias Range tundra</labl>
  </catgry>
  <catgry>
    <catValu>51102</catValu>
    <labl>Aleutian Islands tundra</labl>
  </catgry>
  <catgry>
    <catValu>51103</catValu>
    <labl>Arctic coastal tundra</labl>
  </catgry>
  <catgry>
    <catValu>51104</catValu>
    <labl>Arctic foothills tundra</labl>
  </catgry>
  <catgry>
    <catValu>51105</catValu>
    <labl>Baffin coastal tundra</labl>
  </catgry>
  <catgry>
    <catValu>51106</catValu>
    <labl>Beringia lowland tundra</labl>
  </catgry>
  <catgry>
    <catValu>51107</catValu>
    <labl>Beringia upland tundra</labl>
  </catgry>
  <catgry>
    <catValu>51108</catValu>
    <labl>Brooks-British Range tundra</labl>
  </catgry>
  <catgry>
    <catValu>51109</catValu>
    <labl>Davis Highlands tundra</labl>
  </catgry>
  <catgry>
    <catValu>51110</catValu>
    <labl>High Arctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>51111</catValu>
    <labl>Interior Yukon-Alaska alpine tundra</labl>
  </catgry>
  <catgry>
    <catValu>51112</catValu>
    <labl>Kalaallit Nunaat high arctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>51113</catValu>
    <labl>Kalaallit Nunaat low arctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>51114</catValu>
    <labl>Low Arctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>51115</catValu>
    <labl>Middle Arctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>51116</catValu>
    <labl>Ogilvie-MacKenzie alpine tundra</labl>
  </catgry>
  <catgry>
    <catValu>51117</catValu>
    <labl>Pacific Coastal Mountain icefields and tundra</labl>
  </catgry>
  <catgry>
    <catValu>51118</catValu>
    <labl>Torngat Mountain tundra</labl>
  </catgry>
  <catgry>
    <catValu>51201</catValu>
    <labl>California coastal sage and chaparral</labl>
  </catgry>
  <catgry>
    <catValu>51202</catValu>
    <labl>California interior chaparral and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>51203</catValu>
    <labl>California montane chaparral and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>51301</catValu>
    <labl>Baja California desert</labl>
  </catgry>
  <catgry>
    <catValu>51302</catValu>
    <labl>Central Mexican matorral</labl>
  </catgry>
  <catgry>
    <catValu>51303</catValu>
    <labl>Chihuahuan desert</labl>
  </catgry>
  <catgry>
    <catValu>51304</catValu>
    <labl>Colorado Plateau shrublands</labl>
  </catgry>
  <catgry>
    <catValu>51305</catValu>
    <labl>Great Basin shrub steppe</labl>
  </catgry>
  <catgry>
    <catValu>51306</catValu>
    <labl>Gulf of California xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>51307</catValu>
    <labl>Meseta Central matorral</labl>
  </catgry>
  <catgry>
    <catValu>51308</catValu>
    <labl>Mojave desert</labl>
  </catgry>
  <catgry>
    <catValu>51309</catValu>
    <labl>Snake-Columbia shrub steppe</labl>
  </catgry>
  <catgry>
    <catValu>51310</catValu>
    <labl>Sonoran desert</labl>
  </catgry>
  <catgry>
    <catValu>51311</catValu>
    <labl>Tamaulipan matorral</labl>
  </catgry>
  <catgry>
    <catValu>51312</catValu>
    <labl>Tamaulipan mezquital</labl>
  </catgry>
  <catgry>
    <catValu>51313</catValu>
    <labl>Wyoming Basin shrub steppe</labl>
  </catgry>
  <catgry>
    <catValu>60101</catValu>
    <labl>Araucaria moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60102</catValu>
    <labl>Atlantic Coast restingas</labl>
  </catgry>
  <catgry>
    <catValu>60103</catValu>
    <labl>Bahia coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>60104</catValu>
    <labl>Bahia interior forests</labl>
  </catgry>
  <catgry>
    <catValu>60105</catValu>
    <labl>Bolivian Yungas</labl>
  </catgry>
  <catgry>
    <catValu>60106</catValu>
    <labl>Caatinga Enclaves moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60107</catValu>
    <labl>Caqueta moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60108</catValu>
    <labl>Catatumbo moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60109</catValu>
    <labl>Cauca Valley montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60110</catValu>
    <labl>Cayos Miskitos-San Andrés and Providencia moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60111</catValu>
    <labl>Central American Atlantic moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60112</catValu>
    <labl>Central American montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60113</catValu>
    <labl>Chiapas montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60114</catValu>
    <labl>Chimalapas montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60115</catValu>
    <labl>Chocó-Darién moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60116</catValu>
    <labl>Cocos Island moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60117</catValu>
    <labl>Cordillera La Costa montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60118</catValu>
    <labl>Cordillera Oriental montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60119</catValu>
    <labl>Costa Rican seasonal moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60120</catValu>
    <labl>Cuban moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60121</catValu>
    <labl>Eastern Cordillera real montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60122</catValu>
    <labl>Eastern Panamanian montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60123</catValu>
    <labl>Fernando de Noronha-Atol das Rocas moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60124</catValu>
    <labl>Guianan Highlands moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60125</catValu>
    <labl>Guianan moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60126</catValu>
    <labl>Gurupa varzeá</labl>
  </catgry>
  <catgry>
    <catValu>60127</catValu>
    <labl>Hispaniolan moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60128</catValu>
    <labl>Iquitos varzeá</labl>
  </catgry>
  <catgry>
    <catValu>60129</catValu>
    <labl>Isthmian-Atlantic moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60130</catValu>
    <labl>Isthmian-Pacific moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60131</catValu>
    <labl>Jamaican moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60132</catValu>
    <labl>Japurá-Solimoes-Negro moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60133</catValu>
    <labl>Juruá-Purus moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60134</catValu>
    <labl>Leeward Islands moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60135</catValu>
    <labl>Madeira-Tapajós moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60136</catValu>
    <labl>Magdalena Valley montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60137</catValu>
    <labl>Magdalena-Urabá moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60138</catValu>
    <labl>Marajó varzeá</labl>
  </catgry>
  <catgry>
    <catValu>60139</catValu>
    <labl>Maranhão Babaçu forests</labl>
  </catgry>
  <catgry>
    <catValu>60140</catValu>
    <labl>Mato Grosso seasonal forests</labl>
  </catgry>
  <catgry>
    <catValu>60141</catValu>
    <labl>Monte Alegre varzeá</labl>
  </catgry>
  <catgry>
    <catValu>60142</catValu>
    <labl>Napo moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60143</catValu>
    <labl>Negro-Branco moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60144</catValu>
    <labl>Northeastern Brazil restingas</labl>
  </catgry>
  <catgry>
    <catValu>60145</catValu>
    <labl>Northwestern Andean montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60146</catValu>
    <labl>Oaxacan montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60147</catValu>
    <labl>Orinoco Delta swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>60148</catValu>
    <labl>Pantanos de Centla</labl>
  </catgry>
  <catgry>
    <catValu>60149</catValu>
    <labl>Guianan freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>60150</catValu>
    <labl>Alto Paraná Atlantic forests</labl>
  </catgry>
  <catgry>
    <catValu>60151</catValu>
    <labl>Pernambuco coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>60152</catValu>
    <labl>Pernambuco interior forests</labl>
  </catgry>
  <catgry>
    <catValu>60153</catValu>
    <labl>Peruvian Yungas</labl>
  </catgry>
  <catgry>
    <catValu>60154</catValu>
    <labl>Petén-Veracruz moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60155</catValu>
    <labl>Puerto Rican moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60156</catValu>
    <labl>Purus varzeá</labl>
  </catgry>
  <catgry>
    <catValu>60157</catValu>
    <labl>Purus-Madeira moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60158</catValu>
    <labl>Rio Negro campinarana</labl>
  </catgry>
  <catgry>
    <catValu>60159</catValu>
    <labl>Santa Marta montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60160</catValu>
    <labl>Serra do Mar coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>60161</catValu>
    <labl>Sierra de los Tuxtlas</labl>
  </catgry>
  <catgry>
    <catValu>60162</catValu>
    <labl>Sierra Madre de Chiapas moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60163</catValu>
    <labl>Solimões-Japurá moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60164</catValu>
    <labl>South Florida rocklands</labl>
  </catgry>
  <catgry>
    <catValu>60165</catValu>
    <labl>Southern Andean Yungas</labl>
  </catgry>
  <catgry>
    <catValu>60166</catValu>
    <labl>Southwest Amazon moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60167</catValu>
    <labl>Talamancan montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60168</catValu>
    <labl>Tapajós-Xingu moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60169</catValu>
    <labl>Pantepui</labl>
  </catgry>
  <catgry>
    <catValu>60170</catValu>
    <labl>Tocantins/Pindare moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60171</catValu>
    <labl>Trinidad and Tobago moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60172</catValu>
    <labl>Trindade-Martin Vaz Islands tropical forests</labl>
  </catgry>
  <catgry>
    <catValu>60173</catValu>
    <labl>Uatuma-Trombetas moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60174</catValu>
    <labl>Ucayali moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60175</catValu>
    <labl>Venezuelan Andes montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60176</catValu>
    <labl>Veracruz moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60177</catValu>
    <labl>Veracruz montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60178</catValu>
    <labl>Western Ecuador moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60179</catValu>
    <labl>Windward Islands moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60180</catValu>
    <labl>Xingu-Tocantins-Araguaia moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60181</catValu>
    <labl>Yucatán moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60182</catValu>
    <labl>Guianan piedmont and lowland moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60201</catValu>
    <labl>Apure-Villavicencio dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60202</catValu>
    <labl>Atlantic dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60204</catValu>
    <labl>Bajío dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60205</catValu>
    <labl>Balsas dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60206</catValu>
    <labl>Bolivian montane dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60207</catValu>
    <labl>Cauca Valley dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60209</catValu>
    <labl>Central American dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60210</catValu>
    <labl>Dry Chaco</labl>
  </catgry>
  <catgry>
    <catValu>60211</catValu>
    <labl>Chiapas Depression dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60212</catValu>
    <labl>Chiquitano dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60213</catValu>
    <labl>Cuban dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60214</catValu>
    <labl>Ecuadorian dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60215</catValu>
    <labl>Hispaniolan dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60216</catValu>
    <labl>Islas Revillagigedo dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60217</catValu>
    <labl>Jalisco dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60218</catValu>
    <labl>Jamaican dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60219</catValu>
    <labl>Lara-Falcón dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60220</catValu>
    <labl>Lesser Antillean dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60221</catValu>
    <labl>Magdalena Valley dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60222</catValu>
    <labl>Maracaibo dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60223</catValu>
    <labl>Marañón dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60224</catValu>
    <labl>Panamanian dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60225</catValu>
    <labl>Patía Valley dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60226</catValu>
    <labl>Puerto Rican dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60227</catValu>
    <labl>Sierra de la Laguna dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60228</catValu>
    <labl>Sinaloan dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60229</catValu>
    <labl>Sinú Valley dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60230</catValu>
    <labl>Southern Pacific dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60232</catValu>
    <labl>Tumbes-Piura dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60233</catValu>
    <labl>Veracruz dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60235</catValu>
    <labl>Yucatán dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60301</catValu>
    <labl>Bahamian pine mosaic</labl>
  </catgry>
  <catgry>
    <catValu>60302</catValu>
    <labl>Belizian pine forests</labl>
  </catgry>
  <catgry>
    <catValu>60303</catValu>
    <labl>Central American pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>60304</catValu>
    <labl>Cuban pine forests</labl>
  </catgry>
  <catgry>
    <catValu>60305</catValu>
    <labl>Hispaniolan pine forests</labl>
  </catgry>
  <catgry>
    <catValu>60306</catValu>
    <labl>Miskito pine forests</labl>
  </catgry>
  <catgry>
    <catValu>60307</catValu>
    <labl>Sierra de la Laguna pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>60308</catValu>
    <labl>Sierra Madre de Oaxaca pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>60309</catValu>
    <labl>Sierra Madre del Sur pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>60310</catValu>
    <labl>Trans-Mexican Volcanic Belt pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>60401</catValu>
    <labl>Juan Fernández Islands temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>60402</catValu>
    <labl>Magellanic subpolar forests</labl>
  </catgry>
  <catgry>
    <catValu>60403</catValu>
    <labl>San Félix-San Ambrosio Islands temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>60404</catValu>
    <labl>Valdivian temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>60702</catValu>
    <labl>Beni savanna</labl>
  </catgry>
  <catgry>
    <catValu>60703</catValu>
    <labl>Campos Rupestres montane savanna</labl>
  </catgry>
  <catgry>
    <catValu>60704</catValu>
    <labl>Cerrado</labl>
  </catgry>
  <catgry>
    <catValu>60705</catValu>
    <labl>Clipperton Island shrub and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>60707</catValu>
    <labl>Guianan savanna</labl>
  </catgry>
  <catgry>
    <catValu>60708</catValu>
    <labl>Humid Chaco</labl>
  </catgry>
  <catgry>
    <catValu>60709</catValu>
    <labl>Llanos</labl>
  </catgry>
  <catgry>
    <catValu>60710</catValu>
    <labl>Uruguayan savanna</labl>
  </catgry>
  <catgry>
    <catValu>60801</catValu>
    <labl>Espinal</labl>
  </catgry>
  <catgry>
    <catValu>60802</catValu>
    <labl>Low Monte</labl>
  </catgry>
  <catgry>
    <catValu>60803</catValu>
    <labl>Humid Pampas</labl>
  </catgry>
  <catgry>
    <catValu>60805</catValu>
    <labl>Patagonian steppe</labl>
  </catgry>
  <catgry>
    <catValu>60902</catValu>
    <labl>Cuban wetlands</labl>
  </catgry>
  <catgry>
    <catValu>60903</catValu>
    <labl>Enriquillo wetlands</labl>
  </catgry>
  <catgry>
    <catValu>60904</catValu>
    <labl>Everglades</labl>
  </catgry>
  <catgry>
    <catValu>60905</catValu>
    <labl>Guayaquil flooded grasslands</labl>
  </catgry>
  <catgry>
    <catValu>60906</catValu>
    <labl>Orinoco wetlands</labl>
  </catgry>
  <catgry>
    <catValu>60907</catValu>
    <labl>Pantanal</labl>
  </catgry>
  <catgry>
    <catValu>60908</catValu>
    <labl>Paraná flooded savanna</labl>
  </catgry>
  <catgry>
    <catValu>60909</catValu>
    <labl>Southern Cone Mesopotamian savanna</labl>
  </catgry>
  <catgry>
    <catValu>61001</catValu>
    <labl>Central Andean dry puna</labl>
  </catgry>
  <catgry>
    <catValu>61002</catValu>
    <labl>Central Andean puna</labl>
  </catgry>
  <catgry>
    <catValu>61003</catValu>
    <labl>Central Andean wet puna</labl>
  </catgry>
  <catgry>
    <catValu>61004</catValu>
    <labl>Cordillera Central páramo</labl>
  </catgry>
  <catgry>
    <catValu>61005</catValu>
    <labl>Cordillera de Merida páramo</labl>
  </catgry>
  <catgry>
    <catValu>61006</catValu>
    <labl>Northern Andean páramo</labl>
  </catgry>
  <catgry>
    <catValu>61007</catValu>
    <labl>Santa Marta páramo</labl>
  </catgry>
  <catgry>
    <catValu>61008</catValu>
    <labl>Southern Andean steppe</labl>
  </catgry>
  <catgry>
    <catValu>61010</catValu>
    <labl>High Monte</labl>
  </catgry>
  <catgry>
    <catValu>61201</catValu>
    <labl>Chilean matorral</labl>
  </catgry>
  <catgry>
    <catValu>61301</catValu>
    <labl>Araya and Paria xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>61303</catValu>
    <labl>Atacama desert</labl>
  </catgry>
  <catgry>
    <catValu>61304</catValu>
    <labl>Caatinga</labl>
  </catgry>
  <catgry>
    <catValu>61305</catValu>
    <labl>Caribbean shrublands</labl>
  </catgry>
  <catgry>
    <catValu>61306</catValu>
    <labl>Cuban cactus scrub</labl>
  </catgry>
  <catgry>
    <catValu>61307</catValu>
    <labl>Galápagos Islands scrubland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>61308</catValu>
    <labl>Guajira-Barranquilla xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>61309</catValu>
    <labl>La Costa xeric shrublands</labl>
  </catgry>
  <catgry>
    <catValu>61311</catValu>
    <labl>Malpelo Island xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>61312</catValu>
    <labl>Motagua Valley thornscrub</labl>
  </catgry>
  <catgry>
    <catValu>61313</catValu>
    <labl>Paraguana xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>61314</catValu>
    <labl>San Lucan xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>61315</catValu>
    <labl>Sechura desert</labl>
  </catgry>
  <catgry>
    <catValu>61316</catValu>
    <labl>Tehuacán Valley matorral</labl>
  </catgry>
  <catgry>
    <catValu>61318</catValu>
    <labl>St. Peter and St. Paul rocks</labl>
  </catgry>
  <catgry>
    <catValu>61401</catValu>
    <labl>Amazon-Orinoco-Southern Caribbean mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61402</catValu>
    <labl>Bahamian-Antillean mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61403</catValu>
    <labl>Mesoamerican Gulf-Caribbean mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61404</catValu>
    <labl>Northern Mesoamerican Pacific mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61405</catValu>
    <labl>South American Pacific mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61406</catValu>
    <labl>Southern Atlantic mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61407</catValu>
    <labl>Southern Mesoamerican Pacific mangroves</labl>
  </catgry>
  <catgry>
    <catValu>70101</catValu>
    <labl>Carolines tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70102</catValu>
    <labl>Central Polynesian tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70103</catValu>
    <labl>Cook Islands tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70104</catValu>
    <labl>Eastern Micronesia tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70105</catValu>
    <labl>Fiji tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70106</catValu>
    <labl>Hawaii tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70107</catValu>
    <labl>Kermadec Islands subtropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70108</catValu>
    <labl>Marquesas tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70109</catValu>
    <labl>Ogasawara subtropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70110</catValu>
    <labl>Palau tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70111</catValu>
    <labl>Rapa Nui subtropical broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>70112</catValu>
    <labl>Samoan tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70113</catValu>
    <labl>Society Islands tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70114</catValu>
    <labl>Tongan tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70115</catValu>
    <labl>Tuamotu tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70116</catValu>
    <labl>Tubuai tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70117</catValu>
    <labl>Western Polynesian tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70201</catValu>
    <labl>Fiji tropical dry forests</labl>
  </catgry>
  <catgry>
    <catValu>70202</catValu>
    <labl>Hawaii tropical dry forests</labl>
  </catgry>
  <catgry>
    <catValu>70203</catValu>
    <labl>Marianas tropical dry forests</labl>
  </catgry>
  <catgry>
    <catValu>70204</catValu>
    <labl>Yap tropical dry forests</labl>
  </catgry>
  <catgry>
    <catValu>70701</catValu>
    <labl>Hawaii tropical high shrublands</labl>
  </catgry>
  <catgry>
    <catValu>70702</catValu>
    <labl>Hawaii tropical low shrublands</labl>
  </catgry>
  <catgry>
    <catValu>70703</catValu>
    <labl>Northwestern Hawaii scrub</labl>
  </catgry>
  <catgry>
    <catValu>80101</catValu>
    <labl>Guizhou Plateau broadleaf and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80102</catValu>
    <labl>Yunnan Plateau subtropical evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80401</catValu>
    <labl>Appenine deciduous montane forests</labl>
  </catgry>
  <catgry>
    <catValu>80402</catValu>
    <labl>Atlantic mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80403</catValu>
    <labl>Azores temperate mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80404</catValu>
    <labl>Balkan mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80405</catValu>
    <labl>Baltic mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80406</catValu>
    <labl>Cantabrian mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80407</catValu>
    <labl>Caspian Hyrcanian mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80408</catValu>
    <labl>Caucasus mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80409</catValu>
    <labl>Celtic broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>80410</catValu>
    <labl>Central Anatolian steppe and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>80411</catValu>
    <labl>Central China loess plateau mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80412</catValu>
    <labl>Central European mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80413</catValu>
    <labl>Central Korean deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80414</catValu>
    <labl>Changbai Mountains mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80415</catValu>
    <labl>Changjiang Plain evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80416</catValu>
    <labl>Crimean Submediterranean forest complex</labl>
  </catgry>
  <catgry>
    <catValu>80417</catValu>
    <labl>Daba Mountains evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80418</catValu>
    <labl>Dinaric Mountains mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80419</catValu>
    <labl>East European forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80420</catValu>
    <labl>Eastern Anatolian deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80421</catValu>
    <labl>English Lowlands beech forests</labl>
  </catgry>
  <catgry>
    <catValu>80422</catValu>
    <labl>Euxine-Colchic broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>80423</catValu>
    <labl>Hokkaido deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80424</catValu>
    <labl>Huang He Plain mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80425</catValu>
    <labl>Madeira evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80426</catValu>
    <labl>Manchurian mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80427</catValu>
    <labl>Nihonkai evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80428</catValu>
    <labl>Nihonkai montane deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80429</catValu>
    <labl>North Atlantic moist mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80430</catValu>
    <labl>Northeast China Plain deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80431</catValu>
    <labl>Pannonian mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80432</catValu>
    <labl>Po Basin mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80433</catValu>
    <labl>Pyrenees conifer and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80434</catValu>
    <labl>Qin Ling Mountains deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80435</catValu>
    <labl>Rodope montane mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80436</catValu>
    <labl>Sarmatic mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80437</catValu>
    <labl>Sichuan Basin evergreen broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>80438</catValu>
    <labl>South Sakhalin-Kurile mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80439</catValu>
    <labl>Southern Korea evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80440</catValu>
    <labl>Taiheiyo evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80441</catValu>
    <labl>Taiheiyo montane deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80442</catValu>
    <labl>Tarim Basin deciduous forests and steppe</labl>
  </catgry>
  <catgry>
    <catValu>80443</catValu>
    <labl>Ussuri broadleaf and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80444</catValu>
    <labl>Western Siberian hemiboreal forests</labl>
  </catgry>
  <catgry>
    <catValu>80445</catValu>
    <labl>Western European broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>80446</catValu>
    <labl>Zagros Mountains forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80501</catValu>
    <labl>Alps conifer and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80502</catValu>
    <labl>Altai montane forest and forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80503</catValu>
    <labl>Caledon conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80504</catValu>
    <labl>Carpathian montane forests</labl>
  </catgry>
  <catgry>
    <catValu>80505</catValu>
    <labl>Da Hinggan-Dzhagdy Mountains conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80506</catValu>
    <labl>East Afghan montane conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80507</catValu>
    <labl>Elburz Range forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80508</catValu>
    <labl>Helanshan montane conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80509</catValu>
    <labl>Hengduan Mountains subalpine conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80510</catValu>
    <labl>Hokkaido montane conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80511</catValu>
    <labl>Honshu alpine conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80512</catValu>
    <labl>Khangai Mountains conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80513</catValu>
    <labl>Mediterranean conifer and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80514</catValu>
    <labl>Northeastern Himalayan subalpine conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80515</catValu>
    <labl>Northern Anatolian conifer and deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80516</catValu>
    <labl>Nujiang Langcang Gorge alpine conifer and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80517</catValu>
    <labl>Qilian Mountains conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80518</catValu>
    <labl>Qionglai-Minshan conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80519</catValu>
    <labl>Sayan montane conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80520</catValu>
    <labl>Scandinavian coastal conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80521</catValu>
    <labl>Tian Shan montane conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80601</catValu>
    <labl>East Siberian taiga</labl>
  </catgry>
  <catgry>
    <catValu>80602</catValu>
    <labl>Iceland boreal birch forests and alpine tundra</labl>
  </catgry>
  <catgry>
    <catValu>80603</catValu>
    <labl>Kamchatka-Kurile meadows and sparse forests</labl>
  </catgry>
  <catgry>
    <catValu>80604</catValu>
    <labl>Kamchatka-Kurile taiga</labl>
  </catgry>
  <catgry>
    <catValu>80605</catValu>
    <labl>Northeast Siberian taiga</labl>
  </catgry>
  <catgry>
    <catValu>80606</catValu>
    <labl>Okhotsk-Manchurian taiga</labl>
  </catgry>
  <catgry>
    <catValu>80607</catValu>
    <labl>Sakhalin Island taiga</labl>
  </catgry>
  <catgry>
    <catValu>80608</catValu>
    <labl>Scandinavian and Russian taiga</labl>
  </catgry>
  <catgry>
    <catValu>80609</catValu>
    <labl>Trans-Baikal conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80610</catValu>
    <labl>Ural montane forests and tundra</labl>
  </catgry>
  <catgry>
    <catValu>80611</catValu>
    <labl>West Siberian taiga</labl>
  </catgry>
  <catgry>
    <catValu>80801</catValu>
    <labl>Alai-Western Tian Shan steppe</labl>
  </catgry>
  <catgry>
    <catValu>80802</catValu>
    <labl>Altai steppe and semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>80803</catValu>
    <labl>Central Anatolian steppe</labl>
  </catgry>
  <catgry>
    <catValu>80804</catValu>
    <labl>Daurian forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80805</catValu>
    <labl>Eastern Anatolian montane steppe</labl>
  </catgry>
  <catgry>
    <catValu>80806</catValu>
    <labl>Emin Valley steppe</labl>
  </catgry>
  <catgry>
    <catValu>80807</catValu>
    <labl>Faroe Islands boreal grasslands</labl>
  </catgry>
  <catgry>
    <catValu>80808</catValu>
    <labl>Gissaro-Alai open woodlands</labl>
  </catgry>
  <catgry>
    <catValu>80809</catValu>
    <labl>Kazakh forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80810</catValu>
    <labl>Kazakh steppe</labl>
  </catgry>
  <catgry>
    <catValu>80811</catValu>
    <labl>Kazakh upland</labl>
  </catgry>
  <catgry>
    <catValu>80812</catValu>
    <labl>Middle East steppe</labl>
  </catgry>
  <catgry>
    <catValu>80813</catValu>
    <labl>Mongolian-Manchurian grassland</labl>
  </catgry>
  <catgry>
    <catValu>80814</catValu>
    <labl>Pontic steppe</labl>
  </catgry>
  <catgry>
    <catValu>80815</catValu>
    <labl>Sayan Intermontane steppe</labl>
  </catgry>
  <catgry>
    <catValu>80816</catValu>
    <labl>Selenge-Orkhon forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80817</catValu>
    <labl>South Siberian forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80818</catValu>
    <labl>Tian Shan foothill arid steppe</labl>
  </catgry>
  <catgry>
    <catValu>80901</catValu>
    <labl>Amur meadow steppe</labl>
  </catgry>
  <catgry>
    <catValu>80902</catValu>
    <labl>Bohai Sea saline meadow</labl>
  </catgry>
  <catgry>
    <catValu>80903</catValu>
    <labl>Nenjiang River grassland</labl>
  </catgry>
  <catgry>
    <catValu>80904</catValu>
    <labl>Nile Delta flooded savanna</labl>
  </catgry>
  <catgry>
    <catValu>80905</catValu>
    <labl>Saharan halophytics</labl>
  </catgry>
  <catgry>
    <catValu>80906</catValu>
    <labl>Tigris-Euphrates alluvial salt marsh</labl>
  </catgry>
  <catgry>
    <catValu>80907</catValu>
    <labl>Suiphun-Khanka meadows and forest meadows</labl>
  </catgry>
  <catgry>
    <catValu>80908</catValu>
    <labl>Yellow Sea saline meadow</labl>
  </catgry>
  <catgry>
    <catValu>81001</catValu>
    <labl>Altai alpine meadow and tundra</labl>
  </catgry>
  <catgry>
    <catValu>81002</catValu>
    <labl>Central Tibetan Plateau alpine steppe</labl>
  </catgry>
  <catgry>
    <catValu>81003</catValu>
    <labl>Eastern Himalayan alpine shrub and meadows</labl>
  </catgry>
  <catgry>
    <catValu>81004</catValu>
    <labl>Ghorat-Hazarajat alpine meadow</labl>
  </catgry>
  <catgry>
    <catValu>81005</catValu>
    <labl>Hindu Kush alpine meadow</labl>
  </catgry>
  <catgry>
    <catValu>81006</catValu>
    <labl>Karakoram-West Tibetan Plateau alpine steppe</labl>
  </catgry>
  <catgry>
    <catValu>81007</catValu>
    <labl>Khangai Mountains alpine meadow</labl>
  </catgry>
  <catgry>
    <catValu>81008</catValu>
    <labl>Kopet Dag woodlands and forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>81009</catValu>
    <labl>Kuh Rud and Eastern Iran montane woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81010</catValu>
    <labl>Mediterranean High Atlas juniper steppe</labl>
  </catgry>
  <catgry>
    <catValu>81011</catValu>
    <labl>North Tibetan Plateau-Kunlun Mountains alpine desert</labl>
  </catgry>
  <catgry>
    <catValu>81012</catValu>
    <labl>Northwestern Himalayan alpine shrub and meadows</labl>
  </catgry>
  <catgry>
    <catValu>81013</catValu>
    <labl>Ordos Plateau steppe</labl>
  </catgry>
  <catgry>
    <catValu>81014</catValu>
    <labl>Pamir alpine desert and tundra</labl>
  </catgry>
  <catgry>
    <catValu>81015</catValu>
    <labl>Qilian Mountains subalpine meadows</labl>
  </catgry>
  <catgry>
    <catValu>81016</catValu>
    <labl>Sayan Alpine meadows and tundra</labl>
  </catgry>
  <catgry>
    <catValu>81017</catValu>
    <labl>Southeast Tibet shrublands and meadows</labl>
  </catgry>
  <catgry>
    <catValu>81018</catValu>
    <labl>Sulaiman Range alpine meadows</labl>
  </catgry>
  <catgry>
    <catValu>81019</catValu>
    <labl>Tian Shan montane steppe and meadows</labl>
  </catgry>
  <catgry>
    <catValu>81020</catValu>
    <labl>Tibetan Plateau alpine shrublands and meadows</labl>
  </catgry>
  <catgry>
    <catValu>81021</catValu>
    <labl>Western Himalayan alpine shrub and Meadows</labl>
  </catgry>
  <catgry>
    <catValu>81022</catValu>
    <labl>Yarlung Tsangpo arid steppe</labl>
  </catgry>
  <catgry>
    <catValu>81101</catValu>
    <labl>Arctic desert</labl>
  </catgry>
  <catgry>
    <catValu>81102</catValu>
    <labl>Bering tundra</labl>
  </catgry>
  <catgry>
    <catValu>81103</catValu>
    <labl>Cherskii-Kolyma mountain tundra</labl>
  </catgry>
  <catgry>
    <catValu>81104</catValu>
    <labl>Chukchi Peninsula tundra</labl>
  </catgry>
  <catgry>
    <catValu>81105</catValu>
    <labl>Kamchatka Mountain tundra and forest tundra</labl>
  </catgry>
  <catgry>
    <catValu>81106</catValu>
    <labl>Kola Peninsula tundra</labl>
  </catgry>
  <catgry>
    <catValu>81107</catValu>
    <labl>Northeast Siberian coastal tundra</labl>
  </catgry>
  <catgry>
    <catValu>81108</catValu>
    <labl>Northwest Russian-Novaya Zemlya tundra</labl>
  </catgry>
  <catgry>
    <catValu>81109</catValu>
    <labl>Novosibirsk Islands arctic desert</labl>
  </catgry>
  <catgry>
    <catValu>81110</catValu>
    <labl>Scandinavian Montane Birch forest and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>81111</catValu>
    <labl>Taimyr-Central Siberian tundra</labl>
  </catgry>
  <catgry>
    <catValu>81112</catValu>
    <labl>Trans-Baikal Bald Mountain tundra</labl>
  </catgry>
  <catgry>
    <catValu>81113</catValu>
    <labl>Wrangel Island arctic desert</labl>
  </catgry>
  <catgry>
    <catValu>81114</catValu>
    <labl>Yamal-Gydan tundra</labl>
  </catgry>
  <catgry>
    <catValu>81201</catValu>
    <labl>Aegean and Western Turkey sclerophyllous and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81202</catValu>
    <labl>Anatolian conifer and deciduous mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81203</catValu>
    <labl>Canary Islands dry woodlands and forests</labl>
  </catgry>
  <catgry>
    <catValu>81204</catValu>
    <labl>Corsican montane broadleaf and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81205</catValu>
    <labl>Crete Mediterranean forests</labl>
  </catgry>
  <catgry>
    <catValu>81206</catValu>
    <labl>Cyprus Mediterranean forests</labl>
  </catgry>
  <catgry>
    <catValu>81207</catValu>
    <labl>Eastern Mediterranean conifer-sclerophyllous-broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>81208</catValu>
    <labl>Iberian conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>81209</catValu>
    <labl>Iberian sclerophyllous and semi-deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>81210</catValu>
    <labl>Illyrian deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>81211</catValu>
    <labl>Italian sclerophyllous and semi-deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>81212</catValu>
    <labl>Mediterranean acacia-argania dry woodlands and succulent thickets</labl>
  </catgry>
  <catgry>
    <catValu>81213</catValu>
    <labl>Mediterranean dry woodlands and steppe</labl>
  </catgry>
  <catgry>
    <catValu>81214</catValu>
    <labl>Mediterranean woodlands and forests</labl>
  </catgry>
  <catgry>
    <catValu>81215</catValu>
    <labl>Northeastern Spain and Southern France Mediterranean forests</labl>
  </catgry>
  <catgry>
    <catValu>81216</catValu>
    <labl>Northwest Iberian montane forests</labl>
  </catgry>
  <catgry>
    <catValu>81217</catValu>
    <labl>Pindus Mountains mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81218</catValu>
    <labl>South Appenine mixed montane forests</labl>
  </catgry>
  <catgry>
    <catValu>81219</catValu>
    <labl>Southeastern Iberian shrubs and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81220</catValu>
    <labl>Southern Anatolian montane conifer and deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>81221</catValu>
    <labl>Southwest Iberian Mediterranean sclerophyllous and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81222</catValu>
    <labl>Tyrrhenian-Adriatic Sclerophyllous and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81301</catValu>
    <labl>Afghan Mountains semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81302</catValu>
    <labl>Alashan Plateau semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81303</catValu>
    <labl>Arabian Desert and East Sahero-Arabian xeric shrublands</labl>
  </catgry>
  <catgry>
    <catValu>81304</catValu>
    <labl>Atlantic coastal desert</labl>
  </catgry>
  <catgry>
    <catValu>81305</catValu>
    <labl>Azerbaijan shrub desert and steppe</labl>
  </catgry>
  <catgry>
    <catValu>81306</catValu>
    <labl>Badghyz and Karabil semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81307</catValu>
    <labl>Baluchistan xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81308</catValu>
    <labl>Caspian lowland desert</labl>
  </catgry>
  <catgry>
    <catValu>81309</catValu>
    <labl>Central Afghan Mountains xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81310</catValu>
    <labl>Central Asian northern desert</labl>
  </catgry>
  <catgry>
    <catValu>81311</catValu>
    <labl>Central Asian riparian woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81312</catValu>
    <labl>Central Asian southern desert</labl>
  </catgry>
  <catgry>
    <catValu>81313</catValu>
    <labl>Central Persian desert basins</labl>
  </catgry>
  <catgry>
    <catValu>81314</catValu>
    <labl>Eastern Gobi desert steppe</labl>
  </catgry>
  <catgry>
    <catValu>81315</catValu>
    <labl>Gobi Lakes Valley desert steppe</labl>
  </catgry>
  <catgry>
    <catValu>81316</catValu>
    <labl>Great Lakes Basin desert steppe</labl>
  </catgry>
  <catgry>
    <catValu>81317</catValu>
    <labl>Junggar Basin semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81318</catValu>
    <labl>Kazakh semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81319</catValu>
    <labl>Kopet Dag semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81320</catValu>
    <labl>Mesopotamian shrub desert</labl>
  </catgry>
  <catgry>
    <catValu>81321</catValu>
    <labl>North Saharan steppe and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81322</catValu>
    <labl>Paropamisus xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81323</catValu>
    <labl>Persian Gulf desert and semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81324</catValu>
    <labl>Qaidam Basin semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81325</catValu>
    <labl>Red Sea Nubo-Sindian tropical desert and semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81326</catValu>
    <labl>Registan-North Pakistan sandy desert</labl>
  </catgry>
  <catgry>
    <catValu>81327</catValu>
    <labl>Sahara desert</labl>
  </catgry>
  <catgry>
    <catValu>81328</catValu>
    <labl>South Iran Nubo-Sindian desert and semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81329</catValu>
    <labl>South Saharan steppe and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81330</catValu>
    <labl>Taklimakan desert</labl>
  </catgry>
  <catgry>
    <catValu>81331</catValu>
    <labl>Tibesti-Jebel Uweinat montane xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81332</catValu>
    <labl>West Saharan montane xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81333</catValu>
    <labl>Red Sea coastal desert</labl>
  </catgry>
  <txt>ECOREGION reports the predominant terrestrial ecoregion within a 5-kilometer circular buffer around each DHS cluster location. ECOREGION reports the biogeographic region (e.g., Afrotropic), the habitat type (e.g., tropical and subtropical grasslands, savannas, and shrublands), and the ecoregion (e.g., East Sudanian savanna) that are associated with each cluster location. ECOREGION is available for every IPUMS-DHS sample with GPS data.

There are 825 terrestrial ecoregions in the world. Ecoregions are relatively large units of land containing distinct assemblages of natural communities and species, with boundaries that approximate the original extent of natural communities prior to major land-use change. The 5-digit codes in ECOREGION (e.g., 30129) include a 1-digit realm code (with 8 possible values), followed by a 2-digit biome code (with 14 possible values), and then a 2-digit ecoregion number. For the full list of codes and their meaning, see the ecoregion legend  [URL omitted from DDI.].

ECOREGION, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_LIVELIHOOD" name="C_LIVELIHOOD" files="C" intrvl="discrete">
  <labl>Livelihood zone of household</labl>
  <imputation>Livelihood zone of household</imputation>
  <security>Livelihood zone of household</security>
  <embargo>Livelihood zone of household</embargo>
  <respUnit>Livelihood zone of household</respUnit>
  <catgry>
    <catValu>-00998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>004001</catValu>
    <labl>Eastern Pastoral and Forest Zone</labl>
  </catgry>
  <catgry>
    <catValu>004002</catValu>
    <labl>Eastern Agro-Pastoral and Forest Zone</labl>
  </catgry>
  <catgry>
    <catValu>004003</catValu>
    <labl>Eastern Agro-Pastoral and Rangeland Zone</labl>
  </catgry>
  <catgry>
    <catValu>004004</catValu>
    <labl>Eastern Semi-Arid Agricultural Zone</labl>
  </catgry>
  <catgry>
    <catValu>004005</catValu>
    <labl>Eastern Agricultural and Labor-Based Zone</labl>
  </catgry>
  <catgry>
    <catValu>004006</catValu>
    <labl>Eastern Intensively Irrigated Zone</labl>
  </catgry>
  <catgry>
    <catValu>004007</catValu>
    <labl>Eastern Cross-Border Trade and Labor-Based Zone</labl>
  </catgry>
  <catgry>
    <catValu>004008</catValu>
    <labl>Eastern Irrigated and Rainfed Agricultural Zone</labl>
  </catgry>
  <catgry>
    <catValu>004009</catValu>
    <labl>East-Central Irrigated Zone</labl>
  </catgry>
  <catgry>
    <catValu>004010</catValu>
    <labl>Southern Intensively Irrigated Cash Crop Zone</labl>
  </catgry>
  <catgry>
    <catValu>004011</catValu>
    <labl>Southern Semi-Arid Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004012</catValu>
    <labl>South-Central Agro-Pastoral and Labor-Based Zone</labl>
  </catgry>
  <catgry>
    <catValu>004013</catValu>
    <labl>Southern Desert Zone</labl>
  </catgry>
  <catgry>
    <catValu>004014</catValu>
    <labl>South-Central Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004015</catValu>
    <labl>North-Western Agro-Pastoral and Pistachio Zone</labl>
  </catgry>
  <catgry>
    <catValu>004016</catValu>
    <labl>Western Intensively Irrigated Zone</labl>
  </catgry>
  <catgry>
    <catValu>004017</catValu>
    <labl>Western Semi-Arid Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004018</catValu>
    <labl>West-Central Highland Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004019</catValu>
    <labl>Western and Southern Cross-Border Trade and Labor Zone</labl>
  </catgry>
  <catgry>
    <catValu>004020</catValu>
    <labl>North-Eastern Highland Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004021</catValu>
    <labl>Salangi Plains Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>004022</catValu>
    <labl>Northern Lowland Cereals and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>004023</catValu>
    <labl>Northern High Cereals Production Zone</labl>
  </catgry>
  <catgry>
    <catValu>004024</catValu>
    <labl>North-Central Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004025</catValu>
    <labl>Northern Irrigated and Rainfed Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>004026</catValu>
    <labl>Northern Intensively Irrigated Agricultural Zone</labl>
  </catgry>
  <catgry>
    <catValu>004027</catValu>
    <labl>Amo River Irrigation and Cross-Border Trade Zone</labl>
  </catgry>
  <catgry>
    <catValu>004028</catValu>
    <labl>East-Central Agro-Forestry Zone</labl>
  </catgry>
  <catgry>
    <catValu>004029</catValu>
    <labl>Central Cash-Crop and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>024001</catValu>
    <labl>Coastal fishing, horticulture, and non-farm income</labl>
  </catgry>
  <catgry>
    <catValu>024002</catValu>
    <labl>Transitional banana and pineapple farming</labl>
  </catgry>
  <catgry>
    <catValu>024003</catValu>
    <labl>Southern livestock, millet, and sorghum</labl>
  </catgry>
  <catgry>
    <catValu>024004</catValu>
    <labl>Sub humid livestock and maize</labl>
  </catgry>
  <catgry>
    <catValu>024005</catValu>
    <labl>Mid-eastern cassava and savannah forest</labl>
  </catgry>
  <catgry>
    <catValu>024006</catValu>
    <labl>Central highlands potato and vegetables</labl>
  </catgry>
  <catgry>
    <catValu>024007</catValu>
    <labl>Central highlands maize and beans</labl>
  </catgry>
  <catgry>
    <catValu>024008</catValu>
    <labl>Transitional lowland maize, cassava, and beans</labl>
  </catgry>
  <catgry>
    <catValu>024009</catValu>
    <labl>Tropical forest, cassava, banana, and coffee</labl>
  </catgry>
  <catgry>
    <catValu>024010</catValu>
    <labl>Savannah forest and market-oriented cassava</labl>
  </catgry>
  <catgry>
    <catValu>024011</catValu>
    <labl>Savannah forest and subsistence cassava</labl>
  </catgry>
  <catgry>
    <catValu>024012</catValu>
    <labl>Fishing, cassava, and cross-border trade</labl>
  </catgry>
  <catgry>
    <catValu>024013</catValu>
    <labl>Coastal livestock ranching</labl>
  </catgry>
  <catgry>
    <catValu>108001</catValu>
    <labl>Buragane</labl>
  </catgry>
  <catgry>
    <catValu>108002</catValu>
    <labl>Congo Ridge Millet</labl>
  </catgry>
  <catgry>
    <catValu>108003</catValu>
    <labl>Eastern Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>108004</catValu>
    <labl>Northern Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>108005</catValu>
    <labl>Northern Highlands</labl>
  </catgry>
  <catgry>
    <catValu>108006</catValu>
    <labl>Southern Highlands</labl>
  </catgry>
  <catgry>
    <catValu>108007</catValu>
    <labl>Imbo Plain</labl>
  </catgry>
  <catgry>
    <catValu>108008</catValu>
    <labl>Humid Plateaus</labl>
  </catgry>
  <catgry>
    <catValu>108009</catValu>
    <labl>Eastern Arid Plateaus</labl>
  </catgry>
  <catgry>
    <catValu>140001</catValu>
    <labl>Southeast cassava, peanuts, and maize</labl>
  </catgry>
  <catgry>
    <catValu>140002</catValu>
    <labl>Northeast hunting and food crops</labl>
  </catgry>
  <catgry>
    <catValu>140003</catValu>
    <labl>Northern sorghum and millet</labl>
  </catgry>
  <catgry>
    <catValu>140004</catValu>
    <labl>East central mining, cassava, and peanuts</labl>
  </catgry>
  <catgry>
    <catValu>140005</catValu>
    <labl>Southern coffee, cassava, and maize</labl>
  </catgry>
  <catgry>
    <catValu>140006</catValu>
    <labl>Central cassava, peanuts, and maize</labl>
  </catgry>
  <catgry>
    <catValu>140007</catValu>
    <labl>Central cotton, cassava, and maize</labl>
  </catgry>
  <catgry>
    <catValu>140008</catValu>
    <labl>Northern cotton, cassava, and sorghum</labl>
  </catgry>
  <catgry>
    <catValu>140009</catValu>
    <labl>Western cassava, maize, and peanuts</labl>
  </catgry>
  <catgry>
    <catValu>140010</catValu>
    <labl>Southern maize, citrus fruits, and vegetables</labl>
  </catgry>
  <catgry>
    <catValu>140011</catValu>
    <labl>Southwest cassava, coffee, gathering, and mining</labl>
  </catgry>
  <catgry>
    <catValu>148001</catValu>
    <labl>Southern Staple and Cash Crops</labl>
  </catgry>
  <catgry>
    <catValu>148002</catValu>
    <labl>Southwest Rice</labl>
  </catgry>
  <catgry>
    <catValu>148003</catValu>
    <labl>South-central Cereals</labl>
  </catgry>
  <catgry>
    <catValu>148004</catValu>
    <labl>Southeast Flood Retreat and Gum Arabic</labl>
  </catgry>
  <catgry>
    <catValu>148005</catValu>
    <labl>Central Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>148006</catValu>
    <labl>Eastern Rainfed Cereals and Market Gardening</labl>
  </catgry>
  <catgry>
    <catValu>148007</catValu>
    <labl>Transhumance</labl>
  </catgry>
  <catgry>
    <catValu>148008</catValu>
    <labl>Western Agropastoral and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>148009</catValu>
    <labl>Northern Oasis Cultivation with Camels and Natron</labl>
  </catgry>
  <catgry>
    <catValu>180001</catValu>
    <labl>Copperbelt and Marginal Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180002</catValu>
    <labl>Savannah Manioc</labl>
  </catgry>
  <catgry>
    <catValu>180003</catValu>
    <labl>Savannah Surplus Maize</labl>
  </catgry>
  <catgry>
    <catValu>180004</catValu>
    <labl>Kamalondo Depression</labl>
  </catgry>
  <catgry>
    <catValu>180005</catValu>
    <labl>Southern Tanganyika-Mwero Fishing</labl>
  </catgry>
  <catgry>
    <catValu>180006</catValu>
    <labl>Maniema Savannah Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180007</catValu>
    <labl>High Food Production and Surplus Trade</labl>
  </catgry>
  <catgry>
    <catValu>180008</catValu>
    <labl>Northern Tanganyika Midland Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180009</catValu>
    <labl>Agropastoral Mountains</labl>
  </catgry>
  <catgry>
    <catValu>180010</catValu>
    <labl>Midland Agricultural Savannah</labl>
  </catgry>
  <catgry>
    <catValu>180011</catValu>
    <labl>Rutshuru Volcanic Soils and Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180012</catValu>
    <labl>Forest Cultivation and Products</labl>
  </catgry>
  <catgry>
    <catValu>180013</catValu>
    <labl>Artisanal Mining with Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180014</catValu>
    <labl>Northeast Highlands Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180015</catValu>
    <labl>Orientale Fishing with Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180016</catValu>
    <labl>Northern Plateau Cassava, Maize, Groundnuts and Beans</labl>
  </catgry>
  <catgry>
    <catValu>180017</catValu>
    <labl>Bumba Rice and Tubers</labl>
  </catgry>
  <catgry>
    <catValu>180018</catValu>
    <labl>Bomongo and Makanza Districts Intensive Fishing</labl>
  </catgry>
  <catgry>
    <catValu>180019</catValu>
    <labl>Fishing and Staples Riverine</labl>
  </catgry>
  <catgry>
    <catValu>180020</catValu>
    <labl>Cuvette Centrale Staple Crops, Fishing and Charcoal</labl>
  </catgry>
  <catgry>
    <catValu>180021</catValu>
    <labl>Equatorial Forest, Hunting, Fishing and Staple Crops</labl>
  </catgry>
  <catgry>
    <catValu>180022</catValu>
    <labl>Lighter Forest with Rice and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>180023</catValu>
    <labl>Savannah with Cassava and Cowpeas and Small Livestock</labl>
  </catgry>
  <catgry>
    <catValu>180024</catValu>
    <labl>High Food Crop Production and Trading</labl>
  </catgry>
  <catgry>
    <catValu>180025</catValu>
    <labl>Intensive Artisanal Diamond Exploitation with Crop Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>180026</catValu>
    <labl>Clay Soils with High Production of Cassava and Maize, and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>180027</catValu>
    <labl>Agropastoral â€“ Staple Crops, Small Stock and Cattle and Wild Foods</labl>
  </catgry>
  <catgry>
    <catValu>180028</catValu>
    <labl>Agriculture with High Production and Marketing</labl>
  </catgry>
  <catgry>
    <catValu>180029</catValu>
    <labl>Cassava, Maize and Groundnuts</labl>
  </catgry>
  <catgry>
    <catValu>180030</catValu>
    <labl>Market Gardening and Staple Crops</labl>
  </catgry>
  <catgry>
    <catValu>180031</catValu>
    <labl>River Fishing and Staple Crops</labl>
  </catgry>
  <catgry>
    <catValu>180032</catValu>
    <labl>Coastal Ocean Fishing and Kitchen Gardening</labl>
  </catgry>
  <catgry>
    <catValu>180033</catValu>
    <labl>Forest â€“ Staple Crops, Cash Crops and Market Gardening</labl>
  </catgry>
  <catgry>
    <catValu>180034</catValu>
    <labl>Kinshasa Peri-urban</labl>
  </catgry>
  <catgry>
    <catValu>222001</catValu>
    <labl>Basic Grain and Labor Zone</labl>
  </catgry>
  <catgry>
    <catValu>222002</catValu>
    <labl>Coffee, Agro-Industrial and Labor Zone</labl>
  </catgry>
  <catgry>
    <catValu>222003</catValu>
    <labl>Sugarcane, Agro-Industry and Labor Zone</labl>
  </catgry>
  <catgry>
    <catValu>222004</catValu>
    <labl>Eastern Basic Grain, Labor, Livestock and Remittance Zone</labl>
  </catgry>
  <catgry>
    <catValu>222005</catValu>
    <labl>Central Free-Trade, Services and Industrial Labor Zone</labl>
  </catgry>
  <catgry>
    <catValu>222006</catValu>
    <labl>Fishing, Aquaculture and Tourism Zone</labl>
  </catgry>
  <catgry>
    <catValu>231001</catValu>
    <labl>Addis Ababa City</labl>
  </catgry>
  <catgry>
    <catValu>231002</catValu>
    <labl>Asale Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231003</catValu>
    <labl>Awsa-Gewane Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231004</catValu>
    <labl>Aramiss - Adaar Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231005</catValu>
    <labl>Asale Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231006</catValu>
    <labl>Chenno Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231007</catValu>
    <labl>Eli daar Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231008</catValu>
    <labl>Namalefan &amp; Baadu Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231009</catValu>
    <labl>Teru Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231010</catValu>
    <labl>Abay Beshilo River Basin</labl>
  </catgry>
  <catgry>
    <catValu>231011</catValu>
    <labl>Abay Tekeze Watershed</labl>
  </catgry>
  <catgry>
    <catValu>231012</catValu>
    <labl>Central Highland Barley &amp; Potato</labl>
  </catgry>
  <catgry>
    <catValu>231013</catValu>
    <labl>Cheffa valley</labl>
  </catgry>
  <catgry>
    <catValu>231014</catValu>
    <labl>Guna Highland</labl>
  </catgry>
  <catgry>
    <catValu>231015</catValu>
    <labl>Merhabete Lowland Sorghum and teff</labl>
  </catgry>
  <catgry>
    <catValu>231016</catValu>
    <labl>Minjar teff and livestock</labl>
  </catgry>
  <catgry>
    <catValu>231017</catValu>
    <labl>Minjar teff and sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231018</catValu>
    <labl>North Wollo Highland Belg</labl>
  </catgry>
  <catgry>
    <catValu>231019</catValu>
    <labl>North East Woyna Dega Mixed Cereal</labl>
  </catgry>
  <catgry>
    <catValu>231020</catValu>
    <labl>North Shewa highland sheep and barley</labl>
  </catgry>
  <catgry>
    <catValu>231021</catValu>
    <labl>North Shewa Highland Wheat and Teff productive</labl>
  </catgry>
  <catgry>
    <catValu>231022</catValu>
    <labl>N Highland wheat, Barley &amp; Sheep</labl>
  </catgry>
  <catgry>
    <catValu>231023</catValu>
    <labl>NorthWest Cash Crop</labl>
  </catgry>
  <catgry>
    <catValu>231024</catValu>
    <labl>North Wollo East Plain</labl>
  </catgry>
  <catgry>
    <catValu>231025</catValu>
    <labl>NorthWest Sorghum Belt</labl>
  </catgry>
  <catgry>
    <catValu>231026</catValu>
    <labl>South Wollo Meher</labl>
  </catgry>
  <catgry>
    <catValu>231027</catValu>
    <labl>South Wollo Belg</labl>
  </catgry>
  <catgry>
    <catValu>231028</catValu>
    <labl>South West Maize, Finger Millet and Teff productive</labl>
  </catgry>
  <catgry>
    <catValu>231029</catValu>
    <labl>South Wollo &amp; Oromia Eastern lowland sorghum &amp; cattle</labl>
  </catgry>
  <catgry>
    <catValu>231030</catValu>
    <labl>South East Woyna Dega Teff</labl>
  </catgry>
  <catgry>
    <catValu>231031</catValu>
    <labl>South West Woyna Dega wheat</labl>
  </catgry>
  <catgry>
    <catValu>231032</catValu>
    <labl>Tekeze Lowland Sorghum and Goats</labl>
  </catgry>
  <catgry>
    <catValu>231033</catValu>
    <labl>Tana Zuria</labl>
  </catgry>
  <catgry>
    <catValu>231034</catValu>
    <labl>South Wollo Meher and Belg</labl>
  </catgry>
  <catgry>
    <catValu>231035</catValu>
    <labl>Central Kolla Sorghum, Maize &amp; Millet</labl>
  </catgry>
  <catgry>
    <catValu>231036</catValu>
    <labl>Midland Teff &amp; Coffee</labl>
  </catgry>
  <catgry>
    <catValu>231037</catValu>
    <labl>Western Dry Kolla Sorghum, Maize &amp; Mining</labl>
  </catgry>
  <catgry>
    <catValu>231038</catValu>
    <labl>Meketel Highland Cereal &amp; Pulses</labl>
  </catgry>
  <catgry>
    <catValu>231039</catValu>
    <labl>Gambella Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231040</catValu>
    <labl>Gambella Coffee, Honey &amp; Cereal LZ</labl>
  </catgry>
  <catgry>
    <catValu>231041</catValu>
    <labl>Gambella Mixed Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>231042</catValu>
    <labl>No Data</labl>
  </catgry>
  <catgry>
    <catValu>231043</catValu>
    <labl>Arsi Bale Wheat, Barley &amp; Potato</labl>
  </catgry>
  <catgry>
    <catValu>231044</catValu>
    <labl>Anfilo Coffee Monoculture &amp; Honey</labl>
  </catgry>
  <catgry>
    <catValu>231045</catValu>
    <labl>Abe Dongoro-Diga-Sasiga Coffee &amp; Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231046</catValu>
    <labl>Adaba Dodola Community Forest</labl>
  </catgry>
  <catgry>
    <catValu>231047</catValu>
    <labl>Agarfa, Gasera, Ginir &amp; Gololcha Fruit, Coffee &amp; Chat</labl>
  </catgry>
  <catgry>
    <catValu>231048</catValu>
    <labl>Ambo Selale Ginderberet Teff &amp; Wheat</labl>
  </catgry>
  <catgry>
    <catValu>231049</catValu>
    <labl>Abijata Shala Jido Agro-Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231050</catValu>
    <labl>Abay Gorge Sesame, Maize &amp; Honey</labl>
  </catgry>
  <catgry>
    <catValu>231051</catValu>
    <labl>Ameya-Wolisso-Ambo Teff &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231052</catValu>
    <labl>Becho-Adea Teff &amp; Chickpea</labl>
  </catgry>
  <catgry>
    <catValu>231053</catValu>
    <labl>Borena-Guji Maize, Wheat &amp; Livestock</labl>
  </catgry>
  <catgry>
    <catValu>231054</catValu>
    <labl>Borena-Guji Coffee &amp; Enset</labl>
  </catgry>
  <catgry>
    <catValu>231055</catValu>
    <labl>Borena-Guji Cattle Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>231056</catValu>
    <labl>Bale Agro-Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231057</catValu>
    <labl>Bale Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>231058</catValu>
    <labl>Chercher &amp; Gololcha Chole Coffee, Maize &amp; Chat</labl>
  </catgry>
  <catgry>
    <catValu>231059</catValu>
    <labl>Central Horo Teff, Nug &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231060</catValu>
    <labl>Chebo-Inchini Enset, Barley &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231061</catValu>
    <labl>Chat &amp; Vegetables</labl>
  </catgry>
  <catgry>
    <catValu>231062</catValu>
    <labl>Dallo, Barbare &amp; Arana-Buluk Coffee</labl>
  </catgry>
  <catgry>
    <catValu>231063</catValu>
    <labl>Dale-Lalo Sorghum &amp; Maize</labl>
  </catgry>
  <catgry>
    <catValu>231064</catValu>
    <labl>Didessa-Gibe-Wama Valley Sorghum, Maize &amp; Oilcrops</labl>
  </catgry>
  <catgry>
    <catValu>231065</catValu>
    <labl>Ebantu-Limu Teff &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231066</catValu>
    <labl>Guduru-Amuru Maize, Teff &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231067</catValu>
    <labl>Guji-Borena Enset, Barley &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231068</catValu>
    <labl>Gerbo Enset &amp; Chat</labl>
  </catgry>
  <catgry>
    <catValu>231069</catValu>
    <labl>Gursum-Babile Groundnuts &amp; Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231070</catValu>
    <labl>Gera-Setema-Sale Forest Teff, Honey &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231071</catValu>
    <labl>Gibe Maize &amp; Peppers</labl>
  </catgry>
  <catgry>
    <catValu>231072</catValu>
    <labl>Goro-Ginir Spice &amp; Wheat</labl>
  </catgry>
  <catgry>
    <catValu>231073</catValu>
    <labl>Anger Maize, Sorghum &amp; Finger Millet</labl>
  </catgry>
  <catgry>
    <catValu>231074</catValu>
    <labl>Illu-Wellega-Birbir Maize, Peppers &amp; Sesame</labl>
  </catgry>
  <catgry>
    <catValu>231075</catValu>
    <labl>Jimma-Illubabur Coffee, Cereals &amp; Chat</labl>
  </catgry>
  <catgry>
    <catValu>231076</catValu>
    <labl>Jaldu-Dendi-Ilfata Barley &amp; Potato</labl>
  </catgry>
  <catgry>
    <catValu>231077</catValu>
    <labl>Jimma-Yama Logi Teff &amp; Maize</labl>
  </catgry>
  <catgry>
    <catValu>231078</catValu>
    <labl>Kofele Kokosa Enset &amp; Cattle Belt</labl>
  </catgry>
  <catgry>
    <catValu>231079</catValu>
    <labl>Muger-Abay-Jema Sorghum &amp; Teff Belt</labl>
  </catgry>
  <catgry>
    <catValu>231080</catValu>
    <labl>Melka Awash-Ochocha Mid-Highland Wheat &amp; Teff</labl>
  </catgry>
  <catgry>
    <catValu>231081</catValu>
    <labl>Moyale Agro-Pastoral, Labour &amp; Cross-Border Trade</labl>
  </catgry>
  <catgry>
    <catValu>231082</catValu>
    <labl>Moyale Cattle, Shoats &amp; Camel Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>231083</catValu>
    <labl>Market-Isolated Cattle &amp; Shoat Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>231084</catValu>
    <labl>Kereyu Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231085</catValu>
    <labl>Mendi-Dabisu Maize, Sesame &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231086</catValu>
    <labl>North-East Agro-Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231087</catValu>
    <labl>Nadda-Gilgel Gibe Maize, Teff and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231088</catValu>
    <labl>Nole-Meko-Diga Teff &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231089</catValu>
    <labl>Nejo-Dilla Teff, Finger Millet &amp; Nug</labl>
  </catgry>
  <catgry>
    <catValu>231090</catValu>
    <labl>Southern Agro-Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231091</catValu>
    <labl>Keto-Begi Cereals &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231092</catValu>
    <labl>Robe Chole Sude &amp; Seru Teff Maize Haricot Bean Belt</labl>
  </catgry>
  <catgry>
    <catValu>231093</catValu>
    <labl>Rift Valley Maize &amp; Horse Bean</labl>
  </catgry>
  <catgry>
    <catValu>231094</catValu>
    <labl>Selale-Ambo Highland Barley, Wheat and Horsebean belt</labl>
  </catgry>
  <catgry>
    <catValu>231095</catValu>
    <labl>Soddo Highland Wheat, Barley &amp; Enset</labl>
  </catgry>
  <catgry>
    <catValu>231096</catValu>
    <labl>Siraro Kofele Potato &amp; Vegetables</labl>
  </catgry>
  <catgry>
    <catValu>231097</catValu>
    <labl>Sorghum, Maize &amp; Chat</labl>
  </catgry>
  <catgry>
    <catValu>231098</catValu>
    <labl>Shirka Ticho Spice &amp; Teff</labl>
  </catgry>
  <catgry>
    <catValu>231099</catValu>
    <labl>Wheat, Barley &amp; Potato</labl>
  </catgry>
  <catgry>
    <catValu>231100</catValu>
    <labl>Wellega-Dedo Highland Wheat &amp; Barley</labl>
  </catgry>
  <catgry>
    <catValu>231101</catValu>
    <labl>Wuchale-Abichu-Kembebit Livestock, 'Wild Oats' &amp; Barley/Wheat</labl>
  </catgry>
  <catgry>
    <catValu>231102</catValu>
    <labl>Wellega Coffee, Maize &amp; Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231103</catValu>
    <labl>Amaro Coffee and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231104</catValu>
    <labl>Awassa Chat and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231105</catValu>
    <labl>Alaba-Mareko Lowland Pepper LZ</labl>
  </catgry>
  <catgry>
    <catValu>231106</catValu>
    <labl>Badewacho-Alaba Maize LZ</labl>
  </catgry>
  <catgry>
    <catValu>231107</catValu>
    <labl>Bilate Basin Agro-Pastoral LZ</labl>
  </catgry>
  <catgry>
    <catValu>231108</catValu>
    <labl>Bench-Keffa Cereal and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231109</catValu>
    <labl>Basketo-Melo Coffee and Root Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231110</catValu>
    <labl>Dawro-Konta Maize and Root Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231111</catValu>
    <labl>Western Coffee and Spices LZ - Eastern sub-zone</labl>
  </catgry>
  <catgry>
    <catValu>231112</catValu>
    <labl>Gedeo Coffee LZ</labl>
  </catgry>
  <catgry>
    <catValu>231113</catValu>
    <labl>Gurage-Siltie Highland Enset and Barley LZ</labl>
  </catgry>
  <catgry>
    <catValu>231114</catValu>
    <labl>Gurage-Siltie Midland Enset and Chat LZ</labl>
  </catgry>
  <catgry>
    <catValu>231115</catValu>
    <labl>Gurage-Siltie Enset and Teff LZ</labl>
  </catgry>
  <catgry>
    <catValu>231116</catValu>
    <labl>Gamo Gofa Enset and Barley LZ</labl>
  </catgry>
  <catgry>
    <catValu>231117</catValu>
    <labl>Gurage Lowland Maize and Teff LZ</labl>
  </catgry>
  <catgry>
    <catValu>231118</catValu>
    <labl>Gamo Gofa Maize and Root Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231119</catValu>
    <labl>Hadero Ginger LZ</labl>
  </catgry>
  <catgry>
    <catValu>231120</catValu>
    <labl>Hadiya Maize LZ</labl>
  </catgry>
  <catgry>
    <catValu>231121</catValu>
    <labl>Hadiya-Kembata Cereal and Enset LZ - Hadiya sub zone</labl>
  </catgry>
  <catgry>
    <catValu>231122</catValu>
    <labl>Chamo-Abaya Irrigated Banana LZ</labl>
  </catgry>
  <catgry>
    <catValu>231123</catValu>
    <labl>Kedida-Badewacho Coffee LZ</labl>
  </catgry>
  <catgry>
    <catValu>231124</catValu>
    <labl>Hadiya-Kembata Cereal and Enset LZ - Kembata sub-zone</labl>
  </catgry>
  <catgry>
    <catValu>231125</catValu>
    <labl>Kaffa Cereal and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231126</catValu>
    <labl>Southern Special Woredas Lowland Cereal LZ</labl>
  </catgry>
  <catgry>
    <catValu>231127</catValu>
    <labl>Omo River Flood Recession LZ</labl>
  </catgry>
  <catgry>
    <catValu>231128</catValu>
    <labl>Omo Valley Maize and Sorghum LZ</labl>
  </catgry>
  <catgry>
    <catValu>231129</catValu>
  </catgry>
  <catgry>
    <catValu>231130</catValu>
    <labl>Southern Cereal, Enset and Root Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231131</catValu>
    <labl>Sidama Coffee LZ</labl>
  </catgry>
  <catgry>
    <catValu>231132</catValu>
    <labl>Surma Agro-Pastoral LZ</labl>
  </catgry>
  <catgry>
    <catValu>231133</catValu>
    <labl>Sidama-Gedeo Highland Enset and Barley LZ</labl>
  </catgry>
  <catgry>
    <catValu>231134</catValu>
    <labl>Sidama Maize Belt LZ</labl>
  </catgry>
  <catgry>
    <catValu>231135</catValu>
    <labl>Southern Agro-Pastoral Livelihood Zone</labl>
  </catgry>
  <catgry>
    <catValu>231136</catValu>
    <labl>South Omo Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231137</catValu>
    <labl>South Omo Pastoral LZ</labl>
  </catgry>
  <catgry>
    <catValu>231138</catValu>
    <labl>Salamago Pastoral LZ</labl>
  </catgry>
  <catgry>
    <catValu>231139</catValu>
    <labl>Sheka Cereal and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231140</catValu>
    <labl>Wolayita Ginger and Coffee LZ</labl>
  </catgry>
  <catgry>
    <catValu>231141</catValu>
    <labl>Western Coffee and Spices LZ - Western sub-zone</labl>
  </catgry>
  <catgry>
    <catValu>231142</catValu>
    <labl>Western Forest Products LZ</labl>
  </catgry>
  <catgry>
    <catValu>231143</catValu>
    <labl>Wolayita Maize and Root Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231144</catValu>
    <labl>Wolayita Barley and Wheat LZ</labl>
  </catgry>
  <catgry>
    <catValu>231145</catValu>
    <labl>Yem Cereal and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231146</catValu>
    <labl>Afder Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231147</catValu>
    <labl>Degahbur Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231148</catValu>
    <labl>Dawa-Ganale Riverine</labl>
  </catgry>
  <catgry>
    <catValu>231149</catValu>
    <labl>Filtu-Dolo Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231150</catValu>
    <labl>Fik Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231151</catValu>
    <labl>Gode Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231152</catValu>
    <labl>Harshin-Degahbur East Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231153</catValu>
    <labl>Jijiga Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231154</catValu>
    <labl>Jijiga Sedentary Farming</labl>
  </catgry>
  <catgry>
    <catValu>231155</catValu>
    <labl>Korahe Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231156</catValu>
    <labl>Korahe-Gode Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231157</catValu>
    <labl>Liban Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231158</catValu>
    <labl>Lowland-Hawd Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231159</catValu>
    <labl>Moyale-Wayamo Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231160</catValu>
    <labl>No Data</labl>
  </catgry>
  <catgry>
    <catValu>231161</catValu>
    <labl>Shinile Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231162</catValu>
    <labl>Shinile Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231163</catValu>
    <labl>Shabelle Riverine</labl>
  </catgry>
  <catgry>
    <catValu>231164</catValu>
    <labl>Adiyabo Lowland</labl>
  </catgry>
  <catgry>
    <catValu>231165</catValu>
    <labl>Alaje Ofla Highland</labl>
  </catgry>
  <catgry>
    <catValu>231166</catValu>
    <labl>Atsbi Womberta Highland</labl>
  </catgry>
  <catgry>
    <catValu>231167</catValu>
    <labl>Central Mixed Crop</labl>
  </catgry>
  <catgry>
    <catValu>231168</catValu>
    <labl>Enderta Dry Midland</labl>
  </catgry>
  <catgry>
    <catValu>231169</catValu>
    <labl>Eastern Planteau</labl>
  </catgry>
  <catgry>
    <catValu>231170</catValu>
    <labl>Gesho and Wheat Highland</labl>
  </catgry>
  <catgry>
    <catValu>231171</catValu>
    <labl>Humera Sesame and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231172</catValu>
    <labl>Irob Mountains</labl>
  </catgry>
  <catgry>
    <catValu>231173</catValu>
    <labl>Mereb Basin</labl>
  </catgry>
  <catgry>
    <catValu>231174</catValu>
    <labl>Middle Tekeze</labl>
  </catgry>
  <catgry>
    <catValu>231175</catValu>
    <labl>Raya Valley</labl>
  </catgry>
  <catgry>
    <catValu>231176</catValu>
    <labl>Tsirare Catchment</labl>
  </catgry>
  <catgry>
    <catValu>231177</catValu>
    <labl>West Central Teff</labl>
  </catgry>
  <catgry>
    <catValu>231178</catValu>
    <labl>Werie Catchment</labl>
  </catgry>
  <catgry>
    <catValu>231179</catValu>
    <labl>Western Cereal and Sesame</labl>
  </catgry>
  <catgry>
    <catValu>262001</catValu>
    <labl>Northwest Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>262002</catValu>
    <labl>Central Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>262003</catValu>
    <labl>Southeast Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>262004</catValu>
    <labl>Market Gardening</labl>
  </catgry>
  <catgry>
    <catValu>262005</catValu>
    <labl>Djibouti City</labl>
  </catgry>
  <catgry>
    <catValu>324001</catValu>
    <labl>Coastal: Rice, Fishing, Palm oil</labl>
  </catgry>
  <catgry>
    <catValu>324002</catValu>
    <labl>Piedmont: Rice, Groundnut, Horticulture</labl>
  </catgry>
  <catgry>
    <catValu>324003</catValu>
    <labl>Central plateau: Horticulture, Fonio, Livestock</labl>
  </catgry>
  <catgry>
    <catValu>324004</catValu>
    <labl>Mountain: Livestock, Fonio, Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>324005</catValu>
    <labl>Mountain : Rice, Livestock, Fonio</labl>
  </catgry>
  <catgry>
    <catValu>324006</catValu>
    <labl>Northern plateau: Rice, Groundnut, Livestock</labl>
  </catgry>
  <catgry>
    <catValu>324007</catValu>
    <labl>Savannah with shrubs: Rice, Gold mining, Livestock</labl>
  </catgry>
  <catgry>
    <catValu>324008</catValu>
    <labl>Northeast: Maize, Gold mining, Livestock</labl>
  </catgry>
  <catgry>
    <catValu>324009</catValu>
    <labl>Wooded savannah: Rice, Manioc, Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>324010</catValu>
    <labl>Pre-forest zone: Rice, Manioc, Livestock</labl>
  </catgry>
  <catgry>
    <catValu>324011</catValu>
    <labl>Forest: Rice, Palm oil, Coffee</labl>
  </catgry>
  <catgry>
    <catValu>332001</catValu>
    <labl>Dry Coastal Maize and Charcoal</labl>
  </catgry>
  <catgry>
    <catValu>332002</catValu>
    <labl>North Tubers and Horticulture</labl>
  </catgry>
  <catgry>
    <catValu>332003</catValu>
    <labl>Central Plateau Maize and Tubers</labl>
  </catgry>
  <catgry>
    <catValu>332004</catValu>
    <labl>Rice Plains of the Artibonite</labl>
  </catgry>
  <catgry>
    <catValu>332005</catValu>
    <labl>Western Banana Plains of Arcahaie</labl>
  </catgry>
  <catgry>
    <catValu>332006</catValu>
    <labl>West Gardening and Beans</labl>
  </catgry>
  <catgry>
    <catValu>332007</catValu>
    <labl>South Beans, Bananas, and Petty Trade</labl>
  </catgry>
  <catgry>
    <catValu>332008</catValu>
    <labl>Southwestern Coast Maize, Manioc, and Bush Products</labl>
  </catgry>
  <catgry>
    <catValu>332009</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>340000</catValu>
    <labl>Casco urbano</labl>
  </catgry>
  <catgry>
    <catValu>340001</catValu>
    <labl>Zona de medios de vida litoral GarÃ­funa y de turismo en islas de la BahÃ­a</labl>
  </catgry>
  <catgry>
    <catValu>340002</catValu>
    <labl>Zona litoral atlÃ¡ntica productora de aceite de palma</labl>
  </catgry>
  <catgry>
    <catValu>340003</catValu>
    <labl>Zona de venta de obra en maquilas, banano y caÃ±a de azÃºcar</labl>
  </catgry>
  <catgry>
    <catValu>340004</catValu>
    <labl>Zona Mosquitia de caza y pesca</labl>
  </catgry>
  <catgry>
    <catValu>340005</catValu>
    <labl>Zona montaÃ±osa de cafÃ©</labl>
  </catgry>
  <catgry>
    <catValu>340006</catValu>
    <labl>Zona de medios de vida pesquera y salinera del Golfo de Fonseca</labl>
  </catgry>
  <catgry>
    <catValu>340007</catValu>
    <labl>Zona de granos bÃ¡sicos de subsistencia y remesas</labl>
  </catgry>
  <catgry>
    <catValu>340008</catValu>
    <labl>Zona de venta de mano de obra en melÃ³n, sandÃ­a y camarÃ³n</labl>
  </catgry>
  <catgry>
    <catValu>340009</catValu>
    <labl>Zona de medios de vida, granos bÃ¡sicos y ganaderÃ­a</labl>
  </catgry>
  <catgry>
    <catValu>340010</catValu>
    <labl>Reserva del RÃ­o Platano</labl>
  </catgry>
  <catgry>
    <catValu>404001</catValu>
    <labl>Northwestern Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404002</catValu>
    <labl>Turkwell Riverine Zone</labl>
  </catgry>
  <catgry>
    <catValu>404003</catValu>
    <labl>Northwestern Agropastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404004</catValu>
    <labl>Lake Turkana Fishing</labl>
  </catgry>
  <catgry>
    <catValu>404005</catValu>
    <labl>Northern Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404006</catValu>
    <labl>Marsabit Marginal Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404007</catValu>
    <labl>Northeastern Agropastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404008</catValu>
    <labl>Mandera Riverine Zone</labl>
  </catgry>
  <catgry>
    <catValu>404009</catValu>
    <labl>Northeastern Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404010</catValu>
    <labl>Eastern Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404011</catValu>
    <labl>Southeastern Pastoral  Zone</labl>
  </catgry>
  <catgry>
    <catValu>404012</catValu>
    <labl>Coastal Medium Potential Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404013</catValu>
    <labl>Coastal Marginal Agricultural Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404014</catValu>
    <labl>Tana Riverine Zone</labl>
  </catgry>
  <catgry>
    <catValu>404015</catValu>
    <labl>Southern Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404016</catValu>
    <labl>Southeastern Marginal Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404017</catValu>
    <labl>Southeastern Medium Potential, Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404018</catValu>
    <labl>Southern Agropastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404019</catValu>
    <labl>Central Highlands, High Potential Zone</labl>
  </catgry>
  <catgry>
    <catValu>404020</catValu>
    <labl>Western Medium Potential Zone</labl>
  </catgry>
  <catgry>
    <catValu>404021</catValu>
    <labl>Western High Potential Zone</labl>
  </catgry>
  <catgry>
    <catValu>404022</catValu>
    <labl>Western Lakeshore Marginal Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404023</catValu>
    <labl>Lake Victoria Fishing Zone</labl>
  </catgry>
  <catgry>
    <catValu>404024</catValu>
    <labl>Western Agropastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>426001</catValu>
    <labl>Northern Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>426002</catValu>
    <labl>Southern Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>426003</catValu>
    <labl>Foothills</labl>
  </catgry>
  <catgry>
    <catValu>426004</catValu>
    <labl>Mountains</labl>
  </catgry>
  <catgry>
    <catValu>426005</catValu>
    <labl>Senqu River Valley</labl>
  </catgry>
  <catgry>
    <catValu>430001</catValu>
    <labl>North-East Rice Farming Palm Oil</labl>
  </catgry>
  <catgry>
    <catValu>430002</catValu>
    <labl>North/Central Rice with Cassava and Market Gardening</labl>
  </catgry>
  <catgry>
    <catValu>430003</catValu>
    <labl>South-East Rice with Cassava</labl>
  </catgry>
  <catgry>
    <catValu>430004</catValu>
    <labl>Coastal Plain Cassava with Rice and Inland Fishing</labl>
  </catgry>
  <catgry>
    <catValu>430005</catValu>
    <labl>Coastal Fishing and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>430006</catValu>
    <labl>Rice Intercropped and Forest Hunting</labl>
  </catgry>
  <catgry>
    <catValu>430007</catValu>
    <labl>Border Cacao and Coffee Farming</labl>
  </catgry>
  <catgry>
    <catValu>430008</catValu>
    <labl>Rubber and Charcoal with Food Crops</labl>
  </catgry>
  <catgry>
    <catValu>430009</catValu>
    <labl>Peri-Urban: Petty Trade, Market Gardening and Casual Employment</labl>
  </catgry>
  <catgry>
    <catValu>430010</catValu>
    <labl>Mining/Concession and Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>430098</catValu>
    <labl>National Parks</labl>
  </catgry>
  <catgry>
    <catValu>430099</catValu>
    <labl>Urban Areas</labl>
  </catgry>
  <catgry>
    <catValu>450001</catValu>
    <labl>Extreme north: sugar cane, fishing, tourism</labl>
  </catgry>
  <catgry>
    <catValu>450002</catValu>
    <labl>North: vanilla, clove, coconut tree</labl>
  </catgry>
  <catgry>
    <catValu>450003</catValu>
    <labl>Sofia River basin: tobacco, onion, fishing</labl>
  </catgry>
  <catgry>
    <catValu>450004</catValu>
    <labl>Northern highland: rice, zebu</labl>
  </catgry>
  <catgry>
    <catValu>450005</catValu>
    <labl>Betsiboka Delta: rice, fishing</labl>
  </catgry>
  <catgry>
    <catValu>450006</catValu>
    <labl>Upper Betsiboka: gold mining, rice, cows</labl>
  </catgry>
  <catgry>
    <catValu>450007</catValu>
    <labl>Aloatra: rice, fishing, livestock rearing</labl>
  </catgry>
  <catgry>
    <catValu>450008</catValu>
    <labl>Toamasina: cloves, coffee, trade</labl>
  </catgry>
  <catgry>
    <catValu>450009</catValu>
    <labl>West: rice, fishing, gathering</labl>
  </catgry>
  <catgry>
    <catValu>450010</catValu>
    <labl>Agropastoral midwest: rice, maize, pulses</labl>
  </catgry>
  <catgry>
    <catValu>450011</catValu>
    <labl>Central Iarivo: rice, market gardening, eucalyptus</labl>
  </catgry>
  <catgry>
    <catValu>450012</catValu>
    <labl>Moramanga: forest, petty trade, market gardening</labl>
  </catgry>
  <catgry>
    <catValu>450013</catValu>
    <labl>Center-east: litchi, coffee, citrus</labl>
  </catgry>
  <catgry>
    <catValu>450014</catValu>
    <labl>Ankaratra: staple crops, horticulture, milk</labl>
  </catgry>
  <catgry>
    <catValu>450015</catValu>
    <labl>Tsirobihina Delta: rice, fishing, pulses</labl>
  </catgry>
  <catgry>
    <catValu>450016</catValu>
    <labl>South-central peneplain: rice, onion, small livestock</labl>
  </catgry>
  <catgry>
    <catValu>450017</catValu>
    <labl>Southern highlands: staple crops, crafts, market gardening</labl>
  </catgry>
  <catgry>
    <catValu>450018</catValu>
    <labl>Corridor: forest products, banana</labl>
  </catgry>
  <catgry>
    <catValu>450019</catValu>
    <labl>Southeast: coffee, litchi, cassava</labl>
  </catgry>
  <catgry>
    <catValu>450020</catValu>
    <labl>Southwest: rice, lima bean</labl>
  </catgry>
  <catgry>
    <catValu>450021</catValu>
    <labl>Bara plateau: cows, cassava</labl>
  </catgry>
  <catgry>
    <catValu>450022</catValu>
    <labl>Center-south: staple crops, industrial sisal, zebu</labl>
  </catgry>
  <catgry>
    <catValu>450023</catValu>
    <labl>Mahafaly plateau: cassava</labl>
  </catgry>
  <catgry>
    <catValu>450024</catValu>
    <labl>Extreme south: cassava, maize, livestock rearing</labl>
  </catgry>
  <catgry>
    <catValu>454001</catValu>
    <labl>Central Karonga</labl>
  </catgry>
  <catgry>
    <catValu>454002</catValu>
    <labl>Chitipa Millet &amp; Maize</labl>
  </catgry>
  <catgry>
    <catValu>454003</catValu>
    <labl>Kasungu Lilongwe Plain</labl>
  </catgry>
  <catgry>
    <catValu>454004</catValu>
    <labl>Lake Chilwa - Phalombe Plain</labl>
  </catgry>
  <catgry>
    <catValu>454005</catValu>
    <labl>Lower Shire</labl>
  </catgry>
  <catgry>
    <catValu>454006</catValu>
    <labl>Middle Shire Valley</labl>
  </catgry>
  <catgry>
    <catValu>454007</catValu>
    <labl>Misuku Hills</labl>
  </catgry>
  <catgry>
    <catValu>454008</catValu>
    <labl>Mzimba Self Sufficient</labl>
  </catgry>
  <catgry>
    <catValu>454009</catValu>
    <labl>Nkhata Bay Cassava</labl>
  </catgry>
  <catgry>
    <catValu>454010</catValu>
    <labl>Northern Karonga</labl>
  </catgry>
  <catgry>
    <catValu>454011</catValu>
    <labl>Northern Lakeshore</labl>
  </catgry>
  <catgry>
    <catValu>454012</catValu>
    <labl>Phirilongwe Hills</labl>
  </catgry>
  <catgry>
    <catValu>454013</catValu>
    <labl>Rift Valley Escarpment</labl>
  </catgry>
  <catgry>
    <catValu>454014</catValu>
    <labl>Shire Highlands</labl>
  </catgry>
  <catgry>
    <catValu>454015</catValu>
    <labl>Southern Lakeshore</labl>
  </catgry>
  <catgry>
    <catValu>454016</catValu>
    <labl>Thyolo Mulunje Tea Estates</labl>
  </catgry>
  <catgry>
    <catValu>454017</catValu>
    <labl>Western Rumphi &amp; Mzimba</labl>
  </catgry>
  <catgry>
    <catValu>454018</catValu>
    <labl>Border Productive Horticulture</labl>
  </catgry>
  <catgry>
    <catValu>454019</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>454020</catValu>
    <labl>National Park</labl>
  </catgry>
  <catgry>
    <catValu>466001</catValu>
    <labl>Nomadism and Trans-Saharan Trade</labl>
  </catgry>
  <catgry>
    <catValu>466002</catValu>
    <labl>Northern Livestock</labl>
  </catgry>
  <catgry>
    <catValu>466003</catValu>
    <labl>Niger Loop Rice and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>466004</catValu>
    <labl>Central Livestock, Millet, and Remittances</labl>
  </catgry>
  <catgry>
    <catValu>466005</catValu>
    <labl>Dogon Plateau Millet and Shallots</labl>
  </catgry>
  <catgry>
    <catValu>466006</catValu>
    <labl>Niger Delta Rice, Cattle, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>466007</catValu>
    <labl>Office du NigerRice and Market Gardening</labl>
  </catgry>
  <catgry>
    <catValu>466008</catValu>
    <labl>Northwestern Sorghum, Remittances, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>466009</catValu>
    <labl>Central Sorghum and Millet</labl>
  </catgry>
  <catgry>
    <catValu>466010</catValu>
    <labl>Southeastern Sorghum, Millet, and Cotton</labl>
  </catgry>
  <catgry>
    <catValu>466011</catValu>
    <labl>Southern Maize, Cotton, and Fruits</labl>
  </catgry>
  <catgry>
    <catValu>466012</catValu>
    <labl>Southwestern Maize, Livestock, and Gold Mining</labl>
  </catgry>
  <catgry>
    <catValu>466013</catValu>
    <labl>Center-eastern Millet and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>466014</catValu>
    <labl>Lakes Recessional Millet and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>466015</catValu>
    <labl>Western Groundnut, Sorghum, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>466016</catValu>
    <labl>Southwestern Gold Mining and Maize</labl>
  </catgry>
  <catgry>
    <catValu>466017</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>478001</catValu>
    <labl>Nomadic pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>478002</catValu>
    <labl>Mine and pastoral</labl>
  </catgry>
  <catgry>
    <catValu>478003</catValu>
    <labl>Mixed pastoral, oases and wadis</labl>
  </catgry>
  <catgry>
    <catValu>478004</catValu>
    <labl>Littoral coastal fishing</labl>
  </catgry>
  <catgry>
    <catValu>478005</catValu>
    <labl>Pastoral and trade</labl>
  </catgry>
  <catgry>
    <catValu>478006</catValu>
    <labl>Transhumant pastoralism</labl>
  </catgry>
  <catgry>
    <catValu>478007</catValu>
    <labl>Agropastoralism</labl>
  </catgry>
  <catgry>
    <catValu>478008</catValu>
    <labl>Senegal valley agriculture</labl>
  </catgry>
  <catgry>
    <catValu>478009</catValu>
    <labl>Rainfed agriculture</labl>
  </catgry>
  <catgry>
    <catValu>508001</catValu>
    <labl>Lakeshore Basic Staples and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508002</catValu>
    <labl>Northern Highland Forest and Tourism</labl>
  </catgry>
  <catgry>
    <catValu>508003</catValu>
    <labl>Northwestern Tobacco and Maize</labl>
  </catgry>
  <catgry>
    <catValu>508004</catValu>
    <labl>Northern Cassava, Maize, and Forest</labl>
  </catgry>
  <catgry>
    <catValu>508005</catValu>
    <labl>Northern Highland with Mixed Cropping</labl>
  </catgry>
  <catgry>
    <catValu>508006</catValu>
    <labl>Northeastern Highland Forest</labl>
  </catgry>
  <catgry>
    <catValu>508007</catValu>
    <labl>Northeastern Cassava, Cashew, and Coconut</labl>
  </catgry>
  <catgry>
    <catValu>508008</catValu>
    <labl>North-Central Coastal Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508009</catValu>
    <labl>Plains with Cassava, Rice, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508010</catValu>
    <labl>Zambezi Valley with Maize and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508011</catValu>
    <labl>Northwestern Cropping and Cross-border Trade</labl>
  </catgry>
  <catgry>
    <catValu>508012</catValu>
    <labl>Coastal Sugarcane and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508013</catValu>
    <labl>Tete Highland Mixed Cropping, Tobbaco, and Cotton</labl>
  </catgry>
  <catgry>
    <catValu>508014</catValu>
    <labl>Cahora Bassa Dam Sesame and Cotton</labl>
  </catgry>
  <catgry>
    <catValu>508015</catValu>
    <labl>Central Semiarid Cotton and Minerals</labl>
  </catgry>
  <catgry>
    <catValu>508016</catValu>
    <labl>Manica Highland Mixed Cropping, Cotton, and Tobacco</labl>
  </catgry>
  <catgry>
    <catValu>508017</catValu>
    <labl>Central Manica and Sofala Mixed Cropping</labl>
  </catgry>
  <catgry>
    <catValu>508018</catValu>
    <labl>Cheringoma and Muanza Maize and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>508019</catValu>
    <labl>Central Semiarid Pineapple and Cashew</labl>
  </catgry>
  <catgry>
    <catValu>508020</catValu>
    <labl>Southern Coastal Cassava, Coconut, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508021</catValu>
    <labl>Southern Intermediate Mixed Cropping</labl>
  </catgry>
  <catgry>
    <catValu>508022</catValu>
    <labl>Southern Semiarid Cereals and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>508023</catValu>
    <labl>Southeastern Rice</labl>
  </catgry>
  <catgry>
    <catValu>508024</catValu>
    <labl>Limpopo and Elephant Rivers Mixed Cropping</labl>
  </catgry>
  <catgry>
    <catValu>508025</catValu>
    <labl>Southern Coastal Rishing, Manioc, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>508026</catValu>
    <labl>Southern Highland Cattle and Mixed Cropping</labl>
  </catgry>
  <catgry>
    <catValu>558000</catValu>
    <labl>Urban Area</labl>
  </catgry>
  <catgry>
    <catValu>558001</catValu>
    <labl>Pacific Coast Export Fishing, Aquaculture, Tourism and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>558002</catValu>
    <labl>Pacific Agro-Industrial and Transitional Agriculture Zone</labl>
  </catgry>
  <catgry>
    <catValu>558003</catValu>
    <labl>Northwest Subsistence Agriculture, Livestock and Alternate Income Activities Zone</labl>
  </catgry>
  <catgry>
    <catValu>558004</catValu>
    <labl>EstelÃ­ Traditional and Industrial Tobacco Zone</labl>
  </catgry>
  <catgry>
    <catValu>558005</catValu>
    <labl>Managua Peri-urban Free-Trade, Agro-industry and Services Zone</labl>
  </catgry>
  <catgry>
    <catValu>558006</catValu>
    <labl>East-Central Vegetables, Informal Trade, Industry and Tourism ZoneÂ</labl>
  </catgry>
  <catgry>
    <catValu>558007</catValu>
    <labl>Southern Pacific, Agriculture and High Migration Zone</labl>
  </catgry>
  <catgry>
    <catValu>558008</catValu>
    <labl>Central Cattle and Agricultural Frontier Zone</labl>
  </catgry>
  <catgry>
    <catValu>558009</catValu>
    <labl>Agriculture and Livestock with High Migration to Costa Rica Zone</labl>
  </catgry>
  <catgry>
    <catValu>558010</catValu>
    <labl>Caribbean Humid Tropical Agriculture Zone</labl>
  </catgry>
  <catgry>
    <catValu>558011</catValu>
    <labl>Northern Atlantic Agricultural Frontier and Mining Zone</labl>
  </catgry>
  <catgry>
    <catValu>558012</catValu>
    <labl>Coffee with Commercial Agriculture and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>558013</catValu>
    <labl>Northern Market-bound Basic Grains, Livestock and Coffee Zone</labl>
  </catgry>
  <catgry>
    <catValu>558014</catValu>
    <labl>Communal Forestry Zone</labl>
  </catgry>
  <catgry>
    <catValu>558015</catValu>
    <labl>Coco River Traditional Agriculture Zone</labl>
  </catgry>
  <catgry>
    <catValu>558016</catValu>
    <labl>Caribbean Coast Traditional Fishing Zone</labl>
  </catgry>
  <catgry>
    <catValu>558025</catValu>
    <labl>National Forest Reserve</labl>
  </catgry>
  <catgry>
    <catValu>562000</catValu>
    <labl>Not Zoned (Desert)</labl>
  </catgry>
  <catgry>
    <catValu>562001</catValu>
    <labl>North-east Oases: Dates, Salt and Trade</labl>
  </catgry>
  <catgry>
    <catValu>562002</catValu>
    <labl>AÃ¯r Massif Irrigated Gardening</labl>
  </catgry>
  <catgry>
    <catValu>562003</catValu>
    <labl>Transhumant and Nomad Pastoralism</labl>
  </catgry>
  <catgry>
    <catValu>562004</catValu>
    <labl>Agropastoral Belt</labl>
  </catgry>
  <catgry>
    <catValu>562005</catValu>
    <labl>Rainfed Millet and Sorghum Belt</labl>
  </catgry>
  <catgry>
    <catValu>562006</catValu>
    <labl>Cropping and Herding with High Work Outmigration</labl>
  </catgry>
  <catgry>
    <catValu>562007</catValu>
    <labl>Southern Irrigated Cash Crops</labl>
  </catgry>
  <catgry>
    <catValu>562008</catValu>
    <labl>Southwestern Cereals with Fan-Palm Products</labl>
  </catgry>
  <catgry>
    <catValu>562009</catValu>
    <labl>Niger River Irrigated Rice</labl>
  </catgry>
  <catgry>
    <catValu>562010</catValu>
    <labl>Dallols - Seasonal Water-Course Irrigated Crops</labl>
  </catgry>
  <catgry>
    <catValu>562011</catValu>
    <labl>Southeastern Natron Salt and Small Basin Irrigated Dates</labl>
  </catgry>
  <catgry>
    <catValu>562012</catValu>
    <labl>Komadougou Irrigated Peppers</labl>
  </catgry>
  <catgry>
    <catValu>562013</catValu>
    <labl>Lake Chad Flood-Retreat Cultivation with Fishing</labl>
  </catgry>
  <catgry>
    <catValu>562014</catValu>
    <labl>Transhumant and Nomad Pastoralism-Camels</labl>
  </catgry>
  <catgry>
    <catValu>566001</catValu>
    <labl>Coastal Fishing</labl>
  </catgry>
  <catgry>
    <catValu>566002</catValu>
    <labl>Southern Cocoa, Palm Oil, and Kola nut</labl>
  </catgry>
  <catgry>
    <catValu>566003</catValu>
    <labl>South-Central Yam, Cassava, and Banana</labl>
  </catgry>
  <catgry>
    <catValu>566004</catValu>
    <labl>Southeast Rice, Salt, and Granite</labl>
  </catgry>
  <catgry>
    <catValu>566005</catValu>
    <labl>Niger and Benue River Floodplain Rice and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>566006</catValu>
    <labl>Central Plain Yam and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>566007</catValu>
    <labl>Mambilla Plateau Cattle, Cocoa, and Tea</labl>
  </catgry>
  <catgry>
    <catValu>566008</catValu>
    <labl>Central Highland Maize and Soybean</labl>
  </catgry>
  <catgry>
    <catValu>566009</catValu>
    <labl>Northeastern Highland Maize, Cocoyam, Potatoes, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>566010</catValu>
    <labl>North-Central Maize, Sorghum, and Cotton</labl>
  </catgry>
  <catgry>
    <catValu>566011</catValu>
    <labl>Northern Floodplains Irrigated Rice, Wheat, and Vegetables</labl>
  </catgry>
  <catgry>
    <catValu>566012</catValu>
    <labl>Northeast Millet, Cowpea, and Sesame</labl>
  </catgry>
  <catgry>
    <catValu>566013</catValu>
    <labl>Sahel Mixed Cereals and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>686000</catValu>
    <labl>Urban Area - Dakar</labl>
  </catgry>
  <catgry>
    <catValu>686001</catValu>
    <labl>The Niayes Gardening and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>686002</catValu>
    <labl>Delta Rice, Horticulture, and Agricultural Labor</labl>
  </catgry>
  <catgry>
    <catValu>686003</catValu>
    <labl>Valley Rice and Remittances</labl>
  </catgry>
  <catgry>
    <catValu>686004</catValu>
    <labl>Dieri Millet and Remittances</labl>
  </catgry>
  <catgry>
    <catValu>686005</catValu>
    <labl>Rainfed Cowpea and Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>686006</catValu>
    <labl>Sylvopatoral Livestock and Gathering</labl>
  </catgry>
  <catgry>
    <catValu>686007</catValu>
    <labl>Small Coast Fishing and Tourism</labl>
  </catgry>
  <catgry>
    <catValu>686008</catValu>
    <labl>Rainfed Groundnut and Millet</labl>
  </catgry>
  <catgry>
    <catValu>686009</catValu>
    <labl>Agropastoral Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>686010</catValu>
    <labl>Rainfed Groundnut and Cereals</labl>
  </catgry>
  <catgry>
    <catValu>686011</catValu>
    <labl>Forest and Rainfed Rice</labl>
  </catgry>
  <catgry>
    <catValu>686012</catValu>
    <labl>Forest, Rainfed Rice, and Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>686013</catValu>
    <labl>Rainfed Maize, Cotton, and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>686014</catValu>
    <labl>Rainfed Maize and Lumber</labl>
  </catgry>
  <catgry>
    <catValu>686015</catValu>
    <labl>Rainfed Maize and Artisanal Gold Mining</labl>
  </catgry>
  <catgry>
    <catValu>686016</catValu>
    <labl>National Park</labl>
  </catgry>
  <catgry>
    <catValu>694000</catValu>
    <labl>Urban Area - Not Zoned</labl>
  </catgry>
  <catgry>
    <catValu>694001</catValu>
    <labl>Tonkolli Food Crops, Gold and Iron Ore</labl>
  </catgry>
  <catgry>
    <catValu>694002</catValu>
    <labl>Bombali Food Crops, Peppers, Tobacco and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>694003</catValu>
    <labl>Western Rice, Root Crops, Cereals and Trade Belt</labl>
  </catgry>
  <catgry>
    <catValu>694004</catValu>
    <labl>Coastal Food Crops and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>694005</catValu>
    <labl>Kailahun-Kenema-Pujehun Cash Crops, Food Crops and Trade</labl>
  </catgry>
  <catgry>
    <catValu>694006</catValu>
    <labl>Kono-Kenema-Bo Rice, Tree Crops and Timbers</labl>
  </catgry>
  <catgry>
    <catValu>694007</catValu>
    <labl>Koinadugu Food Crops, Livestock and Trade</labl>
  </catgry>
  <catgry>
    <catValu>694008</catValu>
    <labl>Follosoba Dembellia and Wara Wara Yagala Vegetables</labl>
  </catgry>
  <catgry>
    <catValu>694009</catValu>
    <labl>Freetown Peri-Urban</labl>
  </catgry>
  <catgry>
    <catValu>694010</catValu>
    <labl>Rice Bowl Areas</labl>
  </catgry>
  <catgry>
    <catValu>706001</catValu>
    <labl>Guban Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>706002</catValu>
    <labl>West Golis Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>706003</catValu>
    <labl>Northwestern Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>706004</catValu>
    <labl>Togdheer Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>706005</catValu>
    <labl>Hawd Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>706006</catValu>
    <labl>Northern Inland Pastoral â€“ Goats and Sheep</labl>
  </catgry>
  <catgry>
    <catValu>706007</catValu>
    <labl>East Golis â€“ Frankincense, Goats, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>706008</catValu>
    <labl>Coastal Deeh Pastoral and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>706009</catValu>
    <labl>Addun Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>706010</catValu>
    <labl>Cowpea Belt Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>706011</catValu>
    <labl>Southern Inland Pastoral â€“ Camels, Goats, Sheep, and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>706012</catValu>
    <labl>Southern Agropastoral â€“ Goats, Camels, and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>706013</catValu>
    <labl>Riverine Pump Irrigation</labl>
  </catgry>
  <catgry>
    <catValu>706014</catValu>
    <labl>Riverine Gravity Irrigation</labl>
  </catgry>
  <catgry>
    <catValu>706015</catValu>
    <labl>Sorghum High Potential Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>706016</catValu>
    <labl>Bay Bakool Low Potential Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>706017</catValu>
    <labl>Southern Rainfed Agropastoral â€“ Maize, Cattle, and Goats</labl>
  </catgry>
  <catgry>
    <catValu>706018</catValu>
    <labl>Juba Pastoral â€“  Cattle and Goats</labl>
  </catgry>
  <catgry>
    <catValu>706019</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>716000</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>716001</catValu>
    <labl>Agrofisheries</labl>
  </catgry>
  <catgry>
    <catValu>716002</catValu>
    <labl>Beitbridge South Western Lowveld Communal</labl>
  </catgry>
  <catgry>
    <catValu>716003</catValu>
    <labl>Bikita-Zaka Highlands Communal</labl>
  </catgry>
  <catgry>
    <catValu>716004</catValu>
    <labl>Central and Northern Semi Intensive Farming</labl>
  </catgry>
  <catgry>
    <catValu>716005</catValu>
    <labl>Cereal and High Cotton Communal</labl>
  </catgry>
  <catgry>
    <catValu>716006</catValu>
    <labl>Cereal and Low Cotton Communal</labl>
  </catgry>
  <catgry>
    <catValu>716007</catValu>
    <labl>Eastern Highlands Commercial Farming</labl>
  </catgry>
  <catgry>
    <catValu>716008</catValu>
    <labl>Eastern Highlands Prime Communal</labl>
  </catgry>
  <catgry>
    <catValu>716009</catValu>
    <labl>Eastern Kalahari Sandveld Communal</labl>
  </catgry>
  <catgry>
    <catValu>716010</catValu>
    <labl>Greater Mudzi Communal</labl>
  </catgry>
  <catgry>
    <catValu>716011</catValu>
    <labl>Highveld Prime Cereal and Cash Crop Resettlement</labl>
  </catgry>
  <catgry>
    <catValu>716012</catValu>
    <labl>Highveld Prime Communal</labl>
  </catgry>
  <catgry>
    <catValu>716013</catValu>
    <labl>Irrigated Commercial Sugar and Fruit Farming</labl>
  </catgry>
  <catgry>
    <catValu>716014</catValu>
    <labl>Kariba Valley and Kariangwe-Jambezi Communal</labl>
  </catgry>
  <catgry>
    <catValu>716015</catValu>
    <labl>Livestock and Cereal  Farming Communal in Forests</labl>
  </catgry>
  <catgry>
    <catValu>716016</catValu>
    <labl>Lusulu, Lupane and Southern Gokwe Mixed Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>716017</catValu>
    <labl>Masvingo Manicaland Middleveld Smallholder</labl>
  </catgry>
  <catgry>
    <catValu>716018</catValu>
    <labl>Matabeleland Middleveld Communal</labl>
  </catgry>
  <catgry>
    <catValu>716019</catValu>
    <labl>Mutorashanga Informal mining</labl>
  </catgry>
  <catgry>
    <catValu>716020</catValu>
    <labl>Mwenezi, Chivi and South Midland Communal</labl>
  </catgry>
  <catgry>
    <catValu>716021</catValu>
    <labl>Northern Cattle and Cereal Farming</labl>
  </catgry>
  <catgry>
    <catValu>716022</catValu>
    <labl>Northern Zambezi Valley Communal</labl>
  </catgry>
  <catgry>
    <catValu>716023</catValu>
    <labl>Save River Valley and Ndowoyo Communal</labl>
  </catgry>
  <catgry>
    <catValu>716024</catValu>
    <labl>Southern Cattle and Cereal Farming</labl>
  </catgry>
  <catgry>
    <catValu>716025</catValu>
    <labl>Western Kalahari Sandveld Communal</labl>
  </catgry>
  <catgry>
    <catValu>716026</catValu>
    <labl>National Park</labl>
  </catgry>
  <catgry>
    <catValu>728001</catValu>
    <labl>Equatorial maize and cassava</labl>
  </catgry>
  <catgry>
    <catValu>728002</catValu>
    <labl>Ironstone Plateau agro-pastoral</labl>
  </catgry>
  <catgry>
    <catValu>728003</catValu>
    <labl>Highland forest and sorghum</labl>
  </catgry>
  <catgry>
    <catValu>728004</catValu>
    <labl>Western groundnuts, sesame and sorghum</labl>
  </catgry>
  <catgry>
    <catValu>728005</catValu>
    <labl>Eastern semi-arid pastoral</labl>
  </catgry>
  <catgry>
    <catValu>728006</catValu>
    <labl>Eastern plains sorghum and cattle</labl>
  </catgry>
  <catgry>
    <catValu>728007</catValu>
    <labl>Greater Bahr el Ghazal sorghum and cattle</labl>
  </catgry>
  <catgry>
    <catValu>728008</catValu>
    <labl>Nile basin fishing and agro-pastoral</labl>
  </catgry>
  <catgry>
    <catValu>728009</catValu>
    <labl>Oil resources, maize and cattle</labl>
  </catgry>
  <catgry>
    <catValu>728010</catValu>
    <labl>Northeastern maize and cattle</labl>
  </catgry>
  <catgry>
    <catValu>728011</catValu>
    <labl>Northern sorhgum and livestock</labl>
  </catgry>
  <catgry>
    <catValu>729000</catValu>
    <labl>Not Zoned</labl>
  </catgry>
  <catgry>
    <catValu>729001</catValu>
    <labl>Northern Riverine Small-scale Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>729002</catValu>
    <labl>Southern Riverine Small/Medium-scale Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>729003</catValu>
    <labl>Eastern Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>729004</catValu>
    <labl>West and Central Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>729005</catValu>
    <labl>Eastern Khors Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>729006</catValu>
    <labl>Coastal Fishing</labl>
  </catgry>
  <catgry>
    <catValu>729007</catValu>
    <labl>Eastern Agropastoral Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>729008</catValu>
    <labl>Flood-retreat Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>729009</catValu>
    <labl>Central Irrigated Schemes</labl>
  </catgry>
  <catgry>
    <catValu>729010</catValu>
    <labl>Southeast Rainfed Semi-mechanized Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>729011</catValu>
    <labl>Rainfed Sorghum Belt</labl>
  </catgry>
  <catgry>
    <catValu>729012</catValu>
    <labl>Western Agropastoral Millet and Groundnuts</labl>
  </catgry>
  <catgry>
    <catValu>729013</catValu>
    <labl>Western Agropastoral Millet</labl>
  </catgry>
  <catgry>
    <catValu>729014</catValu>
    <labl>Central Rainfed Millet and Sesame</labl>
  </catgry>
  <catgry>
    <catValu>729015</catValu>
    <labl>Jabel Marra Mixed Highland Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>729016</catValu>
    <labl>Western Wadi Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>729017</catValu>
    <labl>North Darfur Tobacco</labl>
  </catgry>
  <catgry>
    <catValu>729018</catValu>
    <labl>North Kordofan Gum Arabic Belt</labl>
  </catgry>
  <catgry>
    <catValu>729019</catValu>
    <labl>Cattle Dominant Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>800001</catValu>
    <labl>North Eastern Karamoja Highland Apiculture and Potato Zone</labl>
  </catgry>
  <catgry>
    <catValu>800002</catValu>
    <labl>Western Karamoja Mixed Crop Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>800003</catValu>
    <labl>South Eastern Karamoja Cattle Maize Zone</labl>
  </catgry>
  <catgry>
    <catValu>800004</catValu>
    <labl>Karamoja Mountain and Foot Hills Maize and Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800005</catValu>
    <labl>Central Karamoja Sorghum and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>800006</catValu>
    <labl>NE Sorghum Simsim Maize Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>800007</catValu>
    <labl>North Kitgum Gulu Amuru West Nile Simsim Sorghum Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>800008</catValu>
    <labl>Palabek Tobacco Simsim Sorghum and Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800009</catValu>
    <labl>South Kitgum Pader Abim Simsim Groundnuts Sorghum Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800010</catValu>
    <labl>Albertine West Nile Lowland Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800011</catValu>
    <labl>Kafu Muzizi Maize Upland Rice Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800012</catValu>
    <labl>Albertine Escarpment Cotton Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800013</catValu>
    <labl>Bwijanga Pakanyi SugarcaNE Maize Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800014</catValu>
    <labl>Karuma Masindi Oyam Tobacco Maize Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800015</catValu>
    <labl>West Nile Tobacco Cassava Sorghum Zone</labl>
  </catgry>
  <catgry>
    <catValu>800016</catValu>
    <labl>Rwenzori Mt.Elgon West Nile Arabica Coffee Banana Zone</labl>
  </catgry>
  <catgry>
    <catValu>800017</catValu>
    <labl>Amuru Gulu Rice Groundnut Sorghum Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>800018</catValu>
    <labl>Southwest Gulu Beans Groundnuts Shoat Cassava</labl>
  </catgry>
  <catgry>
    <catValu>800019</catValu>
    <labl>Mid North Simsim Maize Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800020</catValu>
    <labl>Eastern Lowland Maize Beans Rice Zone</labl>
  </catgry>
  <catgry>
    <catValu>800021</catValu>
    <labl>Eastern Central Lowland Cassava Sorghum and Groundnut Zone</labl>
  </catgry>
  <catgry>
    <catValu>800022</catValu>
    <labl>Mt Elgon Highland Irish Potato Cereal Zone</labl>
  </catgry>
  <catgry>
    <catValu>800023</catValu>
    <labl>Central and Southern Cattle Cassava Maize Zone</labl>
  </catgry>
  <catgry>
    <catValu>800024</catValu>
    <labl>Lakeshore and Riverbank Fishing Zone</labl>
  </catgry>
  <catgry>
    <catValu>800025</catValu>
    <labl>Southeastern Maize Beans Robusta Coffee Zone</labl>
  </catgry>
  <catgry>
    <catValu>800026</catValu>
    <labl>Midwest Central and Lake Victoria Crescent Robusta Coffee Banana Maize and Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800027</catValu>
    <labl>Rwenzori Midland Banana Fruit Vegetable Dairy Zone</labl>
  </catgry>
  <catgry>
    <catValu>800028</catValu>
    <labl>Kazinga Channel Cassava Maize Fruit Vegetable Cotton Zone</labl>
  </catgry>
  <catgry>
    <catValu>800029</catValu>
    <labl>Rwenzori Lowland Maize Vegetable Banana Zone</labl>
  </catgry>
  <catgry>
    <catValu>800030</catValu>
    <labl>Southeastern Lowland Cassava Cereal Zone</labl>
  </catgry>
  <catgry>
    <catValu>800031</catValu>
    <labl>Eastern Lowland Rice Root Crop Zone</labl>
  </catgry>
  <catgry>
    <catValu>800032</catValu>
    <labl>Southeastern Lowland Cassava Maize Sweet Potato Zone</labl>
  </catgry>
  <catgry>
    <catValu>800033</catValu>
    <labl>East Central Plantation Outgrower Zone</labl>
  </catgry>
  <catgry>
    <catValu>800034</catValu>
    <labl>Kayunga Masaka Pineapple Banana Robusta Coffee and Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800035</catValu>
    <labl>SW Highland Irish Potato Sorghum Vegetable Zone</labl>
  </catgry>
  <catgry>
    <catValu>800036</catValu>
    <labl>Kalangala Fishing Oil Palm Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800037</catValu>
    <labl>Western Rift Valley Cocoa Coffee Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800038</catValu>
    <labl>Rwenzori Midland Tea and Dairy Zone</labl>
  </catgry>
  <catgry>
    <catValu>800039</catValu>
    <labl>Southwestern Midland Banana Robusta Coffee Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800040</catValu>
    <labl>SW Rift Valley Tobacco Bean Millet Zone</labl>
  </catgry>
  <catgry>
    <catValu>800041</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>800042</catValu>
    <labl>National Park</labl>
  </catgry>
  <catgry>
    <catValu>834001</catValu>
    <labl>Southern Maasai Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>834002</catValu>
    <labl>River Pangani Paddy and Maize Basin</labl>
  </catgry>
  <catgry>
    <catValu>834003</catValu>
    <labl>Tanga Maize and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>834004</catValu>
    <labl>Tanga Maize and Sisal Employment</labl>
  </catgry>
  <catgry>
    <catValu>834005</catValu>
    <labl>Usambara-Pare Highland</labl>
  </catgry>
  <catgry>
    <catValu>834006</catValu>
    <labl>Tanga Maize, Orange, and Jackfruit Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834007</catValu>
    <labl>Tanga-Pwani Coastal Maize, Paddy Belt</labl>
  </catgry>
  <catgry>
    <catValu>834008</catValu>
    <labl>Handeni-Bagamoyo Maize, Cassava, and Fruit Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834009</catValu>
    <labl>Loliondo Midland Maize, Beans, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834010</catValu>
    <labl>Lower Rombo Maize, Beans, and Finger Millet</labl>
  </catgry>
  <catgry>
    <catValu>834011</catValu>
    <labl>Kilimanjaro-Meru Maize, Coffee, and Plantains</labl>
  </catgry>
  <catgry>
    <catValu>834012</catValu>
    <labl>Karatu Wheat, Maize, and Coffee</labl>
  </catgry>
  <catgry>
    <catValu>834013</catValu>
    <labl>Lower Arusha-Simanjiro Maize</labl>
  </catgry>
  <catgry>
    <catValu>834014</catValu>
    <labl>Northern Maasai Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>834015</catValu>
    <labl>Nowu Maize, Beans, and Onions Highlands</labl>
  </catgry>
  <catgry>
    <catValu>834016</catValu>
    <labl>Babati Kwaraa Maize, Beans, Sunflower, and Coffee</labl>
  </catgry>
  <catgry>
    <catValu>834017</catValu>
    <labl>Kiteto-Kongwa-Mpwapwa-Mvomero Maize, Sorghum, and Pigeon Pea</labl>
  </catgry>
  <catgry>
    <catValu>834018</catValu>
    <labl>Mbulu-Karatu Midlands Maize, Beans, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834019</catValu>
    <labl>Hadzabe Hunter-Gatherer Wild Honey, Wild Roots, and Wild Fruit</labl>
  </catgry>
  <catgry>
    <catValu>834020</catValu>
    <labl>Wembere Paddy, Sorghum, Maize, Sunflower, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>834021</catValu>
    <labl>Bahi-Sanza Irrigated Rice, Maize, Bulrush Millet, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834022</catValu>
    <labl>Iramba Midland Onion, Maize, and Sunflower</labl>
  </catgry>
  <catgry>
    <catValu>834023</catValu>
    <labl>Manyoni Upland Maize, Sunflower, Sesame, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834024</catValu>
    <labl>Tabora-Singida Midland Maize, Sunflower, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834025</catValu>
    <labl>Singida-Manyara Maize, Sorghum, Beans, and Sunflower</labl>
  </catgry>
  <catgry>
    <catValu>834026</catValu>
    <labl>East and South Lakeshore Fishing, Cassava, and Upland Rice</labl>
  </catgry>
  <catgry>
    <catValu>834027</catValu>
    <labl>Western Lakeshore Coffee, Fishing, and Banana</labl>
  </catgry>
  <catgry>
    <catValu>834028</catValu>
    <labl>Kagera-Kigoma-Mara Banana, Coffee, and Beans</labl>
  </catgry>
  <catgry>
    <catValu>834029</catValu>
    <labl>Mwanza-Shinyanga-Mara Cotton, Livestock, Cassava, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834030</catValu>
    <labl>Kagera Lowlands Beans, Maize, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834031</catValu>
    <labl>Shinyanga-Tabora Cotton, Upland Rice, Sweet Potato, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834032</catValu>
    <labl>Sengerema-Geita Highland Cassava, Rice, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834033</catValu>
    <labl>Kagera-Kigoma Beans, Cassava, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834034</catValu>
    <labl>Kahama-Tabora Midland Tobacco, Maize, Rice, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834035</catValu>
    <labl>Kishapu-Meatu-Maswa Sorghum, Cotton, Sweet Potato, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834036</catValu>
    <labl>Urambo-Nzega Lowland Groundnuts, Cotton, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834037</catValu>
    <labl>Kigoma Lowland Palm Oil, Cassava, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834038</catValu>
    <labl>Urambo Agropastoral Maize and Sweet Potato</labl>
  </catgry>
  <catgry>
    <catValu>834039</catValu>
    <labl>Victoria Islands Fishing, Cassava, Sweet Potato, and Paddy</labl>
  </catgry>
  <catgry>
    <catValu>834040</catValu>
    <labl>Ruaha Riverine Maize, Onion, Tomato, and Paddy Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834041</catValu>
    <labl>Chalinze-Tunuguo Maize, Cattle, and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>834042</catValu>
    <labl>Kilombero-Mtibwa Paddy, Maize, and Sugar Employment</labl>
  </catgry>
  <catgry>
    <catValu>834043</catValu>
    <labl>Kilombero-Ulanga-Lusewa Paddy, Maize, and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>834044</catValu>
    <labl>Kilosa-Mvomero Maize and Paddy Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834045</catValu>
    <labl>Matombo-Kuyuni Spice, Maize, and Banana</labl>
  </catgry>
  <catgry>
    <catValu>834046</catValu>
    <labl>Bagamoyo-Kibaha Midland Cassava, Cashew, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834047</catValu>
    <labl>Morogoro Highland Maize and Vegetable</labl>
  </catgry>
  <catgry>
    <catValu>834048</catValu>
    <labl>Maskat-Kimbet Maize and Beans Highlands</labl>
  </catgry>
  <catgry>
    <catValu>834049</catValu>
    <labl>Newala-Masasi Plateau Sesame, Cassava, Cashew, and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>834050</catValu>
    <labl>Mtwara-Lindi Coastal Rice and Cashew</labl>
  </catgry>
  <catgry>
    <catValu>834051</catValu>
    <labl>Matumbi Midland Upland Rice, Oranges, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834052</catValu>
    <labl>Lindi-Nachingwea Lowland Cassava and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834053</catValu>
    <labl>Southeastern Plateau Cassava, Cashew, and Bambara Nuts</labl>
  </catgry>
  <catgry>
    <catValu>834054</catValu>
    <labl>Mtwara-Lindi-Pwani Riverine</labl>
  </catgry>
  <catgry>
    <catValu>834055</catValu>
    <labl>Singida-Dodoma Sorghum, B/Millet, Sunflower, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834056</catValu>
    <labl>Dodoma Lowland Sunflower, Grape, and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>834057</catValu>
    <labl>Mpanda Maize, Paddy, Sunflower, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834058</catValu>
    <labl>Lake Tanganyika-Rukwa Fishing, Maize, and Sunflower</labl>
  </catgry>
  <catgry>
    <catValu>834059</catValu>
    <labl>Kyela Paddy, Cacao, and Palm Oil Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834060</catValu>
    <labl>Rungwe Banana, Coffee, Tea, and Livestock Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834061</catValu>
    <labl>Mporoto-Umalila Irish Potato, Maize, Wheat, and Pyrethrum Highlands</labl>
  </catgry>
  <catgry>
    <catValu>834062</catValu>
    <labl>Mbozi-Mbeya Coffee, Maize, Beans, and Livestock Highlands</labl>
  </catgry>
  <catgry>
    <catValu>834063</catValu>
    <labl>Usangu Paddy, Maize, Sorghum, and Livestock Wetlands</labl>
  </catgry>
  <catgry>
    <catValu>834064</catValu>
    <labl>Kamsamba Paddy, Sorghum, and Livestock Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834065</catValu>
    <labl>Chunya Maize, Sunflower, Cassava, and Groundnut Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834066</catValu>
    <labl>West Chunya Maize, Bulrush Millet, and Sesame Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834067</catValu>
    <labl>Lake Nyasa Shore Cassava Fishing and Paddy</labl>
  </catgry>
  <catgry>
    <catValu>834068</catValu>
    <labl>Namtumbo Tobacco, Maize, Paddy, and Cassava Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834069</catValu>
    <labl>Matengo Coffee, Maize, Beans, and Piggery Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834070</catValu>
    <labl>Songea-Namtumbo-Ludewa-Mibinga Maize, Beans, and Cassava Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834071</catValu>
    <labl>Njombe-Mufindi Maize, Timber, Tea, Pyrethrum, and Employment</labl>
  </catgry>
  <catgry>
    <catValu>834072</catValu>
    <labl>Mtera Dam Fishing, Sorghum, and Sesame</labl>
  </catgry>
  <catgry>
    <catValu>834073</catValu>
    <labl>Makete Wheat, Irish Potato, Timber, and Employment Highlands</labl>
  </catgry>
  <catgry>
    <catValu>834074</catValu>
    <labl>Njombe-Mufindi Maize, Irish Potato, and Bean</labl>
  </catgry>
  <catgry>
    <catValu>834075</catValu>
    <labl>Iringa-Mbarali Maize, Sunflower, Beans, and Groundnut Belt</labl>
  </catgry>
  <catgry>
    <catValu>834076</catValu>
    <labl>Tunduru-Nachingwea-Nanyumbu Cashew, Cassava, and Paddy Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834077</catValu>
    <labl>Mpanda-Chunya-Sikonge Maize and Tobacco Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834078</catValu>
    <labl>Sumbawanga-Mbozi-Mpanda Maize, Sunflower, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834098</catValu>
    <labl>Water</labl>
  </catgry>
  <catgry>
    <catValu>834099</catValu>
    <labl>Not Zoned</labl>
  </catgry>
  <catgry>
    <catValu>854001</catValu>
    <labl>South tubers and cereals</labl>
  </catgry>
  <catgry>
    <catValu>854002</catValu>
    <labl>Southwest fruits, cotton, and cereals</labl>
  </catgry>
  <catgry>
    <catValu>854003</catValu>
    <labl>West cotton and cereals</labl>
  </catgry>
  <catgry>
    <catValu>854004</catValu>
    <labl>West cereals and remittances</labl>
  </catgry>
  <catgry>
    <catValu>854005</catValu>
    <labl>Central plateau cereals and market gardening</labl>
  </catgry>
  <catgry>
    <catValu>854006</catValu>
    <labl>Ouagadougou peri-urban</labl>
  </catgry>
  <catgry>
    <catValu>854007</catValu>
    <labl>North and east livestock and cereals</labl>
  </catgry>
  <catgry>
    <catValu>854008</catValu>
    <labl>North transhumant pastoralism and millet</labl>
  </catgry>
  <catgry>
    <catValu>854009</catValu>
    <labl>Southeast cereals, livestock, forestry and faune</labl>
  </catgry>
  <catgry>
    <catValu>887001</catValu>
    <labl>Amran Rainfed Sorghum, Barley, Qat, and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887002</catValu>
    <labl>Arabian Sea Coastal Irrigated Tropical Fruit, Fodder and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887003</catValu>
    <labl>Central and Eastern Plateau Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>887004</catValu>
    <labl>Central and Eastern Wadi Palm, Wheat, Vegetable and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887005</catValu>
    <labl>Central Highland Potato, Vegetable and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887006</catValu>
    <labl>Eastern Plateau Sorghum, Millet and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887007</catValu>
    <labl>Greater Yemen Coastal and Island Fishing Zone</labl>
  </catgry>
  <catgry>
    <catValu>887008</catValu>
    <labl>Northern and Eastern Desert Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>887009</catValu>
    <labl>Sa'adah Irrigated Wheat, Fruit, Vegetable, Qat, and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887010</catValu>
    <labl>Western and Central Highland Qat, Grain, Fodder and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887011</catValu>
    <labl>Western and Central Wadi Sorghum, Millet, Vegetable, Fruit and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887012</catValu>
    <labl>Western Central Highland Coffee, Qat, Sorghum and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887013</catValu>
    <labl>Western Central Highland Wheat, Sorghum, Qat, and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887014</catValu>
    <labl>Western Coastal Plain Sorghum, Millet, and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887015</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>894001</catValu>
    <labl>Zambezi Plain Rice, Livestock, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>894002</catValu>
    <labl>Southwestern Cereal, Livestock, and Timber</labl>
  </catgry>
  <catgry>
    <catValu>894003</catValu>
    <labl>Western and Northwestern Cassava, Maize, and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>894004</catValu>
    <labl>Kaoma Smallholder Food Crop and Tobacco</labl>
  </catgry>
  <catgry>
    <catValu>894005</catValu>
    <labl>Northwestern Timber and Honey</labl>
  </catgry>
  <catgry>
    <catValu>894006</catValu>
    <labl>Solwezi and Kasempa Mining Labor and Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>894007</catValu>
    <labl>Kafue Plain Maize, Cattle, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>894008</catValu>
    <labl>Commercial Rail Line Maize, Livestock, and Cotton</labl>
  </catgry>
  <catgry>
    <catValu>894009</catValu>
    <labl>Southern Plateau Cattle, Maize, and Tobacco</labl>
  </catgry>
  <catgry>
    <catValu>894010</catValu>
    <labl>Zambezi Valley Agro-fisheries</labl>
  </catgry>
  <catgry>
    <catValu>894011</catValu>
    <labl>Mkushi, Chisamba, and Mpongwe Commercial Farming Block</labl>
  </catgry>
  <catgry>
    <catValu>894012</catValu>
    <labl>Central Copperbelt Maize, Cassava, and Sweet Potato</labl>
  </catgry>
  <catgry>
    <catValu>894013</catValu>
    <labl>Copperbelt Labor and Trade</labl>
  </catgry>
  <catgry>
    <catValu>894014</catValu>
    <labl>Mkushi and Serenje Maize, Sweet Potato, and Horticulture</labl>
  </catgry>
  <catgry>
    <catValu>894015</catValu>
    <labl>Luangwa Valley Informal Mining, Fishing, and Hunting</labl>
  </catgry>
  <catgry>
    <catValu>894016</catValu>
    <labl>Eastern Plateau Maize, Cotton, and Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>894017</catValu>
    <labl>Eastern Plateau Maize, Groundnut, Tobacco, and Trade</labl>
  </catgry>
  <catgry>
    <catValu>894018</catValu>
    <labl>Luangwa Valley Subsistence Farming, Hunting, and Tourism</labl>
  </catgry>
  <catgry>
    <catValu>894019</catValu>
    <labl>Northern Border Maize, Beans, Livestock, and Trade</labl>
  </catgry>
  <catgry>
    <catValu>894020</catValu>
    <labl>Muchinga, Northern, and Luapula Cassava, Groundnut, and Mill</labl>
  </catgry>
  <catgry>
    <catValu>894021</catValu>
    <labl>Mweru, Bangweulu, and Tanganyika Fisheries</labl>
  </catgry>
  <txt>LIVELIHOOD reports the predominant livelihood zone within a 5-kilometer circular buffer around each DHS cluster location. Livelihood zones can be used as an indicator for sources of food and/or income and as a measure of people's vulnerability to hazards, such as flood, drought, food crisis, market disruption, or conflicts. 

Information on livelihood zones are available for selected countries of Africa, Afghanistan, El Salvador, Haiti, Honduras, and Nicaragua. Livelihood zones are country-specific; therefore, codes and labels for LIVELIHOOD vary across countries. 

The original LIVELIHOOD zone codes from the Famine Early Warning Systems Network (FEWS NET [URL omitted from DDI.]) begin with the 2-character alphabetic ISO code followed by the livelihood zone code. In place of the 2-character alphabetic ISO code used in the source data, IPUMS-DHS substitutes the 3-digit ISO country code (e.g., 231 for Ethiopia), followed by the 3-digit numeric livelihood zone code (e.g., 177 for West Central Teff).

LIVELIHOOD, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_CROPLAND" name="C_CROPLAND" files="C" intrvl="discrete">
  <labl>Proportion of land area used for agriculture (circa 2000)</labl>
  <imputation>Proportion of land area used for agriculture (circa 2000)</imputation>
  <security>Proportion of land area used for agriculture (circa 2000)</security>
  <embargo>Proportion of land area used for agriculture (circa 2000)</embargo>
  <respUnit>Proportion of land area used for agriculture (circa 2000)</respUnit>
  <catgry>
    <catValu>-00998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>CROPLAND reports the proportion of land that is planted in crops, for a 10-kilometer circular buffer around each DHS cluster location. The statistics reported in CROPLAND are based on agricultural censuses and remotely sensed imagery circa 2000. 

CROPLAND is available for every IPUMS-DHS sample with GPS data. 
 
CROPLAND, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PASTURELAND" name="C_PASTURELAND" files="C" intrvl="discrete">
  <labl>Proportion of land area used for pastureland (circa 2000)</labl>
  <imputation>Proportion of land area used for pastureland (circa 2000)</imputation>
  <security>Proportion of land area used for pastureland (circa 2000)</security>
  <embargo>Proportion of land area used for pastureland (circa 2000)</embargo>
  <respUnit>Proportion of land area used for pastureland (circa 2000)</respUnit>
  <catgry>
    <catValu>-00998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>PASTURELAND reports the proportion of land that is used as pasture, for a 10-kilometer circular buffer around each DHS cluster location. The pasture area statistics reported in PASTURELAND are based on agricultural censuses and remotely sensed imagery circa 2000.

PASTURELAND is available for every IPUMS-DHS sample with GPS data. 
 
PASTURELAND, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP" name="C_PRECIP" files="C" intrvl="discrete">
  <labl>Precipitation monthly time-series</labl>
  <imputation>Precipitation monthly time-series</imputation>
  <security>Precipitation monthly time-series</security>
  <embargo>Precipitation monthly time-series</embargo>
  <respUnit>Precipitation monthly time-series</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>PRECIP available</labl>
  </catgry>
  <txt>PRECIP consists of a set of 72 separate variables. These variables report the average precipitation in millimeters, received within a 10-kilometer circular buffer around each DHS cluster location, for the 60 individual months prior to the survey start date, the month of the survey start date, and the 11 individual months following the survey start date. Note that "average" precipitation here refers to averaging the monthly precipitation values for the various subareas included in the buffer zone. 
 
By adding PRECIP to your data cart, you are in effect adding 72 separate variables for:

the 60 individual months prior to the survey start date, denoted by the number of months prior to the survey start date (e.g., PRECIP_01 is the average precipitation in the month before the survey start date; PRECIP_60 is the average precipitation in the 60th month before the survey start date);
the month of the survey start date (PRECIP_00);
the 11 individual months following the month of the survey start date, denoted by the number of months following the month of the survey start date (e.g., PRECIP_A01 is the average precipitation in the month following the month of the survey start date).
 

The full set of monthly precipitation data, from January 1981 through August 2018, is available on the IPUMS-DHS contextual variables downloads [URL omitted from DDI.] page. Users can merge the precipitation data, available in csv format, with their IPUMS-DHS data extract to create average or total precipitation variables (e.g., average January precipitation, total 2017 precipitation), for the time frame suited to their research question.

For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_60" name="C_PRECIP_60" files="C" intrvl="discrete">
  <labl>Precipitation 60 months before survey start date</labl>
  <imputation>Precipitation 60 months before survey start date</imputation>
  <security>Precipitation 60 months before survey start date</security>
  <embargo>Precipitation 60 months before survey start date</embargo>
  <respUnit>Precipitation 60 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_59" name="C_PRECIP_59" files="C" intrvl="discrete">
  <labl>Precipitation 59 months before survey start date</labl>
  <imputation>Precipitation 59 months before survey start date</imputation>
  <security>Precipitation 59 months before survey start date</security>
  <embargo>Precipitation 59 months before survey start date</embargo>
  <respUnit>Precipitation 59 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_58" name="C_PRECIP_58" files="C" intrvl="discrete">
  <labl>Precipitation 58 months before survey start date</labl>
  <imputation>Precipitation 58 months before survey start date</imputation>
  <security>Precipitation 58 months before survey start date</security>
  <embargo>Precipitation 58 months before survey start date</embargo>
  <respUnit>Precipitation 58 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_57" name="C_PRECIP_57" files="C" intrvl="discrete">
  <labl>Precipitation 57 months before survey start date</labl>
  <imputation>Precipitation 57 months before survey start date</imputation>
  <security>Precipitation 57 months before survey start date</security>
  <embargo>Precipitation 57 months before survey start date</embargo>
  <respUnit>Precipitation 57 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_56" name="C_PRECIP_56" files="C" intrvl="discrete">
  <labl>Precipitation 56 months before survey start date</labl>
  <imputation>Precipitation 56 months before survey start date</imputation>
  <security>Precipitation 56 months before survey start date</security>
  <embargo>Precipitation 56 months before survey start date</embargo>
  <respUnit>Precipitation 56 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_55" name="C_PRECIP_55" files="C" intrvl="discrete">
  <labl>Precipitation 55 months before survey start date</labl>
  <imputation>Precipitation 55 months before survey start date</imputation>
  <security>Precipitation 55 months before survey start date</security>
  <embargo>Precipitation 55 months before survey start date</embargo>
  <respUnit>Precipitation 55 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_54" name="C_PRECIP_54" files="C" intrvl="discrete">
  <labl>Precipitation 54 months before survey start date</labl>
  <imputation>Precipitation 54 months before survey start date</imputation>
  <security>Precipitation 54 months before survey start date</security>
  <embargo>Precipitation 54 months before survey start date</embargo>
  <respUnit>Precipitation 54 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_53" name="C_PRECIP_53" files="C" intrvl="discrete">
  <labl>Precipitation 53 months before survey start date</labl>
  <imputation>Precipitation 53 months before survey start date</imputation>
  <security>Precipitation 53 months before survey start date</security>
  <embargo>Precipitation 53 months before survey start date</embargo>
  <respUnit>Precipitation 53 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_52" name="C_PRECIP_52" files="C" intrvl="discrete">
  <labl>Precipitation 52 months before survey start date</labl>
  <imputation>Precipitation 52 months before survey start date</imputation>
  <security>Precipitation 52 months before survey start date</security>
  <embargo>Precipitation 52 months before survey start date</embargo>
  <respUnit>Precipitation 52 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_51" name="C_PRECIP_51" files="C" intrvl="discrete">
  <labl>Precipitation 51 months before survey start date</labl>
  <imputation>Precipitation 51 months before survey start date</imputation>
  <security>Precipitation 51 months before survey start date</security>
  <embargo>Precipitation 51 months before survey start date</embargo>
  <respUnit>Precipitation 51 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_50" name="C_PRECIP_50" files="C" intrvl="discrete">
  <labl>Precipitation 50 months before survey start date</labl>
  <imputation>Precipitation 50 months before survey start date</imputation>
  <security>Precipitation 50 months before survey start date</security>
  <embargo>Precipitation 50 months before survey start date</embargo>
  <respUnit>Precipitation 50 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_49" name="C_PRECIP_49" files="C" intrvl="discrete">
  <labl>Precipitation 49 months before survey start date</labl>
  <imputation>Precipitation 49 months before survey start date</imputation>
  <security>Precipitation 49 months before survey start date</security>
  <embargo>Precipitation 49 months before survey start date</embargo>
  <respUnit>Precipitation 49 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_48" name="C_PRECIP_48" files="C" intrvl="discrete">
  <labl>Precipitation 48 months before survey start date</labl>
  <imputation>Precipitation 48 months before survey start date</imputation>
  <security>Precipitation 48 months before survey start date</security>
  <embargo>Precipitation 48 months before survey start date</embargo>
  <respUnit>Precipitation 48 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_47" name="C_PRECIP_47" files="C" intrvl="discrete">
  <labl>Precipitation 47 months before survey start date</labl>
  <imputation>Precipitation 47 months before survey start date</imputation>
  <security>Precipitation 47 months before survey start date</security>
  <embargo>Precipitation 47 months before survey start date</embargo>
  <respUnit>Precipitation 47 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_46" name="C_PRECIP_46" files="C" intrvl="discrete">
  <labl>Precipitation 46 months before survey start date</labl>
  <imputation>Precipitation 46 months before survey start date</imputation>
  <security>Precipitation 46 months before survey start date</security>
  <embargo>Precipitation 46 months before survey start date</embargo>
  <respUnit>Precipitation 46 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_45" name="C_PRECIP_45" files="C" intrvl="discrete">
  <labl>Precipitation 45 months before survey start date</labl>
  <imputation>Precipitation 45 months before survey start date</imputation>
  <security>Precipitation 45 months before survey start date</security>
  <embargo>Precipitation 45 months before survey start date</embargo>
  <respUnit>Precipitation 45 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_44" name="C_PRECIP_44" files="C" intrvl="discrete">
  <labl>Precipitation 44 months before survey start date</labl>
  <imputation>Precipitation 44 months before survey start date</imputation>
  <security>Precipitation 44 months before survey start date</security>
  <embargo>Precipitation 44 months before survey start date</embargo>
  <respUnit>Precipitation 44 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_43" name="C_PRECIP_43" files="C" intrvl="discrete">
  <labl>Precipitation 43 months before survey start date</labl>
  <imputation>Precipitation 43 months before survey start date</imputation>
  <security>Precipitation 43 months before survey start date</security>
  <embargo>Precipitation 43 months before survey start date</embargo>
  <respUnit>Precipitation 43 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_42" name="C_PRECIP_42" files="C" intrvl="discrete">
  <labl>Precipitation 42 months before survey start date</labl>
  <imputation>Precipitation 42 months before survey start date</imputation>
  <security>Precipitation 42 months before survey start date</security>
  <embargo>Precipitation 42 months before survey start date</embargo>
  <respUnit>Precipitation 42 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_41" name="C_PRECIP_41" files="C" intrvl="discrete">
  <labl>Precipitation 41 months before survey start date</labl>
  <imputation>Precipitation 41 months before survey start date</imputation>
  <security>Precipitation 41 months before survey start date</security>
  <embargo>Precipitation 41 months before survey start date</embargo>
  <respUnit>Precipitation 41 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_40" name="C_PRECIP_40" files="C" intrvl="discrete">
  <labl>Precipitation 40 months before survey start date</labl>
  <imputation>Precipitation 40 months before survey start date</imputation>
  <security>Precipitation 40 months before survey start date</security>
  <embargo>Precipitation 40 months before survey start date</embargo>
  <respUnit>Precipitation 40 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_39" name="C_PRECIP_39" files="C" intrvl="discrete">
  <labl>Precipitation 39 months before survey start date</labl>
  <imputation>Precipitation 39 months before survey start date</imputation>
  <security>Precipitation 39 months before survey start date</security>
  <embargo>Precipitation 39 months before survey start date</embargo>
  <respUnit>Precipitation 39 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_38" name="C_PRECIP_38" files="C" intrvl="discrete">
  <labl>Precipitation 38 months before survey start date</labl>
  <imputation>Precipitation 38 months before survey start date</imputation>
  <security>Precipitation 38 months before survey start date</security>
  <embargo>Precipitation 38 months before survey start date</embargo>
  <respUnit>Precipitation 38 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_37" name="C_PRECIP_37" files="C" intrvl="discrete">
  <labl>Precipitation 37 months before survey start date</labl>
  <imputation>Precipitation 37 months before survey start date</imputation>
  <security>Precipitation 37 months before survey start date</security>
  <embargo>Precipitation 37 months before survey start date</embargo>
  <respUnit>Precipitation 37 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_36" name="C_PRECIP_36" files="C" intrvl="discrete">
  <labl>Precipitation 36 months before survey start date</labl>
  <imputation>Precipitation 36 months before survey start date</imputation>
  <security>Precipitation 36 months before survey start date</security>
  <embargo>Precipitation 36 months before survey start date</embargo>
  <respUnit>Precipitation 36 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_35" name="C_PRECIP_35" files="C" intrvl="discrete">
  <labl>Precipitation 35 months before survey start date</labl>
  <imputation>Precipitation 35 months before survey start date</imputation>
  <security>Precipitation 35 months before survey start date</security>
  <embargo>Precipitation 35 months before survey start date</embargo>
  <respUnit>Precipitation 35 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_34" name="C_PRECIP_34" files="C" intrvl="discrete">
  <labl>Precipitation 34 months before survey start date</labl>
  <imputation>Precipitation 34 months before survey start date</imputation>
  <security>Precipitation 34 months before survey start date</security>
  <embargo>Precipitation 34 months before survey start date</embargo>
  <respUnit>Precipitation 34 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_33" name="C_PRECIP_33" files="C" intrvl="discrete">
  <labl>Precipitation 33 months before survey start date</labl>
  <imputation>Precipitation 33 months before survey start date</imputation>
  <security>Precipitation 33 months before survey start date</security>
  <embargo>Precipitation 33 months before survey start date</embargo>
  <respUnit>Precipitation 33 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_32" name="C_PRECIP_32" files="C" intrvl="discrete">
  <labl>Precipitation 32 months before survey start date</labl>
  <imputation>Precipitation 32 months before survey start date</imputation>
  <security>Precipitation 32 months before survey start date</security>
  <embargo>Precipitation 32 months before survey start date</embargo>
  <respUnit>Precipitation 32 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_31" name="C_PRECIP_31" files="C" intrvl="discrete">
  <labl>Precipitation 31 months before survey start date</labl>
  <imputation>Precipitation 31 months before survey start date</imputation>
  <security>Precipitation 31 months before survey start date</security>
  <embargo>Precipitation 31 months before survey start date</embargo>
  <respUnit>Precipitation 31 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_30" name="C_PRECIP_30" files="C" intrvl="discrete">
  <labl>Precipitation 30 months before survey start date</labl>
  <imputation>Precipitation 30 months before survey start date</imputation>
  <security>Precipitation 30 months before survey start date</security>
  <embargo>Precipitation 30 months before survey start date</embargo>
  <respUnit>Precipitation 30 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_29" name="C_PRECIP_29" files="C" intrvl="discrete">
  <labl>Precipitation 29 months before survey start date</labl>
  <imputation>Precipitation 29 months before survey start date</imputation>
  <security>Precipitation 29 months before survey start date</security>
  <embargo>Precipitation 29 months before survey start date</embargo>
  <respUnit>Precipitation 29 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_28" name="C_PRECIP_28" files="C" intrvl="discrete">
  <labl>Precipitation 28 months before survey start date</labl>
  <imputation>Precipitation 28 months before survey start date</imputation>
  <security>Precipitation 28 months before survey start date</security>
  <embargo>Precipitation 28 months before survey start date</embargo>
  <respUnit>Precipitation 28 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_27" name="C_PRECIP_27" files="C" intrvl="discrete">
  <labl>Precipitation 27 months before survey start date</labl>
  <imputation>Precipitation 27 months before survey start date</imputation>
  <security>Precipitation 27 months before survey start date</security>
  <embargo>Precipitation 27 months before survey start date</embargo>
  <respUnit>Precipitation 27 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_26" name="C_PRECIP_26" files="C" intrvl="discrete">
  <labl>Precipitation 26 months before survey start date</labl>
  <imputation>Precipitation 26 months before survey start date</imputation>
  <security>Precipitation 26 months before survey start date</security>
  <embargo>Precipitation 26 months before survey start date</embargo>
  <respUnit>Precipitation 26 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_25" name="C_PRECIP_25" files="C" intrvl="discrete">
  <labl>Precipitation 25 months before survey start date</labl>
  <imputation>Precipitation 25 months before survey start date</imputation>
  <security>Precipitation 25 months before survey start date</security>
  <embargo>Precipitation 25 months before survey start date</embargo>
  <respUnit>Precipitation 25 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_24" name="C_PRECIP_24" files="C" intrvl="discrete">
  <labl>Precipitation 24 months before survey start date</labl>
  <imputation>Precipitation 24 months before survey start date</imputation>
  <security>Precipitation 24 months before survey start date</security>
  <embargo>Precipitation 24 months before survey start date</embargo>
  <respUnit>Precipitation 24 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_23" name="C_PRECIP_23" files="C" intrvl="discrete">
  <labl>Precipitation 23 months before survey start date</labl>
  <imputation>Precipitation 23 months before survey start date</imputation>
  <security>Precipitation 23 months before survey start date</security>
  <embargo>Precipitation 23 months before survey start date</embargo>
  <respUnit>Precipitation 23 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_22" name="C_PRECIP_22" files="C" intrvl="discrete">
  <labl>Precipitation 22 months before survey start date</labl>
  <imputation>Precipitation 22 months before survey start date</imputation>
  <security>Precipitation 22 months before survey start date</security>
  <embargo>Precipitation 22 months before survey start date</embargo>
  <respUnit>Precipitation 22 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_21" name="C_PRECIP_21" files="C" intrvl="discrete">
  <labl>Precipitation 21 months before survey start date</labl>
  <imputation>Precipitation 21 months before survey start date</imputation>
  <security>Precipitation 21 months before survey start date</security>
  <embargo>Precipitation 21 months before survey start date</embargo>
  <respUnit>Precipitation 21 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_20" name="C_PRECIP_20" files="C" intrvl="discrete">
  <labl>Precipitation 20 months before survey start date</labl>
  <imputation>Precipitation 20 months before survey start date</imputation>
  <security>Precipitation 20 months before survey start date</security>
  <embargo>Precipitation 20 months before survey start date</embargo>
  <respUnit>Precipitation 20 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_19" name="C_PRECIP_19" files="C" intrvl="discrete">
  <labl>Precipitation 19 months before survey start date</labl>
  <imputation>Precipitation 19 months before survey start date</imputation>
  <security>Precipitation 19 months before survey start date</security>
  <embargo>Precipitation 19 months before survey start date</embargo>
  <respUnit>Precipitation 19 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_18" name="C_PRECIP_18" files="C" intrvl="discrete">
  <labl>Precipitation 18 months before survey start date</labl>
  <imputation>Precipitation 18 months before survey start date</imputation>
  <security>Precipitation 18 months before survey start date</security>
  <embargo>Precipitation 18 months before survey start date</embargo>
  <respUnit>Precipitation 18 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_17" name="C_PRECIP_17" files="C" intrvl="discrete">
  <labl>Precipitation 17 months before survey start date</labl>
  <imputation>Precipitation 17 months before survey start date</imputation>
  <security>Precipitation 17 months before survey start date</security>
  <embargo>Precipitation 17 months before survey start date</embargo>
  <respUnit>Precipitation 17 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_16" name="C_PRECIP_16" files="C" intrvl="discrete">
  <labl>Precipitation 16 months before survey start date</labl>
  <imputation>Precipitation 16 months before survey start date</imputation>
  <security>Precipitation 16 months before survey start date</security>
  <embargo>Precipitation 16 months before survey start date</embargo>
  <respUnit>Precipitation 16 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_15" name="C_PRECIP_15" files="C" intrvl="discrete">
  <labl>Precipitation 15 months before survey start date</labl>
  <imputation>Precipitation 15 months before survey start date</imputation>
  <security>Precipitation 15 months before survey start date</security>
  <embargo>Precipitation 15 months before survey start date</embargo>
  <respUnit>Precipitation 15 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_14" name="C_PRECIP_14" files="C" intrvl="discrete">
  <labl>Precipitation 14 months before survey start date</labl>
  <imputation>Precipitation 14 months before survey start date</imputation>
  <security>Precipitation 14 months before survey start date</security>
  <embargo>Precipitation 14 months before survey start date</embargo>
  <respUnit>Precipitation 14 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_13" name="C_PRECIP_13" files="C" intrvl="discrete">
  <labl>Precipitation 13 months before survey start date</labl>
  <imputation>Precipitation 13 months before survey start date</imputation>
  <security>Precipitation 13 months before survey start date</security>
  <embargo>Precipitation 13 months before survey start date</embargo>
  <respUnit>Precipitation 13 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_12" name="C_PRECIP_12" files="C" intrvl="discrete">
  <labl>Precipitation 12 months before survey start date</labl>
  <imputation>Precipitation 12 months before survey start date</imputation>
  <security>Precipitation 12 months before survey start date</security>
  <embargo>Precipitation 12 months before survey start date</embargo>
  <respUnit>Precipitation 12 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_11" name="C_PRECIP_11" files="C" intrvl="discrete">
  <labl>Precipitation 11 months before survey start date</labl>
  <imputation>Precipitation 11 months before survey start date</imputation>
  <security>Precipitation 11 months before survey start date</security>
  <embargo>Precipitation 11 months before survey start date</embargo>
  <respUnit>Precipitation 11 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_10" name="C_PRECIP_10" files="C" intrvl="discrete">
  <labl>Precipitation 10 months before survey start date</labl>
  <imputation>Precipitation 10 months before survey start date</imputation>
  <security>Precipitation 10 months before survey start date</security>
  <embargo>Precipitation 10 months before survey start date</embargo>
  <respUnit>Precipitation 10 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_09" name="C_PRECIP_09" files="C" intrvl="discrete">
  <labl>Precipitation 9 months before survey start date</labl>
  <imputation>Precipitation 9 months before survey start date</imputation>
  <security>Precipitation 9 months before survey start date</security>
  <embargo>Precipitation 9 months before survey start date</embargo>
  <respUnit>Precipitation 9 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_08" name="C_PRECIP_08" files="C" intrvl="discrete">
  <labl>Precipitation 8 months before survey start date</labl>
  <imputation>Precipitation 8 months before survey start date</imputation>
  <security>Precipitation 8 months before survey start date</security>
  <embargo>Precipitation 8 months before survey start date</embargo>
  <respUnit>Precipitation 8 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_07" name="C_PRECIP_07" files="C" intrvl="discrete">
  <labl>Precipitation 7 months before survey start date</labl>
  <imputation>Precipitation 7 months before survey start date</imputation>
  <security>Precipitation 7 months before survey start date</security>
  <embargo>Precipitation 7 months before survey start date</embargo>
  <respUnit>Precipitation 7 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_06" name="C_PRECIP_06" files="C" intrvl="discrete">
  <labl>Precipitation 6 months before survey start date</labl>
  <imputation>Precipitation 6 months before survey start date</imputation>
  <security>Precipitation 6 months before survey start date</security>
  <embargo>Precipitation 6 months before survey start date</embargo>
  <respUnit>Precipitation 6 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_05" name="C_PRECIP_05" files="C" intrvl="discrete">
  <labl>Precipitation 5 months before survey start date</labl>
  <imputation>Precipitation 5 months before survey start date</imputation>
  <security>Precipitation 5 months before survey start date</security>
  <embargo>Precipitation 5 months before survey start date</embargo>
  <respUnit>Precipitation 5 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_04" name="C_PRECIP_04" files="C" intrvl="discrete">
  <labl>Precipitation 4 months before survey start date</labl>
  <imputation>Precipitation 4 months before survey start date</imputation>
  <security>Precipitation 4 months before survey start date</security>
  <embargo>Precipitation 4 months before survey start date</embargo>
  <respUnit>Precipitation 4 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_03" name="C_PRECIP_03" files="C" intrvl="discrete">
  <labl>Precipitation 3 months before survey start date</labl>
  <imputation>Precipitation 3 months before survey start date</imputation>
  <security>Precipitation 3 months before survey start date</security>
  <embargo>Precipitation 3 months before survey start date</embargo>
  <respUnit>Precipitation 3 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_02" name="C_PRECIP_02" files="C" intrvl="discrete">
  <labl>Precipitation 2 months before survey start date</labl>
  <imputation>Precipitation 2 months before survey start date</imputation>
  <security>Precipitation 2 months before survey start date</security>
  <embargo>Precipitation 2 months before survey start date</embargo>
  <respUnit>Precipitation 2 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_01" name="C_PRECIP_01" files="C" intrvl="discrete">
  <labl>Precipitation 1 month before survey start date</labl>
  <imputation>Precipitation 1 month before survey start date</imputation>
  <security>Precipitation 1 month before survey start date</security>
  <embargo>Precipitation 1 month before survey start date</embargo>
  <respUnit>Precipitation 1 month before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_00" name="C_PRECIP_00" files="C" intrvl="discrete">
  <labl>Precipitation month of survey start date</labl>
  <imputation>Precipitation month of survey start date</imputation>
  <security>Precipitation month of survey start date</security>
  <embargo>Precipitation month of survey start date</embargo>
  <respUnit>Precipitation month of survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_A01" name="C_PRECIP_A01" files="C" intrvl="discrete">
  <labl>Precipitation 1 month after survey start date</labl>
  <imputation>Precipitation 1 month after survey start date</imputation>
  <security>Precipitation 1 month after survey start date</security>
  <embargo>Precipitation 1 month after survey start date</embargo>
  <respUnit>Precipitation 1 month after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_A02" name="C_PRECIP_A02" files="C" intrvl="discrete">
  <labl>Precipitation 2 months after survey start date</labl>
  <imputation>Precipitation 2 months after survey start date</imputation>
  <security>Precipitation 2 months after survey start date</security>
  <embargo>Precipitation 2 months after survey start date</embargo>
  <respUnit>Precipitation 2 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_A03" name="C_PRECIP_A03" files="C" intrvl="discrete">
  <labl>Precipitation 3 months after survey start date</labl>
  <imputation>Precipitation 3 months after survey start date</imputation>
  <security>Precipitation 3 months after survey start date</security>
  <embargo>Precipitation 3 months after survey start date</embargo>
  <respUnit>Precipitation 3 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_A04" name="C_PRECIP_A04" files="C" intrvl="discrete">
  <labl>Precipitation 4 months after survey start date</labl>
  <imputation>Precipitation 4 months after survey start date</imputation>
  <security>Precipitation 4 months after survey start date</security>
  <embargo>Precipitation 4 months after survey start date</embargo>
  <respUnit>Precipitation 4 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_A05" name="C_PRECIP_A05" files="C" intrvl="discrete">
  <labl>Precipitation 5 months after survey start date</labl>
  <imputation>Precipitation 5 months after survey start date</imputation>
  <security>Precipitation 5 months after survey start date</security>
  <embargo>Precipitation 5 months after survey start date</embargo>
  <respUnit>Precipitation 5 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_A06" name="C_PRECIP_A06" files="C" intrvl="discrete">
  <labl>Precipitation 6 months after survey start date</labl>
  <imputation>Precipitation 6 months after survey start date</imputation>
  <security>Precipitation 6 months after survey start date</security>
  <embargo>Precipitation 6 months after survey start date</embargo>
  <respUnit>Precipitation 6 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_A07" name="C_PRECIP_A07" files="C" intrvl="discrete">
  <labl>Precipitation 7 months after survey start date</labl>
  <imputation>Precipitation 7 months after survey start date</imputation>
  <security>Precipitation 7 months after survey start date</security>
  <embargo>Precipitation 7 months after survey start date</embargo>
  <respUnit>Precipitation 7 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_A08" name="C_PRECIP_A08" files="C" intrvl="discrete">
  <labl>Precipitation 8 months after survey start date</labl>
  <imputation>Precipitation 8 months after survey start date</imputation>
  <security>Precipitation 8 months after survey start date</security>
  <embargo>Precipitation 8 months after survey start date</embargo>
  <respUnit>Precipitation 8 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_A09" name="C_PRECIP_A09" files="C" intrvl="discrete">
  <labl>Precipitation 9 months after survey start date</labl>
  <imputation>Precipitation 9 months after survey start date</imputation>
  <security>Precipitation 9 months after survey start date</security>
  <embargo>Precipitation 9 months after survey start date</embargo>
  <respUnit>Precipitation 9 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_A10" name="C_PRECIP_A10" files="C" intrvl="discrete">
  <labl>Precipitation 10 months after survey start date</labl>
  <imputation>Precipitation 10 months after survey start date</imputation>
  <security>Precipitation 10 months after survey start date</security>
  <embargo>Precipitation 10 months after survey start date</embargo>
  <respUnit>Precipitation 10 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_PRECIP_A11" name="C_PRECIP_A11" files="C" intrvl="discrete">
  <labl>Precipitation 11 months after survey start date</labl>
  <imputation>Precipitation 11 months after survey start date</imputation>
  <security>Precipitation 11 months after survey start date</security>
  <embargo>Precipitation 11 months after survey start date</embargo>
  <respUnit>Precipitation 11 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN" name="C_TEMPMIN" files="C" intrvl="discrete">
  <labl>Average minimum monthly temperature</labl>
  <imputation>Average minimum monthly temperature</imputation>
  <security>Average minimum monthly temperature</security>
  <embargo>Average minimum monthly temperature</embargo>
  <respUnit>Average minimum monthly temperature</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>TEMPMAX available</labl>
  </catgry>
  <txt>TEMPMIN consists of a set of 72 separate variables reporting minimum monthly temperatures. These variables report the average minimum temperature in kelvin scale, within a 10-kilometer circular buffer around each DHS cluster location, for the 60 individual months prior to the survey start date, the month of the survey start date, and the 11 individual months following the survey start date. Note that "average" minimum temperature here refers to averaging the minimum temperature values for the various subareas included in the buffer zone.
 
By adding TEMPMIN to your data cart, you are in effect adding 72 separate variables for:

the 60 individual months prior to the survey start date, denoted by the number of months prior to the survey start date (e.g., TEMPMIN_01 is the average minimum temperature in the month before the survey start date; TEMPMIN _60 is the average minimum temperature in the 60th month before the survey start date)
the month of the survey start date (TEMPMIN _00)
the 11 individual months following the month of the survey start date, denoted by the number of months following the month of the survey start date (e.g., TEMPMIN_A01 is the average minimum temperature in the month following the month of the survey start date)
 

The full set of monthly temperature data, from January 1980 through December 2016, is available on the IPUMS-DHS contextual variables downloads [URL omitted from DDI.] page. Users can merge the temperature data, available in csv format, with their IPUMS-DHS data extract to create average or total precipitation variables (e.g., average minimum January temperature), for the time frame suited to their research question.

For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_60" name="C_TEMPMIN_60" files="C" intrvl="discrete">
  <labl>Average minimum temperature 60 months before survey start date</labl>
  <imputation>Average minimum temperature 60 months before survey start date</imputation>
  <security>Average minimum temperature 60 months before survey start date</security>
  <embargo>Average minimum temperature 60 months before survey start date</embargo>
  <respUnit>Average minimum temperature 60 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_59" name="C_TEMPMIN_59" files="C" intrvl="discrete">
  <labl>Average minimum temperature 59 months before survey start date</labl>
  <imputation>Average minimum temperature 59 months before survey start date</imputation>
  <security>Average minimum temperature 59 months before survey start date</security>
  <embargo>Average minimum temperature 59 months before survey start date</embargo>
  <respUnit>Average minimum temperature 59 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_58" name="C_TEMPMIN_58" files="C" intrvl="discrete">
  <labl>Average minimum temperature 58 months before survey start date</labl>
  <imputation>Average minimum temperature 58 months before survey start date</imputation>
  <security>Average minimum temperature 58 months before survey start date</security>
  <embargo>Average minimum temperature 58 months before survey start date</embargo>
  <respUnit>Average minimum temperature 58 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_57" name="C_TEMPMIN_57" files="C" intrvl="discrete">
  <labl>Average minimum temperature 57 months before survey start date</labl>
  <imputation>Average minimum temperature 57 months before survey start date</imputation>
  <security>Average minimum temperature 57 months before survey start date</security>
  <embargo>Average minimum temperature 57 months before survey start date</embargo>
  <respUnit>Average minimum temperature 57 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_56" name="C_TEMPMIN_56" files="C" intrvl="discrete">
  <labl>Average minimum temperature 56 months before survey start date</labl>
  <imputation>Average minimum temperature 56 months before survey start date</imputation>
  <security>Average minimum temperature 56 months before survey start date</security>
  <embargo>Average minimum temperature 56 months before survey start date</embargo>
  <respUnit>Average minimum temperature 56 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_55" name="C_TEMPMIN_55" files="C" intrvl="discrete">
  <labl>Average minimum temperature 55 months before survey start date</labl>
  <imputation>Average minimum temperature 55 months before survey start date</imputation>
  <security>Average minimum temperature 55 months before survey start date</security>
  <embargo>Average minimum temperature 55 months before survey start date</embargo>
  <respUnit>Average minimum temperature 55 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_54" name="C_TEMPMIN_54" files="C" intrvl="discrete">
  <labl>Average minimum temperature 54 months before survey start date</labl>
  <imputation>Average minimum temperature 54 months before survey start date</imputation>
  <security>Average minimum temperature 54 months before survey start date</security>
  <embargo>Average minimum temperature 54 months before survey start date</embargo>
  <respUnit>Average minimum temperature 54 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_53" name="C_TEMPMIN_53" files="C" intrvl="discrete">
  <labl>Average minimum temperature 53 months before survey start date</labl>
  <imputation>Average minimum temperature 53 months before survey start date</imputation>
  <security>Average minimum temperature 53 months before survey start date</security>
  <embargo>Average minimum temperature 53 months before survey start date</embargo>
  <respUnit>Average minimum temperature 53 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_52" name="C_TEMPMIN_52" files="C" intrvl="discrete">
  <labl>Average minimum temperature 52 months before survey start date</labl>
  <imputation>Average minimum temperature 52 months before survey start date</imputation>
  <security>Average minimum temperature 52 months before survey start date</security>
  <embargo>Average minimum temperature 52 months before survey start date</embargo>
  <respUnit>Average minimum temperature 52 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_51" name="C_TEMPMIN_51" files="C" intrvl="discrete">
  <labl>Average minimum temperature 51 months before survey start date</labl>
  <imputation>Average minimum temperature 51 months before survey start date</imputation>
  <security>Average minimum temperature 51 months before survey start date</security>
  <embargo>Average minimum temperature 51 months before survey start date</embargo>
  <respUnit>Average minimum temperature 51 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_50" name="C_TEMPMIN_50" files="C" intrvl="discrete">
  <labl>Average minimum temperature 50 months before survey start date</labl>
  <imputation>Average minimum temperature 50 months before survey start date</imputation>
  <security>Average minimum temperature 50 months before survey start date</security>
  <embargo>Average minimum temperature 50 months before survey start date</embargo>
  <respUnit>Average minimum temperature 50 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_49" name="C_TEMPMIN_49" files="C" intrvl="discrete">
  <labl>Average minimum temperature 49 months before survey start date</labl>
  <imputation>Average minimum temperature 49 months before survey start date</imputation>
  <security>Average minimum temperature 49 months before survey start date</security>
  <embargo>Average minimum temperature 49 months before survey start date</embargo>
  <respUnit>Average minimum temperature 49 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_48" name="C_TEMPMIN_48" files="C" intrvl="discrete">
  <labl>Average minimum temperature 48 months before survey start date</labl>
  <imputation>Average minimum temperature 48 months before survey start date</imputation>
  <security>Average minimum temperature 48 months before survey start date</security>
  <embargo>Average minimum temperature 48 months before survey start date</embargo>
  <respUnit>Average minimum temperature 48 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_47" name="C_TEMPMIN_47" files="C" intrvl="discrete">
  <labl>Average minimum temperature 47 months before survey start date</labl>
  <imputation>Average minimum temperature 47 months before survey start date</imputation>
  <security>Average minimum temperature 47 months before survey start date</security>
  <embargo>Average minimum temperature 47 months before survey start date</embargo>
  <respUnit>Average minimum temperature 47 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_46" name="C_TEMPMIN_46" files="C" intrvl="discrete">
  <labl>Average minimum temperature 46 months before survey start date</labl>
  <imputation>Average minimum temperature 46 months before survey start date</imputation>
  <security>Average minimum temperature 46 months before survey start date</security>
  <embargo>Average minimum temperature 46 months before survey start date</embargo>
  <respUnit>Average minimum temperature 46 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_45" name="C_TEMPMIN_45" files="C" intrvl="discrete">
  <labl>Average minimum temperature 45 months before survey start date</labl>
  <imputation>Average minimum temperature 45 months before survey start date</imputation>
  <security>Average minimum temperature 45 months before survey start date</security>
  <embargo>Average minimum temperature 45 months before survey start date</embargo>
  <respUnit>Average minimum temperature 45 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_44" name="C_TEMPMIN_44" files="C" intrvl="discrete">
  <labl>Average minimum temperature 44 months before survey start date</labl>
  <imputation>Average minimum temperature 44 months before survey start date</imputation>
  <security>Average minimum temperature 44 months before survey start date</security>
  <embargo>Average minimum temperature 44 months before survey start date</embargo>
  <respUnit>Average minimum temperature 44 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_43" name="C_TEMPMIN_43" files="C" intrvl="discrete">
  <labl>Average minimum temperature 43 months before survey start date</labl>
  <imputation>Average minimum temperature 43 months before survey start date</imputation>
  <security>Average minimum temperature 43 months before survey start date</security>
  <embargo>Average minimum temperature 43 months before survey start date</embargo>
  <respUnit>Average minimum temperature 43 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_42" name="C_TEMPMIN_42" files="C" intrvl="discrete">
  <labl>Average minimum temperature 42 months before survey start date</labl>
  <imputation>Average minimum temperature 42 months before survey start date</imputation>
  <security>Average minimum temperature 42 months before survey start date</security>
  <embargo>Average minimum temperature 42 months before survey start date</embargo>
  <respUnit>Average minimum temperature 42 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_41" name="C_TEMPMIN_41" files="C" intrvl="discrete">
  <labl>Average minimum temperature 41 months before survey start date</labl>
  <imputation>Average minimum temperature 41 months before survey start date</imputation>
  <security>Average minimum temperature 41 months before survey start date</security>
  <embargo>Average minimum temperature 41 months before survey start date</embargo>
  <respUnit>Average minimum temperature 41 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_40" name="C_TEMPMIN_40" files="C" intrvl="discrete">
  <labl>Average minimum temperature 40 months before survey start date</labl>
  <imputation>Average minimum temperature 40 months before survey start date</imputation>
  <security>Average minimum temperature 40 months before survey start date</security>
  <embargo>Average minimum temperature 40 months before survey start date</embargo>
  <respUnit>Average minimum temperature 40 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_39" name="C_TEMPMIN_39" files="C" intrvl="discrete">
  <labl>Average minimum temperature 39 months before survey start date</labl>
  <imputation>Average minimum temperature 39 months before survey start date</imputation>
  <security>Average minimum temperature 39 months before survey start date</security>
  <embargo>Average minimum temperature 39 months before survey start date</embargo>
  <respUnit>Average minimum temperature 39 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_38" name="C_TEMPMIN_38" files="C" intrvl="discrete">
  <labl>Average minimum temperature 38 months before survey start date</labl>
  <imputation>Average minimum temperature 38 months before survey start date</imputation>
  <security>Average minimum temperature 38 months before survey start date</security>
  <embargo>Average minimum temperature 38 months before survey start date</embargo>
  <respUnit>Average minimum temperature 38 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_37" name="C_TEMPMIN_37" files="C" intrvl="discrete">
  <labl>Average minimum temperature 37 months before survey start date</labl>
  <imputation>Average minimum temperature 37 months before survey start date</imputation>
  <security>Average minimum temperature 37 months before survey start date</security>
  <embargo>Average minimum temperature 37 months before survey start date</embargo>
  <respUnit>Average minimum temperature 37 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_36" name="C_TEMPMIN_36" files="C" intrvl="discrete">
  <labl>Average minimum temperature 36 months before survey start date</labl>
  <imputation>Average minimum temperature 36 months before survey start date</imputation>
  <security>Average minimum temperature 36 months before survey start date</security>
  <embargo>Average minimum temperature 36 months before survey start date</embargo>
  <respUnit>Average minimum temperature 36 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_35" name="C_TEMPMIN_35" files="C" intrvl="discrete">
  <labl>Average minimum temperature 35 months before survey start date</labl>
  <imputation>Average minimum temperature 35 months before survey start date</imputation>
  <security>Average minimum temperature 35 months before survey start date</security>
  <embargo>Average minimum temperature 35 months before survey start date</embargo>
  <respUnit>Average minimum temperature 35 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_34" name="C_TEMPMIN_34" files="C" intrvl="discrete">
  <labl>Average minimum temperature 34 months before survey start date</labl>
  <imputation>Average minimum temperature 34 months before survey start date</imputation>
  <security>Average minimum temperature 34 months before survey start date</security>
  <embargo>Average minimum temperature 34 months before survey start date</embargo>
  <respUnit>Average minimum temperature 34 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_33" name="C_TEMPMIN_33" files="C" intrvl="discrete">
  <labl>Average minimum temperature 33 months before survey start date</labl>
  <imputation>Average minimum temperature 33 months before survey start date</imputation>
  <security>Average minimum temperature 33 months before survey start date</security>
  <embargo>Average minimum temperature 33 months before survey start date</embargo>
  <respUnit>Average minimum temperature 33 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_32" name="C_TEMPMIN_32" files="C" intrvl="discrete">
  <labl>Average minimum temperature 32 months before survey start date</labl>
  <imputation>Average minimum temperature 32 months before survey start date</imputation>
  <security>Average minimum temperature 32 months before survey start date</security>
  <embargo>Average minimum temperature 32 months before survey start date</embargo>
  <respUnit>Average minimum temperature 32 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_31" name="C_TEMPMIN_31" files="C" intrvl="discrete">
  <labl>Average minimum temperature 31 months before survey start date</labl>
  <imputation>Average minimum temperature 31 months before survey start date</imputation>
  <security>Average minimum temperature 31 months before survey start date</security>
  <embargo>Average minimum temperature 31 months before survey start date</embargo>
  <respUnit>Average minimum temperature 31 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_30" name="C_TEMPMIN_30" files="C" intrvl="discrete">
  <labl>Average minimum temperature 30 months before survey start date</labl>
  <imputation>Average minimum temperature 30 months before survey start date</imputation>
  <security>Average minimum temperature 30 months before survey start date</security>
  <embargo>Average minimum temperature 30 months before survey start date</embargo>
  <respUnit>Average minimum temperature 30 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_29" name="C_TEMPMIN_29" files="C" intrvl="discrete">
  <labl>Average minimum temperature 29 months before survey start date</labl>
  <imputation>Average minimum temperature 29 months before survey start date</imputation>
  <security>Average minimum temperature 29 months before survey start date</security>
  <embargo>Average minimum temperature 29 months before survey start date</embargo>
  <respUnit>Average minimum temperature 29 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_28" name="C_TEMPMIN_28" files="C" intrvl="discrete">
  <labl>Average minimum temperature 28 months before survey start date</labl>
  <imputation>Average minimum temperature 28 months before survey start date</imputation>
  <security>Average minimum temperature 28 months before survey start date</security>
  <embargo>Average minimum temperature 28 months before survey start date</embargo>
  <respUnit>Average minimum temperature 28 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_27" name="C_TEMPMIN_27" files="C" intrvl="discrete">
  <labl>Average minimum temperature 27 months before survey start date</labl>
  <imputation>Average minimum temperature 27 months before survey start date</imputation>
  <security>Average minimum temperature 27 months before survey start date</security>
  <embargo>Average minimum temperature 27 months before survey start date</embargo>
  <respUnit>Average minimum temperature 27 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_26" name="C_TEMPMIN_26" files="C" intrvl="discrete">
  <labl>Average minimum temperature 26 months before survey start date</labl>
  <imputation>Average minimum temperature 26 months before survey start date</imputation>
  <security>Average minimum temperature 26 months before survey start date</security>
  <embargo>Average minimum temperature 26 months before survey start date</embargo>
  <respUnit>Average minimum temperature 26 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_25" name="C_TEMPMIN_25" files="C" intrvl="discrete">
  <labl>Average minimum temperature 25 months before survey start date</labl>
  <imputation>Average minimum temperature 25 months before survey start date</imputation>
  <security>Average minimum temperature 25 months before survey start date</security>
  <embargo>Average minimum temperature 25 months before survey start date</embargo>
  <respUnit>Average minimum temperature 25 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_24" name="C_TEMPMIN_24" files="C" intrvl="discrete">
  <labl>Average minimum temperature 24 months before survey start date</labl>
  <imputation>Average minimum temperature 24 months before survey start date</imputation>
  <security>Average minimum temperature 24 months before survey start date</security>
  <embargo>Average minimum temperature 24 months before survey start date</embargo>
  <respUnit>Average minimum temperature 24 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_23" name="C_TEMPMIN_23" files="C" intrvl="discrete">
  <labl>Average minimum temperature 23 months before survey start date</labl>
  <imputation>Average minimum temperature 23 months before survey start date</imputation>
  <security>Average minimum temperature 23 months before survey start date</security>
  <embargo>Average minimum temperature 23 months before survey start date</embargo>
  <respUnit>Average minimum temperature 23 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_22" name="C_TEMPMIN_22" files="C" intrvl="discrete">
  <labl>Average minimum temperature 22 months before survey start date</labl>
  <imputation>Average minimum temperature 22 months before survey start date</imputation>
  <security>Average minimum temperature 22 months before survey start date</security>
  <embargo>Average minimum temperature 22 months before survey start date</embargo>
  <respUnit>Average minimum temperature 22 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_21" name="C_TEMPMIN_21" files="C" intrvl="discrete">
  <labl>Average minimum temperature 21 months before survey start date</labl>
  <imputation>Average minimum temperature 21 months before survey start date</imputation>
  <security>Average minimum temperature 21 months before survey start date</security>
  <embargo>Average minimum temperature 21 months before survey start date</embargo>
  <respUnit>Average minimum temperature 21 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_20" name="C_TEMPMIN_20" files="C" intrvl="discrete">
  <labl>Average minimum temperature 20 months before survey start date</labl>
  <imputation>Average minimum temperature 20 months before survey start date</imputation>
  <security>Average minimum temperature 20 months before survey start date</security>
  <embargo>Average minimum temperature 20 months before survey start date</embargo>
  <respUnit>Average minimum temperature 20 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_19" name="C_TEMPMIN_19" files="C" intrvl="discrete">
  <labl>Average minimum temperature 19 months before survey start date</labl>
  <imputation>Average minimum temperature 19 months before survey start date</imputation>
  <security>Average minimum temperature 19 months before survey start date</security>
  <embargo>Average minimum temperature 19 months before survey start date</embargo>
  <respUnit>Average minimum temperature 19 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_18" name="C_TEMPMIN_18" files="C" intrvl="discrete">
  <labl>Average minimum temperature 18 months before survey start date</labl>
  <imputation>Average minimum temperature 18 months before survey start date</imputation>
  <security>Average minimum temperature 18 months before survey start date</security>
  <embargo>Average minimum temperature 18 months before survey start date</embargo>
  <respUnit>Average minimum temperature 18 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_17" name="C_TEMPMIN_17" files="C" intrvl="discrete">
  <labl>Average minimum temperature 17 months before survey start date</labl>
  <imputation>Average minimum temperature 17 months before survey start date</imputation>
  <security>Average minimum temperature 17 months before survey start date</security>
  <embargo>Average minimum temperature 17 months before survey start date</embargo>
  <respUnit>Average minimum temperature 17 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_16" name="C_TEMPMIN_16" files="C" intrvl="discrete">
  <labl>Average minimum temperature 16 months before survey start date</labl>
  <imputation>Average minimum temperature 16 months before survey start date</imputation>
  <security>Average minimum temperature 16 months before survey start date</security>
  <embargo>Average minimum temperature 16 months before survey start date</embargo>
  <respUnit>Average minimum temperature 16 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_15" name="C_TEMPMIN_15" files="C" intrvl="discrete">
  <labl>Average minimum temperature 15 months before survey start date</labl>
  <imputation>Average minimum temperature 15 months before survey start date</imputation>
  <security>Average minimum temperature 15 months before survey start date</security>
  <embargo>Average minimum temperature 15 months before survey start date</embargo>
  <respUnit>Average minimum temperature 15 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_14" name="C_TEMPMIN_14" files="C" intrvl="discrete">
  <labl>Average minimum temperature 14 months before survey start date</labl>
  <imputation>Average minimum temperature 14 months before survey start date</imputation>
  <security>Average minimum temperature 14 months before survey start date</security>
  <embargo>Average minimum temperature 14 months before survey start date</embargo>
  <respUnit>Average minimum temperature 14 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_13" name="C_TEMPMIN_13" files="C" intrvl="discrete">
  <labl>Average minimum temperature 13 months before survey start date</labl>
  <imputation>Average minimum temperature 13 months before survey start date</imputation>
  <security>Average minimum temperature 13 months before survey start date</security>
  <embargo>Average minimum temperature 13 months before survey start date</embargo>
  <respUnit>Average minimum temperature 13 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_12" name="C_TEMPMIN_12" files="C" intrvl="discrete">
  <labl>Average minimum temperature 12 months before survey start date</labl>
  <imputation>Average minimum temperature 12 months before survey start date</imputation>
  <security>Average minimum temperature 12 months before survey start date</security>
  <embargo>Average minimum temperature 12 months before survey start date</embargo>
  <respUnit>Average minimum temperature 12 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_11" name="C_TEMPMIN_11" files="C" intrvl="discrete">
  <labl>Average minimum temperature 11 months before survey start date</labl>
  <imputation>Average minimum temperature 11 months before survey start date</imputation>
  <security>Average minimum temperature 11 months before survey start date</security>
  <embargo>Average minimum temperature 11 months before survey start date</embargo>
  <respUnit>Average minimum temperature 11 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_10" name="C_TEMPMIN_10" files="C" intrvl="discrete">
  <labl>Average minimum temperature 10 months before survey start date</labl>
  <imputation>Average minimum temperature 10 months before survey start date</imputation>
  <security>Average minimum temperature 10 months before survey start date</security>
  <embargo>Average minimum temperature 10 months before survey start date</embargo>
  <respUnit>Average minimum temperature 10 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_09" name="C_TEMPMIN_09" files="C" intrvl="discrete">
  <labl>Average minimum temperature 9 months before survey start date</labl>
  <imputation>Average minimum temperature 9 months before survey start date</imputation>
  <security>Average minimum temperature 9 months before survey start date</security>
  <embargo>Average minimum temperature 9 months before survey start date</embargo>
  <respUnit>Average minimum temperature 9 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_08" name="C_TEMPMIN_08" files="C" intrvl="discrete">
  <labl>Average minimum temperature 8 months before survey start date</labl>
  <imputation>Average minimum temperature 8 months before survey start date</imputation>
  <security>Average minimum temperature 8 months before survey start date</security>
  <embargo>Average minimum temperature 8 months before survey start date</embargo>
  <respUnit>Average minimum temperature 8 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_07" name="C_TEMPMIN_07" files="C" intrvl="discrete">
  <labl>Average minimum temperature 7 months before survey start date</labl>
  <imputation>Average minimum temperature 7 months before survey start date</imputation>
  <security>Average minimum temperature 7 months before survey start date</security>
  <embargo>Average minimum temperature 7 months before survey start date</embargo>
  <respUnit>Average minimum temperature 7 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_06" name="C_TEMPMIN_06" files="C" intrvl="discrete">
  <labl>Average minimum temperature 6 months before survey start date</labl>
  <imputation>Average minimum temperature 6 months before survey start date</imputation>
  <security>Average minimum temperature 6 months before survey start date</security>
  <embargo>Average minimum temperature 6 months before survey start date</embargo>
  <respUnit>Average minimum temperature 6 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_05" name="C_TEMPMIN_05" files="C" intrvl="discrete">
  <labl>Average minimum temperature 5 months before survey start date</labl>
  <imputation>Average minimum temperature 5 months before survey start date</imputation>
  <security>Average minimum temperature 5 months before survey start date</security>
  <embargo>Average minimum temperature 5 months before survey start date</embargo>
  <respUnit>Average minimum temperature 5 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_04" name="C_TEMPMIN_04" files="C" intrvl="discrete">
  <labl>Average minimum temperature 4 months before survey start date</labl>
  <imputation>Average minimum temperature 4 months before survey start date</imputation>
  <security>Average minimum temperature 4 months before survey start date</security>
  <embargo>Average minimum temperature 4 months before survey start date</embargo>
  <respUnit>Average minimum temperature 4 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_03" name="C_TEMPMIN_03" files="C" intrvl="discrete">
  <labl>Average minimum temperature 3 months before survey start date</labl>
  <imputation>Average minimum temperature 3 months before survey start date</imputation>
  <security>Average minimum temperature 3 months before survey start date</security>
  <embargo>Average minimum temperature 3 months before survey start date</embargo>
  <respUnit>Average minimum temperature 3 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_02" name="C_TEMPMIN_02" files="C" intrvl="discrete">
  <labl>Average minimum temperature 2 months before survey start date</labl>
  <imputation>Average minimum temperature 2 months before survey start date</imputation>
  <security>Average minimum temperature 2 months before survey start date</security>
  <embargo>Average minimum temperature 2 months before survey start date</embargo>
  <respUnit>Average minimum temperature 2 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_01" name="C_TEMPMIN_01" files="C" intrvl="discrete">
  <labl>Average minimum temperature 1 month before survey start date</labl>
  <imputation>Average minimum temperature 1 month before survey start date</imputation>
  <security>Average minimum temperature 1 month before survey start date</security>
  <embargo>Average minimum temperature 1 month before survey start date</embargo>
  <respUnit>Average minimum temperature 1 month before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_00" name="C_TEMPMIN_00" files="C" intrvl="discrete">
  <labl>Average minimum temperature month of survey start date</labl>
  <imputation>Average minimum temperature month of survey start date</imputation>
  <security>Average minimum temperature month of survey start date</security>
  <embargo>Average minimum temperature month of survey start date</embargo>
  <respUnit>Average minimum temperature month of survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_A01" name="C_TEMPMIN_A01" files="C" intrvl="discrete">
  <labl>Average minimum temperature 1 month after survey start date</labl>
  <imputation>Average minimum temperature 1 month after survey start date</imputation>
  <security>Average minimum temperature 1 month after survey start date</security>
  <embargo>Average minimum temperature 1 month after survey start date</embargo>
  <respUnit>Average minimum temperature 1 month after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_A02" name="C_TEMPMIN_A02" files="C" intrvl="discrete">
  <labl>Average minimum temperature 2 months after survey start date</labl>
  <imputation>Average minimum temperature 2 months after survey start date</imputation>
  <security>Average minimum temperature 2 months after survey start date</security>
  <embargo>Average minimum temperature 2 months after survey start date</embargo>
  <respUnit>Average minimum temperature 2 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_A03" name="C_TEMPMIN_A03" files="C" intrvl="discrete">
  <labl>Average minimum temperature 3 months after survey start date</labl>
  <imputation>Average minimum temperature 3 months after survey start date</imputation>
  <security>Average minimum temperature 3 months after survey start date</security>
  <embargo>Average minimum temperature 3 months after survey start date</embargo>
  <respUnit>Average minimum temperature 3 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_A04" name="C_TEMPMIN_A04" files="C" intrvl="discrete">
  <labl>Average minimum temperature 4 months after survey start date</labl>
  <imputation>Average minimum temperature 4 months after survey start date</imputation>
  <security>Average minimum temperature 4 months after survey start date</security>
  <embargo>Average minimum temperature 4 months after survey start date</embargo>
  <respUnit>Average minimum temperature 4 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_A05" name="C_TEMPMIN_A05" files="C" intrvl="discrete">
  <labl>Average minimum temperature 5 months after survey start date</labl>
  <imputation>Average minimum temperature 5 months after survey start date</imputation>
  <security>Average minimum temperature 5 months after survey start date</security>
  <embargo>Average minimum temperature 5 months after survey start date</embargo>
  <respUnit>Average minimum temperature 5 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_A06" name="C_TEMPMIN_A06" files="C" intrvl="discrete">
  <labl>Average minimum temperature 6 months after survey start date</labl>
  <imputation>Average minimum temperature 6 months after survey start date</imputation>
  <security>Average minimum temperature 6 months after survey start date</security>
  <embargo>Average minimum temperature 6 months after survey start date</embargo>
  <respUnit>Average minimum temperature 6 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_A07" name="C_TEMPMIN_A07" files="C" intrvl="discrete">
  <labl>Average minimum temperature 7 months after survey start date</labl>
  <imputation>Average minimum temperature 7 months after survey start date</imputation>
  <security>Average minimum temperature 7 months after survey start date</security>
  <embargo>Average minimum temperature 7 months after survey start date</embargo>
  <respUnit>Average minimum temperature 7 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_A08" name="C_TEMPMIN_A08" files="C" intrvl="discrete">
  <labl>Average minimum temperature 8 months after survey start date</labl>
  <imputation>Average minimum temperature 8 months after survey start date</imputation>
  <security>Average minimum temperature 8 months after survey start date</security>
  <embargo>Average minimum temperature 8 months after survey start date</embargo>
  <respUnit>Average minimum temperature 8 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_A09" name="C_TEMPMIN_A09" files="C" intrvl="discrete">
  <labl>Average minimum temperature 9 months after survey start date</labl>
  <imputation>Average minimum temperature 9 months after survey start date</imputation>
  <security>Average minimum temperature 9 months after survey start date</security>
  <embargo>Average minimum temperature 9 months after survey start date</embargo>
  <respUnit>Average minimum temperature 9 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_A10" name="C_TEMPMIN_A10" files="C" intrvl="discrete">
  <labl>Average minimum temperature 10 months after survey start date</labl>
  <imputation>Average minimum temperature 10 months after survey start date</imputation>
  <security>Average minimum temperature 10 months after survey start date</security>
  <embargo>Average minimum temperature 10 months after survey start date</embargo>
  <respUnit>Average minimum temperature 10 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMIN_A11" name="C_TEMPMIN_A11" files="C" intrvl="discrete">
  <labl>Average minimum temperature 11 months after survey start date</labl>
  <imputation>Average minimum temperature 11 months after survey start date</imputation>
  <security>Average minimum temperature 11 months after survey start date</security>
  <embargo>Average minimum temperature 11 months after survey start date</embargo>
  <respUnit>Average minimum temperature 11 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX" name="C_TEMPMAX" files="C" intrvl="discrete">
  <labl>Average maximum monthly temperature</labl>
  <imputation>Average maximum monthly temperature</imputation>
  <security>Average maximum monthly temperature</security>
  <embargo>Average maximum monthly temperature</embargo>
  <respUnit>Average maximum monthly temperature</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>TEMPMAX available</labl>
  </catgry>
  <txt>TEMPMAX consists of a set of 72 separate variables reporting maximum monthly temperatures. These variables report the average maximum temperature in kelvin scale, within a 10-kilometer circular buffer around each DHS cluster location, for the 60 individual months prior to the survey start date, the month of the survey start date, and the 11 individual months following the survey start date. Note that "average" maximum temperature here refers to averaging the maximum temperature values for the various subareas included in the buffer zone. 
 
By adding TEMPMAX to your data cart, you are in effect adding 72 separate variables for:

the 60 individual months prior to the survey start date, denoted by the number of months prior to the survey start date (e.g., TEMPMAX_01 is the average maximum temperature in the month before the survey start date; TEMPMAX _60 is the average maximum temperature in the 60th month before the survey start date)
the month of the survey start date (TEMPMAX _00)
the 11 individual months following the month of the survey start date, denoted by the number of months following the month of the survey start date (e.g., TEMPMAX_A01 is the average maximum temperature in the month following the month of the survey start date).
 

The full set of monthly temperature data, from January 1980 through December 2016, is available on the IPUMS-DHS contextual variables downloads [URL omitted from DDI.] page. Users can merge the temperature data, available in csv format, with their IPUMS-DHS data extract to create average or total precipitation variables (e.g., average maximum July temperature), for the time frame suited to their research question.

For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_60" name="C_TEMPMAX_60" files="C" intrvl="discrete">
  <labl>Average maximum temperature 60 months before survey start date</labl>
  <imputation>Average maximum temperature 60 months before survey start date</imputation>
  <security>Average maximum temperature 60 months before survey start date</security>
  <embargo>Average maximum temperature 60 months before survey start date</embargo>
  <respUnit>Average maximum temperature 60 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_59" name="C_TEMPMAX_59" files="C" intrvl="discrete">
  <labl>Average maximum temperature 59 months before survey start date</labl>
  <imputation>Average maximum temperature 59 months before survey start date</imputation>
  <security>Average maximum temperature 59 months before survey start date</security>
  <embargo>Average maximum temperature 59 months before survey start date</embargo>
  <respUnit>Average maximum temperature 59 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_58" name="C_TEMPMAX_58" files="C" intrvl="discrete">
  <labl>Average maximum temperature 58 months before survey start date</labl>
  <imputation>Average maximum temperature 58 months before survey start date</imputation>
  <security>Average maximum temperature 58 months before survey start date</security>
  <embargo>Average maximum temperature 58 months before survey start date</embargo>
  <respUnit>Average maximum temperature 58 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_57" name="C_TEMPMAX_57" files="C" intrvl="discrete">
  <labl>Average maximum temperature 57 months before survey start date</labl>
  <imputation>Average maximum temperature 57 months before survey start date</imputation>
  <security>Average maximum temperature 57 months before survey start date</security>
  <embargo>Average maximum temperature 57 months before survey start date</embargo>
  <respUnit>Average maximum temperature 57 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_56" name="C_TEMPMAX_56" files="C" intrvl="discrete">
  <labl>Average maximum temperature 56 months before survey start date</labl>
  <imputation>Average maximum temperature 56 months before survey start date</imputation>
  <security>Average maximum temperature 56 months before survey start date</security>
  <embargo>Average maximum temperature 56 months before survey start date</embargo>
  <respUnit>Average maximum temperature 56 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_55" name="C_TEMPMAX_55" files="C" intrvl="discrete">
  <labl>Average maximum temperature 55 months before survey start date</labl>
  <imputation>Average maximum temperature 55 months before survey start date</imputation>
  <security>Average maximum temperature 55 months before survey start date</security>
  <embargo>Average maximum temperature 55 months before survey start date</embargo>
  <respUnit>Average maximum temperature 55 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_54" name="C_TEMPMAX_54" files="C" intrvl="discrete">
  <labl>Average maximum temperature 54 months before survey start date</labl>
  <imputation>Average maximum temperature 54 months before survey start date</imputation>
  <security>Average maximum temperature 54 months before survey start date</security>
  <embargo>Average maximum temperature 54 months before survey start date</embargo>
  <respUnit>Average maximum temperature 54 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_53" name="C_TEMPMAX_53" files="C" intrvl="discrete">
  <labl>Average maximum temperature 53 months before survey start date</labl>
  <imputation>Average maximum temperature 53 months before survey start date</imputation>
  <security>Average maximum temperature 53 months before survey start date</security>
  <embargo>Average maximum temperature 53 months before survey start date</embargo>
  <respUnit>Average maximum temperature 53 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_52" name="C_TEMPMAX_52" files="C" intrvl="discrete">
  <labl>Average maximum temperature 52 months before survey start date</labl>
  <imputation>Average maximum temperature 52 months before survey start date</imputation>
  <security>Average maximum temperature 52 months before survey start date</security>
  <embargo>Average maximum temperature 52 months before survey start date</embargo>
  <respUnit>Average maximum temperature 52 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_51" name="C_TEMPMAX_51" files="C" intrvl="discrete">
  <labl>Average maximum temperature 51 months before survey start date</labl>
  <imputation>Average maximum temperature 51 months before survey start date</imputation>
  <security>Average maximum temperature 51 months before survey start date</security>
  <embargo>Average maximum temperature 51 months before survey start date</embargo>
  <respUnit>Average maximum temperature 51 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_50" name="C_TEMPMAX_50" files="C" intrvl="discrete">
  <labl>Average maximum temperature 50 months before survey start date</labl>
  <imputation>Average maximum temperature 50 months before survey start date</imputation>
  <security>Average maximum temperature 50 months before survey start date</security>
  <embargo>Average maximum temperature 50 months before survey start date</embargo>
  <respUnit>Average maximum temperature 50 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_49" name="C_TEMPMAX_49" files="C" intrvl="discrete">
  <labl>Average maximum temperature 49 months before survey start date</labl>
  <imputation>Average maximum temperature 49 months before survey start date</imputation>
  <security>Average maximum temperature 49 months before survey start date</security>
  <embargo>Average maximum temperature 49 months before survey start date</embargo>
  <respUnit>Average maximum temperature 49 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_48" name="C_TEMPMAX_48" files="C" intrvl="discrete">
  <labl>Average maximum temperature 48 months before survey start date</labl>
  <imputation>Average maximum temperature 48 months before survey start date</imputation>
  <security>Average maximum temperature 48 months before survey start date</security>
  <embargo>Average maximum temperature 48 months before survey start date</embargo>
  <respUnit>Average maximum temperature 48 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_47" name="C_TEMPMAX_47" files="C" intrvl="discrete">
  <labl>Average maximum temperature 47 months before survey start date</labl>
  <imputation>Average maximum temperature 47 months before survey start date</imputation>
  <security>Average maximum temperature 47 months before survey start date</security>
  <embargo>Average maximum temperature 47 months before survey start date</embargo>
  <respUnit>Average maximum temperature 47 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_46" name="C_TEMPMAX_46" files="C" intrvl="discrete">
  <labl>Average maximum temperature 46 months before survey start date</labl>
  <imputation>Average maximum temperature 46 months before survey start date</imputation>
  <security>Average maximum temperature 46 months before survey start date</security>
  <embargo>Average maximum temperature 46 months before survey start date</embargo>
  <respUnit>Average maximum temperature 46 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_45" name="C_TEMPMAX_45" files="C" intrvl="discrete">
  <labl>Average maximum temperature 45 months before survey start date</labl>
  <imputation>Average maximum temperature 45 months before survey start date</imputation>
  <security>Average maximum temperature 45 months before survey start date</security>
  <embargo>Average maximum temperature 45 months before survey start date</embargo>
  <respUnit>Average maximum temperature 45 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_44" name="C_TEMPMAX_44" files="C" intrvl="discrete">
  <labl>Average maximum temperature 44 months before survey start date</labl>
  <imputation>Average maximum temperature 44 months before survey start date</imputation>
  <security>Average maximum temperature 44 months before survey start date</security>
  <embargo>Average maximum temperature 44 months before survey start date</embargo>
  <respUnit>Average maximum temperature 44 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_43" name="C_TEMPMAX_43" files="C" intrvl="discrete">
  <labl>Average maximum temperature 43 months before survey start date</labl>
  <imputation>Average maximum temperature 43 months before survey start date</imputation>
  <security>Average maximum temperature 43 months before survey start date</security>
  <embargo>Average maximum temperature 43 months before survey start date</embargo>
  <respUnit>Average maximum temperature 43 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_42" name="C_TEMPMAX_42" files="C" intrvl="discrete">
  <labl>Average maximum temperature 42 months before survey start date</labl>
  <imputation>Average maximum temperature 42 months before survey start date</imputation>
  <security>Average maximum temperature 42 months before survey start date</security>
  <embargo>Average maximum temperature 42 months before survey start date</embargo>
  <respUnit>Average maximum temperature 42 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_41" name="C_TEMPMAX_41" files="C" intrvl="discrete">
  <labl>Average maximum temperature 41 months before survey start date</labl>
  <imputation>Average maximum temperature 41 months before survey start date</imputation>
  <security>Average maximum temperature 41 months before survey start date</security>
  <embargo>Average maximum temperature 41 months before survey start date</embargo>
  <respUnit>Average maximum temperature 41 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_40" name="C_TEMPMAX_40" files="C" intrvl="discrete">
  <labl>Average maximum temperature 40 months before survey start date</labl>
  <imputation>Average maximum temperature 40 months before survey start date</imputation>
  <security>Average maximum temperature 40 months before survey start date</security>
  <embargo>Average maximum temperature 40 months before survey start date</embargo>
  <respUnit>Average maximum temperature 40 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_39" name="C_TEMPMAX_39" files="C" intrvl="discrete">
  <labl>Average maximum temperature 39 months before survey start date</labl>
  <imputation>Average maximum temperature 39 months before survey start date</imputation>
  <security>Average maximum temperature 39 months before survey start date</security>
  <embargo>Average maximum temperature 39 months before survey start date</embargo>
  <respUnit>Average maximum temperature 39 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_38" name="C_TEMPMAX_38" files="C" intrvl="discrete">
  <labl>Average maximum temperature 38 months before survey start date</labl>
  <imputation>Average maximum temperature 38 months before survey start date</imputation>
  <security>Average maximum temperature 38 months before survey start date</security>
  <embargo>Average maximum temperature 38 months before survey start date</embargo>
  <respUnit>Average maximum temperature 38 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_37" name="C_TEMPMAX_37" files="C" intrvl="discrete">
  <labl>Average maximum temperature 37 months before survey start date</labl>
  <imputation>Average maximum temperature 37 months before survey start date</imputation>
  <security>Average maximum temperature 37 months before survey start date</security>
  <embargo>Average maximum temperature 37 months before survey start date</embargo>
  <respUnit>Average maximum temperature 37 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_36" name="C_TEMPMAX_36" files="C" intrvl="discrete">
  <labl>Average maximum temperature 36 months before survey start date</labl>
  <imputation>Average maximum temperature 36 months before survey start date</imputation>
  <security>Average maximum temperature 36 months before survey start date</security>
  <embargo>Average maximum temperature 36 months before survey start date</embargo>
  <respUnit>Average maximum temperature 36 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_35" name="C_TEMPMAX_35" files="C" intrvl="discrete">
  <labl>Average maximum temperature 35 months before survey start date</labl>
  <imputation>Average maximum temperature 35 months before survey start date</imputation>
  <security>Average maximum temperature 35 months before survey start date</security>
  <embargo>Average maximum temperature 35 months before survey start date</embargo>
  <respUnit>Average maximum temperature 35 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_34" name="C_TEMPMAX_34" files="C" intrvl="discrete">
  <labl>Average maximum temperature 34 months before survey start date</labl>
  <imputation>Average maximum temperature 34 months before survey start date</imputation>
  <security>Average maximum temperature 34 months before survey start date</security>
  <embargo>Average maximum temperature 34 months before survey start date</embargo>
  <respUnit>Average maximum temperature 34 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_33" name="C_TEMPMAX_33" files="C" intrvl="discrete">
  <labl>Average maximum temperature 33 months before survey start date</labl>
  <imputation>Average maximum temperature 33 months before survey start date</imputation>
  <security>Average maximum temperature 33 months before survey start date</security>
  <embargo>Average maximum temperature 33 months before survey start date</embargo>
  <respUnit>Average maximum temperature 33 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_32" name="C_TEMPMAX_32" files="C" intrvl="discrete">
  <labl>Average maximum temperature 32 months before survey start date</labl>
  <imputation>Average maximum temperature 32 months before survey start date</imputation>
  <security>Average maximum temperature 32 months before survey start date</security>
  <embargo>Average maximum temperature 32 months before survey start date</embargo>
  <respUnit>Average maximum temperature 32 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_31" name="C_TEMPMAX_31" files="C" intrvl="discrete">
  <labl>Average maximum temperature 31 months before survey start date</labl>
  <imputation>Average maximum temperature 31 months before survey start date</imputation>
  <security>Average maximum temperature 31 months before survey start date</security>
  <embargo>Average maximum temperature 31 months before survey start date</embargo>
  <respUnit>Average maximum temperature 31 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_30" name="C_TEMPMAX_30" files="C" intrvl="discrete">
  <labl>Average maximum temperature 30 months before survey start date</labl>
  <imputation>Average maximum temperature 30 months before survey start date</imputation>
  <security>Average maximum temperature 30 months before survey start date</security>
  <embargo>Average maximum temperature 30 months before survey start date</embargo>
  <respUnit>Average maximum temperature 30 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_29" name="C_TEMPMAX_29" files="C" intrvl="discrete">
  <labl>Average maximum temperature 29 months before survey start date</labl>
  <imputation>Average maximum temperature 29 months before survey start date</imputation>
  <security>Average maximum temperature 29 months before survey start date</security>
  <embargo>Average maximum temperature 29 months before survey start date</embargo>
  <respUnit>Average maximum temperature 29 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_28" name="C_TEMPMAX_28" files="C" intrvl="discrete">
  <labl>Average maximum temperature 28 months before survey start date</labl>
  <imputation>Average maximum temperature 28 months before survey start date</imputation>
  <security>Average maximum temperature 28 months before survey start date</security>
  <embargo>Average maximum temperature 28 months before survey start date</embargo>
  <respUnit>Average maximum temperature 28 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_27" name="C_TEMPMAX_27" files="C" intrvl="discrete">
  <labl>Average maximum temperature 27 months before survey start date</labl>
  <imputation>Average maximum temperature 27 months before survey start date</imputation>
  <security>Average maximum temperature 27 months before survey start date</security>
  <embargo>Average maximum temperature 27 months before survey start date</embargo>
  <respUnit>Average maximum temperature 27 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_26" name="C_TEMPMAX_26" files="C" intrvl="discrete">
  <labl>Average maximum temperature 26 months before survey start date</labl>
  <imputation>Average maximum temperature 26 months before survey start date</imputation>
  <security>Average maximum temperature 26 months before survey start date</security>
  <embargo>Average maximum temperature 26 months before survey start date</embargo>
  <respUnit>Average maximum temperature 26 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_25" name="C_TEMPMAX_25" files="C" intrvl="discrete">
  <labl>Average maximum temperature 25 months before survey start date</labl>
  <imputation>Average maximum temperature 25 months before survey start date</imputation>
  <security>Average maximum temperature 25 months before survey start date</security>
  <embargo>Average maximum temperature 25 months before survey start date</embargo>
  <respUnit>Average maximum temperature 25 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_24" name="C_TEMPMAX_24" files="C" intrvl="discrete">
  <labl>Average maximum temperature 24 months before survey start date</labl>
  <imputation>Average maximum temperature 24 months before survey start date</imputation>
  <security>Average maximum temperature 24 months before survey start date</security>
  <embargo>Average maximum temperature 24 months before survey start date</embargo>
  <respUnit>Average maximum temperature 24 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_23" name="C_TEMPMAX_23" files="C" intrvl="discrete">
  <labl>Average maximum temperature 23 months before survey start date</labl>
  <imputation>Average maximum temperature 23 months before survey start date</imputation>
  <security>Average maximum temperature 23 months before survey start date</security>
  <embargo>Average maximum temperature 23 months before survey start date</embargo>
  <respUnit>Average maximum temperature 23 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_22" name="C_TEMPMAX_22" files="C" intrvl="discrete">
  <labl>Average maximum temperature 22 months before survey start date</labl>
  <imputation>Average maximum temperature 22 months before survey start date</imputation>
  <security>Average maximum temperature 22 months before survey start date</security>
  <embargo>Average maximum temperature 22 months before survey start date</embargo>
  <respUnit>Average maximum temperature 22 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_21" name="C_TEMPMAX_21" files="C" intrvl="discrete">
  <labl>Average maximum temperature 21 months before survey start date</labl>
  <imputation>Average maximum temperature 21 months before survey start date</imputation>
  <security>Average maximum temperature 21 months before survey start date</security>
  <embargo>Average maximum temperature 21 months before survey start date</embargo>
  <respUnit>Average maximum temperature 21 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_20" name="C_TEMPMAX_20" files="C" intrvl="discrete">
  <labl>Average maximum temperature 20 months before survey start date</labl>
  <imputation>Average maximum temperature 20 months before survey start date</imputation>
  <security>Average maximum temperature 20 months before survey start date</security>
  <embargo>Average maximum temperature 20 months before survey start date</embargo>
  <respUnit>Average maximum temperature 20 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_19" name="C_TEMPMAX_19" files="C" intrvl="discrete">
  <labl>Average maximum temperature 19 months before survey start date</labl>
  <imputation>Average maximum temperature 19 months before survey start date</imputation>
  <security>Average maximum temperature 19 months before survey start date</security>
  <embargo>Average maximum temperature 19 months before survey start date</embargo>
  <respUnit>Average maximum temperature 19 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_18" name="C_TEMPMAX_18" files="C" intrvl="discrete">
  <labl>Average maximum temperature 18 months before survey start date</labl>
  <imputation>Average maximum temperature 18 months before survey start date</imputation>
  <security>Average maximum temperature 18 months before survey start date</security>
  <embargo>Average maximum temperature 18 months before survey start date</embargo>
  <respUnit>Average maximum temperature 18 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_17" name="C_TEMPMAX_17" files="C" intrvl="discrete">
  <labl>Average maximum temperature 17 months before survey start date</labl>
  <imputation>Average maximum temperature 17 months before survey start date</imputation>
  <security>Average maximum temperature 17 months before survey start date</security>
  <embargo>Average maximum temperature 17 months before survey start date</embargo>
  <respUnit>Average maximum temperature 17 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_16" name="C_TEMPMAX_16" files="C" intrvl="discrete">
  <labl>Average maximum temperature 16 months before survey start date</labl>
  <imputation>Average maximum temperature 16 months before survey start date</imputation>
  <security>Average maximum temperature 16 months before survey start date</security>
  <embargo>Average maximum temperature 16 months before survey start date</embargo>
  <respUnit>Average maximum temperature 16 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_15" name="C_TEMPMAX_15" files="C" intrvl="discrete">
  <labl>Average maximum temperature 15 months before survey start date</labl>
  <imputation>Average maximum temperature 15 months before survey start date</imputation>
  <security>Average maximum temperature 15 months before survey start date</security>
  <embargo>Average maximum temperature 15 months before survey start date</embargo>
  <respUnit>Average maximum temperature 15 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_14" name="C_TEMPMAX_14" files="C" intrvl="discrete">
  <labl>Average maximum temperature 14 months before survey start date</labl>
  <imputation>Average maximum temperature 14 months before survey start date</imputation>
  <security>Average maximum temperature 14 months before survey start date</security>
  <embargo>Average maximum temperature 14 months before survey start date</embargo>
  <respUnit>Average maximum temperature 14 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_13" name="C_TEMPMAX_13" files="C" intrvl="discrete">
  <labl>Average maximum temperature 13 months before survey start date</labl>
  <imputation>Average maximum temperature 13 months before survey start date</imputation>
  <security>Average maximum temperature 13 months before survey start date</security>
  <embargo>Average maximum temperature 13 months before survey start date</embargo>
  <respUnit>Average maximum temperature 13 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_12" name="C_TEMPMAX_12" files="C" intrvl="discrete">
  <labl>Average maximum temperature 12 months before survey start date</labl>
  <imputation>Average maximum temperature 12 months before survey start date</imputation>
  <security>Average maximum temperature 12 months before survey start date</security>
  <embargo>Average maximum temperature 12 months before survey start date</embargo>
  <respUnit>Average maximum temperature 12 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_11" name="C_TEMPMAX_11" files="C" intrvl="discrete">
  <labl>Average maximum temperature 11 months before survey start date</labl>
  <imputation>Average maximum temperature 11 months before survey start date</imputation>
  <security>Average maximum temperature 11 months before survey start date</security>
  <embargo>Average maximum temperature 11 months before survey start date</embargo>
  <respUnit>Average maximum temperature 11 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_10" name="C_TEMPMAX_10" files="C" intrvl="discrete">
  <labl>Average maximum temperature 10 months before survey start date</labl>
  <imputation>Average maximum temperature 10 months before survey start date</imputation>
  <security>Average maximum temperature 10 months before survey start date</security>
  <embargo>Average maximum temperature 10 months before survey start date</embargo>
  <respUnit>Average maximum temperature 10 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_09" name="C_TEMPMAX_09" files="C" intrvl="discrete">
  <labl>Average maximum temperature 9 months before survey start date</labl>
  <imputation>Average maximum temperature 9 months before survey start date</imputation>
  <security>Average maximum temperature 9 months before survey start date</security>
  <embargo>Average maximum temperature 9 months before survey start date</embargo>
  <respUnit>Average maximum temperature 9 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_08" name="C_TEMPMAX_08" files="C" intrvl="discrete">
  <labl>Average maximum temperature 8 months before survey start date</labl>
  <imputation>Average maximum temperature 8 months before survey start date</imputation>
  <security>Average maximum temperature 8 months before survey start date</security>
  <embargo>Average maximum temperature 8 months before survey start date</embargo>
  <respUnit>Average maximum temperature 8 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_07" name="C_TEMPMAX_07" files="C" intrvl="discrete">
  <labl>Average maximum temperature 7 months before survey start date</labl>
  <imputation>Average maximum temperature 7 months before survey start date</imputation>
  <security>Average maximum temperature 7 months before survey start date</security>
  <embargo>Average maximum temperature 7 months before survey start date</embargo>
  <respUnit>Average maximum temperature 7 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_06" name="C_TEMPMAX_06" files="C" intrvl="discrete">
  <labl>Average maximum temperature 6 months before survey start date</labl>
  <imputation>Average maximum temperature 6 months before survey start date</imputation>
  <security>Average maximum temperature 6 months before survey start date</security>
  <embargo>Average maximum temperature 6 months before survey start date</embargo>
  <respUnit>Average maximum temperature 6 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_05" name="C_TEMPMAX_05" files="C" intrvl="discrete">
  <labl>Average maximum temperature 5 months before survey start date</labl>
  <imputation>Average maximum temperature 5 months before survey start date</imputation>
  <security>Average maximum temperature 5 months before survey start date</security>
  <embargo>Average maximum temperature 5 months before survey start date</embargo>
  <respUnit>Average maximum temperature 5 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_04" name="C_TEMPMAX_04" files="C" intrvl="discrete">
  <labl>Average maximum temperature 4 months before survey start date</labl>
  <imputation>Average maximum temperature 4 months before survey start date</imputation>
  <security>Average maximum temperature 4 months before survey start date</security>
  <embargo>Average maximum temperature 4 months before survey start date</embargo>
  <respUnit>Average maximum temperature 4 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_03" name="C_TEMPMAX_03" files="C" intrvl="discrete">
  <labl>Average maximum temperature 3 months before survey start date</labl>
  <imputation>Average maximum temperature 3 months before survey start date</imputation>
  <security>Average maximum temperature 3 months before survey start date</security>
  <embargo>Average maximum temperature 3 months before survey start date</embargo>
  <respUnit>Average maximum temperature 3 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_02" name="C_TEMPMAX_02" files="C" intrvl="discrete">
  <labl>Average maximum temperature 2 months before survey start date</labl>
  <imputation>Average maximum temperature 2 months before survey start date</imputation>
  <security>Average maximum temperature 2 months before survey start date</security>
  <embargo>Average maximum temperature 2 months before survey start date</embargo>
  <respUnit>Average maximum temperature 2 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_01" name="C_TEMPMAX_01" files="C" intrvl="discrete">
  <labl>Average maximum temperature 1 month before survey start date</labl>
  <imputation>Average maximum temperature 1 month before survey start date</imputation>
  <security>Average maximum temperature 1 month before survey start date</security>
  <embargo>Average maximum temperature 1 month before survey start date</embargo>
  <respUnit>Average maximum temperature 1 month before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_00" name="C_TEMPMAX_00" files="C" intrvl="discrete">
  <labl>Average maximum temperature month of survey start date</labl>
  <imputation>Average maximum temperature month of survey start date</imputation>
  <security>Average maximum temperature month of survey start date</security>
  <embargo>Average maximum temperature month of survey start date</embargo>
  <respUnit>Average maximum temperature month of survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_A01" name="C_TEMPMAX_A01" files="C" intrvl="discrete">
  <labl>Average maximum temperature 1 month after survey start date</labl>
  <imputation>Average maximum temperature 1 month after survey start date</imputation>
  <security>Average maximum temperature 1 month after survey start date</security>
  <embargo>Average maximum temperature 1 month after survey start date</embargo>
  <respUnit>Average maximum temperature 1 month after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_A02" name="C_TEMPMAX_A02" files="C" intrvl="discrete">
  <labl>Average maximum temperature 2 months after survey start date</labl>
  <imputation>Average maximum temperature 2 months after survey start date</imputation>
  <security>Average maximum temperature 2 months after survey start date</security>
  <embargo>Average maximum temperature 2 months after survey start date</embargo>
  <respUnit>Average maximum temperature 2 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_A03" name="C_TEMPMAX_A03" files="C" intrvl="discrete">
  <labl>Average maximum temperature 3 months after survey start date</labl>
  <imputation>Average maximum temperature 3 months after survey start date</imputation>
  <security>Average maximum temperature 3 months after survey start date</security>
  <embargo>Average maximum temperature 3 months after survey start date</embargo>
  <respUnit>Average maximum temperature 3 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_A04" name="C_TEMPMAX_A04" files="C" intrvl="discrete">
  <labl>Average maximum temperature 4 months after survey start date</labl>
  <imputation>Average maximum temperature 4 months after survey start date</imputation>
  <security>Average maximum temperature 4 months after survey start date</security>
  <embargo>Average maximum temperature 4 months after survey start date</embargo>
  <respUnit>Average maximum temperature 4 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_A05" name="C_TEMPMAX_A05" files="C" intrvl="discrete">
  <labl>Average maximum temperature 5 months after survey start date</labl>
  <imputation>Average maximum temperature 5 months after survey start date</imputation>
  <security>Average maximum temperature 5 months after survey start date</security>
  <embargo>Average maximum temperature 5 months after survey start date</embargo>
  <respUnit>Average maximum temperature 5 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_A06" name="C_TEMPMAX_A06" files="C" intrvl="discrete">
  <labl>Average maximum temperature 6 months after survey start date</labl>
  <imputation>Average maximum temperature 6 months after survey start date</imputation>
  <security>Average maximum temperature 6 months after survey start date</security>
  <embargo>Average maximum temperature 6 months after survey start date</embargo>
  <respUnit>Average maximum temperature 6 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_A07" name="C_TEMPMAX_A07" files="C" intrvl="discrete">
  <labl>Average maximum temperature 7 months after survey start date</labl>
  <imputation>Average maximum temperature 7 months after survey start date</imputation>
  <security>Average maximum temperature 7 months after survey start date</security>
  <embargo>Average maximum temperature 7 months after survey start date</embargo>
  <respUnit>Average maximum temperature 7 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_A08" name="C_TEMPMAX_A08" files="C" intrvl="discrete">
  <labl>Average maximum temperature 8 months after survey start date</labl>
  <imputation>Average maximum temperature 8 months after survey start date</imputation>
  <security>Average maximum temperature 8 months after survey start date</security>
  <embargo>Average maximum temperature 8 months after survey start date</embargo>
  <respUnit>Average maximum temperature 8 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_A09" name="C_TEMPMAX_A09" files="C" intrvl="discrete">
  <labl>Average maximum temperature 9 months after survey start date</labl>
  <imputation>Average maximum temperature 9 months after survey start date</imputation>
  <security>Average maximum temperature 9 months after survey start date</security>
  <embargo>Average maximum temperature 9 months after survey start date</embargo>
  <respUnit>Average maximum temperature 9 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_A10" name="C_TEMPMAX_A10" files="C" intrvl="discrete">
  <labl>Average maximum temperature 10 months after survey start date</labl>
  <imputation>Average maximum temperature 10 months after survey start date</imputation>
  <security>Average maximum temperature 10 months after survey start date</security>
  <embargo>Average maximum temperature 10 months after survey start date</embargo>
  <respUnit>Average maximum temperature 10 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_TEMPMAX_A11" name="C_TEMPMAX_A11" files="C" intrvl="discrete">
  <labl>Average maximum temperature 11 months after survey start date</labl>
  <imputation>Average maximum temperature 11 months after survey start date</imputation>
  <security>Average maximum temperature 11 months after survey start date</security>
  <embargo>Average maximum temperature 11 months after survey start date</embargo>
  <respUnit>Average maximum temperature 11 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_POPDENSITY" name="C_POPDENSITY" files="C" intrvl="discrete">
  <labl>Population density quinquennial time-series (2000-2020)</labl>
  <imputation>Population density quinquennial time-series (2000-2020)</imputation>
  <security>Population density quinquennial time-series (2000-2020)</security>
  <embargo>Population density quinquennial time-series (2000-2020)</embargo>
  <respUnit>Population density quinquennial time-series (2000-2020)</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>POPDENSITY available</labl>
  </catgry>
  <txt>POPDENSITY consists of a set of 5 separate variables. These variables report the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2000, 2005, 2010, 2015, and 2020. By adding POPDENSITY to your data cart, you are in effect adding 5 separate variables (POPDENSITY_2000 - POPDENSITY_2020), one variable for each month. Values for POPDENSITY are based onÂ population projections from the results of the 2000 and 2010 rounds of censuses.

POPDENSITY variables can be used as indicators of urban versus rural status, with the cut-off levels for these categories decided by the researcher, for greater consistency in measurement than the DHS URBAN variable. 

POPDENSITY, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_POPDENSITY_2000" name="C_POPDENSITY_2000" files="C" intrvl="discrete">
  <labl>Population density 2000</labl>
  <imputation>Population density 2000</imputation>
  <security>Population density 2000</security>
  <embargo>Population density 2000</embargo>
  <respUnit>Population density 2000</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POPDENSITY_2000 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2000. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2000 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2000 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2000  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_POPDENSITY_2005" name="C_POPDENSITY_2005" files="C" intrvl="discrete">
  <labl>Population density 2005</labl>
  <imputation>Population density 2005</imputation>
  <security>Population density 2005</security>
  <embargo>Population density 2005</embargo>
  <respUnit>Population density 2005</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POPDENSITY_2005 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2005. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2005 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2005 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2005  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_POPDENSITY_2010" name="C_POPDENSITY_2010" files="C" intrvl="discrete">
  <labl>Population density 2010</labl>
  <imputation>Population density 2010</imputation>
  <security>Population density 2010</security>
  <embargo>Population density 2010</embargo>
  <respUnit>Population density 2010</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POPDENSITY_2010 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2010. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2010 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2010 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2010  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_POPDENSITY_2015" name="C_POPDENSITY_2015" files="C" intrvl="discrete">
  <labl>Population density 2015</labl>
  <imputation>Population density 2015</imputation>
  <security>Population density 2015</security>
  <embargo>Population density 2015</embargo>
  <respUnit>Population density 2015</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POPDENSITY_2015 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2015. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2015 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2015 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2015  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_POPDENSITY_2020" name="C_POPDENSITY_2020" files="C" intrvl="discrete">
  <labl>Population density 2020</labl>
  <imputation>Population density 2020</imputation>
  <security>Population density 2020</security>
  <embargo>Population density 2020</embargo>
  <respUnit>Population density 2020</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POPDENSITY_2020 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2020. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2020 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2020 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. Values for POPDENSITY_2020 are based on population projections from the results of the 2010 round of censuses, which occurred between 2005 and 2014.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2020  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BARLEY_H" name="C_BARLEY_H" files="C" intrvl="discrete">
  <labl>Harvested area barley (in 2000)</labl>
  <imputation>Harvested area barley (in 2000)</imputation>
  <security>Harvested area barley (in 2000)</security>
  <embargo>Harvested area barley (in 2000)</embargo>
  <respUnit>Harvested area barley (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>BARLEY_H reports total harvested area dedicated to barley, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in BARLEY_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable BARLEY_P reports total crop production of barley, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

BARLEY_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_CASSAVA_H" name="C_CASSAVA_H" files="C" intrvl="discrete">
  <labl>Harvested area cassava (in 2000)</labl>
  <imputation>Harvested area cassava (in 2000)</imputation>
  <security>Harvested area cassava (in 2000)</security>
  <embargo>Harvested area cassava (in 2000)</embargo>
  <respUnit>Harvested area cassava (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>CASSAVA_H reports total harvested area dedicated to cassava, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in CASSAVA_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable CASSAVA_P reports total crop production of cassava, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

CASSAVA_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_COTTON_H" name="C_COTTON_H" files="C" intrvl="discrete">
  <labl>Harvested area cotton (in 2000)</labl>
  <imputation>Harvested area cotton (in 2000)</imputation>
  <security>Harvested area cotton (in 2000)</security>
  <embargo>Harvested area cotton (in 2000)</embargo>
  <respUnit>Harvested area cotton (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>COTTON_H reports total harvested area dedicated to cotton, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in COTTON_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable COTTON_P reports total crop production of cotton, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

COTTON_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_GROUNDNUT_H" name="C_GROUNDNUT_H" files="C" intrvl="discrete">
  <labl>Harvested area groundnuts (in 2000)</labl>
  <imputation>Harvested area groundnuts (in 2000)</imputation>
  <security>Harvested area groundnuts (in 2000)</security>
  <embargo>Harvested area groundnuts (in 2000)</embargo>
  <respUnit>Harvested area groundnuts (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>GROUNDNUT_H reports total harvested area dedicated to groundnuts, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in GROUNDNUT_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable GROUNDNUT_P reports total crop production of groundnuts, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

GROUNDNUT_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_MAIZE_H" name="C_MAIZE_H" files="C" intrvl="discrete">
  <labl>Harvested area maize (in 2000)</labl>
  <imputation>Harvested area maize (in 2000)</imputation>
  <security>Harvested area maize (in 2000)</security>
  <embargo>Harvested area maize (in 2000)</embargo>
  <respUnit>Harvested area maize (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>MAIZE_H reports total harvested area dedicated to maize, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in MAIZE_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable MAIZE_P reports total crop production of maize, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

MAIZE_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_MILLET_H" name="C_MILLET_H" files="C" intrvl="discrete">
  <labl>Harvested area millet (in 2000)</labl>
  <imputation>Harvested area millet (in 2000)</imputation>
  <security>Harvested area millet (in 2000)</security>
  <embargo>Harvested area millet (in 2000)</embargo>
  <respUnit>Harvested area millet (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>MILLET_H reports total harvested area dedicated to millet, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in MILLET_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable MILLET_P reports total crop production of millet, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

MILLET_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_OILPALM_H" name="C_OILPALM_H" files="C" intrvl="discrete">
  <labl>Harvested area oilpalm (in 2000)</labl>
  <imputation>Harvested area oilpalm (in 2000)</imputation>
  <security>Harvested area oilpalm (in 2000)</security>
  <embargo>Harvested area oilpalm (in 2000)</embargo>
  <respUnit>Harvested area oilpalm (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>OILPALM_H reports total harvested area dedicated to oil palm, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in OILPALM_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable OILPALM_P reports total crop production of oil palm, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

OILPALM_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_POTATO_H" name="C_POTATO_H" files="C" intrvl="discrete">
  <labl>Harvested area potatoes (in 2000)</labl>
  <imputation>Harvested area potatoes (in 2000)</imputation>
  <security>Harvested area potatoes (in 2000)</security>
  <embargo>Harvested area potatoes (in 2000)</embargo>
  <respUnit>Harvested area potatoes (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POTATO_H reports total harvested area dedicated to potatoes, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in POTATO_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable POTATO_P reports total crop production of potatoes, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

POTATO_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_RAPESEED_H" name="C_RAPESEED_H" files="C" intrvl="discrete">
  <labl>Harvested area rapeseed (in 2000)</labl>
  <imputation>Harvested area rapeseed (in 2000)</imputation>
  <security>Harvested area rapeseed (in 2000)</security>
  <embargo>Harvested area rapeseed (in 2000)</embargo>
  <respUnit>Harvested area rapeseed (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RAPESEED_H reports total harvested area dedicated to rapeseed, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in RAPESEED_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable RAPESEED_P reports total crop production of rapeseed, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RAPESEED_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_RICE_H" name="C_RICE_H" files="C" intrvl="discrete">
  <labl>Harvested area rice (in 2000)</labl>
  <imputation>Harvested area rice (in 2000)</imputation>
  <security>Harvested area rice (in 2000)</security>
  <embargo>Harvested area rice (in 2000)</embargo>
  <respUnit>Harvested area rice (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RICE_H reports total harvested area dedicated to rice, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in RICE_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable RICE_P reports total crop production of rice, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RICE_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_SORGHUM_H" name="C_SORGHUM_H" files="C" intrvl="discrete">
  <labl>Harvested area sorghum (in 2000)</labl>
  <imputation>Harvested area sorghum (in 2000)</imputation>
  <security>Harvested area sorghum (in 2000)</security>
  <embargo>Harvested area sorghum (in 2000)</embargo>
  <respUnit>Harvested area sorghum (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SORGHUM_H reports total harvested area dedicated to sorghum, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in SORGHUM_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable SORGHUM_P reports total crop production of sorghum, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SORGHUM_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_SOYBEAN_H" name="C_SOYBEAN_H" files="C" intrvl="discrete">
  <labl>Harvested area soybeans (in 2000)</labl>
  <imputation>Harvested area soybeans (in 2000)</imputation>
  <security>Harvested area soybeans (in 2000)</security>
  <embargo>Harvested area soybeans (in 2000)</embargo>
  <respUnit>Harvested area soybeans (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SOYBEAN_H reports total harvested area dedicated to soybeans, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in SOYBEAN_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable SOYBEAN_P reports total crop production of soybean, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SOYBEAN_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_SUGARBEET_H" name="C_SUGARBEET_H" files="C" intrvl="discrete">
  <labl>Harvested area sugarbeets (in 2000)</labl>
  <imputation>Harvested area sugarbeets (in 2000)</imputation>
  <security>Harvested area sugarbeets (in 2000)</security>
  <embargo>Harvested area sugarbeets (in 2000)</embargo>
  <respUnit>Harvested area sugarbeets (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUGARBEET_H reports total harvested area dedicated to sugar beets, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUGARBEET_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable SUGARBEET_P reports total crop production of sugar beets, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUGARBEET_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_SUGARCANE_H" name="C_SUGARCANE_H" files="C" intrvl="discrete">
  <labl>Harvested area sugarcane (in 2000)</labl>
  <imputation>Harvested area sugarcane (in 2000)</imputation>
  <security>Harvested area sugarcane (in 2000)</security>
  <embargo>Harvested area sugarcane (in 2000)</embargo>
  <respUnit>Harvested area sugarcane (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUGARCANE_H reports total harvested area dedicated to sugar cane, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUGARCANE_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable SUGARCANE_P reports total crop production of sugar cane, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUGARCANE_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_SUNFLOWER_H" name="C_SUNFLOWER_H" files="C" intrvl="discrete">
  <labl>Harvested area sunflowers (in 2000)</labl>
  <imputation>Harvested area sunflowers (in 2000)</imputation>
  <security>Harvested area sunflowers (in 2000)</security>
  <embargo>Harvested area sunflowers (in 2000)</embargo>
  <respUnit>Harvested area sunflowers (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUNFLOWER_H reports total harvested area dedicated to sunflowers, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUNFLOWER_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable SUNFLOWER_P reports total crop production of sunflowers, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUNFLOWER_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_WHEAT_H" name="C_WHEAT_H" files="C" intrvl="discrete">
  <labl>Harvested area wheat (in 2000)</labl>
  <imputation>Harvested area wheat (in 2000)</imputation>
  <security>Harvested area wheat (in 2000)</security>
  <embargo>Harvested area wheat (in 2000)</embargo>
  <respUnit>Harvested area wheat (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>WHEAT_H reports total harvested area dedicated to wheat, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in WHEAT_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable WHEAT_P reports total crop production of wheat, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

WHEAT_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_RYE_H" name="C_RYE_H" files="C" intrvl="discrete">
  <labl>Harvested area rye (in 2000)</labl>
  <imputation>Harvested area rye (in 2000)</imputation>
  <security>Harvested area rye (in 2000)</security>
  <embargo>Harvested area rye (in 2000)</embargo>
  <respUnit>Harvested area rye (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RYE_H reports total harvested area dedicated to rye, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in RYE_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable RYE_P reports total crop production of rye, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RYE_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_BARLEY_P" name="C_BARLEY_P" files="C" intrvl="discrete">
  <labl>Total barley production (in 2000)</labl>
  <imputation>Total barley production (in 2000)</imputation>
  <security>Total barley production (in 2000)</security>
  <embargo>Total barley production (in 2000)</embargo>
  <respUnit>Total barley production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>BARLEY_P reports the total crop production of barley, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in BARLEY_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable BARLEY_H reports the total harvested area dedicated to barley, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

BARLEY_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_CASSAVA_P" name="C_CASSAVA_P" files="C" intrvl="discrete">
  <labl>Total cassava production (in 2000)</labl>
  <imputation>Total cassava production (in 2000)</imputation>
  <security>Total cassava production (in 2000)</security>
  <embargo>Total cassava production (in 2000)</embargo>
  <respUnit>Total cassava production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>CASSAVA_P reports the total crop production of cassava, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in CASSAVA_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable CASSAVA_H reports the total harvested area dedicated to cassava, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

CASSAVA_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_COTTON_P" name="C_COTTON_P" files="C" intrvl="discrete">
  <labl>Total cotton production (in 2000)</labl>
  <imputation>Total cotton production (in 2000)</imputation>
  <security>Total cotton production (in 2000)</security>
  <embargo>Total cotton production (in 2000)</embargo>
  <respUnit>Total cotton production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>COTTON_P reports the total crop production of cotton, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in COTTON_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable COTTON_H reports the total harvested area dedicated to cotton, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

COTTON_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_GROUNDNUT_P" name="C_GROUNDNUT_P" files="C" intrvl="discrete">
  <labl>Total groundnut production (in 2000)</labl>
  <imputation>Total groundnut production (in 2000)</imputation>
  <security>Total groundnut production (in 2000)</security>
  <embargo>Total groundnut production (in 2000)</embargo>
  <respUnit>Total groundnut production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>GROUNDNUT_P reports the total crop production of groundnuts, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in GROUNDNUT_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable GROUNDNUT_H reports the total harvested area dedicated to groundnuts, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

GROUNDNUT_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_MAIZE_P" name="C_MAIZE_P" files="C" intrvl="discrete">
  <labl>Total maize production (in 2000)</labl>
  <imputation>Total maize production (in 2000)</imputation>
  <security>Total maize production (in 2000)</security>
  <embargo>Total maize production (in 2000)</embargo>
  <respUnit>Total maize production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>MAIZE_P reports the total crop production of maize, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in MAIZE_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable MAIZE_H reports the total harvested area dedicated to maize, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

MAIZE_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_MILLET_P" name="C_MILLET_P" files="C" intrvl="discrete">
  <labl>Total millet production (in 2000)</labl>
  <imputation>Total millet production (in 2000)</imputation>
  <security>Total millet production (in 2000)</security>
  <embargo>Total millet production (in 2000)</embargo>
  <respUnit>Total millet production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>MILLET_P reports the total crop production of millet, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in MILLET_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable MILLET_H reports the total harvested area dedicated to millet, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

MILLET_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_OILPALM_P" name="C_OILPALM_P" files="C" intrvl="discrete">
  <labl>Total oilpalm production (in 2000)</labl>
  <imputation>Total oilpalm production (in 2000)</imputation>
  <security>Total oilpalm production (in 2000)</security>
  <embargo>Total oilpalm production (in 2000)</embargo>
  <respUnit>Total oilpalm production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>OILPALM_P reports the total crop production of oil palm, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in OILPALM_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable OILPALM_H reports the total harvested area dedicated to oil palm, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

OILPALM_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_POTATO_P" name="C_POTATO_P" files="C" intrvl="discrete">
  <labl>Total potato production (in 2000)</labl>
  <imputation>Total potato production (in 2000)</imputation>
  <security>Total potato production (in 2000)</security>
  <embargo>Total potato production (in 2000)</embargo>
  <respUnit>Total potato production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POTATO_P reports the total crop production of potatoes, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in POTATO_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable POTATO_H reports the total harvested area dedicated to potatoes, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

POTATO_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_RAPESEED_P" name="C_RAPESEED_P" files="C" intrvl="discrete">
  <labl>Total rapeseed production (in 2000)</labl>
  <imputation>Total rapeseed production (in 2000)</imputation>
  <security>Total rapeseed production (in 2000)</security>
  <embargo>Total rapeseed production (in 2000)</embargo>
  <respUnit>Total rapeseed production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RAPESEED_P reports the total crop production of rapeseed, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RAPESEED_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable RAPESEED_H reports the total harvested area dedicated to rapeseed, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RAPESEED_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_RICE_P" name="C_RICE_P" files="C" intrvl="discrete">
  <labl>Total rice production (in 2000)</labl>
  <imputation>Total rice production (in 2000)</imputation>
  <security>Total rice production (in 2000)</security>
  <embargo>Total rice production (in 2000)</embargo>
  <respUnit>Total rice production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RICE_P reports the total crop production of rice, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RICE_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable RICE_H reports the total harvested area dedicated to rice, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RICE_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_SORGHUM_P" name="C_SORGHUM_P" files="C" intrvl="discrete">
  <labl>Total sorghum production (in 2000)</labl>
  <imputation>Total sorghum production (in 2000)</imputation>
  <security>Total sorghum production (in 2000)</security>
  <embargo>Total sorghum production (in 2000)</embargo>
  <respUnit>Total sorghum production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SORGHUM_P reports the total crop production of sorghum, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SORGHUM_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable SORGHUM_H reports the total harvested area dedicated to sorghum, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SORGHUM_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_SOYBEAN_P" name="C_SOYBEAN_P" files="C" intrvl="discrete">
  <labl>Total soybean production (in 2000)</labl>
  <imputation>Total soybean production (in 2000)</imputation>
  <security>Total soybean production (in 2000)</security>
  <embargo>Total soybean production (in 2000)</embargo>
  <respUnit>Total soybean production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SOYBEAN_P reports the total crop production of soybeans, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SOYBEAN_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable SOYBEAN_H reports the total harvested area dedicated to soybeans, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SOYBEAN_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_SUGARBEET_P" name="C_SUGARBEET_P" files="C" intrvl="discrete">
  <labl>Total sugarbeet production (in 2000)</labl>
  <imputation>Total sugarbeet production (in 2000)</imputation>
  <security>Total sugarbeet production (in 2000)</security>
  <embargo>Total sugarbeet production (in 2000)</embargo>
  <respUnit>Total sugarbeet production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUGARBEET_P reports the total crop production of sugar beets, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUGARBEET_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable SUGARBEET_H reports the total harvested area dedicated to sugar beets, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUGARBEET_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_SUGARCANE_P" name="C_SUGARCANE_P" files="C" intrvl="discrete">
  <labl>Total sugarcane production (in 2000)</labl>
  <imputation>Total sugarcane production (in 2000)</imputation>
  <security>Total sugarcane production (in 2000)</security>
  <embargo>Total sugarcane production (in 2000)</embargo>
  <respUnit>Total sugarcane production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUGARCANE_P reports the total crop production of sugar cane, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUGARCANE_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable SUGARCANE_H reports the total harvested area dedicated to sugar cane, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUGARCANE_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_SUNFLOWER_P" name="C_SUNFLOWER_P" files="C" intrvl="discrete">
  <labl>Total sunflower production (in 2000)</labl>
  <imputation>Total sunflower production (in 2000)</imputation>
  <security>Total sunflower production (in 2000)</security>
  <embargo>Total sunflower production (in 2000)</embargo>
  <respUnit>Total sunflower production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUNFLOWER_P reports the total crop production of sunflowers, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUNFLOWER_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable SUNFLOWER_H reports the total harvested area dedicated to sunflowers, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUNFLOWER_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_WHEAT_P" name="C_WHEAT_P" files="C" intrvl="discrete">
  <labl>Total wheat production (in 2000)</labl>
  <imputation>Total wheat production (in 2000)</imputation>
  <security>Total wheat production (in 2000)</security>
  <embargo>Total wheat production (in 2000)</embargo>
  <respUnit>Total wheat production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>WHEAT_P reports the total crop production of wheat, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in WHEAT_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable WHEAT_H reports the total harvested area dedicated to wheat, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

WHEAT_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="C_RYE_P" name="C_RYE_P" files="C" intrvl="discrete">
  <labl>Total rye production (in 2000)</labl>
  <imputation>Total rye production (in 2000)</imputation>
  <security>Total rye production (in 2000)</security>
  <embargo>Total rye production (in 2000)</embargo>
  <respUnit>Total rye production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RYE_P reports the total crop production of rye, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RYE_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable RYE_H reports the total harvested area dedicated to rye, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RYE_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_SAMPLE" name="M_SAMPLE" files="M" intrvl="discrete">
  <labl>IPUMS-DHS sample identifier</labl>
  <imputation>IPUMS-DHS sample identifier</imputation>
  <security>IPUMS-DHS sample identifier</security>
  <embargo>IPUMS-DHS sample identifier</embargo>
  <respUnit>IPUMS-DHS sample identifier</respUnit>
  <catgry>
    <catValu>00101</catValu>
    <labl>Model 2015</labl>
  </catgry>
  <catgry>
    <catValu>00401</catValu>
    <labl>Afghanistan 2015</labl>
  </catgry>
  <catgry>
    <catValu>02401</catValu>
    <labl>Angola 2015</labl>
  </catgry>
  <catgry>
    <catValu>05001</catValu>
    <labl>Bangladesh 1994</labl>
  </catgry>
  <catgry>
    <catValu>05002</catValu>
    <labl>Bangladesh 1996-97</labl>
  </catgry>
  <catgry>
    <catValu>05003</catValu>
    <labl>Bangladesh 1999-00</labl>
  </catgry>
  <catgry>
    <catValu>05004</catValu>
    <labl>Bangladesh 2004</labl>
  </catgry>
  <catgry>
    <catValu>05005</catValu>
    <labl>Bangladesh 2007</labl>
  </catgry>
  <catgry>
    <catValu>05006</catValu>
    <labl>Bangladesh 2011</labl>
  </catgry>
  <catgry>
    <catValu>05007</catValu>
    <labl>Bangladesh 2014</labl>
  </catgry>
  <catgry>
    <catValu>10401</catValu>
    <labl>Myanmar 2015</labl>
  </catgry>
  <catgry>
    <catValu>10801</catValu>
    <labl>Burundi 1987</labl>
  </catgry>
  <catgry>
    <catValu>10802</catValu>
    <labl>Burundi 2010</labl>
  </catgry>
  <catgry>
    <catValu>10803</catValu>
    <labl>Burundi 2016</labl>
  </catgry>
  <catgry>
    <catValu>11601</catValu>
    <labl>Cambodia 2000</labl>
  </catgry>
  <catgry>
    <catValu>11602</catValu>
    <labl>Cambodia 2005</labl>
  </catgry>
  <catgry>
    <catValu>11603</catValu>
    <labl>Cambodia 2010</labl>
  </catgry>
  <catgry>
    <catValu>11604</catValu>
    <labl>Cambodia 2014</labl>
  </catgry>
  <catgry>
    <catValu>12001</catValu>
    <labl>Cameroon 1991</labl>
  </catgry>
  <catgry>
    <catValu>12002</catValu>
    <labl>Cameroon 1998</labl>
  </catgry>
  <catgry>
    <catValu>12003</catValu>
    <labl>Cameroon 2004</labl>
  </catgry>
  <catgry>
    <catValu>12004</catValu>
    <labl>Cameroon 2011</labl>
  </catgry>
  <catgry>
    <catValu>14801</catValu>
    <labl>Chad 1996-97</labl>
  </catgry>
  <catgry>
    <catValu>14802</catValu>
    <labl>Chad 2004</labl>
  </catgry>
  <catgry>
    <catValu>14803</catValu>
    <labl>Chad 2014</labl>
  </catgry>
  <catgry>
    <catValu>18001</catValu>
    <labl>Congo Democratic Republic 2007</labl>
  </catgry>
  <catgry>
    <catValu>18002</catValu>
    <labl>Congo Democratic Republic 2013-14</labl>
  </catgry>
  <catgry>
    <catValu>20401</catValu>
    <labl>Benin 1996</labl>
  </catgry>
  <catgry>
    <catValu>20402</catValu>
    <labl>Benin 2001</labl>
  </catgry>
  <catgry>
    <catValu>20403</catValu>
    <labl>Benin 2006</labl>
  </catgry>
  <catgry>
    <catValu>20404</catValu>
    <labl>Benin 2011</labl>
  </catgry>
  <catgry>
    <catValu>23101</catValu>
    <labl>Ethiopia 2000</labl>
  </catgry>
  <catgry>
    <catValu>23102</catValu>
    <labl>Ethiopia 2005</labl>
  </catgry>
  <catgry>
    <catValu>23103</catValu>
    <labl>Ethiopia 2011</labl>
  </catgry>
  <catgry>
    <catValu>23104</catValu>
    <labl>Ethiopia 2016</labl>
  </catgry>
  <catgry>
    <catValu>28801</catValu>
    <labl>Ghana 1988</labl>
  </catgry>
  <catgry>
    <catValu>28802</catValu>
    <labl>Ghana 1993</labl>
  </catgry>
  <catgry>
    <catValu>28803</catValu>
    <labl>Ghana 1998</labl>
  </catgry>
  <catgry>
    <catValu>28804</catValu>
    <labl>Ghana 2003</labl>
  </catgry>
  <catgry>
    <catValu>28805</catValu>
    <labl>Ghana 2008</labl>
  </catgry>
  <catgry>
    <catValu>28806</catValu>
    <labl>Ghana 2014</labl>
  </catgry>
  <catgry>
    <catValu>32001</catValu>
    <labl>Guatemala 1987</labl>
  </catgry>
  <catgry>
    <catValu>32002</catValu>
    <labl>Guatemala 1995</labl>
  </catgry>
  <catgry>
    <catValu>32003</catValu>
    <labl>Guatemala 2015</labl>
  </catgry>
  <catgry>
    <catValu>32401</catValu>
    <labl>Guinea 1999</labl>
  </catgry>
  <catgry>
    <catValu>32402</catValu>
    <labl>Guinea 2005</labl>
  </catgry>
  <catgry>
    <catValu>32403</catValu>
    <labl>Guinea 2012</labl>
  </catgry>
  <catgry>
    <catValu>35601</catValu>
    <labl>India 1992-93</labl>
  </catgry>
  <catgry>
    <catValu>35602</catValu>
    <labl>India 1998-99</labl>
  </catgry>
  <catgry>
    <catValu>35603</catValu>
    <labl>India 2005-06</labl>
  </catgry>
  <catgry>
    <catValu>35604</catValu>
    <labl>India 2015-16</labl>
  </catgry>
  <catgry>
    <catValu>38401</catValu>
    <labl>Cote d'Ivoire 1994</labl>
  </catgry>
  <catgry>
    <catValu>38402</catValu>
    <labl>Cote d'Ivoire 1998</labl>
  </catgry>
  <catgry>
    <catValu>38403</catValu>
    <labl>Cote d'Ivoire 2011</labl>
  </catgry>
  <catgry>
    <catValu>40001</catValu>
    <labl>Jordan 1990</labl>
  </catgry>
  <catgry>
    <catValu>40002</catValu>
    <labl>Jordan 1997</labl>
  </catgry>
  <catgry>
    <catValu>40003</catValu>
    <labl>Jordan 2002</labl>
  </catgry>
  <catgry>
    <catValu>40004</catValu>
    <labl>Jordan 2007</labl>
  </catgry>
  <catgry>
    <catValu>40005</catValu>
    <labl>Jordan 2009</labl>
  </catgry>
  <catgry>
    <catValu>40006</catValu>
    <labl>Jordan 2012</labl>
  </catgry>
  <catgry>
    <catValu>40007</catValu>
    <labl>Jordan 2017-18</labl>
  </catgry>
  <catgry>
    <catValu>40401</catValu>
    <labl>Kenya 1989</labl>
  </catgry>
  <catgry>
    <catValu>40402</catValu>
    <labl>Kenya 1993</labl>
  </catgry>
  <catgry>
    <catValu>40403</catValu>
    <labl>Kenya 1998</labl>
  </catgry>
  <catgry>
    <catValu>40404</catValu>
    <labl>Kenya 2003</labl>
  </catgry>
  <catgry>
    <catValu>40405</catValu>
    <labl>Kenya 2008-9</labl>
  </catgry>
  <catgry>
    <catValu>40406</catValu>
    <labl>Kenya 2014</labl>
  </catgry>
  <catgry>
    <catValu>42601</catValu>
    <labl>Lesotho 2004</labl>
  </catgry>
  <catgry>
    <catValu>42602</catValu>
    <labl>Lesotho 2009</labl>
  </catgry>
  <catgry>
    <catValu>42603</catValu>
    <labl>Lesotho 2014</labl>
  </catgry>
  <catgry>
    <catValu>45001</catValu>
    <labl>Madagascar 1992</labl>
  </catgry>
  <catgry>
    <catValu>45002</catValu>
    <labl>Madagascar 1997</labl>
  </catgry>
  <catgry>
    <catValu>45003</catValu>
    <labl>Madagascar 2003</labl>
  </catgry>
  <catgry>
    <catValu>45004</catValu>
    <labl>Madagascar 2008</labl>
  </catgry>
  <catgry>
    <catValu>45401</catValu>
    <labl>Malawi 1992</labl>
  </catgry>
  <catgry>
    <catValu>45402</catValu>
    <labl>Malawi 2000</labl>
  </catgry>
  <catgry>
    <catValu>45403</catValu>
    <labl>Malawi 2004</labl>
  </catgry>
  <catgry>
    <catValu>45404</catValu>
    <labl>Malawi 2010</labl>
  </catgry>
  <catgry>
    <catValu>45405</catValu>
    <labl>Malawi 2016</labl>
  </catgry>
  <catgry>
    <catValu>46601</catValu>
    <labl>Mali 1987</labl>
  </catgry>
  <catgry>
    <catValu>46602</catValu>
    <labl>Mali 1995-6</labl>
  </catgry>
  <catgry>
    <catValu>46603</catValu>
    <labl>Mali 2001</labl>
  </catgry>
  <catgry>
    <catValu>46604</catValu>
    <labl>Mali 2006</labl>
  </catgry>
  <catgry>
    <catValu>46605</catValu>
    <labl>Mali 2012</labl>
  </catgry>
  <catgry>
    <catValu>50401</catValu>
    <labl>Morocco 1987</labl>
  </catgry>
  <catgry>
    <catValu>50402</catValu>
    <labl>Morocco 1992</labl>
  </catgry>
  <catgry>
    <catValu>50403</catValu>
    <labl>Morocco 2003</labl>
  </catgry>
  <catgry>
    <catValu>50801</catValu>
    <labl>Mozambique 1997</labl>
  </catgry>
  <catgry>
    <catValu>50802</catValu>
    <labl>Mozambique 2003</labl>
  </catgry>
  <catgry>
    <catValu>50803</catValu>
    <labl>Mozambique 2011</labl>
  </catgry>
  <catgry>
    <catValu>51601</catValu>
    <labl>Namibia 1992</labl>
  </catgry>
  <catgry>
    <catValu>51602</catValu>
    <labl>Namibia 2000</labl>
  </catgry>
  <catgry>
    <catValu>51603</catValu>
    <labl>Namibia 2006</labl>
  </catgry>
  <catgry>
    <catValu>51604</catValu>
    <labl>Namibia 2013</labl>
  </catgry>
  <catgry>
    <catValu>52401</catValu>
    <labl>Nepal 1996</labl>
  </catgry>
  <catgry>
    <catValu>52402</catValu>
    <labl>Nepal 2001</labl>
  </catgry>
  <catgry>
    <catValu>52403</catValu>
    <labl>Nepal 2006</labl>
  </catgry>
  <catgry>
    <catValu>52404</catValu>
    <labl>Nepal 2011</labl>
  </catgry>
  <catgry>
    <catValu>52405</catValu>
    <labl>Nepal 2016</labl>
  </catgry>
  <catgry>
    <catValu>56201</catValu>
    <labl>Niger 1992</labl>
  </catgry>
  <catgry>
    <catValu>56202</catValu>
    <labl>Niger 1998</labl>
  </catgry>
  <catgry>
    <catValu>56203</catValu>
    <labl>Niger 2006</labl>
  </catgry>
  <catgry>
    <catValu>56204</catValu>
    <labl>Niger 2012</labl>
  </catgry>
  <catgry>
    <catValu>56601</catValu>
    <labl>Nigeria 1990</labl>
  </catgry>
  <catgry>
    <catValu>56602</catValu>
    <labl>Nigeria 1999</labl>
  </catgry>
  <catgry>
    <catValu>56603</catValu>
    <labl>Nigeria 2003</labl>
  </catgry>
  <catgry>
    <catValu>56604</catValu>
    <labl>Nigeria 2008</labl>
  </catgry>
  <catgry>
    <catValu>56605</catValu>
    <labl>Nigeria 2013</labl>
  </catgry>
  <catgry>
    <catValu>58601</catValu>
    <labl>Pakistan 1990-91</labl>
  </catgry>
  <catgry>
    <catValu>58602</catValu>
    <labl>Pakistan 2006-07</labl>
  </catgry>
  <catgry>
    <catValu>58603</catValu>
    <labl>Pakistan 2012-13</labl>
  </catgry>
  <catgry>
    <catValu>58604</catValu>
    <labl>Pakistan 2017-18</labl>
  </catgry>
  <catgry>
    <catValu>60401</catValu>
    <labl>Peru 1991-92</labl>
  </catgry>
  <catgry>
    <catValu>60402</catValu>
    <labl>Peru 1996</labl>
  </catgry>
  <catgry>
    <catValu>60403</catValu>
    <labl>Peru 2000</labl>
  </catgry>
  <catgry>
    <catValu>60404</catValu>
    <labl>Peru 2004-08</labl>
  </catgry>
  <catgry>
    <catValu>60405</catValu>
    <labl>Peru 2010</labl>
  </catgry>
  <catgry>
    <catValu>60406</catValu>
    <labl>Peru 2011</labl>
  </catgry>
  <catgry>
    <catValu>60407</catValu>
    <labl>Peru 2012</labl>
  </catgry>
  <catgry>
    <catValu>64601</catValu>
    <labl>Rwanda 1992</labl>
  </catgry>
  <catgry>
    <catValu>64602</catValu>
    <labl>Rwanda 2000</labl>
  </catgry>
  <catgry>
    <catValu>64603</catValu>
    <labl>Rwanda 2005</labl>
  </catgry>
  <catgry>
    <catValu>64604</catValu>
    <labl>Rwanda 2010</labl>
  </catgry>
  <catgry>
    <catValu>64605</catValu>
    <labl>Rwanda 2014</labl>
  </catgry>
  <catgry>
    <catValu>68601</catValu>
    <labl>Senegal 1986</labl>
  </catgry>
  <catgry>
    <catValu>68602</catValu>
    <labl>Senegal 1992-93</labl>
  </catgry>
  <catgry>
    <catValu>68603</catValu>
    <labl>Senegal 1997</labl>
  </catgry>
  <catgry>
    <catValu>68604</catValu>
    <labl>Senegal 2005</labl>
  </catgry>
  <catgry>
    <catValu>68605</catValu>
    <labl>Senegal 2010-11</labl>
  </catgry>
  <catgry>
    <catValu>68606</catValu>
    <labl>Senegal 2012-13</labl>
  </catgry>
  <catgry>
    <catValu>68607</catValu>
    <labl>Senegal 2014</labl>
  </catgry>
  <catgry>
    <catValu>68608</catValu>
    <labl>Senegal 2015</labl>
  </catgry>
  <catgry>
    <catValu>68609</catValu>
    <labl>Senegal 2016</labl>
  </catgry>
  <catgry>
    <catValu>68610</catValu>
    <labl>Senegal 2017</labl>
  </catgry>
  <catgry>
    <catValu>71001</catValu>
    <labl>South Africa 1998</labl>
  </catgry>
  <catgry>
    <catValu>71002</catValu>
    <labl>South Africa 2016</labl>
  </catgry>
  <catgry>
    <catValu>71601</catValu>
    <labl>Zimbabwe 1988</labl>
  </catgry>
  <catgry>
    <catValu>71602</catValu>
    <labl>Zimbabwe 1994</labl>
  </catgry>
  <catgry>
    <catValu>71603</catValu>
    <labl>Zimbabwe 1999</labl>
  </catgry>
  <catgry>
    <catValu>71604</catValu>
    <labl>Zimbabwe 2005-6</labl>
  </catgry>
  <catgry>
    <catValu>71605</catValu>
    <labl>Zimbabwe 2010-11</labl>
  </catgry>
  <catgry>
    <catValu>71606</catValu>
    <labl>Zimbabwe 2015</labl>
  </catgry>
  <catgry>
    <catValu>72901</catValu>
    <labl>Sudan 1989-90</labl>
  </catgry>
  <catgry>
    <catValu>78801</catValu>
    <labl>Tunisia 1988</labl>
  </catgry>
  <catgry>
    <catValu>79201</catValu>
    <labl>Turkey 1993</labl>
  </catgry>
  <catgry>
    <catValu>79202</catValu>
    <labl>Turkey 1998</labl>
  </catgry>
  <catgry>
    <catValu>79203</catValu>
    <labl>Turkey 2003</labl>
  </catgry>
  <catgry>
    <catValu>80001</catValu>
    <labl>Uganda 1988</labl>
  </catgry>
  <catgry>
    <catValu>80002</catValu>
    <labl>Uganda 1995</labl>
  </catgry>
  <catgry>
    <catValu>80003</catValu>
    <labl>Uganda 2001</labl>
  </catgry>
  <catgry>
    <catValu>80004</catValu>
    <labl>Uganda 2006</labl>
  </catgry>
  <catgry>
    <catValu>80005</catValu>
    <labl>Uganda 2011</labl>
  </catgry>
  <catgry>
    <catValu>80006</catValu>
    <labl>Uganda 2016</labl>
  </catgry>
  <catgry>
    <catValu>81801</catValu>
    <labl>Egypt 1988</labl>
  </catgry>
  <catgry>
    <catValu>81802</catValu>
    <labl>Egypt 1992</labl>
  </catgry>
  <catgry>
    <catValu>81803</catValu>
    <labl>Egypt 1995</labl>
  </catgry>
  <catgry>
    <catValu>81804</catValu>
    <labl>Egypt 2000</labl>
  </catgry>
  <catgry>
    <catValu>81805</catValu>
    <labl>Egypt 2005</labl>
  </catgry>
  <catgry>
    <catValu>81806</catValu>
    <labl>Egypt 2008</labl>
  </catgry>
  <catgry>
    <catValu>81807</catValu>
    <labl>Egypt 2014</labl>
  </catgry>
  <catgry>
    <catValu>83401</catValu>
    <labl>Tanzania 1991</labl>
  </catgry>
  <catgry>
    <catValu>83402</catValu>
    <labl>Tanzania 1996</labl>
  </catgry>
  <catgry>
    <catValu>83403</catValu>
    <labl>Tanzania 1999</labl>
  </catgry>
  <catgry>
    <catValu>83404</catValu>
    <labl>Tanzania 2004</labl>
  </catgry>
  <catgry>
    <catValu>83405</catValu>
    <labl>Tanzania 2010</labl>
  </catgry>
  <catgry>
    <catValu>83406</catValu>
    <labl>Tanzania 2015</labl>
  </catgry>
  <catgry>
    <catValu>85401</catValu>
    <labl>Burkina Faso 1993</labl>
  </catgry>
  <catgry>
    <catValu>85402</catValu>
    <labl>Burkina Faso 1998</labl>
  </catgry>
  <catgry>
    <catValu>85403</catValu>
    <labl>Burkina Faso 2003</labl>
  </catgry>
  <catgry>
    <catValu>85404</catValu>
    <labl>Burkina Faso 2010</labl>
  </catgry>
  <catgry>
    <catValu>88701</catValu>
    <labl>Yemen 1991-92</labl>
  </catgry>
  <catgry>
    <catValu>88702</catValu>
    <labl>Yemen 2013</labl>
  </catgry>
  <catgry>
    <catValu>89401</catValu>
    <labl>Zambia 1992</labl>
  </catgry>
  <catgry>
    <catValu>89402</catValu>
    <labl>Zambia 1996</labl>
  </catgry>
  <catgry>
    <catValu>89403</catValu>
    <labl>Zambia 2001</labl>
  </catgry>
  <catgry>
    <catValu>89404</catValu>
    <labl>Zambia 2007</labl>
  </catgry>
  <catgry>
    <catValu>89405</catValu>
    <labl>Zambia 2013</labl>
  </catgry>
  <txt>SAMPLE identifies the DHS sample from which the case is drawn.  Each sample receives a unique 5-digit code.  The first three digits are ISO/UN codes used in COUNTRY, and the last two digits identify the sample within the country, ordered by survey year.

The related variable SAMPLESTR is a string variable that identifies the DHS sample with the same 5-digit code.</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_SAMPLESTR" name="M_SAMPLESTR" files="M" intrvl="discrete">
  <labl>IPUMS-DHS sample identifier (string)</labl>
  <imputation>IPUMS-DHS sample identifier (string)</imputation>
  <security>IPUMS-DHS sample identifier (string)</security>
  <embargo>IPUMS-DHS sample identifier (string)</embargo>
  <respUnit>IPUMS-DHS sample identifier (string)</respUnit>
  <catgry>
    <catValu>11603</catValu>
    <labl>Cambodia 2010</labl>
  </catgry>
  <catgry>
    <catValu>11602</catValu>
    <labl>Cambodia 2005</labl>
  </catgry>
  <catgry>
    <catValu>11601</catValu>
    <labl>Cambodia 2000</labl>
  </catgry>
  <catgry>
    <catValu>10803</catValu>
    <labl>Burundi 2016</labl>
  </catgry>
  <catgry>
    <catValu>10802</catValu>
    <labl>Burundi 2010</labl>
  </catgry>
  <catgry>
    <catValu>10801</catValu>
    <labl>Burundi 1987</labl>
  </catgry>
  <catgry>
    <catValu>10401</catValu>
    <labl>Myanmar 2015</labl>
  </catgry>
  <catgry>
    <catValu>05007</catValu>
    <labl>Bangladesh 2014</labl>
  </catgry>
  <catgry>
    <catValu>05006</catValu>
    <labl>Bangladesh 2011</labl>
  </catgry>
  <catgry>
    <catValu>05005</catValu>
    <labl>Bangladesh 2007</labl>
  </catgry>
  <catgry>
    <catValu>05004</catValu>
    <labl>Bangladesh 2004</labl>
  </catgry>
  <catgry>
    <catValu>05003</catValu>
    <labl>Bangladesh 1999-00</labl>
  </catgry>
  <catgry>
    <catValu>05001</catValu>
    <labl>Bangladesh 1994</labl>
  </catgry>
  <catgry>
    <catValu>05002</catValu>
    <labl>Bangladesh 1996-97</labl>
  </catgry>
  <catgry>
    <catValu>14801</catValu>
    <labl>Chad 1996-97</labl>
  </catgry>
  <catgry>
    <catValu>12004</catValu>
    <labl>Cameroon 2011</labl>
  </catgry>
  <catgry>
    <catValu>12003</catValu>
    <labl>Cameroon 2004</labl>
  </catgry>
  <catgry>
    <catValu>14803</catValu>
    <labl>Chad 2014</labl>
  </catgry>
  <catgry>
    <catValu>18001</catValu>
    <labl>Congo Democratic Republic 2007</labl>
  </catgry>
  <catgry>
    <catValu>18002</catValu>
    <labl>Congo Democratic Republic 2013-14</labl>
  </catgry>
  <catgry>
    <catValu>20401</catValu>
    <labl>Benin 1996</labl>
  </catgry>
  <catgry>
    <catValu>81807</catValu>
    <labl>Egypt 2014</labl>
  </catgry>
  <catgry>
    <catValu>81806</catValu>
    <labl>Egypt 2008</labl>
  </catgry>
  <catgry>
    <catValu>81805</catValu>
    <labl>Egypt 2005</labl>
  </catgry>
  <catgry>
    <catValu>81804</catValu>
    <labl>Egypt 2000</labl>
  </catgry>
  <catgry>
    <catValu>81803</catValu>
    <labl>Egypt 1995</labl>
  </catgry>
  <catgry>
    <catValu>81802</catValu>
    <labl>Egypt 1992</labl>
  </catgry>
  <catgry>
    <catValu>81801</catValu>
    <labl>Egypt 1988</labl>
  </catgry>
  <catgry>
    <catValu>80006</catValu>
    <labl>Uganda 2016</labl>
  </catgry>
  <catgry>
    <catValu>80005</catValu>
    <labl>Uganda 2011</labl>
  </catgry>
  <catgry>
    <catValu>80004</catValu>
    <labl>Uganda 2006</labl>
  </catgry>
  <catgry>
    <catValu>80003</catValu>
    <labl>Uganda 2001</labl>
  </catgry>
  <catgry>
    <catValu>80002</catValu>
    <labl>Uganda 1995</labl>
  </catgry>
  <catgry>
    <catValu>80001</catValu>
    <labl>Uganda 1988</labl>
  </catgry>
  <catgry>
    <catValu>79203</catValu>
    <labl>Turkey 2003</labl>
  </catgry>
  <catgry>
    <catValu>79202</catValu>
    <labl>Turkey 1998</labl>
  </catgry>
  <catgry>
    <catValu>79201</catValu>
    <labl>Turkey 1993</labl>
  </catgry>
  <catgry>
    <catValu>78801</catValu>
    <labl>Tunisia 1988</labl>
  </catgry>
  <catgry>
    <catValu>72901</catValu>
    <labl>Sudan 1989-90</labl>
  </catgry>
  <catgry>
    <catValu>71606</catValu>
    <labl>Zimbabwe 2015</labl>
  </catgry>
  <catgry>
    <catValu>71605</catValu>
    <labl>Zimbabwe 2010-11</labl>
  </catgry>
  <catgry>
    <catValu>71604</catValu>
    <labl>Zimbabwe 2005-6</labl>
  </catgry>
  <catgry>
    <catValu>71603</catValu>
    <labl>Zimbabwe 1999</labl>
  </catgry>
  <catgry>
    <catValu>71602</catValu>
    <labl>Zimbabwe 1994</labl>
  </catgry>
  <catgry>
    <catValu>71601</catValu>
    <labl>Zimbabwe 1988</labl>
  </catgry>
  <catgry>
    <catValu>71001</catValu>
    <labl>South Africa 1998</labl>
  </catgry>
  <catgry>
    <catValu>68610</catValu>
    <labl>Senegal 2017</labl>
  </catgry>
  <catgry>
    <catValu>68609</catValu>
    <labl>Senegal 2016</labl>
  </catgry>
  <catgry>
    <catValu>68608</catValu>
    <labl>Senegal 2015</labl>
  </catgry>
  <catgry>
    <catValu>68607</catValu>
    <labl>Senegal 2014</labl>
  </catgry>
  <catgry>
    <catValu>14802</catValu>
    <labl>Chad 2004</labl>
  </catgry>
  <catgry>
    <catValu>68606</catValu>
    <labl>Senegal 2012-13</labl>
  </catgry>
  <catgry>
    <catValu>68605</catValu>
    <labl>Senegal 2010-11</labl>
  </catgry>
  <catgry>
    <catValu>68604</catValu>
    <labl>Senegal 2005</labl>
  </catgry>
  <catgry>
    <catValu>68603</catValu>
    <labl>Senegal 1997</labl>
  </catgry>
  <catgry>
    <catValu>68602</catValu>
    <labl>Senegal 1992-93</labl>
  </catgry>
  <catgry>
    <catValu>68601</catValu>
    <labl>Senegal 1986</labl>
  </catgry>
  <catgry>
    <catValu>64605</catValu>
    <labl>Rwanda 2014</labl>
  </catgry>
  <catgry>
    <catValu>64604</catValu>
    <labl>Rwanda 2010</labl>
  </catgry>
  <catgry>
    <catValu>64603</catValu>
    <labl>Rwanda 2005</labl>
  </catgry>
  <catgry>
    <catValu>64602</catValu>
    <labl>Rwanda 2000</labl>
  </catgry>
  <catgry>
    <catValu>64601</catValu>
    <labl>Rwanda 1992</labl>
  </catgry>
  <catgry>
    <catValu>60407</catValu>
    <labl>Peru 2012</labl>
  </catgry>
  <catgry>
    <catValu>60406</catValu>
    <labl>Peru 2011</labl>
  </catgry>
  <catgry>
    <catValu>60405</catValu>
    <labl>Peru 2010</labl>
  </catgry>
  <catgry>
    <catValu>60404</catValu>
    <labl>Peru 2004-08</labl>
  </catgry>
  <catgry>
    <catValu>60403</catValu>
    <labl>Peru 2000</labl>
  </catgry>
  <catgry>
    <catValu>60402</catValu>
    <labl>Peru 1996</labl>
  </catgry>
  <catgry>
    <catValu>60401</catValu>
    <labl>Peru 1991-92</labl>
  </catgry>
  <catgry>
    <catValu>58603</catValu>
    <labl>Pakistan 2012-13</labl>
  </catgry>
  <catgry>
    <catValu>58602</catValu>
    <labl>Pakistan 2006-07</labl>
  </catgry>
  <catgry>
    <catValu>58601</catValu>
    <labl>Pakistan 1990-91</labl>
  </catgry>
  <catgry>
    <catValu>56605</catValu>
    <labl>Nigeria 2013</labl>
  </catgry>
  <catgry>
    <catValu>56604</catValu>
    <labl>Nigeria 2008</labl>
  </catgry>
  <catgry>
    <catValu>56603</catValu>
    <labl>Nigeria 2003</labl>
  </catgry>
  <catgry>
    <catValu>56602</catValu>
    <labl>Nigeria 1999</labl>
  </catgry>
  <catgry>
    <catValu>56601</catValu>
    <labl>Nigeria 1990</labl>
  </catgry>
  <catgry>
    <catValu>56204</catValu>
    <labl>Niger 2012</labl>
  </catgry>
  <catgry>
    <catValu>56203</catValu>
    <labl>Niger 2006</labl>
  </catgry>
  <catgry>
    <catValu>56202</catValu>
    <labl>Niger 1998</labl>
  </catgry>
  <catgry>
    <catValu>12002</catValu>
    <labl>Cameroon 1998</labl>
  </catgry>
  <catgry>
    <catValu>12001</catValu>
    <labl>Cameroon 1991</labl>
  </catgry>
  <catgry>
    <catValu>11604</catValu>
    <labl>Cambodia 2014</labl>
  </catgry>
  <catgry>
    <catValu>02401</catValu>
    <labl>Angola 2015</labl>
  </catgry>
  <catgry>
    <catValu>00401</catValu>
    <labl>Afghanistan 2015</labl>
  </catgry>
  <catgry>
    <catValu>00101</catValu>
    <labl>Model 2015</labl>
  </catgry>
  <catgry>
    <catValu>56201</catValu>
    <labl>Niger 1992</labl>
  </catgry>
  <catgry>
    <catValu>52404</catValu>
    <labl>Nepal 2011</labl>
  </catgry>
  <catgry>
    <catValu>52403</catValu>
    <labl>Nepal 2006</labl>
  </catgry>
  <catgry>
    <catValu>52402</catValu>
    <labl>Nepal 2001</labl>
  </catgry>
  <catgry>
    <catValu>52401</catValu>
    <labl>Nepal 1996</labl>
  </catgry>
  <catgry>
    <catValu>51604</catValu>
    <labl>Namibia 2013</labl>
  </catgry>
  <catgry>
    <catValu>51603</catValu>
    <labl>Namibia 2006</labl>
  </catgry>
  <catgry>
    <catValu>51602</catValu>
    <labl>Namibia 2000</labl>
  </catgry>
  <catgry>
    <catValu>51601</catValu>
    <labl>Namibia 1992</labl>
  </catgry>
  <catgry>
    <catValu>50803</catValu>
    <labl>Mozambique 2011</labl>
  </catgry>
  <catgry>
    <catValu>50802</catValu>
    <labl>Mozambique 2003</labl>
  </catgry>
  <catgry>
    <catValu>50801</catValu>
    <labl>Mozambique 1997</labl>
  </catgry>
  <catgry>
    <catValu>50403</catValu>
    <labl>Morocco 2003</labl>
  </catgry>
  <catgry>
    <catValu>50402</catValu>
    <labl>Morocco 1992</labl>
  </catgry>
  <catgry>
    <catValu>50401</catValu>
    <labl>Morocco 1987</labl>
  </catgry>
  <catgry>
    <catValu>46605</catValu>
    <labl>Mali 2012</labl>
  </catgry>
  <catgry>
    <catValu>46604</catValu>
    <labl>Mali 2006</labl>
  </catgry>
  <catgry>
    <catValu>46603</catValu>
    <labl>Mali 2001</labl>
  </catgry>
  <catgry>
    <catValu>46602</catValu>
    <labl>Mali 1995-6</labl>
  </catgry>
  <catgry>
    <catValu>46601</catValu>
    <labl>Mali 1987</labl>
  </catgry>
  <catgry>
    <catValu>45405</catValu>
    <labl>Malawi 2016</labl>
  </catgry>
  <catgry>
    <catValu>45404</catValu>
    <labl>Malawi 2010</labl>
  </catgry>
  <catgry>
    <catValu>45403</catValu>
    <labl>Malawi 2004</labl>
  </catgry>
  <catgry>
    <catValu>45402</catValu>
    <labl>Malawi 2000</labl>
  </catgry>
  <catgry>
    <catValu>45401</catValu>
    <labl>Malawi 1992</labl>
  </catgry>
  <catgry>
    <catValu>45004</catValu>
    <labl>Madagascar 2008</labl>
  </catgry>
  <catgry>
    <catValu>45003</catValu>
    <labl>Madagascar 2003</labl>
  </catgry>
  <catgry>
    <catValu>45002</catValu>
    <labl>Madagascar 1997</labl>
  </catgry>
  <catgry>
    <catValu>45001</catValu>
    <labl>Madagascar 1992</labl>
  </catgry>
  <catgry>
    <catValu>42603</catValu>
    <labl>Lesotho 2014</labl>
  </catgry>
  <catgry>
    <catValu>42602</catValu>
    <labl>Lesotho 2009</labl>
  </catgry>
  <catgry>
    <catValu>42601</catValu>
    <labl>Lesotho 2004</labl>
  </catgry>
  <catgry>
    <catValu>40406</catValu>
    <labl>Kenya 2014</labl>
  </catgry>
  <catgry>
    <catValu>40405</catValu>
    <labl>Kenya 2008-9</labl>
  </catgry>
  <catgry>
    <catValu>40404</catValu>
    <labl>Kenya 2003</labl>
  </catgry>
  <catgry>
    <catValu>40403</catValu>
    <labl>Kenya 1998</labl>
  </catgry>
  <catgry>
    <catValu>40402</catValu>
    <labl>Kenya 1993</labl>
  </catgry>
  <catgry>
    <catValu>40401</catValu>
    <labl>Kenya 1989</labl>
  </catgry>
  <catgry>
    <catValu>40006</catValu>
    <labl>Jordan 2012</labl>
  </catgry>
  <catgry>
    <catValu>40005</catValu>
    <labl>Jordan 2009</labl>
  </catgry>
  <catgry>
    <catValu>40004</catValu>
    <labl>Jordan 2007</labl>
  </catgry>
  <catgry>
    <catValu>40003</catValu>
    <labl>Jordan 2002</labl>
  </catgry>
  <catgry>
    <catValu>40002</catValu>
    <labl>Jordan 1997</labl>
  </catgry>
  <catgry>
    <catValu>40001</catValu>
    <labl>Jordan 1990</labl>
  </catgry>
  <catgry>
    <catValu>38403</catValu>
    <labl>Cote d'Ivoire 2011</labl>
  </catgry>
  <catgry>
    <catValu>38402</catValu>
    <labl>Cote d'Ivoire 1998</labl>
  </catgry>
  <catgry>
    <catValu>38401</catValu>
    <labl>Cote d'Ivoire 1994</labl>
  </catgry>
  <catgry>
    <catValu>35604</catValu>
    <labl>India 2015-16</labl>
  </catgry>
  <catgry>
    <catValu>35603</catValu>
    <labl>India 2005-06</labl>
  </catgry>
  <catgry>
    <catValu>35602</catValu>
    <labl>India 1998-99</labl>
  </catgry>
  <catgry>
    <catValu>35601</catValu>
    <labl>India 1992-93</labl>
  </catgry>
  <catgry>
    <catValu>32403</catValu>
    <labl>Guinea 2012</labl>
  </catgry>
  <catgry>
    <catValu>32402</catValu>
    <labl>Guinea 2005</labl>
  </catgry>
  <catgry>
    <catValu>32401</catValu>
    <labl>Guinea 1999</labl>
  </catgry>
  <catgry>
    <catValu>32003</catValu>
    <labl>Guatemala 2015</labl>
  </catgry>
  <catgry>
    <catValu>32002</catValu>
    <labl>Guatemala 1995</labl>
  </catgry>
  <catgry>
    <catValu>32001</catValu>
    <labl>Guatemala 1987</labl>
  </catgry>
  <catgry>
    <catValu>28806</catValu>
    <labl>Ghana 2014</labl>
  </catgry>
  <catgry>
    <catValu>28805</catValu>
    <labl>Ghana 2008</labl>
  </catgry>
  <catgry>
    <catValu>28804</catValu>
    <labl>Ghana 2003</labl>
  </catgry>
  <catgry>
    <catValu>28803</catValu>
    <labl>Ghana 1998</labl>
  </catgry>
  <catgry>
    <catValu>28802</catValu>
    <labl>Ghana 1993</labl>
  </catgry>
  <catgry>
    <catValu>28801</catValu>
    <labl>Ghana 1988</labl>
  </catgry>
  <catgry>
    <catValu>23104</catValu>
    <labl>Ethiopia 2016</labl>
  </catgry>
  <catgry>
    <catValu>23103</catValu>
    <labl>Ethiopia 2011</labl>
  </catgry>
  <catgry>
    <catValu>23102</catValu>
    <labl>Ethiopia 2005</labl>
  </catgry>
  <catgry>
    <catValu>23101</catValu>
    <labl>Ethiopia 2000</labl>
  </catgry>
  <catgry>
    <catValu>20404</catValu>
    <labl>Benin 2011</labl>
  </catgry>
  <catgry>
    <catValu>20403</catValu>
    <labl>Benin 2006</labl>
  </catgry>
  <catgry>
    <catValu>20402</catValu>
    <labl>Benin 2001</labl>
  </catgry>
  <catgry>
    <catValu>83401</catValu>
    <labl>Tanzania 1991</labl>
  </catgry>
  <catgry>
    <catValu>83402</catValu>
    <labl>Tanzania 1996</labl>
  </catgry>
  <catgry>
    <catValu>83403</catValu>
    <labl>Tanzania 1999</labl>
  </catgry>
  <catgry>
    <catValu>83404</catValu>
    <labl>Tanzania 2004</labl>
  </catgry>
  <catgry>
    <catValu>83405</catValu>
    <labl>Tanzania 2010</labl>
  </catgry>
  <catgry>
    <catValu>83406</catValu>
    <labl>Tanzania 2015</labl>
  </catgry>
  <catgry>
    <catValu>85401</catValu>
    <labl>Burkina Faso 1993</labl>
  </catgry>
  <catgry>
    <catValu>85402</catValu>
    <labl>Burkina Faso 1998</labl>
  </catgry>
  <catgry>
    <catValu>85403</catValu>
    <labl>Burkina Faso 2003</labl>
  </catgry>
  <catgry>
    <catValu>85404</catValu>
    <labl>Burkina Faso 2010</labl>
  </catgry>
  <catgry>
    <catValu>88701</catValu>
    <labl>Yemen 1991-92</labl>
  </catgry>
  <catgry>
    <catValu>88702</catValu>
    <labl>Yemen 2013</labl>
  </catgry>
  <catgry>
    <catValu>89401</catValu>
    <labl>Zambia 1992</labl>
  </catgry>
  <catgry>
    <catValu>89402</catValu>
    <labl>Zambia 1996</labl>
  </catgry>
  <catgry>
    <catValu>89403</catValu>
    <labl>Zambia 2001</labl>
  </catgry>
  <catgry>
    <catValu>89404</catValu>
    <labl>Zambia 2007</labl>
  </catgry>
  <catgry>
    <catValu>89405</catValu>
    <labl>Zambia 2013</labl>
  </catgry>
  <catgry>
    <catValu>40007</catValu>
    <labl>Jordan 2017</labl>
  </catgry>
  <catgry>
    <catValu>52405</catValu>
    <labl>Nepal 2016</labl>
  </catgry>
  <catgry>
    <catValu>58604</catValu>
    <labl>Pakistan 2017-18</labl>
  </catgry>
  <catgry>
    <catValu>71002</catValu>
    <labl>South Africa 2016</labl>
  </catgry>
  <txt>SAMPLESTR is a string variable that identifies the DHS sample from which the case is drawn.  Each sample receives a unique 5-digit code.  The first three digits are ISO/UN codes used in COUNTRY, and the last two digits identify the sample within the country, ordered by survey year.

The related variable SAMPLE is a numeric variable that identifies the DHS sample with the same 5-digit code.</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="M_COUNTRY" name="M_COUNTRY" files="M" intrvl="discrete">
  <labl>Country</labl>
  <imputation>Country</imputation>
  <security>Country</security>
  <embargo>Country</embargo>
  <respUnit>Country</respUnit>
  <catgry>
    <catValu>001</catValu>
    <labl>Model</labl>
  </catgry>
  <catgry>
    <catValu>004</catValu>
    <labl>Afghanistan</labl>
  </catgry>
  <catgry>
    <catValu>024</catValu>
    <labl>Angola</labl>
  </catgry>
  <catgry>
    <catValu>050</catValu>
    <labl>Bangladesh</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>Myanmar</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>Burundi</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>Cambodia</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Cameroon</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>Chad</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>Congo Democratic Republic</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>Benin</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>Ethiopia</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>Ghana</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>Guatemala</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>Guinea</labl>
  </catgry>
  <catgry>
    <catValu>356</catValu>
    <labl>India</labl>
  </catgry>
  <catgry>
    <catValu>384</catValu>
    <labl>Cote d'Ivoire</labl>
  </catgry>
  <catgry>
    <catValu>400</catValu>
    <labl>Jordan</labl>
  </catgry>
  <catgry>
    <catValu>404</catValu>
    <labl>Kenya</labl>
  </catgry>
  <catgry>
    <catValu>426</catValu>
    <labl>Lesotho</labl>
  </catgry>
  <catgry>
    <catValu>450</catValu>
    <labl>Madagascar</labl>
  </catgry>
  <catgry>
    <catValu>454</catValu>
    <labl>Malawi</labl>
  </catgry>
  <catgry>
    <catValu>466</catValu>
    <labl>Mali</labl>
  </catgry>
  <catgry>
    <catValu>504</catValu>
    <labl>Morocco</labl>
  </catgry>
  <catgry>
    <catValu>508</catValu>
    <labl>Mozambique</labl>
  </catgry>
  <catgry>
    <catValu>516</catValu>
    <labl>Namibia</labl>
  </catgry>
  <catgry>
    <catValu>524</catValu>
    <labl>Nepal</labl>
  </catgry>
  <catgry>
    <catValu>562</catValu>
    <labl>Niger</labl>
  </catgry>
  <catgry>
    <catValu>566</catValu>
    <labl>Nigeria</labl>
  </catgry>
  <catgry>
    <catValu>586</catValu>
    <labl>Pakistan</labl>
  </catgry>
  <catgry>
    <catValu>604</catValu>
    <labl>Peru</labl>
  </catgry>
  <catgry>
    <catValu>646</catValu>
    <labl>Rwanda</labl>
  </catgry>
  <catgry>
    <catValu>686</catValu>
    <labl>Senegal</labl>
  </catgry>
  <catgry>
    <catValu>710</catValu>
    <labl>South Africa</labl>
  </catgry>
  <catgry>
    <catValu>716</catValu>
    <labl>Zimbabwe</labl>
  </catgry>
  <catgry>
    <catValu>729</catValu>
    <labl>Sudan</labl>
  </catgry>
  <catgry>
    <catValu>788</catValu>
    <labl>Tunisia</labl>
  </catgry>
  <catgry>
    <catValu>792</catValu>
    <labl>Turkey</labl>
  </catgry>
  <catgry>
    <catValu>800</catValu>
    <labl>Uganda</labl>
  </catgry>
  <catgry>
    <catValu>818</catValu>
    <labl>Egypt</labl>
  </catgry>
  <catgry>
    <catValu>834</catValu>
    <labl>Tanzania</labl>
  </catgry>
  <catgry>
    <catValu>854</catValu>
    <labl>Burkina Faso</labl>
  </catgry>
  <catgry>
    <catValu>887</catValu>
    <labl>Yemen</labl>
  </catgry>
  <catgry>
    <catValu>894</catValu>
    <labl>Zambia</labl>
  </catgry>
  <txt>COUNTRY reports the country where the survey was fielded. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization).</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_YEAR" name="M_YEAR" files="M" intrvl="discrete">
  <labl>Year of sample</labl>
  <imputation>Year of sample</imputation>
  <security>Year of sample</security>
  <embargo>Year of sample</embargo>
  <respUnit>Year of sample</respUnit>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>2017</labl>
  </catgry>
  <catgry>
    <catValu>2018</catValu>
    <labl>2018</labl>
  </catgry>
  <txt>YEAR reports the year when the survey was fielded, as a four-digit variable. In some cases, the DHS was conducted over the course of two years (e.g., Ethiopia 2010-2011), but YEAR always gives a single year.  For full information about the timing of the surveys, please consult the IPUMS-DHS Sample Descriptions page.</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_IDHSPID" name="M_IDHSPID" files="M" intrvl="contin">
  <labl>Unique cross-sample respondent identifier</labl>
  <imputation>Unique cross-sample respondent identifier</imputation>
  <security>Unique cross-sample respondent identifier</security>
  <embargo>Unique cross-sample respondent identifier</embargo>
  <respUnit>Unique cross-sample respondent identifier</respUnit>
  <txt>IDHSPID is an identifying number unique to person in a given sample.  It is a concatenation of SAMPLE and CASEID.</txt>
  <codInstr>IDHSPID is a 22-character string variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="M_IDHSHID" name="M_IDHSHID" files="M" intrvl="contin">
  <labl>Unique cross-sample household identifier</labl>
  <imputation>Unique cross-sample household identifier</imputation>
  <security>Unique cross-sample household identifier</security>
  <embargo>Unique cross-sample household identifier</embargo>
  <respUnit>Unique cross-sample household identifier</respUnit>
  <txt>IDHSHID is an identifying number unique to a specific household in a given sample.  It is a concatenation of SAMPLE, CLUSTERNO and HHNUM.</txt>
  <codInstr>IDHSHID is a 19-character string variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="M_DHSID" name="M_DHSID" files="M" intrvl="contin">
  <labl>Key to link DHS clusters to context data (string)</labl>
  <imputation>Key to link DHS clusters to context data (string)</imputation>
  <security>Key to link DHS clusters to context data (string)</security>
  <embargo>Key to link DHS clusters to context data (string)</embargo>
  <respUnit>Key to link DHS clusters to context data (string)</respUnit>
  <txt>DHSID is the 14-character DHS identification code for DHS clusters constructed from the 2-character country code, the 4-digit survey year, and the 8-digit cluster identification number. DHSID is available for every IPUMS-DHS sample and uniquely identifies clusters across samples. It serves as the unique linking key between IPUMS-DHS microdata and DHS cluster shapefiles.</txt>
  <codInstr>This is a 14-digit numeric variable with 0 implied decimal places</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="M_IDHSPSU" name="M_IDHSPSU" files="M" intrvl="discrete">
  <labl>Unique sample-case PSU identifier</labl>
  <imputation>Unique sample-case PSU identifier</imputation>
  <security>Unique sample-case PSU identifier</security>
  <embargo>Unique sample-case PSU identifier</embargo>
  <respUnit>Unique sample-case PSU identifier</respUnit>
  <txt>IDHSPSU is an identifying number unique to the primary sampling unit in a given sample.  This variable is a concatenation of SAMPLE (which uniquely identifies each country- and year-specific sample) and PSU (the numbered primary sampling units within a given sample).</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_IDHSSTRATA" name="M_IDHSSTRATA" files="M" intrvl="discrete">
  <labl>Unique cross-sample sampling strata</labl>
  <imputation>Unique cross-sample sampling strata</imputation>
  <security>Unique cross-sample sampling strata</security>
  <embargo>Unique cross-sample sampling strata</embargo>
  <respUnit>Unique cross-sample sampling strata</respUnit>
  <txt>IDHSSTRATA is an identifying number unique to the sampling strata in a given sample.  This variable is a concatenation of SAMPLE (which uniquely identifies each country- and year-specific sample) and STRATA (groups of geographically similar areas, from which primary sampling units are drawn).</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_MCASEID" name="M_MCASEID" files="M" intrvl="contin">
  <labl>Sample-specific respondent identifier</labl>
  <imputation>Sample-specific respondent identifier</imputation>
  <security>Sample-specific respondent identifier</security>
  <embargo>Sample-specific respondent identifier</embargo>
  <respUnit>Sample-specific respondent identifier</respUnit>
  <txt>MCASEID is the unique identifier for each man in the men's sample for a given sample year.  Using MCASEID and CLUSTERNOMN (MV001), analysts can link IPUMS-DHS data to the original DHS datasets to attach variables that are not currently available in IPUMS-DHS.  For example, researchers can use MCASEID and CLUSTERNOMN (MV001) to link variables from the IPUMS-DHS with other variables from the men's file to merge country-specific variables, or to the Household or Couples Recode file to attach variables that are not yet part of IPUMS-DHS. 

In most samples, users can identify men who are in the same household by using the first 12 characters of MCASEID (and CLUSTERNOMN (MV001)), as this indicates a unique household identifier.  

MCASEID is created by The DHS Program using the variables CLUSTERNOMN (MV001), HHNUMMN (MV002), and LINENOMN (MV003). The last three characters indicate the male respondent's line number in the household file.

For instructions on how to create links between IPUMS-DHS data and DHS source data, see the User Note on "Merging IDHS and DHS Data." [URL omitted from DDI.]</txt>
  <codInstr>MCASEID is a 18-character string variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="M_HHID" name="M_HHID" files="M" intrvl="contin">
  <labl>Sample-specific household identifier</labl>
  <imputation>Sample-specific household identifier</imputation>
  <security>Sample-specific household identifier</security>
  <embargo>Sample-specific household identifier</embargo>
  <respUnit>Sample-specific household identifier</respUnit>
  <txt>HHID is an identifying number unique to each household in a given sample.</txt>
  <codInstr>HHID is a 15-character string variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="M_PSUMN" name="M_PSUMN" files="M" intrvl="contin">
  <labl>Sample-specific primary sampling unit</labl>
  <imputation>Sample-specific primary sampling unit</imputation>
  <security>Sample-specific primary sampling unit</security>
  <embargo>Sample-specific primary sampling unit</embargo>
  <respUnit>Sample-specific primary sampling unit</respUnit>
  <txt>PSUMN (MV021) is the variable indicating the  primary sampling unit  or PSU, for men's samples. It should be used along with the variable DOMAINMN (MV023) to account for the impact of the sample design clustering on the variance estimates and standard errors. 

The DHS Recode Manuals for Phase 2 forward describe this variable as follows:

 Primary sampling unit is a number assigned to sample points to identify the primary sampling units for use in the calculation of sampling errors. This variable is usually the same as the cluster number and/or the ultimate area unit, but may differ if the sample design required a multistage selection process.

See the notes on DHS webpage "Using sample weights" [URL omitted from DDI.] on variance estimation for additional information.</txt>
  <codInstr>PSUMN (MV021) is a 6-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_STRATAMN" name="M_STRATAMN" files="M" intrvl="contin">
  <labl>Sample-specific sampling strata</labl>
  <imputation>Sample-specific sampling strata</imputation>
  <security>Sample-specific sampling strata</security>
  <embargo>Sample-specific sampling strata</embargo>
  <respUnit>Sample-specific sampling strata</respUnit>
  <txt>For men's samples, STRATAMN (MV022) defines the pairings or groupings of primary sampling units used in the calculation of sampling errors when using the Taylor series expansion method.

In two-stage sampling, The DHS Program may first group small geographic areas, such as enumeration areas from the last census, into broad strata defined jointly by region and urban versus rural areas within a region. In the second stage of sampling, a subset of geographic areas (sample clusters) are selected as the sites for interviewing from within defined strata.

STRATAMN is not the same as DOMAINMN (MV023). (Domains represent statistically representative areas for which valid summary statistics can be calculated for a survey, such as provinces and national urban versus rural combined areas, as described in the survey's final report.) The DHS Program recommends using STRATAMN along with the variable PSUMN (MV021) to account for the impact of the sample design clustering on the estimates of variance and standard errors, for men's samples.

Users are strongly encouraged to review the FAQ section provided by The DHS Program on specifying stratification and clustering here [URL omitted from DDI.], using Stata or SPSS to account for sample design.</txt>
  <codInstr>STRATAMN (MV022) is a 5-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_DOMAINMN" name="M_DOMAINMN" files="M" intrvl="discrete">
  <labl>Sample-specific domain</labl>
  <imputation>Sample-specific domain</imputation>
  <security>Sample-specific domain</security>
  <embargo>Sample-specific domain</embargo>
  <respUnit>Sample-specific domain</respUnit>
  <catgry>
    <catValu>99999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For men's samples, DOMAINMN (MV023) defines the basic geographic units for which the sample was designed to yield representative estimates.

The DHS Recode Manual describes DOMAIN as follows:

 For example, if the sample was designed to be self-weighting within region, this variable would define those regions; if the sample was designed to be self-weighting within major urban areas, other urban areas and rural areas, this variable would define the major urban, other urban and rural areas. If the sample is self-weighted at the national level, this variable is code 0.

When national estimates are desired and analyzing men's samples, users should include survey design variables, including DOMAINMN (MV023) and PSUMN (MV021), and the correct sample weights (e.g., PERWEIGHTMN (MV005)) to adjust sampling errors to account for DHS' sample design.

In most countries, DOMAIN (or DOMAINMN for men's samples) defines the stratification for the sample (generally either regional or national). However, some countries use two levels of stratification, such as region and urban/rural areas. Users should check for the correct stratification design by consulting the Final Report(s) for the sample(s) of interest (particularly the Introduction and Sample Design sections and Implementation Appendix).</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_HHNUMMN" name="M_HHNUMMN" files="M" intrvl="contin">
  <labl>Household number in cluster</labl>
  <imputation>Household number in cluster</imputation>
  <security>Household number in cluster</security>
  <embargo>Household number in cluster</embargo>
  <respUnit>Household number in cluster</respUnit>
  <txt>HHNUMMN (MV002) is the number identifying the household in which the male respondent was interviewed, within each men's sample.   

To identify unique households in most samples, researchers must use HHNUMMN with CLUSTERNOMN (MV001).  

For most samples, HHNUMMN (MV002) and CLUSTERNOMN (MV001) can be used to merge IPUMS-DHS data from the men's file to DHS Household Recode files, to incorporate household variables not yet available in the IPUMS-DHS.  However, in some household files, HHNUM (V002) and CLUSTERNO (V001) do not uniquely identify households in the DHS Household Recode file. 

For information about the IPUMS-DHS samples where HHNUM and CLUSTERNO are not sufficient to uniquely identify households, and for guidance on what further steps to take for linking files in such cases, please consult the User Note on Linking. [URL omitted from DDI.]</txt>
  <codInstr>HHNUMMN is a 4-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_CLUSTERNOMN" name="M_CLUSTERNOMN" files="M" intrvl="contin">
  <labl>Sample-specific cluster number</labl>
  <imputation>Sample-specific cluster number</imputation>
  <security>Sample-specific cluster number</security>
  <embargo>Sample-specific cluster number</embargo>
  <respUnit>Sample-specific cluster number</respUnit>
  <txt>CLUSTERNOMN (MV001) reports the cluster number for de facto residence of the man in the men's sample.

According to the DHS Sampling Manual, "A cluster is the smallest geographical survey statistical unit for DHS surveys. It consists of a number of adjacent households in a geographical area. For DHS surveys, a cluster corresponds either to an [enumeration area], or a segment of a large [enumeration area]." The most recent census for a country, which divided all territory into enumeration areas to ensure full coverage of the population, often provides the sampling frame for a DHS survey.

CLUSTERNOMN is the variable indicating the  primary sampling unit  or PSU. It should be used along with the variable STRATAMN (MV022) to account for the impact of the sample design clustering on the estimates of variance and standard errors.

See the notes on DHS webpage  "Use sample weights" [URL omitted from DDI.] on variance estimation for additional information.

CLUSTERNOMN (MV001) and HHNUMMN (MV002) can be used to merge the men's sample file to the household recode file. See the DHS webpage  Merging Datasets [URL omitted from DDI.] on variables to be used for linking data sets.</txt>
  <codInstr>CLUSTERNOMN is an 8 digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_ULTAREAUNITMN" name="M_ULTAREAUNITMN" files="M" intrvl="contin">
  <labl>Sample-specific ultimate area unit</labl>
  <imputation>Sample-specific ultimate area unit</imputation>
  <security>Sample-specific ultimate area unit</security>
  <embargo>Sample-specific ultimate area unit</embargo>
  <respUnit>Sample-specific ultimate area unit</respUnit>
  <txt>For men's samples, ULTAREAUNITMN (MV004) reports the ultimate area unit for the man's de facto residence.

According to the DHS recode manuals, ULTAREAUNIT 

is a number assigned to each sample point to identify the ultimate area units in the collection of data. It is usually the same as the cluster number [CLUSTERNO (V001)], but may be a sequentially numbered variable for samples with a more complicated structure.


ULTAREAUNITMN can be used to account for the impact of the sampling design clustering on the variance estimates and standard errors.</txt>
  <codInstr>ULTAREAUNITMN (MV004) is a 4-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_LINENOMN" name="M_LINENOMN" files="M" intrvl="discrete">
  <labl>Household line number of man respondent</labl>
  <imputation>Household line number of man respondent</imputation>
  <security>Household line number of man respondent</security>
  <embargo>Household line number of man respondent</embargo>
  <respUnit>Household line number of man respondent</respUnit>
  <qstn>
    <qstnLit>NAME OF HUSBAND ___

LINE NUMBER OF ELIGIBLE MAN ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <txt>LINENOMN (MV003) reports the number of the line on which the DHS interviewer recorded the man's name, when filling out the household schedule. After asking "Please give me the names of the persons who usually live in your household or are staying with you now, starting with the head of the household," the interviewer recorded each name in turn on successively numbered lines printed on the household survey form.</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_LINENOHHRESP" name="M_LINENOHHRESP" files="M" intrvl="discrete">
  <labl>Respondent's line number (answering Household questionnaire)</labl>
  <imputation>Respondent's line number (answering Household questionnaire)</imputation>
  <security>Respondent's line number (answering Household questionnaire)</security>
  <embargo>Respondent's line number (answering Household questionnaire)</embargo>
  <respUnit>Respondent's line number (answering Household questionnaire)</respUnit>
  <qstn>
    <qstnLit>1) NUMBER</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Not in household</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>LINENOHHRESP (HV003) reports the line number in the household schedule of the person responding to the questions asked in the household questionnaire. If nobody in the household was available for the interview, this variable is coded "00."</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PERWEIGHTMN" name="M_PERWEIGHTMN" files="M" dcml="6" intrvl="contin">
  <labl>Men's sample weight</labl>
  <imputation>Men's sample weight</imputation>
  <security>Men's sample weight</security>
  <embargo>Men's sample weight</embargo>
  <respUnit>Men's sample weight</respUnit>
  <txt>PERWEIGHTMN (MV005) is an 8-digit variable with 6 implied decimal places, which should be used as a weighting factor to produce representative numbers accurately describing the surveyed population in men's samples.

While the DHS Recode Manuals direct the researcher to divide the original weight variable by 1,000,000 before applying the weighting factor to the original DHS data files, it is not necessary to modify the value of PERWEIGHTMN before applying this weight to cases in IPUMS-DHS.

PERWEIGHTMN should be used to weight nearly all tabulations made using IPUMS-DHS data from the men's samples.

Note: The 6 implied decimal places in PERWEIGHTMN mean that the last six digits of the eight-digit variable are decimal digits, but there is no actual decimal in the data.</txt>
  <codInstr>PERWEIGHTMN is an 8-digit numeric variable with 6 implied decimal places. See the variable description for directions on the use of PERWEIGHTMN.</codInstr>
  <concept>
    <title>Weights and subsample selection Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_INTYEARMN" name="M_INTYEARMN" files="M" intrvl="discrete">
  <labl>Year of interview</labl>
  <imputation>Year of interview</imputation>
  <security>Year of interview</security>
  <embargo>Year of interview</embargo>
  <respUnit>Year of interview</respUnit>
  <qstn>
    <qstnLit>INTERVIEWER VISITS:

INTERVIEWER:
(REPEAT FOR SECOND AND THIRD INTERVIEWERS)
DATE__
DAY__
MONTH__
YEAR__
INTERVIEWER NAME___
RESULTS___

NEXT VISIT [FOR INTERVIEWERS 1 AND 2]:
DATE__
TIME__

FINAL VISIT:
DAY__
MONTH__
YEAR 19__
INTERVIEWER__
RESULT__</qstnLit>
  </qstn>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>2017</labl>
  </catgry>
  <catgry>
    <catValu>2018</catValu>
    <labl>2018</labl>
  </catgry>
  <txt>INTYEARMN (MV007) reports the year when the interview with the male respondent took place.

The dates reported in INTYEARMN are based on the Gregorian calendar.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_MONTHINTMN" name="M_MONTHINTMN" files="M" intrvl="discrete">
  <labl>Month of interview</labl>
  <imputation>Month of interview</imputation>
  <security>Month of interview</security>
  <embargo>Month of interview</embargo>
  <respUnit>Month of interview</respUnit>
  <qstn>
    <qstnLit>INTERVIEWER VISITS:

INTERVIEWER:
(REPEAT FOR SECOND AND THIRD INTERVIEWERS)
DATE__
DAY__
MONTH__
YEAR__
INTERVIEWER NAME___
RESULTS___

NEXT VISIT [FOR INTERVIEWERS 1 AND 2]:
DATE__
TIME__

FINAL VISIT:
DAY__
MONTH__
YEAR 19__
INTERVIEWER__
RESULT__</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <txt>MONTHINTMN (MV006) reports the month when the interview with the male respondent took place.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_INTDAYMN" name="M_INTDAYMN" files="M" intrvl="discrete">
  <labl>Day of interview</labl>
  <imputation>Day of interview</imputation>
  <security>Day of interview</security>
  <embargo>Day of interview</embargo>
  <respUnit>Day of interview</respUnit>
  <qstn>
    <qstnLit>INTERVIEWER VISITS:

INTERVIEWER:
(REPEAT FOR SECOND AND THIRD INTERVIEWERS)
DATE__
DAY__
MONTH__
YEAR__
INTERVIEWER NAME___
RESULTS___

NEXT VISIT [FOR INTERVIEWERS 1 AND 2]:
DATE__
TIME__

FINAL VISIT:
DAY__
MONTH__
YEAR 19__
INTERVIEWER__
RESULT__</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <txt>INTDAYMN (MV016) reports the day of the month on which the interview with the male respondent took place. INTDAYMN uses dates expressed in the Gregorian calendar.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_INTDATECMCMN" name="M_INTDATECMCMN" files="M" intrvl="contin">
  <labl>Century month date of interview</labl>
  <imputation>Century month date of interview</imputation>
  <security>Century month date of interview</security>
  <embargo>Century month date of interview</embargo>
  <respUnit>Century month date of interview</respUnit>
  <qstn>
    <qstnLit>INTERVIEWER VISITS:

INTERVIEWER:
(REPEAT FOR SECOND AND THIRD INTERVIEWERS)
DATE__
DAY__
MONTH__
YEAR__
INTERVIEWER NAME___
RESULTS___

NEXT VISIT [FOR INTERVIEWERS 1 AND 2]:
DATE__
TIME__

FINAL VISIT:
DAY__
MONTH__
YEAR 19__
INTERVIEWER__
RESULT__</qstnLit>
  </qstn>
  <txt>INTDATECMCMN (MV008) reports century month code for the date on which the interview with the male respondent took place.

Century month codes (CMC) are particularly useful for checking the consistency of dates, calculating intervals between events, and imputing dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year - 1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006). [URL omitted from DDI.].

The century month codes reported in INTDATECMCMN are calculated using the Gregorian calculator.</txt>
  <codInstr>INTDATECMCMN (V008) is a 4-digit variable.</codInstr>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_INTSTARTCMC" name="M_INTSTARTCMC" files="M" intrvl="discrete">
  <labl>Century month code (CMC) for start of survey</labl>
  <imputation>Century month code (CMC) for start of survey</imputation>
  <security>Century month code (CMC) for start of survey</security>
  <embargo>Century month code (CMC) for start of survey</embargo>
  <respUnit>Century month code (CMC) for start of survey</respUnit>
  <catgry>
    <catValu>1415</catValu>
    <labl>1415</labl>
  </catgry>
  <catgry>
    <catValu>1414</catValu>
    <labl>1414</labl>
  </catgry>
  <catgry>
    <catValu>1399</catValu>
    <labl>1399</labl>
  </catgry>
  <catgry>
    <catValu>1397</catValu>
    <labl>1397</labl>
  </catgry>
  <catgry>
    <catValu>1408</catValu>
    <labl>1408</labl>
  </catgry>
  <catgry>
    <catValu>1402</catValu>
    <labl>1402</labl>
  </catgry>
  <catgry>
    <catValu>1398</catValu>
    <labl>1398</labl>
  </catgry>
  <catgry>
    <catValu>1393</catValu>
    <labl>1393</labl>
  </catgry>
  <catgry>
    <catValu>1392</catValu>
    <labl>1392</labl>
  </catgry>
  <catgry>
    <catValu>1391</catValu>
    <labl>1391</labl>
  </catgry>
  <catgry>
    <catValu>1390</catValu>
    <labl>1390</labl>
  </catgry>
  <catgry>
    <catValu>1388</catValu>
    <labl>1388</labl>
  </catgry>
  <catgry>
    <catValu>1387</catValu>
    <labl>1387</labl>
  </catgry>
  <catgry>
    <catValu>1386</catValu>
    <labl>1386</labl>
  </catgry>
  <catgry>
    <catValu>1381</catValu>
    <labl>1381</labl>
  </catgry>
  <catgry>
    <catValu>1379</catValu>
    <labl>1379</labl>
  </catgry>
  <catgry>
    <catValu>1378</catValu>
    <labl>1378</labl>
  </catgry>
  <catgry>
    <catValu>1377</catValu>
    <labl>1377</labl>
  </catgry>
  <catgry>
    <catValu>1374</catValu>
    <labl>1374</labl>
  </catgry>
  <catgry>
    <catValu>1373</catValu>
    <labl>1373</labl>
  </catgry>
  <catgry>
    <catValu>1372</catValu>
    <labl>1372</labl>
  </catgry>
  <catgry>
    <catValu>1369</catValu>
    <labl>1369</labl>
  </catgry>
  <catgry>
    <catValu>1365</catValu>
    <labl>1365</labl>
  </catgry>
  <catgry>
    <catValu>1364</catValu>
    <labl>1364</labl>
  </catgry>
  <catgry>
    <catValu>1361</catValu>
    <labl>1361</labl>
  </catgry>
  <catgry>
    <catValu>1358</catValu>
    <labl>1358</labl>
  </catgry>
  <catgry>
    <catValu>1355</catValu>
    <labl>1355</labl>
  </catgry>
  <catgry>
    <catValu>1354</catValu>
    <labl>1354</labl>
  </catgry>
  <catgry>
    <catValu>1353</catValu>
    <labl>1353</labl>
  </catgry>
  <catgry>
    <catValu>1350</catValu>
    <labl>1350</labl>
  </catgry>
  <catgry>
    <catValu>1346</catValu>
    <labl>1346</labl>
  </catgry>
  <catgry>
    <catValu>1344</catValu>
    <labl>1344</labl>
  </catgry>
  <catgry>
    <catValu>1339</catValu>
    <labl>1339</labl>
  </catgry>
  <catgry>
    <catValu>1338</catValu>
    <labl>1338</labl>
  </catgry>
  <catgry>
    <catValu>1333</catValu>
    <labl>1333</labl>
  </catgry>
  <catgry>
    <catValu>1332</catValu>
    <labl>1332</labl>
  </catgry>
  <catgry>
    <catValu>1330</catValu>
    <labl>1330</labl>
  </catgry>
  <catgry>
    <catValu>1329</catValu>
    <labl>1329</labl>
  </catgry>
  <catgry>
    <catValu>1328</catValu>
    <labl>1328</labl>
  </catgry>
  <catgry>
    <catValu>1327</catValu>
    <labl>1327</labl>
  </catgry>
  <catgry>
    <catValu>1326</catValu>
    <labl>1326</labl>
  </catgry>
  <catgry>
    <catValu>1325</catValu>
    <labl>1325</labl>
  </catgry>
  <catgry>
    <catValu>1320</catValu>
    <labl>1320</labl>
  </catgry>
  <catgry>
    <catValu>1318</catValu>
    <labl>1318</labl>
  </catgry>
  <catgry>
    <catValu>1307</catValu>
    <labl>1307</labl>
  </catgry>
  <catgry>
    <catValu>1305</catValu>
    <labl>1305</labl>
  </catgry>
  <catgry>
    <catValu>1302</catValu>
    <labl>1302</labl>
  </catgry>
  <catgry>
    <catValu>1299</catValu>
    <labl>1299</labl>
  </catgry>
  <catgry>
    <catValu>1296</catValu>
    <labl>1296</labl>
  </catgry>
  <catgry>
    <catValu>1290</catValu>
    <labl>1290</labl>
  </catgry>
  <catgry>
    <catValu>1288</catValu>
    <labl>1288</labl>
  </catgry>
  <catgry>
    <catValu>1287</catValu>
    <labl>1287</labl>
  </catgry>
  <catgry>
    <catValu>1285</catValu>
    <labl>1285</labl>
  </catgry>
  <catgry>
    <catValu>1283</catValu>
    <labl>1283</labl>
  </catgry>
  <catgry>
    <catValu>1281</catValu>
    <labl>1281</labl>
  </catgry>
  <catgry>
    <catValu>1280</catValu>
    <labl>1280</labl>
  </catgry>
  <catgry>
    <catValu>1277</catValu>
    <labl>1277</labl>
  </catgry>
  <catgry>
    <catValu>1274</catValu>
    <labl>1274</labl>
  </catgry>
  <catgry>
    <catValu>1273</catValu>
    <labl>1273</labl>
  </catgry>
  <catgry>
    <catValu>1271</catValu>
    <labl>1271</labl>
  </catgry>
  <catgry>
    <catValu>1269</catValu>
    <labl>1269</labl>
  </catgry>
  <catgry>
    <catValu>1268</catValu>
    <labl>1268</labl>
  </catgry>
  <catgry>
    <catValu>1264</catValu>
    <labl>1264</labl>
  </catgry>
  <catgry>
    <catValu>1262</catValu>
    <labl>1262</labl>
  </catgry>
  <catgry>
    <catValu>1258</catValu>
    <labl>1258</labl>
  </catgry>
  <catgry>
    <catValu>1257</catValu>
    <labl>1257</labl>
  </catgry>
  <catgry>
    <catValu>1255</catValu>
    <labl>1255</labl>
  </catgry>
  <catgry>
    <catValu>1250</catValu>
    <labl>1250</labl>
  </catgry>
  <catgry>
    <catValu>1249</catValu>
    <labl>1249</labl>
  </catgry>
  <catgry>
    <catValu>1248</catValu>
    <labl>1248</labl>
  </catgry>
  <catgry>
    <catValu>1247</catValu>
    <labl>1247</labl>
  </catgry>
  <catgry>
    <catValu>1246</catValu>
    <labl>1246</labl>
  </catgry>
  <catgry>
    <catValu>1244</catValu>
    <labl>1244</labl>
  </catgry>
  <catgry>
    <catValu>1243</catValu>
    <labl>1243</labl>
  </catgry>
  <catgry>
    <catValu>1242</catValu>
    <labl>1242</labl>
  </catgry>
  <catgry>
    <catValu>1241</catValu>
    <labl>1241</labl>
  </catgry>
  <catgry>
    <catValu>1240</catValu>
    <labl>1240</labl>
  </catgry>
  <catgry>
    <catValu>1239</catValu>
    <labl>1239</labl>
  </catgry>
  <catgry>
    <catValu>1231</catValu>
    <labl>1231</labl>
  </catgry>
  <catgry>
    <catValu>1223</catValu>
    <labl>1223</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>1220</labl>
  </catgry>
  <catgry>
    <catValu>1213</catValu>
    <labl>1213</labl>
  </catgry>
  <catgry>
    <catValu>1209</catValu>
    <labl>1209</labl>
  </catgry>
  <catgry>
    <catValu>1207</catValu>
    <labl>1207</labl>
  </catgry>
  <catgry>
    <catValu>1206</catValu>
    <labl>1206</labl>
  </catgry>
  <catgry>
    <catValu>1202</catValu>
    <labl>1202</labl>
  </catgry>
  <catgry>
    <catValu>1199</catValu>
    <labl>1199</labl>
  </catgry>
  <catgry>
    <catValu>1197</catValu>
    <labl>1197</labl>
  </catgry>
  <catgry>
    <catValu>1193</catValu>
    <labl>1193</labl>
  </catgry>
  <catgry>
    <catValu>1191</catValu>
    <labl>1191</labl>
  </catgry>
  <catgry>
    <catValu>1187</catValu>
    <labl>1187</labl>
  </catgry>
  <catgry>
    <catValu>1185</catValu>
    <labl>1185</labl>
  </catgry>
  <catgry>
    <catValu>1184</catValu>
    <labl>1184</labl>
  </catgry>
  <catgry>
    <catValu>1179</catValu>
    <labl>1179</labl>
  </catgry>
  <catgry>
    <catValu>1178</catValu>
    <labl>1178</labl>
  </catgry>
  <catgry>
    <catValu>1177</catValu>
    <labl>1177</labl>
  </catgry>
  <catgry>
    <catValu>1173</catValu>
    <labl>1173</labl>
  </catgry>
  <catgry>
    <catValu>1170</catValu>
    <labl>1170</labl>
  </catgry>
  <catgry>
    <catValu>1167</catValu>
    <labl>1167</labl>
  </catgry>
  <catgry>
    <catValu>1165</catValu>
    <labl>1165</labl>
  </catgry>
  <catgry>
    <catValu>1164</catValu>
    <labl>1164</labl>
  </catgry>
  <catgry>
    <catValu>1163</catValu>
    <labl>1163</labl>
  </catgry>
  <catgry>
    <catValu>1160</catValu>
    <labl>1160</labl>
  </catgry>
  <catgry>
    <catValu>1159</catValu>
    <labl>1159</labl>
  </catgry>
  <catgry>
    <catValu>1158</catValu>
    <labl>1158</labl>
  </catgry>
  <catgry>
    <catValu>1153</catValu>
    <labl>1153</labl>
  </catgry>
  <catgry>
    <catValu>1151</catValu>
    <labl>1151</labl>
  </catgry>
  <catgry>
    <catValu>1143</catValu>
    <labl>1143</labl>
  </catgry>
  <catgry>
    <catValu>1135</catValu>
    <labl>1135</labl>
  </catgry>
  <catgry>
    <catValu>1134</catValu>
    <labl>1134</labl>
  </catgry>
  <catgry>
    <catValu>1127</catValu>
    <labl>1127</labl>
  </catgry>
  <catgry>
    <catValu>1125</catValu>
    <labl>1125</labl>
  </catgry>
  <catgry>
    <catValu>1124</catValu>
    <labl>1124</labl>
  </catgry>
  <catgry>
    <catValu>1118</catValu>
    <labl>1118</labl>
  </catgry>
  <catgry>
    <catValu>1116</catValu>
    <labl>1116</labl>
  </catgry>
  <catgry>
    <catValu>1115</catValu>
    <labl>1115</labl>
  </catgry>
  <catgry>
    <catValu>1113</catValu>
    <labl>1113</labl>
  </catgry>
  <catgry>
    <catValu>1111</catValu>
    <labl>1111</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>1110</labl>
  </catgry>
  <catgry>
    <catValu>1109</catValu>
    <labl>1109</labl>
  </catgry>
  <catgry>
    <catValu>1108</catValu>
    <labl>1108</labl>
  </catgry>
  <catgry>
    <catValu>1107</catValu>
    <labl>1107</labl>
  </catgry>
  <catgry>
    <catValu>1105</catValu>
    <labl>1105</labl>
  </catgry>
  <catgry>
    <catValu>1103</catValu>
    <labl>1103</labl>
  </catgry>
  <catgry>
    <catValu>1102</catValu>
    <labl>1102</labl>
  </catgry>
  <catgry>
    <catValu>1096</catValu>
    <labl>1096</labl>
  </catgry>
  <catgry>
    <catValu>1092</catValu>
    <labl>1092</labl>
  </catgry>
  <catgry>
    <catValu>1090</catValu>
    <labl>1090</labl>
  </catgry>
  <catgry>
    <catValu>1084</catValu>
    <labl>1084</labl>
  </catgry>
  <catgry>
    <catValu>1079</catValu>
    <labl>1079</labl>
  </catgry>
  <catgry>
    <catValu>1068</catValu>
    <labl>1068</labl>
  </catgry>
  <catgry>
    <catValu>1066</catValu>
    <labl>1066</labl>
  </catgry>
  <catgry>
    <catValu>1065</catValu>
    <labl>1065</labl>
  </catgry>
  <catgry>
    <catValu>1062</catValu>
    <labl>1062</labl>
  </catgry>
  <catgry>
    <catValu>1058</catValu>
    <labl>1058</labl>
  </catgry>
  <catgry>
    <catValu>1049</catValu>
    <labl>1049</labl>
  </catgry>
  <catgry>
    <catValu>1047</catValu>
    <labl>1047</labl>
  </catgry>
  <catgry>
    <catValu>1036</catValu>
    <labl>1036</labl>
  </catgry>
  <txt>INTSTARTCMC reports the century month code (CMC) for the first month the survey was fielded, according to the DHS Program website.

The contextual variables in IPUMS DHS use the month in INTSTARTCMC as the month of the survey start date. The related variable INTENDCMC reports the century month code for the last month the survey was fielded, according to the DHS Program website.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year - 1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006). [URL omitted from DDI.].

The century month codes reported in INTSTARTCMC are calculated using the Gregorian calculator.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_INTENDCMC" name="M_INTENDCMC" files="M" intrvl="discrete">
  <labl>Century month code (CMC) for end of survey</labl>
  <imputation>Century month code (CMC) for end of survey</imputation>
  <security>Century month code (CMC) for end of survey</security>
  <embargo>Century month code (CMC) for end of survey</embargo>
  <respUnit>Century month code (CMC) for end of survey</respUnit>
  <catgry>
    <catValu>1418</catValu>
    <labl>1418</labl>
  </catgry>
  <catgry>
    <catValu>1417</catValu>
    <labl>1417</labl>
  </catgry>
  <catgry>
    <catValu>1403</catValu>
    <labl>1403</labl>
  </catgry>
  <catgry>
    <catValu>1420</catValu>
    <labl>1420</labl>
  </catgry>
  <catgry>
    <catValu>1039</catValu>
    <labl>1039</labl>
  </catgry>
  <catgry>
    <catValu>1051</catValu>
    <labl>1051</labl>
  </catgry>
  <catgry>
    <catValu>1052</catValu>
    <labl>1052</labl>
  </catgry>
  <catgry>
    <catValu>1062</catValu>
    <labl>1062</labl>
  </catgry>
  <catgry>
    <catValu>1066</catValu>
    <labl>1066</labl>
  </catgry>
  <catgry>
    <catValu>1069</catValu>
    <labl>1069</labl>
  </catgry>
  <catgry>
    <catValu>1070</catValu>
    <labl>1070</labl>
  </catgry>
  <catgry>
    <catValu>1073</catValu>
    <labl>1073</labl>
  </catgry>
  <catgry>
    <catValu>1085</catValu>
    <labl>1085</labl>
  </catgry>
  <catgry>
    <catValu>1090</catValu>
    <labl>1090</labl>
  </catgry>
  <catgry>
    <catValu>1092</catValu>
    <labl>1092</labl>
  </catgry>
  <catgry>
    <catValu>1097</catValu>
    <labl>1097</labl>
  </catgry>
  <catgry>
    <catValu>1101</catValu>
    <labl>1101</labl>
  </catgry>
  <catgry>
    <catValu>1105</catValu>
    <labl>1105</labl>
  </catgry>
  <catgry>
    <catValu>1107</catValu>
    <labl>1107</labl>
  </catgry>
  <catgry>
    <catValu>1108</catValu>
    <labl>1108</labl>
  </catgry>
  <catgry>
    <catValu>1109</catValu>
    <labl>1109</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>1110</labl>
  </catgry>
  <catgry>
    <catValu>1114</catValu>
    <labl>1114</labl>
  </catgry>
  <catgry>
    <catValu>1115</catValu>
    <labl>1115</labl>
  </catgry>
  <catgry>
    <catValu>1118</catValu>
    <labl>1118</labl>
  </catgry>
  <catgry>
    <catValu>1119</catValu>
    <labl>1119</labl>
  </catgry>
  <catgry>
    <catValu>1124</catValu>
    <labl>1124</labl>
  </catgry>
  <catgry>
    <catValu>1125</catValu>
    <labl>1125</labl>
  </catgry>
  <catgry>
    <catValu>1126</catValu>
    <labl>1126</labl>
  </catgry>
  <catgry>
    <catValu>1130</catValu>
    <labl>1130</labl>
  </catgry>
  <catgry>
    <catValu>1131</catValu>
    <labl>1131</labl>
  </catgry>
  <catgry>
    <catValu>1139</catValu>
    <labl>1139</labl>
  </catgry>
  <catgry>
    <catValu>1148</catValu>
    <labl>1148</labl>
  </catgry>
  <catgry>
    <catValu>1153</catValu>
    <labl>1153</labl>
  </catgry>
  <catgry>
    <catValu>1157</catValu>
    <labl>1157</labl>
  </catgry>
  <catgry>
    <catValu>1158</catValu>
    <labl>1158</labl>
  </catgry>
  <catgry>
    <catValu>1160</catValu>
    <labl>1160</labl>
  </catgry>
  <catgry>
    <catValu>1163</catValu>
    <labl>1163</labl>
  </catgry>
  <catgry>
    <catValu>1165</catValu>
    <labl>1165</labl>
  </catgry>
  <catgry>
    <catValu>1167</catValu>
    <labl>1167</labl>
  </catgry>
  <catgry>
    <catValu>1168</catValu>
    <labl>1168</labl>
  </catgry>
  <catgry>
    <catValu>1171</catValu>
    <labl>1171</labl>
  </catgry>
  <catgry>
    <catValu>1174</catValu>
    <labl>1174</labl>
  </catgry>
  <catgry>
    <catValu>1176</catValu>
    <labl>1176</labl>
  </catgry>
  <catgry>
    <catValu>1182</catValu>
    <labl>1182</labl>
  </catgry>
  <catgry>
    <catValu>1183</catValu>
    <labl>1183</labl>
  </catgry>
  <catgry>
    <catValu>1185</catValu>
    <labl>1185</labl>
  </catgry>
  <catgry>
    <catValu>1187</catValu>
    <labl>1187</labl>
  </catgry>
  <catgry>
    <catValu>1190</catValu>
    <labl>1190</labl>
  </catgry>
  <catgry>
    <catValu>1191</catValu>
    <labl>1191</labl>
  </catgry>
  <catgry>
    <catValu>1193</catValu>
    <labl>1193</labl>
  </catgry>
  <catgry>
    <catValu>1195</catValu>
    <labl>1195</labl>
  </catgry>
  <catgry>
    <catValu>1199</catValu>
    <labl>1199</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>1200</labl>
  </catgry>
  <catgry>
    <catValu>1203</catValu>
    <labl>1203</labl>
  </catgry>
  <catgry>
    <catValu>1204</catValu>
    <labl>1204</labl>
  </catgry>
  <catgry>
    <catValu>1205</catValu>
    <labl>1205</labl>
  </catgry>
  <catgry>
    <catValu>1207</catValu>
    <labl>1207</labl>
  </catgry>
  <catgry>
    <catValu>1208</catValu>
    <labl>1208</labl>
  </catgry>
  <catgry>
    <catValu>1211</catValu>
    <labl>1211</labl>
  </catgry>
  <catgry>
    <catValu>1212</catValu>
    <labl>1212</labl>
  </catgry>
  <catgry>
    <catValu>1215</catValu>
    <labl>1215</labl>
  </catgry>
  <catgry>
    <catValu>1217</catValu>
    <labl>1217</labl>
  </catgry>
  <catgry>
    <catValu>1218</catValu>
    <labl>1218</labl>
  </catgry>
  <catgry>
    <catValu>1223</catValu>
    <labl>1223</labl>
  </catgry>
  <catgry>
    <catValu>1229</catValu>
    <labl>1229</labl>
  </catgry>
  <catgry>
    <catValu>1233</catValu>
    <labl>1233</labl>
  </catgry>
  <catgry>
    <catValu>1242</catValu>
    <labl>1242</labl>
  </catgry>
  <catgry>
    <catValu>1244</catValu>
    <labl>1244</labl>
  </catgry>
  <catgry>
    <catValu>1245</catValu>
    <labl>1245</labl>
  </catgry>
  <catgry>
    <catValu>1246</catValu>
    <labl>1246</labl>
  </catgry>
  <catgry>
    <catValu>1247</catValu>
    <labl>1247</labl>
  </catgry>
  <catgry>
    <catValu>1249</catValu>
    <labl>1249</labl>
  </catgry>
  <catgry>
    <catValu>1250</catValu>
    <labl>1250</labl>
  </catgry>
  <catgry>
    <catValu>1251</catValu>
    <labl>1251</labl>
  </catgry>
  <catgry>
    <catValu>1253</catValu>
    <labl>1253</labl>
  </catgry>
  <catgry>
    <catValu>1256</catValu>
    <labl>1256</labl>
  </catgry>
  <catgry>
    <catValu>1261</catValu>
    <labl>1261</labl>
  </catgry>
  <catgry>
    <catValu>1262</catValu>
    <labl>1262</labl>
  </catgry>
  <catgry>
    <catValu>1265</catValu>
    <labl>1265</labl>
  </catgry>
  <catgry>
    <catValu>1266</catValu>
    <labl>1266</labl>
  </catgry>
  <catgry>
    <catValu>1267</catValu>
    <labl>1267</labl>
  </catgry>
  <catgry>
    <catValu>1268</catValu>
    <labl>1268</labl>
  </catgry>
  <catgry>
    <catValu>1272</catValu>
    <labl>1272</labl>
  </catgry>
  <catgry>
    <catValu>1274</catValu>
    <labl>1274</labl>
  </catgry>
  <catgry>
    <catValu>1275</catValu>
    <labl>1275</labl>
  </catgry>
  <catgry>
    <catValu>1276</catValu>
    <labl>1276</labl>
  </catgry>
  <catgry>
    <catValu>1277</catValu>
    <labl>1277</labl>
  </catgry>
  <catgry>
    <catValu>1280</catValu>
    <labl>1280</labl>
  </catgry>
  <catgry>
    <catValu>1282</catValu>
    <labl>1282</labl>
  </catgry>
  <catgry>
    <catValu>1283</catValu>
    <labl>1283</labl>
  </catgry>
  <catgry>
    <catValu>1284</catValu>
    <labl>1284</labl>
  </catgry>
  <catgry>
    <catValu>1286</catValu>
    <labl>1286</labl>
  </catgry>
  <catgry>
    <catValu>1287</catValu>
    <labl>1287</labl>
  </catgry>
  <catgry>
    <catValu>1292</catValu>
    <labl>1292</labl>
  </catgry>
  <catgry>
    <catValu>1294</catValu>
    <labl>1294</labl>
  </catgry>
  <catgry>
    <catValu>1295</catValu>
    <labl>1295</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>1300</labl>
  </catgry>
  <catgry>
    <catValu>1302</catValu>
    <labl>1302</labl>
  </catgry>
  <catgry>
    <catValu>1306</catValu>
    <labl>1306</labl>
  </catgry>
  <catgry>
    <catValu>1307</catValu>
    <labl>1307</labl>
  </catgry>
  <catgry>
    <catValu>1310</catValu>
    <labl>1310</labl>
  </catgry>
  <catgry>
    <catValu>1316</catValu>
    <labl>1316</labl>
  </catgry>
  <catgry>
    <catValu>1320</catValu>
    <labl>1320</labl>
  </catgry>
  <catgry>
    <catValu>1321</catValu>
    <labl>1321</labl>
  </catgry>
  <catgry>
    <catValu>1325</catValu>
    <labl>1325</labl>
  </catgry>
  <catgry>
    <catValu>1331</catValu>
    <labl>1331</labl>
  </catgry>
  <catgry>
    <catValu>1333</catValu>
    <labl>1333</labl>
  </catgry>
  <catgry>
    <catValu>1335</catValu>
    <labl>1335</labl>
  </catgry>
  <catgry>
    <catValu>1336</catValu>
    <labl>1336</labl>
  </catgry>
  <catgry>
    <catValu>1337</catValu>
    <labl>1337</labl>
  </catgry>
  <catgry>
    <catValu>1338</catValu>
    <labl>1338</labl>
  </catgry>
  <catgry>
    <catValu>1340</catValu>
    <labl>1340</labl>
  </catgry>
  <catgry>
    <catValu>1343</catValu>
    <labl>1343</labl>
  </catgry>
  <catgry>
    <catValu>1344</catValu>
    <labl>1344</labl>
  </catgry>
  <catgry>
    <catValu>1347</catValu>
    <labl>1347</labl>
  </catgry>
  <catgry>
    <catValu>1349</catValu>
    <labl>1349</labl>
  </catgry>
  <catgry>
    <catValu>1350</catValu>
    <labl>1350</labl>
  </catgry>
  <catgry>
    <catValu>1354</catValu>
    <labl>1354</labl>
  </catgry>
  <catgry>
    <catValu>1356</catValu>
    <labl>1356</labl>
  </catgry>
  <catgry>
    <catValu>1358</catValu>
    <labl>1358</labl>
  </catgry>
  <catgry>
    <catValu>1360</catValu>
    <labl>1360</labl>
  </catgry>
  <catgry>
    <catValu>1362</catValu>
    <labl>1362</labl>
  </catgry>
  <catgry>
    <catValu>1365</catValu>
    <labl>1365</labl>
  </catgry>
  <catgry>
    <catValu>1367</catValu>
    <labl>1367</labl>
  </catgry>
  <catgry>
    <catValu>1370</catValu>
    <labl>1370</labl>
  </catgry>
  <catgry>
    <catValu>1372</catValu>
    <labl>1372</labl>
  </catgry>
  <catgry>
    <catValu>1374</catValu>
    <labl>1374</labl>
  </catgry>
  <catgry>
    <catValu>1378</catValu>
    <labl>1378</labl>
  </catgry>
  <catgry>
    <catValu>1379</catValu>
    <labl>1379</labl>
  </catgry>
  <catgry>
    <catValu>1380</catValu>
    <labl>1380</labl>
  </catgry>
  <catgry>
    <catValu>1384</catValu>
    <labl>1384</labl>
  </catgry>
  <catgry>
    <catValu>1390</catValu>
    <labl>1390</labl>
  </catgry>
  <catgry>
    <catValu>1392</catValu>
    <labl>1392</labl>
  </catgry>
  <catgry>
    <catValu>1394</catValu>
    <labl>1394</labl>
  </catgry>
  <catgry>
    <catValu>1398</catValu>
    <labl>1398</labl>
  </catgry>
  <catgry>
    <catValu>1399</catValu>
    <labl>1399</labl>
  </catgry>
  <catgry>
    <catValu>1402</catValu>
    <labl>1402</labl>
  </catgry>
  <catgry>
    <catValu>1404</catValu>
    <labl>1404</labl>
  </catgry>
  <catgry>
    <catValu>1405</catValu>
    <labl>1405</labl>
  </catgry>
  <catgry>
    <catValu>1406</catValu>
    <labl>1406</labl>
  </catgry>
  <catgry>
    <catValu>1416</catValu>
    <labl>1416</labl>
  </catgry>
  <txt>INTENDCMC reports the century month code (CMC) for the last month the survey was fielded, according to the DHS Program website.

The related variable INTSTARTCMC reports the century month code for the first month the survey was fielded, according to the DHS Program website. The contextual variables in IPUMS DHS use the month in INTSTARTCMC as the month of the survey start date.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year - 1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006). [URL omitted from DDI.].

The century month codes reported in INTENDCMC are calculated using the Gregorian calculator.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_INTSTARTMN" name="M_INTSTARTMN" files="M" intrvl="discrete">
  <labl>Time men's interview started (hhmm - 24 hour clock)</labl>
  <imputation>Time men's interview started (hhmm - 24 hour clock)</imputation>
  <security>Time men's interview started (hhmm - 24 hour clock)</security>
  <embargo>Time men's interview started (hhmm - 24 hour clock)</embargo>
  <respUnit>Time men's interview started (hhmm - 24 hour clock)</respUnit>
  <txt>INTSTARTMN (MV801) reports the time of the start of the interview for the men's sample. The first two digits give the time in hours using the 24-hour clock, and the last two digits give the minutes within that hour. For example, a code of "1349" indicates the interview began at 1:49 P.M.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_INTENDMN" name="M_INTENDMN" files="M" intrvl="discrete">
  <labl>Time men's interview ended (hhmm - 24 hour clock)</labl>
  <imputation>Time men's interview ended (hhmm - 24 hour clock)</imputation>
  <security>Time men's interview ended (hhmm - 24 hour clock)</security>
  <embargo>Time men's interview ended (hhmm - 24 hour clock)</embargo>
  <respUnit>Time men's interview ended (hhmm - 24 hour clock)</respUnit>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>INTENDMN (MV802) reports the time of the end of the men's interview. The first two digits give the time in hours using the 24-hour clock, and the last two digits give the minutes within that hour. For example, a code of "1349" indicates the interview ended at 1:49 P.M.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_INTDURATIONMN" name="M_INTDURATIONMN" files="M" intrvl="discrete">
  <labl>Length of men's interview in minutes</labl>
  <imputation>Length of men's interview in minutes</imputation>
  <security>Length of men's interview in minutes</security>
  <embargo>Length of men's interview in minutes</embargo>
  <respUnit>Length of men's interview in minutes</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>0 minutes</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>95+</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>2+ Visits</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>INTDURATIONMN (MV803) reports the duration of the interview for the male survey (in minutes). The duration is top-coded at 95 minutes. Interviews that required more than one visit (INTVISITNOMN (MV804) are coded as "96" for "2+ visits."

INTDURATIONMN is calculated based on the interview's start and end times in INTSTARTMN (MV801) and INTENDMN (MV802).</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_INTRESULTMN" name="M_INTRESULTMN" files="M" intrvl="discrete">
  <labl>Result of men's interview</labl>
  <imputation>Result of men's interview</imputation>
  <security>Result of men's interview</security>
  <embargo>Result of men's interview</embargo>
  <respUnit>Result of men's interview</respUnit>
  <qstn>
    <qstnLit>INTERVIEWER VISITS:

INTERVIEWER:
(REPEAT FOR SECOND AND THIRD INTERVIEWERS)
DATE__
DAY__
MONTH__
YEAR__
INTERVIEWER NAME___
RESULTS___

NEXT VISIT [FOR INTERVIEWERS 1 AND 2]:
DATE__
TIME__

FINAL VISIT:
DAY__
MONTH__
YEAR 19__
INTERVIEWER__
RESULT__</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Completed</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Not at home</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Postponed</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Refused</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Partly completed</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Incapacitated</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Other</labl>
  </catgry>
  <txt>INTRESULTMN (MV015) reports the result of the interview for the men's sample. Code 1 represents a completed interview.  Only completed interview cases are included in the DHS men's sample files, which provide the source material for men as a unit of analysis in IPUMS-DHS.</txt>
  <concept>
    <title>General technical Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_VISITNOMN" name="M_VISITNOMN" files="M" intrvl="discrete">
  <labl>Number of visits for male interviews</labl>
  <imputation>Number of visits for male interviews</imputation>
  <security>Number of visits for male interviews</security>
  <embargo>Number of visits for male interviews</embargo>
  <respUnit>Number of visits for male interviews</respUnit>
  <qstn>
    <qstnLit>TOTAL NUMBER OF VISITS ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>VISITNOMN (MV017) reports the number of visits by an interviewer required to complete the interview for the men's survey.</txt>
  <concept>
    <title>General technical Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_INTERVIEWERIDMR" name="M_INTERVIEWERIDMR" files="M" intrvl="discrete">
  <labl>Identification number of interviewer, men's survey</labl>
  <imputation>Identification number of interviewer, men's survey</imputation>
  <security>Identification number of interviewer, men's survey</security>
  <embargo>Identification number of interviewer, men's survey</embargo>
  <respUnit>Identification number of interviewer, men's survey</respUnit>
  <qstn>
    <qstnLit>INTERVIEWER VISITS:

INTERVIEWER:
(REPEAT FOR SECOND AND THIRD INTERVIEWERS)
DATE__
DAY__
MONTH__
YEAR__
INTERVIEWER NAME___
RESULTS___

NEXT VISIT [FOR INTERVIEWERS 1 AND 2]:
DATE__
TIME__

FINAL VISIT:
DAY__
MONTH__
YEAR 19__
INTERVIEWER__
RESULT__</qstnLit>
  </qstn>
  <catgry>
    <catValu>99998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>INTERVIEWERIDMR (MV028) reports the interviewer identification code for the interviewer conducting the interviews for a men's survey. Codes are country- and sample-specific; a given numeric code in one survey refers to a different person than the same numeric code in another survey. Numbering of interviewer codes is not necessarily consecutive; some surveys use "0" as an identification code, for example, while others begin with a 3-digit number. Using the interviewer identification codes, researchers can evaluate whether the quality of responses (e.g., the number of "missing" cases) depended on the person conducting the interview.</txt>
  <concept>
    <title>General technical Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_URBANMN" name="M_URBANMN" files="M" intrvl="discrete">
  <labl>Type of place of residence</labl>
  <imputation>Type of place of residence</imputation>
  <security>Type of place of residence</security>
  <embargo>Type of place of residence</embargo>
  <respUnit>Type of place of residence</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Rural</labl>
  </catgry>
  <txt>For men's samples, URBANMN (MV025) indicates whether the man's de facto residence was in an urban or rural location. The definition of urban varies across countries. See Comparability.</txt>
  <concept>
    <title>Geography, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_DEFACTORESMN" name="M_DEFACTORESMN" files="M" intrvl="discrete">
  <labl>De facto place of residence</labl>
  <imputation>De facto place of residence</imputation>
  <security>De facto place of residence</security>
  <embargo>De facto place of residence</embargo>
  <respUnit>De facto place of residence</respUnit>
  <catgry>
    <catValu>10</catValu>
    <labl>City</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Capital or other large city</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Small city</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Town or countryside</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Town</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Countryside</labl>
  </catgry>
  <txt>DEFACTORESMN (MV026) reports the type of place--city, town, or countryside--where the man was interviewed.</txt>
  <concept>
    <title>Geography, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_GEO_NE1992_2012" name="M_GEO_NE1992_2012" files="M" intrvl="discrete">
  <labl>Niger regions, 1992-2012 [integrated; GIS]</labl>
  <imputation>Niger regions, 1992-2012 [integrated; GIS]</imputation>
  <security>Niger regions, 1992-2012 [integrated; GIS]</security>
  <embargo>Niger regions, 1992-2012 [integrated; GIS]</embargo>
  <respUnit>Niger regions, 1992-2012 [integrated; GIS]</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>Tahoua/Agadez</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Zinder/Diffa</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Dossa</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Maradi</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Tillaberi</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Niamey</labl>
  </catgry>
  <txt>GEO_ NE1992_2012 indicates the region of Niger where the respondent was interviewed. The variable is integrated to yield units with consistent boundaries across samples.

Labels identify the modern geographic units (regions) contained in each integrated region. Each sample also has its own non-integrated geography variable. The 1992, 2006, and 2012 samples have greater geographic detail available in their sample-specific variables.

An integrated GIS map (in shapefile format) for Niger can be downloaded here [URL omitted from DDI.].</txt>
  <concept>
    <title>Integrated geography Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_GEO_NE1992" name="M_GEO_NE1992" files="M" intrvl="discrete">
  <labl>Niger regions, 1992 [GIS]</labl>
  <imputation>Niger regions, 1992 [GIS]</imputation>
  <security>Niger regions, 1992 [GIS]</security>
  <embargo>Niger regions, 1992 [GIS]</embargo>
  <respUnit>Niger regions, 1992 [GIS]</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>Niamey</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Agadez</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Diffa</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Dossa</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Maradi</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Tahoua</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Tillaberi</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Zinder</labl>
  </catgry>
  <txt>GEO_NE1992 (V101_NE1992) indicates the region of Niger where the respondent was interviewed. DHS units in the 1992 Niger survey are equivalent to grouped regions.

Other sample years have their own sample-specific geography variables. There is also an integrated variable, GEO_NE1992_2012, that provides spatially consistent units over time.

A GIS map for GEO_NE1992 (in shapefile format) can be downloaded from the DHS Program Spatial Data Repository [URL omitted from DDI.] Boundaries page.</txt>
  <concept>
    <title>Single sample geography Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_RESIDENTMN" name="M_RESIDENTMN" files="M" intrvl="discrete">
  <labl>Usual resident or visitor</labl>
  <imputation>Usual resident or visitor</imputation>
  <security>Usual resident or visitor</security>
  <embargo>Usual resident or visitor</embargo>
  <respUnit>Usual resident or visitor</respUnit>
  <qstn>
    <qstnLit>4) RESIDENCE:
Does (NAME) normally live here?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Usual resident</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Visitor</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RESIDENTMN (MV135) indicates whether the man, in a men's sample, was a usual resident of the household or was just visiting there. As defined by the RESIDENTMN variable, a visitor could potentially reside in the city, town, or village where the interview took place but would have answered "No" to the question, "Does (NAME) usually live here [in this dwelling unit]?" on the household questionnaire.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_AGEMN" name="M_AGEMN" files="M" intrvl="discrete">
  <labl>Age</labl>
  <imputation>Age</imputation>
  <security>Age</security>
  <embargo>Age</embargo>
  <respUnit>Age</respUnit>
  <qstn>
    <qstnLit>103) How old were you at your last birthday?

COMPARE AND CORRECT IF 102 AND 103 ARE INCOMPATIBLE.

AGE IN COMPLETED YEARS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>95</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>96</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>97+</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>AGEMN (MV012) reports the man's age. DHS surveys collect information about the man's age through questions about age at last birthday and date of birth.  DHS Recode Manuals provide the following information about how the AGE variable is calculated:

Current age in completed years is calculated from the century month code of the date of birth of the respondent (MV011) and the century month code of the date of interview (MV008). In a few cases the age in the data file will be different from that reported by the respondent when the respondent's birthday was in the month of interview, but he had not yet had his birthday. If the respondent correctly reported his age at his last birthday (and not his age at his next birthday) then the calculated age was rounded up from the reported age, to avoid inconsistencies between the age and the century month code for the birth.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_AGE5YEARMN" name="M_AGE5YEARMN" files="M" intrvl="discrete">
  <labl>Age in 5-year groups</labl>
  <imputation>Age in 5-year groups</imputation>
  <security>Age in 5-year groups</security>
  <embargo>Age in 5-year groups</embargo>
  <respUnit>Age in 5-year groups</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>15-19</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>20-24</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>25-29</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>30-34</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>35-39</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>40-44</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>45-49</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>50-54</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>55-59</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>60+</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>60-64</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>65+</labl>
  </catgry>
  <txt>AGE5YEARMN (MV013) reports the man's age in 5-year age groups, based on data from the AGEMN (MV012) variable. The age range of men interviewed varies across samples. See Comparability.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_BIRTHMOMN" name="M_BIRTHMOMN" files="M" intrvl="discrete">
  <labl>Man's month of birth</labl>
  <imputation>Man's month of birth</imputation>
  <security>Man's month of birth</security>
  <embargo>Man's month of birth</embargo>
  <respUnit>Man's month of birth</respUnit>
  <qstn>
    <qstnLit>102) In what month and year were you born?

MONTH: ___
DON'T KNOW MONTH 98

YEAR: ___
DON'T KNOW YEAR 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>BIRTHMOMN (MV009) reports the man's month of birth, according to the Gregorian calendar.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_BIRTHYEARMN" name="M_BIRTHYEARMN" files="M" intrvl="discrete">
  <labl>Man's year of birth</labl>
  <imputation>Man's year of birth</imputation>
  <security>Man's year of birth</security>
  <embargo>Man's year of birth</embargo>
  <respUnit>Man's year of birth</respUnit>
  <qstn>
    <qstnLit>102) In what month and year were you born?

MONTH: ___
DON'T KNOW MONTH 98

YEAR: ___
DON'T KNOW YEAR 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>1899</catValu>
    <labl>1899 or earlier</labl>
  </catgry>
  <catgry>
    <catValu>1900</catValu>
    <labl>1900</labl>
  </catgry>
  <catgry>
    <catValu>1901</catValu>
    <labl>1901</labl>
  </catgry>
  <catgry>
    <catValu>1902</catValu>
    <labl>1902</labl>
  </catgry>
  <catgry>
    <catValu>1903</catValu>
    <labl>1903</labl>
  </catgry>
  <catgry>
    <catValu>1904</catValu>
    <labl>1904</labl>
  </catgry>
  <catgry>
    <catValu>1905</catValu>
    <labl>1905</labl>
  </catgry>
  <catgry>
    <catValu>1906</catValu>
    <labl>1906</labl>
  </catgry>
  <catgry>
    <catValu>1907</catValu>
    <labl>1907</labl>
  </catgry>
  <catgry>
    <catValu>1908</catValu>
    <labl>1908</labl>
  </catgry>
  <catgry>
    <catValu>1909</catValu>
    <labl>1909</labl>
  </catgry>
  <catgry>
    <catValu>1910</catValu>
    <labl>1910</labl>
  </catgry>
  <catgry>
    <catValu>1911</catValu>
    <labl>1911</labl>
  </catgry>
  <catgry>
    <catValu>1912</catValu>
    <labl>1912</labl>
  </catgry>
  <catgry>
    <catValu>1913</catValu>
    <labl>1913</labl>
  </catgry>
  <catgry>
    <catValu>1914</catValu>
    <labl>1914</labl>
  </catgry>
  <catgry>
    <catValu>1915</catValu>
    <labl>1915</labl>
  </catgry>
  <catgry>
    <catValu>1916</catValu>
    <labl>1916</labl>
  </catgry>
  <catgry>
    <catValu>1917</catValu>
    <labl>1917</labl>
  </catgry>
  <catgry>
    <catValu>1918</catValu>
    <labl>1918</labl>
  </catgry>
  <catgry>
    <catValu>1919</catValu>
    <labl>1919</labl>
  </catgry>
  <catgry>
    <catValu>1920</catValu>
    <labl>1920</labl>
  </catgry>
  <catgry>
    <catValu>1921</catValu>
    <labl>1921</labl>
  </catgry>
  <catgry>
    <catValu>1922</catValu>
    <labl>1922</labl>
  </catgry>
  <catgry>
    <catValu>1923</catValu>
    <labl>1923</labl>
  </catgry>
  <catgry>
    <catValu>1924</catValu>
    <labl>1924</labl>
  </catgry>
  <catgry>
    <catValu>1925</catValu>
    <labl>1925</labl>
  </catgry>
  <catgry>
    <catValu>1926</catValu>
    <labl>1926</labl>
  </catgry>
  <catgry>
    <catValu>1927</catValu>
    <labl>1927</labl>
  </catgry>
  <catgry>
    <catValu>1928</catValu>
    <labl>1928</labl>
  </catgry>
  <catgry>
    <catValu>1929</catValu>
    <labl>1929</labl>
  </catgry>
  <catgry>
    <catValu>1930</catValu>
    <labl>1930</labl>
  </catgry>
  <catgry>
    <catValu>1931</catValu>
    <labl>1931</labl>
  </catgry>
  <catgry>
    <catValu>1932</catValu>
    <labl>1932</labl>
  </catgry>
  <catgry>
    <catValu>1933</catValu>
    <labl>1933</labl>
  </catgry>
  <catgry>
    <catValu>1934</catValu>
    <labl>1934</labl>
  </catgry>
  <catgry>
    <catValu>1935</catValu>
    <labl>1935</labl>
  </catgry>
  <catgry>
    <catValu>1936</catValu>
    <labl>1936</labl>
  </catgry>
  <catgry>
    <catValu>1937</catValu>
    <labl>1937</labl>
  </catgry>
  <catgry>
    <catValu>1938</catValu>
    <labl>1938</labl>
  </catgry>
  <catgry>
    <catValu>1939</catValu>
    <labl>1939</labl>
  </catgry>
  <catgry>
    <catValu>1940</catValu>
    <labl>1940</labl>
  </catgry>
  <catgry>
    <catValu>1941</catValu>
    <labl>1941</labl>
  </catgry>
  <catgry>
    <catValu>1942</catValu>
    <labl>1942</labl>
  </catgry>
  <catgry>
    <catValu>1943</catValu>
    <labl>1943</labl>
  </catgry>
  <catgry>
    <catValu>1944</catValu>
    <labl>1944</labl>
  </catgry>
  <catgry>
    <catValu>1945</catValu>
    <labl>1945</labl>
  </catgry>
  <catgry>
    <catValu>1946</catValu>
    <labl>1946</labl>
  </catgry>
  <catgry>
    <catValu>1947</catValu>
    <labl>1947</labl>
  </catgry>
  <catgry>
    <catValu>1948</catValu>
    <labl>1948</labl>
  </catgry>
  <catgry>
    <catValu>1949</catValu>
    <labl>1949</labl>
  </catgry>
  <catgry>
    <catValu>1950</catValu>
    <labl>1950</labl>
  </catgry>
  <catgry>
    <catValu>1951</catValu>
    <labl>1951</labl>
  </catgry>
  <catgry>
    <catValu>1952</catValu>
    <labl>1952</labl>
  </catgry>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>9997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>BIRTHYEARMN (MV010) reports the man's year of birth, according to the Gregorian calendar.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_DOBCMCMN" name="M_DOBCMCMN" files="M" intrvl="discrete">
  <labl>Man's date of birth (century month code)</labl>
  <imputation>Man's date of birth (century month code)</imputation>
  <security>Man's date of birth (century month code)</security>
  <embargo>Man's date of birth (century month code)</embargo>
  <respUnit>Man's date of birth (century month code)</respUnit>
  <qstn>
    <qstnLit>102) In what month and year were you born?

MONTH: ___
DON'T KNOW MONTH 98

YEAR: ___
DON'T KNOW YEAR 98</qstnLit>
  </qstn>
  <txt>DOBCMCMN (MV011) reports the century month code (CMC) for the man's date of birth. 

Century month codes (CMC) are particularly useful for checking the consistency of dates, calculating intervals between events, and imputing dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC  -  1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC  -  ( ( Year  -  1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006) [URL omitted from DDI.].</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_DOBINFORESPMN" name="M_DOBINFORESPMN" files="M" intrvl="discrete">
  <labl>Information given on respondent's date of birth</labl>
  <imputation>Information given on respondent's date of birth</imputation>
  <security>Information given on respondent's date of birth</security>
  <embargo>Information given on respondent's date of birth</embargo>
  <respUnit>Information given on respondent's date of birth</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>Month and year</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Month and year, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Year and age, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Year and age, year ignored</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Year only, age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Age only, year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Month only, age and year imputed</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>None reported, all imputed</labl>
  </catgry>
  <txt>DOBINFORESPMN (MV014) reports the completeness of information about the male respondent's age and date of birth. A code of 0 indicates the month and the year were reported, and no data were imputed.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_RELATEMN" name="M_RELATEMN" files="M" intrvl="discrete">
  <labl>Man's relationship to HH head</labl>
  <imputation>Man's relationship to HH head</imputation>
  <security>Man's relationship to HH head</security>
  <embargo>Man's relationship to HH head</embargo>
  <respUnit>Man's relationship to HH head</respUnit>
  <catgry>
    <catValu>010</catValu>
    <labl>Head</labl>
  </catgry>
  <catgry>
    <catValu>020</catValu>
    <labl>Husband</labl>
  </catgry>
  <catgry>
    <catValu>030</catValu>
    <labl>Son</labl>
  </catgry>
  <catgry>
    <catValu>040</catValu>
    <labl>Son-in-law</labl>
  </catgry>
  <catgry>
    <catValu>050</catValu>
    <labl>Grandson</labl>
  </catgry>
  <catgry>
    <catValu>060</catValu>
    <labl>Father</labl>
  </catgry>
  <catgry>
    <catValu>070</catValu>
    <labl>Father-in-law</labl>
  </catgry>
  <catgry>
    <catValu>080</catValu>
    <labl>Brother</labl>
  </catgry>
  <catgry>
    <catValu>090</catValu>
    <labl>Adopted/foster son/stepson</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>Other relative</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>Nephew</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>Nephew by blood</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>Nephew by marriage</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Brother-in-law</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>Uncle</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Not related</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Domestic servant</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>Herdboy</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RELATEMN (MV150) reports the man's relationship to the head of the household, based on a question in the household questionnaire.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_RELIGIONMN" name="M_RELIGIONMN" files="M" intrvl="discrete">
  <labl>Religion</labl>
  <imputation>Religion</imputation>
  <security>Religion</security>
  <embargo>Religion</embargo>
  <respUnit>Religion</respUnit>
  <qstn>
    <qstnLit>108) What is your religion?

MUSLIM 1
CHRISTIAN 2
ANIMIST 3
OTHER (SPECIFY): ___ 4</qstnLit>
  </qstn>
  <catgry>
    <catValu>0000</catValu>
    <labl>NO RELIGION</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>MUSLIM</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>CHRISTIAN</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Catholic</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Orthodox</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Protestant</labl>
  </catgry>
  <catgry>
    <catValu>2310</catValu>
    <labl>Lutheran</labl>
  </catgry>
  <catgry>
    <catValu>2320</catValu>
    <labl>Anglican</labl>
  </catgry>
  <catgry>
    <catValu>2330</catValu>
    <labl>Presbyterian</labl>
  </catgry>
  <catgry>
    <catValu>2340</catValu>
    <labl>Baptist/Seventh-day Adventist</labl>
  </catgry>
  <catgry>
    <catValu>2341</catValu>
    <labl>Baptist</labl>
  </catgry>
  <catgry>
    <catValu>2342</catValu>
    <labl>Seventh-day Adventist</labl>
  </catgry>
  <catgry>
    <catValu>2350</catValu>
    <labl>Apostolic</labl>
  </catgry>
  <catgry>
    <catValu>2360</catValu>
    <labl>Salvation Army</labl>
  </catgry>
  <catgry>
    <catValu>2370</catValu>
    <labl>Methodist</labl>
  </catgry>
  <catgry>
    <catValu>2380</catValu>
    <labl>Pentacostal-based</labl>
  </catgry>
  <catgry>
    <catValu>2381</catValu>
    <labl>Pentacostal</labl>
  </catgry>
  <catgry>
    <catValu>2382</catValu>
    <labl>Celestial Church of Christ</labl>
  </catgry>
  <catgry>
    <catValu>2383</catValu>
    <labl>Universal</labl>
  </catgry>
  <catgry>
    <catValu>2384</catValu>
    <labl>Assemblies of God</labl>
  </catgry>
  <catgry>
    <catValu>2390</catValu>
    <labl>Other Protestant</labl>
  </catgry>
  <catgry>
    <catValu>2391</catValu>
    <labl>Evangelical</labl>
  </catgry>
  <catgry>
    <catValu>2392</catValu>
    <labl>Lesotho Evangelical Church</labl>
  </catgry>
  <catgry>
    <catValu>2393</catValu>
    <labl>Kimbanguist (Congo, Democratic Republic)</labl>
  </catgry>
  <catgry>
    <catValu>2400</catValu>
    <labl>Nontrinitarian</labl>
  </catgry>
  <catgry>
    <catValu>2410</catValu>
    <labl>Jehovah's Witness</labl>
  </catgry>
  <catgry>
    <catValu>2900</catValu>
    <labl>Other Christian, country-specific</labl>
  </catgry>
  <catgry>
    <catValu>2901</catValu>
    <labl>African Zionist (Mozambique)</labl>
  </catgry>
  <catgry>
    <catValu>2902</catValu>
    <labl>Mammon (Uganda)</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>BUDDHIST/NEO-BUDDHIST</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Buddhist</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>HINDU</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>JEWISH</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>TRADITIONAL/SPIRITUAL/ANIMIST</labl>
  </catgry>
  <catgry>
    <catValu>6100</catValu>
    <labl>Traditional</labl>
  </catgry>
  <catgry>
    <catValu>6200</catValu>
    <labl>Spiritual</labl>
  </catgry>
  <catgry>
    <catValu>6300</catValu>
    <labl>Animist</labl>
  </catgry>
  <catgry>
    <catValu>6400</catValu>
    <labl>Specified Traditional</labl>
  </catgry>
  <catgry>
    <catValu>6401</catValu>
    <labl>Donyi-Polo</labl>
  </catgry>
  <catgry>
    <catValu>6402</catValu>
    <labl>Sanamahi</labl>
  </catgry>
  <catgry>
    <catValu>6403</catValu>
    <labl>Vodun</labl>
  </catgry>
  <catgry>
    <catValu>7000</catValu>
    <labl>OTHER (SPECIFIED)</labl>
  </catgry>
  <catgry>
    <catValu>7100</catValu>
    <labl>Bahá'í</labl>
  </catgry>
  <catgry>
    <catValu>7200</catValu>
    <labl>Sikh</labl>
  </catgry>
  <catgry>
    <catValu>7300</catValu>
    <labl>Zoroastrian</labl>
  </catgry>
  <catgry>
    <catValu>7400</catValu>
    <labl>Jain</labl>
  </catgry>
  <catgry>
    <catValu>7900</catValu>
    <labl>Country-specific other</labl>
  </catgry>
  <catgry>
    <catValu>7901</catValu>
    <labl>Sect (Burundi)</labl>
  </catgry>
  <catgry>
    <catValu>7902</catValu>
    <labl>Bundu dia Kongo (Congo, Democratic Republic)</labl>
  </catgry>
  <catgry>
    <catValu>7903</catValu>
    <labl>Vuvamu (Congo, Democratic Republic)</labl>
  </catgry>
  <catgry>
    <catValu>7904</catValu>
    <labl>Kirat Mundhum (Nepal)</labl>
  </catgry>
  <catgry>
    <catValu>9000</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>9001</catValu>
    <labl>Religion 1</labl>
  </catgry>
  <catgry>
    <catValu>9002</catValu>
    <labl>Religion 2</labl>
  </catgry>
  <catgry>
    <catValu>9003</catValu>
    <labl>Religion 3</labl>
  </catgry>
  <catgry>
    <catValu>9004</catValu>
    <labl>Religion 4</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RELIGIONMN (MV130) reports the man's religion. While the categories and codes for the religion variable in the original DHS files are country-specific, IPUMS-DHS uses a 4-digit composite coding system to fit these diverse categories into a single variable without losing information. See Comparability.</txt>
  <concept>
    <title>Ethnicity and religion Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_ETHNICITYMN_NE" name="M_ETHNICITYMN_NE" files="M" intrvl="discrete">
  <labl>Ethnicity, Niger</labl>
  <imputation>Ethnicity, Niger</imputation>
  <security>Ethnicity, Niger</security>
  <embargo>Ethnicity, Niger</embargo>
  <respUnit>Ethnicity, Niger</respUnit>
  <qstn>
    <qstnLit>110) What is your ethnicity?

ARABE 01
DJERMA 02
GOURMANTH 03
HAUSSA 04
KAMOURI 05
MOSSI 06
PEULH 07
TOUAREG BELLA 08
TOUBOU 09
OTHER (SPECIFY): ___ 10</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>Arab</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Djerma</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Gourmanthe</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Haoussa</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Kanouri</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Peulh</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Toureg</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Toubou</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Mossi</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Other, non-Niger</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>ETHNICITYMN_NE (MV131NE) is a variable specific to Niger that reports responses to a question about the man's ethnicity. The groups identified vary across samples. See Comparability.</txt>
  <concept>
    <title>Ethnicity and religion Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_MARSTATMN" name="M_MARSTATMN" files="M" intrvl="discrete">
  <labl>Man's current marital or union status</labl>
  <imputation>Man's current marital or union status</imputation>
  <security>Man's current marital or union status</security>
  <embargo>Man's current marital or union status</embargo>
  <respUnit>Man's current marital or union status</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>Never married</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Married or living together</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Married</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Living together</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Formerly in union</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Widowed</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Divorced</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Separated/not living together</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>MARSTATMN (MV501) reports the man's current marital status. Response categories and question wording vary across surveys.  See Comparability.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_CURRMARRMN" name="M_CURRMARRMN" files="M" intrvl="discrete">
  <labl>Man never, currently, or formerly married/in union</labl>
  <imputation>Man never, currently, or formerly married/in union</imputation>
  <security>Man never, currently, or formerly married/in union</security>
  <embargo>Man never, currently, or formerly married/in union</embargo>
  <respUnit>Man never, currently, or formerly married/in union</respUnit>
  <catgry>
    <labl>Never married</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Currently married</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Formerly married</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>CURRMARRMN (MV502) reports the man's marital/union status as "Never married," "Currently married," or "Formerly married."

"Never married" includes men who have never lived with a partner. "Currently married" includes men who are married and those who are not formally married but are living with a partner. "Formerly married" includes men who are widowed, divorced, or separated, or who have formerly lived with a partner. For samples restricted to ever-married men, only men who are formally married (not cohabiting) are included as "married."</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_WIFENUMMN" name="M_WIFENUMMN" files="M" intrvl="discrete">
  <labl>Number of current wives/partners</labl>
  <imputation>Number of current wives/partners</imputation>
  <security>Number of current wives/partners</security>
  <embargo>Number of current wives/partners</embargo>
  <respUnit>Number of current wives/partners</respUnit>
  <qstn>
    <qstnLit>111) Now I'd like to ask you some questions about marriage:
How many spouses/wives do you currently have?

NUMBER: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>More than one wife/partner, number unspecified</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For men who are currently married or living with a woman, WIFENUMMN (MV505) reports the number of wives (or co-resident partners) he has.  Question wording varied across samples. See Comparability.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_MAR1STMOMN" name="M_MAR1STMOMN" files="M" intrvl="discrete">
  <labl>Month of first marriage or cohabitation</labl>
  <imputation>Month of first marriage or cohabitation</imputation>
  <security>Month of first marriage or cohabitation</security>
  <embargo>Month of first marriage or cohabitation</embargo>
  <respUnit>Month of first marriage or cohabitation</respUnit>
  <qstn>
    <qstnLit>113) In what month and year did you get married or start to live together with a woman for the first time?

MONTH: ___
DON'T KNOW MONTH 98

YEAR: ___
DON'T KNOW YEAR 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For men who have ever been married or lived with a woman, MAR1STMOMN (MV507) reports the month of their first marriage or (for most samples) unmarried cohabitation. The year of the man's first marriage/union is reported in MAR1STYRMN (MV508).</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_MAR1STYRMN" name="M_MAR1STYRMN" files="M" intrvl="discrete">
  <labl>Year of first marriage or cohabitation</labl>
  <imputation>Year of first marriage or cohabitation</imputation>
  <security>Year of first marriage or cohabitation</security>
  <embargo>Year of first marriage or cohabitation</embargo>
  <respUnit>Year of first marriage or cohabitation</respUnit>
  <qstn>
    <qstnLit>113) In what month and year did you get married or start to live together with a woman for the first time?

MONTH: ___
DON'T KNOW MONTH 98

YEAR: ___
DON'T KNOW YEAR 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>1922</catValu>
    <labl>1922</labl>
  </catgry>
  <catgry>
    <catValu>1923</catValu>
    <labl>1923</labl>
  </catgry>
  <catgry>
    <catValu>1924</catValu>
    <labl>1924</labl>
  </catgry>
  <catgry>
    <catValu>1925</catValu>
    <labl>1925</labl>
  </catgry>
  <catgry>
    <catValu>1926</catValu>
    <labl>1926</labl>
  </catgry>
  <catgry>
    <catValu>1927</catValu>
    <labl>1927</labl>
  </catgry>
  <catgry>
    <catValu>1928</catValu>
    <labl>1928</labl>
  </catgry>
  <catgry>
    <catValu>1929</catValu>
    <labl>1929</labl>
  </catgry>
  <catgry>
    <catValu>1930</catValu>
    <labl>1930</labl>
  </catgry>
  <catgry>
    <catValu>1931</catValu>
    <labl>1931</labl>
  </catgry>
  <catgry>
    <catValu>1932</catValu>
    <labl>1932</labl>
  </catgry>
  <catgry>
    <catValu>1933</catValu>
    <labl>1933</labl>
  </catgry>
  <catgry>
    <catValu>1934</catValu>
    <labl>1934</labl>
  </catgry>
  <catgry>
    <catValu>1935</catValu>
    <labl>1935</labl>
  </catgry>
  <catgry>
    <catValu>1936</catValu>
    <labl>1936</labl>
  </catgry>
  <catgry>
    <catValu>1937</catValu>
    <labl>1937</labl>
  </catgry>
  <catgry>
    <catValu>1938</catValu>
    <labl>1938</labl>
  </catgry>
  <catgry>
    <catValu>1939</catValu>
    <labl>1939</labl>
  </catgry>
  <catgry>
    <catValu>1940</catValu>
    <labl>1940</labl>
  </catgry>
  <catgry>
    <catValu>1941</catValu>
    <labl>1941</labl>
  </catgry>
  <catgry>
    <catValu>1942</catValu>
    <labl>1942</labl>
  </catgry>
  <catgry>
    <catValu>1943</catValu>
    <labl>1943</labl>
  </catgry>
  <catgry>
    <catValu>1944</catValu>
    <labl>1944</labl>
  </catgry>
  <catgry>
    <catValu>1945</catValu>
    <labl>1945</labl>
  </catgry>
  <catgry>
    <catValu>1946</catValu>
    <labl>1946</labl>
  </catgry>
  <catgry>
    <catValu>1947</catValu>
    <labl>1947</labl>
  </catgry>
  <catgry>
    <catValu>1948</catValu>
    <labl>1948</labl>
  </catgry>
  <catgry>
    <catValu>1949</catValu>
    <labl>1949</labl>
  </catgry>
  <catgry>
    <catValu>1950</catValu>
    <labl>1950</labl>
  </catgry>
  <catgry>
    <catValu>1951</catValu>
    <labl>1951</labl>
  </catgry>
  <catgry>
    <catValu>1952</catValu>
    <labl>1952</labl>
  </catgry>
  <catgry>
    <catValu>1953</catValu>
    <labl>1953</labl>
  </catgry>
  <catgry>
    <catValu>1954</catValu>
    <labl>1954</labl>
  </catgry>
  <catgry>
    <catValu>1955</catValu>
    <labl>1955</labl>
  </catgry>
  <catgry>
    <catValu>1956</catValu>
    <labl>1956</labl>
  </catgry>
  <catgry>
    <catValu>1957</catValu>
    <labl>1957</labl>
  </catgry>
  <catgry>
    <catValu>1958</catValu>
    <labl>1958</labl>
  </catgry>
  <catgry>
    <catValu>1959</catValu>
    <labl>1959</labl>
  </catgry>
  <catgry>
    <catValu>1960</catValu>
    <labl>1960</labl>
  </catgry>
  <catgry>
    <catValu>1961</catValu>
    <labl>1961</labl>
  </catgry>
  <catgry>
    <catValu>1962</catValu>
    <labl>1962</labl>
  </catgry>
  <catgry>
    <catValu>1963</catValu>
    <labl>1963</labl>
  </catgry>
  <catgry>
    <catValu>1964</catValu>
    <labl>1964</labl>
  </catgry>
  <catgry>
    <catValu>1965</catValu>
    <labl>1965</labl>
  </catgry>
  <catgry>
    <catValu>1966</catValu>
    <labl>1966</labl>
  </catgry>
  <catgry>
    <catValu>1967</catValu>
    <labl>1967</labl>
  </catgry>
  <catgry>
    <catValu>1968</catValu>
    <labl>1968</labl>
  </catgry>
  <catgry>
    <catValu>1969</catValu>
    <labl>1969</labl>
  </catgry>
  <catgry>
    <catValu>1970</catValu>
    <labl>1970</labl>
  </catgry>
  <catgry>
    <catValu>1971</catValu>
    <labl>1971</labl>
  </catgry>
  <catgry>
    <catValu>1972</catValu>
    <labl>1972</labl>
  </catgry>
  <catgry>
    <catValu>1973</catValu>
    <labl>1973</labl>
  </catgry>
  <catgry>
    <catValu>1974</catValu>
    <labl>1974</labl>
  </catgry>
  <catgry>
    <catValu>1975</catValu>
    <labl>1975</labl>
  </catgry>
  <catgry>
    <catValu>1976</catValu>
    <labl>1976</labl>
  </catgry>
  <catgry>
    <catValu>1977</catValu>
    <labl>1977</labl>
  </catgry>
  <catgry>
    <catValu>1978</catValu>
    <labl>1978</labl>
  </catgry>
  <catgry>
    <catValu>1979</catValu>
    <labl>1979</labl>
  </catgry>
  <catgry>
    <catValu>1980</catValu>
    <labl>1980</labl>
  </catgry>
  <catgry>
    <catValu>1981</catValu>
    <labl>1981</labl>
  </catgry>
  <catgry>
    <catValu>1982</catValu>
    <labl>1982</labl>
  </catgry>
  <catgry>
    <catValu>1983</catValu>
    <labl>1983</labl>
  </catgry>
  <catgry>
    <catValu>1984</catValu>
    <labl>1984</labl>
  </catgry>
  <catgry>
    <catValu>1985</catValu>
    <labl>1985</labl>
  </catgry>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>2017</labl>
  </catgry>
  <catgry>
    <catValu>2018</catValu>
    <labl>2018</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For men who have ever been married or lived with a woman, MAR1STYRMN (MV508) reports the year of their first marriage or (for most samples) unmarried cohabitation. The month of the man's first marriage/union is reported in MAR1STMOMN (MV507).</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_MAR1STCMCMN" name="M_MAR1STCMCMN" files="M" intrvl="discrete">
  <labl>Date of first marriage or cohabitation (CMC)</labl>
  <imputation>Date of first marriage or cohabitation (CMC)</imputation>
  <security>Date of first marriage or cohabitation (CMC)</security>
  <embargo>Date of first marriage or cohabitation (CMC)</embargo>
  <respUnit>Date of first marriage or cohabitation (CMC)</respUnit>
  <qstn>
    <qstnLit>113) In what month and year did you get married or start to live together with a woman for the first time?

MONTH: ___
DON'T KNOW MONTH 98

YEAR: ___
DON'T KNOW YEAR 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>MAR1STCMCMN (MV509) reports the century month code (CMC) for the date of the man's first marriage or cohabitation. 

Century month codes (CMC) are particularly useful for checking the consistency of dates, calculating intervals between events, and imputing dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year - 1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" [URL omitted from DDI.] (Rutstein and Rojas, 2006).</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_MAR1STDATINFOMN" name="M_MAR1STDATINFOMN" files="M" intrvl="discrete">
  <labl>Completeness of information, date of first marriage/union</labl>
  <imputation>Completeness of information, date of first marriage/union</imputation>
  <security>Completeness of information, date of first marriage/union</security>
  <embargo>Completeness of information, date of first marriage/union</embargo>
  <respUnit>Completeness of information, date of first marriage/union</respUnit>
  <qstn>
    <qstnLit>113) In what month and year did you get married or start to live together with a woman for the first time?

MONTH: ___
DON'T KNOW MONTH 98

YEAR: ___
DON'T KNOW YEAR 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Month and year reported</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Month and age reported, year imputed</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Year and age reported, month imputed</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Year reported, age and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Age reported, year and month imputed</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Month reported, age and year imputed</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Year and age reported, year ignored</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>All values imputed</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>MAR1STDATINFOMN (MV510) reports the completeness of information for the date of the man's first marriage or cohabitation. See Comparability.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_AGE1STMARMN" name="M_AGE1STMARMN" files="M" intrvl="discrete">
  <labl>Age at first marriage or cohabitation</labl>
  <imputation>Age at first marriage or cohabitation</imputation>
  <security>Age at first marriage or cohabitation</security>
  <embargo>Age at first marriage or cohabitation</embargo>
  <respUnit>Age at first marriage or cohabitation</respUnit>
  <qstn>
    <qstnLit>114) How old were you when you got married or started to live together with a woman for the first time?

AGE IN COMPLETED YEARS: ___
DON'T KNOW AGE 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Marriage not consummated</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>AGE1STMARMN (MV511) reports the man's age at the start of his first marriage or union. This usually refers to when the man first started to live with his first wife or partner. According to the DHS Recode Manuals, "Age at start of first marriage or union is calculated from the century month code of the date of start of first marriage or union and the century month code of the date of birth of the respondent."</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_YRSTO1STMARMN" name="M_YRSTO1STMARMN" files="M" intrvl="discrete">
  <labl>Years since starting date of first marriage/cohabitation</labl>
  <imputation>Years since starting date of first marriage/cohabitation</imputation>
  <security>Years since starting date of first marriage/cohabitation</security>
  <embargo>Years since starting date of first marriage/cohabitation</embargo>
  <respUnit>Years since starting date of first marriage/cohabitation</respUnit>
  <qstn>
    <qstnLit>113) In what month and year did you get married or start to live together with a woman for the first time?

MONTH: ___
DON'T KNOW MONTH 98

YEAR: ___
DON'T KNOW YEAR 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don’t know</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For men who have ever been married or lived with a woman, YRSTO1STMARMN (MV512) reports the number of years from the start of the man's first marriage/union to the date of the survey interview. The calculation is made using century month codes for both dates.

For the month and year of first marriage/union, see MAR1STMOMN (MV507) and MAR1STYRMN (MV508) respectively.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_DURMARGRPMN" name="M_DURMARGRPMN" files="M" intrvl="discrete">
  <labl>Years since date of 1st marriage or cohabitation (grouped)</labl>
  <imputation>Years since date of 1st marriage or cohabitation (grouped)</imputation>
  <security>Years since date of 1st marriage or cohabitation (grouped)</security>
  <embargo>Years since date of 1st marriage or cohabitation (grouped)</embargo>
  <respUnit>Years since date of 1st marriage or cohabitation (grouped)</respUnit>
  <qstn>
    <qstnLit>113) In what month and year did you get married or start to live together with a woman for the first time?

MONTH: ___
DON'T KNOW MONTH 98

YEAR: ___
DON'T KNOW YEAR 98</qstnLit>
  </qstn>
  <catgry>
    <labl>Never married</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>0 to 4</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>5 to 9</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>10 to 14</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>15 to 19</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>20 to 24</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>25 to 29</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>30+</labl>
  </catgry>
  <txt>DURMARGRPMN (MV513) reports the number of years elapsed since the man's first marriage or cohabiting union until the date of the survey interview, in five-year groups. The duration is reported irrespective of whether the respondent is still married or in a union with his first partner.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_WIFEPARNUM" name="M_WIFEPARNUM" files="M" intrvl="discrete">
  <labl>Number of wives/partners in man's household</labl>
  <imputation>Number of wives/partners in man's household</imputation>
  <security>Number of wives/partners in man's household</security>
  <embargo>Number of wives/partners in man's household</embargo>
  <respUnit>Number of wives/partners in man's household</respUnit>
  <qstn>
    <qstnLit>111) Now I'd like to ask you some questions about marriage:
How many spouses/wives do you currently have?

NUMBER: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No wives or partners</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>WIFEPARNUM (MV035) reports the number of wives or co-resident partners the man has for whom household line numbers are available or who are coded as "Not in household" (LINENOWIFE_ALL (MV034_x).

The related variable WIFENUMMN (MV505) reports the number of wives or partners the man currently has.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_LINENOWIFE_ALL" name="M_LINENOWIFE_ALL" files="M" intrvl="discrete">
  <labl>Line number(s) of man's wives/partners in HH</labl>
  <imputation>Line number(s) of man's wives/partners in HH</imputation>
  <security>Line number(s) of man's wives/partners in HH</security>
  <embargo>Line number(s) of man's wives/partners in HH</embargo>
  <respUnit>Line number(s) of man's wives/partners in HH</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>LINENOWIFE_ALL available</labl>
  </catgry>
  <txt>LINENOWIFE_ALL (MV034_x) reports the line number of the man's wives/partners. These variables can be used, in conjunction with HHID to match the men - s data with the women - s data, to allow for the analysis of couples. A value of "0" means the wife was not listed as a member of the household.

LINENOWIFE_ALL consists of a set of eight separate variables, covering the man's first wife/partner (LINENOWIFE_01) up to his eighth wife/partner (LINENOWIFE_08). If LINENOWIFE_ALL is included in a data extract, all these separate variables are included in a researcher's data file.

Information for this variable was collected on all of the man's wives/partners, up to a maximum of eight. In many cases, data were hypothetically collected on up to eight wives/partners, but no men in the survey had so many wives/partners (e.g., no man had seven or eight wives/partners). If, for example, no man in a survey had eight wives/partners and only blank values were included in the original DHS file, then LINENOWIFE_08 would not be available for that survey in IPUMS-DHS.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_LINENOWIFE_01" name="M_LINENOWIFE_01" files="M" intrvl="discrete">
  <labl>Line number of man's 1st wife/partner in HH</labl>
  <imputation>Line number of man's 1st wife/partner in HH</imputation>
  <security>Line number of man's 1st wife/partner in HH</security>
  <embargo>Line number of man's 1st wife/partner in HH</embargo>
  <respUnit>Line number of man's 1st wife/partner in HH</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>Wife not in household</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_LINENOWIFE_02" name="M_LINENOWIFE_02" files="M" intrvl="discrete">
  <labl>Line number of man's 2nd wife/partner in HH</labl>
  <imputation>Line number of man's 2nd wife/partner in HH</imputation>
  <security>Line number of man's 2nd wife/partner in HH</security>
  <embargo>Line number of man's 2nd wife/partner in HH</embargo>
  <respUnit>Line number of man's 2nd wife/partner in HH</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>Wife not in household</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_LINENOWIFE_03" name="M_LINENOWIFE_03" files="M" intrvl="discrete">
  <labl>Line number of man's 3rd wife/partner in HH</labl>
  <imputation>Line number of man's 3rd wife/partner in HH</imputation>
  <security>Line number of man's 3rd wife/partner in HH</security>
  <embargo>Line number of man's 3rd wife/partner in HH</embargo>
  <respUnit>Line number of man's 3rd wife/partner in HH</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>Wife not in household</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_LINENOWIFE_04" name="M_LINENOWIFE_04" files="M" intrvl="discrete">
  <labl>Line number of man's 4th wife/partner in HH</labl>
  <imputation>Line number of man's 4th wife/partner in HH</imputation>
  <security>Line number of man's 4th wife/partner in HH</security>
  <embargo>Line number of man's 4th wife/partner in HH</embargo>
  <respUnit>Line number of man's 4th wife/partner in HH</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>Wife not in household</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_LINENOWIFE_05" name="M_LINENOWIFE_05" files="M" intrvl="discrete">
  <labl>Line number of man's 5th wife/partner in HH</labl>
  <imputation>Line number of man's 5th wife/partner in HH</imputation>
  <security>Line number of man's 5th wife/partner in HH</security>
  <embargo>Line number of man's 5th wife/partner in HH</embargo>
  <respUnit>Line number of man's 5th wife/partner in HH</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>Wife not in household</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_LINENOWIFE_06" name="M_LINENOWIFE_06" files="M" intrvl="discrete">
  <labl>Line number of man's 6th wife/partner in HH</labl>
  <imputation>Line number of man's 6th wife/partner in HH</imputation>
  <security>Line number of man's 6th wife/partner in HH</security>
  <embargo>Line number of man's 6th wife/partner in HH</embargo>
  <respUnit>Line number of man's 6th wife/partner in HH</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>Wife not in household</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_LINENOWIFE_07" name="M_LINENOWIFE_07" files="M" intrvl="discrete">
  <labl>Line number of man's 7th wife/partner in HH</labl>
  <imputation>Line number of man's 7th wife/partner in HH</imputation>
  <security>Line number of man's 7th wife/partner in HH</security>
  <embargo>Line number of man's 7th wife/partner in HH</embargo>
  <respUnit>Line number of man's 7th wife/partner in HH</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>Wife not in household</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_LINENOWIFE_08" name="M_LINENOWIFE_08" files="M" intrvl="discrete">
  <labl>Line number of man's 8th wife/partner in HH</labl>
  <imputation>Line number of man's 8th wife/partner in HH</imputation>
  <security>Line number of man's 8th wife/partner in HH</security>
  <embargo>Line number of man's 8th wife/partner in HH</embargo>
  <respUnit>Line number of man's 8th wife/partner in HH</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>Wife not in household</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_CHEBALIVEMN" name="M_CHEBALIVEMN" files="M" intrvl="discrete">
  <labl>Number of living biological children of male respondent</labl>
  <imputation>Number of living biological children of male respondent</imputation>
  <security>Number of living biological children of male respondent</security>
  <embargo>Number of living biological children of male respondent</embargo>
  <respUnit>Number of living biological children of male respondent</respUnit>
  <qstn>
    <qstnLit>302) How many boys do you have?
How many girls do you have?

BOYS: ___

GIRLS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>CHEBALIVEMN (MV218) reports the total number of surviving biological children fathered by the male respondent. The number reported in CHEBALIVEMN (MV218) is the sum of a series of variables reporting the total number of sons and daughters who are living at home and who are living away from home (MV202 to MV205 - SONSATHOMEMN, DAUSATHOMEMN, SONSAWAYHOMEMN, and DAUSAWAYHOMEMN).

The related variable CHEBMN (MV201) reports the total number of children ever fathered by the male respondent, regardless of survival status.</txt>
  <concept>
    <title>Fertility Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_HHMEMTOTALMN" name="M_HHMEMTOTALMN" files="M" intrvl="discrete">
  <labl>Total number of household members</labl>
  <imputation>Total number of household members</imputation>
  <security>Total number of household members</security>
  <embargo>Total number of household members</embargo>
  <respUnit>Total number of household members</respUnit>
  <qstn>
    <qstnLit>TOTAL NUMBER OF RESIDENTS IN HOUSEHOLD ___
TOTAL NUMBER OF NON-HABITUAL RESIDENTS ___
TOTAL NUMBER OF ELIGIBLE WOMEN ___
TOTAL NUMBER OF ELIGIBLE HUSBANDS ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <txt>HHMEMTOTALMN (MV136) reports the total number of members of the male respondent's household.

According to the DHS Recode Manuals, HHMEMTOTALMN is calculated by summing "the number of usual residents and the number of visitors who slept in the house the previous night that were listed in the household schedule." "Usual residents" of the household are identified by the RESIDENTMN variable when men are the unit of analysis.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_HHELIGMENMN" name="M_HHELIGMENMN" files="M" intrvl="discrete">
  <labl>Number of eligible men in household (de facto)</labl>
  <imputation>Number of eligible men in household (de facto)</imputation>
  <security>Number of eligible men in household (de facto)</security>
  <embargo>Number of eligible men in household (de facto)</embargo>
  <respUnit>Number of eligible men in household (de facto)</respUnit>
  <qstn>
    <qstnLit>TOTAL NUMBER OF RESIDENTS IN HOUSEHOLD ___
TOTAL NUMBER OF NON-HABITUAL RESIDENTS ___
TOTAL NUMBER OF ELIGIBLE WOMEN ___
TOTAL NUMBER OF ELIGIBLE HUSBANDS ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <txt>HHELIGMENMN (MV138) reports the number of eligible men in the household, usually defined as males over age 15 who slept in the household the previous night (regardless of whether they were usual residents or visitors). The age and marital status guidelines for defining eligible men varies across samples. See the Universe tab for samples of interest.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_HHEADAGEMN" name="M_HHEADAGEMN" files="M" intrvl="discrete">
  <labl>Age of household head</labl>
  <imputation>Age of household head</imputation>
  <security>Age of household head</security>
  <embargo>Age of household head</embargo>
  <respUnit>Age of household head</respUnit>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>95+</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>HHEADAGEMN (MV152) reports the age of the head of the household.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_HHEADAGEHH" name="M_HHEADAGEHH" files="M" intrvl="discrete">
  <labl>Age of household head (from HH record)</labl>
  <imputation>Age of household head (from HH record)</imputation>
  <security>Age of household head (from HH record)</security>
  <embargo>Age of household head (from HH record)</embargo>
  <respUnit>Age of household head (from HH record)</respUnit>
  <qstn>
    <qstnLit>7) AGE:
How old is (NAME)?

NOTE '97' FOR 97 AND OLDER.

AGE: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>95+</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <txt>HHEADAGEHH (HV220) reports the age of the head of the household.

The information in HHEADAGEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_HHEADSEXMN" name="M_HHEADSEXMN" files="M" intrvl="discrete">
  <labl>Sex of household head</labl>
  <imputation>Sex of household head</imputation>
  <security>Sex of household head</security>
  <embargo>Sex of household head</embargo>
  <respUnit>Sex of household head</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>HHEADSEXMN (MV151) reports the sex of the head of the household.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_HHEADSEXHH" name="M_HHEADSEXHH" files="M" intrvl="discrete">
  <labl>Sex of household head (from hh record)</labl>
  <imputation>Sex of household head (from hh record)</imputation>
  <security>Sex of household head (from hh record)</security>
  <embargo>Sex of household head (from hh record)</embargo>
  <respUnit>Sex of household head (from hh record)</respUnit>
  <qstn>
    <qstnLit>6) SEX:
Is (NAME) male or female?

MALE 1
FEMALE 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>HHEADSEXHH (HV219) reports the sex of the head of the household.

The information in HHEADSEXHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FAMSTRUCTR" name="M_FAMSTRUCTR" files="M" intrvl="discrete">
  <labl>Relationship structure in HH</labl>
  <imputation>Relationship structure in HH</imputation>
  <security>Relationship structure in HH</security>
  <embargo>Relationship structure in HH</embargo>
  <respUnit>Relationship structure in HH</respUnit>
  <qstn>
    <qstnLit>1) NUMBER</qstnLit>
  </qstn>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Unrelated adults</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Three plus related adults</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Two adults, same sex</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Two adults, opp sex</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>One adult</labl>
  </catgry>
  <catgry>
    <labl>No adults</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FAMSTRUCTR (HV217) indicates the relationship structure (no adults, one adult, two related adults of the opposite sex, two related adults of the same sex, three or more related adults, or unrelated adults) in the household. Only usual (de jure) household members aged 15 and over are considered in determining the household's relationship structure. FAMSTRUCTR is a constructed variable, based on information about each household member's age, sex, and relationship to the householder, which was collected when completing the listing of persons in the household at the time of the survey.

The information in FAMSTRUCTR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_SLEEPROOMS" name="M_SLEEPROOMS" files="M" intrvl="discrete">
  <labl>Number of rooms in HH used for sleeping</labl>
  <imputation>Number of rooms in HH used for sleeping</imputation>
  <security>Number of rooms in HH used for sleeping</security>
  <embargo>Number of rooms in HH used for sleeping</embargo>
  <respUnit>Number of rooms in HH used for sleeping</respUnit>
  <qstn>
    <qstnLit>24) In your household, how many rooms do you use for sleeping?

ROOMS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35+</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>SLEEPROOMS (HV216) reports the number of rooms in the household used for sleeping.</txt>
  <concept>
    <title>Housing Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FLOOR" name="M_FLOOR" files="M" intrvl="discrete">
  <labl>Main material of floor</labl>
  <imputation>Main material of floor</imputation>
  <security>Main material of floor</security>
  <embargo>Main material of floor</embargo>
  <respUnit>Main material of floor</respUnit>
  <qstn>
    <qstnLit>25) PRINCIPLE FLOORING MATERIAL.

RECORD OBSERVATION.

NATURAL FLOOR

EARTH/SAND 11

FINISHED FLOOR

PARQUET OR POLISHED WOOD 31
VINYL STRIPS 32
TILE 33
CEMENT 34
RUG 35

OTHER (SPECIFY): ___ 41</qstnLit>
  </qstn>
  <catgry>
    <catValu>116</catValu>
    <labl>Mud and hay</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>391</catValu>
    <labl>Plaster</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>NATURAL</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>Earth-based</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>Earth, sand</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>Earth, mud</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>Earth, mud, clay</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>Sand</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>Dirt/Earth</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Dung-based</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>Dung</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>Earth and dung</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>Mud, dung, sand</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>RUDIMENTARY</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Wood</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>Wood planks</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>Wood and tile</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>Wood/palm/bamboo</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>Palm/bamboo</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>Palm/bamboo/leaves</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>Other rudimentary</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>Broken bricks</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>Adobe</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>Unfinished stone</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>FINISHED</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>Parquet/polished wood</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>Polished wood/vinyl/tiles</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>Vinyl/asphalt strips/linoleum</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>Linoleum</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>Tiles/mosaic</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>Ceramic tiles</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>Cement tiles</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>Ceramic/terrazo tiles</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>Ceramic/marble tiles</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>Tiles/brick</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>Cement/concrete</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>Carpet</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>Terrazzo</labl>
  </catgry>
  <catgry>
    <catValu>370</catValu>
    <labl>Stone</labl>
  </catgry>
  <catgry>
    <catValu>380</catValu>
    <labl>Bricks</labl>
  </catgry>
  <catgry>
    <catValu>390</catValu>
    <labl>Other finished</labl>
  </catgry>
  <catgry>
    <catValu>400</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>Vinyl</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>Mat</labl>
  </catgry>
  <txt>FLOOR (HV213) reports the main material of the floor of the dwelling.  Response categories vary widely across surveys but fall into broad groups (i.e., natural materials, rudimentary processed materials, and finished materials).  See Comparability.</txt>
  <concept>
    <title>Housing Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_ROOF" name="M_ROOF" files="M" intrvl="discrete">
  <labl>Main material of roof</labl>
  <imputation>Main material of roof</imputation>
  <security>Main material of roof</security>
  <embargo>Main material of roof</embargo>
  <respUnit>Main material of roof</respUnit>
  <qstn>
    <qstnLit>26) MAIN ROOF MATERIAL.

RECORD OBSERVATION.

CONCRETE 01
SHEET METAL 02
BANCO [TRANSLATOR NOTE: A TYPE OF MUDBRICK OR ADOBE SPECIFIC TO WEST AFRICA] 03
STRAW 04
CANVAS 05
OTHER (SPECIFY): ___ 06</qstnLit>
  </qstn>
  <catgry>
    <catValu>126</catValu>
    <labl>Mud and hay</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>Sticks/sticks with mud or dung</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>Reinforced brick cement</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>000</catValu>
    <labl>No roof</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>NATURAL</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>Thatch/palm leaf/grass/makuti</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>Thatch/palm leaf</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>Grass, thatch</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>Grass, thatch, makuti</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>Thatch</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>Thatch/mat/leaves</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>Leaves</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>Grass/leaves/mud</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Earth</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>Mud</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>Dung, mud</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>Earth, mud</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>Sod</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>Sod/mud and grass mixture</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>Straw</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>RUDIMENTARY</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Rustic mat</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>Rustic mat, plastic sheets</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>Plastic/polythene sheet</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>Palm/bamboo</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>Palm, bamboo, grass</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>Reed, bamboo</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>Wood planks</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>Wooden tiles, planks</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>Wood, mulch</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>Cardboard</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>Rudimentary - metal</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>Tin cans</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>Iron sheets</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>Other rudimentary</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>Mobile roofs of nomads</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>Skin</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>FINISHED</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>Metal</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>Metal, zinc</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>Corrugated metal sheet, asbestos</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>Corrugated iron</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>Tin</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>Asbetos</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>Wood</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>Cement/concrete</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>Cement</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>Concrete</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>Tiles</labl>
  </catgry>
  <catgry>
    <catValu>341</catValu>
    <labl>Ceramic tiles</labl>
  </catgry>
  <catgry>
    <catValu>342</catValu>
    <labl>Iron and tiles</labl>
  </catgry>
  <catgry>
    <catValu>343</catValu>
    <labl>Tiles/slate</labl>
  </catgry>
  <catgry>
    <catValu>344</catValu>
    <labl>Mud tiles</labl>
  </catgry>
  <catgry>
    <catValu>345</catValu>
    <labl>Ceramic tiles, harvey (steel) tiles</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>Cement fiber</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>Calamine/cement fiber</labl>
  </catgry>
  <catgry>
    <catValu>352</catValu>
    <labl>Asbestos, cement fiber</labl>
  </catgry>
  <catgry>
    <catValu>353</catValu>
    <labl>Zinc/cement fiber</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>Roofing shingles</labl>
  </catgry>
  <catgry>
    <catValu>370</catValu>
    <labl>Bricks</labl>
  </catgry>
  <catgry>
    <catValu>371</catValu>
    <labl>Unburnt bricks</labl>
  </catgry>
  <catgry>
    <catValu>372</catValu>
    <labl>Burnt brick</labl>
  </catgry>
  <catgry>
    <catValu>380</catValu>
    <labl>Stone</labl>
  </catgry>
  <catgry>
    <catValu>381</catValu>
    <labl>Loosely packed stone</labl>
  </catgry>
  <catgry>
    <catValu>382</catValu>
    <labl>Stone slabs</labl>
  </catgry>
  <catgry>
    <catValu>383</catValu>
    <labl>Slate</labl>
  </catgry>
  <catgry>
    <catValu>400</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>Waste materials</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ROOF (HV215) reports the main material of the roof of the dwelling.  Response categories vary widely across surveys but fall into broad groups (i.e., natural materials, rudimentary processed materials, and finished materials).  See Comparability.</txt>
  <concept>
    <title>Housing Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_ELECTRCHH" name="M_ELECTRCHH" files="M" intrvl="discrete">
  <labl>Dwelling has electricity (from hh record)</labl>
  <imputation>Dwelling has electricity (from hh record)</imputation>
  <security>Dwelling has electricity (from hh record)</security>
  <embargo>Dwelling has electricity (from hh record)</embargo>
  <respUnit>Dwelling has electricity (from hh record)</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ELECTRCHH (HV206) indicates whether the household has electricity. Samples vary in how that information was collected.

The information in ELECTRCHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Housing Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TOILETTYPE" name="M_TOILETTYPE" files="M" intrvl="discrete">
  <labl>Type of toilet facility</labl>
  <imputation>Type of toilet facility</imputation>
  <security>Type of toilet facility</security>
  <embargo>Type of toilet facility</embargo>
  <respUnit>Type of toilet facility</respUnit>
  <qstn>
    <qstnLit>22) What kind of toilet is there in your household?

FLUSH TOILET

OWN FLUSH TOILET 11
SHARED FLUSH TOILET 12
PUBLIC FLUSH TOILET 13

PIT TOILET OR LATRINE

TRADITIONAL PIT TOILET 21
VENTILATED IMPROVED PIT (VIP) OR LATRINES 22

NO FACILITY/BRUSH/FIELD 31
OTHER (SPECIFY): ___ 41</qstnLit>
  </qstn>
  <catgry>
    <catValu>3431</catValu>
    <labl>Pit latrine with ventilation pipe, no mesh</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>0000</catValu>
    <labl>NO FACILITY</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>FLUSH TOILET</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Unspecified type of flush toilet</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>Own flush toilet (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>Shared flush toilet (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Modern flush toilet</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Flush to piped sewer system</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>Traditional with tank flush</labl>
  </catgry>
  <catgry>
    <catValu>1400</catValu>
    <labl>Bucket flush toilet</labl>
  </catgry>
  <catgry>
    <catValu>1410</catValu>
    <labl>Flush to pit latrine</labl>
  </catgry>
  <catgry>
    <catValu>1420</catValu>
    <labl>Flush to somewhere else</labl>
  </catgry>
  <catgry>
    <catValu>1430</catValu>
    <labl>Flush, don't know where</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>NON-FLUSHING TOILET</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Composting toilet</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Dry toilet</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Ecosan toilet</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>PIT TOILET LATRINE</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Unspecified type of pit latrine</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Own pit toilet or latrine (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Shared pit toiletor latrine (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>3121</catValu>
    <labl>Public pit toilet or latrine (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>Traditional pit toilet or latrine</labl>
  </catgry>
  <catgry>
    <catValu>3210</catValu>
    <labl>Pit latrine without slab or open pit</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Pit latrine with slab</labl>
  </catgry>
  <catgry>
    <catValu>3400</catValu>
    <labl>Ventilated improved pit latrine</labl>
  </catgry>
  <catgry>
    <catValu>3410</catValu>
    <labl>Covered pit latrine, no slab</labl>
  </catgry>
  <catgry>
    <catValu>3420</catValu>
    <labl>Covered pit latrine with slab</labl>
  </catgry>
  <catgry>
    <catValu>3430</catValu>
    <labl>Covered latrine</labl>
  </catgry>
  <catgry>
    <catValu>3440</catValu>
    <labl>Septic pit</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>UNIMPROVED TOILET</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>Bucket toilet</labl>
  </catgry>
  <catgry>
    <catValu>4200</catValu>
    <labl>River</labl>
  </catgry>
  <catgry>
    <catValu>4300</catValu>
    <labl>Hanging latrine over water source</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1112</catValu>
    <labl>Private flush toilet, outside residence</labl>
  </catgry>
  <catgry>
    <catValu>1211</catValu>
    <labl>Flush to piped sewer system, indoors</labl>
  </catgry>
  <catgry>
    <catValu>1212</catValu>
    <labl>Flush to piped sewer system, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>1213</catValu>
    <labl>Flush to piped sewer system, out  of yard</labl>
  </catgry>
  <catgry>
    <catValu>3310</catValu>
    <labl>Pit latrine with washable slab</labl>
  </catgry>
  <catgry>
    <catValu>3320</catValu>
    <labl>Pit latrine with non-washable slab</labl>
  </catgry>
  <catgry>
    <catValu>3490</catValu>
    <labl>Other improved system</labl>
  </catgry>
  <catgry>
    <catValu>3463</catValu>
    <labl>Latrine to piped public system, out of yard</labl>
  </catgry>
  <catgry>
    <catValu>3462</catValu>
    <labl>Latrine to piped public system, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>3461</catValu>
    <labl>Latrine to piped public system, indoors</labl>
  </catgry>
  <catgry>
    <catValu>3443</catValu>
    <labl>Latrine to septic tank, out of yard</labl>
  </catgry>
  <catgry>
    <catValu>3442</catValu>
    <labl>Latrine to septic tank, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>3441</catValu>
    <labl>Latrine to septic tank, indoors</labl>
  </catgry>
  <catgry>
    <catValu>3212</catValu>
    <labl>Open pit latrine, out of yard</labl>
  </catgry>
  <catgry>
    <catValu>3211</catValu>
    <labl>Open pit latrine, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>1253</catValu>
    <labl>Flush to septic tank, out of yard</labl>
  </catgry>
  <catgry>
    <catValu>1252</catValu>
    <labl>Flush to septic tank, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>1251</catValu>
    <labl>Flush to septic tank, indoors</labl>
  </catgry>
  <catgry>
    <catValu>1250</catValu>
    <labl>Flush to septic tank</labl>
  </catgry>
  <catgry>
    <catValu>1240</catValu>
    <labl>Flush, not to sewer</labl>
  </catgry>
  <catgry>
    <catValu>1233</catValu>
    <labl>Flush to ground water, out of yard</labl>
  </catgry>
  <catgry>
    <catValu>1232</catValu>
    <labl>Flush to ground water, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>1231</catValu>
    <labl>Flush to ground water, indoors</labl>
  </catgry>
  <catgry>
    <catValu>3450</catValu>
    <labl>Latrine with manual flush</labl>
  </catgry>
  <catgry>
    <catValu>3460</catValu>
    <labl>Latrine to piped public system</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1230</catValu>
    <labl>Flush to pipe connected to ground water</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Flush to pipe connected to canal</labl>
  </catgry>
  <catgry>
    <catValu>1132</catValu>
    <labl>Public flush toilet, outside residence</labl>
  </catgry>
  <catgry>
    <catValu>1131</catValu>
    <labl>Public flush toilet, inside residence</labl>
  </catgry>
  <catgry>
    <catValu>1130</catValu>
    <labl>Public flush toilet (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>1111</catValu>
    <labl>Private flush toilet, inside residence</labl>
  </catgry>
  <txt>TOILETTYPE (HV205) reports the household's type of toilet facility, with no facility coded "0." Responses vary widely across surveys; see Comparability.

The information in TOILETTYPE is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_NDRINKWTR" name="M_NDRINKWTR" files="M" intrvl="discrete">
  <labl>Major source of non-drinking water</labl>
  <imputation>Major source of non-drinking water</imputation>
  <security>Major source of non-drinking water</security>
  <embargo>Major source of non-drinking water</embargo>
  <respUnit>Major source of non-drinking water</respUnit>
  <qstn>
    <qstnLit>18) Where does the water your household uses for hand and dishwashing come from?

PIPED WATER

PIPED INTO THE RESIDENCE/YARD/PLOT 11 (GO TO 20)
PUBLIC TAP 12

WELL WATER

WELL IN THE RESIDENCE/YARD/PLOT 21 (GO TO 20)
PUBLIC WELL OR BOREHOLE 22

SURFACE WATER

SPRING 31
RIVER OR STREAM 32
POND/LAKE 33
DAM 34

RAINWATER 41 (GO TO 20)
WATER VENDOR 51
BOTTLED WATER 61 (GO TO 20)
OTHER (SPECIFY): ___ 71</qstnLit>
  </qstn>
  <catgry>
    <catValu>9996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>PIPED WATER</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Piped into own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>Piped into own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>Piped into own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Piped outside own residence/plot</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Public tap/standpipe</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Piped into neighbor's dwelling/yard</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>WELL WATER</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Unprotected/open well</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Open well in own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2111</catValu>
    <labl>Open well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2112</catValu>
    <labl>Open well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>Open public well</labl>
  </catgry>
  <catgry>
    <catValu>2130</catValu>
    <labl>Open well in neighbor's residence</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Protected well</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Protected well in own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2211</catValu>
    <labl>Protected well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2212</catValu>
    <labl>Protected well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2220</catValu>
    <labl>Protected public well</labl>
  </catgry>
  <catgry>
    <catValu>2230</catValu>
    <labl>Tube well or borehole</labl>
  </catgry>
  <catgry>
    <catValu>2231</catValu>
    <labl>Borehole in yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2232</catValu>
    <labl>Public borehole</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Unspecified well</labl>
  </catgry>
  <catgry>
    <catValu>2310</catValu>
    <labl>Unspecified well in residence/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2311</catValu>
    <labl>Unspecified well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2312</catValu>
    <labl>Unspecified well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2313</catValu>
    <labl>Handpump in yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2320</catValu>
    <labl>Unspecified public well</labl>
  </catgry>
  <catgry>
    <catValu>2321</catValu>
    <labl>Public shallow well</labl>
  </catgry>
  <catgry>
    <catValu>2322</catValu>
    <labl>Public traditional well</labl>
  </catgry>
  <catgry>
    <catValu>2323</catValu>
    <labl>Public handpump</labl>
  </catgry>
  <catgry>
    <catValu>2330</catValu>
    <labl>Unspecified neighbor's well</labl>
  </catgry>
  <catgry>
    <catValu>2340</catValu>
    <labl>Unspecified well by type</labl>
  </catgry>
  <catgry>
    <catValu>2341</catValu>
    <labl>Well with pump</labl>
  </catgry>
  <catgry>
    <catValu>2342</catValu>
    <labl>Well without pump</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>SURFACE WATER</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Spring</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Protected spring</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Unprotected spring</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>River/dam/lake/ponds/streams/canal/irrigation channel</labl>
  </catgry>
  <catgry>
    <catValu>3210</catValu>
    <labl>River, stream</labl>
  </catgry>
  <catgry>
    <catValu>3220</catValu>
    <labl>Pond, lake</labl>
  </catgry>
  <catgry>
    <catValu>3230</catValu>
    <labl>Dam</labl>
  </catgry>
  <catgry>
    <catValu>3240</catValu>
    <labl>Canal or river/canal</labl>
  </catgry>
  <catgry>
    <catValu>3250</catValu>
    <labl>Irrigation ditch</labl>
  </catgry>
  <catgry>
    <catValu>3260</catValu>
    <labl>Dugout pond</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Channeled by gravity flow scheme</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>RAINWATER</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>Rainwater collected in tank</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>PURCHASED FROM SUPPLIER</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Tanker truck</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Cart with small tank</labl>
  </catgry>
  <catgry>
    <catValu>5300</catValu>
    <labl>Water vendor</labl>
  </catgry>
  <catgry>
    <catValu>5400</catValu>
    <labl>Bottled water</labl>
  </catgry>
  <catgry>
    <catValu>5410</catValu>
    <labl>Sachet water (in a bag)</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>OTHER SOURCE</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>5201</catValu>
    <labl>Motorcycle with 3 wheels</labl>
  </catgry>
  <txt>NDRINKWTR (HV202) reports the household's main source of water for uses other than drinking (for example, cooking and washing).  Responses vary widely across surveys; see Comparability.

The information in NDRINKWTR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_DRINKWTR" name="M_DRINKWTR" files="M" intrvl="discrete">
  <labl>Major source of drinking water</labl>
  <imputation>Major source of drinking water</imputation>
  <security>Major source of drinking water</security>
  <embargo>Major source of drinking water</embargo>
  <respUnit>Major source of drinking water</respUnit>
  <qstn>
    <qstnLit>21) Where does the water your household uses for drinking come from?

PIPED WATER

PIPED INTO THE RESIDENCE/YARD/PLOT 11
PUBLIC TAP 12

WELL WATER

WELL IN THE RESIDENCE/YARD/PLOT 21
PUBLIC WELL OR BOREHOLE 22

SURFACE WATER

SPRING 31
RIVER OR STREAM 32
POND/LAKE 33
DAM 34

RAINWATER 41
WATER VENDOR 51
BOTTLED WATER 61
OTHER (SPECIFY): ___ 71</qstnLit>
  </qstn>
  <catgry>
    <catValu>2213</catValu>
    <labl>Protected well in neighbor's residence/plot</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>PIPED WATER</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Piped into own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>Piped into own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>Piped into own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Piped outside own residence/plot</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Public tap/standpipe</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Piped into neighbor's dwelling/yard</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>WELL WATER</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Unprotected/open well</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Open well in own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2111</catValu>
    <labl>Open well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2112</catValu>
    <labl>Open well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>Open public well</labl>
  </catgry>
  <catgry>
    <catValu>2130</catValu>
    <labl>Open well in neighbor's residence</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Protected well</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Protected well in own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2211</catValu>
    <labl>Protected well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2212</catValu>
    <labl>Protected well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2220</catValu>
    <labl>Protected public well</labl>
  </catgry>
  <catgry>
    <catValu>2230</catValu>
    <labl>Tube well or borehole</labl>
  </catgry>
  <catgry>
    <catValu>2231</catValu>
    <labl>Borehole in yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2232</catValu>
    <labl>Public borehole</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Unspecified well</labl>
  </catgry>
  <catgry>
    <catValu>2310</catValu>
    <labl>Unspecified well in residence/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2311</catValu>
    <labl>Unspecified well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2312</catValu>
    <labl>Unspecified well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2313</catValu>
    <labl>Handpump in yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2320</catValu>
    <labl>Unspecified public well</labl>
  </catgry>
  <catgry>
    <catValu>2321</catValu>
    <labl>Public shallow well</labl>
  </catgry>
  <catgry>
    <catValu>2322</catValu>
    <labl>Public traditional well</labl>
  </catgry>
  <catgry>
    <catValu>2323</catValu>
    <labl>Public handpump</labl>
  </catgry>
  <catgry>
    <catValu>2330</catValu>
    <labl>Unspecified neighbor's well</labl>
  </catgry>
  <catgry>
    <catValu>2340</catValu>
    <labl>Unspecified well by type</labl>
  </catgry>
  <catgry>
    <catValu>2341</catValu>
    <labl>Well with pump</labl>
  </catgry>
  <catgry>
    <catValu>2342</catValu>
    <labl>Well without pump</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>SURFACE WATER</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Spring</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Protected spring/surface water</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Unprotected spring/surface water</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>River/dam/lake/ponds/streams/canal/irrigation channel</labl>
  </catgry>
  <catgry>
    <catValu>3210</catValu>
    <labl>River, stream</labl>
  </catgry>
  <catgry>
    <catValu>3220</catValu>
    <labl>Pond, lake</labl>
  </catgry>
  <catgry>
    <catValu>3230</catValu>
    <labl>Dam</labl>
  </catgry>
  <catgry>
    <catValu>3240</catValu>
    <labl>Canal or river/canal</labl>
  </catgry>
  <catgry>
    <catValu>3250</catValu>
    <labl>Irrigation ditch</labl>
  </catgry>
  <catgry>
    <catValu>3260</catValu>
    <labl>Dugout pond</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Channeled by gravity flow scheme</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>RAINWATER</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>Rainwater collected in tank</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>PURCHASED FROM SUPPLIER</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Tanker truck</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Cart with small tank</labl>
  </catgry>
  <catgry>
    <catValu>5300</catValu>
    <labl>Water vendor</labl>
  </catgry>
  <catgry>
    <catValu>5400</catValu>
    <labl>Bottled water</labl>
  </catgry>
  <catgry>
    <catValu>5410</catValu>
    <labl>Sachet water (in a bag)</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>OTHER SOURCE</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1211</catValu>
    <labl>Public tap from filtration plant</labl>
  </catgry>
  <catgry>
    <catValu>1212</catValu>
    <labl>Public tap from stone pipes</labl>
  </catgry>
  <catgry>
    <catValu>5310</catValu>
    <labl>Water vendor from unknown source</labl>
  </catgry>
  <catgry>
    <catValu>5320</catValu>
    <labl>Water vendor from protected well</labl>
  </catgry>
  <catgry>
    <catValu>5330</catValu>
    <labl>Water vendor from unprotected well</labl>
  </catgry>
  <catgry>
    <catValu>5340</catValu>
    <labl>Water vendor from pond/lake</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>5500</catValu>
    <labl>Community reverse osmosis plant</labl>
  </catgry>
  <catgry>
    <catValu>5201</catValu>
    <labl>Motorcycle with 3 wheels</labl>
  </catgry>
  <txt>DRINKWTR (HV201) reports the household's main source of drinking water.  Responses vary widely across surveys; see Comparability.

The information in DRINKWTR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_SAMEH2OSRCHH" name="M_SAMEH2OSRCHH" files="M" intrvl="discrete">
  <labl>Same water source used for drinking and other water (HH record)</labl>
  <imputation>Same water source used for drinking and other water (HH record)</imputation>
  <security>Same water source used for drinking and other water (HH record)</security>
  <embargo>Same water source used for drinking and other water (HH record)</embargo>
  <respUnit>Same water source used for drinking and other water (HH record)</respUnit>
  <qstn>
    <qstnLit>20) Does your household use water from the same source for drinking?

YES 1 (GO TO 22)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>With information taken from the household record, SAMEH2OSRCHH (HV203) indicates whether the household used the same source of water for drinking and for other uses (such as laundry and dishwashing).  For samples without this variable, the information could be calculated by comparing the household's reported sources of drinking water and water for other uses.

The information in SAMEH2OSRCHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TIMETOWTRHH" name="M_TIMETOWTRHH" files="M" intrvl="discrete">
  <labl>Time to reach water source and return, in minutes (from HH record)</labl>
  <imputation>Time to reach water source and return, in minutes (from HH record)</imputation>
  <security>Time to reach water source and return, in minutes (from HH record)</security>
  <embargo>Time to reach water source and return, in minutes (from HH record)</embargo>
  <respUnit>Time to reach water source and return, in minutes (from HH record)</respUnit>
  <qstn>
    <qstnLit>19) How much time does it take to go there, get water, and come back?

MINUTES: ___
ON LOCATION 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
  </catgry>
  <catgry>
    <catValu>001</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>002</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>003</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>004</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>005</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>006</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>007</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>008</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>009</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>010</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>011</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>012</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>013</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>014</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>015</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>016</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>017</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>018</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>019</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>020</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>021</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>022</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>023</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>024</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>025</catValu>
    <labl>25</labl>
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  <catgry>
    <catValu>026</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>027</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>028</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>029</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>030</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>031</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>032</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>033</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>034</catValu>
    <labl>34</labl>
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  <catgry>
    <catValu>035</catValu>
    <labl>35</labl>
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  <catgry>
    <catValu>036</catValu>
    <labl>36</labl>
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  <catgry>
    <catValu>037</catValu>
    <labl>37</labl>
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  <catgry>
    <catValu>038</catValu>
    <labl>38</labl>
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  <catgry>
    <catValu>039</catValu>
    <labl>39</labl>
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  <catgry>
    <catValu>040</catValu>
    <labl>40</labl>
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  <catgry>
    <catValu>041</catValu>
    <labl>41</labl>
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  <catgry>
    <catValu>042</catValu>
    <labl>42</labl>
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  <catgry>
    <catValu>043</catValu>
    <labl>43</labl>
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  <catgry>
    <catValu>044</catValu>
    <labl>44</labl>
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  <catgry>
    <catValu>045</catValu>
    <labl>45</labl>
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  <catgry>
    <catValu>046</catValu>
    <labl>46</labl>
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  <catgry>
    <catValu>047</catValu>
    <labl>47</labl>
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  <catgry>
    <catValu>048</catValu>
    <labl>48</labl>
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  <catgry>
    <catValu>049</catValu>
    <labl>49</labl>
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  <catgry>
    <catValu>050</catValu>
    <labl>50</labl>
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  <catgry>
    <catValu>051</catValu>
    <labl>51</labl>
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  <catgry>
    <catValu>052</catValu>
    <labl>52</labl>
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  <catgry>
    <catValu>053</catValu>
    <labl>53</labl>
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  <catgry>
    <catValu>054</catValu>
    <labl>54</labl>
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  <catgry>
    <catValu>055</catValu>
    <labl>55</labl>
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  <catgry>
    <catValu>056</catValu>
    <labl>56</labl>
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  <catgry>
    <catValu>057</catValu>
    <labl>57</labl>
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  <catgry>
    <catValu>058</catValu>
    <labl>58</labl>
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  <catgry>
    <catValu>059</catValu>
    <labl>59</labl>
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  <catgry>
    <catValu>060</catValu>
    <labl>60</labl>
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  <catgry>
    <catValu>061</catValu>
    <labl>61</labl>
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  <catgry>
    <catValu>062</catValu>
    <labl>62</labl>
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  <catgry>
    <catValu>063</catValu>
    <labl>63</labl>
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  <catgry>
    <catValu>064</catValu>
    <labl>64</labl>
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  <catgry>
    <catValu>065</catValu>
    <labl>65</labl>
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  <catgry>
    <catValu>066</catValu>
    <labl>66</labl>
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  <catgry>
    <catValu>067</catValu>
    <labl>67</labl>
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  <catgry>
    <catValu>068</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>069</catValu>
    <labl>69</labl>
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  <catgry>
    <catValu>070</catValu>
    <labl>70</labl>
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  <catgry>
    <catValu>071</catValu>
    <labl>71</labl>
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  <catgry>
    <catValu>072</catValu>
    <labl>72</labl>
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  <catgry>
    <catValu>073</catValu>
    <labl>73</labl>
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  <catgry>
    <catValu>074</catValu>
    <labl>74</labl>
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  <catgry>
    <catValu>075</catValu>
    <labl>75</labl>
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  <catgry>
    <catValu>076</catValu>
    <labl>76</labl>
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  <catgry>
    <catValu>077</catValu>
    <labl>77</labl>
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  <catgry>
    <catValu>078</catValu>
    <labl>78</labl>
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  <catgry>
    <catValu>079</catValu>
    <labl>79</labl>
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  <catgry>
    <catValu>080</catValu>
    <labl>80</labl>
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  <catgry>
    <catValu>081</catValu>
    <labl>81</labl>
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  <catgry>
    <catValu>082</catValu>
    <labl>82</labl>
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  <catgry>
    <catValu>083</catValu>
    <labl>83</labl>
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  <catgry>
    <catValu>084</catValu>
    <labl>84</labl>
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  <catgry>
    <catValu>085</catValu>
    <labl>85</labl>
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  <catgry>
    <catValu>086</catValu>
    <labl>86</labl>
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  <catgry>
    <catValu>087</catValu>
    <labl>87</labl>
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  <catgry>
    <catValu>088</catValu>
    <labl>88</labl>
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  <catgry>
    <catValu>089</catValu>
    <labl>89</labl>
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  <catgry>
    <catValu>090</catValu>
    <labl>90</labl>
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  <catgry>
    <catValu>091</catValu>
    <labl>91</labl>
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  <catgry>
    <catValu>092</catValu>
    <labl>92</labl>
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  <catgry>
    <catValu>093</catValu>
    <labl>93</labl>
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  <catgry>
    <catValu>094</catValu>
    <labl>94</labl>
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  <catgry>
    <catValu>095</catValu>
    <labl>95</labl>
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  <catgry>
    <catValu>096</catValu>
    <labl>96</labl>
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  <catgry>
    <catValu>097</catValu>
    <labl>97</labl>
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  <catgry>
    <catValu>098</catValu>
    <labl>98</labl>
  </catgry>
  <catgry>
    <catValu>099</catValu>
    <labl>99</labl>
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  <catgry>
    <catValu>100</catValu>
    <labl>100</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>101</labl>
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  <catgry>
    <catValu>102</catValu>
    <labl>102</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>103</labl>
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  <catgry>
    <catValu>104</catValu>
    <labl>104</labl>
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  <catgry>
    <catValu>105</catValu>
    <labl>105</labl>
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  <catgry>
    <catValu>106</catValu>
    <labl>106</labl>
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  <catgry>
    <catValu>107</catValu>
    <labl>107</labl>
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  <catgry>
    <catValu>108</catValu>
    <labl>108</labl>
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  <catgry>
    <catValu>109</catValu>
    <labl>109</labl>
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  <catgry>
    <catValu>110</catValu>
    <labl>110</labl>
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  <catgry>
    <catValu>111</catValu>
    <labl>111</labl>
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  <catgry>
    <catValu>112</catValu>
    <labl>112</labl>
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  <catgry>
    <catValu>113</catValu>
    <labl>113</labl>
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  <catgry>
    <catValu>114</catValu>
    <labl>114</labl>
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  <catgry>
    <catValu>115</catValu>
    <labl>115</labl>
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  <catgry>
    <catValu>116</catValu>
    <labl>116</labl>
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  <catgry>
    <catValu>117</catValu>
    <labl>117</labl>
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  <catgry>
    <catValu>118</catValu>
    <labl>118</labl>
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  <catgry>
    <catValu>119</catValu>
    <labl>119</labl>
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  <catgry>
    <catValu>120</catValu>
    <labl>120</labl>
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  <catgry>
    <catValu>121</catValu>
    <labl>121</labl>
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  <catgry>
    <catValu>122</catValu>
    <labl>122</labl>
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  <catgry>
    <catValu>123</catValu>
    <labl>123</labl>
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  <catgry>
    <catValu>124</catValu>
    <labl>124</labl>
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  <catgry>
    <catValu>125</catValu>
    <labl>125</labl>
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  <catgry>
    <catValu>126</catValu>
    <labl>126</labl>
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  <catgry>
    <catValu>127</catValu>
    <labl>127</labl>
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  <catgry>
    <catValu>128</catValu>
    <labl>128</labl>
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  <catgry>
    <catValu>129</catValu>
    <labl>129</labl>
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  <catgry>
    <catValu>130</catValu>
    <labl>130</labl>
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  <catgry>
    <catValu>131</catValu>
    <labl>131</labl>
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  <catgry>
    <catValu>132</catValu>
    <labl>132</labl>
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  <catgry>
    <catValu>133</catValu>
    <labl>133</labl>
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  <catgry>
    <catValu>134</catValu>
    <labl>134</labl>
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  <catgry>
    <catValu>135</catValu>
    <labl>135</labl>
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  <catgry>
    <catValu>136</catValu>
    <labl>136</labl>
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  <catgry>
    <catValu>137</catValu>
    <labl>137</labl>
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  <catgry>
    <catValu>138</catValu>
    <labl>138</labl>
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  <catgry>
    <catValu>139</catValu>
    <labl>139</labl>
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  <catgry>
    <catValu>140</catValu>
    <labl>140</labl>
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  <catgry>
    <catValu>141</catValu>
    <labl>141</labl>
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  <catgry>
    <catValu>142</catValu>
    <labl>142</labl>
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  <catgry>
    <catValu>143</catValu>
    <labl>143</labl>
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  <catgry>
    <catValu>144</catValu>
    <labl>144</labl>
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  <catgry>
    <catValu>145</catValu>
    <labl>145</labl>
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  <catgry>
    <catValu>146</catValu>
    <labl>146</labl>
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  <catgry>
    <catValu>147</catValu>
    <labl>147</labl>
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  <catgry>
    <catValu>148</catValu>
    <labl>148</labl>
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  <catgry>
    <catValu>149</catValu>
    <labl>149</labl>
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  <catgry>
    <catValu>150</catValu>
    <labl>150</labl>
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  <catgry>
    <catValu>151</catValu>
    <labl>151</labl>
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  <catgry>
    <catValu>152</catValu>
    <labl>152</labl>
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  <catgry>
    <catValu>153</catValu>
    <labl>153</labl>
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  <catgry>
    <catValu>154</catValu>
    <labl>154</labl>
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  <catgry>
    <catValu>155</catValu>
    <labl>155</labl>
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  <catgry>
    <catValu>156</catValu>
    <labl>156</labl>
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  <catgry>
    <catValu>157</catValu>
    <labl>157</labl>
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  <catgry>
    <catValu>158</catValu>
    <labl>158</labl>
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  <catgry>
    <catValu>159</catValu>
    <labl>159</labl>
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  <catgry>
    <catValu>160</catValu>
    <labl>160</labl>
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  <catgry>
    <catValu>161</catValu>
    <labl>161</labl>
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  <catgry>
    <catValu>162</catValu>
    <labl>162</labl>
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  <catgry>
    <catValu>163</catValu>
    <labl>163</labl>
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  <catgry>
    <catValu>164</catValu>
    <labl>164</labl>
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  <catgry>
    <catValu>165</catValu>
    <labl>165</labl>
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  <catgry>
    <catValu>166</catValu>
    <labl>166</labl>
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  <catgry>
    <catValu>167</catValu>
    <labl>167</labl>
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  <catgry>
    <catValu>168</catValu>
    <labl>168</labl>
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  <catgry>
    <catValu>169</catValu>
    <labl>169</labl>
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  <catgry>
    <catValu>170</catValu>
    <labl>170</labl>
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  <catgry>
    <catValu>171</catValu>
    <labl>171</labl>
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  <catgry>
    <catValu>172</catValu>
    <labl>172</labl>
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  <catgry>
    <catValu>173</catValu>
    <labl>173</labl>
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  <catgry>
    <catValu>174</catValu>
    <labl>174</labl>
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  <catgry>
    <catValu>175</catValu>
    <labl>175</labl>
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  <catgry>
    <catValu>176</catValu>
    <labl>176</labl>
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  <catgry>
    <catValu>177</catValu>
    <labl>177</labl>
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  <catgry>
    <catValu>178</catValu>
    <labl>178</labl>
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  <catgry>
    <catValu>179</catValu>
    <labl>179</labl>
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  <catgry>
    <catValu>180</catValu>
    <labl>180</labl>
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  <catgry>
    <catValu>181</catValu>
    <labl>181</labl>
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  <catgry>
    <catValu>182</catValu>
    <labl>182</labl>
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  <catgry>
    <catValu>183</catValu>
    <labl>183</labl>
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  <catgry>
    <catValu>184</catValu>
    <labl>184</labl>
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  <catgry>
    <catValu>185</catValu>
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  <catgry>
    <catValu>186</catValu>
    <labl>186</labl>
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  <catgry>
    <catValu>187</catValu>
    <labl>187</labl>
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  <catgry>
    <catValu>188</catValu>
    <labl>188</labl>
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  <catgry>
    <catValu>189</catValu>
    <labl>189</labl>
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  <catgry>
    <catValu>190</catValu>
    <labl>190</labl>
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  <catgry>
    <catValu>191</catValu>
    <labl>191</labl>
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  <catgry>
    <catValu>192</catValu>
    <labl>192</labl>
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  <catgry>
    <catValu>193</catValu>
    <labl>193</labl>
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  <catgry>
    <catValu>194</catValu>
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  <catgry>
    <catValu>195</catValu>
    <labl>195</labl>
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  <catgry>
    <catValu>196</catValu>
    <labl>196</labl>
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  <catgry>
    <catValu>197</catValu>
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  <catgry>
    <catValu>198</catValu>
    <labl>198</labl>
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  <catgry>
    <catValu>199</catValu>
    <labl>199</labl>
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  <catgry>
    <catValu>200</catValu>
    <labl>200</labl>
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  <catgry>
    <catValu>201</catValu>
    <labl>201</labl>
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  <catgry>
    <catValu>202</catValu>
    <labl>202</labl>
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  <catgry>
    <catValu>203</catValu>
    <labl>203</labl>
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  <catgry>
    <catValu>204</catValu>
    <labl>204</labl>
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  <catgry>
    <catValu>205</catValu>
    <labl>205</labl>
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  <catgry>
    <catValu>206</catValu>
    <labl>206</labl>
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  <catgry>
    <catValu>207</catValu>
    <labl>207</labl>
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  <catgry>
    <catValu>208</catValu>
    <labl>208</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>209</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>210</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>211</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>212</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>213</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>214</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>215</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>216</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>217</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>218</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>219</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>220</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>221</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>222</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>223</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>224</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>225</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>226</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>227</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>228</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>229</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>230</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>231</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>232</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>233</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>234</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>235</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>236</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>237</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>238</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>239</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>240</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>241</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>242</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>243</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>244</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>245</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>246</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>247</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>248</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>249</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>250</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>251</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>252</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>253</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>254</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>255</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>256</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>257</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>258</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>259</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>260</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>261</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>262</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>263</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>264</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>265</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>266</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>267</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>268</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>269</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>270</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>271</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>272</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>273</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>274</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>275</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>276</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>277</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>278</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>279</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>280</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>281</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>282</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>283</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>284</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>285</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>286</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>287</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>288</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>289</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>290</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>291</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>292</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>293</labl>
  </catgry>
  <catgry>
    <catValu>294</catValu>
    <labl>294</labl>
  </catgry>
  <catgry>
    <catValu>295</catValu>
    <labl>295</labl>
  </catgry>
  <catgry>
    <catValu>296</catValu>
    <labl>296</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>297</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>298</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>299</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>300</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>301</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>302</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>303</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>304</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>305</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>306</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>307</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>308</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>309</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>310</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>311</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>312</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>313</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>314</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>315</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>316</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>317</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>318</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>319</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>320</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>321</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>322</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>323</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>324</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>325</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>326</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>327</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>328</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>329</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>330</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>331</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>332</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>333</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>334</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>335</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>336</labl>
  </catgry>
  <catgry>
    <catValu>337</catValu>
    <labl>337</labl>
  </catgry>
  <catgry>
    <catValu>338</catValu>
    <labl>338</labl>
  </catgry>
  <catgry>
    <catValu>339</catValu>
    <labl>339</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>340</labl>
  </catgry>
  <catgry>
    <catValu>341</catValu>
    <labl>341</labl>
  </catgry>
  <catgry>
    <catValu>342</catValu>
    <labl>342</labl>
  </catgry>
  <catgry>
    <catValu>343</catValu>
    <labl>343</labl>
  </catgry>
  <catgry>
    <catValu>344</catValu>
    <labl>344</labl>
  </catgry>
  <catgry>
    <catValu>345</catValu>
    <labl>345</labl>
  </catgry>
  <catgry>
    <catValu>346</catValu>
    <labl>346</labl>
  </catgry>
  <catgry>
    <catValu>347</catValu>
    <labl>347</labl>
  </catgry>
  <catgry>
    <catValu>348</catValu>
    <labl>348</labl>
  </catgry>
  <catgry>
    <catValu>349</catValu>
    <labl>349</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>350</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>351</labl>
  </catgry>
  <catgry>
    <catValu>352</catValu>
    <labl>352</labl>
  </catgry>
  <catgry>
    <catValu>353</catValu>
    <labl>353</labl>
  </catgry>
  <catgry>
    <catValu>354</catValu>
    <labl>354</labl>
  </catgry>
  <catgry>
    <catValu>355</catValu>
    <labl>355</labl>
  </catgry>
  <catgry>
    <catValu>356</catValu>
    <labl>356</labl>
  </catgry>
  <catgry>
    <catValu>357</catValu>
    <labl>357</labl>
  </catgry>
  <catgry>
    <catValu>358</catValu>
    <labl>358</labl>
  </catgry>
  <catgry>
    <catValu>359</catValu>
    <labl>359</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>360+</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>On premises</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TIMETOWTRHH (HV204) reports the time in minutes it takes members of the household to get to their main source of water and return to their dwelling.  In IPUMS-DHS, this variable is top-coded at 360 minutes or more (6 hours or longer).

The information in TIMETOWTRHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_BIKEHH" name="M_BIKEHH" files="M" intrvl="discrete">
  <labl>HH has bicycle (from HH record)</labl>
  <imputation>HH has bicycle (from HH record)</imputation>
  <security>HH has bicycle (from HH record)</security>
  <embargo>HH has bicycle (from HH record)</embargo>
  <respUnit>HH has bicycle (from HH record)</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIKEHH (HV210) indicates whether any member of the household has a bicycle. 

The information in BIKEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_CARHH" name="M_CARHH" files="M" intrvl="discrete">
  <labl>HH has car/truck (from HH record)</labl>
  <imputation>HH has car/truck (from HH record)</imputation>
  <security>HH has car/truck (from HH record)</security>
  <embargo>HH has car/truck (from HH record)</embargo>
  <respUnit>HH has car/truck (from HH record)</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>CARHH (HV212) indicates whether any member of the household owns a car or truck (or other motor vehicle). The specific type of motor vehicle mentioned varies across samples. See Comparability. 

The information in CARHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_MOTORCYCLHH" name="M_MOTORCYCLHH" files="M" intrvl="discrete">
  <labl>HH has motorcycle/scooter (from HH record)</labl>
  <imputation>HH has motorcycle/scooter (from HH record)</imputation>
  <security>HH has motorcycle/scooter (from HH record)</security>
  <embargo>HH has motorcycle/scooter (from HH record)</embargo>
  <respUnit>HH has motorcycle/scooter (from HH record)</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>MOTORCYCLHH (HV211) indicates whether any member of the household owns a motorcycle or scooter.

The information in MOTORCYCLHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FRIDGEHH" name="M_FRIDGEHH" files="M" intrvl="discrete">
  <labl>HH has refrigerator (from HH record)</labl>
  <imputation>HH has refrigerator (from HH record)</imputation>
  <security>HH has refrigerator (from HH record)</security>
  <embargo>HH has refrigerator (from HH record)</embargo>
  <respUnit>HH has refrigerator (from HH record)</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FRIDGEHH (HV209) indicates whether the household has a refrigerator. Some samples specified that the refrigerator must be working or owned by the household. See Comparability.

The information in FRIDGEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_RADIOHH" name="M_RADIOHH" files="M" intrvl="discrete">
  <labl>HH has radio (from HH record)</labl>
  <imputation>HH has radio (from HH record)</imputation>
  <security>HH has radio (from HH record)</security>
  <embargo>HH has radio (from HH record)</embargo>
  <respUnit>HH has radio (from HH record)</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>RADIOHH (HV207) indicates whether any member of the household owns a radio. Some samples specified that the radio must be working or fit other specifications. See Comparability.

The information in RADIOHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TVHH" name="M_TVHH" files="M" intrvl="discrete">
  <labl>HH has television (from HH record)</labl>
  <imputation>HH has television (from HH record)</imputation>
  <security>HH has television (from HH record)</security>
  <embargo>HH has television (from HH record)</embargo>
  <respUnit>HH has television (from HH record)</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TVHH (HV208) indicates whether any member of the household has a television. Some samples specified that the TV must be in working order. See Comparability.

The information in TVHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_DRAWNCART" name="M_DRAWNCART" files="M" intrvl="discrete">
  <labl>HH has animal-drawn cart</labl>
  <imputation>HH has animal-drawn cart</imputation>
  <security>HH has animal-drawn cart</security>
  <embargo>HH has animal-drawn cart</embargo>
  <respUnit>HH has animal-drawn cart</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>DRAWNCART indicates whether a household member owned an animal-drawn cart. Question wording varied across samples; see Comparability.

The information in DRAWNCART is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Agricultural possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_CURRWORKMN" name="M_CURRWORKMN" files="M" intrvl="discrete">
  <labl>Currently working</labl>
  <imputation>Currently working</imputation>
  <security>Currently working</security>
  <embargo>Currently working</embargo>
  <respUnit>Currently working</respUnit>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>CURRWORKMN (MV714) indicates whether the man is currently working at a job or business.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_WKCURRJOBMN" name="M_WKCURRJOBMN" files="M" intrvl="discrete">
  <labl>Man's occupation</labl>
  <imputation>Man's occupation</imputation>
  <security>Man's occupation</security>
  <embargo>Man's occupation</embargo>
  <respUnit>Man's occupation</respUnit>
  <qstn>
    <qstnLit>107) What is your main occupation?

_____</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Not currently working</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Professional, technical, or managerial</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Clerical or sales</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Clerical</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Sales</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Agricultural</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Agricultural, self-employed</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Agricultural, employee</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Household, domestic, and services</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Household and domestic</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Services</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>Skilled and unskilled manual</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Skilled manual</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Unskilled manual</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>Armed forces</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>WKCURRJOBMN (MV717) reports the occupation of the male respondent in somewhat standardized categories. The categories included, and the degree of detail within broad categories (e.g., self-employed versus employee in agriculture, or simply agriculture), vary across samples. IPUMS-DHS employs composite coding to maximize comparability across samples (using the first digit of the codes to indicate broad job categories) without loss of detailed information (preserved in the second digit).

The category "agriculture" includes fishermen, foresters, breeders, and hunters as well as farmers.</txt>
  <concept>
    <title>Work Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_EDUCLVLMN" name="M_EDUCLVLMN" files="M" intrvl="discrete">
  <labl>Highest educational level</labl>
  <imputation>Highest educational level</imputation>
  <security>Highest educational level</security>
  <embargo>Highest educational level</embargo>
  <respUnit>Highest educational level</respUnit>
  <qstn>
    <qstnLit>105) What is the highest level of education that you attended: primary, first cycle of secondary, second cycle of secondary, or higher?

PRIMARY 1
SECONDARY, FIRST CYCLE 2
SECONDARY, SECOND CYCLE 3
HIGHER 4
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <labl>No education</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Primary</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Secondary</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Higher</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>EDUCLVLMN (MV106) reports the highest level of school the male respondent attended. Countries vary in the gradations of their school systems, but EDUCLVLMN is a standardized variable reporting level of education in four broad categories:

No education
Primary
Secondary
Higher


The DHS recode manuals state, "In some countries the educational system does not fit naturally within this scheme, and a different categorization was used for the Final Report. In this case, this variable is constructed as accurately as possible from the country's own scheme, and the variable used for the Final Report is included as a country-specific variable."</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_YRSCHLMN" name="M_YRSCHLMN" files="M" intrvl="discrete">
  <labl>Highest year of education in level</labl>
  <imputation>Highest year of education in level</imputation>
  <security>Highest year of education in level</security>
  <embargo>Highest year of education in level</embargo>
  <respUnit>Highest year of education in level</respUnit>
  <qstn>
    <qstnLit>106) What is the highest (class, year) you completed with success at that level?

CLASS: ___

CLASSES FOR PRIMARY LEVEL

INTRODUCTORY COURSE 1
PREPARATORY COURSE 2
ELEMENTARY COURSE 1 3
ELEMENTARY COURSE 2 4
MID-LEVEL COURSE 1 5
MID-LEVEL COURSE 2 6

CLASSES FOR SECONDARY, FIRST CYCLE LEVEL

6TH 1
5TH 2
4TH 3
3RD 4
DON'T KNOW 8

CLASSES FOR SECONDARY, SECOND CYCLE LEVEL

2ND 1
1ST 2
FINAL YEAR 3
DON'T KNOW 8

CLASSES FOR HIGHER LEVEL

FIRST YEAR 1
SECOND YEAR 2
THIRD YEAR 3
FOURTH YEAR AND HIGHER 4
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For men who ever attended school, YRSCHLMN (MV107) reports the number of years of education completed at the highest level of schooling achieved (primary, secondary, or higher), as reported in EDUCLVLMN (MV106). See Comparability.

For the man's total years of education, see EDYRTOTALMN (MV133).</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_EDYRTOTALMN" name="M_EDYRTOTALMN" files="M" intrvl="discrete">
  <labl>Man's total years of education</labl>
  <imputation>Man's total years of education</imputation>
  <security>Man's total years of education</security>
  <embargo>Man's total years of education</embargo>
  <respUnit>Man's total years of education</respUnit>
  <qstn>
    <qstnLit>105) What is the highest level of education that you attended: primary, first cycle of secondary, second cycle of secondary, or higher?

PRIMARY 1
SECONDARY, FIRST CYCLE 2
SECONDARY, SECOND CYCLE 3
HIGHER 4
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>EDYRTOTALMN (MV133) reports the man's education level in single years. This variable is constructed from responses to EDUCLVLMN (MV106) and YRSCHLMN (MV107) as follows:

If EDUCLVLMN = "No education," EDYRTOTALMN = "0"
If EDUCLVLMN = "Primary," EDYRTOTALMN = YRSCHLMN
If EDUCLVLMN = "Secondary," EDYRTOTALMN = YRSCHLMN + x
If EDUCLVLMN = "Higher," EDYRTOTALMN = YRSCHLMN + y
If EDUCLVLMN = "Missing," EDYRTOTALMN = "Missing"

In the above equations, "x" equals the number of years needed to complete primary education, and "y" equals the number of years needed to complete primary and secondary education. The values of "x" and "y" are country-specific.</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_EDACHIEVERMN" name="M_EDACHIEVERMN" files="M" intrvl="discrete">
  <labl>Man's summary educational achievement</labl>
  <imputation>Man's summary educational achievement</imputation>
  <security>Man's summary educational achievement</security>
  <embargo>Man's summary educational achievement</embargo>
  <respUnit>Man's summary educational achievement</respUnit>
  <catgry>
    <labl>No education</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Incomplete primary</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Complete primary</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Incomplete secondary</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Complete secondary</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Higher</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>EDACHIEVERMN (MV149) is a summary variable that reports the man's highest level of education in broad categories. Countries vary in the gradations of their school systems, but EDACHIEVERMN is a standardized variable providing the level of education in six categories:

No education,
Incomplete primary
Complete primary
Incomplete secondary
Complete secondary
Higher


EDACHIEVERMN is constructed from information contained in EDUCLVLMN (MV106) and YRSCHLMN (MV107).</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FERTPREFMN" name="M_FERTPREFMN" files="M" intrvl="discrete">
  <labl>Fertility preference</labl>
  <imputation>Fertility preference</imputation>
  <security>Fertility preference</security>
  <embargo>Fertility preference</embargo>
  <respUnit>Fertility preference</respUnit>
  <catgry>
    <catValu>10</catValu>
    <labl>Have another</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Undecided</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>No more</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Not at risk of having more children</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Sterilized (respondent or partners)</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Wife/partner declared infecund</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Never had sex</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>Man declared infecund</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>No partner</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FERTPREFMN (MV602) reports responses to the question, "Would you like to have a (another) child or would you prefer not to have any (more) children"? The standard response categories are "have another," "no more/none," "undecided," and various categories related to not being at risk of having more children (such as sterilization, infecundity, and not having a partner).

In IPUMS-DHS, all responses in the general category of "not at risk of having more children" share a common first digit of 4, while the second digit distinguishes between the specific reasons (for example, code "41" for "Sterilized [respondent or partners]").</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_IDEALKIDMN" name="M_IDEALKIDMN" files="M" intrvl="discrete">
  <labl>Ideal number of children</labl>
  <imputation>Ideal number of children</imputation>
  <security>Ideal number of children</security>
  <embargo>Ideal number of children</embargo>
  <respUnit>Ideal number of children</respUnit>
  <qstn>
    <qstnLit>312) CHECK 301-302 AND CHECK THE BOX:

NO LIVING CHILDREN: If you could choose exactly the number of children to have in your whole life, how many would that be?

HAS LIVING CHILDREN: If you could go back to the time you did not have any children and could choose exactly the number of children to have in your whole life, how many would that be?

NUMBER: ___
OTHER (SPECIFY): ___ 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90+</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>God's will/ choice</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>As many as possible</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Other non-numeric responses</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>IDEALKIDMN (V613) reports the ideal total number of children the man would have liked to have in his whole life, regardless of how many children he had actually fathered. The information is collected through hypothetical questions such as, "If you could go back to the time you did not have any children and could choose exactly the number of children to have in your whole life, how many would that be?" (for men with living children) or "If you could choose exactly the number of children to have in your whole life, how many would that be?" (for men without living children).

If the man responded with a range of values, IDEALKID reports the midpoint between those values. According to the DHS Recode Manuals, "If the midpoint is not an exact number then the number is rounded up in half the cases and rounded down for the other half." The questionnaires included space for non-numeric "other" responses, such as "Up to God."</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_IDEALKIDGRPMN" name="M_IDEALKIDGRPMN" files="M" intrvl="discrete">
  <labl>Ideal number of children (grouped)</labl>
  <imputation>Ideal number of children (grouped)</imputation>
  <security>Ideal number of children (grouped)</security>
  <embargo>Ideal number of children (grouped)</embargo>
  <respUnit>Ideal number of children (grouped)</respUnit>
  <qstn>
    <qstnLit>312) CHECK 301-302 AND CHECK THE BOX:

NO LIVING CHILDREN: If you could choose exactly the number of children to have in your whole life, how many would that be?

HAS LIVING CHILDREN: If you could go back to the time you did not have any children and could choose exactly the number of children to have in your whole life, how many would that be?

NUMBER: ___
OTHER (SPECIFY): ___ 96</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6+</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Non-numeric response</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>Like IDEALKIDMN, IDEALKIDGRPMN (MV614) reports the total number of children the man would hypothetically like to have in his whole life, regardless of how many children he actually had, but top-codes numeric responses at 6+ children and codes non-numeric responses as 7.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_WIFEFERTPREFMN" name="M_WIFEFERTPREFMN" files="M" intrvl="discrete">
  <labl>Wife's desire for children</labl>
  <imputation>Wife's desire for children</imputation>
  <security>Wife's desire for children</security>
  <embargo>Wife's desire for children</embargo>
  <respUnit>Wife's desire for children</respUnit>
  <qstn>
    <qstnLit>308) Do you think your spouse(s)/wife/wives wants the same number of children that you want, or does she want more or fewer than you want?

SAME 1
MORE 2
LESS 3
DON'T KNOW 8</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Both want same</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Wife wants more</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Wife wants fewer</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>WIFEFERTPREFMN (MV621) reports whether the male respondent believes his partner wants the same number of children, more children, or fewer children than he wants.</txt>
  <concept>
    <title>General family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPKNOTYPMN" name="M_FPKNOTYPMN" files="M" intrvl="discrete">
  <labl>Knows any type of FP method</labl>
  <imputation>Knows any type of FP method</imputation>
  <security>Knows any type of FP method</security>
  <embargo>Knows any type of FP method</embargo>
  <respUnit>Knows any type of FP method</respUnit>
  <qstn>
    <qstnLit>202) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD

01. PILL: Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD: Some women have a "sterilet" that a doctor or nurse places in their uterus.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS: Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL: Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM: Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION: Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION: Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE: Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL: Certain men are careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS: Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS: Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <labl>Knows no method</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Knows only folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Knows only traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Knows modern method</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOTYPMN (MV301) is a summary (recoded) variable indicating whether the man knows about any family planning method(s) and, if so, what type of method (modern method or only a traditional or folkloric method). 

In the DHS, modern methods are the Pill, IUDs, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. 

Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet) that vary across samples.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPKNOPILLMN" name="M_FPKNOPILLMN" files="M" intrvl="discrete">
  <labl>Knows about the Pill for FP</labl>
  <imputation>Knows about the Pill for FP</imputation>
  <security>Knows about the Pill for FP</security>
  <embargo>Knows about the Pill for FP</embargo>
  <respUnit>Knows about the Pill for FP</respUnit>
  <qstn>
    <qstnLit>202) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD

01. PILL: Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD: Some women have a "sterilet" that a doctor or nurse places in their uterus.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS: Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL: Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM: Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION: Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION: Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE: Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL: Certain men are careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS: Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS: Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOPILLMN (MV304_01) indicates whether the man knows about the Pill as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability. In probing questions, the Pill is often described by the following text:

Women can take a pill every day to avoid becoming pregnant.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPKNOIUDMN" name="M_FPKNOIUDMN" files="M" intrvl="discrete">
  <labl>Knows about IUD for FP</labl>
  <imputation>Knows about IUD for FP</imputation>
  <security>Knows about IUD for FP</security>
  <embargo>Knows about IUD for FP</embargo>
  <respUnit>Knows about IUD for FP</respUnit>
  <qstn>
    <qstnLit>202) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD

01. PILL: Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD: Some women have a "sterilet" that a doctor or nurse places in their uterus.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS: Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL: Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM: Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION: Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION: Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE: Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL: Certain men are careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS: Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS: Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOIUDMN (MV304_02) indicates whether the man knows about IUDs (intra-uterine devices) as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability. In probing questions, an IUD is often described by the following text:

Women can have a loop or coil placed inside them by a doctor or a nurse which can prevent pregnancy for one or more years.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPKNOINJMN" name="M_FPKNOINJMN" files="M" intrvl="discrete">
  <labl>Knows about injectable FP</labl>
  <imputation>Knows about injectable FP</imputation>
  <security>Knows about injectable FP</security>
  <embargo>Knows about injectable FP</embargo>
  <respUnit>Knows about injectable FP</respUnit>
  <qstn>
    <qstnLit>202) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD

01. PILL: Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD: Some women have a "sterilet" that a doctor or nurse places in their uterus.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS: Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL: Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM: Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION: Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION: Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE: Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL: Certain men are careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS: Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS: Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOINJMN (MV304_03) indicates whether the man knows about injectables as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability. In probing questions, injectables are often described by the following text:

Women can have an injection by a health provider that stops them from becoming pregnant for one or more months.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPKNOCONMN" name="M_FPKNOCONMN" files="M" intrvl="discrete">
  <labl>Knows about condom for FP</labl>
  <imputation>Knows about condom for FP</imputation>
  <security>Knows about condom for FP</security>
  <embargo>Knows about condom for FP</embargo>
  <respUnit>Knows about condom for FP</respUnit>
  <qstn>
    <qstnLit>202) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD

01. PILL: Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD: Some women have a "sterilet" that a doctor or nurse places in their uterus.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS: Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL: Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM: Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION: Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION: Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE: Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL: Certain men are careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS: Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS: Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOCONMN (MV304_05) indicates whether the man knows about male condoms as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability. In probing questions, male condoms are often described by the following text:

Men can put a rubber sheath on their penis before sexual intercourse.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPKNOFSTMN" name="M_FPKNOFSTMN" files="M" intrvl="discrete">
  <labl>Knows about female sterilization for FP</labl>
  <imputation>Knows about female sterilization for FP</imputation>
  <security>Knows about female sterilization for FP</security>
  <embargo>Knows about female sterilization for FP</embargo>
  <respUnit>Knows about female sterilization for FP</respUnit>
  <qstn>
    <qstnLit>202) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD

01. PILL: Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD: Some women have a "sterilet" that a doctor or nurse places in their uterus.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS: Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL: Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM: Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION: Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION: Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE: Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL: Certain men are careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS: Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS: Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOFSTMN (MV304_06) indicates whether the man knows about female sterilization as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability. In probing questions, female sterilization is often described by the following text:

Women can have an operation to avoid having any more children.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPKNOMSTMN" name="M_FPKNOMSTMN" files="M" intrvl="discrete">
  <labl>Knows about male sterilization for FP</labl>
  <imputation>Knows about male sterilization for FP</imputation>
  <security>Knows about male sterilization for FP</security>
  <embargo>Knows about male sterilization for FP</embargo>
  <respUnit>Knows about male sterilization for FP</respUnit>
  <qstn>
    <qstnLit>202) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD

01. PILL: Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD: Some women have a "sterilet" that a doctor or nurse places in their uterus.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS: Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL: Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM: Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION: Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION: Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE: Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL: Certain men are careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS: Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS: Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOMSTMN (MV304_07) indicates whether the man knows about male sterilization as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability. In probing questions, male sterilization is often described by the following text:

Men can have an operation to avoid having any more children.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPKNORHYMN" name="M_FPKNORHYMN" files="M" intrvl="discrete">
  <labl>Knows about rhythm/periodic abstinence for FP</labl>
  <imputation>Knows about rhythm/periodic abstinence for FP</imputation>
  <security>Knows about rhythm/periodic abstinence for FP</security>
  <embargo>Knows about rhythm/periodic abstinence for FP</embargo>
  <respUnit>Knows about rhythm/periodic abstinence for FP</respUnit>
  <qstn>
    <qstnLit>202) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD

01. PILL: Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD: Some women have a "sterilet" that a doctor or nurse places in their uterus.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS: Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL: Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM: Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION: Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION: Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE: Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL: Certain men are careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS: Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS: Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNORHYMN (MV304_08) indicates whether the man knows about the rhythm method or periodic abstinence as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability. In probing questions, the rhythm method or period abstinence is often described by the following text:

To avoid pregnancy, women do not have sexual intercourse on the days of the month they think they can get pregnant.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPKNOWDMN" name="M_FPKNOWDMN" files="M" intrvl="discrete">
  <labl>Knows about withdrawal for FP</labl>
  <imputation>Knows about withdrawal for FP</imputation>
  <security>Knows about withdrawal for FP</security>
  <embargo>Knows about withdrawal for FP</embargo>
  <respUnit>Knows about withdrawal for FP</respUnit>
  <qstn>
    <qstnLit>202) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD

01. PILL: Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD: Some women have a "sterilet" that a doctor or nurse places in their uterus.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS: Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL: Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM: Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION: Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION: Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE: Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL: Certain men are careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS: Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS: Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOWDMN (MV304_09) indicates whether the man knows about withdrawal as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability. In probing questions, withdrawal is often described by the following text:

Men can be careful and pull out before climax.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPKNODIAFJMN" name="M_FPKNODIAFJMN" files="M" intrvl="discrete">
  <labl>Knows about diaphragm, foam, or jelly for FP</labl>
  <imputation>Knows about diaphragm, foam, or jelly for FP</imputation>
  <security>Knows about diaphragm, foam, or jelly for FP</security>
  <embargo>Knows about diaphragm, foam, or jelly for FP</embargo>
  <respUnit>Knows about diaphragm, foam, or jelly for FP</respUnit>
  <qstn>
    <qstnLit>202) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD

01. PILL: Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD: Some women have a "sterilet" that a doctor or nurse places in their uterus.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS: Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL: Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM: Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION: Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION: Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE: Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL: Certain men are careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS: Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS: Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneous</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>FPKNODIAFJMN indicates whether the man knows about the diaphragm, foam, or (spermacidal) jelly as methods for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability. In probing questions, the diaphragm, foam, or jelly is often described by the following text:

Women can place a sponge, suppository, diaphragm, jelly, or cream inside themselves before intercourse.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPKNOCHARMMN" name="M_FPKNOCHARMMN" files="M" intrvl="discrete">
  <labl>Knows about charms or amulets for FP</labl>
  <imputation>Knows about charms or amulets for FP</imputation>
  <security>Knows about charms or amulets for FP</security>
  <embargo>Knows about charms or amulets for FP</embargo>
  <respUnit>Knows about charms or amulets for FP</respUnit>
  <qstn>
    <qstnLit>202) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD

01. PILL: Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD: Some women have a "sterilet" that a doctor or nurse places in their uterus.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS: Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL: Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM: Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION: Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION: Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE: Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL: Certain men are careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS: Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS: Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>FPKNOCHARMMN indicates whether the man knows about charms, amulets, or gris-gris as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPKNORELIGMN" name="M_FPKNORELIGMN" files="M" intrvl="discrete">
  <labl>Knows about religion for FP</labl>
  <imputation>Knows about religion for FP</imputation>
  <security>Knows about religion for FP</security>
  <embargo>Knows about religion for FP</embargo>
  <respUnit>Knows about religion for FP</respUnit>
  <qstn>
    <qstnLit>202) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD

01. PILL: Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD: Some women have a "sterilet" that a doctor or nurse places in their uterus.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS: Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL: Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM: Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION: Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION: Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE: Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL: Certain men are careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS: Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS: Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>FPKNORELIGMN indicates whether the man knows about religion, such as a religious leader or a holy book, as a method for family planning. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPKNOOMMN" name="M_FPKNOOMMN" files="M" intrvl="discrete">
  <labl>Knows about other method for FP</labl>
  <imputation>Knows about other method for FP</imputation>
  <security>Knows about other method for FP</security>
  <embargo>Knows about other method for FP</embargo>
  <respUnit>Knows about other method for FP</respUnit>
  <qstn>
    <qstnLit>202) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD

01. PILL: Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD: Some women have a "sterilet" that a doctor or nurse places in their uterus.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS: Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL: Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM: Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION: Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION: Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE: Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL: Certain men are careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS: Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS: Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Yes, spontaneously</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Yes, probed</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Method not asked about at all</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPKNOOMMN indicates whether the man knows about any other family planning methods. The meaning of "other" must be interpreted relative to the specific family planning methods included in a particular sample. Some samples differentiate between spontaneous and probed affirmative responses; see Comparability.</txt>
  <concept>
    <title>Knowledge of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPTYPNOWMN" name="M_FPTYPNOWMN" files="M" intrvl="discrete">
  <labl>Current FP use by method type</labl>
  <imputation>Current FP use by method type</imputation>
  <security>Current FP use by method type</security>
  <embargo>Current FP use by method type</embargo>
  <respUnit>Current FP use by method type</respUnit>
  <qstn>
    <qstnLit>208) What method are you currently using?

PILL 01 (GO TO 212)
IUD 02 (GO TO 212)
INJECTIONS 03 (GO TO 212)
DIAPHRAGM/FOAM/GEL 04 (GO TO 212)
CONDOM 05 (GO TO 212)
FEMALE STERILIZATION 06 (GO TO 212)
MALE STERILIZATION 07(GO TO 212)
PERIODIC ABSTINENCE 08 (GO TO 212)
WITHDRAWAL 09 (GO TO 212)
GRIS-GRIS 10 (GO TO 212)
OTHER (SPECIFY): ___ 11 (GO TO 212)</qstnLit>
  </qstn>
  <catgry>
    <labl>No method</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPNOWMN (MV313) indicates whether the man is currently using a modern, traditional, or folkloric method of contraception.

In the DHS, modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPMETHNOWMN" name="M_FPMETHNOWMN" files="M" intrvl="discrete">
  <labl>Current method of FP</labl>
  <imputation>Current method of FP</imputation>
  <security>Current method of FP</security>
  <embargo>Current method of FP</embargo>
  <respUnit>Current method of FP</respUnit>
  <qstn>
    <qstnLit>208) What method are you currently using?

PILL 01 (GO TO 212)
IUD 02 (GO TO 212)
INJECTIONS 03 (GO TO 212)
DIAPHRAGM/FOAM/GEL 04 (GO TO 212)
CONDOM 05 (GO TO 212)
FEMALE STERILIZATION 06 (GO TO 212)
MALE STERILIZATION 07(GO TO 212)
PERIODIC ABSTINENCE 08 (GO TO 212)
WITHDRAWAL 09 (GO TO 212)
GRIS-GRIS 10 (GO TO 212)
OTHER (SPECIFY): ___ 11 (GO TO 212)</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
    <labl>Not using</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>MODERN METHODS</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>Pill</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>IUD</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>Norplant/implants</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>Injections</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>Diaphragm/foam/jelly</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>Diaphragm</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>Foam or jelly</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Condom</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>Male condom</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>Female condom</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>Sterilization</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>Female sterilization</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>Male sterilization</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>Lactional amenorrhea (LAM)</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>Prolonged breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>Emergency contraception</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>Other modern method</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>Contraceptive patch</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>TRADITIONAL METHODS</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Abstinence or period abstinence</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>Periodic abstinence</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>Cycle beads/standard days method (SDM)</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>(Prolonged) abstinence</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>Cervical mucus method</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>National family planning, unspecified</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>Withdrawal</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>Other traditional/folkloric</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>Herbs</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>Gris-gris/amulet</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>Tafo</labl>
  </catgry>
  <catgry>
    <catValu>294</catValu>
    <labl>Strings</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPMETHNOWMN (MV312) reports the contraceptive method the man is currently using.

Answers are grouped under the broad categories of "modern methods," "traditional methods," and "other methods," each with a different first digit. Specific methods are distinguished by the second and third digits. See FPEVUSEMN (MV302) for more information on broad categories of contraceptive methods.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPUSPATRNMN" name="M_FPUSPATRNMN" files="M" intrvl="discrete">
  <labl>Pattern of use of contraceptive method</labl>
  <imputation>Pattern of use of contraceptive method</imputation>
  <security>Pattern of use of contraceptive method</security>
  <embargo>Pattern of use of contraceptive method</embargo>
  <respUnit>Pattern of use of contraceptive method</respUnit>
  <qstn>
    <qstnLit>209) Do you intend to use a method to avoid getting pregnant in the future?

YES 1
NO 2 (GO TO 211)
DON'T KNOW 8 (GO TO 212)</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Currently using</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Ever used, but not currently using</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Used in last 12 months</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Used before last 12 months</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Never used</labl>
  </catgry>
  <txt>FPUSPATRNMN (MV361) reports the man's pattern of contraceptive use by indicating whether he is currently using, has used in the past, or has never used contraception.</txt>
  <concept>
    <title>Recent use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPUSINTENTMN" name="M_FPUSINTENTMN" files="M" intrvl="discrete">
  <labl>FP current use or future intention</labl>
  <imputation>FP current use or future intention</imputation>
  <security>FP current use or future intention</security>
  <embargo>FP current use or future intention</embargo>
  <respUnit>FP current use or future intention</respUnit>
  <qstn>
    <qstnLit>209) Do you intend to use a method to avoid getting pregnant in the future?

YES 1
NO 2 (GO TO 211)
DON'T KNOW 8 (GO TO 212)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Using modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Using traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Non-user intending to use</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Does not intend to use</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Never had sex</labl>
  </catgry>
  <txt>FPUSINTENTMN (MV364) is a constructed variable, drawing on responses to multiple survey questions, that divides men into the following categories: 

Men who are currently using a contraceptive method (either modern or traditional)
Men who are not now using contraception but intend to do so in the future
Men who are neither using contraception now nor intend to do so in the future
Men (in a minority of samples) who never had sex.


IPUMS-DHS users are encouraged to review FPMETHNOWMN (MV312) and FPUSPLANMN (MV362) for additional information on the variables used to construct FPUSINTENTMN.</txt>
  <concept>
    <title>Future use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPUSPLANMN" name="M_FPUSPLANMN" files="M" intrvl="discrete">
  <labl>Intention to use FP in future</labl>
  <imputation>Intention to use FP in future</imputation>
  <security>Intention to use FP in future</security>
  <embargo>Intention to use FP in future</embargo>
  <respUnit>Intention to use FP in future</respUnit>
  <qstn>
    <qstnLit>209) Do you intend to use a method to avoid getting pregnant in the future?

YES 1
NO 2 (GO TO 211)
DON'T KNOW 8 (GO TO 212)</qstnLit>
  </qstn>
  <catgry>
    <catValu>10</catValu>
    <labl>Will use in future</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Use in next 12 months</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Use later</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Unsure about future use</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Unsure about timing</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Unsure about use</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Does not intend to use</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Never had sex</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPUSPLANMN (MV362) is a constructed variable, based on multiple survey questions. The variable reports, for men not currently using contraception, whether the man intends to use contraception in the future and, if so, when he intends to begin use (in the next 12 months or later). Men uncertain about future contraceptive use are subdivided into those who are unsure about using a method and those unsure about the timing of planned future use.</txt>
  <concept>
    <title>Future use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPMETHFUTRMN" name="M_FPMETHFUTRMN" files="M" intrvl="discrete">
  <labl>Preferred future FP method</labl>
  <imputation>Preferred future FP method</imputation>
  <security>Preferred future FP method</security>
  <embargo>Preferred future FP method</embargo>
  <respUnit>Preferred future FP method</respUnit>
  <qstn>
    <qstnLit>210) Which method would you prefer to use?

PILL 01 (GO TO 212)
IUD 02 (GO TO 212)
INJECTIONS 03 (GO TO 212)
DIAPHRAGM/FOAM/GEL 04 (GO TO 212)
CONDOM 05 (GO TO 212)
FEMALE STERILIZATION 06 (GO TO 212)
MALE STERILIZATION 07(GO TO 212)
PERIODIC ABSTINENCE 08 (GO TO 212)
WITHDRAWAL 09 (GO TO 212)
GRIS-GRIS 10 (GO TO 212)
OTHER (SPECIFY): ___ 11 (GO TO 212)
NOT SURE 98 (GO TO 212)</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>MODERN METHODS</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>Pill</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>IUD</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>Norplant/implants</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>Injections</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>Diaphragm/foam/jelly</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>Diaphragm</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>Foam or jelly</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Condom</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>Male condom</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>Female condom</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>Sterilization</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>Female sterilization</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>Male sterilization</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>Lactional amenorrhea (LAM)</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>Prolonged breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>Emergency contraception</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>Other modern method</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>Contraceptive patch</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>Menstrual regulation</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>TRADITIONAL METHODS</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Abstinence or period abstinence</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>Periodic abstinence</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>Cycle beads/standard days method (SDM)</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>(Prolonged) abstinence</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>Cervical mucus method</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>National family planning, unspecified</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>Withdrawal</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>Other traditional/folkloric</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>Herbs</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>Gris-gris/amulet</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>Tafo</labl>
  </catgry>
  <catgry>
    <catValu>294</catValu>
    <labl>Strings</labl>
  </catgry>
  <catgry>
    <catValu>295</catValu>
    <labl>Religion</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For men not currently using a contraceptive method but intending to do so in the future, FPMETHFUTRMN (MV363) reports the family planning method the man would prefer to use.

Answers are grouped under the broad categories of "modern methods," "traditional methods," and "other methods," each with a different first digit. Specific methods are distinguished by the second and third digits. Closely related responses, such as various groupings of diaphragm/foam/jelly, share the first 2 digits in common, while the third digit distinguishes the exact response category.</txt>
  <concept>
    <title>Future use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPYNOTFUSMN" name="M_FPYNOTFUSMN" files="M" intrvl="discrete">
  <labl>Why does not intend to use FP in future</labl>
  <imputation>Why does not intend to use FP in future</imputation>
  <security>Why does not intend to use FP in future</security>
  <embargo>Why does not intend to use FP in future</embargo>
  <respUnit>Why does not intend to use FP in future</respUnit>
  <catgry>
    <catValu>10</catValu>
    <labl>NOT MARRIED</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Not married</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Not intending to marry</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>OTHER LOW FERTILITY RISK</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Not having sex</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Infrequent sex</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>Menopausal or hysterectomy</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>Subfecund or infecund</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>Postpartum or breastfeeding</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>WANTS CHILDREN</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>Wants more children</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>Fatalistic</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>OPPOSITION TO USE</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Respondent opposed</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>Wife/partner opposed</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>Others opposed</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>Religious prohibition</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>Cultural taboo</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>Up to women to use</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>LACK OF KNOWLEDGE</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>Knows no method</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>Knows no source</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>METHOD-RELATED</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>Health concerns</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>Fear of side effects</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>Lack of access</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>Cost too much</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>Inconvenient to use</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>Interfere with body</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>No reason</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Doesn't know if will use in future</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For men who are not currently using a contraceptive method and do not intend to do so in future, FPYNOTFUSMN (MV376) reports why the man does not intend to use family planning in the future.

Responses are grouped into the following broad categories, each with a different first digit: not married, other low fertility risk, wants children, opposition to use, lack of knowledge, method-related, and other. Specific responses within these categories are distinguished by the second digit of the codes.</txt>
  <concept>
    <title>Future use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPEVUSEMN" name="M_FPEVUSEMN" files="M" intrvl="discrete">
  <labl>Ever use any type of FP (folkloric, traditional, modern)</labl>
  <imputation>Ever use any type of FP (folkloric, traditional, modern)</imputation>
  <security>Ever use any type of FP (folkloric, traditional, modern)</security>
  <embargo>Ever use any type of FP (folkloric, traditional, modern)</embargo>
  <respUnit>Ever use any type of FP (folkloric, traditional, modern)</respUnit>
  <qstn>
    <qstnLit>203) Have you ever used (METHOD)?

01. PILL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

02. IUD: Have you ever had a wife/partner who used this method?

YES 1
NO 2

03. INJECTIONS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION: Have you ever had a wife/partner that had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION: Have you ever had an operation to avoid having any more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>Never used</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Used only folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Used only traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Used modern method</labl>
  </catgry>
  <txt>FPEVUSEMN (MV302) is a constructed variable that reports whether the man has ever used a family planning method and, if so, whether he used a modern contraceptive method or only a traditional or folkloric method.  

In the DHS, modern methods are pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPEVUSPILLMN" name="M_FPEVUSPILLMN" files="M" intrvl="discrete">
  <labl>Ever usethe  Pill for FP</labl>
  <imputation>Ever usethe  Pill for FP</imputation>
  <security>Ever usethe  Pill for FP</security>
  <embargo>Ever usethe  Pill for FP</embargo>
  <respUnit>Ever usethe  Pill for FP</respUnit>
  <qstn>
    <qstnLit>203) Have you ever used (METHOD)?

01. PILL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

02. IUD: Have you ever had a wife/partner who used this method?

YES 1
NO 2

03. INJECTIONS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION: Have you ever had a wife/partner that had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION: Have you ever had an operation to avoid having any more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSPILLMN (MV305_01) indicates whether the man or any of his partners have ever used the Pill to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPEVUSIUDMN" name="M_FPEVUSIUDMN" files="M" intrvl="discrete">
  <labl>Ever use IUD for FP</labl>
  <imputation>Ever use IUD for FP</imputation>
  <security>Ever use IUD for FP</security>
  <embargo>Ever use IUD for FP</embargo>
  <respUnit>Ever use IUD for FP</respUnit>
  <qstn>
    <qstnLit>203) Have you ever used (METHOD)?

01. PILL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

02. IUD: Have you ever had a wife/partner who used this method?

YES 1
NO 2

03. INJECTIONS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION: Have you ever had a wife/partner that had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION: Have you ever had an operation to avoid having any more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSIUDMN (MV305_02) indicates whether the man or any of his partners have ever used an IUD to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPEVUSINJMN" name="M_FPEVUSINJMN" files="M" intrvl="discrete">
  <labl>Ever use injectable for FP</labl>
  <imputation>Ever use injectable for FP</imputation>
  <security>Ever use injectable for FP</security>
  <embargo>Ever use injectable for FP</embargo>
  <respUnit>Ever use injectable for FP</respUnit>
  <qstn>
    <qstnLit>203) Have you ever used (METHOD)?

01. PILL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

02. IUD: Have you ever had a wife/partner who used this method?

YES 1
NO 2

03. INJECTIONS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION: Have you ever had a wife/partner that had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION: Have you ever had an operation to avoid having any more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSINJMN (MV305_03) indicates whether the man or any of his partners have ever used injectables to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPEVUSCONMN" name="M_FPEVUSCONMN" files="M" intrvl="discrete">
  <labl>Ever use condom for FP</labl>
  <imputation>Ever use condom for FP</imputation>
  <security>Ever use condom for FP</security>
  <embargo>Ever use condom for FP</embargo>
  <respUnit>Ever use condom for FP</respUnit>
  <qstn>
    <qstnLit>203) Have you ever used (METHOD)?

01. PILL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

02. IUD: Have you ever had a wife/partner who used this method?

YES 1
NO 2

03. INJECTIONS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION: Have you ever had a wife/partner that had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION: Have you ever had an operation to avoid having any more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSCONMN (MV305_05) indicates whether the man has ever used condoms to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPEVUSFSTMN" name="M_FPEVUSFSTMN" files="M" intrvl="discrete">
  <labl>Ever use female sterilization for FP</labl>
  <imputation>Ever use female sterilization for FP</imputation>
  <security>Ever use female sterilization for FP</security>
  <embargo>Ever use female sterilization for FP</embargo>
  <respUnit>Ever use female sterilization for FP</respUnit>
  <qstn>
    <qstnLit>203) Have you ever used (METHOD)?

01. PILL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

02. IUD: Have you ever had a wife/partner who used this method?

YES 1
NO 2

03. INJECTIONS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION: Have you ever had a wife/partner that had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION: Have you ever had an operation to avoid having any more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSFSTMN (MV305_06) indicates whether the man or any of his partners have ever used female sterilization to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPEVUSMSTMN" name="M_FPEVUSMSTMN" files="M" intrvl="discrete">
  <labl>Ever use male sterilization for FP</labl>
  <imputation>Ever use male sterilization for FP</imputation>
  <security>Ever use male sterilization for FP</security>
  <embargo>Ever use male sterilization for FP</embargo>
  <respUnit>Ever use male sterilization for FP</respUnit>
  <qstn>
    <qstnLit>203) Have you ever used (METHOD)?

01. PILL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

02. IUD: Have you ever had a wife/partner who used this method?

YES 1
NO 2

03. INJECTIONS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION: Have you ever had a wife/partner that had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION: Have you ever had an operation to avoid having any more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSMSTMN (MV305_07) indicates whether the man has ever used male sterilization to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPEVUSRHYMN" name="M_FPEVUSRHYMN" files="M" intrvl="discrete">
  <labl>Ever use rhythm/periodic abstinence for FP</labl>
  <imputation>Ever use rhythm/periodic abstinence for FP</imputation>
  <security>Ever use rhythm/periodic abstinence for FP</security>
  <embargo>Ever use rhythm/periodic abstinence for FP</embargo>
  <respUnit>Ever use rhythm/periodic abstinence for FP</respUnit>
  <qstn>
    <qstnLit>203) Have you ever used (METHOD)?

01. PILL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

02. IUD: Have you ever had a wife/partner who used this method?

YES 1
NO 2

03. INJECTIONS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION: Have you ever had a wife/partner that had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION: Have you ever had an operation to avoid having any more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSRHYMN (MV305_08) indicates whether the man or his partners have ever used the rhythm method or periodic abstinence to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPEVUSWDMN" name="M_FPEVUSWDMN" files="M" intrvl="discrete">
  <labl>Ever use withdrawal for FP</labl>
  <imputation>Ever use withdrawal for FP</imputation>
  <security>Ever use withdrawal for FP</security>
  <embargo>Ever use withdrawal for FP</embargo>
  <respUnit>Ever use withdrawal for FP</respUnit>
  <qstn>
    <qstnLit>203) Have you ever used (METHOD)?

01. PILL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

02. IUD: Have you ever had a wife/partner who used this method?

YES 1
NO 2

03. INJECTIONS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION: Have you ever had a wife/partner that had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION: Have you ever had an operation to avoid having any more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSWDMN (MV305_09) indicates whether the man has ever used the withdrawal method to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPEVUSDIAFJMN" name="M_FPEVUSDIAFJMN" files="M" intrvl="discrete">
  <labl>Ever use diaphragm, foam, or jelly for FP</labl>
  <imputation>Ever use diaphragm, foam, or jelly for FP</imputation>
  <security>Ever use diaphragm, foam, or jelly for FP</security>
  <embargo>Ever use diaphragm, foam, or jelly for FP</embargo>
  <respUnit>Ever use diaphragm, foam, or jelly for FP</respUnit>
  <qstn>
    <qstnLit>203) Have you ever used (METHOD)?

01. PILL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

02. IUD: Have you ever had a wife/partner who used this method?

YES 1
NO 2

03. INJECTIONS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION: Have you ever had a wife/partner that had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION: Have you ever had an operation to avoid having any more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSDIAFJMN indicates whether the man or any of his partners have ever used diaphragms, foam, or jelly to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPEVUSCHARMMN" name="M_FPEVUSCHARMMN" files="M" intrvl="discrete">
  <labl>Ever use charms or amulets for FP</labl>
  <imputation>Ever use charms or amulets for FP</imputation>
  <security>Ever use charms or amulets for FP</security>
  <embargo>Ever use charms or amulets for FP</embargo>
  <respUnit>Ever use charms or amulets for FP</respUnit>
  <qstn>
    <qstnLit>203) Have you ever used (METHOD)?

01. PILL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

02. IUD: Have you ever had a wife/partner who used this method?

YES 1
NO 2

03. INJECTIONS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION: Have you ever had a wife/partner that had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION: Have you ever had an operation to avoid having any more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSCHARMMN indicates whether the man or any of his partners have ever used charms, amulets, or gris-gris to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPEVUSRELIGMN" name="M_FPEVUSRELIGMN" files="M" intrvl="discrete">
  <labl>Ever use religion for FP</labl>
  <imputation>Ever use religion for FP</imputation>
  <security>Ever use religion for FP</security>
  <embargo>Ever use religion for FP</embargo>
  <respUnit>Ever use religion for FP</respUnit>
  <qstn>
    <qstnLit>203) Have you ever used (METHOD)?

01. PILL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

02. IUD: Have you ever had a wife/partner who used this method?

YES 1
NO 2

03. INJECTIONS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION: Have you ever had a wife/partner that had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION: Have you ever had an operation to avoid having any more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSRELIGMN indicates whether the man or any of his partners have ever used religion, such as a religious leader or a holy book, to delay or avoid a pregnancy.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPEVUSOMMN" name="M_FPEVUSOMMN" files="M" intrvl="discrete">
  <labl>Ever use other method for FP</labl>
  <imputation>Ever use other method for FP</imputation>
  <security>Ever use other method for FP</security>
  <embargo>Ever use other method for FP</embargo>
  <respUnit>Ever use other method for FP</respUnit>
  <qstn>
    <qstnLit>203) Have you ever used (METHOD)?

01. PILL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

02. IUD: Have you ever had a wife/partner who used this method?

YES 1
NO 2

03. INJECTIONS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

04. DIAPHRAGM/FOAM/GEL: Have you ever had a wife/partner who used this method?

YES 1
NO 2

05. CONDOM

YES 1
NO 2

06. FEMALE STERILIZATION: Have you ever had a wife/partner that had an operation to avoid having any more children?

YES 1
NO 2

07. MALE STERILIZATION: Have you ever had an operation to avoid having any more children?

YES 1
NO 2

08. RHYTHM, PERIODIC ABSTINENCE

YES 1
NO 2

09. WITHDRAWAL

YES 1
NO 2

10. GRIS-GRIS: Have you ever had a wife/partner who used this method?

YES 1
NO 2

11. OTHER METHODS

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPEVUSOMMN (MV305_10) indicates whether the man or any of his partners have ever used some other method to delay or avoid a pregnancy. The meaning of "other" must be interpreted relative to the specific family planning methods included in a particular sample.</txt>
  <concept>
    <title>Ever use of family planning Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPTYPPILLMN" name="M_FPTYPPILLMN" files="M" intrvl="discrete">
  <labl>Type of method: the Pill</labl>
  <imputation>Type of method: the Pill</imputation>
  <security>Type of method: the Pill</security>
  <embargo>Type of method: the Pill</embargo>
  <respUnit>Type of method: the Pill</respUnit>
  <qstn>
    <qstnLit>202) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD

01. PILL: Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD: Some women have a "sterilet" that a doctor or nurse places in their uterus.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS: Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL: Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM: Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION: Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION: Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE: Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL: Certain men are careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS: Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS: Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPPILLMN (M304A_01) reports whether the Pill is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS, generally modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

IPUMS-DHS users may be interested in the complementary variable FPTYPNOWMN (MV313), which indicates whether the man's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPTYPIUDMN" name="M_FPTYPIUDMN" files="M" intrvl="discrete">
  <labl>Type of method: IUD</labl>
  <imputation>Type of method: IUD</imputation>
  <security>Type of method: IUD</security>
  <embargo>Type of method: IUD</embargo>
  <respUnit>Type of method: IUD</respUnit>
  <qstn>
    <qstnLit>202) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD

01. PILL: Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD: Some women have a "sterilet" that a doctor or nurse places in their uterus.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS: Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL: Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM: Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION: Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION: Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE: Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL: Certain men are careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS: Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS: Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPIUDMN (M304A_02) reports whether IUDs (intrauterine devices) are considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS, generally modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

IPUMS-DHS users may be interested in the complementary variable FPTYPNOWMN (MV313), which indicates whether the man's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPTYPINJMN" name="M_FPTYPINJMN" files="M" intrvl="discrete">
  <labl>Type of method: Injectables</labl>
  <imputation>Type of method: Injectables</imputation>
  <security>Type of method: Injectables</security>
  <embargo>Type of method: Injectables</embargo>
  <respUnit>Type of method: Injectables</respUnit>
  <qstn>
    <qstnLit>202) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD

01. PILL: Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD: Some women have a "sterilet" that a doctor or nurse places in their uterus.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS: Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL: Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM: Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION: Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION: Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE: Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL: Certain men are careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS: Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS: Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPINJMN (M304A_03) reports whether injectables are considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS, generally modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

IPUMS-DHS users may be interested in the complementary variable FPTYPNOWMN (MV313), which indicates whether the man's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPTYPCONMN" name="M_FPTYPCONMN" files="M" intrvl="discrete">
  <labl>Type of method: Condom</labl>
  <imputation>Type of method: Condom</imputation>
  <security>Type of method: Condom</security>
  <embargo>Type of method: Condom</embargo>
  <respUnit>Type of method: Condom</respUnit>
  <qstn>
    <qstnLit>202) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD

01. PILL: Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD: Some women have a "sterilet" that a doctor or nurse places in their uterus.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS: Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL: Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM: Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION: Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION: Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE: Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL: Certain men are careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS: Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS: Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPCONMN (M304A_05) reports whether condoms are considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS, generally modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

IPUMS-DHS users may be interested in the complementary variable FPTYPNOWMN (MV313), which indicates whether the man's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPTYPFSTMN" name="M_FPTYPFSTMN" files="M" intrvl="discrete">
  <labl>Type of method: Female sterilization</labl>
  <imputation>Type of method: Female sterilization</imputation>
  <security>Type of method: Female sterilization</security>
  <embargo>Type of method: Female sterilization</embargo>
  <respUnit>Type of method: Female sterilization</respUnit>
  <qstn>
    <qstnLit>202) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD

01. PILL: Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD: Some women have a "sterilet" that a doctor or nurse places in their uterus.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS: Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL: Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM: Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION: Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION: Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE: Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL: Certain men are careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS: Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS: Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPFSTMN (M304A_06) reports whether female sterilization is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS, generally modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

IPUMS-DHS users may be interested in the complementary variable FPTYPNOWMN (MV313), which indicates whether the man's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPTYPMSTMN" name="M_FPTYPMSTMN" files="M" intrvl="discrete">
  <labl>Type of method: Male sterilization</labl>
  <imputation>Type of method: Male sterilization</imputation>
  <security>Type of method: Male sterilization</security>
  <embargo>Type of method: Male sterilization</embargo>
  <respUnit>Type of method: Male sterilization</respUnit>
  <qstn>
    <qstnLit>202) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD

01. PILL: Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD: Some women have a "sterilet" that a doctor or nurse places in their uterus.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS: Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL: Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM: Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION: Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION: Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE: Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL: Certain men are careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS: Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS: Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPMSTMN (M304A_07) reports whether male sterilization is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS, generally modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

IPUMS-DHS users may be interested in the complementary variable FPTYPNOWMN (MV313), which indicates whether the man's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPTYPRHYMN" name="M_FPTYPRHYMN" files="M" intrvl="discrete">
  <labl>Type of method: Rhythm method/periodic abstinence</labl>
  <imputation>Type of method: Rhythm method/periodic abstinence</imputation>
  <security>Type of method: Rhythm method/periodic abstinence</security>
  <embargo>Type of method: Rhythm method/periodic abstinence</embargo>
  <respUnit>Type of method: Rhythm method/periodic abstinence</respUnit>
  <qstn>
    <qstnLit>202) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD

01. PILL: Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD: Some women have a "sterilet" that a doctor or nurse places in their uterus.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS: Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL: Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM: Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION: Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION: Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE: Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL: Certain men are careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS: Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS: Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPRHYMN (M304A_08) reports whether the rhythm method or periodic abstinence is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS, generally modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

IPUMS-DHS users may be interested in the complementary variable FPTYPNOWMN (MV313), which indicates whether the man's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPTYPWDMN" name="M_FPTYPWDMN" files="M" intrvl="discrete">
  <labl>Type of method: Withdrawal</labl>
  <imputation>Type of method: Withdrawal</imputation>
  <security>Type of method: Withdrawal</security>
  <embargo>Type of method: Withdrawal</embargo>
  <respUnit>Type of method: Withdrawal</respUnit>
  <qstn>
    <qstnLit>202) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD

01. PILL: Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD: Some women have a "sterilet" that a doctor or nurse places in their uterus.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS: Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL: Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM: Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION: Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION: Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE: Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL: Certain men are careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS: Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS: Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPWDMN (M304A_09) reports whether withdrawal is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS, generally modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

IPUMS-DHS users may be interested in the complementary variable FPTYPNOWMN (MV313), which indicates whether the man's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPTYPDIAFJMN" name="M_FPTYPDIAFJMN" files="M" intrvl="discrete">
  <labl>Type of method: Diaphragm, foam, or jelly</labl>
  <imputation>Type of method: Diaphragm, foam, or jelly</imputation>
  <security>Type of method: Diaphragm, foam, or jelly</security>
  <embargo>Type of method: Diaphragm, foam, or jelly</embargo>
  <respUnit>Type of method: Diaphragm, foam, or jelly</respUnit>
  <qstn>
    <qstnLit>202) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD

01. PILL: Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD: Some women have a "sterilet" that a doctor or nurse places in their uterus.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS: Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL: Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM: Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION: Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION: Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE: Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL: Certain men are careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS: Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS: Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPDIAFJMN reports whether the diaphragm, foam, or (spermacidal) jelly are considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS, generally modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

IPUMS-DHS users may be interested in the complementary variable FPTYPNOWMN (MV313), which indicates whether the man's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPTYPCHARMMN" name="M_FPTYPCHARMMN" files="M" intrvl="discrete">
  <labl>Type of method: Charms or amulets</labl>
  <imputation>Type of method: Charms or amulets</imputation>
  <security>Type of method: Charms or amulets</security>
  <embargo>Type of method: Charms or amulets</embargo>
  <respUnit>Type of method: Charms or amulets</respUnit>
  <qstn>
    <qstnLit>202) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD

01. PILL: Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD: Some women have a "sterilet" that a doctor or nurse places in their uterus.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS: Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL: Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM: Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION: Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION: Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE: Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL: Certain men are careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS: Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS: Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPCHARMMN reports whether charms or amulets are considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS, generally modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

IPUMS-DHS users may be interested in the complementary variable FPTYPNOWMN (MV313), which indicates whether the man's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPTYPRELIGMN" name="M_FPTYPRELIGMN" files="M" intrvl="discrete">
  <labl>Type of method: Religion</labl>
  <imputation>Type of method: Religion</imputation>
  <security>Type of method: Religion</security>
  <embargo>Type of method: Religion</embargo>
  <respUnit>Type of method: Religion</respUnit>
  <qstn>
    <qstnLit>202) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD

01. PILL: Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD: Some women have a "sterilet" that a doctor or nurse places in their uterus.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS: Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL: Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM: Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION: Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION: Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE: Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL: Certain men are careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS: Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS: Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <txt>FPTYPRELIGMN reports whether religion, such as a religious leader or a holy book, is considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. 

In the DHS, generally modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

IPUMS-DHS users may be interested in the complementary variable FPTYPNOWMN (MV313), which indicates whether the man's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_FPTYPOMMN" name="M_FPTYPOMMN" files="M" intrvl="discrete">
  <labl>Type of method: Other method (unspecified)</labl>
  <imputation>Type of method: Other method (unspecified)</imputation>
  <security>Type of method: Other method (unspecified)</security>
  <embargo>Type of method: Other method (unspecified)</embargo>
  <respUnit>Type of method: Other method (unspecified)</respUnit>
  <qstn>
    <qstnLit>202) Have you ever heard of (METHOD)?

READ DESCRIPTION OF EACH METHOD

01. PILL: Women can take a pill every day.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

02. IUD: Some women have a "sterilet" that a doctor or nurse places in their uterus.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

03. INJECTIONS: Women can receive an injection by a doctor or nurse to avoid becoming pregnant for several months.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

04. DIAPHRAGM/FOAM/GEL: Women can put a sponge, suppository, diaphragm, jelly, or cream inside them before intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

05. CONDOM: Men can wear a condom during sexual intercourse.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

06. FEMALE STERILIZATION: Women can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

07. MALE STERILIZATION: Men can undergo an operation in order to avoid having any more children.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

08. RHYTHM, PERIODIC ABSTINENCE: Couples can avoid having sexual intercourse on certain days of the month when the woman is more likely to become pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

09. WITHDRAWAL: Certain men are careful and pull out before ejaculation.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

10. GRIS-GRIS: Women can use an amulet to avoid becoming pregnant.

YES/SPONTANEOUS 1
YES/PROBED 2
NO 3 (GO TO NEXT METHOD)

11. OTHER METHODS: Have you heard of other ways or methods that women or men can use to avoid pregnancy?

YES/SPONTANEOUS (SPECIFY): ___ 1
NO 3 (GO QUESTION 305)</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Modern method</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Traditional method</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Folkloric method</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FPTYPOMMN reports whether the unspecified "other" methods are considered to be a modern method, a traditional method, or a folkloric method of family planning in a given sample. The meaning of "other" must be interpreted relative to the specific family planning methods included in a particular sample.

In the DHS, generally modern methods are the Pill, IUD, injections, diaphragm, condom, female sterilization, male sterilization, implants, female condom, foam/jelly, lactational amenorrhea, and emergency contraception. Traditional methods are periodic abstinence (rhythm), withdrawal, and abstinence. Folkloric methods are the category "other" and country-specific methods (such as herbs or amulet), which vary across samples.

IPUMS-DHS users may be interested in the complementary variable FPTYPNOWMN (MV313), which indicates whether the man's current contraceptive method is modern, traditional, or folkloric.</txt>
  <concept>
    <title>Type of family planning method Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_SOIL" name="M_SOIL" files="M" intrvl="discrete">
  <labl>Soil type</labl>
  <imputation>Soil type</imputation>
  <security>Soil type</security>
  <embargo>Soil type</embargo>
  <respUnit>Soil type</respUnit>
  <catgry>
    <catValu>-998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>0001</catValu>
    <labl>Haplic Acrisols</labl>
  </catgry>
  <catgry>
    <catValu>0002</catValu>
    <labl>Haplic Acrisols (Alumic)</labl>
  </catgry>
  <catgry>
    <catValu>0003</catValu>
    <labl>Haplic Acrisols (Ferric)</labl>
  </catgry>
  <catgry>
    <catValu>0004</catValu>
    <labl>Haplic Acrisols (Humic)</labl>
  </catgry>
  <catgry>
    <catValu>0005</catValu>
    <labl>Plinthic Acrisols</labl>
  </catgry>
  <catgry>
    <catValu>0006</catValu>
    <labl>Vetic Acrisols</labl>
  </catgry>
  <catgry>
    <catValu>0007</catValu>
    <labl>Haplic Albeluvisols</labl>
  </catgry>
  <catgry>
    <catValu>0008</catValu>
    <labl>Histic Albeluvisols</labl>
  </catgry>
  <catgry>
    <catValu>0009</catValu>
    <labl>Umbric Albeluvisols</labl>
  </catgry>
  <catgry>
    <catValu>0010</catValu>
    <labl>Cutanic Alisols</labl>
  </catgry>
  <catgry>
    <catValu>0011</catValu>
    <labl>Haplic Alisols</labl>
  </catgry>
  <catgry>
    <catValu>0012</catValu>
    <labl>Aluandic Andosols</labl>
  </catgry>
  <catgry>
    <catValu>0013</catValu>
    <labl>Haplic Andosols</labl>
  </catgry>
  <catgry>
    <catValu>0014</catValu>
    <labl>Vitric Andosols</labl>
  </catgry>
  <catgry>
    <catValu>0015</catValu>
    <labl>Albic Arenosols</labl>
  </catgry>
  <catgry>
    <catValu>0016</catValu>
    <labl>Ferralic Arenosols</labl>
  </catgry>
  <catgry>
    <catValu>0017</catValu>
    <labl>Haplic Arenosols</labl>
  </catgry>
  <catgry>
    <catValu>0018</catValu>
    <labl>Haplic Arenosols (Calcaric)</labl>
  </catgry>
  <catgry>
    <catValu>0019</catValu>
    <labl>Hypoluvic Arenosols</labl>
  </catgry>
  <catgry>
    <catValu>0020</catValu>
    <labl>Protic Arenosols</labl>
  </catgry>
  <catgry>
    <catValu>0021</catValu>
    <labl>Haplic Calcisols</labl>
  </catgry>
  <catgry>
    <catValu>0022</catValu>
    <labl>Haplic Calcisols (Sodic)</labl>
  </catgry>
  <catgry>
    <catValu>0023</catValu>
    <labl>Luvic Calcisols</labl>
  </catgry>
  <catgry>
    <catValu>0024</catValu>
    <labl>Petric Calcisols</labl>
  </catgry>
  <catgry>
    <catValu>0025</catValu>
    <labl>Endogleyic Cambisols</labl>
  </catgry>
  <catgry>
    <catValu>0026</catValu>
    <labl>Ferralic Cambisols</labl>
  </catgry>
  <catgry>
    <catValu>0027</catValu>
    <labl>Haplic Cambisols</labl>
  </catgry>
  <catgry>
    <catValu>0028</catValu>
    <labl>Haplic Cambisols (Calcaric)</labl>
  </catgry>
  <catgry>
    <catValu>0029</catValu>
    <labl>Haplic Cambisols (Chromic)</labl>
  </catgry>
  <catgry>
    <catValu>0030</catValu>
    <labl>Haplic Cambisols (Dystric)</labl>
  </catgry>
  <catgry>
    <catValu>0031</catValu>
    <labl>Haplic Cambisols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0032</catValu>
    <labl>Haplic Cambisols (Humic)</labl>
  </catgry>
  <catgry>
    <catValu>0033</catValu>
    <labl>Haplic Cambisols (Sodic)</labl>
  </catgry>
  <catgry>
    <catValu>0034</catValu>
    <labl>Leptic Cambisols</labl>
  </catgry>
  <catgry>
    <catValu>0035</catValu>
    <labl>Vertic Cambisols</labl>
  </catgry>
  <catgry>
    <catValu>0036</catValu>
    <labl>Calcic Chernozems</labl>
  </catgry>
  <catgry>
    <catValu>0037</catValu>
    <labl>Haplic Chernozems</labl>
  </catgry>
  <catgry>
    <catValu>0038</catValu>
    <labl>Luvic Chernozems</labl>
  </catgry>
  <catgry>
    <catValu>0039</catValu>
    <labl>Haplic Cryosols</labl>
  </catgry>
  <catgry>
    <catValu>0040</catValu>
    <labl>Turbic Cryosols</labl>
  </catgry>
  <catgry>
    <catValu>0041</catValu>
    <labl>Vitric Cryosols</labl>
  </catgry>
  <catgry>
    <catValu>0042</catValu>
    <labl>Petric Durisols</labl>
  </catgry>
  <catgry>
    <catValu>0043</catValu>
    <labl>Acric Ferralsols</labl>
  </catgry>
  <catgry>
    <catValu>0044</catValu>
    <labl>Haplic Ferralsols</labl>
  </catgry>
  <catgry>
    <catValu>0045</catValu>
    <labl>Haplic Ferralsols (Rhodic)</labl>
  </catgry>
  <catgry>
    <catValu>0046</catValu>
    <labl>Haplic Ferralsols (Xanthic)</labl>
  </catgry>
  <catgry>
    <catValu>0047</catValu>
    <labl>Umbric Ferralsols</labl>
  </catgry>
  <catgry>
    <catValu>0048</catValu>
    <labl>Haplic Fluvisols</labl>
  </catgry>
  <catgry>
    <catValu>0049</catValu>
    <labl>Haplic Fluvisols (Arenic)</labl>
  </catgry>
  <catgry>
    <catValu>0050</catValu>
    <labl>Haplic Fluvisols (Calcaric)</labl>
  </catgry>
  <catgry>
    <catValu>0051</catValu>
    <labl>Haplic Fluvisols (Dystric)</labl>
  </catgry>
  <catgry>
    <catValu>0052</catValu>
    <labl>Haplic Fluvisols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0053</catValu>
    <labl>Calcic Gleysols</labl>
  </catgry>
  <catgry>
    <catValu>0054</catValu>
    <labl>Haplic Gleysols</labl>
  </catgry>
  <catgry>
    <catValu>0055</catValu>
    <labl>Haplic Gleysols (Dystric)</labl>
  </catgry>
  <catgry>
    <catValu>0056</catValu>
    <labl>Haplic Gleysols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0057</catValu>
    <labl>Mollic Gleysols</labl>
  </catgry>
  <catgry>
    <catValu>0058</catValu>
    <labl>Umbric Gleysols</labl>
  </catgry>
  <catgry>
    <catValu>0059</catValu>
    <labl>Calcic Gypsisols</labl>
  </catgry>
  <catgry>
    <catValu>0060</catValu>
    <labl>Haplic Gypsisols</labl>
  </catgry>
  <catgry>
    <catValu>0061</catValu>
    <labl>Calcic Histosols</labl>
  </catgry>
  <catgry>
    <catValu>0062</catValu>
    <labl>Cryic Histosols</labl>
  </catgry>
  <catgry>
    <catValu>0063</catValu>
    <labl>Fibric Histosols</labl>
  </catgry>
  <catgry>
    <catValu>0064</catValu>
    <labl>Hemic Histosols</labl>
  </catgry>
  <catgry>
    <catValu>0065</catValu>
    <labl>Sapric Histosols</labl>
  </catgry>
  <catgry>
    <catValu>0066</catValu>
    <labl>Calcic Kastanozems</labl>
  </catgry>
  <catgry>
    <catValu>0067</catValu>
    <labl>Haplic Kastanozems</labl>
  </catgry>
  <catgry>
    <catValu>0068</catValu>
    <labl>Haplic Leptosols</labl>
  </catgry>
  <catgry>
    <catValu>0069</catValu>
    <labl>Haplic Leptosols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0070</catValu>
    <labl>Lithic Leptosols</labl>
  </catgry>
  <catgry>
    <catValu>0071</catValu>
    <labl>Mollic Leptosols</labl>
  </catgry>
  <catgry>
    <catValu>0072</catValu>
    <labl>Rendzic Leptosols</labl>
  </catgry>
  <catgry>
    <catValu>0073</catValu>
    <labl>Haplic Lixisols</labl>
  </catgry>
  <catgry>
    <catValu>0074</catValu>
    <labl>Haplic Lixisols (Chromic)</labl>
  </catgry>
  <catgry>
    <catValu>0075</catValu>
    <labl>Haplic Lixisols (Ferric)</labl>
  </catgry>
  <catgry>
    <catValu>0076</catValu>
    <labl>Albic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0077</catValu>
    <labl>Calcic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0078</catValu>
    <labl>Gleyic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0079</catValu>
    <labl>Haplic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0080</catValu>
    <labl>Haplic Luvisols (Chromic)</labl>
  </catgry>
  <catgry>
    <catValu>0081</catValu>
    <labl>Haplic Luvisols (Ferric)</labl>
  </catgry>
  <catgry>
    <catValu>0082</catValu>
    <labl>Leptic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0083</catValu>
    <labl>Stagnic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0084</catValu>
    <labl>Vertic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0085</catValu>
    <labl>Alic Nitisols</labl>
  </catgry>
  <catgry>
    <catValu>0086</catValu>
    <labl>Haplic Nitisols (Rhodic)</labl>
  </catgry>
  <catgry>
    <catValu>0087</catValu>
    <labl>Haplic Phaeozems</labl>
  </catgry>
  <catgry>
    <catValu>0088</catValu>
    <labl>Leptic Phaeozems</labl>
  </catgry>
  <catgry>
    <catValu>0089</catValu>
    <labl>Luvic Phaeozems</labl>
  </catgry>
  <catgry>
    <catValu>0090</catValu>
    <labl>Endogleyic Planosols</labl>
  </catgry>
  <catgry>
    <catValu>0091</catValu>
    <labl>Haplic Planosols (Dystric)</labl>
  </catgry>
  <catgry>
    <catValu>0092</catValu>
    <labl>Haplic Planosols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0093</catValu>
    <labl>Luvic Planosols</labl>
  </catgry>
  <catgry>
    <catValu>0094</catValu>
    <labl>Solodic Planosols</labl>
  </catgry>
  <catgry>
    <catValu>0095</catValu>
    <labl>Acric Plinthosols</labl>
  </catgry>
  <catgry>
    <catValu>0096</catValu>
    <labl>Lixic Plinthosols</labl>
  </catgry>
  <catgry>
    <catValu>0097</catValu>
    <labl>Gleyic Podzols</labl>
  </catgry>
  <catgry>
    <catValu>0098</catValu>
    <labl>Haplic Podzols</labl>
  </catgry>
  <catgry>
    <catValu>0099</catValu>
    <labl>Aric Regosols</labl>
  </catgry>
  <catgry>
    <catValu>0100</catValu>
    <labl>Calcaric Regosols</labl>
  </catgry>
  <catgry>
    <catValu>0101</catValu>
    <labl>Haplic Regosols (Dystric)</labl>
  </catgry>
  <catgry>
    <catValu>0102</catValu>
    <labl>Haplic Regosols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0103</catValu>
    <labl>Haplic Regosols (Sodic)</labl>
  </catgry>
  <catgry>
    <catValu>0104</catValu>
    <labl>Leptic Regosols</labl>
  </catgry>
  <catgry>
    <catValu>0105</catValu>
    <labl>Gypsic Solonchaks</labl>
  </catgry>
  <catgry>
    <catValu>0106</catValu>
    <labl>Haplic Solonchaks</labl>
  </catgry>
  <catgry>
    <catValu>0107</catValu>
    <labl>Haplic Solonchaks (Sodic)</labl>
  </catgry>
  <catgry>
    <catValu>0108</catValu>
    <labl>Calcic Solonetz</labl>
  </catgry>
  <catgry>
    <catValu>0109</catValu>
    <labl>Gleyic Solonetz</labl>
  </catgry>
  <catgry>
    <catValu>0110</catValu>
    <labl>Haplic Solonetz</labl>
  </catgry>
  <catgry>
    <catValu>0111</catValu>
    <labl>Mollic Solonetz</labl>
  </catgry>
  <catgry>
    <catValu>0112</catValu>
    <labl>Luvic Stagnosols</labl>
  </catgry>
  <catgry>
    <catValu>0113</catValu>
    <labl>Haplic Umbrisols</labl>
  </catgry>
  <catgry>
    <catValu>0114</catValu>
    <labl>Leptic Umbrisols</labl>
  </catgry>
  <catgry>
    <catValu>0115</catValu>
    <labl>Calcic Vertisols</labl>
  </catgry>
  <catgry>
    <catValu>0116</catValu>
    <labl>Haplic Vertisols</labl>
  </catgry>
  <catgry>
    <catValu>0117</catValu>
    <labl>Haplic Vertisols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0118</catValu>
    <labl>Mollic Vertisols</labl>
  </catgry>
  <txt>SOIL reports the predominant soil type within a 5-kilometer circular buffer around each DHS cluster location. The soil attributes reported in SOIL are: soil class (e.g., Leptosols), with 30 class categories, and soil type within that class (e.g., Lithic Leptosols). SOIL is available for every IPUMS-DHS sample with GPS data.

SOIL is based on data from SoilGrids [URL omitted from DDI.]. SoilGrids is a system for automated soil mapping based on global soil profile and covariate data. There are 118 different soil types in the world according to SoilGrids [URL omitted from DDI.]. For the full list of codes and their meaning, see the soil legend [URL omitted from DDI.].

SOIL, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_ECOREGION" name="M_ECOREGION" files="M" intrvl="discrete">
  <labl>Ecoregion of household</labl>
  <imputation>Ecoregion of household</imputation>
  <security>Ecoregion of household</security>
  <embargo>Ecoregion of household</embargo>
  <respUnit>Ecoregion of household</respUnit>
  <catgry>
    <catValu>-0998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>10101</catValu>
    <labl>Admiralty Islands lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10102</catValu>
    <labl>Banda Sea Islands moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>10103</catValu>
    <labl>Biak-Numfoor rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10104</catValu>
    <labl>Buru rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10105</catValu>
    <labl>Central Range montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10106</catValu>
    <labl>Halmahera rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10107</catValu>
    <labl>Huon Peninsula montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10108</catValu>
    <labl>Yapen rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10109</catValu>
    <labl>Lord Howe Island subtropical forests</labl>
  </catgry>
  <catgry>
    <catValu>10110</catValu>
    <labl>Louisiade Archipelago rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10111</catValu>
    <labl>New Britain-New Ireland lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10112</catValu>
    <labl>New Britain-New Ireland montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10113</catValu>
    <labl>New Caledonia rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10114</catValu>
    <labl>Norfolk Island subtropical forests</labl>
  </catgry>
  <catgry>
    <catValu>10115</catValu>
    <labl>Northern New Guinea lowland rain and freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>10116</catValu>
    <labl>Northern New Guinea montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10117</catValu>
    <labl>Queensland tropical rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10118</catValu>
    <labl>Seram rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10119</catValu>
    <labl>Solomon Islands rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10120</catValu>
    <labl>Southeastern Papuan rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10121</catValu>
    <labl>Southern New Guinea freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>10122</catValu>
    <labl>Southern New Guinea lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10123</catValu>
    <labl>Sulawesi lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10124</catValu>
    <labl>Sulawesi montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10125</catValu>
    <labl>Trobriand Islands rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10126</catValu>
    <labl>Vanuatu rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10127</catValu>
    <labl>Vogelkop montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10128</catValu>
    <labl>Vogelkop-Aru lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10201</catValu>
    <labl>Lesser Sundas deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>10202</catValu>
    <labl>New Caledonia dry forests</labl>
  </catgry>
  <catgry>
    <catValu>10203</catValu>
    <labl>Sumba deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>10204</catValu>
    <labl>Timor and Wetar deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>10401</catValu>
    <labl>Chatham Island temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10402</catValu>
    <labl>Eastern Australian temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10403</catValu>
    <labl>Fiordland temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10404</catValu>
    <labl>Nelson Coast temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10405</catValu>
    <labl>North Island temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10406</catValu>
    <labl>Northland temperate kauri forests</labl>
  </catgry>
  <catgry>
    <catValu>10407</catValu>
    <labl>Rakiura Island temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10408</catValu>
    <labl>Richmond temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10409</catValu>
    <labl>Southeast Australia temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10410</catValu>
    <labl>South Island temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10411</catValu>
    <labl>Tasmanian Central Highland forests</labl>
  </catgry>
  <catgry>
    <catValu>10412</catValu>
    <labl>Tasmanian temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10413</catValu>
    <labl>Tasmanian temperate rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10414</catValu>
    <labl>Westland temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10701</catValu>
    <labl>Arnhem Land tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10702</catValu>
    <labl>Brigalow tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10703</catValu>
    <labl>Cape York Peninsula tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10704</catValu>
    <labl>Carpentaria tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10705</catValu>
    <labl>Einasleigh upland savanna</labl>
  </catgry>
  <catgry>
    <catValu>10706</catValu>
    <labl>Kimberly tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10707</catValu>
    <labl>Mitchell grass downs</labl>
  </catgry>
  <catgry>
    <catValu>10708</catValu>
    <labl>Trans Fly savanna and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>10709</catValu>
    <labl>Victoria Plains tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10801</catValu>
    <labl>Cantebury-Otago tussock grasslands</labl>
  </catgry>
  <catgry>
    <catValu>10802</catValu>
    <labl>Eastern Australia mulga shrublands</labl>
  </catgry>
  <catgry>
    <catValu>10803</catValu>
    <labl>Southeast Australia temperate savanna</labl>
  </catgry>
  <catgry>
    <catValu>11001</catValu>
    <labl>Australian Alps montane grasslands</labl>
  </catgry>
  <catgry>
    <catValu>11002</catValu>
    <labl>Central Range sub-alpine grasslands</labl>
  </catgry>
  <catgry>
    <catValu>11003</catValu>
    <labl>South Island montane grasslands</labl>
  </catgry>
  <catgry>
    <catValu>11101</catValu>
    <labl>Antipodes Subantarctic Islands tundra</labl>
  </catgry>
  <catgry>
    <catValu>11201</catValu>
    <labl>Coolgardie woodlands</labl>
  </catgry>
  <catgry>
    <catValu>11202</catValu>
    <labl>Esperance mallee</labl>
  </catgry>
  <catgry>
    <catValu>11203</catValu>
    <labl>Eyre and York mallee</labl>
  </catgry>
  <catgry>
    <catValu>11204</catValu>
    <labl>Jarrah-Karri forest and shrublands</labl>
  </catgry>
  <catgry>
    <catValu>11205</catValu>
    <labl>Swan Coastal Plain Scrub and Woodlands</labl>
  </catgry>
  <catgry>
    <catValu>11206</catValu>
    <labl>Mount Lofty woodlands</labl>
  </catgry>
  <catgry>
    <catValu>11207</catValu>
    <labl>Murray-Darling woodlands and mallee</labl>
  </catgry>
  <catgry>
    <catValu>11208</catValu>
    <labl>Naracoorte woodlands</labl>
  </catgry>
  <catgry>
    <catValu>11209</catValu>
    <labl>Southwest Australia savanna</labl>
  </catgry>
  <catgry>
    <catValu>11210</catValu>
    <labl>Southwest Australia woodlands</labl>
  </catgry>
  <catgry>
    <catValu>11301</catValu>
    <labl>Carnarvon xeric shrublands</labl>
  </catgry>
  <catgry>
    <catValu>11302</catValu>
    <labl>Central Ranges xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>11303</catValu>
    <labl>Gibson desert</labl>
  </catgry>
  <catgry>
    <catValu>11304</catValu>
    <labl>Great Sandy-Tanami desert</labl>
  </catgry>
  <catgry>
    <catValu>11305</catValu>
    <labl>Great Victoria desert</labl>
  </catgry>
  <catgry>
    <catValu>11306</catValu>
    <labl>Nullarbor Plains xeric shrublands</labl>
  </catgry>
  <catgry>
    <catValu>11307</catValu>
    <labl>Pilbara shrublands</labl>
  </catgry>
  <catgry>
    <catValu>11308</catValu>
    <labl>Simpson desert</labl>
  </catgry>
  <catgry>
    <catValu>11309</catValu>
    <labl>Tirari-Sturt stony desert</labl>
  </catgry>
  <catgry>
    <catValu>11310</catValu>
    <labl>Western Australian Mulga shrublands</labl>
  </catgry>
  <catgry>
    <catValu>11401</catValu>
    <labl>New Guinea mangroves</labl>
  </catgry>
  <catgry>
    <catValu>21101</catValu>
    <labl>Marielandia Antarctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>21102</catValu>
    <labl>Maudlandia Antarctic desert</labl>
  </catgry>
  <catgry>
    <catValu>21103</catValu>
    <labl>Scotia Sea Islands tundra</labl>
  </catgry>
  <catgry>
    <catValu>21104</catValu>
    <labl>Southern Indian Ocean Islands tundra</labl>
  </catgry>
  <catgry>
    <catValu>30101</catValu>
    <labl>Albertine Rift montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30102</catValu>
    <labl>Atlantic Equatorial coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>30103</catValu>
    <labl>Cameroonian Highlands forests</labl>
  </catgry>
  <catgry>
    <catValu>30104</catValu>
    <labl>Central Congolian lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30105</catValu>
    <labl>Comoros forests</labl>
  </catgry>
  <catgry>
    <catValu>30106</catValu>
    <labl>Cross-Niger transition forests</labl>
  </catgry>
  <catgry>
    <catValu>30107</catValu>
    <labl>Cross-Sanaga-Bioko coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>30108</catValu>
    <labl>East African montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30109</catValu>
    <labl>Eastern Arc forests</labl>
  </catgry>
  <catgry>
    <catValu>30110</catValu>
    <labl>Eastern Congolian swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>30111</catValu>
    <labl>Eastern Guinean forests</labl>
  </catgry>
  <catgry>
    <catValu>30112</catValu>
    <labl>Ethiopian montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30113</catValu>
    <labl>Granitic Seychelles forests</labl>
  </catgry>
  <catgry>
    <catValu>30114</catValu>
    <labl>Guinean montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30115</catValu>
    <labl>Knysna-Amatole montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30116</catValu>
    <labl>KwaZulu-Cape coastal forest mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30117</catValu>
    <labl>Madagascar lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30118</catValu>
    <labl>Madagascar subhumid forests</labl>
  </catgry>
  <catgry>
    <catValu>30119</catValu>
    <labl>Maputaland coastal forest mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30120</catValu>
    <labl>Mascarene forests</labl>
  </catgry>
  <catgry>
    <catValu>30121</catValu>
    <labl>Mount Cameroon and Bioko montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30122</catValu>
    <labl>Niger Delta swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>30123</catValu>
    <labl>Nigerian lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30124</catValu>
    <labl>Northeastern Congolian lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30125</catValu>
    <labl>Northern Zanzibar-Inhambane coastal forest mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30126</catValu>
    <labl>Northwestern Congolian lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30127</catValu>
    <labl>Sao Tome, Principe and Annobon moist lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30128</catValu>
    <labl>Southern Zanzibar-Inhambane coastal forest mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30129</catValu>
    <labl>Western Congolian swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>30130</catValu>
    <labl>Western Guinean lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30201</catValu>
    <labl>Cape Verde Islands dry forests</labl>
  </catgry>
  <catgry>
    <catValu>30202</catValu>
    <labl>Madagascar dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>30203</catValu>
    <labl>Zambezian Cryptosepalum dry forests</labl>
  </catgry>
  <catgry>
    <catValu>30701</catValu>
    <labl>Angolan Miombo woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30702</catValu>
    <labl>Angolan Mopane woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30703</catValu>
    <labl>Ascension scrub and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30704</catValu>
    <labl>Central Zambezian Miombo woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30705</catValu>
    <labl>East Sudanian savanna</labl>
  </catgry>
  <catgry>
    <catValu>30706</catValu>
    <labl>Eastern Miombo woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30707</catValu>
    <labl>Guinean forest-savanna mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30708</catValu>
    <labl>Itigi-Sumbu thicket</labl>
  </catgry>
  <catgry>
    <catValu>30709</catValu>
    <labl>Kalahari Acacia-Baikiaea woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30710</catValu>
    <labl>Mandara Plateau mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30711</catValu>
    <labl>Northern Acacia-Commiphora bushlands and thickets</labl>
  </catgry>
  <catgry>
    <catValu>30712</catValu>
    <labl>Northern Congolian forest-savanna mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30713</catValu>
    <labl>Sahelian Acacia savanna</labl>
  </catgry>
  <catgry>
    <catValu>30714</catValu>
    <labl>Serengeti volcanic grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30715</catValu>
    <labl>Somali Acacia-Commiphora bushlands and thickets</labl>
  </catgry>
  <catgry>
    <catValu>30716</catValu>
    <labl>Southern Acacia-Commiphora bushlands and thickets</labl>
  </catgry>
  <catgry>
    <catValu>30717</catValu>
    <labl>Southern Africa bushveld</labl>
  </catgry>
  <catgry>
    <catValu>30718</catValu>
    <labl>Southern Congolian forest-savanna mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30719</catValu>
    <labl>Southern Miombo woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30720</catValu>
    <labl>St. Helena scrub and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30721</catValu>
    <labl>Victoria Basin forest-savanna mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30722</catValu>
    <labl>West Sudanian savanna</labl>
  </catgry>
  <catgry>
    <catValu>30723</catValu>
    <labl>Western Congolian forest-savanna mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30724</catValu>
    <labl>Western Zambezian grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30725</catValu>
    <labl>Zambezian and Mopane woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30726</catValu>
    <labl>Zambezian Baikiaea woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30801</catValu>
    <labl>Al Hajar montane woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30802</catValu>
    <labl>Amsterdam and Saint-Paul Islands temperate grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30803</catValu>
    <labl>Tristan Da Cunha-Gough Islands shrub and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30901</catValu>
    <labl>East African halophytics</labl>
  </catgry>
  <catgry>
    <catValu>30902</catValu>
    <labl>Etosha Pan halophytics</labl>
  </catgry>
  <catgry>
    <catValu>30903</catValu>
    <labl>Inner Niger Delta flooded savanna</labl>
  </catgry>
  <catgry>
    <catValu>30904</catValu>
    <labl>Lake Chad flooded savanna</labl>
  </catgry>
  <catgry>
    <catValu>30905</catValu>
    <labl>Saharan flooded grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30906</catValu>
    <labl>Zambezian coastal flooded savanna</labl>
  </catgry>
  <catgry>
    <catValu>30907</catValu>
    <labl>Zambezian flooded grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30908</catValu>
    <labl>Zambezian halophytics</labl>
  </catgry>
  <catgry>
    <catValu>31001</catValu>
    <labl>Angolan montane forest-grassland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>31002</catValu>
    <labl>Angolan scarp savanna and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31003</catValu>
    <labl>Drakensberg alti-montane grasslands and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31004</catValu>
    <labl>Drakensberg montane grasslands, woodlands and forests</labl>
  </catgry>
  <catgry>
    <catValu>31005</catValu>
    <labl>East African montane moorlands</labl>
  </catgry>
  <catgry>
    <catValu>31006</catValu>
    <labl>Eastern Zimbabwe montane forest-grassland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>31007</catValu>
    <labl>Ethiopian montane grasslands and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31008</catValu>
    <labl>Ethiopian montane moorlands</labl>
  </catgry>
  <catgry>
    <catValu>31009</catValu>
    <labl>Highveld grasslands</labl>
  </catgry>
  <catgry>
    <catValu>31010</catValu>
    <labl>Jos Plateau forest-grassland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>31011</catValu>
    <labl>Madagascar ericoid thickets</labl>
  </catgry>
  <catgry>
    <catValu>31012</catValu>
    <labl>Maputaland-Pondoland bushland and thickets</labl>
  </catgry>
  <catgry>
    <catValu>31013</catValu>
    <labl>Rwenzori-Virunga montane moorlands</labl>
  </catgry>
  <catgry>
    <catValu>31014</catValu>
    <labl>South Malawi montane forest-grassland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>31015</catValu>
    <labl>Southern Rift montane forest-grassland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>31201</catValu>
    <labl>Albany thickets</labl>
  </catgry>
  <catgry>
    <catValu>31202</catValu>
    <labl>Lowland fynbos and renosterveld</labl>
  </catgry>
  <catgry>
    <catValu>31203</catValu>
    <labl>Montane fynbos and renosterveld</labl>
  </catgry>
  <catgry>
    <catValu>31301</catValu>
    <labl>Aldabra Island xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>31302</catValu>
    <labl>Arabian Peninsula coastal fog desert</labl>
  </catgry>
  <catgry>
    <catValu>31303</catValu>
    <labl>East Saharan montane xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31304</catValu>
    <labl>Eritrean coastal desert</labl>
  </catgry>
  <catgry>
    <catValu>31305</catValu>
    <labl>Ethiopian xeric grasslands and shrublands</labl>
  </catgry>
  <catgry>
    <catValu>31306</catValu>
    <labl>Gulf of Oman desert and semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>31307</catValu>
    <labl>Hobyo grasslands and shrublands</labl>
  </catgry>
  <catgry>
    <catValu>31308</catValu>
    <labl>Ile Europa and Bassas da India xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>31309</catValu>
    <labl>Kalahari xeric savanna</labl>
  </catgry>
  <catgry>
    <catValu>31310</catValu>
    <labl>Kaokoveld desert</labl>
  </catgry>
  <catgry>
    <catValu>31311</catValu>
    <labl>Madagascar spiny thickets</labl>
  </catgry>
  <catgry>
    <catValu>31312</catValu>
    <labl>Madagascar succulent woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31313</catValu>
    <labl>Masai xeric grasslands and shrublands</labl>
  </catgry>
  <catgry>
    <catValu>31314</catValu>
    <labl>Nama Karoo</labl>
  </catgry>
  <catgry>
    <catValu>31315</catValu>
    <labl>Namib desert</labl>
  </catgry>
  <catgry>
    <catValu>31316</catValu>
    <labl>Namibian savanna woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31318</catValu>
    <labl>Socotra Island xeric shrublands</labl>
  </catgry>
  <catgry>
    <catValu>31319</catValu>
    <labl>Somali montane xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31320</catValu>
    <labl>Southwestern Arabian foothills savanna</labl>
  </catgry>
  <catgry>
    <catValu>31321</catValu>
    <labl>Southwestern Arabian montane woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31322</catValu>
    <labl>Succulent Karoo</labl>
  </catgry>
  <catgry>
    <catValu>31401</catValu>
    <labl>Central African mangroves</labl>
  </catgry>
  <catgry>
    <catValu>31402</catValu>
    <labl>East African mangroves</labl>
  </catgry>
  <catgry>
    <catValu>31403</catValu>
    <labl>Guinean mangroves</labl>
  </catgry>
  <catgry>
    <catValu>31404</catValu>
    <labl>Madagascar mangroves</labl>
  </catgry>
  <catgry>
    <catValu>31405</catValu>
    <labl>Southern Africa mangroves</labl>
  </catgry>
  <catgry>
    <catValu>40101</catValu>
    <labl>Andaman Islands rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40102</catValu>
    <labl>Borneo lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40103</catValu>
    <labl>Borneo montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40104</catValu>
    <labl>Borneo peat swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40105</catValu>
    <labl>Brahmaputra Valley semi-evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40106</catValu>
    <labl>Cardamom Mountains rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40107</catValu>
    <labl>Chao Phraya freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40108</catValu>
    <labl>Chao Phraya lowland moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40109</catValu>
    <labl>Chin Hills-Arakan Yoma montane forests</labl>
  </catgry>
  <catgry>
    <catValu>40110</catValu>
    <labl>Christmas and Cocos Islands tropical forests</labl>
  </catgry>
  <catgry>
    <catValu>40111</catValu>
    <labl>Eastern highlands moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40112</catValu>
    <labl>Eastern Java-Bali montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40113</catValu>
    <labl>Eastern Java-Bali rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40114</catValu>
    <labl>Greater Negros-Panay rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40115</catValu>
    <labl>Himalayan subtropical broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>40116</catValu>
    <labl>Irrawaddy freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40117</catValu>
    <labl>Irrawaddy moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40118</catValu>
    <labl>Jian Nan subtropical evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40119</catValu>
    <labl>Kayah-Karen montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40120</catValu>
    <labl>Lower Gangetic Plains moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40121</catValu>
    <labl>Luang Prabang montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40122</catValu>
    <labl>Luzon montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40123</catValu>
    <labl>Luzon rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40124</catValu>
    <labl>Malabar Coast moist forests</labl>
  </catgry>
  <catgry>
    <catValu>40125</catValu>
    <labl>Maldives-Lakshadweep-Chagos Archipelago tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>40126</catValu>
    <labl>Meghalaya subtropical forests</labl>
  </catgry>
  <catgry>
    <catValu>40127</catValu>
    <labl>Mentawai Islands rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40128</catValu>
    <labl>Mindanao montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40129</catValu>
    <labl>Mindanao-Eastern Visayas rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40130</catValu>
    <labl>Mindoro rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40131</catValu>
    <labl>Mizoram-Manipur-Kachin rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40132</catValu>
    <labl>Myanmar coastal rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40133</catValu>
    <labl>Nicobar Islands rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40134</catValu>
    <labl>North Western Ghats moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40135</catValu>
    <labl>North Western Ghats montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40136</catValu>
    <labl>Northern Annamites rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40137</catValu>
    <labl>Northern Indochina subtropical forests</labl>
  </catgry>
  <catgry>
    <catValu>40138</catValu>
    <labl>Northern Khorat Plateau moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40139</catValu>
    <labl>Northern Thailand-Laos moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40140</catValu>
    <labl>Northern Triangle subtropical forests</labl>
  </catgry>
  <catgry>
    <catValu>40141</catValu>
    <labl>Northern Vietnam lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40142</catValu>
    <labl>Orissa semi-evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40143</catValu>
    <labl>Palawan rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40144</catValu>
    <labl>Peninsular Malaysian montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40145</catValu>
    <labl>Peninsular Malaysian peat swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40146</catValu>
    <labl>Peninsular Malaysian rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40147</catValu>
    <labl>Red River freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40148</catValu>
    <labl>South China Sea Islands</labl>
  </catgry>
  <catgry>
    <catValu>40149</catValu>
    <labl>South China-Vietnam subtropical evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40150</catValu>
    <labl>South Western Ghats moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40151</catValu>
    <labl>South Western Ghats montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40152</catValu>
    <labl>Southern Annamites montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40153</catValu>
    <labl>Southwest Borneo freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40154</catValu>
    <labl>Sri Lanka lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40155</catValu>
    <labl>Sri Lanka montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40156</catValu>
    <labl>Sulu Archipelago rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40157</catValu>
    <labl>Sumatran freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40158</catValu>
    <labl>Sumatran lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40159</catValu>
    <labl>Sumatran montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40160</catValu>
    <labl>Sumatran peat swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40161</catValu>
    <labl>Sundaland heath forests</labl>
  </catgry>
  <catgry>
    <catValu>40162</catValu>
    <labl>Sundarbans freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40163</catValu>
    <labl>Tenasserim-South Thailand semi-evergreen rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40164</catValu>
    <labl>Tonle Sap freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40165</catValu>
    <labl>Tonle Sap-Mekong peat swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40166</catValu>
    <labl>Upper Gangetic Plains moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40167</catValu>
    <labl>Western Java montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40168</catValu>
    <labl>Western Java rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40169</catValu>
    <labl>Hainan Island monsoon rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40170</catValu>
    <labl>Nansei Islands subtropical evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40171</catValu>
    <labl>South Taiwan monsoon rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40172</catValu>
    <labl>Taiwan subtropical evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40201</catValu>
    <labl>Central Deccan Plateau dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40202</catValu>
    <labl>Central Indochina dry forests</labl>
  </catgry>
  <catgry>
    <catValu>40203</catValu>
    <labl>Chhota-Nagpur dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40204</catValu>
    <labl>East Deccan dry-evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40205</catValu>
    <labl>Irrawaddy dry forests</labl>
  </catgry>
  <catgry>
    <catValu>40206</catValu>
    <labl>Khathiar-Gir dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40207</catValu>
    <labl>Narmada Valley dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40208</catValu>
    <labl>Northern dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40209</catValu>
    <labl>South Deccan Plateau dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40210</catValu>
    <labl>Southeastern Indochina dry evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40211</catValu>
    <labl>Southern Vietnam lowland dry forests</labl>
  </catgry>
  <catgry>
    <catValu>40212</catValu>
    <labl>Sri Lanka dry-zone dry evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40301</catValu>
    <labl>Himalayan subtropical pine forests</labl>
  </catgry>
  <catgry>
    <catValu>40302</catValu>
    <labl>Luzon tropical pine forests</labl>
  </catgry>
  <catgry>
    <catValu>40303</catValu>
    <labl>Northeast India-Myanmar pine forests</labl>
  </catgry>
  <catgry>
    <catValu>40304</catValu>
    <labl>Sumatran tropical pine forests</labl>
  </catgry>
  <catgry>
    <catValu>40401</catValu>
    <labl>Eastern Himalayan broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>40402</catValu>
    <labl>Northern Triangle temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>40403</catValu>
    <labl>Western Himalayan broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>40501</catValu>
    <labl>Eastern Himalayan subalpine conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>40502</catValu>
    <labl>Western Himalayan subalpine conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>40701</catValu>
    <labl>Terai-Duar savanna and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>40901</catValu>
    <labl>Rann of Kutch seasonal salt marsh</labl>
  </catgry>
  <catgry>
    <catValu>41001</catValu>
    <labl>Kinabalu montane alpine meadows</labl>
  </catgry>
  <catgry>
    <catValu>41301</catValu>
    <labl>Deccan thorn scrub forests</labl>
  </catgry>
  <catgry>
    <catValu>41302</catValu>
    <labl>Indus Valley desert</labl>
  </catgry>
  <catgry>
    <catValu>41303</catValu>
    <labl>Northwestern thorn scrub forests</labl>
  </catgry>
  <catgry>
    <catValu>41304</catValu>
    <labl>Thar desert</labl>
  </catgry>
  <catgry>
    <catValu>41401</catValu>
    <labl>Goadavari-Krishna mangroves</labl>
  </catgry>
  <catgry>
    <catValu>41402</catValu>
    <labl>Indochina mangroves</labl>
  </catgry>
  <catgry>
    <catValu>41403</catValu>
    <labl>Indus River Delta-Arabian Sea mangroves</labl>
  </catgry>
  <catgry>
    <catValu>41404</catValu>
    <labl>Myanmar Coast mangroves</labl>
  </catgry>
  <catgry>
    <catValu>41405</catValu>
    <labl>Sunda Shelf mangroves</labl>
  </catgry>
  <catgry>
    <catValu>41406</catValu>
    <labl>Sundarbans mangroves</labl>
  </catgry>
  <catgry>
    <catValu>50201</catValu>
    <labl>Sonoran-Sinaloan transition subtropical dry forest</labl>
  </catgry>
  <catgry>
    <catValu>50301</catValu>
    <labl>Bermuda subtropical conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>50302</catValu>
    <labl>Sierra Madre Occidental pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>50303</catValu>
    <labl>Sierra Madre Oriental pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>50401</catValu>
    <labl>Allegheny Highlands forests</labl>
  </catgry>
  <catgry>
    <catValu>50402</catValu>
    <labl>Appalachian mixed mesophytic forests</labl>
  </catgry>
  <catgry>
    <catValu>50403</catValu>
    <labl>Appalachian-Blue Ridge forests</labl>
  </catgry>
  <catgry>
    <catValu>50404</catValu>
    <labl>Central U.S. hardwood forests</labl>
  </catgry>
  <catgry>
    <catValu>50405</catValu>
    <labl>East Central Texas forests</labl>
  </catgry>
  <catgry>
    <catValu>50406</catValu>
    <labl>Eastern forest-boreal transition</labl>
  </catgry>
  <catgry>
    <catValu>50407</catValu>
    <labl>Eastern Great Lakes lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>50408</catValu>
    <labl>Gulf of St. Lawrence lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>50409</catValu>
    <labl>Mississippi lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>50410</catValu>
    <labl>New England-Acadian forests</labl>
  </catgry>
  <catgry>
    <catValu>50411</catValu>
    <labl>Northeastern coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50412</catValu>
    <labl>Ozark Mountain forests</labl>
  </catgry>
  <catgry>
    <catValu>50413</catValu>
    <labl>Southeastern mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>50414</catValu>
    <labl>Southern Great Lakes forests</labl>
  </catgry>
  <catgry>
    <catValu>50415</catValu>
    <labl>Upper Midwest forest-savanna transition</labl>
  </catgry>
  <catgry>
    <catValu>50416</catValu>
    <labl>Western Great Lakes forests</labl>
  </catgry>
  <catgry>
    <catValu>50417</catValu>
    <labl>Willamette Valley forests</labl>
  </catgry>
  <catgry>
    <catValu>50501</catValu>
    <labl>Alberta Mountain forests</labl>
  </catgry>
  <catgry>
    <catValu>50502</catValu>
    <labl>Alberta-British Columbia foothills forests</labl>
  </catgry>
  <catgry>
    <catValu>50503</catValu>
    <labl>Arizona Mountains forests</labl>
  </catgry>
  <catgry>
    <catValu>50504</catValu>
    <labl>Atlantic coastal pine barrens</labl>
  </catgry>
  <catgry>
    <catValu>50505</catValu>
    <labl>Blue Mountains forests</labl>
  </catgry>
  <catgry>
    <catValu>50506</catValu>
    <labl>British Columbia mainland coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50507</catValu>
    <labl>Cascade Mountains leeward forests</labl>
  </catgry>
  <catgry>
    <catValu>50508</catValu>
    <labl>Central and Southern Cascades forests</labl>
  </catgry>
  <catgry>
    <catValu>50509</catValu>
    <labl>Central British Columbia Mountain forests</labl>
  </catgry>
  <catgry>
    <catValu>50510</catValu>
    <labl>Central Pacific coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50511</catValu>
    <labl>Colorado Rockies forests</labl>
  </catgry>
  <catgry>
    <catValu>50512</catValu>
    <labl>Eastern Cascades forests</labl>
  </catgry>
  <catgry>
    <catValu>50513</catValu>
    <labl>Florida sand pine scrub</labl>
  </catgry>
  <catgry>
    <catValu>50514</catValu>
    <labl>Fraser Plateau and Basin complex</labl>
  </catgry>
  <catgry>
    <catValu>50515</catValu>
    <labl>Great Basin montane forests</labl>
  </catgry>
  <catgry>
    <catValu>50516</catValu>
    <labl>Klamath-Siskiyou forests</labl>
  </catgry>
  <catgry>
    <catValu>50517</catValu>
    <labl>Middle Atlantic coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50518</catValu>
    <labl>North Central Rockies forests</labl>
  </catgry>
  <catgry>
    <catValu>50519</catValu>
    <labl>Northern California coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50520</catValu>
    <labl>Northern Pacific coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50521</catValu>
    <labl>Northern transitional alpine forests</labl>
  </catgry>
  <catgry>
    <catValu>50522</catValu>
    <labl>Okanagan dry forests</labl>
  </catgry>
  <catgry>
    <catValu>50523</catValu>
    <labl>Piney Woods forests</labl>
  </catgry>
  <catgry>
    <catValu>50524</catValu>
    <labl>Puget lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>50525</catValu>
    <labl>Queen Charlotte Islands</labl>
  </catgry>
  <catgry>
    <catValu>50526</catValu>
    <labl>Sierra Juarez and San Pedro Martir pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>50527</catValu>
    <labl>Sierra Nevada forests</labl>
  </catgry>
  <catgry>
    <catValu>50528</catValu>
    <labl>South Central Rockies forests</labl>
  </catgry>
  <catgry>
    <catValu>50529</catValu>
    <labl>Southeastern conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>50530</catValu>
    <labl>Wasatch and Uinta montane forests</labl>
  </catgry>
  <catgry>
    <catValu>50601</catValu>
    <labl>Alaska Peninsula montane taiga</labl>
  </catgry>
  <catgry>
    <catValu>50602</catValu>
    <labl>Central Canadian Shield forests</labl>
  </catgry>
  <catgry>
    <catValu>50603</catValu>
    <labl>Cook Inlet taiga</labl>
  </catgry>
  <catgry>
    <catValu>50604</catValu>
    <labl>Copper Plateau taiga</labl>
  </catgry>
  <catgry>
    <catValu>50605</catValu>
    <labl>Eastern Canadian forests</labl>
  </catgry>
  <catgry>
    <catValu>50606</catValu>
    <labl>Eastern Canadian Shield taiga</labl>
  </catgry>
  <catgry>
    <catValu>50607</catValu>
    <labl>Interior Alaska-Yukon lowland taiga</labl>
  </catgry>
  <catgry>
    <catValu>50608</catValu>
    <labl>Mid-Continental Canadian forests</labl>
  </catgry>
  <catgry>
    <catValu>50609</catValu>
    <labl>Midwestern Canadian Shield forests</labl>
  </catgry>
  <catgry>
    <catValu>50610</catValu>
    <labl>Muskwa-Slave Lake forests</labl>
  </catgry>
  <catgry>
    <catValu>50611</catValu>
    <labl>Newfoundland Highland forests</labl>
  </catgry>
  <catgry>
    <catValu>50612</catValu>
    <labl>Northern Canadian Shield taiga</labl>
  </catgry>
  <catgry>
    <catValu>50613</catValu>
    <labl>Northern Cordillera forests</labl>
  </catgry>
  <catgry>
    <catValu>50614</catValu>
    <labl>Northwest Territories taiga</labl>
  </catgry>
  <catgry>
    <catValu>50615</catValu>
    <labl>South Avalon-Burin oceanic barrens</labl>
  </catgry>
  <catgry>
    <catValu>50616</catValu>
    <labl>Southern Hudson Bay taiga</labl>
  </catgry>
  <catgry>
    <catValu>50617</catValu>
    <labl>Yukon Interior dry forests</labl>
  </catgry>
  <catgry>
    <catValu>50701</catValu>
    <labl>Western Gulf coastal grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50801</catValu>
    <labl>California Central Valley grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50802</catValu>
    <labl>Canadian Aspen forests and parklands</labl>
  </catgry>
  <catgry>
    <catValu>50803</catValu>
    <labl>Central and Southern mixed grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50804</catValu>
    <labl>Central forest-grasslands transition</labl>
  </catgry>
  <catgry>
    <catValu>50805</catValu>
    <labl>Central tall grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50806</catValu>
    <labl>Edwards Plateau savanna</labl>
  </catgry>
  <catgry>
    <catValu>50807</catValu>
    <labl>Flint Hills tall grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50808</catValu>
    <labl>Montana Valley and Foothill grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50809</catValu>
    <labl>Nebraska Sand Hills mixed grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50810</catValu>
    <labl>Northern mixed grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50811</catValu>
    <labl>Northern short grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50812</catValu>
    <labl>Northern tall grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50813</catValu>
    <labl>Palouse grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50814</catValu>
    <labl>Texas blackland prairies</labl>
  </catgry>
  <catgry>
    <catValu>50815</catValu>
    <labl>Western short grasslands</labl>
  </catgry>
  <catgry>
    <catValu>51101</catValu>
    <labl>Alaska-St. Elias Range tundra</labl>
  </catgry>
  <catgry>
    <catValu>51102</catValu>
    <labl>Aleutian Islands tundra</labl>
  </catgry>
  <catgry>
    <catValu>51103</catValu>
    <labl>Arctic coastal tundra</labl>
  </catgry>
  <catgry>
    <catValu>51104</catValu>
    <labl>Arctic foothills tundra</labl>
  </catgry>
  <catgry>
    <catValu>51105</catValu>
    <labl>Baffin coastal tundra</labl>
  </catgry>
  <catgry>
    <catValu>51106</catValu>
    <labl>Beringia lowland tundra</labl>
  </catgry>
  <catgry>
    <catValu>51107</catValu>
    <labl>Beringia upland tundra</labl>
  </catgry>
  <catgry>
    <catValu>51108</catValu>
    <labl>Brooks-British Range tundra</labl>
  </catgry>
  <catgry>
    <catValu>51109</catValu>
    <labl>Davis Highlands tundra</labl>
  </catgry>
  <catgry>
    <catValu>51110</catValu>
    <labl>High Arctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>51111</catValu>
    <labl>Interior Yukon-Alaska alpine tundra</labl>
  </catgry>
  <catgry>
    <catValu>51112</catValu>
    <labl>Kalaallit Nunaat high arctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>51113</catValu>
    <labl>Kalaallit Nunaat low arctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>51114</catValu>
    <labl>Low Arctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>51115</catValu>
    <labl>Middle Arctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>51116</catValu>
    <labl>Ogilvie-MacKenzie alpine tundra</labl>
  </catgry>
  <catgry>
    <catValu>51117</catValu>
    <labl>Pacific Coastal Mountain icefields and tundra</labl>
  </catgry>
  <catgry>
    <catValu>51118</catValu>
    <labl>Torngat Mountain tundra</labl>
  </catgry>
  <catgry>
    <catValu>51201</catValu>
    <labl>California coastal sage and chaparral</labl>
  </catgry>
  <catgry>
    <catValu>51202</catValu>
    <labl>California interior chaparral and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>51203</catValu>
    <labl>California montane chaparral and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>51301</catValu>
    <labl>Baja California desert</labl>
  </catgry>
  <catgry>
    <catValu>51302</catValu>
    <labl>Central Mexican matorral</labl>
  </catgry>
  <catgry>
    <catValu>51303</catValu>
    <labl>Chihuahuan desert</labl>
  </catgry>
  <catgry>
    <catValu>51304</catValu>
    <labl>Colorado Plateau shrublands</labl>
  </catgry>
  <catgry>
    <catValu>51305</catValu>
    <labl>Great Basin shrub steppe</labl>
  </catgry>
  <catgry>
    <catValu>51306</catValu>
    <labl>Gulf of California xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>51307</catValu>
    <labl>Meseta Central matorral</labl>
  </catgry>
  <catgry>
    <catValu>51308</catValu>
    <labl>Mojave desert</labl>
  </catgry>
  <catgry>
    <catValu>51309</catValu>
    <labl>Snake-Columbia shrub steppe</labl>
  </catgry>
  <catgry>
    <catValu>51310</catValu>
    <labl>Sonoran desert</labl>
  </catgry>
  <catgry>
    <catValu>51311</catValu>
    <labl>Tamaulipan matorral</labl>
  </catgry>
  <catgry>
    <catValu>51312</catValu>
    <labl>Tamaulipan mezquital</labl>
  </catgry>
  <catgry>
    <catValu>51313</catValu>
    <labl>Wyoming Basin shrub steppe</labl>
  </catgry>
  <catgry>
    <catValu>60101</catValu>
    <labl>Araucaria moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60102</catValu>
    <labl>Atlantic Coast restingas</labl>
  </catgry>
  <catgry>
    <catValu>60103</catValu>
    <labl>Bahia coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>60104</catValu>
    <labl>Bahia interior forests</labl>
  </catgry>
  <catgry>
    <catValu>60105</catValu>
    <labl>Bolivian Yungas</labl>
  </catgry>
  <catgry>
    <catValu>60106</catValu>
    <labl>Caatinga Enclaves moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60107</catValu>
    <labl>Caqueta moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60108</catValu>
    <labl>Catatumbo moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60109</catValu>
    <labl>Cauca Valley montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60110</catValu>
    <labl>Cayos Miskitos-San Andrés and Providencia moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60111</catValu>
    <labl>Central American Atlantic moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60112</catValu>
    <labl>Central American montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60113</catValu>
    <labl>Chiapas montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60114</catValu>
    <labl>Chimalapas montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60115</catValu>
    <labl>Chocó-Darién moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60116</catValu>
    <labl>Cocos Island moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60117</catValu>
    <labl>Cordillera La Costa montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60118</catValu>
    <labl>Cordillera Oriental montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60119</catValu>
    <labl>Costa Rican seasonal moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60120</catValu>
    <labl>Cuban moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60121</catValu>
    <labl>Eastern Cordillera real montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60122</catValu>
    <labl>Eastern Panamanian montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60123</catValu>
    <labl>Fernando de Noronha-Atol das Rocas moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60124</catValu>
    <labl>Guianan Highlands moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60125</catValu>
    <labl>Guianan moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60126</catValu>
    <labl>Gurupa varzeá</labl>
  </catgry>
  <catgry>
    <catValu>60127</catValu>
    <labl>Hispaniolan moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60128</catValu>
    <labl>Iquitos varzeá</labl>
  </catgry>
  <catgry>
    <catValu>60129</catValu>
    <labl>Isthmian-Atlantic moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60130</catValu>
    <labl>Isthmian-Pacific moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60131</catValu>
    <labl>Jamaican moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60132</catValu>
    <labl>Japurá-Solimoes-Negro moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60133</catValu>
    <labl>Juruá-Purus moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60134</catValu>
    <labl>Leeward Islands moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60135</catValu>
    <labl>Madeira-Tapajós moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60136</catValu>
    <labl>Magdalena Valley montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60137</catValu>
    <labl>Magdalena-Urabá moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60138</catValu>
    <labl>Marajó varzeá</labl>
  </catgry>
  <catgry>
    <catValu>60139</catValu>
    <labl>Maranhão Babaçu forests</labl>
  </catgry>
  <catgry>
    <catValu>60140</catValu>
    <labl>Mato Grosso seasonal forests</labl>
  </catgry>
  <catgry>
    <catValu>60141</catValu>
    <labl>Monte Alegre varzeá</labl>
  </catgry>
  <catgry>
    <catValu>60142</catValu>
    <labl>Napo moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60143</catValu>
    <labl>Negro-Branco moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60144</catValu>
    <labl>Northeastern Brazil restingas</labl>
  </catgry>
  <catgry>
    <catValu>60145</catValu>
    <labl>Northwestern Andean montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60146</catValu>
    <labl>Oaxacan montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60147</catValu>
    <labl>Orinoco Delta swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>60148</catValu>
    <labl>Pantanos de Centla</labl>
  </catgry>
  <catgry>
    <catValu>60149</catValu>
    <labl>Guianan freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>60150</catValu>
    <labl>Alto Paraná Atlantic forests</labl>
  </catgry>
  <catgry>
    <catValu>60151</catValu>
    <labl>Pernambuco coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>60152</catValu>
    <labl>Pernambuco interior forests</labl>
  </catgry>
  <catgry>
    <catValu>60153</catValu>
    <labl>Peruvian Yungas</labl>
  </catgry>
  <catgry>
    <catValu>60154</catValu>
    <labl>Petén-Veracruz moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60155</catValu>
    <labl>Puerto Rican moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60156</catValu>
    <labl>Purus varzeá</labl>
  </catgry>
  <catgry>
    <catValu>60157</catValu>
    <labl>Purus-Madeira moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60158</catValu>
    <labl>Rio Negro campinarana</labl>
  </catgry>
  <catgry>
    <catValu>60159</catValu>
    <labl>Santa Marta montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60160</catValu>
    <labl>Serra do Mar coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>60161</catValu>
    <labl>Sierra de los Tuxtlas</labl>
  </catgry>
  <catgry>
    <catValu>60162</catValu>
    <labl>Sierra Madre de Chiapas moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60163</catValu>
    <labl>Solimões-Japurá moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60164</catValu>
    <labl>South Florida rocklands</labl>
  </catgry>
  <catgry>
    <catValu>60165</catValu>
    <labl>Southern Andean Yungas</labl>
  </catgry>
  <catgry>
    <catValu>60166</catValu>
    <labl>Southwest Amazon moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60167</catValu>
    <labl>Talamancan montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60168</catValu>
    <labl>Tapajós-Xingu moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60169</catValu>
    <labl>Pantepui</labl>
  </catgry>
  <catgry>
    <catValu>60170</catValu>
    <labl>Tocantins/Pindare moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60171</catValu>
    <labl>Trinidad and Tobago moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60172</catValu>
    <labl>Trindade-Martin Vaz Islands tropical forests</labl>
  </catgry>
  <catgry>
    <catValu>60173</catValu>
    <labl>Uatuma-Trombetas moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60174</catValu>
    <labl>Ucayali moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60175</catValu>
    <labl>Venezuelan Andes montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60176</catValu>
    <labl>Veracruz moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60177</catValu>
    <labl>Veracruz montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60178</catValu>
    <labl>Western Ecuador moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60179</catValu>
    <labl>Windward Islands moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60180</catValu>
    <labl>Xingu-Tocantins-Araguaia moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60181</catValu>
    <labl>Yucatán moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60182</catValu>
    <labl>Guianan piedmont and lowland moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60201</catValu>
    <labl>Apure-Villavicencio dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60202</catValu>
    <labl>Atlantic dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60204</catValu>
    <labl>Bajío dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60205</catValu>
    <labl>Balsas dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60206</catValu>
    <labl>Bolivian montane dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60207</catValu>
    <labl>Cauca Valley dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60209</catValu>
    <labl>Central American dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60210</catValu>
    <labl>Dry Chaco</labl>
  </catgry>
  <catgry>
    <catValu>60211</catValu>
    <labl>Chiapas Depression dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60212</catValu>
    <labl>Chiquitano dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60213</catValu>
    <labl>Cuban dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60214</catValu>
    <labl>Ecuadorian dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60215</catValu>
    <labl>Hispaniolan dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60216</catValu>
    <labl>Islas Revillagigedo dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60217</catValu>
    <labl>Jalisco dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60218</catValu>
    <labl>Jamaican dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60219</catValu>
    <labl>Lara-Falcón dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60220</catValu>
    <labl>Lesser Antillean dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60221</catValu>
    <labl>Magdalena Valley dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60222</catValu>
    <labl>Maracaibo dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60223</catValu>
    <labl>Marañón dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60224</catValu>
    <labl>Panamanian dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60225</catValu>
    <labl>Patía Valley dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60226</catValu>
    <labl>Puerto Rican dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60227</catValu>
    <labl>Sierra de la Laguna dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60228</catValu>
    <labl>Sinaloan dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60229</catValu>
    <labl>Sinú Valley dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60230</catValu>
    <labl>Southern Pacific dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60232</catValu>
    <labl>Tumbes-Piura dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60233</catValu>
    <labl>Veracruz dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60235</catValu>
    <labl>Yucatán dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60301</catValu>
    <labl>Bahamian pine mosaic</labl>
  </catgry>
  <catgry>
    <catValu>60302</catValu>
    <labl>Belizian pine forests</labl>
  </catgry>
  <catgry>
    <catValu>60303</catValu>
    <labl>Central American pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>60304</catValu>
    <labl>Cuban pine forests</labl>
  </catgry>
  <catgry>
    <catValu>60305</catValu>
    <labl>Hispaniolan pine forests</labl>
  </catgry>
  <catgry>
    <catValu>60306</catValu>
    <labl>Miskito pine forests</labl>
  </catgry>
  <catgry>
    <catValu>60307</catValu>
    <labl>Sierra de la Laguna pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>60308</catValu>
    <labl>Sierra Madre de Oaxaca pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>60309</catValu>
    <labl>Sierra Madre del Sur pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>60310</catValu>
    <labl>Trans-Mexican Volcanic Belt pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>60401</catValu>
    <labl>Juan Fernández Islands temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>60402</catValu>
    <labl>Magellanic subpolar forests</labl>
  </catgry>
  <catgry>
    <catValu>60403</catValu>
    <labl>San Félix-San Ambrosio Islands temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>60404</catValu>
    <labl>Valdivian temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>60702</catValu>
    <labl>Beni savanna</labl>
  </catgry>
  <catgry>
    <catValu>60703</catValu>
    <labl>Campos Rupestres montane savanna</labl>
  </catgry>
  <catgry>
    <catValu>60704</catValu>
    <labl>Cerrado</labl>
  </catgry>
  <catgry>
    <catValu>60705</catValu>
    <labl>Clipperton Island shrub and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>60707</catValu>
    <labl>Guianan savanna</labl>
  </catgry>
  <catgry>
    <catValu>60708</catValu>
    <labl>Humid Chaco</labl>
  </catgry>
  <catgry>
    <catValu>60709</catValu>
    <labl>Llanos</labl>
  </catgry>
  <catgry>
    <catValu>60710</catValu>
    <labl>Uruguayan savanna</labl>
  </catgry>
  <catgry>
    <catValu>60801</catValu>
    <labl>Espinal</labl>
  </catgry>
  <catgry>
    <catValu>60802</catValu>
    <labl>Low Monte</labl>
  </catgry>
  <catgry>
    <catValu>60803</catValu>
    <labl>Humid Pampas</labl>
  </catgry>
  <catgry>
    <catValu>60805</catValu>
    <labl>Patagonian steppe</labl>
  </catgry>
  <catgry>
    <catValu>60902</catValu>
    <labl>Cuban wetlands</labl>
  </catgry>
  <catgry>
    <catValu>60903</catValu>
    <labl>Enriquillo wetlands</labl>
  </catgry>
  <catgry>
    <catValu>60904</catValu>
    <labl>Everglades</labl>
  </catgry>
  <catgry>
    <catValu>60905</catValu>
    <labl>Guayaquil flooded grasslands</labl>
  </catgry>
  <catgry>
    <catValu>60906</catValu>
    <labl>Orinoco wetlands</labl>
  </catgry>
  <catgry>
    <catValu>60907</catValu>
    <labl>Pantanal</labl>
  </catgry>
  <catgry>
    <catValu>60908</catValu>
    <labl>Paraná flooded savanna</labl>
  </catgry>
  <catgry>
    <catValu>60909</catValu>
    <labl>Southern Cone Mesopotamian savanna</labl>
  </catgry>
  <catgry>
    <catValu>61001</catValu>
    <labl>Central Andean dry puna</labl>
  </catgry>
  <catgry>
    <catValu>61002</catValu>
    <labl>Central Andean puna</labl>
  </catgry>
  <catgry>
    <catValu>61003</catValu>
    <labl>Central Andean wet puna</labl>
  </catgry>
  <catgry>
    <catValu>61004</catValu>
    <labl>Cordillera Central páramo</labl>
  </catgry>
  <catgry>
    <catValu>61005</catValu>
    <labl>Cordillera de Merida páramo</labl>
  </catgry>
  <catgry>
    <catValu>61006</catValu>
    <labl>Northern Andean páramo</labl>
  </catgry>
  <catgry>
    <catValu>61007</catValu>
    <labl>Santa Marta páramo</labl>
  </catgry>
  <catgry>
    <catValu>61008</catValu>
    <labl>Southern Andean steppe</labl>
  </catgry>
  <catgry>
    <catValu>61010</catValu>
    <labl>High Monte</labl>
  </catgry>
  <catgry>
    <catValu>61201</catValu>
    <labl>Chilean matorral</labl>
  </catgry>
  <catgry>
    <catValu>61301</catValu>
    <labl>Araya and Paria xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>61303</catValu>
    <labl>Atacama desert</labl>
  </catgry>
  <catgry>
    <catValu>61304</catValu>
    <labl>Caatinga</labl>
  </catgry>
  <catgry>
    <catValu>61305</catValu>
    <labl>Caribbean shrublands</labl>
  </catgry>
  <catgry>
    <catValu>61306</catValu>
    <labl>Cuban cactus scrub</labl>
  </catgry>
  <catgry>
    <catValu>61307</catValu>
    <labl>Galápagos Islands scrubland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>61308</catValu>
    <labl>Guajira-Barranquilla xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>61309</catValu>
    <labl>La Costa xeric shrublands</labl>
  </catgry>
  <catgry>
    <catValu>61311</catValu>
    <labl>Malpelo Island xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>61312</catValu>
    <labl>Motagua Valley thornscrub</labl>
  </catgry>
  <catgry>
    <catValu>61313</catValu>
    <labl>Paraguana xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>61314</catValu>
    <labl>San Lucan xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>61315</catValu>
    <labl>Sechura desert</labl>
  </catgry>
  <catgry>
    <catValu>61316</catValu>
    <labl>Tehuacán Valley matorral</labl>
  </catgry>
  <catgry>
    <catValu>61318</catValu>
    <labl>St. Peter and St. Paul rocks</labl>
  </catgry>
  <catgry>
    <catValu>61401</catValu>
    <labl>Amazon-Orinoco-Southern Caribbean mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61402</catValu>
    <labl>Bahamian-Antillean mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61403</catValu>
    <labl>Mesoamerican Gulf-Caribbean mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61404</catValu>
    <labl>Northern Mesoamerican Pacific mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61405</catValu>
    <labl>South American Pacific mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61406</catValu>
    <labl>Southern Atlantic mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61407</catValu>
    <labl>Southern Mesoamerican Pacific mangroves</labl>
  </catgry>
  <catgry>
    <catValu>70101</catValu>
    <labl>Carolines tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70102</catValu>
    <labl>Central Polynesian tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70103</catValu>
    <labl>Cook Islands tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70104</catValu>
    <labl>Eastern Micronesia tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70105</catValu>
    <labl>Fiji tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70106</catValu>
    <labl>Hawaii tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70107</catValu>
    <labl>Kermadec Islands subtropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70108</catValu>
    <labl>Marquesas tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70109</catValu>
    <labl>Ogasawara subtropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70110</catValu>
    <labl>Palau tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70111</catValu>
    <labl>Rapa Nui subtropical broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>70112</catValu>
    <labl>Samoan tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70113</catValu>
    <labl>Society Islands tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70114</catValu>
    <labl>Tongan tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70115</catValu>
    <labl>Tuamotu tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70116</catValu>
    <labl>Tubuai tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70117</catValu>
    <labl>Western Polynesian tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70201</catValu>
    <labl>Fiji tropical dry forests</labl>
  </catgry>
  <catgry>
    <catValu>70202</catValu>
    <labl>Hawaii tropical dry forests</labl>
  </catgry>
  <catgry>
    <catValu>70203</catValu>
    <labl>Marianas tropical dry forests</labl>
  </catgry>
  <catgry>
    <catValu>70204</catValu>
    <labl>Yap tropical dry forests</labl>
  </catgry>
  <catgry>
    <catValu>70701</catValu>
    <labl>Hawaii tropical high shrublands</labl>
  </catgry>
  <catgry>
    <catValu>70702</catValu>
    <labl>Hawaii tropical low shrublands</labl>
  </catgry>
  <catgry>
    <catValu>70703</catValu>
    <labl>Northwestern Hawaii scrub</labl>
  </catgry>
  <catgry>
    <catValu>80101</catValu>
    <labl>Guizhou Plateau broadleaf and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80102</catValu>
    <labl>Yunnan Plateau subtropical evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80401</catValu>
    <labl>Appenine deciduous montane forests</labl>
  </catgry>
  <catgry>
    <catValu>80402</catValu>
    <labl>Atlantic mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80403</catValu>
    <labl>Azores temperate mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80404</catValu>
    <labl>Balkan mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80405</catValu>
    <labl>Baltic mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80406</catValu>
    <labl>Cantabrian mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80407</catValu>
    <labl>Caspian Hyrcanian mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80408</catValu>
    <labl>Caucasus mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80409</catValu>
    <labl>Celtic broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>80410</catValu>
    <labl>Central Anatolian steppe and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>80411</catValu>
    <labl>Central China loess plateau mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80412</catValu>
    <labl>Central European mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80413</catValu>
    <labl>Central Korean deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80414</catValu>
    <labl>Changbai Mountains mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80415</catValu>
    <labl>Changjiang Plain evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80416</catValu>
    <labl>Crimean Submediterranean forest complex</labl>
  </catgry>
  <catgry>
    <catValu>80417</catValu>
    <labl>Daba Mountains evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80418</catValu>
    <labl>Dinaric Mountains mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80419</catValu>
    <labl>East European forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80420</catValu>
    <labl>Eastern Anatolian deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80421</catValu>
    <labl>English Lowlands beech forests</labl>
  </catgry>
  <catgry>
    <catValu>80422</catValu>
    <labl>Euxine-Colchic broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>80423</catValu>
    <labl>Hokkaido deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80424</catValu>
    <labl>Huang He Plain mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80425</catValu>
    <labl>Madeira evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80426</catValu>
    <labl>Manchurian mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80427</catValu>
    <labl>Nihonkai evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80428</catValu>
    <labl>Nihonkai montane deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80429</catValu>
    <labl>North Atlantic moist mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80430</catValu>
    <labl>Northeast China Plain deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80431</catValu>
    <labl>Pannonian mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80432</catValu>
    <labl>Po Basin mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80433</catValu>
    <labl>Pyrenees conifer and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80434</catValu>
    <labl>Qin Ling Mountains deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80435</catValu>
    <labl>Rodope montane mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80436</catValu>
    <labl>Sarmatic mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80437</catValu>
    <labl>Sichuan Basin evergreen broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>80438</catValu>
    <labl>South Sakhalin-Kurile mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80439</catValu>
    <labl>Southern Korea evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80440</catValu>
    <labl>Taiheiyo evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80441</catValu>
    <labl>Taiheiyo montane deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80442</catValu>
    <labl>Tarim Basin deciduous forests and steppe</labl>
  </catgry>
  <catgry>
    <catValu>80443</catValu>
    <labl>Ussuri broadleaf and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80444</catValu>
    <labl>Western Siberian hemiboreal forests</labl>
  </catgry>
  <catgry>
    <catValu>80445</catValu>
    <labl>Western European broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>80446</catValu>
    <labl>Zagros Mountains forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80501</catValu>
    <labl>Alps conifer and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80502</catValu>
    <labl>Altai montane forest and forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80503</catValu>
    <labl>Caledon conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80504</catValu>
    <labl>Carpathian montane forests</labl>
  </catgry>
  <catgry>
    <catValu>80505</catValu>
    <labl>Da Hinggan-Dzhagdy Mountains conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80506</catValu>
    <labl>East Afghan montane conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80507</catValu>
    <labl>Elburz Range forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80508</catValu>
    <labl>Helanshan montane conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80509</catValu>
    <labl>Hengduan Mountains subalpine conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80510</catValu>
    <labl>Hokkaido montane conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80511</catValu>
    <labl>Honshu alpine conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80512</catValu>
    <labl>Khangai Mountains conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80513</catValu>
    <labl>Mediterranean conifer and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80514</catValu>
    <labl>Northeastern Himalayan subalpine conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80515</catValu>
    <labl>Northern Anatolian conifer and deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80516</catValu>
    <labl>Nujiang Langcang Gorge alpine conifer and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80517</catValu>
    <labl>Qilian Mountains conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80518</catValu>
    <labl>Qionglai-Minshan conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80519</catValu>
    <labl>Sayan montane conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80520</catValu>
    <labl>Scandinavian coastal conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80521</catValu>
    <labl>Tian Shan montane conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80601</catValu>
    <labl>East Siberian taiga</labl>
  </catgry>
  <catgry>
    <catValu>80602</catValu>
    <labl>Iceland boreal birch forests and alpine tundra</labl>
  </catgry>
  <catgry>
    <catValu>80603</catValu>
    <labl>Kamchatka-Kurile meadows and sparse forests</labl>
  </catgry>
  <catgry>
    <catValu>80604</catValu>
    <labl>Kamchatka-Kurile taiga</labl>
  </catgry>
  <catgry>
    <catValu>80605</catValu>
    <labl>Northeast Siberian taiga</labl>
  </catgry>
  <catgry>
    <catValu>80606</catValu>
    <labl>Okhotsk-Manchurian taiga</labl>
  </catgry>
  <catgry>
    <catValu>80607</catValu>
    <labl>Sakhalin Island taiga</labl>
  </catgry>
  <catgry>
    <catValu>80608</catValu>
    <labl>Scandinavian and Russian taiga</labl>
  </catgry>
  <catgry>
    <catValu>80609</catValu>
    <labl>Trans-Baikal conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80610</catValu>
    <labl>Ural montane forests and tundra</labl>
  </catgry>
  <catgry>
    <catValu>80611</catValu>
    <labl>West Siberian taiga</labl>
  </catgry>
  <catgry>
    <catValu>80801</catValu>
    <labl>Alai-Western Tian Shan steppe</labl>
  </catgry>
  <catgry>
    <catValu>80802</catValu>
    <labl>Altai steppe and semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>80803</catValu>
    <labl>Central Anatolian steppe</labl>
  </catgry>
  <catgry>
    <catValu>80804</catValu>
    <labl>Daurian forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80805</catValu>
    <labl>Eastern Anatolian montane steppe</labl>
  </catgry>
  <catgry>
    <catValu>80806</catValu>
    <labl>Emin Valley steppe</labl>
  </catgry>
  <catgry>
    <catValu>80807</catValu>
    <labl>Faroe Islands boreal grasslands</labl>
  </catgry>
  <catgry>
    <catValu>80808</catValu>
    <labl>Gissaro-Alai open woodlands</labl>
  </catgry>
  <catgry>
    <catValu>80809</catValu>
    <labl>Kazakh forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80810</catValu>
    <labl>Kazakh steppe</labl>
  </catgry>
  <catgry>
    <catValu>80811</catValu>
    <labl>Kazakh upland</labl>
  </catgry>
  <catgry>
    <catValu>80812</catValu>
    <labl>Middle East steppe</labl>
  </catgry>
  <catgry>
    <catValu>80813</catValu>
    <labl>Mongolian-Manchurian grassland</labl>
  </catgry>
  <catgry>
    <catValu>80814</catValu>
    <labl>Pontic steppe</labl>
  </catgry>
  <catgry>
    <catValu>80815</catValu>
    <labl>Sayan Intermontane steppe</labl>
  </catgry>
  <catgry>
    <catValu>80816</catValu>
    <labl>Selenge-Orkhon forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80817</catValu>
    <labl>South Siberian forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80818</catValu>
    <labl>Tian Shan foothill arid steppe</labl>
  </catgry>
  <catgry>
    <catValu>80901</catValu>
    <labl>Amur meadow steppe</labl>
  </catgry>
  <catgry>
    <catValu>80902</catValu>
    <labl>Bohai Sea saline meadow</labl>
  </catgry>
  <catgry>
    <catValu>80903</catValu>
    <labl>Nenjiang River grassland</labl>
  </catgry>
  <catgry>
    <catValu>80904</catValu>
    <labl>Nile Delta flooded savanna</labl>
  </catgry>
  <catgry>
    <catValu>80905</catValu>
    <labl>Saharan halophytics</labl>
  </catgry>
  <catgry>
    <catValu>80906</catValu>
    <labl>Tigris-Euphrates alluvial salt marsh</labl>
  </catgry>
  <catgry>
    <catValu>80907</catValu>
    <labl>Suiphun-Khanka meadows and forest meadows</labl>
  </catgry>
  <catgry>
    <catValu>80908</catValu>
    <labl>Yellow Sea saline meadow</labl>
  </catgry>
  <catgry>
    <catValu>81001</catValu>
    <labl>Altai alpine meadow and tundra</labl>
  </catgry>
  <catgry>
    <catValu>81002</catValu>
    <labl>Central Tibetan Plateau alpine steppe</labl>
  </catgry>
  <catgry>
    <catValu>81003</catValu>
    <labl>Eastern Himalayan alpine shrub and meadows</labl>
  </catgry>
  <catgry>
    <catValu>81004</catValu>
    <labl>Ghorat-Hazarajat alpine meadow</labl>
  </catgry>
  <catgry>
    <catValu>81005</catValu>
    <labl>Hindu Kush alpine meadow</labl>
  </catgry>
  <catgry>
    <catValu>81006</catValu>
    <labl>Karakoram-West Tibetan Plateau alpine steppe</labl>
  </catgry>
  <catgry>
    <catValu>81007</catValu>
    <labl>Khangai Mountains alpine meadow</labl>
  </catgry>
  <catgry>
    <catValu>81008</catValu>
    <labl>Kopet Dag woodlands and forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>81009</catValu>
    <labl>Kuh Rud and Eastern Iran montane woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81010</catValu>
    <labl>Mediterranean High Atlas juniper steppe</labl>
  </catgry>
  <catgry>
    <catValu>81011</catValu>
    <labl>North Tibetan Plateau-Kunlun Mountains alpine desert</labl>
  </catgry>
  <catgry>
    <catValu>81012</catValu>
    <labl>Northwestern Himalayan alpine shrub and meadows</labl>
  </catgry>
  <catgry>
    <catValu>81013</catValu>
    <labl>Ordos Plateau steppe</labl>
  </catgry>
  <catgry>
    <catValu>81014</catValu>
    <labl>Pamir alpine desert and tundra</labl>
  </catgry>
  <catgry>
    <catValu>81015</catValu>
    <labl>Qilian Mountains subalpine meadows</labl>
  </catgry>
  <catgry>
    <catValu>81016</catValu>
    <labl>Sayan Alpine meadows and tundra</labl>
  </catgry>
  <catgry>
    <catValu>81017</catValu>
    <labl>Southeast Tibet shrublands and meadows</labl>
  </catgry>
  <catgry>
    <catValu>81018</catValu>
    <labl>Sulaiman Range alpine meadows</labl>
  </catgry>
  <catgry>
    <catValu>81019</catValu>
    <labl>Tian Shan montane steppe and meadows</labl>
  </catgry>
  <catgry>
    <catValu>81020</catValu>
    <labl>Tibetan Plateau alpine shrublands and meadows</labl>
  </catgry>
  <catgry>
    <catValu>81021</catValu>
    <labl>Western Himalayan alpine shrub and Meadows</labl>
  </catgry>
  <catgry>
    <catValu>81022</catValu>
    <labl>Yarlung Tsangpo arid steppe</labl>
  </catgry>
  <catgry>
    <catValu>81101</catValu>
    <labl>Arctic desert</labl>
  </catgry>
  <catgry>
    <catValu>81102</catValu>
    <labl>Bering tundra</labl>
  </catgry>
  <catgry>
    <catValu>81103</catValu>
    <labl>Cherskii-Kolyma mountain tundra</labl>
  </catgry>
  <catgry>
    <catValu>81104</catValu>
    <labl>Chukchi Peninsula tundra</labl>
  </catgry>
  <catgry>
    <catValu>81105</catValu>
    <labl>Kamchatka Mountain tundra and forest tundra</labl>
  </catgry>
  <catgry>
    <catValu>81106</catValu>
    <labl>Kola Peninsula tundra</labl>
  </catgry>
  <catgry>
    <catValu>81107</catValu>
    <labl>Northeast Siberian coastal tundra</labl>
  </catgry>
  <catgry>
    <catValu>81108</catValu>
    <labl>Northwest Russian-Novaya Zemlya tundra</labl>
  </catgry>
  <catgry>
    <catValu>81109</catValu>
    <labl>Novosibirsk Islands arctic desert</labl>
  </catgry>
  <catgry>
    <catValu>81110</catValu>
    <labl>Scandinavian Montane Birch forest and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>81111</catValu>
    <labl>Taimyr-Central Siberian tundra</labl>
  </catgry>
  <catgry>
    <catValu>81112</catValu>
    <labl>Trans-Baikal Bald Mountain tundra</labl>
  </catgry>
  <catgry>
    <catValu>81113</catValu>
    <labl>Wrangel Island arctic desert</labl>
  </catgry>
  <catgry>
    <catValu>81114</catValu>
    <labl>Yamal-Gydan tundra</labl>
  </catgry>
  <catgry>
    <catValu>81201</catValu>
    <labl>Aegean and Western Turkey sclerophyllous and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81202</catValu>
    <labl>Anatolian conifer and deciduous mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81203</catValu>
    <labl>Canary Islands dry woodlands and forests</labl>
  </catgry>
  <catgry>
    <catValu>81204</catValu>
    <labl>Corsican montane broadleaf and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81205</catValu>
    <labl>Crete Mediterranean forests</labl>
  </catgry>
  <catgry>
    <catValu>81206</catValu>
    <labl>Cyprus Mediterranean forests</labl>
  </catgry>
  <catgry>
    <catValu>81207</catValu>
    <labl>Eastern Mediterranean conifer-sclerophyllous-broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>81208</catValu>
    <labl>Iberian conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>81209</catValu>
    <labl>Iberian sclerophyllous and semi-deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>81210</catValu>
    <labl>Illyrian deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>81211</catValu>
    <labl>Italian sclerophyllous and semi-deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>81212</catValu>
    <labl>Mediterranean acacia-argania dry woodlands and succulent thickets</labl>
  </catgry>
  <catgry>
    <catValu>81213</catValu>
    <labl>Mediterranean dry woodlands and steppe</labl>
  </catgry>
  <catgry>
    <catValu>81214</catValu>
    <labl>Mediterranean woodlands and forests</labl>
  </catgry>
  <catgry>
    <catValu>81215</catValu>
    <labl>Northeastern Spain and Southern France Mediterranean forests</labl>
  </catgry>
  <catgry>
    <catValu>81216</catValu>
    <labl>Northwest Iberian montane forests</labl>
  </catgry>
  <catgry>
    <catValu>81217</catValu>
    <labl>Pindus Mountains mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81218</catValu>
    <labl>South Appenine mixed montane forests</labl>
  </catgry>
  <catgry>
    <catValu>81219</catValu>
    <labl>Southeastern Iberian shrubs and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81220</catValu>
    <labl>Southern Anatolian montane conifer and deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>81221</catValu>
    <labl>Southwest Iberian Mediterranean sclerophyllous and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81222</catValu>
    <labl>Tyrrhenian-Adriatic Sclerophyllous and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81301</catValu>
    <labl>Afghan Mountains semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81302</catValu>
    <labl>Alashan Plateau semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81303</catValu>
    <labl>Arabian Desert and East Sahero-Arabian xeric shrublands</labl>
  </catgry>
  <catgry>
    <catValu>81304</catValu>
    <labl>Atlantic coastal desert</labl>
  </catgry>
  <catgry>
    <catValu>81305</catValu>
    <labl>Azerbaijan shrub desert and steppe</labl>
  </catgry>
  <catgry>
    <catValu>81306</catValu>
    <labl>Badghyz and Karabil semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81307</catValu>
    <labl>Baluchistan xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81308</catValu>
    <labl>Caspian lowland desert</labl>
  </catgry>
  <catgry>
    <catValu>81309</catValu>
    <labl>Central Afghan Mountains xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81310</catValu>
    <labl>Central Asian northern desert</labl>
  </catgry>
  <catgry>
    <catValu>81311</catValu>
    <labl>Central Asian riparian woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81312</catValu>
    <labl>Central Asian southern desert</labl>
  </catgry>
  <catgry>
    <catValu>81313</catValu>
    <labl>Central Persian desert basins</labl>
  </catgry>
  <catgry>
    <catValu>81314</catValu>
    <labl>Eastern Gobi desert steppe</labl>
  </catgry>
  <catgry>
    <catValu>81315</catValu>
    <labl>Gobi Lakes Valley desert steppe</labl>
  </catgry>
  <catgry>
    <catValu>81316</catValu>
    <labl>Great Lakes Basin desert steppe</labl>
  </catgry>
  <catgry>
    <catValu>81317</catValu>
    <labl>Junggar Basin semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81318</catValu>
    <labl>Kazakh semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81319</catValu>
    <labl>Kopet Dag semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81320</catValu>
    <labl>Mesopotamian shrub desert</labl>
  </catgry>
  <catgry>
    <catValu>81321</catValu>
    <labl>North Saharan steppe and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81322</catValu>
    <labl>Paropamisus xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81323</catValu>
    <labl>Persian Gulf desert and semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81324</catValu>
    <labl>Qaidam Basin semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81325</catValu>
    <labl>Red Sea Nubo-Sindian tropical desert and semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81326</catValu>
    <labl>Registan-North Pakistan sandy desert</labl>
  </catgry>
  <catgry>
    <catValu>81327</catValu>
    <labl>Sahara desert</labl>
  </catgry>
  <catgry>
    <catValu>81328</catValu>
    <labl>South Iran Nubo-Sindian desert and semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81329</catValu>
    <labl>South Saharan steppe and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81330</catValu>
    <labl>Taklimakan desert</labl>
  </catgry>
  <catgry>
    <catValu>81331</catValu>
    <labl>Tibesti-Jebel Uweinat montane xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81332</catValu>
    <labl>West Saharan montane xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81333</catValu>
    <labl>Red Sea coastal desert</labl>
  </catgry>
  <txt>ECOREGION reports the predominant terrestrial ecoregion within a 5-kilometer circular buffer around each DHS cluster location. ECOREGION reports the biogeographic region (e.g., Afrotropic), the habitat type (e.g., tropical and subtropical grasslands, savannas, and shrublands), and the ecoregion (e.g., East Sudanian savanna) that are associated with each cluster location. ECOREGION is available for every IPUMS-DHS sample with GPS data.

There are 825 terrestrial ecoregions in the world. Ecoregions are relatively large units of land containing distinct assemblages of natural communities and species, with boundaries that approximate the original extent of natural communities prior to major land-use change. The 5-digit codes in ECOREGION (e.g., 30129) include a 1-digit realm code (with 8 possible values), followed by a 2-digit biome code (with 14 possible values), and then a 2-digit ecoregion number. For the full list of codes and their meaning, see the ecoregion legend  [URL omitted from DDI.].

ECOREGION, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_LIVELIHOOD" name="M_LIVELIHOOD" files="M" intrvl="discrete">
  <labl>Livelihood zone of household</labl>
  <imputation>Livelihood zone of household</imputation>
  <security>Livelihood zone of household</security>
  <embargo>Livelihood zone of household</embargo>
  <respUnit>Livelihood zone of household</respUnit>
  <catgry>
    <catValu>-00998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>004001</catValu>
    <labl>Eastern Pastoral and Forest Zone</labl>
  </catgry>
  <catgry>
    <catValu>004002</catValu>
    <labl>Eastern Agro-Pastoral and Forest Zone</labl>
  </catgry>
  <catgry>
    <catValu>004003</catValu>
    <labl>Eastern Agro-Pastoral and Rangeland Zone</labl>
  </catgry>
  <catgry>
    <catValu>004004</catValu>
    <labl>Eastern Semi-Arid Agricultural Zone</labl>
  </catgry>
  <catgry>
    <catValu>004005</catValu>
    <labl>Eastern Agricultural and Labor-Based Zone</labl>
  </catgry>
  <catgry>
    <catValu>004006</catValu>
    <labl>Eastern Intensively Irrigated Zone</labl>
  </catgry>
  <catgry>
    <catValu>004007</catValu>
    <labl>Eastern Cross-Border Trade and Labor-Based Zone</labl>
  </catgry>
  <catgry>
    <catValu>004008</catValu>
    <labl>Eastern Irrigated and Rainfed Agricultural Zone</labl>
  </catgry>
  <catgry>
    <catValu>004009</catValu>
    <labl>East-Central Irrigated Zone</labl>
  </catgry>
  <catgry>
    <catValu>004010</catValu>
    <labl>Southern Intensively Irrigated Cash Crop Zone</labl>
  </catgry>
  <catgry>
    <catValu>004011</catValu>
    <labl>Southern Semi-Arid Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004012</catValu>
    <labl>South-Central Agro-Pastoral and Labor-Based Zone</labl>
  </catgry>
  <catgry>
    <catValu>004013</catValu>
    <labl>Southern Desert Zone</labl>
  </catgry>
  <catgry>
    <catValu>004014</catValu>
    <labl>South-Central Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004015</catValu>
    <labl>North-Western Agro-Pastoral and Pistachio Zone</labl>
  </catgry>
  <catgry>
    <catValu>004016</catValu>
    <labl>Western Intensively Irrigated Zone</labl>
  </catgry>
  <catgry>
    <catValu>004017</catValu>
    <labl>Western Semi-Arid Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004018</catValu>
    <labl>West-Central Highland Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004019</catValu>
    <labl>Western and Southern Cross-Border Trade and Labor Zone</labl>
  </catgry>
  <catgry>
    <catValu>004020</catValu>
    <labl>North-Eastern Highland Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004021</catValu>
    <labl>Salangi Plains Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>004022</catValu>
    <labl>Northern Lowland Cereals and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>004023</catValu>
    <labl>Northern High Cereals Production Zone</labl>
  </catgry>
  <catgry>
    <catValu>004024</catValu>
    <labl>North-Central Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004025</catValu>
    <labl>Northern Irrigated and Rainfed Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>004026</catValu>
    <labl>Northern Intensively Irrigated Agricultural Zone</labl>
  </catgry>
  <catgry>
    <catValu>004027</catValu>
    <labl>Amo River Irrigation and Cross-Border Trade Zone</labl>
  </catgry>
  <catgry>
    <catValu>004028</catValu>
    <labl>East-Central Agro-Forestry Zone</labl>
  </catgry>
  <catgry>
    <catValu>004029</catValu>
    <labl>Central Cash-Crop and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>024001</catValu>
    <labl>Coastal fishing, horticulture, and non-farm income</labl>
  </catgry>
  <catgry>
    <catValu>024002</catValu>
    <labl>Transitional banana and pineapple farming</labl>
  </catgry>
  <catgry>
    <catValu>024003</catValu>
    <labl>Southern livestock, millet, and sorghum</labl>
  </catgry>
  <catgry>
    <catValu>024004</catValu>
    <labl>Sub humid livestock and maize</labl>
  </catgry>
  <catgry>
    <catValu>024005</catValu>
    <labl>Mid-eastern cassava and savannah forest</labl>
  </catgry>
  <catgry>
    <catValu>024006</catValu>
    <labl>Central highlands potato and vegetables</labl>
  </catgry>
  <catgry>
    <catValu>024007</catValu>
    <labl>Central highlands maize and beans</labl>
  </catgry>
  <catgry>
    <catValu>024008</catValu>
    <labl>Transitional lowland maize, cassava, and beans</labl>
  </catgry>
  <catgry>
    <catValu>024009</catValu>
    <labl>Tropical forest, cassava, banana, and coffee</labl>
  </catgry>
  <catgry>
    <catValu>024010</catValu>
    <labl>Savannah forest and market-oriented cassava</labl>
  </catgry>
  <catgry>
    <catValu>024011</catValu>
    <labl>Savannah forest and subsistence cassava</labl>
  </catgry>
  <catgry>
    <catValu>024012</catValu>
    <labl>Fishing, cassava, and cross-border trade</labl>
  </catgry>
  <catgry>
    <catValu>024013</catValu>
    <labl>Coastal livestock ranching</labl>
  </catgry>
  <catgry>
    <catValu>108001</catValu>
    <labl>Buragane</labl>
  </catgry>
  <catgry>
    <catValu>108002</catValu>
    <labl>Congo Ridge Millet</labl>
  </catgry>
  <catgry>
    <catValu>108003</catValu>
    <labl>Eastern Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>108004</catValu>
    <labl>Northern Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>108005</catValu>
    <labl>Northern Highlands</labl>
  </catgry>
  <catgry>
    <catValu>108006</catValu>
    <labl>Southern Highlands</labl>
  </catgry>
  <catgry>
    <catValu>108007</catValu>
    <labl>Imbo Plain</labl>
  </catgry>
  <catgry>
    <catValu>108008</catValu>
    <labl>Humid Plateaus</labl>
  </catgry>
  <catgry>
    <catValu>108009</catValu>
    <labl>Eastern Arid Plateaus</labl>
  </catgry>
  <catgry>
    <catValu>140001</catValu>
    <labl>Southeast cassava, peanuts, and maize</labl>
  </catgry>
  <catgry>
    <catValu>140002</catValu>
    <labl>Northeast hunting and food crops</labl>
  </catgry>
  <catgry>
    <catValu>140003</catValu>
    <labl>Northern sorghum and millet</labl>
  </catgry>
  <catgry>
    <catValu>140004</catValu>
    <labl>East central mining, cassava, and peanuts</labl>
  </catgry>
  <catgry>
    <catValu>140005</catValu>
    <labl>Southern coffee, cassava, and maize</labl>
  </catgry>
  <catgry>
    <catValu>140006</catValu>
    <labl>Central cassava, peanuts, and maize</labl>
  </catgry>
  <catgry>
    <catValu>140007</catValu>
    <labl>Central cotton, cassava, and maize</labl>
  </catgry>
  <catgry>
    <catValu>140008</catValu>
    <labl>Northern cotton, cassava, and sorghum</labl>
  </catgry>
  <catgry>
    <catValu>140009</catValu>
    <labl>Western cassava, maize, and peanuts</labl>
  </catgry>
  <catgry>
    <catValu>140010</catValu>
    <labl>Southern maize, citrus fruits, and vegetables</labl>
  </catgry>
  <catgry>
    <catValu>140011</catValu>
    <labl>Southwest cassava, coffee, gathering, and mining</labl>
  </catgry>
  <catgry>
    <catValu>148001</catValu>
    <labl>Southern Staple and Cash Crops</labl>
  </catgry>
  <catgry>
    <catValu>148002</catValu>
    <labl>Southwest Rice</labl>
  </catgry>
  <catgry>
    <catValu>148003</catValu>
    <labl>South-central Cereals</labl>
  </catgry>
  <catgry>
    <catValu>148004</catValu>
    <labl>Southeast Flood Retreat and Gum Arabic</labl>
  </catgry>
  <catgry>
    <catValu>148005</catValu>
    <labl>Central Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>148006</catValu>
    <labl>Eastern Rainfed Cereals and Market Gardening</labl>
  </catgry>
  <catgry>
    <catValu>148007</catValu>
    <labl>Transhumance</labl>
  </catgry>
  <catgry>
    <catValu>148008</catValu>
    <labl>Western Agropastoral and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>148009</catValu>
    <labl>Northern Oasis Cultivation with Camels and Natron</labl>
  </catgry>
  <catgry>
    <catValu>180001</catValu>
    <labl>Copperbelt and Marginal Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180002</catValu>
    <labl>Savannah Manioc</labl>
  </catgry>
  <catgry>
    <catValu>180003</catValu>
    <labl>Savannah Surplus Maize</labl>
  </catgry>
  <catgry>
    <catValu>180004</catValu>
    <labl>Kamalondo Depression</labl>
  </catgry>
  <catgry>
    <catValu>180005</catValu>
    <labl>Southern Tanganyika-Mwero Fishing</labl>
  </catgry>
  <catgry>
    <catValu>180006</catValu>
    <labl>Maniema Savannah Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180007</catValu>
    <labl>High Food Production and Surplus Trade</labl>
  </catgry>
  <catgry>
    <catValu>180008</catValu>
    <labl>Northern Tanganyika Midland Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180009</catValu>
    <labl>Agropastoral Mountains</labl>
  </catgry>
  <catgry>
    <catValu>180010</catValu>
    <labl>Midland Agricultural Savannah</labl>
  </catgry>
  <catgry>
    <catValu>180011</catValu>
    <labl>Rutshuru Volcanic Soils and Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180012</catValu>
    <labl>Forest Cultivation and Products</labl>
  </catgry>
  <catgry>
    <catValu>180013</catValu>
    <labl>Artisanal Mining with Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180014</catValu>
    <labl>Northeast Highlands Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180015</catValu>
    <labl>Orientale Fishing with Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180016</catValu>
    <labl>Northern Plateau Cassava, Maize, Groundnuts and Beans</labl>
  </catgry>
  <catgry>
    <catValu>180017</catValu>
    <labl>Bumba Rice and Tubers</labl>
  </catgry>
  <catgry>
    <catValu>180018</catValu>
    <labl>Bomongo and Makanza Districts Intensive Fishing</labl>
  </catgry>
  <catgry>
    <catValu>180019</catValu>
    <labl>Fishing and Staples Riverine</labl>
  </catgry>
  <catgry>
    <catValu>180020</catValu>
    <labl>Cuvette Centrale Staple Crops, Fishing and Charcoal</labl>
  </catgry>
  <catgry>
    <catValu>180021</catValu>
    <labl>Equatorial Forest, Hunting, Fishing and Staple Crops</labl>
  </catgry>
  <catgry>
    <catValu>180022</catValu>
    <labl>Lighter Forest with Rice and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>180023</catValu>
    <labl>Savannah with Cassava and Cowpeas and Small Livestock</labl>
  </catgry>
  <catgry>
    <catValu>180024</catValu>
    <labl>High Food Crop Production and Trading</labl>
  </catgry>
  <catgry>
    <catValu>180025</catValu>
    <labl>Intensive Artisanal Diamond Exploitation with Crop Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>180026</catValu>
    <labl>Clay Soils with High Production of Cassava and Maize, and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>180027</catValu>
    <labl>Agropastoral â€“ Staple Crops, Small Stock and Cattle and Wild Foods</labl>
  </catgry>
  <catgry>
    <catValu>180028</catValu>
    <labl>Agriculture with High Production and Marketing</labl>
  </catgry>
  <catgry>
    <catValu>180029</catValu>
    <labl>Cassava, Maize and Groundnuts</labl>
  </catgry>
  <catgry>
    <catValu>180030</catValu>
    <labl>Market Gardening and Staple Crops</labl>
  </catgry>
  <catgry>
    <catValu>180031</catValu>
    <labl>River Fishing and Staple Crops</labl>
  </catgry>
  <catgry>
    <catValu>180032</catValu>
    <labl>Coastal Ocean Fishing and Kitchen Gardening</labl>
  </catgry>
  <catgry>
    <catValu>180033</catValu>
    <labl>Forest â€“ Staple Crops, Cash Crops and Market Gardening</labl>
  </catgry>
  <catgry>
    <catValu>180034</catValu>
    <labl>Kinshasa Peri-urban</labl>
  </catgry>
  <catgry>
    <catValu>222001</catValu>
    <labl>Basic Grain and Labor Zone</labl>
  </catgry>
  <catgry>
    <catValu>222002</catValu>
    <labl>Coffee, Agro-Industrial and Labor Zone</labl>
  </catgry>
  <catgry>
    <catValu>222003</catValu>
    <labl>Sugarcane, Agro-Industry and Labor Zone</labl>
  </catgry>
  <catgry>
    <catValu>222004</catValu>
    <labl>Eastern Basic Grain, Labor, Livestock and Remittance Zone</labl>
  </catgry>
  <catgry>
    <catValu>222005</catValu>
    <labl>Central Free-Trade, Services and Industrial Labor Zone</labl>
  </catgry>
  <catgry>
    <catValu>222006</catValu>
    <labl>Fishing, Aquaculture and Tourism Zone</labl>
  </catgry>
  <catgry>
    <catValu>231001</catValu>
    <labl>Addis Ababa City</labl>
  </catgry>
  <catgry>
    <catValu>231002</catValu>
    <labl>Asale Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231003</catValu>
    <labl>Awsa-Gewane Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231004</catValu>
    <labl>Aramiss - Adaar Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231005</catValu>
    <labl>Asale Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231006</catValu>
    <labl>Chenno Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231007</catValu>
    <labl>Eli daar Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231008</catValu>
    <labl>Namalefan &amp; Baadu Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231009</catValu>
    <labl>Teru Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231010</catValu>
    <labl>Abay Beshilo River Basin</labl>
  </catgry>
  <catgry>
    <catValu>231011</catValu>
    <labl>Abay Tekeze Watershed</labl>
  </catgry>
  <catgry>
    <catValu>231012</catValu>
    <labl>Central Highland Barley &amp; Potato</labl>
  </catgry>
  <catgry>
    <catValu>231013</catValu>
    <labl>Cheffa valley</labl>
  </catgry>
  <catgry>
    <catValu>231014</catValu>
    <labl>Guna Highland</labl>
  </catgry>
  <catgry>
    <catValu>231015</catValu>
    <labl>Merhabete Lowland Sorghum and teff</labl>
  </catgry>
  <catgry>
    <catValu>231016</catValu>
    <labl>Minjar teff and livestock</labl>
  </catgry>
  <catgry>
    <catValu>231017</catValu>
    <labl>Minjar teff and sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231018</catValu>
    <labl>North Wollo Highland Belg</labl>
  </catgry>
  <catgry>
    <catValu>231019</catValu>
    <labl>North East Woyna Dega Mixed Cereal</labl>
  </catgry>
  <catgry>
    <catValu>231020</catValu>
    <labl>North Shewa highland sheep and barley</labl>
  </catgry>
  <catgry>
    <catValu>231021</catValu>
    <labl>North Shewa Highland Wheat and Teff productive</labl>
  </catgry>
  <catgry>
    <catValu>231022</catValu>
    <labl>N Highland wheat, Barley &amp; Sheep</labl>
  </catgry>
  <catgry>
    <catValu>231023</catValu>
    <labl>NorthWest Cash Crop</labl>
  </catgry>
  <catgry>
    <catValu>231024</catValu>
    <labl>North Wollo East Plain</labl>
  </catgry>
  <catgry>
    <catValu>231025</catValu>
    <labl>NorthWest Sorghum Belt</labl>
  </catgry>
  <catgry>
    <catValu>231026</catValu>
    <labl>South Wollo Meher</labl>
  </catgry>
  <catgry>
    <catValu>231027</catValu>
    <labl>South Wollo Belg</labl>
  </catgry>
  <catgry>
    <catValu>231028</catValu>
    <labl>South West Maize, Finger Millet and Teff productive</labl>
  </catgry>
  <catgry>
    <catValu>231029</catValu>
    <labl>South Wollo &amp; Oromia Eastern lowland sorghum &amp; cattle</labl>
  </catgry>
  <catgry>
    <catValu>231030</catValu>
    <labl>South East Woyna Dega Teff</labl>
  </catgry>
  <catgry>
    <catValu>231031</catValu>
    <labl>South West Woyna Dega wheat</labl>
  </catgry>
  <catgry>
    <catValu>231032</catValu>
    <labl>Tekeze Lowland Sorghum and Goats</labl>
  </catgry>
  <catgry>
    <catValu>231033</catValu>
    <labl>Tana Zuria</labl>
  </catgry>
  <catgry>
    <catValu>231034</catValu>
    <labl>South Wollo Meher and Belg</labl>
  </catgry>
  <catgry>
    <catValu>231035</catValu>
    <labl>Central Kolla Sorghum, Maize &amp; Millet</labl>
  </catgry>
  <catgry>
    <catValu>231036</catValu>
    <labl>Midland Teff &amp; Coffee</labl>
  </catgry>
  <catgry>
    <catValu>231037</catValu>
    <labl>Western Dry Kolla Sorghum, Maize &amp; Mining</labl>
  </catgry>
  <catgry>
    <catValu>231038</catValu>
    <labl>Meketel Highland Cereal &amp; Pulses</labl>
  </catgry>
  <catgry>
    <catValu>231039</catValu>
    <labl>Gambella Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231040</catValu>
    <labl>Gambella Coffee, Honey &amp; Cereal LZ</labl>
  </catgry>
  <catgry>
    <catValu>231041</catValu>
    <labl>Gambella Mixed Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>231042</catValu>
    <labl>No Data</labl>
  </catgry>
  <catgry>
    <catValu>231043</catValu>
    <labl>Arsi Bale Wheat, Barley &amp; Potato</labl>
  </catgry>
  <catgry>
    <catValu>231044</catValu>
    <labl>Anfilo Coffee Monoculture &amp; Honey</labl>
  </catgry>
  <catgry>
    <catValu>231045</catValu>
    <labl>Abe Dongoro-Diga-Sasiga Coffee &amp; Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231046</catValu>
    <labl>Adaba Dodola Community Forest</labl>
  </catgry>
  <catgry>
    <catValu>231047</catValu>
    <labl>Agarfa, Gasera, Ginir &amp; Gololcha Fruit, Coffee &amp; Chat</labl>
  </catgry>
  <catgry>
    <catValu>231048</catValu>
    <labl>Ambo Selale Ginderberet Teff &amp; Wheat</labl>
  </catgry>
  <catgry>
    <catValu>231049</catValu>
    <labl>Abijata Shala Jido Agro-Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231050</catValu>
    <labl>Abay Gorge Sesame, Maize &amp; Honey</labl>
  </catgry>
  <catgry>
    <catValu>231051</catValu>
    <labl>Ameya-Wolisso-Ambo Teff &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231052</catValu>
    <labl>Becho-Adea Teff &amp; Chickpea</labl>
  </catgry>
  <catgry>
    <catValu>231053</catValu>
    <labl>Borena-Guji Maize, Wheat &amp; Livestock</labl>
  </catgry>
  <catgry>
    <catValu>231054</catValu>
    <labl>Borena-Guji Coffee &amp; Enset</labl>
  </catgry>
  <catgry>
    <catValu>231055</catValu>
    <labl>Borena-Guji Cattle Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>231056</catValu>
    <labl>Bale Agro-Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231057</catValu>
    <labl>Bale Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>231058</catValu>
    <labl>Chercher &amp; Gololcha Chole Coffee, Maize &amp; Chat</labl>
  </catgry>
  <catgry>
    <catValu>231059</catValu>
    <labl>Central Horo Teff, Nug &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231060</catValu>
    <labl>Chebo-Inchini Enset, Barley &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231061</catValu>
    <labl>Chat &amp; Vegetables</labl>
  </catgry>
  <catgry>
    <catValu>231062</catValu>
    <labl>Dallo, Barbare &amp; Arana-Buluk Coffee</labl>
  </catgry>
  <catgry>
    <catValu>231063</catValu>
    <labl>Dale-Lalo Sorghum &amp; Maize</labl>
  </catgry>
  <catgry>
    <catValu>231064</catValu>
    <labl>Didessa-Gibe-Wama Valley Sorghum, Maize &amp; Oilcrops</labl>
  </catgry>
  <catgry>
    <catValu>231065</catValu>
    <labl>Ebantu-Limu Teff &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231066</catValu>
    <labl>Guduru-Amuru Maize, Teff &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231067</catValu>
    <labl>Guji-Borena Enset, Barley &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231068</catValu>
    <labl>Gerbo Enset &amp; Chat</labl>
  </catgry>
  <catgry>
    <catValu>231069</catValu>
    <labl>Gursum-Babile Groundnuts &amp; Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231070</catValu>
    <labl>Gera-Setema-Sale Forest Teff, Honey &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231071</catValu>
    <labl>Gibe Maize &amp; Peppers</labl>
  </catgry>
  <catgry>
    <catValu>231072</catValu>
    <labl>Goro-Ginir Spice &amp; Wheat</labl>
  </catgry>
  <catgry>
    <catValu>231073</catValu>
    <labl>Anger Maize, Sorghum &amp; Finger Millet</labl>
  </catgry>
  <catgry>
    <catValu>231074</catValu>
    <labl>Illu-Wellega-Birbir Maize, Peppers &amp; Sesame</labl>
  </catgry>
  <catgry>
    <catValu>231075</catValu>
    <labl>Jimma-Illubabur Coffee, Cereals &amp; Chat</labl>
  </catgry>
  <catgry>
    <catValu>231076</catValu>
    <labl>Jaldu-Dendi-Ilfata Barley &amp; Potato</labl>
  </catgry>
  <catgry>
    <catValu>231077</catValu>
    <labl>Jimma-Yama Logi Teff &amp; Maize</labl>
  </catgry>
  <catgry>
    <catValu>231078</catValu>
    <labl>Kofele Kokosa Enset &amp; Cattle Belt</labl>
  </catgry>
  <catgry>
    <catValu>231079</catValu>
    <labl>Muger-Abay-Jema Sorghum &amp; Teff Belt</labl>
  </catgry>
  <catgry>
    <catValu>231080</catValu>
    <labl>Melka Awash-Ochocha Mid-Highland Wheat &amp; Teff</labl>
  </catgry>
  <catgry>
    <catValu>231081</catValu>
    <labl>Moyale Agro-Pastoral, Labour &amp; Cross-Border Trade</labl>
  </catgry>
  <catgry>
    <catValu>231082</catValu>
    <labl>Moyale Cattle, Shoats &amp; Camel Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>231083</catValu>
    <labl>Market-Isolated Cattle &amp; Shoat Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>231084</catValu>
    <labl>Kereyu Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231085</catValu>
    <labl>Mendi-Dabisu Maize, Sesame &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231086</catValu>
    <labl>North-East Agro-Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231087</catValu>
    <labl>Nadda-Gilgel Gibe Maize, Teff and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231088</catValu>
    <labl>Nole-Meko-Diga Teff &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231089</catValu>
    <labl>Nejo-Dilla Teff, Finger Millet &amp; Nug</labl>
  </catgry>
  <catgry>
    <catValu>231090</catValu>
    <labl>Southern Agro-Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231091</catValu>
    <labl>Keto-Begi Cereals &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231092</catValu>
    <labl>Robe Chole Sude &amp; Seru Teff Maize Haricot Bean Belt</labl>
  </catgry>
  <catgry>
    <catValu>231093</catValu>
    <labl>Rift Valley Maize &amp; Horse Bean</labl>
  </catgry>
  <catgry>
    <catValu>231094</catValu>
    <labl>Selale-Ambo Highland Barley, Wheat and Horsebean belt</labl>
  </catgry>
  <catgry>
    <catValu>231095</catValu>
    <labl>Soddo Highland Wheat, Barley &amp; Enset</labl>
  </catgry>
  <catgry>
    <catValu>231096</catValu>
    <labl>Siraro Kofele Potato &amp; Vegetables</labl>
  </catgry>
  <catgry>
    <catValu>231097</catValu>
    <labl>Sorghum, Maize &amp; Chat</labl>
  </catgry>
  <catgry>
    <catValu>231098</catValu>
    <labl>Shirka Ticho Spice &amp; Teff</labl>
  </catgry>
  <catgry>
    <catValu>231099</catValu>
    <labl>Wheat, Barley &amp; Potato</labl>
  </catgry>
  <catgry>
    <catValu>231100</catValu>
    <labl>Wellega-Dedo Highland Wheat &amp; Barley</labl>
  </catgry>
  <catgry>
    <catValu>231101</catValu>
    <labl>Wuchale-Abichu-Kembebit Livestock, 'Wild Oats' &amp; Barley/Wheat</labl>
  </catgry>
  <catgry>
    <catValu>231102</catValu>
    <labl>Wellega Coffee, Maize &amp; Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231103</catValu>
    <labl>Amaro Coffee and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231104</catValu>
    <labl>Awassa Chat and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231105</catValu>
    <labl>Alaba-Mareko Lowland Pepper LZ</labl>
  </catgry>
  <catgry>
    <catValu>231106</catValu>
    <labl>Badewacho-Alaba Maize LZ</labl>
  </catgry>
  <catgry>
    <catValu>231107</catValu>
    <labl>Bilate Basin Agro-Pastoral LZ</labl>
  </catgry>
  <catgry>
    <catValu>231108</catValu>
    <labl>Bench-Keffa Cereal and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231109</catValu>
    <labl>Basketo-Melo Coffee and Root Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231110</catValu>
    <labl>Dawro-Konta Maize and Root Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231111</catValu>
    <labl>Western Coffee and Spices LZ - Eastern sub-zone</labl>
  </catgry>
  <catgry>
    <catValu>231112</catValu>
    <labl>Gedeo Coffee LZ</labl>
  </catgry>
  <catgry>
    <catValu>231113</catValu>
    <labl>Gurage-Siltie Highland Enset and Barley LZ</labl>
  </catgry>
  <catgry>
    <catValu>231114</catValu>
    <labl>Gurage-Siltie Midland Enset and Chat LZ</labl>
  </catgry>
  <catgry>
    <catValu>231115</catValu>
    <labl>Gurage-Siltie Enset and Teff LZ</labl>
  </catgry>
  <catgry>
    <catValu>231116</catValu>
    <labl>Gamo Gofa Enset and Barley LZ</labl>
  </catgry>
  <catgry>
    <catValu>231117</catValu>
    <labl>Gurage Lowland Maize and Teff LZ</labl>
  </catgry>
  <catgry>
    <catValu>231118</catValu>
    <labl>Gamo Gofa Maize and Root Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231119</catValu>
    <labl>Hadero Ginger LZ</labl>
  </catgry>
  <catgry>
    <catValu>231120</catValu>
    <labl>Hadiya Maize LZ</labl>
  </catgry>
  <catgry>
    <catValu>231121</catValu>
    <labl>Hadiya-Kembata Cereal and Enset LZ - Hadiya sub zone</labl>
  </catgry>
  <catgry>
    <catValu>231122</catValu>
    <labl>Chamo-Abaya Irrigated Banana LZ</labl>
  </catgry>
  <catgry>
    <catValu>231123</catValu>
    <labl>Kedida-Badewacho Coffee LZ</labl>
  </catgry>
  <catgry>
    <catValu>231124</catValu>
    <labl>Hadiya-Kembata Cereal and Enset LZ - Kembata sub-zone</labl>
  </catgry>
  <catgry>
    <catValu>231125</catValu>
    <labl>Kaffa Cereal and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231126</catValu>
    <labl>Southern Special Woredas Lowland Cereal LZ</labl>
  </catgry>
  <catgry>
    <catValu>231127</catValu>
    <labl>Omo River Flood Recession LZ</labl>
  </catgry>
  <catgry>
    <catValu>231128</catValu>
    <labl>Omo Valley Maize and Sorghum LZ</labl>
  </catgry>
  <catgry>
    <catValu>231129</catValu>
  </catgry>
  <catgry>
    <catValu>231130</catValu>
    <labl>Southern Cereal, Enset and Root Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231131</catValu>
    <labl>Sidama Coffee LZ</labl>
  </catgry>
  <catgry>
    <catValu>231132</catValu>
    <labl>Surma Agro-Pastoral LZ</labl>
  </catgry>
  <catgry>
    <catValu>231133</catValu>
    <labl>Sidama-Gedeo Highland Enset and Barley LZ</labl>
  </catgry>
  <catgry>
    <catValu>231134</catValu>
    <labl>Sidama Maize Belt LZ</labl>
  </catgry>
  <catgry>
    <catValu>231135</catValu>
    <labl>Southern Agro-Pastoral Livelihood Zone</labl>
  </catgry>
  <catgry>
    <catValu>231136</catValu>
    <labl>South Omo Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231137</catValu>
    <labl>South Omo Pastoral LZ</labl>
  </catgry>
  <catgry>
    <catValu>231138</catValu>
    <labl>Salamago Pastoral LZ</labl>
  </catgry>
  <catgry>
    <catValu>231139</catValu>
    <labl>Sheka Cereal and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231140</catValu>
    <labl>Wolayita Ginger and Coffee LZ</labl>
  </catgry>
  <catgry>
    <catValu>231141</catValu>
    <labl>Western Coffee and Spices LZ - Western sub-zone</labl>
  </catgry>
  <catgry>
    <catValu>231142</catValu>
    <labl>Western Forest Products LZ</labl>
  </catgry>
  <catgry>
    <catValu>231143</catValu>
    <labl>Wolayita Maize and Root Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231144</catValu>
    <labl>Wolayita Barley and Wheat LZ</labl>
  </catgry>
  <catgry>
    <catValu>231145</catValu>
    <labl>Yem Cereal and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231146</catValu>
    <labl>Afder Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231147</catValu>
    <labl>Degahbur Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231148</catValu>
    <labl>Dawa-Ganale Riverine</labl>
  </catgry>
  <catgry>
    <catValu>231149</catValu>
    <labl>Filtu-Dolo Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231150</catValu>
    <labl>Fik Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231151</catValu>
    <labl>Gode Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231152</catValu>
    <labl>Harshin-Degahbur East Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231153</catValu>
    <labl>Jijiga Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231154</catValu>
    <labl>Jijiga Sedentary Farming</labl>
  </catgry>
  <catgry>
    <catValu>231155</catValu>
    <labl>Korahe Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231156</catValu>
    <labl>Korahe-Gode Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231157</catValu>
    <labl>Liban Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231158</catValu>
    <labl>Lowland-Hawd Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231159</catValu>
    <labl>Moyale-Wayamo Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231160</catValu>
    <labl>No Data</labl>
  </catgry>
  <catgry>
    <catValu>231161</catValu>
    <labl>Shinile Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231162</catValu>
    <labl>Shinile Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231163</catValu>
    <labl>Shabelle Riverine</labl>
  </catgry>
  <catgry>
    <catValu>231164</catValu>
    <labl>Adiyabo Lowland</labl>
  </catgry>
  <catgry>
    <catValu>231165</catValu>
    <labl>Alaje Ofla Highland</labl>
  </catgry>
  <catgry>
    <catValu>231166</catValu>
    <labl>Atsbi Womberta Highland</labl>
  </catgry>
  <catgry>
    <catValu>231167</catValu>
    <labl>Central Mixed Crop</labl>
  </catgry>
  <catgry>
    <catValu>231168</catValu>
    <labl>Enderta Dry Midland</labl>
  </catgry>
  <catgry>
    <catValu>231169</catValu>
    <labl>Eastern Planteau</labl>
  </catgry>
  <catgry>
    <catValu>231170</catValu>
    <labl>Gesho and Wheat Highland</labl>
  </catgry>
  <catgry>
    <catValu>231171</catValu>
    <labl>Humera Sesame and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231172</catValu>
    <labl>Irob Mountains</labl>
  </catgry>
  <catgry>
    <catValu>231173</catValu>
    <labl>Mereb Basin</labl>
  </catgry>
  <catgry>
    <catValu>231174</catValu>
    <labl>Middle Tekeze</labl>
  </catgry>
  <catgry>
    <catValu>231175</catValu>
    <labl>Raya Valley</labl>
  </catgry>
  <catgry>
    <catValu>231176</catValu>
    <labl>Tsirare Catchment</labl>
  </catgry>
  <catgry>
    <catValu>231177</catValu>
    <labl>West Central Teff</labl>
  </catgry>
  <catgry>
    <catValu>231178</catValu>
    <labl>Werie Catchment</labl>
  </catgry>
  <catgry>
    <catValu>231179</catValu>
    <labl>Western Cereal and Sesame</labl>
  </catgry>
  <catgry>
    <catValu>262001</catValu>
    <labl>Northwest Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>262002</catValu>
    <labl>Central Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>262003</catValu>
    <labl>Southeast Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>262004</catValu>
    <labl>Market Gardening</labl>
  </catgry>
  <catgry>
    <catValu>262005</catValu>
    <labl>Djibouti City</labl>
  </catgry>
  <catgry>
    <catValu>324001</catValu>
    <labl>Coastal: Rice, Fishing, Palm oil</labl>
  </catgry>
  <catgry>
    <catValu>324002</catValu>
    <labl>Piedmont: Rice, Groundnut, Horticulture</labl>
  </catgry>
  <catgry>
    <catValu>324003</catValu>
    <labl>Central plateau: Horticulture, Fonio, Livestock</labl>
  </catgry>
  <catgry>
    <catValu>324004</catValu>
    <labl>Mountain: Livestock, Fonio, Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>324005</catValu>
    <labl>Mountain : Rice, Livestock, Fonio</labl>
  </catgry>
  <catgry>
    <catValu>324006</catValu>
    <labl>Northern plateau: Rice, Groundnut, Livestock</labl>
  </catgry>
  <catgry>
    <catValu>324007</catValu>
    <labl>Savannah with shrubs: Rice, Gold mining, Livestock</labl>
  </catgry>
  <catgry>
    <catValu>324008</catValu>
    <labl>Northeast: Maize, Gold mining, Livestock</labl>
  </catgry>
  <catgry>
    <catValu>324009</catValu>
    <labl>Wooded savannah: Rice, Manioc, Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>324010</catValu>
    <labl>Pre-forest zone: Rice, Manioc, Livestock</labl>
  </catgry>
  <catgry>
    <catValu>324011</catValu>
    <labl>Forest: Rice, Palm oil, Coffee</labl>
  </catgry>
  <catgry>
    <catValu>332001</catValu>
    <labl>Dry Coastal Maize and Charcoal</labl>
  </catgry>
  <catgry>
    <catValu>332002</catValu>
    <labl>North Tubers and Horticulture</labl>
  </catgry>
  <catgry>
    <catValu>332003</catValu>
    <labl>Central Plateau Maize and Tubers</labl>
  </catgry>
  <catgry>
    <catValu>332004</catValu>
    <labl>Rice Plains of the Artibonite</labl>
  </catgry>
  <catgry>
    <catValu>332005</catValu>
    <labl>Western Banana Plains of Arcahaie</labl>
  </catgry>
  <catgry>
    <catValu>332006</catValu>
    <labl>West Gardening and Beans</labl>
  </catgry>
  <catgry>
    <catValu>332007</catValu>
    <labl>South Beans, Bananas, and Petty Trade</labl>
  </catgry>
  <catgry>
    <catValu>332008</catValu>
    <labl>Southwestern Coast Maize, Manioc, and Bush Products</labl>
  </catgry>
  <catgry>
    <catValu>332009</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>340000</catValu>
    <labl>Casco urbano</labl>
  </catgry>
  <catgry>
    <catValu>340001</catValu>
    <labl>Zona de medios de vida litoral GarÃ­funa y de turismo en islas de la BahÃ­a</labl>
  </catgry>
  <catgry>
    <catValu>340002</catValu>
    <labl>Zona litoral atlÃ¡ntica productora de aceite de palma</labl>
  </catgry>
  <catgry>
    <catValu>340003</catValu>
    <labl>Zona de venta de obra en maquilas, banano y caÃ±a de azÃºcar</labl>
  </catgry>
  <catgry>
    <catValu>340004</catValu>
    <labl>Zona Mosquitia de caza y pesca</labl>
  </catgry>
  <catgry>
    <catValu>340005</catValu>
    <labl>Zona montaÃ±osa de cafÃ©</labl>
  </catgry>
  <catgry>
    <catValu>340006</catValu>
    <labl>Zona de medios de vida pesquera y salinera del Golfo de Fonseca</labl>
  </catgry>
  <catgry>
    <catValu>340007</catValu>
    <labl>Zona de granos bÃ¡sicos de subsistencia y remesas</labl>
  </catgry>
  <catgry>
    <catValu>340008</catValu>
    <labl>Zona de venta de mano de obra en melÃ³n, sandÃ­a y camarÃ³n</labl>
  </catgry>
  <catgry>
    <catValu>340009</catValu>
    <labl>Zona de medios de vida, granos bÃ¡sicos y ganaderÃ­a</labl>
  </catgry>
  <catgry>
    <catValu>340010</catValu>
    <labl>Reserva del RÃ­o Platano</labl>
  </catgry>
  <catgry>
    <catValu>404001</catValu>
    <labl>Northwestern Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404002</catValu>
    <labl>Turkwell Riverine Zone</labl>
  </catgry>
  <catgry>
    <catValu>404003</catValu>
    <labl>Northwestern Agropastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404004</catValu>
    <labl>Lake Turkana Fishing</labl>
  </catgry>
  <catgry>
    <catValu>404005</catValu>
    <labl>Northern Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404006</catValu>
    <labl>Marsabit Marginal Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404007</catValu>
    <labl>Northeastern Agropastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404008</catValu>
    <labl>Mandera Riverine Zone</labl>
  </catgry>
  <catgry>
    <catValu>404009</catValu>
    <labl>Northeastern Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404010</catValu>
    <labl>Eastern Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404011</catValu>
    <labl>Southeastern Pastoral  Zone</labl>
  </catgry>
  <catgry>
    <catValu>404012</catValu>
    <labl>Coastal Medium Potential Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404013</catValu>
    <labl>Coastal Marginal Agricultural Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404014</catValu>
    <labl>Tana Riverine Zone</labl>
  </catgry>
  <catgry>
    <catValu>404015</catValu>
    <labl>Southern Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404016</catValu>
    <labl>Southeastern Marginal Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404017</catValu>
    <labl>Southeastern Medium Potential, Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404018</catValu>
    <labl>Southern Agropastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404019</catValu>
    <labl>Central Highlands, High Potential Zone</labl>
  </catgry>
  <catgry>
    <catValu>404020</catValu>
    <labl>Western Medium Potential Zone</labl>
  </catgry>
  <catgry>
    <catValu>404021</catValu>
    <labl>Western High Potential Zone</labl>
  </catgry>
  <catgry>
    <catValu>404022</catValu>
    <labl>Western Lakeshore Marginal Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404023</catValu>
    <labl>Lake Victoria Fishing Zone</labl>
  </catgry>
  <catgry>
    <catValu>404024</catValu>
    <labl>Western Agropastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>426001</catValu>
    <labl>Northern Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>426002</catValu>
    <labl>Southern Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>426003</catValu>
    <labl>Foothills</labl>
  </catgry>
  <catgry>
    <catValu>426004</catValu>
    <labl>Mountains</labl>
  </catgry>
  <catgry>
    <catValu>426005</catValu>
    <labl>Senqu River Valley</labl>
  </catgry>
  <catgry>
    <catValu>430001</catValu>
    <labl>North-East Rice Farming Palm Oil</labl>
  </catgry>
  <catgry>
    <catValu>430002</catValu>
    <labl>North/Central Rice with Cassava and Market Gardening</labl>
  </catgry>
  <catgry>
    <catValu>430003</catValu>
    <labl>South-East Rice with Cassava</labl>
  </catgry>
  <catgry>
    <catValu>430004</catValu>
    <labl>Coastal Plain Cassava with Rice and Inland Fishing</labl>
  </catgry>
  <catgry>
    <catValu>430005</catValu>
    <labl>Coastal Fishing and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>430006</catValu>
    <labl>Rice Intercropped and Forest Hunting</labl>
  </catgry>
  <catgry>
    <catValu>430007</catValu>
    <labl>Border Cacao and Coffee Farming</labl>
  </catgry>
  <catgry>
    <catValu>430008</catValu>
    <labl>Rubber and Charcoal with Food Crops</labl>
  </catgry>
  <catgry>
    <catValu>430009</catValu>
    <labl>Peri-Urban: Petty Trade, Market Gardening and Casual Employment</labl>
  </catgry>
  <catgry>
    <catValu>430010</catValu>
    <labl>Mining/Concession and Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>430098</catValu>
    <labl>National Parks</labl>
  </catgry>
  <catgry>
    <catValu>430099</catValu>
    <labl>Urban Areas</labl>
  </catgry>
  <catgry>
    <catValu>450001</catValu>
    <labl>Extreme north: sugar cane, fishing, tourism</labl>
  </catgry>
  <catgry>
    <catValu>450002</catValu>
    <labl>North: vanilla, clove, coconut tree</labl>
  </catgry>
  <catgry>
    <catValu>450003</catValu>
    <labl>Sofia River basin: tobacco, onion, fishing</labl>
  </catgry>
  <catgry>
    <catValu>450004</catValu>
    <labl>Northern highland: rice, zebu</labl>
  </catgry>
  <catgry>
    <catValu>450005</catValu>
    <labl>Betsiboka Delta: rice, fishing</labl>
  </catgry>
  <catgry>
    <catValu>450006</catValu>
    <labl>Upper Betsiboka: gold mining, rice, cows</labl>
  </catgry>
  <catgry>
    <catValu>450007</catValu>
    <labl>Aloatra: rice, fishing, livestock rearing</labl>
  </catgry>
  <catgry>
    <catValu>450008</catValu>
    <labl>Toamasina: cloves, coffee, trade</labl>
  </catgry>
  <catgry>
    <catValu>450009</catValu>
    <labl>West: rice, fishing, gathering</labl>
  </catgry>
  <catgry>
    <catValu>450010</catValu>
    <labl>Agropastoral midwest: rice, maize, pulses</labl>
  </catgry>
  <catgry>
    <catValu>450011</catValu>
    <labl>Central Iarivo: rice, market gardening, eucalyptus</labl>
  </catgry>
  <catgry>
    <catValu>450012</catValu>
    <labl>Moramanga: forest, petty trade, market gardening</labl>
  </catgry>
  <catgry>
    <catValu>450013</catValu>
    <labl>Center-east: litchi, coffee, citrus</labl>
  </catgry>
  <catgry>
    <catValu>450014</catValu>
    <labl>Ankaratra: staple crops, horticulture, milk</labl>
  </catgry>
  <catgry>
    <catValu>450015</catValu>
    <labl>Tsirobihina Delta: rice, fishing, pulses</labl>
  </catgry>
  <catgry>
    <catValu>450016</catValu>
    <labl>South-central peneplain: rice, onion, small livestock</labl>
  </catgry>
  <catgry>
    <catValu>450017</catValu>
    <labl>Southern highlands: staple crops, crafts, market gardening</labl>
  </catgry>
  <catgry>
    <catValu>450018</catValu>
    <labl>Corridor: forest products, banana</labl>
  </catgry>
  <catgry>
    <catValu>450019</catValu>
    <labl>Southeast: coffee, litchi, cassava</labl>
  </catgry>
  <catgry>
    <catValu>450020</catValu>
    <labl>Southwest: rice, lima bean</labl>
  </catgry>
  <catgry>
    <catValu>450021</catValu>
    <labl>Bara plateau: cows, cassava</labl>
  </catgry>
  <catgry>
    <catValu>450022</catValu>
    <labl>Center-south: staple crops, industrial sisal, zebu</labl>
  </catgry>
  <catgry>
    <catValu>450023</catValu>
    <labl>Mahafaly plateau: cassava</labl>
  </catgry>
  <catgry>
    <catValu>450024</catValu>
    <labl>Extreme south: cassava, maize, livestock rearing</labl>
  </catgry>
  <catgry>
    <catValu>454001</catValu>
    <labl>Central Karonga</labl>
  </catgry>
  <catgry>
    <catValu>454002</catValu>
    <labl>Chitipa Millet &amp; Maize</labl>
  </catgry>
  <catgry>
    <catValu>454003</catValu>
    <labl>Kasungu Lilongwe Plain</labl>
  </catgry>
  <catgry>
    <catValu>454004</catValu>
    <labl>Lake Chilwa - Phalombe Plain</labl>
  </catgry>
  <catgry>
    <catValu>454005</catValu>
    <labl>Lower Shire</labl>
  </catgry>
  <catgry>
    <catValu>454006</catValu>
    <labl>Middle Shire Valley</labl>
  </catgry>
  <catgry>
    <catValu>454007</catValu>
    <labl>Misuku Hills</labl>
  </catgry>
  <catgry>
    <catValu>454008</catValu>
    <labl>Mzimba Self Sufficient</labl>
  </catgry>
  <catgry>
    <catValu>454009</catValu>
    <labl>Nkhata Bay Cassava</labl>
  </catgry>
  <catgry>
    <catValu>454010</catValu>
    <labl>Northern Karonga</labl>
  </catgry>
  <catgry>
    <catValu>454011</catValu>
    <labl>Northern Lakeshore</labl>
  </catgry>
  <catgry>
    <catValu>454012</catValu>
    <labl>Phirilongwe Hills</labl>
  </catgry>
  <catgry>
    <catValu>454013</catValu>
    <labl>Rift Valley Escarpment</labl>
  </catgry>
  <catgry>
    <catValu>454014</catValu>
    <labl>Shire Highlands</labl>
  </catgry>
  <catgry>
    <catValu>454015</catValu>
    <labl>Southern Lakeshore</labl>
  </catgry>
  <catgry>
    <catValu>454016</catValu>
    <labl>Thyolo Mulunje Tea Estates</labl>
  </catgry>
  <catgry>
    <catValu>454017</catValu>
    <labl>Western Rumphi &amp; Mzimba</labl>
  </catgry>
  <catgry>
    <catValu>454018</catValu>
    <labl>Border Productive Horticulture</labl>
  </catgry>
  <catgry>
    <catValu>454019</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>454020</catValu>
    <labl>National Park</labl>
  </catgry>
  <catgry>
    <catValu>466001</catValu>
    <labl>Nomadism and Trans-Saharan Trade</labl>
  </catgry>
  <catgry>
    <catValu>466002</catValu>
    <labl>Northern Livestock</labl>
  </catgry>
  <catgry>
    <catValu>466003</catValu>
    <labl>Niger Loop Rice and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>466004</catValu>
    <labl>Central Livestock, Millet, and Remittances</labl>
  </catgry>
  <catgry>
    <catValu>466005</catValu>
    <labl>Dogon Plateau Millet and Shallots</labl>
  </catgry>
  <catgry>
    <catValu>466006</catValu>
    <labl>Niger Delta Rice, Cattle, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>466007</catValu>
    <labl>Office du NigerRice and Market Gardening</labl>
  </catgry>
  <catgry>
    <catValu>466008</catValu>
    <labl>Northwestern Sorghum, Remittances, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>466009</catValu>
    <labl>Central Sorghum and Millet</labl>
  </catgry>
  <catgry>
    <catValu>466010</catValu>
    <labl>Southeastern Sorghum, Millet, and Cotton</labl>
  </catgry>
  <catgry>
    <catValu>466011</catValu>
    <labl>Southern Maize, Cotton, and Fruits</labl>
  </catgry>
  <catgry>
    <catValu>466012</catValu>
    <labl>Southwestern Maize, Livestock, and Gold Mining</labl>
  </catgry>
  <catgry>
    <catValu>466013</catValu>
    <labl>Center-eastern Millet and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>466014</catValu>
    <labl>Lakes Recessional Millet and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>466015</catValu>
    <labl>Western Groundnut, Sorghum, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>466016</catValu>
    <labl>Southwestern Gold Mining and Maize</labl>
  </catgry>
  <catgry>
    <catValu>466017</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>478001</catValu>
    <labl>Nomadic pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>478002</catValu>
    <labl>Mine and pastoral</labl>
  </catgry>
  <catgry>
    <catValu>478003</catValu>
    <labl>Mixed pastoral, oases and wadis</labl>
  </catgry>
  <catgry>
    <catValu>478004</catValu>
    <labl>Littoral coastal fishing</labl>
  </catgry>
  <catgry>
    <catValu>478005</catValu>
    <labl>Pastoral and trade</labl>
  </catgry>
  <catgry>
    <catValu>478006</catValu>
    <labl>Transhumant pastoralism</labl>
  </catgry>
  <catgry>
    <catValu>478007</catValu>
    <labl>Agropastoralism</labl>
  </catgry>
  <catgry>
    <catValu>478008</catValu>
    <labl>Senegal valley agriculture</labl>
  </catgry>
  <catgry>
    <catValu>478009</catValu>
    <labl>Rainfed agriculture</labl>
  </catgry>
  <catgry>
    <catValu>508001</catValu>
    <labl>Lakeshore Basic Staples and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508002</catValu>
    <labl>Northern Highland Forest and Tourism</labl>
  </catgry>
  <catgry>
    <catValu>508003</catValu>
    <labl>Northwestern Tobacco and Maize</labl>
  </catgry>
  <catgry>
    <catValu>508004</catValu>
    <labl>Northern Cassava, Maize, and Forest</labl>
  </catgry>
  <catgry>
    <catValu>508005</catValu>
    <labl>Northern Highland with Mixed Cropping</labl>
  </catgry>
  <catgry>
    <catValu>508006</catValu>
    <labl>Northeastern Highland Forest</labl>
  </catgry>
  <catgry>
    <catValu>508007</catValu>
    <labl>Northeastern Cassava, Cashew, and Coconut</labl>
  </catgry>
  <catgry>
    <catValu>508008</catValu>
    <labl>North-Central Coastal Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508009</catValu>
    <labl>Plains with Cassava, Rice, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508010</catValu>
    <labl>Zambezi Valley with Maize and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508011</catValu>
    <labl>Northwestern Cropping and Cross-border Trade</labl>
  </catgry>
  <catgry>
    <catValu>508012</catValu>
    <labl>Coastal Sugarcane and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508013</catValu>
    <labl>Tete Highland Mixed Cropping, Tobbaco, and Cotton</labl>
  </catgry>
  <catgry>
    <catValu>508014</catValu>
    <labl>Cahora Bassa Dam Sesame and Cotton</labl>
  </catgry>
  <catgry>
    <catValu>508015</catValu>
    <labl>Central Semiarid Cotton and Minerals</labl>
  </catgry>
  <catgry>
    <catValu>508016</catValu>
    <labl>Manica Highland Mixed Cropping, Cotton, and Tobacco</labl>
  </catgry>
  <catgry>
    <catValu>508017</catValu>
    <labl>Central Manica and Sofala Mixed Cropping</labl>
  </catgry>
  <catgry>
    <catValu>508018</catValu>
    <labl>Cheringoma and Muanza Maize and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>508019</catValu>
    <labl>Central Semiarid Pineapple and Cashew</labl>
  </catgry>
  <catgry>
    <catValu>508020</catValu>
    <labl>Southern Coastal Cassava, Coconut, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508021</catValu>
    <labl>Southern Intermediate Mixed Cropping</labl>
  </catgry>
  <catgry>
    <catValu>508022</catValu>
    <labl>Southern Semiarid Cereals and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>508023</catValu>
    <labl>Southeastern Rice</labl>
  </catgry>
  <catgry>
    <catValu>508024</catValu>
    <labl>Limpopo and Elephant Rivers Mixed Cropping</labl>
  </catgry>
  <catgry>
    <catValu>508025</catValu>
    <labl>Southern Coastal Rishing, Manioc, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>508026</catValu>
    <labl>Southern Highland Cattle and Mixed Cropping</labl>
  </catgry>
  <catgry>
    <catValu>558000</catValu>
    <labl>Urban Area</labl>
  </catgry>
  <catgry>
    <catValu>558001</catValu>
    <labl>Pacific Coast Export Fishing, Aquaculture, Tourism and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>558002</catValu>
    <labl>Pacific Agro-Industrial and Transitional Agriculture Zone</labl>
  </catgry>
  <catgry>
    <catValu>558003</catValu>
    <labl>Northwest Subsistence Agriculture, Livestock and Alternate Income Activities Zone</labl>
  </catgry>
  <catgry>
    <catValu>558004</catValu>
    <labl>EstelÃ­ Traditional and Industrial Tobacco Zone</labl>
  </catgry>
  <catgry>
    <catValu>558005</catValu>
    <labl>Managua Peri-urban Free-Trade, Agro-industry and Services Zone</labl>
  </catgry>
  <catgry>
    <catValu>558006</catValu>
    <labl>East-Central Vegetables, Informal Trade, Industry and Tourism ZoneÂ</labl>
  </catgry>
  <catgry>
    <catValu>558007</catValu>
    <labl>Southern Pacific, Agriculture and High Migration Zone</labl>
  </catgry>
  <catgry>
    <catValu>558008</catValu>
    <labl>Central Cattle and Agricultural Frontier Zone</labl>
  </catgry>
  <catgry>
    <catValu>558009</catValu>
    <labl>Agriculture and Livestock with High Migration to Costa Rica Zone</labl>
  </catgry>
  <catgry>
    <catValu>558010</catValu>
    <labl>Caribbean Humid Tropical Agriculture Zone</labl>
  </catgry>
  <catgry>
    <catValu>558011</catValu>
    <labl>Northern Atlantic Agricultural Frontier and Mining Zone</labl>
  </catgry>
  <catgry>
    <catValu>558012</catValu>
    <labl>Coffee with Commercial Agriculture and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>558013</catValu>
    <labl>Northern Market-bound Basic Grains, Livestock and Coffee Zone</labl>
  </catgry>
  <catgry>
    <catValu>558014</catValu>
    <labl>Communal Forestry Zone</labl>
  </catgry>
  <catgry>
    <catValu>558015</catValu>
    <labl>Coco River Traditional Agriculture Zone</labl>
  </catgry>
  <catgry>
    <catValu>558016</catValu>
    <labl>Caribbean Coast Traditional Fishing Zone</labl>
  </catgry>
  <catgry>
    <catValu>558025</catValu>
    <labl>National Forest Reserve</labl>
  </catgry>
  <catgry>
    <catValu>562000</catValu>
    <labl>Not Zoned (Desert)</labl>
  </catgry>
  <catgry>
    <catValu>562001</catValu>
    <labl>North-east Oases: Dates, Salt and Trade</labl>
  </catgry>
  <catgry>
    <catValu>562002</catValu>
    <labl>AÃ¯r Massif Irrigated Gardening</labl>
  </catgry>
  <catgry>
    <catValu>562003</catValu>
    <labl>Transhumant and Nomad Pastoralism</labl>
  </catgry>
  <catgry>
    <catValu>562004</catValu>
    <labl>Agropastoral Belt</labl>
  </catgry>
  <catgry>
    <catValu>562005</catValu>
    <labl>Rainfed Millet and Sorghum Belt</labl>
  </catgry>
  <catgry>
    <catValu>562006</catValu>
    <labl>Cropping and Herding with High Work Outmigration</labl>
  </catgry>
  <catgry>
    <catValu>562007</catValu>
    <labl>Southern Irrigated Cash Crops</labl>
  </catgry>
  <catgry>
    <catValu>562008</catValu>
    <labl>Southwestern Cereals with Fan-Palm Products</labl>
  </catgry>
  <catgry>
    <catValu>562009</catValu>
    <labl>Niger River Irrigated Rice</labl>
  </catgry>
  <catgry>
    <catValu>562010</catValu>
    <labl>Dallols - Seasonal Water-Course Irrigated Crops</labl>
  </catgry>
  <catgry>
    <catValu>562011</catValu>
    <labl>Southeastern Natron Salt and Small Basin Irrigated Dates</labl>
  </catgry>
  <catgry>
    <catValu>562012</catValu>
    <labl>Komadougou Irrigated Peppers</labl>
  </catgry>
  <catgry>
    <catValu>562013</catValu>
    <labl>Lake Chad Flood-Retreat Cultivation with Fishing</labl>
  </catgry>
  <catgry>
    <catValu>562014</catValu>
    <labl>Transhumant and Nomad Pastoralism-Camels</labl>
  </catgry>
  <catgry>
    <catValu>566001</catValu>
    <labl>Coastal Fishing</labl>
  </catgry>
  <catgry>
    <catValu>566002</catValu>
    <labl>Southern Cocoa, Palm Oil, and Kola nut</labl>
  </catgry>
  <catgry>
    <catValu>566003</catValu>
    <labl>South-Central Yam, Cassava, and Banana</labl>
  </catgry>
  <catgry>
    <catValu>566004</catValu>
    <labl>Southeast Rice, Salt, and Granite</labl>
  </catgry>
  <catgry>
    <catValu>566005</catValu>
    <labl>Niger and Benue River Floodplain Rice and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>566006</catValu>
    <labl>Central Plain Yam and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>566007</catValu>
    <labl>Mambilla Plateau Cattle, Cocoa, and Tea</labl>
  </catgry>
  <catgry>
    <catValu>566008</catValu>
    <labl>Central Highland Maize and Soybean</labl>
  </catgry>
  <catgry>
    <catValu>566009</catValu>
    <labl>Northeastern Highland Maize, Cocoyam, Potatoes, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>566010</catValu>
    <labl>North-Central Maize, Sorghum, and Cotton</labl>
  </catgry>
  <catgry>
    <catValu>566011</catValu>
    <labl>Northern Floodplains Irrigated Rice, Wheat, and Vegetables</labl>
  </catgry>
  <catgry>
    <catValu>566012</catValu>
    <labl>Northeast Millet, Cowpea, and Sesame</labl>
  </catgry>
  <catgry>
    <catValu>566013</catValu>
    <labl>Sahel Mixed Cereals and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>686000</catValu>
    <labl>Urban Area - Dakar</labl>
  </catgry>
  <catgry>
    <catValu>686001</catValu>
    <labl>The Niayes Gardening and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>686002</catValu>
    <labl>Delta Rice, Horticulture, and Agricultural Labor</labl>
  </catgry>
  <catgry>
    <catValu>686003</catValu>
    <labl>Valley Rice and Remittances</labl>
  </catgry>
  <catgry>
    <catValu>686004</catValu>
    <labl>Dieri Millet and Remittances</labl>
  </catgry>
  <catgry>
    <catValu>686005</catValu>
    <labl>Rainfed Cowpea and Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>686006</catValu>
    <labl>Sylvopatoral Livestock and Gathering</labl>
  </catgry>
  <catgry>
    <catValu>686007</catValu>
    <labl>Small Coast Fishing and Tourism</labl>
  </catgry>
  <catgry>
    <catValu>686008</catValu>
    <labl>Rainfed Groundnut and Millet</labl>
  </catgry>
  <catgry>
    <catValu>686009</catValu>
    <labl>Agropastoral Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>686010</catValu>
    <labl>Rainfed Groundnut and Cereals</labl>
  </catgry>
  <catgry>
    <catValu>686011</catValu>
    <labl>Forest and Rainfed Rice</labl>
  </catgry>
  <catgry>
    <catValu>686012</catValu>
    <labl>Forest, Rainfed Rice, and Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>686013</catValu>
    <labl>Rainfed Maize, Cotton, and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>686014</catValu>
    <labl>Rainfed Maize and Lumber</labl>
  </catgry>
  <catgry>
    <catValu>686015</catValu>
    <labl>Rainfed Maize and Artisanal Gold Mining</labl>
  </catgry>
  <catgry>
    <catValu>686016</catValu>
    <labl>National Park</labl>
  </catgry>
  <catgry>
    <catValu>694000</catValu>
    <labl>Urban Area - Not Zoned</labl>
  </catgry>
  <catgry>
    <catValu>694001</catValu>
    <labl>Tonkolli Food Crops, Gold and Iron Ore</labl>
  </catgry>
  <catgry>
    <catValu>694002</catValu>
    <labl>Bombali Food Crops, Peppers, Tobacco and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>694003</catValu>
    <labl>Western Rice, Root Crops, Cereals and Trade Belt</labl>
  </catgry>
  <catgry>
    <catValu>694004</catValu>
    <labl>Coastal Food Crops and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>694005</catValu>
    <labl>Kailahun-Kenema-Pujehun Cash Crops, Food Crops and Trade</labl>
  </catgry>
  <catgry>
    <catValu>694006</catValu>
    <labl>Kono-Kenema-Bo Rice, Tree Crops and Timbers</labl>
  </catgry>
  <catgry>
    <catValu>694007</catValu>
    <labl>Koinadugu Food Crops, Livestock and Trade</labl>
  </catgry>
  <catgry>
    <catValu>694008</catValu>
    <labl>Follosoba Dembellia and Wara Wara Yagala Vegetables</labl>
  </catgry>
  <catgry>
    <catValu>694009</catValu>
    <labl>Freetown Peri-Urban</labl>
  </catgry>
  <catgry>
    <catValu>694010</catValu>
    <labl>Rice Bowl Areas</labl>
  </catgry>
  <catgry>
    <catValu>706001</catValu>
    <labl>Guban Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>706002</catValu>
    <labl>West Golis Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>706003</catValu>
    <labl>Northwestern Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>706004</catValu>
    <labl>Togdheer Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>706005</catValu>
    <labl>Hawd Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>706006</catValu>
    <labl>Northern Inland Pastoral â€“ Goats and Sheep</labl>
  </catgry>
  <catgry>
    <catValu>706007</catValu>
    <labl>East Golis â€“ Frankincense, Goats, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>706008</catValu>
    <labl>Coastal Deeh Pastoral and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>706009</catValu>
    <labl>Addun Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>706010</catValu>
    <labl>Cowpea Belt Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>706011</catValu>
    <labl>Southern Inland Pastoral â€“ Camels, Goats, Sheep, and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>706012</catValu>
    <labl>Southern Agropastoral â€“ Goats, Camels, and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>706013</catValu>
    <labl>Riverine Pump Irrigation</labl>
  </catgry>
  <catgry>
    <catValu>706014</catValu>
    <labl>Riverine Gravity Irrigation</labl>
  </catgry>
  <catgry>
    <catValu>706015</catValu>
    <labl>Sorghum High Potential Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>706016</catValu>
    <labl>Bay Bakool Low Potential Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>706017</catValu>
    <labl>Southern Rainfed Agropastoral â€“ Maize, Cattle, and Goats</labl>
  </catgry>
  <catgry>
    <catValu>706018</catValu>
    <labl>Juba Pastoral â€“  Cattle and Goats</labl>
  </catgry>
  <catgry>
    <catValu>706019</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>716000</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>716001</catValu>
    <labl>Agrofisheries</labl>
  </catgry>
  <catgry>
    <catValu>716002</catValu>
    <labl>Beitbridge South Western Lowveld Communal</labl>
  </catgry>
  <catgry>
    <catValu>716003</catValu>
    <labl>Bikita-Zaka Highlands Communal</labl>
  </catgry>
  <catgry>
    <catValu>716004</catValu>
    <labl>Central and Northern Semi Intensive Farming</labl>
  </catgry>
  <catgry>
    <catValu>716005</catValu>
    <labl>Cereal and High Cotton Communal</labl>
  </catgry>
  <catgry>
    <catValu>716006</catValu>
    <labl>Cereal and Low Cotton Communal</labl>
  </catgry>
  <catgry>
    <catValu>716007</catValu>
    <labl>Eastern Highlands Commercial Farming</labl>
  </catgry>
  <catgry>
    <catValu>716008</catValu>
    <labl>Eastern Highlands Prime Communal</labl>
  </catgry>
  <catgry>
    <catValu>716009</catValu>
    <labl>Eastern Kalahari Sandveld Communal</labl>
  </catgry>
  <catgry>
    <catValu>716010</catValu>
    <labl>Greater Mudzi Communal</labl>
  </catgry>
  <catgry>
    <catValu>716011</catValu>
    <labl>Highveld Prime Cereal and Cash Crop Resettlement</labl>
  </catgry>
  <catgry>
    <catValu>716012</catValu>
    <labl>Highveld Prime Communal</labl>
  </catgry>
  <catgry>
    <catValu>716013</catValu>
    <labl>Irrigated Commercial Sugar and Fruit Farming</labl>
  </catgry>
  <catgry>
    <catValu>716014</catValu>
    <labl>Kariba Valley and Kariangwe-Jambezi Communal</labl>
  </catgry>
  <catgry>
    <catValu>716015</catValu>
    <labl>Livestock and Cereal  Farming Communal in Forests</labl>
  </catgry>
  <catgry>
    <catValu>716016</catValu>
    <labl>Lusulu, Lupane and Southern Gokwe Mixed Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>716017</catValu>
    <labl>Masvingo Manicaland Middleveld Smallholder</labl>
  </catgry>
  <catgry>
    <catValu>716018</catValu>
    <labl>Matabeleland Middleveld Communal</labl>
  </catgry>
  <catgry>
    <catValu>716019</catValu>
    <labl>Mutorashanga Informal mining</labl>
  </catgry>
  <catgry>
    <catValu>716020</catValu>
    <labl>Mwenezi, Chivi and South Midland Communal</labl>
  </catgry>
  <catgry>
    <catValu>716021</catValu>
    <labl>Northern Cattle and Cereal Farming</labl>
  </catgry>
  <catgry>
    <catValu>716022</catValu>
    <labl>Northern Zambezi Valley Communal</labl>
  </catgry>
  <catgry>
    <catValu>716023</catValu>
    <labl>Save River Valley and Ndowoyo Communal</labl>
  </catgry>
  <catgry>
    <catValu>716024</catValu>
    <labl>Southern Cattle and Cereal Farming</labl>
  </catgry>
  <catgry>
    <catValu>716025</catValu>
    <labl>Western Kalahari Sandveld Communal</labl>
  </catgry>
  <catgry>
    <catValu>716026</catValu>
    <labl>National Park</labl>
  </catgry>
  <catgry>
    <catValu>728001</catValu>
    <labl>Equatorial maize and cassava</labl>
  </catgry>
  <catgry>
    <catValu>728002</catValu>
    <labl>Ironstone Plateau agro-pastoral</labl>
  </catgry>
  <catgry>
    <catValu>728003</catValu>
    <labl>Highland forest and sorghum</labl>
  </catgry>
  <catgry>
    <catValu>728004</catValu>
    <labl>Western groundnuts, sesame and sorghum</labl>
  </catgry>
  <catgry>
    <catValu>728005</catValu>
    <labl>Eastern semi-arid pastoral</labl>
  </catgry>
  <catgry>
    <catValu>728006</catValu>
    <labl>Eastern plains sorghum and cattle</labl>
  </catgry>
  <catgry>
    <catValu>728007</catValu>
    <labl>Greater Bahr el Ghazal sorghum and cattle</labl>
  </catgry>
  <catgry>
    <catValu>728008</catValu>
    <labl>Nile basin fishing and agro-pastoral</labl>
  </catgry>
  <catgry>
    <catValu>728009</catValu>
    <labl>Oil resources, maize and cattle</labl>
  </catgry>
  <catgry>
    <catValu>728010</catValu>
    <labl>Northeastern maize and cattle</labl>
  </catgry>
  <catgry>
    <catValu>728011</catValu>
    <labl>Northern sorhgum and livestock</labl>
  </catgry>
  <catgry>
    <catValu>729000</catValu>
    <labl>Not Zoned</labl>
  </catgry>
  <catgry>
    <catValu>729001</catValu>
    <labl>Northern Riverine Small-scale Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>729002</catValu>
    <labl>Southern Riverine Small/Medium-scale Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>729003</catValu>
    <labl>Eastern Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>729004</catValu>
    <labl>West and Central Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>729005</catValu>
    <labl>Eastern Khors Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>729006</catValu>
    <labl>Coastal Fishing</labl>
  </catgry>
  <catgry>
    <catValu>729007</catValu>
    <labl>Eastern Agropastoral Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>729008</catValu>
    <labl>Flood-retreat Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>729009</catValu>
    <labl>Central Irrigated Schemes</labl>
  </catgry>
  <catgry>
    <catValu>729010</catValu>
    <labl>Southeast Rainfed Semi-mechanized Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>729011</catValu>
    <labl>Rainfed Sorghum Belt</labl>
  </catgry>
  <catgry>
    <catValu>729012</catValu>
    <labl>Western Agropastoral Millet and Groundnuts</labl>
  </catgry>
  <catgry>
    <catValu>729013</catValu>
    <labl>Western Agropastoral Millet</labl>
  </catgry>
  <catgry>
    <catValu>729014</catValu>
    <labl>Central Rainfed Millet and Sesame</labl>
  </catgry>
  <catgry>
    <catValu>729015</catValu>
    <labl>Jabel Marra Mixed Highland Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>729016</catValu>
    <labl>Western Wadi Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>729017</catValu>
    <labl>North Darfur Tobacco</labl>
  </catgry>
  <catgry>
    <catValu>729018</catValu>
    <labl>North Kordofan Gum Arabic Belt</labl>
  </catgry>
  <catgry>
    <catValu>729019</catValu>
    <labl>Cattle Dominant Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>800001</catValu>
    <labl>North Eastern Karamoja Highland Apiculture and Potato Zone</labl>
  </catgry>
  <catgry>
    <catValu>800002</catValu>
    <labl>Western Karamoja Mixed Crop Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>800003</catValu>
    <labl>South Eastern Karamoja Cattle Maize Zone</labl>
  </catgry>
  <catgry>
    <catValu>800004</catValu>
    <labl>Karamoja Mountain and Foot Hills Maize and Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800005</catValu>
    <labl>Central Karamoja Sorghum and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>800006</catValu>
    <labl>NE Sorghum Simsim Maize Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>800007</catValu>
    <labl>North Kitgum Gulu Amuru West Nile Simsim Sorghum Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>800008</catValu>
    <labl>Palabek Tobacco Simsim Sorghum and Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800009</catValu>
    <labl>South Kitgum Pader Abim Simsim Groundnuts Sorghum Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800010</catValu>
    <labl>Albertine West Nile Lowland Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800011</catValu>
    <labl>Kafu Muzizi Maize Upland Rice Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800012</catValu>
    <labl>Albertine Escarpment Cotton Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800013</catValu>
    <labl>Bwijanga Pakanyi SugarcaNE Maize Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800014</catValu>
    <labl>Karuma Masindi Oyam Tobacco Maize Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800015</catValu>
    <labl>West Nile Tobacco Cassava Sorghum Zone</labl>
  </catgry>
  <catgry>
    <catValu>800016</catValu>
    <labl>Rwenzori Mt.Elgon West Nile Arabica Coffee Banana Zone</labl>
  </catgry>
  <catgry>
    <catValu>800017</catValu>
    <labl>Amuru Gulu Rice Groundnut Sorghum Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>800018</catValu>
    <labl>Southwest Gulu Beans Groundnuts Shoat Cassava</labl>
  </catgry>
  <catgry>
    <catValu>800019</catValu>
    <labl>Mid North Simsim Maize Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800020</catValu>
    <labl>Eastern Lowland Maize Beans Rice Zone</labl>
  </catgry>
  <catgry>
    <catValu>800021</catValu>
    <labl>Eastern Central Lowland Cassava Sorghum and Groundnut Zone</labl>
  </catgry>
  <catgry>
    <catValu>800022</catValu>
    <labl>Mt Elgon Highland Irish Potato Cereal Zone</labl>
  </catgry>
  <catgry>
    <catValu>800023</catValu>
    <labl>Central and Southern Cattle Cassava Maize Zone</labl>
  </catgry>
  <catgry>
    <catValu>800024</catValu>
    <labl>Lakeshore and Riverbank Fishing Zone</labl>
  </catgry>
  <catgry>
    <catValu>800025</catValu>
    <labl>Southeastern Maize Beans Robusta Coffee Zone</labl>
  </catgry>
  <catgry>
    <catValu>800026</catValu>
    <labl>Midwest Central and Lake Victoria Crescent Robusta Coffee Banana Maize and Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800027</catValu>
    <labl>Rwenzori Midland Banana Fruit Vegetable Dairy Zone</labl>
  </catgry>
  <catgry>
    <catValu>800028</catValu>
    <labl>Kazinga Channel Cassava Maize Fruit Vegetable Cotton Zone</labl>
  </catgry>
  <catgry>
    <catValu>800029</catValu>
    <labl>Rwenzori Lowland Maize Vegetable Banana Zone</labl>
  </catgry>
  <catgry>
    <catValu>800030</catValu>
    <labl>Southeastern Lowland Cassava Cereal Zone</labl>
  </catgry>
  <catgry>
    <catValu>800031</catValu>
    <labl>Eastern Lowland Rice Root Crop Zone</labl>
  </catgry>
  <catgry>
    <catValu>800032</catValu>
    <labl>Southeastern Lowland Cassava Maize Sweet Potato Zone</labl>
  </catgry>
  <catgry>
    <catValu>800033</catValu>
    <labl>East Central Plantation Outgrower Zone</labl>
  </catgry>
  <catgry>
    <catValu>800034</catValu>
    <labl>Kayunga Masaka Pineapple Banana Robusta Coffee and Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800035</catValu>
    <labl>SW Highland Irish Potato Sorghum Vegetable Zone</labl>
  </catgry>
  <catgry>
    <catValu>800036</catValu>
    <labl>Kalangala Fishing Oil Palm Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800037</catValu>
    <labl>Western Rift Valley Cocoa Coffee Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800038</catValu>
    <labl>Rwenzori Midland Tea and Dairy Zone</labl>
  </catgry>
  <catgry>
    <catValu>800039</catValu>
    <labl>Southwestern Midland Banana Robusta Coffee Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800040</catValu>
    <labl>SW Rift Valley Tobacco Bean Millet Zone</labl>
  </catgry>
  <catgry>
    <catValu>800041</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>800042</catValu>
    <labl>National Park</labl>
  </catgry>
  <catgry>
    <catValu>834001</catValu>
    <labl>Southern Maasai Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>834002</catValu>
    <labl>River Pangani Paddy and Maize Basin</labl>
  </catgry>
  <catgry>
    <catValu>834003</catValu>
    <labl>Tanga Maize and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>834004</catValu>
    <labl>Tanga Maize and Sisal Employment</labl>
  </catgry>
  <catgry>
    <catValu>834005</catValu>
    <labl>Usambara-Pare Highland</labl>
  </catgry>
  <catgry>
    <catValu>834006</catValu>
    <labl>Tanga Maize, Orange, and Jackfruit Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834007</catValu>
    <labl>Tanga-Pwani Coastal Maize, Paddy Belt</labl>
  </catgry>
  <catgry>
    <catValu>834008</catValu>
    <labl>Handeni-Bagamoyo Maize, Cassava, and Fruit Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834009</catValu>
    <labl>Loliondo Midland Maize, Beans, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834010</catValu>
    <labl>Lower Rombo Maize, Beans, and Finger Millet</labl>
  </catgry>
  <catgry>
    <catValu>834011</catValu>
    <labl>Kilimanjaro-Meru Maize, Coffee, and Plantains</labl>
  </catgry>
  <catgry>
    <catValu>834012</catValu>
    <labl>Karatu Wheat, Maize, and Coffee</labl>
  </catgry>
  <catgry>
    <catValu>834013</catValu>
    <labl>Lower Arusha-Simanjiro Maize</labl>
  </catgry>
  <catgry>
    <catValu>834014</catValu>
    <labl>Northern Maasai Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>834015</catValu>
    <labl>Nowu Maize, Beans, and Onions Highlands</labl>
  </catgry>
  <catgry>
    <catValu>834016</catValu>
    <labl>Babati Kwaraa Maize, Beans, Sunflower, and Coffee</labl>
  </catgry>
  <catgry>
    <catValu>834017</catValu>
    <labl>Kiteto-Kongwa-Mpwapwa-Mvomero Maize, Sorghum, and Pigeon Pea</labl>
  </catgry>
  <catgry>
    <catValu>834018</catValu>
    <labl>Mbulu-Karatu Midlands Maize, Beans, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834019</catValu>
    <labl>Hadzabe Hunter-Gatherer Wild Honey, Wild Roots, and Wild Fruit</labl>
  </catgry>
  <catgry>
    <catValu>834020</catValu>
    <labl>Wembere Paddy, Sorghum, Maize, Sunflower, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>834021</catValu>
    <labl>Bahi-Sanza Irrigated Rice, Maize, Bulrush Millet, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834022</catValu>
    <labl>Iramba Midland Onion, Maize, and Sunflower</labl>
  </catgry>
  <catgry>
    <catValu>834023</catValu>
    <labl>Manyoni Upland Maize, Sunflower, Sesame, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834024</catValu>
    <labl>Tabora-Singida Midland Maize, Sunflower, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834025</catValu>
    <labl>Singida-Manyara Maize, Sorghum, Beans, and Sunflower</labl>
  </catgry>
  <catgry>
    <catValu>834026</catValu>
    <labl>East and South Lakeshore Fishing, Cassava, and Upland Rice</labl>
  </catgry>
  <catgry>
    <catValu>834027</catValu>
    <labl>Western Lakeshore Coffee, Fishing, and Banana</labl>
  </catgry>
  <catgry>
    <catValu>834028</catValu>
    <labl>Kagera-Kigoma-Mara Banana, Coffee, and Beans</labl>
  </catgry>
  <catgry>
    <catValu>834029</catValu>
    <labl>Mwanza-Shinyanga-Mara Cotton, Livestock, Cassava, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834030</catValu>
    <labl>Kagera Lowlands Beans, Maize, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834031</catValu>
    <labl>Shinyanga-Tabora Cotton, Upland Rice, Sweet Potato, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834032</catValu>
    <labl>Sengerema-Geita Highland Cassava, Rice, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834033</catValu>
    <labl>Kagera-Kigoma Beans, Cassava, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834034</catValu>
    <labl>Kahama-Tabora Midland Tobacco, Maize, Rice, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834035</catValu>
    <labl>Kishapu-Meatu-Maswa Sorghum, Cotton, Sweet Potato, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834036</catValu>
    <labl>Urambo-Nzega Lowland Groundnuts, Cotton, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834037</catValu>
    <labl>Kigoma Lowland Palm Oil, Cassava, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834038</catValu>
    <labl>Urambo Agropastoral Maize and Sweet Potato</labl>
  </catgry>
  <catgry>
    <catValu>834039</catValu>
    <labl>Victoria Islands Fishing, Cassava, Sweet Potato, and Paddy</labl>
  </catgry>
  <catgry>
    <catValu>834040</catValu>
    <labl>Ruaha Riverine Maize, Onion, Tomato, and Paddy Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834041</catValu>
    <labl>Chalinze-Tunuguo Maize, Cattle, and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>834042</catValu>
    <labl>Kilombero-Mtibwa Paddy, Maize, and Sugar Employment</labl>
  </catgry>
  <catgry>
    <catValu>834043</catValu>
    <labl>Kilombero-Ulanga-Lusewa Paddy, Maize, and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>834044</catValu>
    <labl>Kilosa-Mvomero Maize and Paddy Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834045</catValu>
    <labl>Matombo-Kuyuni Spice, Maize, and Banana</labl>
  </catgry>
  <catgry>
    <catValu>834046</catValu>
    <labl>Bagamoyo-Kibaha Midland Cassava, Cashew, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834047</catValu>
    <labl>Morogoro Highland Maize and Vegetable</labl>
  </catgry>
  <catgry>
    <catValu>834048</catValu>
    <labl>Maskat-Kimbet Maize and Beans Highlands</labl>
  </catgry>
  <catgry>
    <catValu>834049</catValu>
    <labl>Newala-Masasi Plateau Sesame, Cassava, Cashew, and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>834050</catValu>
    <labl>Mtwara-Lindi Coastal Rice and Cashew</labl>
  </catgry>
  <catgry>
    <catValu>834051</catValu>
    <labl>Matumbi Midland Upland Rice, Oranges, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834052</catValu>
    <labl>Lindi-Nachingwea Lowland Cassava and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834053</catValu>
    <labl>Southeastern Plateau Cassava, Cashew, and Bambara Nuts</labl>
  </catgry>
  <catgry>
    <catValu>834054</catValu>
    <labl>Mtwara-Lindi-Pwani Riverine</labl>
  </catgry>
  <catgry>
    <catValu>834055</catValu>
    <labl>Singida-Dodoma Sorghum, B/Millet, Sunflower, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834056</catValu>
    <labl>Dodoma Lowland Sunflower, Grape, and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>834057</catValu>
    <labl>Mpanda Maize, Paddy, Sunflower, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834058</catValu>
    <labl>Lake Tanganyika-Rukwa Fishing, Maize, and Sunflower</labl>
  </catgry>
  <catgry>
    <catValu>834059</catValu>
    <labl>Kyela Paddy, Cacao, and Palm Oil Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834060</catValu>
    <labl>Rungwe Banana, Coffee, Tea, and Livestock Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834061</catValu>
    <labl>Mporoto-Umalila Irish Potato, Maize, Wheat, and Pyrethrum Highlands</labl>
  </catgry>
  <catgry>
    <catValu>834062</catValu>
    <labl>Mbozi-Mbeya Coffee, Maize, Beans, and Livestock Highlands</labl>
  </catgry>
  <catgry>
    <catValu>834063</catValu>
    <labl>Usangu Paddy, Maize, Sorghum, and Livestock Wetlands</labl>
  </catgry>
  <catgry>
    <catValu>834064</catValu>
    <labl>Kamsamba Paddy, Sorghum, and Livestock Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834065</catValu>
    <labl>Chunya Maize, Sunflower, Cassava, and Groundnut Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834066</catValu>
    <labl>West Chunya Maize, Bulrush Millet, and Sesame Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834067</catValu>
    <labl>Lake Nyasa Shore Cassava Fishing and Paddy</labl>
  </catgry>
  <catgry>
    <catValu>834068</catValu>
    <labl>Namtumbo Tobacco, Maize, Paddy, and Cassava Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834069</catValu>
    <labl>Matengo Coffee, Maize, Beans, and Piggery Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834070</catValu>
    <labl>Songea-Namtumbo-Ludewa-Mibinga Maize, Beans, and Cassava Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834071</catValu>
    <labl>Njombe-Mufindi Maize, Timber, Tea, Pyrethrum, and Employment</labl>
  </catgry>
  <catgry>
    <catValu>834072</catValu>
    <labl>Mtera Dam Fishing, Sorghum, and Sesame</labl>
  </catgry>
  <catgry>
    <catValu>834073</catValu>
    <labl>Makete Wheat, Irish Potato, Timber, and Employment Highlands</labl>
  </catgry>
  <catgry>
    <catValu>834074</catValu>
    <labl>Njombe-Mufindi Maize, Irish Potato, and Bean</labl>
  </catgry>
  <catgry>
    <catValu>834075</catValu>
    <labl>Iringa-Mbarali Maize, Sunflower, Beans, and Groundnut Belt</labl>
  </catgry>
  <catgry>
    <catValu>834076</catValu>
    <labl>Tunduru-Nachingwea-Nanyumbu Cashew, Cassava, and Paddy Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834077</catValu>
    <labl>Mpanda-Chunya-Sikonge Maize and Tobacco Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834078</catValu>
    <labl>Sumbawanga-Mbozi-Mpanda Maize, Sunflower, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834098</catValu>
    <labl>Water</labl>
  </catgry>
  <catgry>
    <catValu>834099</catValu>
    <labl>Not Zoned</labl>
  </catgry>
  <catgry>
    <catValu>854001</catValu>
    <labl>South tubers and cereals</labl>
  </catgry>
  <catgry>
    <catValu>854002</catValu>
    <labl>Southwest fruits, cotton, and cereals</labl>
  </catgry>
  <catgry>
    <catValu>854003</catValu>
    <labl>West cotton and cereals</labl>
  </catgry>
  <catgry>
    <catValu>854004</catValu>
    <labl>West cereals and remittances</labl>
  </catgry>
  <catgry>
    <catValu>854005</catValu>
    <labl>Central plateau cereals and market gardening</labl>
  </catgry>
  <catgry>
    <catValu>854006</catValu>
    <labl>Ouagadougou peri-urban</labl>
  </catgry>
  <catgry>
    <catValu>854007</catValu>
    <labl>North and east livestock and cereals</labl>
  </catgry>
  <catgry>
    <catValu>854008</catValu>
    <labl>North transhumant pastoralism and millet</labl>
  </catgry>
  <catgry>
    <catValu>854009</catValu>
    <labl>Southeast cereals, livestock, forestry and faune</labl>
  </catgry>
  <catgry>
    <catValu>887001</catValu>
    <labl>Amran Rainfed Sorghum, Barley, Qat, and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887002</catValu>
    <labl>Arabian Sea Coastal Irrigated Tropical Fruit, Fodder and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887003</catValu>
    <labl>Central and Eastern Plateau Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>887004</catValu>
    <labl>Central and Eastern Wadi Palm, Wheat, Vegetable and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887005</catValu>
    <labl>Central Highland Potato, Vegetable and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887006</catValu>
    <labl>Eastern Plateau Sorghum, Millet and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887007</catValu>
    <labl>Greater Yemen Coastal and Island Fishing Zone</labl>
  </catgry>
  <catgry>
    <catValu>887008</catValu>
    <labl>Northern and Eastern Desert Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>887009</catValu>
    <labl>Sa'adah Irrigated Wheat, Fruit, Vegetable, Qat, and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887010</catValu>
    <labl>Western and Central Highland Qat, Grain, Fodder and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887011</catValu>
    <labl>Western and Central Wadi Sorghum, Millet, Vegetable, Fruit and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887012</catValu>
    <labl>Western Central Highland Coffee, Qat, Sorghum and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887013</catValu>
    <labl>Western Central Highland Wheat, Sorghum, Qat, and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887014</catValu>
    <labl>Western Coastal Plain Sorghum, Millet, and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887015</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>894001</catValu>
    <labl>Zambezi Plain Rice, Livestock, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>894002</catValu>
    <labl>Southwestern Cereal, Livestock, and Timber</labl>
  </catgry>
  <catgry>
    <catValu>894003</catValu>
    <labl>Western and Northwestern Cassava, Maize, and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>894004</catValu>
    <labl>Kaoma Smallholder Food Crop and Tobacco</labl>
  </catgry>
  <catgry>
    <catValu>894005</catValu>
    <labl>Northwestern Timber and Honey</labl>
  </catgry>
  <catgry>
    <catValu>894006</catValu>
    <labl>Solwezi and Kasempa Mining Labor and Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>894007</catValu>
    <labl>Kafue Plain Maize, Cattle, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>894008</catValu>
    <labl>Commercial Rail Line Maize, Livestock, and Cotton</labl>
  </catgry>
  <catgry>
    <catValu>894009</catValu>
    <labl>Southern Plateau Cattle, Maize, and Tobacco</labl>
  </catgry>
  <catgry>
    <catValu>894010</catValu>
    <labl>Zambezi Valley Agro-fisheries</labl>
  </catgry>
  <catgry>
    <catValu>894011</catValu>
    <labl>Mkushi, Chisamba, and Mpongwe Commercial Farming Block</labl>
  </catgry>
  <catgry>
    <catValu>894012</catValu>
    <labl>Central Copperbelt Maize, Cassava, and Sweet Potato</labl>
  </catgry>
  <catgry>
    <catValu>894013</catValu>
    <labl>Copperbelt Labor and Trade</labl>
  </catgry>
  <catgry>
    <catValu>894014</catValu>
    <labl>Mkushi and Serenje Maize, Sweet Potato, and Horticulture</labl>
  </catgry>
  <catgry>
    <catValu>894015</catValu>
    <labl>Luangwa Valley Informal Mining, Fishing, and Hunting</labl>
  </catgry>
  <catgry>
    <catValu>894016</catValu>
    <labl>Eastern Plateau Maize, Cotton, and Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>894017</catValu>
    <labl>Eastern Plateau Maize, Groundnut, Tobacco, and Trade</labl>
  </catgry>
  <catgry>
    <catValu>894018</catValu>
    <labl>Luangwa Valley Subsistence Farming, Hunting, and Tourism</labl>
  </catgry>
  <catgry>
    <catValu>894019</catValu>
    <labl>Northern Border Maize, Beans, Livestock, and Trade</labl>
  </catgry>
  <catgry>
    <catValu>894020</catValu>
    <labl>Muchinga, Northern, and Luapula Cassava, Groundnut, and Mill</labl>
  </catgry>
  <catgry>
    <catValu>894021</catValu>
    <labl>Mweru, Bangweulu, and Tanganyika Fisheries</labl>
  </catgry>
  <txt>LIVELIHOOD reports the predominant livelihood zone within a 5-kilometer circular buffer around each DHS cluster location. Livelihood zones can be used as an indicator for sources of food and/or income and as a measure of people's vulnerability to hazards, such as flood, drought, food crisis, market disruption, or conflicts. 

Information on livelihood zones are available for selected countries of Africa, Afghanistan, El Salvador, Haiti, Honduras, and Nicaragua. Livelihood zones are country-specific; therefore, codes and labels for LIVELIHOOD vary across countries. 

The original LIVELIHOOD zone codes from the Famine Early Warning Systems Network (FEWS NET [URL omitted from DDI.]) begin with the 2-character alphabetic ISO code followed by the livelihood zone code. In place of the 2-character alphabetic ISO code used in the source data, IPUMS-DHS substitutes the 3-digit ISO country code (e.g., 231 for Ethiopia), followed by the 3-digit numeric livelihood zone code (e.g., 177 for West Central Teff).

LIVELIHOOD, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_CROPLAND" name="M_CROPLAND" files="M" intrvl="discrete">
  <labl>Proportion of land area used for agriculture (circa 2000)</labl>
  <imputation>Proportion of land area used for agriculture (circa 2000)</imputation>
  <security>Proportion of land area used for agriculture (circa 2000)</security>
  <embargo>Proportion of land area used for agriculture (circa 2000)</embargo>
  <respUnit>Proportion of land area used for agriculture (circa 2000)</respUnit>
  <catgry>
    <catValu>-00998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>CROPLAND reports the proportion of land that is planted in crops, for a 10-kilometer circular buffer around each DHS cluster location. The statistics reported in CROPLAND are based on agricultural censuses and remotely sensed imagery circa 2000. 

CROPLAND is available for every IPUMS-DHS sample with GPS data. 
 
CROPLAND, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PASTURELAND" name="M_PASTURELAND" files="M" intrvl="discrete">
  <labl>Proportion of land area used for pastureland (circa 2000)</labl>
  <imputation>Proportion of land area used for pastureland (circa 2000)</imputation>
  <security>Proportion of land area used for pastureland (circa 2000)</security>
  <embargo>Proportion of land area used for pastureland (circa 2000)</embargo>
  <respUnit>Proportion of land area used for pastureland (circa 2000)</respUnit>
  <catgry>
    <catValu>-00998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>PASTURELAND reports the proportion of land that is used as pasture, for a 10-kilometer circular buffer around each DHS cluster location. The pasture area statistics reported in PASTURELAND are based on agricultural censuses and remotely sensed imagery circa 2000.

PASTURELAND is available for every IPUMS-DHS sample with GPS data. 
 
PASTURELAND, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP" name="M_PRECIP" files="M" intrvl="discrete">
  <labl>Precipitation monthly time-series</labl>
  <imputation>Precipitation monthly time-series</imputation>
  <security>Precipitation monthly time-series</security>
  <embargo>Precipitation monthly time-series</embargo>
  <respUnit>Precipitation monthly time-series</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>PRECIP available</labl>
  </catgry>
  <txt>PRECIP consists of a set of 72 separate variables. These variables report the average precipitation in millimeters, received within a 10-kilometer circular buffer around each DHS cluster location, for the 60 individual months prior to the survey start date, the month of the survey start date, and the 11 individual months following the survey start date. Note that "average" precipitation here refers to averaging the monthly precipitation values for the various subareas included in the buffer zone. 
 
By adding PRECIP to your data cart, you are in effect adding 72 separate variables for:

the 60 individual months prior to the survey start date, denoted by the number of months prior to the survey start date (e.g., PRECIP_01 is the average precipitation in the month before the survey start date; PRECIP_60 is the average precipitation in the 60th month before the survey start date);
the month of the survey start date (PRECIP_00);
the 11 individual months following the month of the survey start date, denoted by the number of months following the month of the survey start date (e.g., PRECIP_A01 is the average precipitation in the month following the month of the survey start date).
 

The full set of monthly precipitation data, from January 1981 through August 2018, is available on the IPUMS-DHS contextual variables downloads [URL omitted from DDI.] page. Users can merge the precipitation data, available in csv format, with their IPUMS-DHS data extract to create average or total precipitation variables (e.g., average January precipitation, total 2017 precipitation), for the time frame suited to their research question.

For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_60" name="M_PRECIP_60" files="M" intrvl="discrete">
  <labl>Precipitation 60 months before survey start date</labl>
  <imputation>Precipitation 60 months before survey start date</imputation>
  <security>Precipitation 60 months before survey start date</security>
  <embargo>Precipitation 60 months before survey start date</embargo>
  <respUnit>Precipitation 60 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_59" name="M_PRECIP_59" files="M" intrvl="discrete">
  <labl>Precipitation 59 months before survey start date</labl>
  <imputation>Precipitation 59 months before survey start date</imputation>
  <security>Precipitation 59 months before survey start date</security>
  <embargo>Precipitation 59 months before survey start date</embargo>
  <respUnit>Precipitation 59 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_58" name="M_PRECIP_58" files="M" intrvl="discrete">
  <labl>Precipitation 58 months before survey start date</labl>
  <imputation>Precipitation 58 months before survey start date</imputation>
  <security>Precipitation 58 months before survey start date</security>
  <embargo>Precipitation 58 months before survey start date</embargo>
  <respUnit>Precipitation 58 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_57" name="M_PRECIP_57" files="M" intrvl="discrete">
  <labl>Precipitation 57 months before survey start date</labl>
  <imputation>Precipitation 57 months before survey start date</imputation>
  <security>Precipitation 57 months before survey start date</security>
  <embargo>Precipitation 57 months before survey start date</embargo>
  <respUnit>Precipitation 57 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_56" name="M_PRECIP_56" files="M" intrvl="discrete">
  <labl>Precipitation 56 months before survey start date</labl>
  <imputation>Precipitation 56 months before survey start date</imputation>
  <security>Precipitation 56 months before survey start date</security>
  <embargo>Precipitation 56 months before survey start date</embargo>
  <respUnit>Precipitation 56 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_55" name="M_PRECIP_55" files="M" intrvl="discrete">
  <labl>Precipitation 55 months before survey start date</labl>
  <imputation>Precipitation 55 months before survey start date</imputation>
  <security>Precipitation 55 months before survey start date</security>
  <embargo>Precipitation 55 months before survey start date</embargo>
  <respUnit>Precipitation 55 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_54" name="M_PRECIP_54" files="M" intrvl="discrete">
  <labl>Precipitation 54 months before survey start date</labl>
  <imputation>Precipitation 54 months before survey start date</imputation>
  <security>Precipitation 54 months before survey start date</security>
  <embargo>Precipitation 54 months before survey start date</embargo>
  <respUnit>Precipitation 54 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_53" name="M_PRECIP_53" files="M" intrvl="discrete">
  <labl>Precipitation 53 months before survey start date</labl>
  <imputation>Precipitation 53 months before survey start date</imputation>
  <security>Precipitation 53 months before survey start date</security>
  <embargo>Precipitation 53 months before survey start date</embargo>
  <respUnit>Precipitation 53 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_52" name="M_PRECIP_52" files="M" intrvl="discrete">
  <labl>Precipitation 52 months before survey start date</labl>
  <imputation>Precipitation 52 months before survey start date</imputation>
  <security>Precipitation 52 months before survey start date</security>
  <embargo>Precipitation 52 months before survey start date</embargo>
  <respUnit>Precipitation 52 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_51" name="M_PRECIP_51" files="M" intrvl="discrete">
  <labl>Precipitation 51 months before survey start date</labl>
  <imputation>Precipitation 51 months before survey start date</imputation>
  <security>Precipitation 51 months before survey start date</security>
  <embargo>Precipitation 51 months before survey start date</embargo>
  <respUnit>Precipitation 51 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_50" name="M_PRECIP_50" files="M" intrvl="discrete">
  <labl>Precipitation 50 months before survey start date</labl>
  <imputation>Precipitation 50 months before survey start date</imputation>
  <security>Precipitation 50 months before survey start date</security>
  <embargo>Precipitation 50 months before survey start date</embargo>
  <respUnit>Precipitation 50 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_49" name="M_PRECIP_49" files="M" intrvl="discrete">
  <labl>Precipitation 49 months before survey start date</labl>
  <imputation>Precipitation 49 months before survey start date</imputation>
  <security>Precipitation 49 months before survey start date</security>
  <embargo>Precipitation 49 months before survey start date</embargo>
  <respUnit>Precipitation 49 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_48" name="M_PRECIP_48" files="M" intrvl="discrete">
  <labl>Precipitation 48 months before survey start date</labl>
  <imputation>Precipitation 48 months before survey start date</imputation>
  <security>Precipitation 48 months before survey start date</security>
  <embargo>Precipitation 48 months before survey start date</embargo>
  <respUnit>Precipitation 48 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_47" name="M_PRECIP_47" files="M" intrvl="discrete">
  <labl>Precipitation 47 months before survey start date</labl>
  <imputation>Precipitation 47 months before survey start date</imputation>
  <security>Precipitation 47 months before survey start date</security>
  <embargo>Precipitation 47 months before survey start date</embargo>
  <respUnit>Precipitation 47 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_46" name="M_PRECIP_46" files="M" intrvl="discrete">
  <labl>Precipitation 46 months before survey start date</labl>
  <imputation>Precipitation 46 months before survey start date</imputation>
  <security>Precipitation 46 months before survey start date</security>
  <embargo>Precipitation 46 months before survey start date</embargo>
  <respUnit>Precipitation 46 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_45" name="M_PRECIP_45" files="M" intrvl="discrete">
  <labl>Precipitation 45 months before survey start date</labl>
  <imputation>Precipitation 45 months before survey start date</imputation>
  <security>Precipitation 45 months before survey start date</security>
  <embargo>Precipitation 45 months before survey start date</embargo>
  <respUnit>Precipitation 45 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_44" name="M_PRECIP_44" files="M" intrvl="discrete">
  <labl>Precipitation 44 months before survey start date</labl>
  <imputation>Precipitation 44 months before survey start date</imputation>
  <security>Precipitation 44 months before survey start date</security>
  <embargo>Precipitation 44 months before survey start date</embargo>
  <respUnit>Precipitation 44 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_43" name="M_PRECIP_43" files="M" intrvl="discrete">
  <labl>Precipitation 43 months before survey start date</labl>
  <imputation>Precipitation 43 months before survey start date</imputation>
  <security>Precipitation 43 months before survey start date</security>
  <embargo>Precipitation 43 months before survey start date</embargo>
  <respUnit>Precipitation 43 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_42" name="M_PRECIP_42" files="M" intrvl="discrete">
  <labl>Precipitation 42 months before survey start date</labl>
  <imputation>Precipitation 42 months before survey start date</imputation>
  <security>Precipitation 42 months before survey start date</security>
  <embargo>Precipitation 42 months before survey start date</embargo>
  <respUnit>Precipitation 42 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_41" name="M_PRECIP_41" files="M" intrvl="discrete">
  <labl>Precipitation 41 months before survey start date</labl>
  <imputation>Precipitation 41 months before survey start date</imputation>
  <security>Precipitation 41 months before survey start date</security>
  <embargo>Precipitation 41 months before survey start date</embargo>
  <respUnit>Precipitation 41 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_40" name="M_PRECIP_40" files="M" intrvl="discrete">
  <labl>Precipitation 40 months before survey start date</labl>
  <imputation>Precipitation 40 months before survey start date</imputation>
  <security>Precipitation 40 months before survey start date</security>
  <embargo>Precipitation 40 months before survey start date</embargo>
  <respUnit>Precipitation 40 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_39" name="M_PRECIP_39" files="M" intrvl="discrete">
  <labl>Precipitation 39 months before survey start date</labl>
  <imputation>Precipitation 39 months before survey start date</imputation>
  <security>Precipitation 39 months before survey start date</security>
  <embargo>Precipitation 39 months before survey start date</embargo>
  <respUnit>Precipitation 39 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_38" name="M_PRECIP_38" files="M" intrvl="discrete">
  <labl>Precipitation 38 months before survey start date</labl>
  <imputation>Precipitation 38 months before survey start date</imputation>
  <security>Precipitation 38 months before survey start date</security>
  <embargo>Precipitation 38 months before survey start date</embargo>
  <respUnit>Precipitation 38 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_37" name="M_PRECIP_37" files="M" intrvl="discrete">
  <labl>Precipitation 37 months before survey start date</labl>
  <imputation>Precipitation 37 months before survey start date</imputation>
  <security>Precipitation 37 months before survey start date</security>
  <embargo>Precipitation 37 months before survey start date</embargo>
  <respUnit>Precipitation 37 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_36" name="M_PRECIP_36" files="M" intrvl="discrete">
  <labl>Precipitation 36 months before survey start date</labl>
  <imputation>Precipitation 36 months before survey start date</imputation>
  <security>Precipitation 36 months before survey start date</security>
  <embargo>Precipitation 36 months before survey start date</embargo>
  <respUnit>Precipitation 36 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_35" name="M_PRECIP_35" files="M" intrvl="discrete">
  <labl>Precipitation 35 months before survey start date</labl>
  <imputation>Precipitation 35 months before survey start date</imputation>
  <security>Precipitation 35 months before survey start date</security>
  <embargo>Precipitation 35 months before survey start date</embargo>
  <respUnit>Precipitation 35 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_34" name="M_PRECIP_34" files="M" intrvl="discrete">
  <labl>Precipitation 34 months before survey start date</labl>
  <imputation>Precipitation 34 months before survey start date</imputation>
  <security>Precipitation 34 months before survey start date</security>
  <embargo>Precipitation 34 months before survey start date</embargo>
  <respUnit>Precipitation 34 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_33" name="M_PRECIP_33" files="M" intrvl="discrete">
  <labl>Precipitation 33 months before survey start date</labl>
  <imputation>Precipitation 33 months before survey start date</imputation>
  <security>Precipitation 33 months before survey start date</security>
  <embargo>Precipitation 33 months before survey start date</embargo>
  <respUnit>Precipitation 33 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_32" name="M_PRECIP_32" files="M" intrvl="discrete">
  <labl>Precipitation 32 months before survey start date</labl>
  <imputation>Precipitation 32 months before survey start date</imputation>
  <security>Precipitation 32 months before survey start date</security>
  <embargo>Precipitation 32 months before survey start date</embargo>
  <respUnit>Precipitation 32 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_31" name="M_PRECIP_31" files="M" intrvl="discrete">
  <labl>Precipitation 31 months before survey start date</labl>
  <imputation>Precipitation 31 months before survey start date</imputation>
  <security>Precipitation 31 months before survey start date</security>
  <embargo>Precipitation 31 months before survey start date</embargo>
  <respUnit>Precipitation 31 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_30" name="M_PRECIP_30" files="M" intrvl="discrete">
  <labl>Precipitation 30 months before survey start date</labl>
  <imputation>Precipitation 30 months before survey start date</imputation>
  <security>Precipitation 30 months before survey start date</security>
  <embargo>Precipitation 30 months before survey start date</embargo>
  <respUnit>Precipitation 30 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_29" name="M_PRECIP_29" files="M" intrvl="discrete">
  <labl>Precipitation 29 months before survey start date</labl>
  <imputation>Precipitation 29 months before survey start date</imputation>
  <security>Precipitation 29 months before survey start date</security>
  <embargo>Precipitation 29 months before survey start date</embargo>
  <respUnit>Precipitation 29 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_28" name="M_PRECIP_28" files="M" intrvl="discrete">
  <labl>Precipitation 28 months before survey start date</labl>
  <imputation>Precipitation 28 months before survey start date</imputation>
  <security>Precipitation 28 months before survey start date</security>
  <embargo>Precipitation 28 months before survey start date</embargo>
  <respUnit>Precipitation 28 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_27" name="M_PRECIP_27" files="M" intrvl="discrete">
  <labl>Precipitation 27 months before survey start date</labl>
  <imputation>Precipitation 27 months before survey start date</imputation>
  <security>Precipitation 27 months before survey start date</security>
  <embargo>Precipitation 27 months before survey start date</embargo>
  <respUnit>Precipitation 27 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_26" name="M_PRECIP_26" files="M" intrvl="discrete">
  <labl>Precipitation 26 months before survey start date</labl>
  <imputation>Precipitation 26 months before survey start date</imputation>
  <security>Precipitation 26 months before survey start date</security>
  <embargo>Precipitation 26 months before survey start date</embargo>
  <respUnit>Precipitation 26 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_25" name="M_PRECIP_25" files="M" intrvl="discrete">
  <labl>Precipitation 25 months before survey start date</labl>
  <imputation>Precipitation 25 months before survey start date</imputation>
  <security>Precipitation 25 months before survey start date</security>
  <embargo>Precipitation 25 months before survey start date</embargo>
  <respUnit>Precipitation 25 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_24" name="M_PRECIP_24" files="M" intrvl="discrete">
  <labl>Precipitation 24 months before survey start date</labl>
  <imputation>Precipitation 24 months before survey start date</imputation>
  <security>Precipitation 24 months before survey start date</security>
  <embargo>Precipitation 24 months before survey start date</embargo>
  <respUnit>Precipitation 24 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_23" name="M_PRECIP_23" files="M" intrvl="discrete">
  <labl>Precipitation 23 months before survey start date</labl>
  <imputation>Precipitation 23 months before survey start date</imputation>
  <security>Precipitation 23 months before survey start date</security>
  <embargo>Precipitation 23 months before survey start date</embargo>
  <respUnit>Precipitation 23 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_22" name="M_PRECIP_22" files="M" intrvl="discrete">
  <labl>Precipitation 22 months before survey start date</labl>
  <imputation>Precipitation 22 months before survey start date</imputation>
  <security>Precipitation 22 months before survey start date</security>
  <embargo>Precipitation 22 months before survey start date</embargo>
  <respUnit>Precipitation 22 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_21" name="M_PRECIP_21" files="M" intrvl="discrete">
  <labl>Precipitation 21 months before survey start date</labl>
  <imputation>Precipitation 21 months before survey start date</imputation>
  <security>Precipitation 21 months before survey start date</security>
  <embargo>Precipitation 21 months before survey start date</embargo>
  <respUnit>Precipitation 21 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_20" name="M_PRECIP_20" files="M" intrvl="discrete">
  <labl>Precipitation 20 months before survey start date</labl>
  <imputation>Precipitation 20 months before survey start date</imputation>
  <security>Precipitation 20 months before survey start date</security>
  <embargo>Precipitation 20 months before survey start date</embargo>
  <respUnit>Precipitation 20 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_19" name="M_PRECIP_19" files="M" intrvl="discrete">
  <labl>Precipitation 19 months before survey start date</labl>
  <imputation>Precipitation 19 months before survey start date</imputation>
  <security>Precipitation 19 months before survey start date</security>
  <embargo>Precipitation 19 months before survey start date</embargo>
  <respUnit>Precipitation 19 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_18" name="M_PRECIP_18" files="M" intrvl="discrete">
  <labl>Precipitation 18 months before survey start date</labl>
  <imputation>Precipitation 18 months before survey start date</imputation>
  <security>Precipitation 18 months before survey start date</security>
  <embargo>Precipitation 18 months before survey start date</embargo>
  <respUnit>Precipitation 18 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_17" name="M_PRECIP_17" files="M" intrvl="discrete">
  <labl>Precipitation 17 months before survey start date</labl>
  <imputation>Precipitation 17 months before survey start date</imputation>
  <security>Precipitation 17 months before survey start date</security>
  <embargo>Precipitation 17 months before survey start date</embargo>
  <respUnit>Precipitation 17 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_16" name="M_PRECIP_16" files="M" intrvl="discrete">
  <labl>Precipitation 16 months before survey start date</labl>
  <imputation>Precipitation 16 months before survey start date</imputation>
  <security>Precipitation 16 months before survey start date</security>
  <embargo>Precipitation 16 months before survey start date</embargo>
  <respUnit>Precipitation 16 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_15" name="M_PRECIP_15" files="M" intrvl="discrete">
  <labl>Precipitation 15 months before survey start date</labl>
  <imputation>Precipitation 15 months before survey start date</imputation>
  <security>Precipitation 15 months before survey start date</security>
  <embargo>Precipitation 15 months before survey start date</embargo>
  <respUnit>Precipitation 15 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_14" name="M_PRECIP_14" files="M" intrvl="discrete">
  <labl>Precipitation 14 months before survey start date</labl>
  <imputation>Precipitation 14 months before survey start date</imputation>
  <security>Precipitation 14 months before survey start date</security>
  <embargo>Precipitation 14 months before survey start date</embargo>
  <respUnit>Precipitation 14 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_13" name="M_PRECIP_13" files="M" intrvl="discrete">
  <labl>Precipitation 13 months before survey start date</labl>
  <imputation>Precipitation 13 months before survey start date</imputation>
  <security>Precipitation 13 months before survey start date</security>
  <embargo>Precipitation 13 months before survey start date</embargo>
  <respUnit>Precipitation 13 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_12" name="M_PRECIP_12" files="M" intrvl="discrete">
  <labl>Precipitation 12 months before survey start date</labl>
  <imputation>Precipitation 12 months before survey start date</imputation>
  <security>Precipitation 12 months before survey start date</security>
  <embargo>Precipitation 12 months before survey start date</embargo>
  <respUnit>Precipitation 12 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_11" name="M_PRECIP_11" files="M" intrvl="discrete">
  <labl>Precipitation 11 months before survey start date</labl>
  <imputation>Precipitation 11 months before survey start date</imputation>
  <security>Precipitation 11 months before survey start date</security>
  <embargo>Precipitation 11 months before survey start date</embargo>
  <respUnit>Precipitation 11 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_10" name="M_PRECIP_10" files="M" intrvl="discrete">
  <labl>Precipitation 10 months before survey start date</labl>
  <imputation>Precipitation 10 months before survey start date</imputation>
  <security>Precipitation 10 months before survey start date</security>
  <embargo>Precipitation 10 months before survey start date</embargo>
  <respUnit>Precipitation 10 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_09" name="M_PRECIP_09" files="M" intrvl="discrete">
  <labl>Precipitation 9 months before survey start date</labl>
  <imputation>Precipitation 9 months before survey start date</imputation>
  <security>Precipitation 9 months before survey start date</security>
  <embargo>Precipitation 9 months before survey start date</embargo>
  <respUnit>Precipitation 9 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_08" name="M_PRECIP_08" files="M" intrvl="discrete">
  <labl>Precipitation 8 months before survey start date</labl>
  <imputation>Precipitation 8 months before survey start date</imputation>
  <security>Precipitation 8 months before survey start date</security>
  <embargo>Precipitation 8 months before survey start date</embargo>
  <respUnit>Precipitation 8 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_07" name="M_PRECIP_07" files="M" intrvl="discrete">
  <labl>Precipitation 7 months before survey start date</labl>
  <imputation>Precipitation 7 months before survey start date</imputation>
  <security>Precipitation 7 months before survey start date</security>
  <embargo>Precipitation 7 months before survey start date</embargo>
  <respUnit>Precipitation 7 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_06" name="M_PRECIP_06" files="M" intrvl="discrete">
  <labl>Precipitation 6 months before survey start date</labl>
  <imputation>Precipitation 6 months before survey start date</imputation>
  <security>Precipitation 6 months before survey start date</security>
  <embargo>Precipitation 6 months before survey start date</embargo>
  <respUnit>Precipitation 6 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_05" name="M_PRECIP_05" files="M" intrvl="discrete">
  <labl>Precipitation 5 months before survey start date</labl>
  <imputation>Precipitation 5 months before survey start date</imputation>
  <security>Precipitation 5 months before survey start date</security>
  <embargo>Precipitation 5 months before survey start date</embargo>
  <respUnit>Precipitation 5 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_04" name="M_PRECIP_04" files="M" intrvl="discrete">
  <labl>Precipitation 4 months before survey start date</labl>
  <imputation>Precipitation 4 months before survey start date</imputation>
  <security>Precipitation 4 months before survey start date</security>
  <embargo>Precipitation 4 months before survey start date</embargo>
  <respUnit>Precipitation 4 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_03" name="M_PRECIP_03" files="M" intrvl="discrete">
  <labl>Precipitation 3 months before survey start date</labl>
  <imputation>Precipitation 3 months before survey start date</imputation>
  <security>Precipitation 3 months before survey start date</security>
  <embargo>Precipitation 3 months before survey start date</embargo>
  <respUnit>Precipitation 3 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_02" name="M_PRECIP_02" files="M" intrvl="discrete">
  <labl>Precipitation 2 months before survey start date</labl>
  <imputation>Precipitation 2 months before survey start date</imputation>
  <security>Precipitation 2 months before survey start date</security>
  <embargo>Precipitation 2 months before survey start date</embargo>
  <respUnit>Precipitation 2 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_01" name="M_PRECIP_01" files="M" intrvl="discrete">
  <labl>Precipitation 1 month before survey start date</labl>
  <imputation>Precipitation 1 month before survey start date</imputation>
  <security>Precipitation 1 month before survey start date</security>
  <embargo>Precipitation 1 month before survey start date</embargo>
  <respUnit>Precipitation 1 month before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_00" name="M_PRECIP_00" files="M" intrvl="discrete">
  <labl>Precipitation month of survey start date</labl>
  <imputation>Precipitation month of survey start date</imputation>
  <security>Precipitation month of survey start date</security>
  <embargo>Precipitation month of survey start date</embargo>
  <respUnit>Precipitation month of survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_A01" name="M_PRECIP_A01" files="M" intrvl="discrete">
  <labl>Precipitation 1 month after survey start date</labl>
  <imputation>Precipitation 1 month after survey start date</imputation>
  <security>Precipitation 1 month after survey start date</security>
  <embargo>Precipitation 1 month after survey start date</embargo>
  <respUnit>Precipitation 1 month after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_A02" name="M_PRECIP_A02" files="M" intrvl="discrete">
  <labl>Precipitation 2 months after survey start date</labl>
  <imputation>Precipitation 2 months after survey start date</imputation>
  <security>Precipitation 2 months after survey start date</security>
  <embargo>Precipitation 2 months after survey start date</embargo>
  <respUnit>Precipitation 2 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_A03" name="M_PRECIP_A03" files="M" intrvl="discrete">
  <labl>Precipitation 3 months after survey start date</labl>
  <imputation>Precipitation 3 months after survey start date</imputation>
  <security>Precipitation 3 months after survey start date</security>
  <embargo>Precipitation 3 months after survey start date</embargo>
  <respUnit>Precipitation 3 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_A04" name="M_PRECIP_A04" files="M" intrvl="discrete">
  <labl>Precipitation 4 months after survey start date</labl>
  <imputation>Precipitation 4 months after survey start date</imputation>
  <security>Precipitation 4 months after survey start date</security>
  <embargo>Precipitation 4 months after survey start date</embargo>
  <respUnit>Precipitation 4 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_A05" name="M_PRECIP_A05" files="M" intrvl="discrete">
  <labl>Precipitation 5 months after survey start date</labl>
  <imputation>Precipitation 5 months after survey start date</imputation>
  <security>Precipitation 5 months after survey start date</security>
  <embargo>Precipitation 5 months after survey start date</embargo>
  <respUnit>Precipitation 5 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_A06" name="M_PRECIP_A06" files="M" intrvl="discrete">
  <labl>Precipitation 6 months after survey start date</labl>
  <imputation>Precipitation 6 months after survey start date</imputation>
  <security>Precipitation 6 months after survey start date</security>
  <embargo>Precipitation 6 months after survey start date</embargo>
  <respUnit>Precipitation 6 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_A07" name="M_PRECIP_A07" files="M" intrvl="discrete">
  <labl>Precipitation 7 months after survey start date</labl>
  <imputation>Precipitation 7 months after survey start date</imputation>
  <security>Precipitation 7 months after survey start date</security>
  <embargo>Precipitation 7 months after survey start date</embargo>
  <respUnit>Precipitation 7 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_A08" name="M_PRECIP_A08" files="M" intrvl="discrete">
  <labl>Precipitation 8 months after survey start date</labl>
  <imputation>Precipitation 8 months after survey start date</imputation>
  <security>Precipitation 8 months after survey start date</security>
  <embargo>Precipitation 8 months after survey start date</embargo>
  <respUnit>Precipitation 8 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_A09" name="M_PRECIP_A09" files="M" intrvl="discrete">
  <labl>Precipitation 9 months after survey start date</labl>
  <imputation>Precipitation 9 months after survey start date</imputation>
  <security>Precipitation 9 months after survey start date</security>
  <embargo>Precipitation 9 months after survey start date</embargo>
  <respUnit>Precipitation 9 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_A10" name="M_PRECIP_A10" files="M" intrvl="discrete">
  <labl>Precipitation 10 months after survey start date</labl>
  <imputation>Precipitation 10 months after survey start date</imputation>
  <security>Precipitation 10 months after survey start date</security>
  <embargo>Precipitation 10 months after survey start date</embargo>
  <respUnit>Precipitation 10 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_PRECIP_A11" name="M_PRECIP_A11" files="M" intrvl="discrete">
  <labl>Precipitation 11 months after survey start date</labl>
  <imputation>Precipitation 11 months after survey start date</imputation>
  <security>Precipitation 11 months after survey start date</security>
  <embargo>Precipitation 11 months after survey start date</embargo>
  <respUnit>Precipitation 11 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN" name="M_TEMPMIN" files="M" intrvl="discrete">
  <labl>Average minimum monthly temperature</labl>
  <imputation>Average minimum monthly temperature</imputation>
  <security>Average minimum monthly temperature</security>
  <embargo>Average minimum monthly temperature</embargo>
  <respUnit>Average minimum monthly temperature</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>TEMPMAX available</labl>
  </catgry>
  <txt>TEMPMIN consists of a set of 72 separate variables reporting minimum monthly temperatures. These variables report the average minimum temperature in kelvin scale, within a 10-kilometer circular buffer around each DHS cluster location, for the 60 individual months prior to the survey start date, the month of the survey start date, and the 11 individual months following the survey start date. Note that "average" minimum temperature here refers to averaging the minimum temperature values for the various subareas included in the buffer zone.
 
By adding TEMPMIN to your data cart, you are in effect adding 72 separate variables for:

the 60 individual months prior to the survey start date, denoted by the number of months prior to the survey start date (e.g., TEMPMIN_01 is the average minimum temperature in the month before the survey start date; TEMPMIN _60 is the average minimum temperature in the 60th month before the survey start date)
the month of the survey start date (TEMPMIN _00)
the 11 individual months following the month of the survey start date, denoted by the number of months following the month of the survey start date (e.g., TEMPMIN_A01 is the average minimum temperature in the month following the month of the survey start date)
 

The full set of monthly temperature data, from January 1980 through December 2016, is available on the IPUMS-DHS contextual variables downloads [URL omitted from DDI.] page. Users can merge the temperature data, available in csv format, with their IPUMS-DHS data extract to create average or total precipitation variables (e.g., average minimum January temperature), for the time frame suited to their research question.

For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_60" name="M_TEMPMIN_60" files="M" intrvl="discrete">
  <labl>Average minimum temperature 60 months before survey start date</labl>
  <imputation>Average minimum temperature 60 months before survey start date</imputation>
  <security>Average minimum temperature 60 months before survey start date</security>
  <embargo>Average minimum temperature 60 months before survey start date</embargo>
  <respUnit>Average minimum temperature 60 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_59" name="M_TEMPMIN_59" files="M" intrvl="discrete">
  <labl>Average minimum temperature 59 months before survey start date</labl>
  <imputation>Average minimum temperature 59 months before survey start date</imputation>
  <security>Average minimum temperature 59 months before survey start date</security>
  <embargo>Average minimum temperature 59 months before survey start date</embargo>
  <respUnit>Average minimum temperature 59 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_58" name="M_TEMPMIN_58" files="M" intrvl="discrete">
  <labl>Average minimum temperature 58 months before survey start date</labl>
  <imputation>Average minimum temperature 58 months before survey start date</imputation>
  <security>Average minimum temperature 58 months before survey start date</security>
  <embargo>Average minimum temperature 58 months before survey start date</embargo>
  <respUnit>Average minimum temperature 58 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_57" name="M_TEMPMIN_57" files="M" intrvl="discrete">
  <labl>Average minimum temperature 57 months before survey start date</labl>
  <imputation>Average minimum temperature 57 months before survey start date</imputation>
  <security>Average minimum temperature 57 months before survey start date</security>
  <embargo>Average minimum temperature 57 months before survey start date</embargo>
  <respUnit>Average minimum temperature 57 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_56" name="M_TEMPMIN_56" files="M" intrvl="discrete">
  <labl>Average minimum temperature 56 months before survey start date</labl>
  <imputation>Average minimum temperature 56 months before survey start date</imputation>
  <security>Average minimum temperature 56 months before survey start date</security>
  <embargo>Average minimum temperature 56 months before survey start date</embargo>
  <respUnit>Average minimum temperature 56 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_55" name="M_TEMPMIN_55" files="M" intrvl="discrete">
  <labl>Average minimum temperature 55 months before survey start date</labl>
  <imputation>Average minimum temperature 55 months before survey start date</imputation>
  <security>Average minimum temperature 55 months before survey start date</security>
  <embargo>Average minimum temperature 55 months before survey start date</embargo>
  <respUnit>Average minimum temperature 55 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_54" name="M_TEMPMIN_54" files="M" intrvl="discrete">
  <labl>Average minimum temperature 54 months before survey start date</labl>
  <imputation>Average minimum temperature 54 months before survey start date</imputation>
  <security>Average minimum temperature 54 months before survey start date</security>
  <embargo>Average minimum temperature 54 months before survey start date</embargo>
  <respUnit>Average minimum temperature 54 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_53" name="M_TEMPMIN_53" files="M" intrvl="discrete">
  <labl>Average minimum temperature 53 months before survey start date</labl>
  <imputation>Average minimum temperature 53 months before survey start date</imputation>
  <security>Average minimum temperature 53 months before survey start date</security>
  <embargo>Average minimum temperature 53 months before survey start date</embargo>
  <respUnit>Average minimum temperature 53 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_52" name="M_TEMPMIN_52" files="M" intrvl="discrete">
  <labl>Average minimum temperature 52 months before survey start date</labl>
  <imputation>Average minimum temperature 52 months before survey start date</imputation>
  <security>Average minimum temperature 52 months before survey start date</security>
  <embargo>Average minimum temperature 52 months before survey start date</embargo>
  <respUnit>Average minimum temperature 52 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_51" name="M_TEMPMIN_51" files="M" intrvl="discrete">
  <labl>Average minimum temperature 51 months before survey start date</labl>
  <imputation>Average minimum temperature 51 months before survey start date</imputation>
  <security>Average minimum temperature 51 months before survey start date</security>
  <embargo>Average minimum temperature 51 months before survey start date</embargo>
  <respUnit>Average minimum temperature 51 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_50" name="M_TEMPMIN_50" files="M" intrvl="discrete">
  <labl>Average minimum temperature 50 months before survey start date</labl>
  <imputation>Average minimum temperature 50 months before survey start date</imputation>
  <security>Average minimum temperature 50 months before survey start date</security>
  <embargo>Average minimum temperature 50 months before survey start date</embargo>
  <respUnit>Average minimum temperature 50 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_49" name="M_TEMPMIN_49" files="M" intrvl="discrete">
  <labl>Average minimum temperature 49 months before survey start date</labl>
  <imputation>Average minimum temperature 49 months before survey start date</imputation>
  <security>Average minimum temperature 49 months before survey start date</security>
  <embargo>Average minimum temperature 49 months before survey start date</embargo>
  <respUnit>Average minimum temperature 49 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_48" name="M_TEMPMIN_48" files="M" intrvl="discrete">
  <labl>Average minimum temperature 48 months before survey start date</labl>
  <imputation>Average minimum temperature 48 months before survey start date</imputation>
  <security>Average minimum temperature 48 months before survey start date</security>
  <embargo>Average minimum temperature 48 months before survey start date</embargo>
  <respUnit>Average minimum temperature 48 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_47" name="M_TEMPMIN_47" files="M" intrvl="discrete">
  <labl>Average minimum temperature 47 months before survey start date</labl>
  <imputation>Average minimum temperature 47 months before survey start date</imputation>
  <security>Average minimum temperature 47 months before survey start date</security>
  <embargo>Average minimum temperature 47 months before survey start date</embargo>
  <respUnit>Average minimum temperature 47 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_46" name="M_TEMPMIN_46" files="M" intrvl="discrete">
  <labl>Average minimum temperature 46 months before survey start date</labl>
  <imputation>Average minimum temperature 46 months before survey start date</imputation>
  <security>Average minimum temperature 46 months before survey start date</security>
  <embargo>Average minimum temperature 46 months before survey start date</embargo>
  <respUnit>Average minimum temperature 46 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_45" name="M_TEMPMIN_45" files="M" intrvl="discrete">
  <labl>Average minimum temperature 45 months before survey start date</labl>
  <imputation>Average minimum temperature 45 months before survey start date</imputation>
  <security>Average minimum temperature 45 months before survey start date</security>
  <embargo>Average minimum temperature 45 months before survey start date</embargo>
  <respUnit>Average minimum temperature 45 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_44" name="M_TEMPMIN_44" files="M" intrvl="discrete">
  <labl>Average minimum temperature 44 months before survey start date</labl>
  <imputation>Average minimum temperature 44 months before survey start date</imputation>
  <security>Average minimum temperature 44 months before survey start date</security>
  <embargo>Average minimum temperature 44 months before survey start date</embargo>
  <respUnit>Average minimum temperature 44 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_43" name="M_TEMPMIN_43" files="M" intrvl="discrete">
  <labl>Average minimum temperature 43 months before survey start date</labl>
  <imputation>Average minimum temperature 43 months before survey start date</imputation>
  <security>Average minimum temperature 43 months before survey start date</security>
  <embargo>Average minimum temperature 43 months before survey start date</embargo>
  <respUnit>Average minimum temperature 43 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_42" name="M_TEMPMIN_42" files="M" intrvl="discrete">
  <labl>Average minimum temperature 42 months before survey start date</labl>
  <imputation>Average minimum temperature 42 months before survey start date</imputation>
  <security>Average minimum temperature 42 months before survey start date</security>
  <embargo>Average minimum temperature 42 months before survey start date</embargo>
  <respUnit>Average minimum temperature 42 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_41" name="M_TEMPMIN_41" files="M" intrvl="discrete">
  <labl>Average minimum temperature 41 months before survey start date</labl>
  <imputation>Average minimum temperature 41 months before survey start date</imputation>
  <security>Average minimum temperature 41 months before survey start date</security>
  <embargo>Average minimum temperature 41 months before survey start date</embargo>
  <respUnit>Average minimum temperature 41 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_40" name="M_TEMPMIN_40" files="M" intrvl="discrete">
  <labl>Average minimum temperature 40 months before survey start date</labl>
  <imputation>Average minimum temperature 40 months before survey start date</imputation>
  <security>Average minimum temperature 40 months before survey start date</security>
  <embargo>Average minimum temperature 40 months before survey start date</embargo>
  <respUnit>Average minimum temperature 40 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_39" name="M_TEMPMIN_39" files="M" intrvl="discrete">
  <labl>Average minimum temperature 39 months before survey start date</labl>
  <imputation>Average minimum temperature 39 months before survey start date</imputation>
  <security>Average minimum temperature 39 months before survey start date</security>
  <embargo>Average minimum temperature 39 months before survey start date</embargo>
  <respUnit>Average minimum temperature 39 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_38" name="M_TEMPMIN_38" files="M" intrvl="discrete">
  <labl>Average minimum temperature 38 months before survey start date</labl>
  <imputation>Average minimum temperature 38 months before survey start date</imputation>
  <security>Average minimum temperature 38 months before survey start date</security>
  <embargo>Average minimum temperature 38 months before survey start date</embargo>
  <respUnit>Average minimum temperature 38 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_37" name="M_TEMPMIN_37" files="M" intrvl="discrete">
  <labl>Average minimum temperature 37 months before survey start date</labl>
  <imputation>Average minimum temperature 37 months before survey start date</imputation>
  <security>Average minimum temperature 37 months before survey start date</security>
  <embargo>Average minimum temperature 37 months before survey start date</embargo>
  <respUnit>Average minimum temperature 37 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_36" name="M_TEMPMIN_36" files="M" intrvl="discrete">
  <labl>Average minimum temperature 36 months before survey start date</labl>
  <imputation>Average minimum temperature 36 months before survey start date</imputation>
  <security>Average minimum temperature 36 months before survey start date</security>
  <embargo>Average minimum temperature 36 months before survey start date</embargo>
  <respUnit>Average minimum temperature 36 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_35" name="M_TEMPMIN_35" files="M" intrvl="discrete">
  <labl>Average minimum temperature 35 months before survey start date</labl>
  <imputation>Average minimum temperature 35 months before survey start date</imputation>
  <security>Average minimum temperature 35 months before survey start date</security>
  <embargo>Average minimum temperature 35 months before survey start date</embargo>
  <respUnit>Average minimum temperature 35 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_34" name="M_TEMPMIN_34" files="M" intrvl="discrete">
  <labl>Average minimum temperature 34 months before survey start date</labl>
  <imputation>Average minimum temperature 34 months before survey start date</imputation>
  <security>Average minimum temperature 34 months before survey start date</security>
  <embargo>Average minimum temperature 34 months before survey start date</embargo>
  <respUnit>Average minimum temperature 34 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_33" name="M_TEMPMIN_33" files="M" intrvl="discrete">
  <labl>Average minimum temperature 33 months before survey start date</labl>
  <imputation>Average minimum temperature 33 months before survey start date</imputation>
  <security>Average minimum temperature 33 months before survey start date</security>
  <embargo>Average minimum temperature 33 months before survey start date</embargo>
  <respUnit>Average minimum temperature 33 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_32" name="M_TEMPMIN_32" files="M" intrvl="discrete">
  <labl>Average minimum temperature 32 months before survey start date</labl>
  <imputation>Average minimum temperature 32 months before survey start date</imputation>
  <security>Average minimum temperature 32 months before survey start date</security>
  <embargo>Average minimum temperature 32 months before survey start date</embargo>
  <respUnit>Average minimum temperature 32 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_31" name="M_TEMPMIN_31" files="M" intrvl="discrete">
  <labl>Average minimum temperature 31 months before survey start date</labl>
  <imputation>Average minimum temperature 31 months before survey start date</imputation>
  <security>Average minimum temperature 31 months before survey start date</security>
  <embargo>Average minimum temperature 31 months before survey start date</embargo>
  <respUnit>Average minimum temperature 31 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_30" name="M_TEMPMIN_30" files="M" intrvl="discrete">
  <labl>Average minimum temperature 30 months before survey start date</labl>
  <imputation>Average minimum temperature 30 months before survey start date</imputation>
  <security>Average minimum temperature 30 months before survey start date</security>
  <embargo>Average minimum temperature 30 months before survey start date</embargo>
  <respUnit>Average minimum temperature 30 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_29" name="M_TEMPMIN_29" files="M" intrvl="discrete">
  <labl>Average minimum temperature 29 months before survey start date</labl>
  <imputation>Average minimum temperature 29 months before survey start date</imputation>
  <security>Average minimum temperature 29 months before survey start date</security>
  <embargo>Average minimum temperature 29 months before survey start date</embargo>
  <respUnit>Average minimum temperature 29 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_28" name="M_TEMPMIN_28" files="M" intrvl="discrete">
  <labl>Average minimum temperature 28 months before survey start date</labl>
  <imputation>Average minimum temperature 28 months before survey start date</imputation>
  <security>Average minimum temperature 28 months before survey start date</security>
  <embargo>Average minimum temperature 28 months before survey start date</embargo>
  <respUnit>Average minimum temperature 28 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_27" name="M_TEMPMIN_27" files="M" intrvl="discrete">
  <labl>Average minimum temperature 27 months before survey start date</labl>
  <imputation>Average minimum temperature 27 months before survey start date</imputation>
  <security>Average minimum temperature 27 months before survey start date</security>
  <embargo>Average minimum temperature 27 months before survey start date</embargo>
  <respUnit>Average minimum temperature 27 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_26" name="M_TEMPMIN_26" files="M" intrvl="discrete">
  <labl>Average minimum temperature 26 months before survey start date</labl>
  <imputation>Average minimum temperature 26 months before survey start date</imputation>
  <security>Average minimum temperature 26 months before survey start date</security>
  <embargo>Average minimum temperature 26 months before survey start date</embargo>
  <respUnit>Average minimum temperature 26 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_25" name="M_TEMPMIN_25" files="M" intrvl="discrete">
  <labl>Average minimum temperature 25 months before survey start date</labl>
  <imputation>Average minimum temperature 25 months before survey start date</imputation>
  <security>Average minimum temperature 25 months before survey start date</security>
  <embargo>Average minimum temperature 25 months before survey start date</embargo>
  <respUnit>Average minimum temperature 25 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_24" name="M_TEMPMIN_24" files="M" intrvl="discrete">
  <labl>Average minimum temperature 24 months before survey start date</labl>
  <imputation>Average minimum temperature 24 months before survey start date</imputation>
  <security>Average minimum temperature 24 months before survey start date</security>
  <embargo>Average minimum temperature 24 months before survey start date</embargo>
  <respUnit>Average minimum temperature 24 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_23" name="M_TEMPMIN_23" files="M" intrvl="discrete">
  <labl>Average minimum temperature 23 months before survey start date</labl>
  <imputation>Average minimum temperature 23 months before survey start date</imputation>
  <security>Average minimum temperature 23 months before survey start date</security>
  <embargo>Average minimum temperature 23 months before survey start date</embargo>
  <respUnit>Average minimum temperature 23 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_22" name="M_TEMPMIN_22" files="M" intrvl="discrete">
  <labl>Average minimum temperature 22 months before survey start date</labl>
  <imputation>Average minimum temperature 22 months before survey start date</imputation>
  <security>Average minimum temperature 22 months before survey start date</security>
  <embargo>Average minimum temperature 22 months before survey start date</embargo>
  <respUnit>Average minimum temperature 22 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_21" name="M_TEMPMIN_21" files="M" intrvl="discrete">
  <labl>Average minimum temperature 21 months before survey start date</labl>
  <imputation>Average minimum temperature 21 months before survey start date</imputation>
  <security>Average minimum temperature 21 months before survey start date</security>
  <embargo>Average minimum temperature 21 months before survey start date</embargo>
  <respUnit>Average minimum temperature 21 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_20" name="M_TEMPMIN_20" files="M" intrvl="discrete">
  <labl>Average minimum temperature 20 months before survey start date</labl>
  <imputation>Average minimum temperature 20 months before survey start date</imputation>
  <security>Average minimum temperature 20 months before survey start date</security>
  <embargo>Average minimum temperature 20 months before survey start date</embargo>
  <respUnit>Average minimum temperature 20 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_19" name="M_TEMPMIN_19" files="M" intrvl="discrete">
  <labl>Average minimum temperature 19 months before survey start date</labl>
  <imputation>Average minimum temperature 19 months before survey start date</imputation>
  <security>Average minimum temperature 19 months before survey start date</security>
  <embargo>Average minimum temperature 19 months before survey start date</embargo>
  <respUnit>Average minimum temperature 19 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_18" name="M_TEMPMIN_18" files="M" intrvl="discrete">
  <labl>Average minimum temperature 18 months before survey start date</labl>
  <imputation>Average minimum temperature 18 months before survey start date</imputation>
  <security>Average minimum temperature 18 months before survey start date</security>
  <embargo>Average minimum temperature 18 months before survey start date</embargo>
  <respUnit>Average minimum temperature 18 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_17" name="M_TEMPMIN_17" files="M" intrvl="discrete">
  <labl>Average minimum temperature 17 months before survey start date</labl>
  <imputation>Average minimum temperature 17 months before survey start date</imputation>
  <security>Average minimum temperature 17 months before survey start date</security>
  <embargo>Average minimum temperature 17 months before survey start date</embargo>
  <respUnit>Average minimum temperature 17 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_16" name="M_TEMPMIN_16" files="M" intrvl="discrete">
  <labl>Average minimum temperature 16 months before survey start date</labl>
  <imputation>Average minimum temperature 16 months before survey start date</imputation>
  <security>Average minimum temperature 16 months before survey start date</security>
  <embargo>Average minimum temperature 16 months before survey start date</embargo>
  <respUnit>Average minimum temperature 16 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_15" name="M_TEMPMIN_15" files="M" intrvl="discrete">
  <labl>Average minimum temperature 15 months before survey start date</labl>
  <imputation>Average minimum temperature 15 months before survey start date</imputation>
  <security>Average minimum temperature 15 months before survey start date</security>
  <embargo>Average minimum temperature 15 months before survey start date</embargo>
  <respUnit>Average minimum temperature 15 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_14" name="M_TEMPMIN_14" files="M" intrvl="discrete">
  <labl>Average minimum temperature 14 months before survey start date</labl>
  <imputation>Average minimum temperature 14 months before survey start date</imputation>
  <security>Average minimum temperature 14 months before survey start date</security>
  <embargo>Average minimum temperature 14 months before survey start date</embargo>
  <respUnit>Average minimum temperature 14 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_13" name="M_TEMPMIN_13" files="M" intrvl="discrete">
  <labl>Average minimum temperature 13 months before survey start date</labl>
  <imputation>Average minimum temperature 13 months before survey start date</imputation>
  <security>Average minimum temperature 13 months before survey start date</security>
  <embargo>Average minimum temperature 13 months before survey start date</embargo>
  <respUnit>Average minimum temperature 13 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_12" name="M_TEMPMIN_12" files="M" intrvl="discrete">
  <labl>Average minimum temperature 12 months before survey start date</labl>
  <imputation>Average minimum temperature 12 months before survey start date</imputation>
  <security>Average minimum temperature 12 months before survey start date</security>
  <embargo>Average minimum temperature 12 months before survey start date</embargo>
  <respUnit>Average minimum temperature 12 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_11" name="M_TEMPMIN_11" files="M" intrvl="discrete">
  <labl>Average minimum temperature 11 months before survey start date</labl>
  <imputation>Average minimum temperature 11 months before survey start date</imputation>
  <security>Average minimum temperature 11 months before survey start date</security>
  <embargo>Average minimum temperature 11 months before survey start date</embargo>
  <respUnit>Average minimum temperature 11 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_10" name="M_TEMPMIN_10" files="M" intrvl="discrete">
  <labl>Average minimum temperature 10 months before survey start date</labl>
  <imputation>Average minimum temperature 10 months before survey start date</imputation>
  <security>Average minimum temperature 10 months before survey start date</security>
  <embargo>Average minimum temperature 10 months before survey start date</embargo>
  <respUnit>Average minimum temperature 10 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_09" name="M_TEMPMIN_09" files="M" intrvl="discrete">
  <labl>Average minimum temperature 9 months before survey start date</labl>
  <imputation>Average minimum temperature 9 months before survey start date</imputation>
  <security>Average minimum temperature 9 months before survey start date</security>
  <embargo>Average minimum temperature 9 months before survey start date</embargo>
  <respUnit>Average minimum temperature 9 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_08" name="M_TEMPMIN_08" files="M" intrvl="discrete">
  <labl>Average minimum temperature 8 months before survey start date</labl>
  <imputation>Average minimum temperature 8 months before survey start date</imputation>
  <security>Average minimum temperature 8 months before survey start date</security>
  <embargo>Average minimum temperature 8 months before survey start date</embargo>
  <respUnit>Average minimum temperature 8 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_07" name="M_TEMPMIN_07" files="M" intrvl="discrete">
  <labl>Average minimum temperature 7 months before survey start date</labl>
  <imputation>Average minimum temperature 7 months before survey start date</imputation>
  <security>Average minimum temperature 7 months before survey start date</security>
  <embargo>Average minimum temperature 7 months before survey start date</embargo>
  <respUnit>Average minimum temperature 7 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_06" name="M_TEMPMIN_06" files="M" intrvl="discrete">
  <labl>Average minimum temperature 6 months before survey start date</labl>
  <imputation>Average minimum temperature 6 months before survey start date</imputation>
  <security>Average minimum temperature 6 months before survey start date</security>
  <embargo>Average minimum temperature 6 months before survey start date</embargo>
  <respUnit>Average minimum temperature 6 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_05" name="M_TEMPMIN_05" files="M" intrvl="discrete">
  <labl>Average minimum temperature 5 months before survey start date</labl>
  <imputation>Average minimum temperature 5 months before survey start date</imputation>
  <security>Average minimum temperature 5 months before survey start date</security>
  <embargo>Average minimum temperature 5 months before survey start date</embargo>
  <respUnit>Average minimum temperature 5 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_04" name="M_TEMPMIN_04" files="M" intrvl="discrete">
  <labl>Average minimum temperature 4 months before survey start date</labl>
  <imputation>Average minimum temperature 4 months before survey start date</imputation>
  <security>Average minimum temperature 4 months before survey start date</security>
  <embargo>Average minimum temperature 4 months before survey start date</embargo>
  <respUnit>Average minimum temperature 4 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_03" name="M_TEMPMIN_03" files="M" intrvl="discrete">
  <labl>Average minimum temperature 3 months before survey start date</labl>
  <imputation>Average minimum temperature 3 months before survey start date</imputation>
  <security>Average minimum temperature 3 months before survey start date</security>
  <embargo>Average minimum temperature 3 months before survey start date</embargo>
  <respUnit>Average minimum temperature 3 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_02" name="M_TEMPMIN_02" files="M" intrvl="discrete">
  <labl>Average minimum temperature 2 months before survey start date</labl>
  <imputation>Average minimum temperature 2 months before survey start date</imputation>
  <security>Average minimum temperature 2 months before survey start date</security>
  <embargo>Average minimum temperature 2 months before survey start date</embargo>
  <respUnit>Average minimum temperature 2 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_01" name="M_TEMPMIN_01" files="M" intrvl="discrete">
  <labl>Average minimum temperature 1 month before survey start date</labl>
  <imputation>Average minimum temperature 1 month before survey start date</imputation>
  <security>Average minimum temperature 1 month before survey start date</security>
  <embargo>Average minimum temperature 1 month before survey start date</embargo>
  <respUnit>Average minimum temperature 1 month before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_00" name="M_TEMPMIN_00" files="M" intrvl="discrete">
  <labl>Average minimum temperature month of survey start date</labl>
  <imputation>Average minimum temperature month of survey start date</imputation>
  <security>Average minimum temperature month of survey start date</security>
  <embargo>Average minimum temperature month of survey start date</embargo>
  <respUnit>Average minimum temperature month of survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_A01" name="M_TEMPMIN_A01" files="M" intrvl="discrete">
  <labl>Average minimum temperature 1 month after survey start date</labl>
  <imputation>Average minimum temperature 1 month after survey start date</imputation>
  <security>Average minimum temperature 1 month after survey start date</security>
  <embargo>Average minimum temperature 1 month after survey start date</embargo>
  <respUnit>Average minimum temperature 1 month after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_A02" name="M_TEMPMIN_A02" files="M" intrvl="discrete">
  <labl>Average minimum temperature 2 months after survey start date</labl>
  <imputation>Average minimum temperature 2 months after survey start date</imputation>
  <security>Average minimum temperature 2 months after survey start date</security>
  <embargo>Average minimum temperature 2 months after survey start date</embargo>
  <respUnit>Average minimum temperature 2 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_A03" name="M_TEMPMIN_A03" files="M" intrvl="discrete">
  <labl>Average minimum temperature 3 months after survey start date</labl>
  <imputation>Average minimum temperature 3 months after survey start date</imputation>
  <security>Average minimum temperature 3 months after survey start date</security>
  <embargo>Average minimum temperature 3 months after survey start date</embargo>
  <respUnit>Average minimum temperature 3 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_A04" name="M_TEMPMIN_A04" files="M" intrvl="discrete">
  <labl>Average minimum temperature 4 months after survey start date</labl>
  <imputation>Average minimum temperature 4 months after survey start date</imputation>
  <security>Average minimum temperature 4 months after survey start date</security>
  <embargo>Average minimum temperature 4 months after survey start date</embargo>
  <respUnit>Average minimum temperature 4 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_A05" name="M_TEMPMIN_A05" files="M" intrvl="discrete">
  <labl>Average minimum temperature 5 months after survey start date</labl>
  <imputation>Average minimum temperature 5 months after survey start date</imputation>
  <security>Average minimum temperature 5 months after survey start date</security>
  <embargo>Average minimum temperature 5 months after survey start date</embargo>
  <respUnit>Average minimum temperature 5 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_A06" name="M_TEMPMIN_A06" files="M" intrvl="discrete">
  <labl>Average minimum temperature 6 months after survey start date</labl>
  <imputation>Average minimum temperature 6 months after survey start date</imputation>
  <security>Average minimum temperature 6 months after survey start date</security>
  <embargo>Average minimum temperature 6 months after survey start date</embargo>
  <respUnit>Average minimum temperature 6 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_A07" name="M_TEMPMIN_A07" files="M" intrvl="discrete">
  <labl>Average minimum temperature 7 months after survey start date</labl>
  <imputation>Average minimum temperature 7 months after survey start date</imputation>
  <security>Average minimum temperature 7 months after survey start date</security>
  <embargo>Average minimum temperature 7 months after survey start date</embargo>
  <respUnit>Average minimum temperature 7 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_A08" name="M_TEMPMIN_A08" files="M" intrvl="discrete">
  <labl>Average minimum temperature 8 months after survey start date</labl>
  <imputation>Average minimum temperature 8 months after survey start date</imputation>
  <security>Average minimum temperature 8 months after survey start date</security>
  <embargo>Average minimum temperature 8 months after survey start date</embargo>
  <respUnit>Average minimum temperature 8 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_A09" name="M_TEMPMIN_A09" files="M" intrvl="discrete">
  <labl>Average minimum temperature 9 months after survey start date</labl>
  <imputation>Average minimum temperature 9 months after survey start date</imputation>
  <security>Average minimum temperature 9 months after survey start date</security>
  <embargo>Average minimum temperature 9 months after survey start date</embargo>
  <respUnit>Average minimum temperature 9 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_A10" name="M_TEMPMIN_A10" files="M" intrvl="discrete">
  <labl>Average minimum temperature 10 months after survey start date</labl>
  <imputation>Average minimum temperature 10 months after survey start date</imputation>
  <security>Average minimum temperature 10 months after survey start date</security>
  <embargo>Average minimum temperature 10 months after survey start date</embargo>
  <respUnit>Average minimum temperature 10 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMIN_A11" name="M_TEMPMIN_A11" files="M" intrvl="discrete">
  <labl>Average minimum temperature 11 months after survey start date</labl>
  <imputation>Average minimum temperature 11 months after survey start date</imputation>
  <security>Average minimum temperature 11 months after survey start date</security>
  <embargo>Average minimum temperature 11 months after survey start date</embargo>
  <respUnit>Average minimum temperature 11 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX" name="M_TEMPMAX" files="M" intrvl="discrete">
  <labl>Average maximum monthly temperature</labl>
  <imputation>Average maximum monthly temperature</imputation>
  <security>Average maximum monthly temperature</security>
  <embargo>Average maximum monthly temperature</embargo>
  <respUnit>Average maximum monthly temperature</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>TEMPMAX available</labl>
  </catgry>
  <txt>TEMPMAX consists of a set of 72 separate variables reporting maximum monthly temperatures. These variables report the average maximum temperature in kelvin scale, within a 10-kilometer circular buffer around each DHS cluster location, for the 60 individual months prior to the survey start date, the month of the survey start date, and the 11 individual months following the survey start date. Note that "average" maximum temperature here refers to averaging the maximum temperature values for the various subareas included in the buffer zone. 
 
By adding TEMPMAX to your data cart, you are in effect adding 72 separate variables for:

the 60 individual months prior to the survey start date, denoted by the number of months prior to the survey start date (e.g., TEMPMAX_01 is the average maximum temperature in the month before the survey start date; TEMPMAX _60 is the average maximum temperature in the 60th month before the survey start date)
the month of the survey start date (TEMPMAX _00)
the 11 individual months following the month of the survey start date, denoted by the number of months following the month of the survey start date (e.g., TEMPMAX_A01 is the average maximum temperature in the month following the month of the survey start date).
 

The full set of monthly temperature data, from January 1980 through December 2016, is available on the IPUMS-DHS contextual variables downloads [URL omitted from DDI.] page. Users can merge the temperature data, available in csv format, with their IPUMS-DHS data extract to create average or total precipitation variables (e.g., average maximum July temperature), for the time frame suited to their research question.

For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_60" name="M_TEMPMAX_60" files="M" intrvl="discrete">
  <labl>Average maximum temperature 60 months before survey start date</labl>
  <imputation>Average maximum temperature 60 months before survey start date</imputation>
  <security>Average maximum temperature 60 months before survey start date</security>
  <embargo>Average maximum temperature 60 months before survey start date</embargo>
  <respUnit>Average maximum temperature 60 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_59" name="M_TEMPMAX_59" files="M" intrvl="discrete">
  <labl>Average maximum temperature 59 months before survey start date</labl>
  <imputation>Average maximum temperature 59 months before survey start date</imputation>
  <security>Average maximum temperature 59 months before survey start date</security>
  <embargo>Average maximum temperature 59 months before survey start date</embargo>
  <respUnit>Average maximum temperature 59 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_58" name="M_TEMPMAX_58" files="M" intrvl="discrete">
  <labl>Average maximum temperature 58 months before survey start date</labl>
  <imputation>Average maximum temperature 58 months before survey start date</imputation>
  <security>Average maximum temperature 58 months before survey start date</security>
  <embargo>Average maximum temperature 58 months before survey start date</embargo>
  <respUnit>Average maximum temperature 58 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_57" name="M_TEMPMAX_57" files="M" intrvl="discrete">
  <labl>Average maximum temperature 57 months before survey start date</labl>
  <imputation>Average maximum temperature 57 months before survey start date</imputation>
  <security>Average maximum temperature 57 months before survey start date</security>
  <embargo>Average maximum temperature 57 months before survey start date</embargo>
  <respUnit>Average maximum temperature 57 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_56" name="M_TEMPMAX_56" files="M" intrvl="discrete">
  <labl>Average maximum temperature 56 months before survey start date</labl>
  <imputation>Average maximum temperature 56 months before survey start date</imputation>
  <security>Average maximum temperature 56 months before survey start date</security>
  <embargo>Average maximum temperature 56 months before survey start date</embargo>
  <respUnit>Average maximum temperature 56 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_55" name="M_TEMPMAX_55" files="M" intrvl="discrete">
  <labl>Average maximum temperature 55 months before survey start date</labl>
  <imputation>Average maximum temperature 55 months before survey start date</imputation>
  <security>Average maximum temperature 55 months before survey start date</security>
  <embargo>Average maximum temperature 55 months before survey start date</embargo>
  <respUnit>Average maximum temperature 55 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_54" name="M_TEMPMAX_54" files="M" intrvl="discrete">
  <labl>Average maximum temperature 54 months before survey start date</labl>
  <imputation>Average maximum temperature 54 months before survey start date</imputation>
  <security>Average maximum temperature 54 months before survey start date</security>
  <embargo>Average maximum temperature 54 months before survey start date</embargo>
  <respUnit>Average maximum temperature 54 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_53" name="M_TEMPMAX_53" files="M" intrvl="discrete">
  <labl>Average maximum temperature 53 months before survey start date</labl>
  <imputation>Average maximum temperature 53 months before survey start date</imputation>
  <security>Average maximum temperature 53 months before survey start date</security>
  <embargo>Average maximum temperature 53 months before survey start date</embargo>
  <respUnit>Average maximum temperature 53 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_52" name="M_TEMPMAX_52" files="M" intrvl="discrete">
  <labl>Average maximum temperature 52 months before survey start date</labl>
  <imputation>Average maximum temperature 52 months before survey start date</imputation>
  <security>Average maximum temperature 52 months before survey start date</security>
  <embargo>Average maximum temperature 52 months before survey start date</embargo>
  <respUnit>Average maximum temperature 52 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_51" name="M_TEMPMAX_51" files="M" intrvl="discrete">
  <labl>Average maximum temperature 51 months before survey start date</labl>
  <imputation>Average maximum temperature 51 months before survey start date</imputation>
  <security>Average maximum temperature 51 months before survey start date</security>
  <embargo>Average maximum temperature 51 months before survey start date</embargo>
  <respUnit>Average maximum temperature 51 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_50" name="M_TEMPMAX_50" files="M" intrvl="discrete">
  <labl>Average maximum temperature 50 months before survey start date</labl>
  <imputation>Average maximum temperature 50 months before survey start date</imputation>
  <security>Average maximum temperature 50 months before survey start date</security>
  <embargo>Average maximum temperature 50 months before survey start date</embargo>
  <respUnit>Average maximum temperature 50 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_49" name="M_TEMPMAX_49" files="M" intrvl="discrete">
  <labl>Average maximum temperature 49 months before survey start date</labl>
  <imputation>Average maximum temperature 49 months before survey start date</imputation>
  <security>Average maximum temperature 49 months before survey start date</security>
  <embargo>Average maximum temperature 49 months before survey start date</embargo>
  <respUnit>Average maximum temperature 49 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_48" name="M_TEMPMAX_48" files="M" intrvl="discrete">
  <labl>Average maximum temperature 48 months before survey start date</labl>
  <imputation>Average maximum temperature 48 months before survey start date</imputation>
  <security>Average maximum temperature 48 months before survey start date</security>
  <embargo>Average maximum temperature 48 months before survey start date</embargo>
  <respUnit>Average maximum temperature 48 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_47" name="M_TEMPMAX_47" files="M" intrvl="discrete">
  <labl>Average maximum temperature 47 months before survey start date</labl>
  <imputation>Average maximum temperature 47 months before survey start date</imputation>
  <security>Average maximum temperature 47 months before survey start date</security>
  <embargo>Average maximum temperature 47 months before survey start date</embargo>
  <respUnit>Average maximum temperature 47 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_46" name="M_TEMPMAX_46" files="M" intrvl="discrete">
  <labl>Average maximum temperature 46 months before survey start date</labl>
  <imputation>Average maximum temperature 46 months before survey start date</imputation>
  <security>Average maximum temperature 46 months before survey start date</security>
  <embargo>Average maximum temperature 46 months before survey start date</embargo>
  <respUnit>Average maximum temperature 46 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_45" name="M_TEMPMAX_45" files="M" intrvl="discrete">
  <labl>Average maximum temperature 45 months before survey start date</labl>
  <imputation>Average maximum temperature 45 months before survey start date</imputation>
  <security>Average maximum temperature 45 months before survey start date</security>
  <embargo>Average maximum temperature 45 months before survey start date</embargo>
  <respUnit>Average maximum temperature 45 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_44" name="M_TEMPMAX_44" files="M" intrvl="discrete">
  <labl>Average maximum temperature 44 months before survey start date</labl>
  <imputation>Average maximum temperature 44 months before survey start date</imputation>
  <security>Average maximum temperature 44 months before survey start date</security>
  <embargo>Average maximum temperature 44 months before survey start date</embargo>
  <respUnit>Average maximum temperature 44 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_43" name="M_TEMPMAX_43" files="M" intrvl="discrete">
  <labl>Average maximum temperature 43 months before survey start date</labl>
  <imputation>Average maximum temperature 43 months before survey start date</imputation>
  <security>Average maximum temperature 43 months before survey start date</security>
  <embargo>Average maximum temperature 43 months before survey start date</embargo>
  <respUnit>Average maximum temperature 43 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_42" name="M_TEMPMAX_42" files="M" intrvl="discrete">
  <labl>Average maximum temperature 42 months before survey start date</labl>
  <imputation>Average maximum temperature 42 months before survey start date</imputation>
  <security>Average maximum temperature 42 months before survey start date</security>
  <embargo>Average maximum temperature 42 months before survey start date</embargo>
  <respUnit>Average maximum temperature 42 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_41" name="M_TEMPMAX_41" files="M" intrvl="discrete">
  <labl>Average maximum temperature 41 months before survey start date</labl>
  <imputation>Average maximum temperature 41 months before survey start date</imputation>
  <security>Average maximum temperature 41 months before survey start date</security>
  <embargo>Average maximum temperature 41 months before survey start date</embargo>
  <respUnit>Average maximum temperature 41 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_40" name="M_TEMPMAX_40" files="M" intrvl="discrete">
  <labl>Average maximum temperature 40 months before survey start date</labl>
  <imputation>Average maximum temperature 40 months before survey start date</imputation>
  <security>Average maximum temperature 40 months before survey start date</security>
  <embargo>Average maximum temperature 40 months before survey start date</embargo>
  <respUnit>Average maximum temperature 40 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_39" name="M_TEMPMAX_39" files="M" intrvl="discrete">
  <labl>Average maximum temperature 39 months before survey start date</labl>
  <imputation>Average maximum temperature 39 months before survey start date</imputation>
  <security>Average maximum temperature 39 months before survey start date</security>
  <embargo>Average maximum temperature 39 months before survey start date</embargo>
  <respUnit>Average maximum temperature 39 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_38" name="M_TEMPMAX_38" files="M" intrvl="discrete">
  <labl>Average maximum temperature 38 months before survey start date</labl>
  <imputation>Average maximum temperature 38 months before survey start date</imputation>
  <security>Average maximum temperature 38 months before survey start date</security>
  <embargo>Average maximum temperature 38 months before survey start date</embargo>
  <respUnit>Average maximum temperature 38 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_37" name="M_TEMPMAX_37" files="M" intrvl="discrete">
  <labl>Average maximum temperature 37 months before survey start date</labl>
  <imputation>Average maximum temperature 37 months before survey start date</imputation>
  <security>Average maximum temperature 37 months before survey start date</security>
  <embargo>Average maximum temperature 37 months before survey start date</embargo>
  <respUnit>Average maximum temperature 37 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_36" name="M_TEMPMAX_36" files="M" intrvl="discrete">
  <labl>Average maximum temperature 36 months before survey start date</labl>
  <imputation>Average maximum temperature 36 months before survey start date</imputation>
  <security>Average maximum temperature 36 months before survey start date</security>
  <embargo>Average maximum temperature 36 months before survey start date</embargo>
  <respUnit>Average maximum temperature 36 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_35" name="M_TEMPMAX_35" files="M" intrvl="discrete">
  <labl>Average maximum temperature 35 months before survey start date</labl>
  <imputation>Average maximum temperature 35 months before survey start date</imputation>
  <security>Average maximum temperature 35 months before survey start date</security>
  <embargo>Average maximum temperature 35 months before survey start date</embargo>
  <respUnit>Average maximum temperature 35 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_34" name="M_TEMPMAX_34" files="M" intrvl="discrete">
  <labl>Average maximum temperature 34 months before survey start date</labl>
  <imputation>Average maximum temperature 34 months before survey start date</imputation>
  <security>Average maximum temperature 34 months before survey start date</security>
  <embargo>Average maximum temperature 34 months before survey start date</embargo>
  <respUnit>Average maximum temperature 34 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_33" name="M_TEMPMAX_33" files="M" intrvl="discrete">
  <labl>Average maximum temperature 33 months before survey start date</labl>
  <imputation>Average maximum temperature 33 months before survey start date</imputation>
  <security>Average maximum temperature 33 months before survey start date</security>
  <embargo>Average maximum temperature 33 months before survey start date</embargo>
  <respUnit>Average maximum temperature 33 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_32" name="M_TEMPMAX_32" files="M" intrvl="discrete">
  <labl>Average maximum temperature 32 months before survey start date</labl>
  <imputation>Average maximum temperature 32 months before survey start date</imputation>
  <security>Average maximum temperature 32 months before survey start date</security>
  <embargo>Average maximum temperature 32 months before survey start date</embargo>
  <respUnit>Average maximum temperature 32 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_31" name="M_TEMPMAX_31" files="M" intrvl="discrete">
  <labl>Average maximum temperature 31 months before survey start date</labl>
  <imputation>Average maximum temperature 31 months before survey start date</imputation>
  <security>Average maximum temperature 31 months before survey start date</security>
  <embargo>Average maximum temperature 31 months before survey start date</embargo>
  <respUnit>Average maximum temperature 31 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_30" name="M_TEMPMAX_30" files="M" intrvl="discrete">
  <labl>Average maximum temperature 30 months before survey start date</labl>
  <imputation>Average maximum temperature 30 months before survey start date</imputation>
  <security>Average maximum temperature 30 months before survey start date</security>
  <embargo>Average maximum temperature 30 months before survey start date</embargo>
  <respUnit>Average maximum temperature 30 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_29" name="M_TEMPMAX_29" files="M" intrvl="discrete">
  <labl>Average maximum temperature 29 months before survey start date</labl>
  <imputation>Average maximum temperature 29 months before survey start date</imputation>
  <security>Average maximum temperature 29 months before survey start date</security>
  <embargo>Average maximum temperature 29 months before survey start date</embargo>
  <respUnit>Average maximum temperature 29 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_28" name="M_TEMPMAX_28" files="M" intrvl="discrete">
  <labl>Average maximum temperature 28 months before survey start date</labl>
  <imputation>Average maximum temperature 28 months before survey start date</imputation>
  <security>Average maximum temperature 28 months before survey start date</security>
  <embargo>Average maximum temperature 28 months before survey start date</embargo>
  <respUnit>Average maximum temperature 28 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_27" name="M_TEMPMAX_27" files="M" intrvl="discrete">
  <labl>Average maximum temperature 27 months before survey start date</labl>
  <imputation>Average maximum temperature 27 months before survey start date</imputation>
  <security>Average maximum temperature 27 months before survey start date</security>
  <embargo>Average maximum temperature 27 months before survey start date</embargo>
  <respUnit>Average maximum temperature 27 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_26" name="M_TEMPMAX_26" files="M" intrvl="discrete">
  <labl>Average maximum temperature 26 months before survey start date</labl>
  <imputation>Average maximum temperature 26 months before survey start date</imputation>
  <security>Average maximum temperature 26 months before survey start date</security>
  <embargo>Average maximum temperature 26 months before survey start date</embargo>
  <respUnit>Average maximum temperature 26 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_25" name="M_TEMPMAX_25" files="M" intrvl="discrete">
  <labl>Average maximum temperature 25 months before survey start date</labl>
  <imputation>Average maximum temperature 25 months before survey start date</imputation>
  <security>Average maximum temperature 25 months before survey start date</security>
  <embargo>Average maximum temperature 25 months before survey start date</embargo>
  <respUnit>Average maximum temperature 25 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_24" name="M_TEMPMAX_24" files="M" intrvl="discrete">
  <labl>Average maximum temperature 24 months before survey start date</labl>
  <imputation>Average maximum temperature 24 months before survey start date</imputation>
  <security>Average maximum temperature 24 months before survey start date</security>
  <embargo>Average maximum temperature 24 months before survey start date</embargo>
  <respUnit>Average maximum temperature 24 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_23" name="M_TEMPMAX_23" files="M" intrvl="discrete">
  <labl>Average maximum temperature 23 months before survey start date</labl>
  <imputation>Average maximum temperature 23 months before survey start date</imputation>
  <security>Average maximum temperature 23 months before survey start date</security>
  <embargo>Average maximum temperature 23 months before survey start date</embargo>
  <respUnit>Average maximum temperature 23 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_22" name="M_TEMPMAX_22" files="M" intrvl="discrete">
  <labl>Average maximum temperature 22 months before survey start date</labl>
  <imputation>Average maximum temperature 22 months before survey start date</imputation>
  <security>Average maximum temperature 22 months before survey start date</security>
  <embargo>Average maximum temperature 22 months before survey start date</embargo>
  <respUnit>Average maximum temperature 22 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_21" name="M_TEMPMAX_21" files="M" intrvl="discrete">
  <labl>Average maximum temperature 21 months before survey start date</labl>
  <imputation>Average maximum temperature 21 months before survey start date</imputation>
  <security>Average maximum temperature 21 months before survey start date</security>
  <embargo>Average maximum temperature 21 months before survey start date</embargo>
  <respUnit>Average maximum temperature 21 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_20" name="M_TEMPMAX_20" files="M" intrvl="discrete">
  <labl>Average maximum temperature 20 months before survey start date</labl>
  <imputation>Average maximum temperature 20 months before survey start date</imputation>
  <security>Average maximum temperature 20 months before survey start date</security>
  <embargo>Average maximum temperature 20 months before survey start date</embargo>
  <respUnit>Average maximum temperature 20 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_19" name="M_TEMPMAX_19" files="M" intrvl="discrete">
  <labl>Average maximum temperature 19 months before survey start date</labl>
  <imputation>Average maximum temperature 19 months before survey start date</imputation>
  <security>Average maximum temperature 19 months before survey start date</security>
  <embargo>Average maximum temperature 19 months before survey start date</embargo>
  <respUnit>Average maximum temperature 19 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_18" name="M_TEMPMAX_18" files="M" intrvl="discrete">
  <labl>Average maximum temperature 18 months before survey start date</labl>
  <imputation>Average maximum temperature 18 months before survey start date</imputation>
  <security>Average maximum temperature 18 months before survey start date</security>
  <embargo>Average maximum temperature 18 months before survey start date</embargo>
  <respUnit>Average maximum temperature 18 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_17" name="M_TEMPMAX_17" files="M" intrvl="discrete">
  <labl>Average maximum temperature 17 months before survey start date</labl>
  <imputation>Average maximum temperature 17 months before survey start date</imputation>
  <security>Average maximum temperature 17 months before survey start date</security>
  <embargo>Average maximum temperature 17 months before survey start date</embargo>
  <respUnit>Average maximum temperature 17 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_16" name="M_TEMPMAX_16" files="M" intrvl="discrete">
  <labl>Average maximum temperature 16 months before survey start date</labl>
  <imputation>Average maximum temperature 16 months before survey start date</imputation>
  <security>Average maximum temperature 16 months before survey start date</security>
  <embargo>Average maximum temperature 16 months before survey start date</embargo>
  <respUnit>Average maximum temperature 16 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_15" name="M_TEMPMAX_15" files="M" intrvl="discrete">
  <labl>Average maximum temperature 15 months before survey start date</labl>
  <imputation>Average maximum temperature 15 months before survey start date</imputation>
  <security>Average maximum temperature 15 months before survey start date</security>
  <embargo>Average maximum temperature 15 months before survey start date</embargo>
  <respUnit>Average maximum temperature 15 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_14" name="M_TEMPMAX_14" files="M" intrvl="discrete">
  <labl>Average maximum temperature 14 months before survey start date</labl>
  <imputation>Average maximum temperature 14 months before survey start date</imputation>
  <security>Average maximum temperature 14 months before survey start date</security>
  <embargo>Average maximum temperature 14 months before survey start date</embargo>
  <respUnit>Average maximum temperature 14 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_13" name="M_TEMPMAX_13" files="M" intrvl="discrete">
  <labl>Average maximum temperature 13 months before survey start date</labl>
  <imputation>Average maximum temperature 13 months before survey start date</imputation>
  <security>Average maximum temperature 13 months before survey start date</security>
  <embargo>Average maximum temperature 13 months before survey start date</embargo>
  <respUnit>Average maximum temperature 13 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_12" name="M_TEMPMAX_12" files="M" intrvl="discrete">
  <labl>Average maximum temperature 12 months before survey start date</labl>
  <imputation>Average maximum temperature 12 months before survey start date</imputation>
  <security>Average maximum temperature 12 months before survey start date</security>
  <embargo>Average maximum temperature 12 months before survey start date</embargo>
  <respUnit>Average maximum temperature 12 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_11" name="M_TEMPMAX_11" files="M" intrvl="discrete">
  <labl>Average maximum temperature 11 months before survey start date</labl>
  <imputation>Average maximum temperature 11 months before survey start date</imputation>
  <security>Average maximum temperature 11 months before survey start date</security>
  <embargo>Average maximum temperature 11 months before survey start date</embargo>
  <respUnit>Average maximum temperature 11 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_10" name="M_TEMPMAX_10" files="M" intrvl="discrete">
  <labl>Average maximum temperature 10 months before survey start date</labl>
  <imputation>Average maximum temperature 10 months before survey start date</imputation>
  <security>Average maximum temperature 10 months before survey start date</security>
  <embargo>Average maximum temperature 10 months before survey start date</embargo>
  <respUnit>Average maximum temperature 10 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_09" name="M_TEMPMAX_09" files="M" intrvl="discrete">
  <labl>Average maximum temperature 9 months before survey start date</labl>
  <imputation>Average maximum temperature 9 months before survey start date</imputation>
  <security>Average maximum temperature 9 months before survey start date</security>
  <embargo>Average maximum temperature 9 months before survey start date</embargo>
  <respUnit>Average maximum temperature 9 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_08" name="M_TEMPMAX_08" files="M" intrvl="discrete">
  <labl>Average maximum temperature 8 months before survey start date</labl>
  <imputation>Average maximum temperature 8 months before survey start date</imputation>
  <security>Average maximum temperature 8 months before survey start date</security>
  <embargo>Average maximum temperature 8 months before survey start date</embargo>
  <respUnit>Average maximum temperature 8 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_07" name="M_TEMPMAX_07" files="M" intrvl="discrete">
  <labl>Average maximum temperature 7 months before survey start date</labl>
  <imputation>Average maximum temperature 7 months before survey start date</imputation>
  <security>Average maximum temperature 7 months before survey start date</security>
  <embargo>Average maximum temperature 7 months before survey start date</embargo>
  <respUnit>Average maximum temperature 7 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_06" name="M_TEMPMAX_06" files="M" intrvl="discrete">
  <labl>Average maximum temperature 6 months before survey start date</labl>
  <imputation>Average maximum temperature 6 months before survey start date</imputation>
  <security>Average maximum temperature 6 months before survey start date</security>
  <embargo>Average maximum temperature 6 months before survey start date</embargo>
  <respUnit>Average maximum temperature 6 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_05" name="M_TEMPMAX_05" files="M" intrvl="discrete">
  <labl>Average maximum temperature 5 months before survey start date</labl>
  <imputation>Average maximum temperature 5 months before survey start date</imputation>
  <security>Average maximum temperature 5 months before survey start date</security>
  <embargo>Average maximum temperature 5 months before survey start date</embargo>
  <respUnit>Average maximum temperature 5 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_04" name="M_TEMPMAX_04" files="M" intrvl="discrete">
  <labl>Average maximum temperature 4 months before survey start date</labl>
  <imputation>Average maximum temperature 4 months before survey start date</imputation>
  <security>Average maximum temperature 4 months before survey start date</security>
  <embargo>Average maximum temperature 4 months before survey start date</embargo>
  <respUnit>Average maximum temperature 4 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_03" name="M_TEMPMAX_03" files="M" intrvl="discrete">
  <labl>Average maximum temperature 3 months before survey start date</labl>
  <imputation>Average maximum temperature 3 months before survey start date</imputation>
  <security>Average maximum temperature 3 months before survey start date</security>
  <embargo>Average maximum temperature 3 months before survey start date</embargo>
  <respUnit>Average maximum temperature 3 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_02" name="M_TEMPMAX_02" files="M" intrvl="discrete">
  <labl>Average maximum temperature 2 months before survey start date</labl>
  <imputation>Average maximum temperature 2 months before survey start date</imputation>
  <security>Average maximum temperature 2 months before survey start date</security>
  <embargo>Average maximum temperature 2 months before survey start date</embargo>
  <respUnit>Average maximum temperature 2 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_01" name="M_TEMPMAX_01" files="M" intrvl="discrete">
  <labl>Average maximum temperature 1 month before survey start date</labl>
  <imputation>Average maximum temperature 1 month before survey start date</imputation>
  <security>Average maximum temperature 1 month before survey start date</security>
  <embargo>Average maximum temperature 1 month before survey start date</embargo>
  <respUnit>Average maximum temperature 1 month before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_00" name="M_TEMPMAX_00" files="M" intrvl="discrete">
  <labl>Average maximum temperature month of survey start date</labl>
  <imputation>Average maximum temperature month of survey start date</imputation>
  <security>Average maximum temperature month of survey start date</security>
  <embargo>Average maximum temperature month of survey start date</embargo>
  <respUnit>Average maximum temperature month of survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_A01" name="M_TEMPMAX_A01" files="M" intrvl="discrete">
  <labl>Average maximum temperature 1 month after survey start date</labl>
  <imputation>Average maximum temperature 1 month after survey start date</imputation>
  <security>Average maximum temperature 1 month after survey start date</security>
  <embargo>Average maximum temperature 1 month after survey start date</embargo>
  <respUnit>Average maximum temperature 1 month after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_A02" name="M_TEMPMAX_A02" files="M" intrvl="discrete">
  <labl>Average maximum temperature 2 months after survey start date</labl>
  <imputation>Average maximum temperature 2 months after survey start date</imputation>
  <security>Average maximum temperature 2 months after survey start date</security>
  <embargo>Average maximum temperature 2 months after survey start date</embargo>
  <respUnit>Average maximum temperature 2 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_A03" name="M_TEMPMAX_A03" files="M" intrvl="discrete">
  <labl>Average maximum temperature 3 months after survey start date</labl>
  <imputation>Average maximum temperature 3 months after survey start date</imputation>
  <security>Average maximum temperature 3 months after survey start date</security>
  <embargo>Average maximum temperature 3 months after survey start date</embargo>
  <respUnit>Average maximum temperature 3 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_A04" name="M_TEMPMAX_A04" files="M" intrvl="discrete">
  <labl>Average maximum temperature 4 months after survey start date</labl>
  <imputation>Average maximum temperature 4 months after survey start date</imputation>
  <security>Average maximum temperature 4 months after survey start date</security>
  <embargo>Average maximum temperature 4 months after survey start date</embargo>
  <respUnit>Average maximum temperature 4 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_A05" name="M_TEMPMAX_A05" files="M" intrvl="discrete">
  <labl>Average maximum temperature 5 months after survey start date</labl>
  <imputation>Average maximum temperature 5 months after survey start date</imputation>
  <security>Average maximum temperature 5 months after survey start date</security>
  <embargo>Average maximum temperature 5 months after survey start date</embargo>
  <respUnit>Average maximum temperature 5 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_A06" name="M_TEMPMAX_A06" files="M" intrvl="discrete">
  <labl>Average maximum temperature 6 months after survey start date</labl>
  <imputation>Average maximum temperature 6 months after survey start date</imputation>
  <security>Average maximum temperature 6 months after survey start date</security>
  <embargo>Average maximum temperature 6 months after survey start date</embargo>
  <respUnit>Average maximum temperature 6 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_A07" name="M_TEMPMAX_A07" files="M" intrvl="discrete">
  <labl>Average maximum temperature 7 months after survey start date</labl>
  <imputation>Average maximum temperature 7 months after survey start date</imputation>
  <security>Average maximum temperature 7 months after survey start date</security>
  <embargo>Average maximum temperature 7 months after survey start date</embargo>
  <respUnit>Average maximum temperature 7 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_A08" name="M_TEMPMAX_A08" files="M" intrvl="discrete">
  <labl>Average maximum temperature 8 months after survey start date</labl>
  <imputation>Average maximum temperature 8 months after survey start date</imputation>
  <security>Average maximum temperature 8 months after survey start date</security>
  <embargo>Average maximum temperature 8 months after survey start date</embargo>
  <respUnit>Average maximum temperature 8 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_A09" name="M_TEMPMAX_A09" files="M" intrvl="discrete">
  <labl>Average maximum temperature 9 months after survey start date</labl>
  <imputation>Average maximum temperature 9 months after survey start date</imputation>
  <security>Average maximum temperature 9 months after survey start date</security>
  <embargo>Average maximum temperature 9 months after survey start date</embargo>
  <respUnit>Average maximum temperature 9 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_A10" name="M_TEMPMAX_A10" files="M" intrvl="discrete">
  <labl>Average maximum temperature 10 months after survey start date</labl>
  <imputation>Average maximum temperature 10 months after survey start date</imputation>
  <security>Average maximum temperature 10 months after survey start date</security>
  <embargo>Average maximum temperature 10 months after survey start date</embargo>
  <respUnit>Average maximum temperature 10 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_TEMPMAX_A11" name="M_TEMPMAX_A11" files="M" intrvl="discrete">
  <labl>Average maximum temperature 11 months after survey start date</labl>
  <imputation>Average maximum temperature 11 months after survey start date</imputation>
  <security>Average maximum temperature 11 months after survey start date</security>
  <embargo>Average maximum temperature 11 months after survey start date</embargo>
  <respUnit>Average maximum temperature 11 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_POPDENSITY" name="M_POPDENSITY" files="M" intrvl="discrete">
  <labl>Population density quinquennial time-series (2000-2020)</labl>
  <imputation>Population density quinquennial time-series (2000-2020)</imputation>
  <security>Population density quinquennial time-series (2000-2020)</security>
  <embargo>Population density quinquennial time-series (2000-2020)</embargo>
  <respUnit>Population density quinquennial time-series (2000-2020)</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>POPDENSITY available</labl>
  </catgry>
  <txt>POPDENSITY consists of a set of 5 separate variables. These variables report the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2000, 2005, 2010, 2015, and 2020. By adding POPDENSITY to your data cart, you are in effect adding 5 separate variables (POPDENSITY_2000 - POPDENSITY_2020), one variable for each month. Values for POPDENSITY are based onÂ population projections from the results of the 2000 and 2010 rounds of censuses.

POPDENSITY variables can be used as indicators of urban versus rural status, with the cut-off levels for these categories decided by the researcher, for greater consistency in measurement than the DHS URBAN variable. 

POPDENSITY, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_POPDENSITY_2000" name="M_POPDENSITY_2000" files="M" intrvl="discrete">
  <labl>Population density 2000</labl>
  <imputation>Population density 2000</imputation>
  <security>Population density 2000</security>
  <embargo>Population density 2000</embargo>
  <respUnit>Population density 2000</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POPDENSITY_2000 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2000. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2000 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2000 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2000  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_POPDENSITY_2005" name="M_POPDENSITY_2005" files="M" intrvl="discrete">
  <labl>Population density 2005</labl>
  <imputation>Population density 2005</imputation>
  <security>Population density 2005</security>
  <embargo>Population density 2005</embargo>
  <respUnit>Population density 2005</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POPDENSITY_2005 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2005. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2005 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2005 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2005  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_POPDENSITY_2010" name="M_POPDENSITY_2010" files="M" intrvl="discrete">
  <labl>Population density 2010</labl>
  <imputation>Population density 2010</imputation>
  <security>Population density 2010</security>
  <embargo>Population density 2010</embargo>
  <respUnit>Population density 2010</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POPDENSITY_2010 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2010. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2010 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2010 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2010  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_POPDENSITY_2015" name="M_POPDENSITY_2015" files="M" intrvl="discrete">
  <labl>Population density 2015</labl>
  <imputation>Population density 2015</imputation>
  <security>Population density 2015</security>
  <embargo>Population density 2015</embargo>
  <respUnit>Population density 2015</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POPDENSITY_2015 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2015. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2015 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2015 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2015  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_POPDENSITY_2020" name="M_POPDENSITY_2020" files="M" intrvl="discrete">
  <labl>Population density 2020</labl>
  <imputation>Population density 2020</imputation>
  <security>Population density 2020</security>
  <embargo>Population density 2020</embargo>
  <respUnit>Population density 2020</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POPDENSITY_2020 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2020. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2020 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2020 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. Values for POPDENSITY_2020 are based on population projections from the results of the 2010 round of censuses, which occurred between 2005 and 2014.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2020  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_BARLEY_H" name="M_BARLEY_H" files="M" intrvl="discrete">
  <labl>Harvested area barley (in 2000)</labl>
  <imputation>Harvested area barley (in 2000)</imputation>
  <security>Harvested area barley (in 2000)</security>
  <embargo>Harvested area barley (in 2000)</embargo>
  <respUnit>Harvested area barley (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>BARLEY_H reports total harvested area dedicated to barley, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in BARLEY_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable BARLEY_P reports total crop production of barley, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

BARLEY_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_CASSAVA_H" name="M_CASSAVA_H" files="M" intrvl="discrete">
  <labl>Harvested area cassava (in 2000)</labl>
  <imputation>Harvested area cassava (in 2000)</imputation>
  <security>Harvested area cassava (in 2000)</security>
  <embargo>Harvested area cassava (in 2000)</embargo>
  <respUnit>Harvested area cassava (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>CASSAVA_H reports total harvested area dedicated to cassava, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in CASSAVA_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable CASSAVA_P reports total crop production of cassava, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

CASSAVA_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_COTTON_H" name="M_COTTON_H" files="M" intrvl="discrete">
  <labl>Harvested area cotton (in 2000)</labl>
  <imputation>Harvested area cotton (in 2000)</imputation>
  <security>Harvested area cotton (in 2000)</security>
  <embargo>Harvested area cotton (in 2000)</embargo>
  <respUnit>Harvested area cotton (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>COTTON_H reports total harvested area dedicated to cotton, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in COTTON_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable COTTON_P reports total crop production of cotton, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

COTTON_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_GROUNDNUT_H" name="M_GROUNDNUT_H" files="M" intrvl="discrete">
  <labl>Harvested area groundnuts (in 2000)</labl>
  <imputation>Harvested area groundnuts (in 2000)</imputation>
  <security>Harvested area groundnuts (in 2000)</security>
  <embargo>Harvested area groundnuts (in 2000)</embargo>
  <respUnit>Harvested area groundnuts (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>GROUNDNUT_H reports total harvested area dedicated to groundnuts, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in GROUNDNUT_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable GROUNDNUT_P reports total crop production of groundnuts, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

GROUNDNUT_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_MAIZE_H" name="M_MAIZE_H" files="M" intrvl="discrete">
  <labl>Harvested area maize (in 2000)</labl>
  <imputation>Harvested area maize (in 2000)</imputation>
  <security>Harvested area maize (in 2000)</security>
  <embargo>Harvested area maize (in 2000)</embargo>
  <respUnit>Harvested area maize (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>MAIZE_H reports total harvested area dedicated to maize, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in MAIZE_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable MAIZE_P reports total crop production of maize, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

MAIZE_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_MILLET_H" name="M_MILLET_H" files="M" intrvl="discrete">
  <labl>Harvested area millet (in 2000)</labl>
  <imputation>Harvested area millet (in 2000)</imputation>
  <security>Harvested area millet (in 2000)</security>
  <embargo>Harvested area millet (in 2000)</embargo>
  <respUnit>Harvested area millet (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>MILLET_H reports total harvested area dedicated to millet, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in MILLET_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable MILLET_P reports total crop production of millet, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

MILLET_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_OILPALM_H" name="M_OILPALM_H" files="M" intrvl="discrete">
  <labl>Harvested area oilpalm (in 2000)</labl>
  <imputation>Harvested area oilpalm (in 2000)</imputation>
  <security>Harvested area oilpalm (in 2000)</security>
  <embargo>Harvested area oilpalm (in 2000)</embargo>
  <respUnit>Harvested area oilpalm (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>OILPALM_H reports total harvested area dedicated to oil palm, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in OILPALM_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable OILPALM_P reports total crop production of oil palm, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

OILPALM_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_POTATO_H" name="M_POTATO_H" files="M" intrvl="discrete">
  <labl>Harvested area potatoes (in 2000)</labl>
  <imputation>Harvested area potatoes (in 2000)</imputation>
  <security>Harvested area potatoes (in 2000)</security>
  <embargo>Harvested area potatoes (in 2000)</embargo>
  <respUnit>Harvested area potatoes (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POTATO_H reports total harvested area dedicated to potatoes, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in POTATO_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable POTATO_P reports total crop production of potatoes, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

POTATO_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_RAPESEED_H" name="M_RAPESEED_H" files="M" intrvl="discrete">
  <labl>Harvested area rapeseed (in 2000)</labl>
  <imputation>Harvested area rapeseed (in 2000)</imputation>
  <security>Harvested area rapeseed (in 2000)</security>
  <embargo>Harvested area rapeseed (in 2000)</embargo>
  <respUnit>Harvested area rapeseed (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RAPESEED_H reports total harvested area dedicated to rapeseed, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in RAPESEED_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable RAPESEED_P reports total crop production of rapeseed, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RAPESEED_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_RICE_H" name="M_RICE_H" files="M" intrvl="discrete">
  <labl>Harvested area rice (in 2000)</labl>
  <imputation>Harvested area rice (in 2000)</imputation>
  <security>Harvested area rice (in 2000)</security>
  <embargo>Harvested area rice (in 2000)</embargo>
  <respUnit>Harvested area rice (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RICE_H reports total harvested area dedicated to rice, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in RICE_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable RICE_P reports total crop production of rice, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RICE_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_SORGHUM_H" name="M_SORGHUM_H" files="M" intrvl="discrete">
  <labl>Harvested area sorghum (in 2000)</labl>
  <imputation>Harvested area sorghum (in 2000)</imputation>
  <security>Harvested area sorghum (in 2000)</security>
  <embargo>Harvested area sorghum (in 2000)</embargo>
  <respUnit>Harvested area sorghum (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SORGHUM_H reports total harvested area dedicated to sorghum, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in SORGHUM_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable SORGHUM_P reports total crop production of sorghum, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SORGHUM_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_SOYBEAN_H" name="M_SOYBEAN_H" files="M" intrvl="discrete">
  <labl>Harvested area soybeans (in 2000)</labl>
  <imputation>Harvested area soybeans (in 2000)</imputation>
  <security>Harvested area soybeans (in 2000)</security>
  <embargo>Harvested area soybeans (in 2000)</embargo>
  <respUnit>Harvested area soybeans (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SOYBEAN_H reports total harvested area dedicated to soybeans, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in SOYBEAN_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable SOYBEAN_P reports total crop production of soybean, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SOYBEAN_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_SUGARBEET_H" name="M_SUGARBEET_H" files="M" intrvl="discrete">
  <labl>Harvested area sugarbeets (in 2000)</labl>
  <imputation>Harvested area sugarbeets (in 2000)</imputation>
  <security>Harvested area sugarbeets (in 2000)</security>
  <embargo>Harvested area sugarbeets (in 2000)</embargo>
  <respUnit>Harvested area sugarbeets (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUGARBEET_H reports total harvested area dedicated to sugar beets, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUGARBEET_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable SUGARBEET_P reports total crop production of sugar beets, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUGARBEET_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_SUGARCANE_H" name="M_SUGARCANE_H" files="M" intrvl="discrete">
  <labl>Harvested area sugarcane (in 2000)</labl>
  <imputation>Harvested area sugarcane (in 2000)</imputation>
  <security>Harvested area sugarcane (in 2000)</security>
  <embargo>Harvested area sugarcane (in 2000)</embargo>
  <respUnit>Harvested area sugarcane (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUGARCANE_H reports total harvested area dedicated to sugar cane, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUGARCANE_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable SUGARCANE_P reports total crop production of sugar cane, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUGARCANE_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_SUNFLOWER_H" name="M_SUNFLOWER_H" files="M" intrvl="discrete">
  <labl>Harvested area sunflowers (in 2000)</labl>
  <imputation>Harvested area sunflowers (in 2000)</imputation>
  <security>Harvested area sunflowers (in 2000)</security>
  <embargo>Harvested area sunflowers (in 2000)</embargo>
  <respUnit>Harvested area sunflowers (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUNFLOWER_H reports total harvested area dedicated to sunflowers, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUNFLOWER_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable SUNFLOWER_P reports total crop production of sunflowers, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUNFLOWER_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_WHEAT_H" name="M_WHEAT_H" files="M" intrvl="discrete">
  <labl>Harvested area wheat (in 2000)</labl>
  <imputation>Harvested area wheat (in 2000)</imputation>
  <security>Harvested area wheat (in 2000)</security>
  <embargo>Harvested area wheat (in 2000)</embargo>
  <respUnit>Harvested area wheat (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>WHEAT_H reports total harvested area dedicated to wheat, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in WHEAT_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable WHEAT_P reports total crop production of wheat, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

WHEAT_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_RYE_H" name="M_RYE_H" files="M" intrvl="discrete">
  <labl>Harvested area rye (in 2000)</labl>
  <imputation>Harvested area rye (in 2000)</imputation>
  <security>Harvested area rye (in 2000)</security>
  <embargo>Harvested area rye (in 2000)</embargo>
  <respUnit>Harvested area rye (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RYE_H reports total harvested area dedicated to rye, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in RYE_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable RYE_P reports total crop production of rye, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RYE_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_BARLEY_P" name="M_BARLEY_P" files="M" intrvl="discrete">
  <labl>Total barley production (in 2000)</labl>
  <imputation>Total barley production (in 2000)</imputation>
  <security>Total barley production (in 2000)</security>
  <embargo>Total barley production (in 2000)</embargo>
  <respUnit>Total barley production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>BARLEY_P reports the total crop production of barley, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in BARLEY_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable BARLEY_H reports the total harvested area dedicated to barley, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

BARLEY_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_CASSAVA_P" name="M_CASSAVA_P" files="M" intrvl="discrete">
  <labl>Total cassava production (in 2000)</labl>
  <imputation>Total cassava production (in 2000)</imputation>
  <security>Total cassava production (in 2000)</security>
  <embargo>Total cassava production (in 2000)</embargo>
  <respUnit>Total cassava production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>CASSAVA_P reports the total crop production of cassava, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in CASSAVA_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable CASSAVA_H reports the total harvested area dedicated to cassava, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

CASSAVA_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_COTTON_P" name="M_COTTON_P" files="M" intrvl="discrete">
  <labl>Total cotton production (in 2000)</labl>
  <imputation>Total cotton production (in 2000)</imputation>
  <security>Total cotton production (in 2000)</security>
  <embargo>Total cotton production (in 2000)</embargo>
  <respUnit>Total cotton production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>COTTON_P reports the total crop production of cotton, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in COTTON_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable COTTON_H reports the total harvested area dedicated to cotton, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

COTTON_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_GROUNDNUT_P" name="M_GROUNDNUT_P" files="M" intrvl="discrete">
  <labl>Total groundnut production (in 2000)</labl>
  <imputation>Total groundnut production (in 2000)</imputation>
  <security>Total groundnut production (in 2000)</security>
  <embargo>Total groundnut production (in 2000)</embargo>
  <respUnit>Total groundnut production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>GROUNDNUT_P reports the total crop production of groundnuts, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in GROUNDNUT_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable GROUNDNUT_H reports the total harvested area dedicated to groundnuts, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

GROUNDNUT_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_MAIZE_P" name="M_MAIZE_P" files="M" intrvl="discrete">
  <labl>Total maize production (in 2000)</labl>
  <imputation>Total maize production (in 2000)</imputation>
  <security>Total maize production (in 2000)</security>
  <embargo>Total maize production (in 2000)</embargo>
  <respUnit>Total maize production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>MAIZE_P reports the total crop production of maize, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in MAIZE_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable MAIZE_H reports the total harvested area dedicated to maize, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

MAIZE_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_MILLET_P" name="M_MILLET_P" files="M" intrvl="discrete">
  <labl>Total millet production (in 2000)</labl>
  <imputation>Total millet production (in 2000)</imputation>
  <security>Total millet production (in 2000)</security>
  <embargo>Total millet production (in 2000)</embargo>
  <respUnit>Total millet production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>MILLET_P reports the total crop production of millet, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in MILLET_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable MILLET_H reports the total harvested area dedicated to millet, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

MILLET_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_OILPALM_P" name="M_OILPALM_P" files="M" intrvl="discrete">
  <labl>Total oilpalm production (in 2000)</labl>
  <imputation>Total oilpalm production (in 2000)</imputation>
  <security>Total oilpalm production (in 2000)</security>
  <embargo>Total oilpalm production (in 2000)</embargo>
  <respUnit>Total oilpalm production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>OILPALM_P reports the total crop production of oil palm, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in OILPALM_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable OILPALM_H reports the total harvested area dedicated to oil palm, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

OILPALM_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_POTATO_P" name="M_POTATO_P" files="M" intrvl="discrete">
  <labl>Total potato production (in 2000)</labl>
  <imputation>Total potato production (in 2000)</imputation>
  <security>Total potato production (in 2000)</security>
  <embargo>Total potato production (in 2000)</embargo>
  <respUnit>Total potato production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POTATO_P reports the total crop production of potatoes, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in POTATO_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable POTATO_H reports the total harvested area dedicated to potatoes, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

POTATO_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_RAPESEED_P" name="M_RAPESEED_P" files="M" intrvl="discrete">
  <labl>Total rapeseed production (in 2000)</labl>
  <imputation>Total rapeseed production (in 2000)</imputation>
  <security>Total rapeseed production (in 2000)</security>
  <embargo>Total rapeseed production (in 2000)</embargo>
  <respUnit>Total rapeseed production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RAPESEED_P reports the total crop production of rapeseed, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RAPESEED_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable RAPESEED_H reports the total harvested area dedicated to rapeseed, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RAPESEED_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_RICE_P" name="M_RICE_P" files="M" intrvl="discrete">
  <labl>Total rice production (in 2000)</labl>
  <imputation>Total rice production (in 2000)</imputation>
  <security>Total rice production (in 2000)</security>
  <embargo>Total rice production (in 2000)</embargo>
  <respUnit>Total rice production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RICE_P reports the total crop production of rice, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RICE_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable RICE_H reports the total harvested area dedicated to rice, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RICE_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_SORGHUM_P" name="M_SORGHUM_P" files="M" intrvl="discrete">
  <labl>Total sorghum production (in 2000)</labl>
  <imputation>Total sorghum production (in 2000)</imputation>
  <security>Total sorghum production (in 2000)</security>
  <embargo>Total sorghum production (in 2000)</embargo>
  <respUnit>Total sorghum production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SORGHUM_P reports the total crop production of sorghum, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SORGHUM_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable SORGHUM_H reports the total harvested area dedicated to sorghum, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SORGHUM_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_SOYBEAN_P" name="M_SOYBEAN_P" files="M" intrvl="discrete">
  <labl>Total soybean production (in 2000)</labl>
  <imputation>Total soybean production (in 2000)</imputation>
  <security>Total soybean production (in 2000)</security>
  <embargo>Total soybean production (in 2000)</embargo>
  <respUnit>Total soybean production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SOYBEAN_P reports the total crop production of soybeans, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SOYBEAN_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable SOYBEAN_H reports the total harvested area dedicated to soybeans, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SOYBEAN_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_SUGARBEET_P" name="M_SUGARBEET_P" files="M" intrvl="discrete">
  <labl>Total sugarbeet production (in 2000)</labl>
  <imputation>Total sugarbeet production (in 2000)</imputation>
  <security>Total sugarbeet production (in 2000)</security>
  <embargo>Total sugarbeet production (in 2000)</embargo>
  <respUnit>Total sugarbeet production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUGARBEET_P reports the total crop production of sugar beets, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUGARBEET_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable SUGARBEET_H reports the total harvested area dedicated to sugar beets, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUGARBEET_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_SUGARCANE_P" name="M_SUGARCANE_P" files="M" intrvl="discrete">
  <labl>Total sugarcane production (in 2000)</labl>
  <imputation>Total sugarcane production (in 2000)</imputation>
  <security>Total sugarcane production (in 2000)</security>
  <embargo>Total sugarcane production (in 2000)</embargo>
  <respUnit>Total sugarcane production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUGARCANE_P reports the total crop production of sugar cane, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUGARCANE_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable SUGARCANE_H reports the total harvested area dedicated to sugar cane, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUGARCANE_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_SUNFLOWER_P" name="M_SUNFLOWER_P" files="M" intrvl="discrete">
  <labl>Total sunflower production (in 2000)</labl>
  <imputation>Total sunflower production (in 2000)</imputation>
  <security>Total sunflower production (in 2000)</security>
  <embargo>Total sunflower production (in 2000)</embargo>
  <respUnit>Total sunflower production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUNFLOWER_P reports the total crop production of sunflowers, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUNFLOWER_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable SUNFLOWER_H reports the total harvested area dedicated to sunflowers, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUNFLOWER_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_WHEAT_P" name="M_WHEAT_P" files="M" intrvl="discrete">
  <labl>Total wheat production (in 2000)</labl>
  <imputation>Total wheat production (in 2000)</imputation>
  <security>Total wheat production (in 2000)</security>
  <embargo>Total wheat production (in 2000)</embargo>
  <respUnit>Total wheat production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>WHEAT_P reports the total crop production of wheat, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in WHEAT_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable WHEAT_H reports the total harvested area dedicated to wheat, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

WHEAT_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="M_RYE_P" name="M_RYE_P" files="M" intrvl="discrete">
  <labl>Total rye production (in 2000)</labl>
  <imputation>Total rye production (in 2000)</imputation>
  <security>Total rye production (in 2000)</security>
  <embargo>Total rye production (in 2000)</embargo>
  <respUnit>Total rye production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RYE_P reports the total crop production of rye, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RYE_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable RYE_H reports the total harvested area dedicated to rye, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RYE_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_SAMPLE" name="H_SAMPLE" files="H" intrvl="discrete">
  <labl>IPUMS-DHS sample identifier</labl>
  <imputation>IPUMS-DHS sample identifier</imputation>
  <security>IPUMS-DHS sample identifier</security>
  <embargo>IPUMS-DHS sample identifier</embargo>
  <respUnit>IPUMS-DHS sample identifier</respUnit>
  <catgry>
    <catValu>00101</catValu>
    <labl>Model 2015</labl>
  </catgry>
  <catgry>
    <catValu>00401</catValu>
    <labl>Afghanistan 2015</labl>
  </catgry>
  <catgry>
    <catValu>02401</catValu>
    <labl>Angola 2015</labl>
  </catgry>
  <catgry>
    <catValu>05001</catValu>
    <labl>Bangladesh 1994</labl>
  </catgry>
  <catgry>
    <catValu>05002</catValu>
    <labl>Bangladesh 1996-97</labl>
  </catgry>
  <catgry>
    <catValu>05003</catValu>
    <labl>Bangladesh 1999-00</labl>
  </catgry>
  <catgry>
    <catValu>05004</catValu>
    <labl>Bangladesh 2004</labl>
  </catgry>
  <catgry>
    <catValu>05005</catValu>
    <labl>Bangladesh 2007</labl>
  </catgry>
  <catgry>
    <catValu>05006</catValu>
    <labl>Bangladesh 2011</labl>
  </catgry>
  <catgry>
    <catValu>05007</catValu>
    <labl>Bangladesh 2014</labl>
  </catgry>
  <catgry>
    <catValu>10401</catValu>
    <labl>Myanmar 2015</labl>
  </catgry>
  <catgry>
    <catValu>10801</catValu>
    <labl>Burundi 1987</labl>
  </catgry>
  <catgry>
    <catValu>10802</catValu>
    <labl>Burundi 2010</labl>
  </catgry>
  <catgry>
    <catValu>10803</catValu>
    <labl>Burundi 2016</labl>
  </catgry>
  <catgry>
    <catValu>11601</catValu>
    <labl>Cambodia 2000</labl>
  </catgry>
  <catgry>
    <catValu>11602</catValu>
    <labl>Cambodia 2005</labl>
  </catgry>
  <catgry>
    <catValu>11603</catValu>
    <labl>Cambodia 2010</labl>
  </catgry>
  <catgry>
    <catValu>11604</catValu>
    <labl>Cambodia 2014</labl>
  </catgry>
  <catgry>
    <catValu>12001</catValu>
    <labl>Cameroon 1991</labl>
  </catgry>
  <catgry>
    <catValu>12002</catValu>
    <labl>Cameroon 1998</labl>
  </catgry>
  <catgry>
    <catValu>12003</catValu>
    <labl>Cameroon 2004</labl>
  </catgry>
  <catgry>
    <catValu>12004</catValu>
    <labl>Cameroon 2011</labl>
  </catgry>
  <catgry>
    <catValu>14801</catValu>
    <labl>Chad 1996-97</labl>
  </catgry>
  <catgry>
    <catValu>14802</catValu>
    <labl>Chad 2004</labl>
  </catgry>
  <catgry>
    <catValu>14803</catValu>
    <labl>Chad 2014</labl>
  </catgry>
  <catgry>
    <catValu>18001</catValu>
    <labl>Congo Democratic Republic 2007</labl>
  </catgry>
  <catgry>
    <catValu>18002</catValu>
    <labl>Congo Democratic Republic 2013-14</labl>
  </catgry>
  <catgry>
    <catValu>20401</catValu>
    <labl>Benin 1996</labl>
  </catgry>
  <catgry>
    <catValu>20402</catValu>
    <labl>Benin 2001</labl>
  </catgry>
  <catgry>
    <catValu>20403</catValu>
    <labl>Benin 2006</labl>
  </catgry>
  <catgry>
    <catValu>20404</catValu>
    <labl>Benin 2011</labl>
  </catgry>
  <catgry>
    <catValu>23101</catValu>
    <labl>Ethiopia 2000</labl>
  </catgry>
  <catgry>
    <catValu>23102</catValu>
    <labl>Ethiopia 2005</labl>
  </catgry>
  <catgry>
    <catValu>23103</catValu>
    <labl>Ethiopia 2011</labl>
  </catgry>
  <catgry>
    <catValu>23104</catValu>
    <labl>Ethiopia 2016</labl>
  </catgry>
  <catgry>
    <catValu>28801</catValu>
    <labl>Ghana 1988</labl>
  </catgry>
  <catgry>
    <catValu>28802</catValu>
    <labl>Ghana 1993</labl>
  </catgry>
  <catgry>
    <catValu>28803</catValu>
    <labl>Ghana 1998</labl>
  </catgry>
  <catgry>
    <catValu>28804</catValu>
    <labl>Ghana 2003</labl>
  </catgry>
  <catgry>
    <catValu>28805</catValu>
    <labl>Ghana 2008</labl>
  </catgry>
  <catgry>
    <catValu>28806</catValu>
    <labl>Ghana 2014</labl>
  </catgry>
  <catgry>
    <catValu>32001</catValu>
    <labl>Guatemala 1987</labl>
  </catgry>
  <catgry>
    <catValu>32002</catValu>
    <labl>Guatemala 1995</labl>
  </catgry>
  <catgry>
    <catValu>32003</catValu>
    <labl>Guatemala 2015</labl>
  </catgry>
  <catgry>
    <catValu>32401</catValu>
    <labl>Guinea 1999</labl>
  </catgry>
  <catgry>
    <catValu>32402</catValu>
    <labl>Guinea 2005</labl>
  </catgry>
  <catgry>
    <catValu>32403</catValu>
    <labl>Guinea 2012</labl>
  </catgry>
  <catgry>
    <catValu>35601</catValu>
    <labl>India 1992-93</labl>
  </catgry>
  <catgry>
    <catValu>35602</catValu>
    <labl>India 1998-99</labl>
  </catgry>
  <catgry>
    <catValu>35603</catValu>
    <labl>India 2005-06</labl>
  </catgry>
  <catgry>
    <catValu>35604</catValu>
    <labl>India 2015-16</labl>
  </catgry>
  <catgry>
    <catValu>38401</catValu>
    <labl>Cote d'Ivoire 1994</labl>
  </catgry>
  <catgry>
    <catValu>38402</catValu>
    <labl>Cote d'Ivoire 1998</labl>
  </catgry>
  <catgry>
    <catValu>38403</catValu>
    <labl>Cote d'Ivoire 2011</labl>
  </catgry>
  <catgry>
    <catValu>40001</catValu>
    <labl>Jordan 1990</labl>
  </catgry>
  <catgry>
    <catValu>40002</catValu>
    <labl>Jordan 1997</labl>
  </catgry>
  <catgry>
    <catValu>40003</catValu>
    <labl>Jordan 2002</labl>
  </catgry>
  <catgry>
    <catValu>40004</catValu>
    <labl>Jordan 2007</labl>
  </catgry>
  <catgry>
    <catValu>40005</catValu>
    <labl>Jordan 2009</labl>
  </catgry>
  <catgry>
    <catValu>40006</catValu>
    <labl>Jordan 2012</labl>
  </catgry>
  <catgry>
    <catValu>40007</catValu>
    <labl>Jordan 2017-18</labl>
  </catgry>
  <catgry>
    <catValu>40401</catValu>
    <labl>Kenya 1989</labl>
  </catgry>
  <catgry>
    <catValu>40402</catValu>
    <labl>Kenya 1993</labl>
  </catgry>
  <catgry>
    <catValu>40403</catValu>
    <labl>Kenya 1998</labl>
  </catgry>
  <catgry>
    <catValu>40404</catValu>
    <labl>Kenya 2003</labl>
  </catgry>
  <catgry>
    <catValu>40405</catValu>
    <labl>Kenya 2008-9</labl>
  </catgry>
  <catgry>
    <catValu>40406</catValu>
    <labl>Kenya 2014</labl>
  </catgry>
  <catgry>
    <catValu>42601</catValu>
    <labl>Lesotho 2004</labl>
  </catgry>
  <catgry>
    <catValu>42602</catValu>
    <labl>Lesotho 2009</labl>
  </catgry>
  <catgry>
    <catValu>42603</catValu>
    <labl>Lesotho 2014</labl>
  </catgry>
  <catgry>
    <catValu>45001</catValu>
    <labl>Madagascar 1992</labl>
  </catgry>
  <catgry>
    <catValu>45002</catValu>
    <labl>Madagascar 1997</labl>
  </catgry>
  <catgry>
    <catValu>45003</catValu>
    <labl>Madagascar 2003</labl>
  </catgry>
  <catgry>
    <catValu>45004</catValu>
    <labl>Madagascar 2008</labl>
  </catgry>
  <catgry>
    <catValu>45401</catValu>
    <labl>Malawi 1992</labl>
  </catgry>
  <catgry>
    <catValu>45402</catValu>
    <labl>Malawi 2000</labl>
  </catgry>
  <catgry>
    <catValu>45403</catValu>
    <labl>Malawi 2004</labl>
  </catgry>
  <catgry>
    <catValu>45404</catValu>
    <labl>Malawi 2010</labl>
  </catgry>
  <catgry>
    <catValu>45405</catValu>
    <labl>Malawi 2016</labl>
  </catgry>
  <catgry>
    <catValu>46601</catValu>
    <labl>Mali 1987</labl>
  </catgry>
  <catgry>
    <catValu>46602</catValu>
    <labl>Mali 1995-6</labl>
  </catgry>
  <catgry>
    <catValu>46603</catValu>
    <labl>Mali 2001</labl>
  </catgry>
  <catgry>
    <catValu>46604</catValu>
    <labl>Mali 2006</labl>
  </catgry>
  <catgry>
    <catValu>46605</catValu>
    <labl>Mali 2012</labl>
  </catgry>
  <catgry>
    <catValu>50401</catValu>
    <labl>Morocco 1987</labl>
  </catgry>
  <catgry>
    <catValu>50402</catValu>
    <labl>Morocco 1992</labl>
  </catgry>
  <catgry>
    <catValu>50403</catValu>
    <labl>Morocco 2003</labl>
  </catgry>
  <catgry>
    <catValu>50801</catValu>
    <labl>Mozambique 1997</labl>
  </catgry>
  <catgry>
    <catValu>50802</catValu>
    <labl>Mozambique 2003</labl>
  </catgry>
  <catgry>
    <catValu>50803</catValu>
    <labl>Mozambique 2011</labl>
  </catgry>
  <catgry>
    <catValu>51601</catValu>
    <labl>Namibia 1992</labl>
  </catgry>
  <catgry>
    <catValu>51602</catValu>
    <labl>Namibia 2000</labl>
  </catgry>
  <catgry>
    <catValu>51603</catValu>
    <labl>Namibia 2006</labl>
  </catgry>
  <catgry>
    <catValu>51604</catValu>
    <labl>Namibia 2013</labl>
  </catgry>
  <catgry>
    <catValu>52401</catValu>
    <labl>Nepal 1996</labl>
  </catgry>
  <catgry>
    <catValu>52402</catValu>
    <labl>Nepal 2001</labl>
  </catgry>
  <catgry>
    <catValu>52403</catValu>
    <labl>Nepal 2006</labl>
  </catgry>
  <catgry>
    <catValu>52404</catValu>
    <labl>Nepal 2011</labl>
  </catgry>
  <catgry>
    <catValu>52405</catValu>
    <labl>Nepal 2016</labl>
  </catgry>
  <catgry>
    <catValu>56201</catValu>
    <labl>Niger 1992</labl>
  </catgry>
  <catgry>
    <catValu>56202</catValu>
    <labl>Niger 1998</labl>
  </catgry>
  <catgry>
    <catValu>56203</catValu>
    <labl>Niger 2006</labl>
  </catgry>
  <catgry>
    <catValu>56204</catValu>
    <labl>Niger 2012</labl>
  </catgry>
  <catgry>
    <catValu>56601</catValu>
    <labl>Nigeria 1990</labl>
  </catgry>
  <catgry>
    <catValu>56602</catValu>
    <labl>Nigeria 1999</labl>
  </catgry>
  <catgry>
    <catValu>56603</catValu>
    <labl>Nigeria 2003</labl>
  </catgry>
  <catgry>
    <catValu>56604</catValu>
    <labl>Nigeria 2008</labl>
  </catgry>
  <catgry>
    <catValu>56605</catValu>
    <labl>Nigeria 2013</labl>
  </catgry>
  <catgry>
    <catValu>58601</catValu>
    <labl>Pakistan 1990-91</labl>
  </catgry>
  <catgry>
    <catValu>58602</catValu>
    <labl>Pakistan 2006-07</labl>
  </catgry>
  <catgry>
    <catValu>58603</catValu>
    <labl>Pakistan 2012-13</labl>
  </catgry>
  <catgry>
    <catValu>58604</catValu>
    <labl>Pakistan 2017-18</labl>
  </catgry>
  <catgry>
    <catValu>60401</catValu>
    <labl>Peru 1991-92</labl>
  </catgry>
  <catgry>
    <catValu>60402</catValu>
    <labl>Peru 1996</labl>
  </catgry>
  <catgry>
    <catValu>60403</catValu>
    <labl>Peru 2000</labl>
  </catgry>
  <catgry>
    <catValu>60404</catValu>
    <labl>Peru 2004-08</labl>
  </catgry>
  <catgry>
    <catValu>60405</catValu>
    <labl>Peru 2010</labl>
  </catgry>
  <catgry>
    <catValu>60406</catValu>
    <labl>Peru 2011</labl>
  </catgry>
  <catgry>
    <catValu>60407</catValu>
    <labl>Peru 2012</labl>
  </catgry>
  <catgry>
    <catValu>64601</catValu>
    <labl>Rwanda 1992</labl>
  </catgry>
  <catgry>
    <catValu>64602</catValu>
    <labl>Rwanda 2000</labl>
  </catgry>
  <catgry>
    <catValu>64603</catValu>
    <labl>Rwanda 2005</labl>
  </catgry>
  <catgry>
    <catValu>64604</catValu>
    <labl>Rwanda 2010</labl>
  </catgry>
  <catgry>
    <catValu>64605</catValu>
    <labl>Rwanda 2014</labl>
  </catgry>
  <catgry>
    <catValu>68601</catValu>
    <labl>Senegal 1986</labl>
  </catgry>
  <catgry>
    <catValu>68602</catValu>
    <labl>Senegal 1992-93</labl>
  </catgry>
  <catgry>
    <catValu>68603</catValu>
    <labl>Senegal 1997</labl>
  </catgry>
  <catgry>
    <catValu>68604</catValu>
    <labl>Senegal 2005</labl>
  </catgry>
  <catgry>
    <catValu>68605</catValu>
    <labl>Senegal 2010-11</labl>
  </catgry>
  <catgry>
    <catValu>68606</catValu>
    <labl>Senegal 2012-13</labl>
  </catgry>
  <catgry>
    <catValu>68607</catValu>
    <labl>Senegal 2014</labl>
  </catgry>
  <catgry>
    <catValu>68608</catValu>
    <labl>Senegal 2015</labl>
  </catgry>
  <catgry>
    <catValu>68609</catValu>
    <labl>Senegal 2016</labl>
  </catgry>
  <catgry>
    <catValu>68610</catValu>
    <labl>Senegal 2017</labl>
  </catgry>
  <catgry>
    <catValu>71001</catValu>
    <labl>South Africa 1998</labl>
  </catgry>
  <catgry>
    <catValu>71002</catValu>
    <labl>South Africa 2016</labl>
  </catgry>
  <catgry>
    <catValu>71601</catValu>
    <labl>Zimbabwe 1988</labl>
  </catgry>
  <catgry>
    <catValu>71602</catValu>
    <labl>Zimbabwe 1994</labl>
  </catgry>
  <catgry>
    <catValu>71603</catValu>
    <labl>Zimbabwe 1999</labl>
  </catgry>
  <catgry>
    <catValu>71604</catValu>
    <labl>Zimbabwe 2005-6</labl>
  </catgry>
  <catgry>
    <catValu>71605</catValu>
    <labl>Zimbabwe 2010-11</labl>
  </catgry>
  <catgry>
    <catValu>71606</catValu>
    <labl>Zimbabwe 2015</labl>
  </catgry>
  <catgry>
    <catValu>72901</catValu>
    <labl>Sudan 1989-90</labl>
  </catgry>
  <catgry>
    <catValu>78801</catValu>
    <labl>Tunisia 1988</labl>
  </catgry>
  <catgry>
    <catValu>79201</catValu>
    <labl>Turkey 1993</labl>
  </catgry>
  <catgry>
    <catValu>79202</catValu>
    <labl>Turkey 1998</labl>
  </catgry>
  <catgry>
    <catValu>79203</catValu>
    <labl>Turkey 2003</labl>
  </catgry>
  <catgry>
    <catValu>80001</catValu>
    <labl>Uganda 1988</labl>
  </catgry>
  <catgry>
    <catValu>80002</catValu>
    <labl>Uganda 1995</labl>
  </catgry>
  <catgry>
    <catValu>80003</catValu>
    <labl>Uganda 2001</labl>
  </catgry>
  <catgry>
    <catValu>80004</catValu>
    <labl>Uganda 2006</labl>
  </catgry>
  <catgry>
    <catValu>80005</catValu>
    <labl>Uganda 2011</labl>
  </catgry>
  <catgry>
    <catValu>80006</catValu>
    <labl>Uganda 2016</labl>
  </catgry>
  <catgry>
    <catValu>81801</catValu>
    <labl>Egypt 1988</labl>
  </catgry>
  <catgry>
    <catValu>81802</catValu>
    <labl>Egypt 1992</labl>
  </catgry>
  <catgry>
    <catValu>81803</catValu>
    <labl>Egypt 1995</labl>
  </catgry>
  <catgry>
    <catValu>81804</catValu>
    <labl>Egypt 2000</labl>
  </catgry>
  <catgry>
    <catValu>81805</catValu>
    <labl>Egypt 2005</labl>
  </catgry>
  <catgry>
    <catValu>81806</catValu>
    <labl>Egypt 2008</labl>
  </catgry>
  <catgry>
    <catValu>81807</catValu>
    <labl>Egypt 2014</labl>
  </catgry>
  <catgry>
    <catValu>83401</catValu>
    <labl>Tanzania 1991</labl>
  </catgry>
  <catgry>
    <catValu>83402</catValu>
    <labl>Tanzania 1996</labl>
  </catgry>
  <catgry>
    <catValu>83403</catValu>
    <labl>Tanzania 1999</labl>
  </catgry>
  <catgry>
    <catValu>83404</catValu>
    <labl>Tanzania 2004</labl>
  </catgry>
  <catgry>
    <catValu>83405</catValu>
    <labl>Tanzania 2010</labl>
  </catgry>
  <catgry>
    <catValu>83406</catValu>
    <labl>Tanzania 2015</labl>
  </catgry>
  <catgry>
    <catValu>85401</catValu>
    <labl>Burkina Faso 1993</labl>
  </catgry>
  <catgry>
    <catValu>85402</catValu>
    <labl>Burkina Faso 1998</labl>
  </catgry>
  <catgry>
    <catValu>85403</catValu>
    <labl>Burkina Faso 2003</labl>
  </catgry>
  <catgry>
    <catValu>85404</catValu>
    <labl>Burkina Faso 2010</labl>
  </catgry>
  <catgry>
    <catValu>88701</catValu>
    <labl>Yemen 1991-92</labl>
  </catgry>
  <catgry>
    <catValu>88702</catValu>
    <labl>Yemen 2013</labl>
  </catgry>
  <catgry>
    <catValu>89401</catValu>
    <labl>Zambia 1992</labl>
  </catgry>
  <catgry>
    <catValu>89402</catValu>
    <labl>Zambia 1996</labl>
  </catgry>
  <catgry>
    <catValu>89403</catValu>
    <labl>Zambia 2001</labl>
  </catgry>
  <catgry>
    <catValu>89404</catValu>
    <labl>Zambia 2007</labl>
  </catgry>
  <catgry>
    <catValu>89405</catValu>
    <labl>Zambia 2013</labl>
  </catgry>
  <txt>SAMPLE identifies the DHS sample from which the case is drawn.  Each sample receives a unique 5-digit code.  The first three digits are ISO/UN codes used in COUNTRY, and the last two digits identify the sample within the country, ordered by survey year.

The related variable SAMPLESTR is a string variable that identifies the DHS sample with the same 5-digit code.</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_SAMPLESTR" name="H_SAMPLESTR" files="H" intrvl="discrete">
  <labl>IPUMS-DHS sample identifier (string)</labl>
  <imputation>IPUMS-DHS sample identifier (string)</imputation>
  <security>IPUMS-DHS sample identifier (string)</security>
  <embargo>IPUMS-DHS sample identifier (string)</embargo>
  <respUnit>IPUMS-DHS sample identifier (string)</respUnit>
  <catgry>
    <catValu>11603</catValu>
    <labl>Cambodia 2010</labl>
  </catgry>
  <catgry>
    <catValu>11602</catValu>
    <labl>Cambodia 2005</labl>
  </catgry>
  <catgry>
    <catValu>11601</catValu>
    <labl>Cambodia 2000</labl>
  </catgry>
  <catgry>
    <catValu>10803</catValu>
    <labl>Burundi 2016</labl>
  </catgry>
  <catgry>
    <catValu>10802</catValu>
    <labl>Burundi 2010</labl>
  </catgry>
  <catgry>
    <catValu>10801</catValu>
    <labl>Burundi 1987</labl>
  </catgry>
  <catgry>
    <catValu>10401</catValu>
    <labl>Myanmar 2015</labl>
  </catgry>
  <catgry>
    <catValu>05007</catValu>
    <labl>Bangladesh 2014</labl>
  </catgry>
  <catgry>
    <catValu>05006</catValu>
    <labl>Bangladesh 2011</labl>
  </catgry>
  <catgry>
    <catValu>05005</catValu>
    <labl>Bangladesh 2007</labl>
  </catgry>
  <catgry>
    <catValu>05004</catValu>
    <labl>Bangladesh 2004</labl>
  </catgry>
  <catgry>
    <catValu>05003</catValu>
    <labl>Bangladesh 1999-00</labl>
  </catgry>
  <catgry>
    <catValu>05001</catValu>
    <labl>Bangladesh 1994</labl>
  </catgry>
  <catgry>
    <catValu>05002</catValu>
    <labl>Bangladesh 1996-97</labl>
  </catgry>
  <catgry>
    <catValu>14801</catValu>
    <labl>Chad 1996-97</labl>
  </catgry>
  <catgry>
    <catValu>12004</catValu>
    <labl>Cameroon 2011</labl>
  </catgry>
  <catgry>
    <catValu>12003</catValu>
    <labl>Cameroon 2004</labl>
  </catgry>
  <catgry>
    <catValu>14803</catValu>
    <labl>Chad 2014</labl>
  </catgry>
  <catgry>
    <catValu>18001</catValu>
    <labl>Congo Democratic Republic 2007</labl>
  </catgry>
  <catgry>
    <catValu>18002</catValu>
    <labl>Congo Democratic Republic 2013-14</labl>
  </catgry>
  <catgry>
    <catValu>20401</catValu>
    <labl>Benin 1996</labl>
  </catgry>
  <catgry>
    <catValu>81807</catValu>
    <labl>Egypt 2014</labl>
  </catgry>
  <catgry>
    <catValu>81806</catValu>
    <labl>Egypt 2008</labl>
  </catgry>
  <catgry>
    <catValu>81805</catValu>
    <labl>Egypt 2005</labl>
  </catgry>
  <catgry>
    <catValu>81804</catValu>
    <labl>Egypt 2000</labl>
  </catgry>
  <catgry>
    <catValu>81803</catValu>
    <labl>Egypt 1995</labl>
  </catgry>
  <catgry>
    <catValu>81802</catValu>
    <labl>Egypt 1992</labl>
  </catgry>
  <catgry>
    <catValu>81801</catValu>
    <labl>Egypt 1988</labl>
  </catgry>
  <catgry>
    <catValu>80006</catValu>
    <labl>Uganda 2016</labl>
  </catgry>
  <catgry>
    <catValu>80005</catValu>
    <labl>Uganda 2011</labl>
  </catgry>
  <catgry>
    <catValu>80004</catValu>
    <labl>Uganda 2006</labl>
  </catgry>
  <catgry>
    <catValu>80003</catValu>
    <labl>Uganda 2001</labl>
  </catgry>
  <catgry>
    <catValu>80002</catValu>
    <labl>Uganda 1995</labl>
  </catgry>
  <catgry>
    <catValu>80001</catValu>
    <labl>Uganda 1988</labl>
  </catgry>
  <catgry>
    <catValu>79203</catValu>
    <labl>Turkey 2003</labl>
  </catgry>
  <catgry>
    <catValu>79202</catValu>
    <labl>Turkey 1998</labl>
  </catgry>
  <catgry>
    <catValu>79201</catValu>
    <labl>Turkey 1993</labl>
  </catgry>
  <catgry>
    <catValu>78801</catValu>
    <labl>Tunisia 1988</labl>
  </catgry>
  <catgry>
    <catValu>72901</catValu>
    <labl>Sudan 1989-90</labl>
  </catgry>
  <catgry>
    <catValu>71606</catValu>
    <labl>Zimbabwe 2015</labl>
  </catgry>
  <catgry>
    <catValu>71605</catValu>
    <labl>Zimbabwe 2010-11</labl>
  </catgry>
  <catgry>
    <catValu>71604</catValu>
    <labl>Zimbabwe 2005-6</labl>
  </catgry>
  <catgry>
    <catValu>71603</catValu>
    <labl>Zimbabwe 1999</labl>
  </catgry>
  <catgry>
    <catValu>71602</catValu>
    <labl>Zimbabwe 1994</labl>
  </catgry>
  <catgry>
    <catValu>71601</catValu>
    <labl>Zimbabwe 1988</labl>
  </catgry>
  <catgry>
    <catValu>71001</catValu>
    <labl>South Africa 1998</labl>
  </catgry>
  <catgry>
    <catValu>68610</catValu>
    <labl>Senegal 2017</labl>
  </catgry>
  <catgry>
    <catValu>68609</catValu>
    <labl>Senegal 2016</labl>
  </catgry>
  <catgry>
    <catValu>68608</catValu>
    <labl>Senegal 2015</labl>
  </catgry>
  <catgry>
    <catValu>68607</catValu>
    <labl>Senegal 2014</labl>
  </catgry>
  <catgry>
    <catValu>14802</catValu>
    <labl>Chad 2004</labl>
  </catgry>
  <catgry>
    <catValu>68606</catValu>
    <labl>Senegal 2012-13</labl>
  </catgry>
  <catgry>
    <catValu>68605</catValu>
    <labl>Senegal 2010-11</labl>
  </catgry>
  <catgry>
    <catValu>68604</catValu>
    <labl>Senegal 2005</labl>
  </catgry>
  <catgry>
    <catValu>68603</catValu>
    <labl>Senegal 1997</labl>
  </catgry>
  <catgry>
    <catValu>68602</catValu>
    <labl>Senegal 1992-93</labl>
  </catgry>
  <catgry>
    <catValu>68601</catValu>
    <labl>Senegal 1986</labl>
  </catgry>
  <catgry>
    <catValu>64605</catValu>
    <labl>Rwanda 2014</labl>
  </catgry>
  <catgry>
    <catValu>64604</catValu>
    <labl>Rwanda 2010</labl>
  </catgry>
  <catgry>
    <catValu>64603</catValu>
    <labl>Rwanda 2005</labl>
  </catgry>
  <catgry>
    <catValu>64602</catValu>
    <labl>Rwanda 2000</labl>
  </catgry>
  <catgry>
    <catValu>64601</catValu>
    <labl>Rwanda 1992</labl>
  </catgry>
  <catgry>
    <catValu>60407</catValu>
    <labl>Peru 2012</labl>
  </catgry>
  <catgry>
    <catValu>60406</catValu>
    <labl>Peru 2011</labl>
  </catgry>
  <catgry>
    <catValu>60405</catValu>
    <labl>Peru 2010</labl>
  </catgry>
  <catgry>
    <catValu>60404</catValu>
    <labl>Peru 2004-08</labl>
  </catgry>
  <catgry>
    <catValu>60403</catValu>
    <labl>Peru 2000</labl>
  </catgry>
  <catgry>
    <catValu>60402</catValu>
    <labl>Peru 1996</labl>
  </catgry>
  <catgry>
    <catValu>60401</catValu>
    <labl>Peru 1991-92</labl>
  </catgry>
  <catgry>
    <catValu>58603</catValu>
    <labl>Pakistan 2012-13</labl>
  </catgry>
  <catgry>
    <catValu>58602</catValu>
    <labl>Pakistan 2006-07</labl>
  </catgry>
  <catgry>
    <catValu>58601</catValu>
    <labl>Pakistan 1990-91</labl>
  </catgry>
  <catgry>
    <catValu>56605</catValu>
    <labl>Nigeria 2013</labl>
  </catgry>
  <catgry>
    <catValu>56604</catValu>
    <labl>Nigeria 2008</labl>
  </catgry>
  <catgry>
    <catValu>56603</catValu>
    <labl>Nigeria 2003</labl>
  </catgry>
  <catgry>
    <catValu>56602</catValu>
    <labl>Nigeria 1999</labl>
  </catgry>
  <catgry>
    <catValu>56601</catValu>
    <labl>Nigeria 1990</labl>
  </catgry>
  <catgry>
    <catValu>56204</catValu>
    <labl>Niger 2012</labl>
  </catgry>
  <catgry>
    <catValu>56203</catValu>
    <labl>Niger 2006</labl>
  </catgry>
  <catgry>
    <catValu>56202</catValu>
    <labl>Niger 1998</labl>
  </catgry>
  <catgry>
    <catValu>12002</catValu>
    <labl>Cameroon 1998</labl>
  </catgry>
  <catgry>
    <catValu>12001</catValu>
    <labl>Cameroon 1991</labl>
  </catgry>
  <catgry>
    <catValu>11604</catValu>
    <labl>Cambodia 2014</labl>
  </catgry>
  <catgry>
    <catValu>02401</catValu>
    <labl>Angola 2015</labl>
  </catgry>
  <catgry>
    <catValu>00401</catValu>
    <labl>Afghanistan 2015</labl>
  </catgry>
  <catgry>
    <catValu>00101</catValu>
    <labl>Model 2015</labl>
  </catgry>
  <catgry>
    <catValu>56201</catValu>
    <labl>Niger 1992</labl>
  </catgry>
  <catgry>
    <catValu>52404</catValu>
    <labl>Nepal 2011</labl>
  </catgry>
  <catgry>
    <catValu>52403</catValu>
    <labl>Nepal 2006</labl>
  </catgry>
  <catgry>
    <catValu>52402</catValu>
    <labl>Nepal 2001</labl>
  </catgry>
  <catgry>
    <catValu>52401</catValu>
    <labl>Nepal 1996</labl>
  </catgry>
  <catgry>
    <catValu>51604</catValu>
    <labl>Namibia 2013</labl>
  </catgry>
  <catgry>
    <catValu>51603</catValu>
    <labl>Namibia 2006</labl>
  </catgry>
  <catgry>
    <catValu>51602</catValu>
    <labl>Namibia 2000</labl>
  </catgry>
  <catgry>
    <catValu>51601</catValu>
    <labl>Namibia 1992</labl>
  </catgry>
  <catgry>
    <catValu>50803</catValu>
    <labl>Mozambique 2011</labl>
  </catgry>
  <catgry>
    <catValu>50802</catValu>
    <labl>Mozambique 2003</labl>
  </catgry>
  <catgry>
    <catValu>50801</catValu>
    <labl>Mozambique 1997</labl>
  </catgry>
  <catgry>
    <catValu>50403</catValu>
    <labl>Morocco 2003</labl>
  </catgry>
  <catgry>
    <catValu>50402</catValu>
    <labl>Morocco 1992</labl>
  </catgry>
  <catgry>
    <catValu>50401</catValu>
    <labl>Morocco 1987</labl>
  </catgry>
  <catgry>
    <catValu>46605</catValu>
    <labl>Mali 2012</labl>
  </catgry>
  <catgry>
    <catValu>46604</catValu>
    <labl>Mali 2006</labl>
  </catgry>
  <catgry>
    <catValu>46603</catValu>
    <labl>Mali 2001</labl>
  </catgry>
  <catgry>
    <catValu>46602</catValu>
    <labl>Mali 1995-6</labl>
  </catgry>
  <catgry>
    <catValu>46601</catValu>
    <labl>Mali 1987</labl>
  </catgry>
  <catgry>
    <catValu>45405</catValu>
    <labl>Malawi 2016</labl>
  </catgry>
  <catgry>
    <catValu>45404</catValu>
    <labl>Malawi 2010</labl>
  </catgry>
  <catgry>
    <catValu>45403</catValu>
    <labl>Malawi 2004</labl>
  </catgry>
  <catgry>
    <catValu>45402</catValu>
    <labl>Malawi 2000</labl>
  </catgry>
  <catgry>
    <catValu>45401</catValu>
    <labl>Malawi 1992</labl>
  </catgry>
  <catgry>
    <catValu>45004</catValu>
    <labl>Madagascar 2008</labl>
  </catgry>
  <catgry>
    <catValu>45003</catValu>
    <labl>Madagascar 2003</labl>
  </catgry>
  <catgry>
    <catValu>45002</catValu>
    <labl>Madagascar 1997</labl>
  </catgry>
  <catgry>
    <catValu>45001</catValu>
    <labl>Madagascar 1992</labl>
  </catgry>
  <catgry>
    <catValu>42603</catValu>
    <labl>Lesotho 2014</labl>
  </catgry>
  <catgry>
    <catValu>42602</catValu>
    <labl>Lesotho 2009</labl>
  </catgry>
  <catgry>
    <catValu>42601</catValu>
    <labl>Lesotho 2004</labl>
  </catgry>
  <catgry>
    <catValu>40406</catValu>
    <labl>Kenya 2014</labl>
  </catgry>
  <catgry>
    <catValu>40405</catValu>
    <labl>Kenya 2008-9</labl>
  </catgry>
  <catgry>
    <catValu>40404</catValu>
    <labl>Kenya 2003</labl>
  </catgry>
  <catgry>
    <catValu>40403</catValu>
    <labl>Kenya 1998</labl>
  </catgry>
  <catgry>
    <catValu>40402</catValu>
    <labl>Kenya 1993</labl>
  </catgry>
  <catgry>
    <catValu>40401</catValu>
    <labl>Kenya 1989</labl>
  </catgry>
  <catgry>
    <catValu>40006</catValu>
    <labl>Jordan 2012</labl>
  </catgry>
  <catgry>
    <catValu>40005</catValu>
    <labl>Jordan 2009</labl>
  </catgry>
  <catgry>
    <catValu>40004</catValu>
    <labl>Jordan 2007</labl>
  </catgry>
  <catgry>
    <catValu>40003</catValu>
    <labl>Jordan 2002</labl>
  </catgry>
  <catgry>
    <catValu>40002</catValu>
    <labl>Jordan 1997</labl>
  </catgry>
  <catgry>
    <catValu>40001</catValu>
    <labl>Jordan 1990</labl>
  </catgry>
  <catgry>
    <catValu>38403</catValu>
    <labl>Cote d'Ivoire 2011</labl>
  </catgry>
  <catgry>
    <catValu>38402</catValu>
    <labl>Cote d'Ivoire 1998</labl>
  </catgry>
  <catgry>
    <catValu>38401</catValu>
    <labl>Cote d'Ivoire 1994</labl>
  </catgry>
  <catgry>
    <catValu>35604</catValu>
    <labl>India 2015-16</labl>
  </catgry>
  <catgry>
    <catValu>35603</catValu>
    <labl>India 2005-06</labl>
  </catgry>
  <catgry>
    <catValu>35602</catValu>
    <labl>India 1998-99</labl>
  </catgry>
  <catgry>
    <catValu>35601</catValu>
    <labl>India 1992-93</labl>
  </catgry>
  <catgry>
    <catValu>32403</catValu>
    <labl>Guinea 2012</labl>
  </catgry>
  <catgry>
    <catValu>32402</catValu>
    <labl>Guinea 2005</labl>
  </catgry>
  <catgry>
    <catValu>32401</catValu>
    <labl>Guinea 1999</labl>
  </catgry>
  <catgry>
    <catValu>32003</catValu>
    <labl>Guatemala 2015</labl>
  </catgry>
  <catgry>
    <catValu>32002</catValu>
    <labl>Guatemala 1995</labl>
  </catgry>
  <catgry>
    <catValu>32001</catValu>
    <labl>Guatemala 1987</labl>
  </catgry>
  <catgry>
    <catValu>28806</catValu>
    <labl>Ghana 2014</labl>
  </catgry>
  <catgry>
    <catValu>28805</catValu>
    <labl>Ghana 2008</labl>
  </catgry>
  <catgry>
    <catValu>28804</catValu>
    <labl>Ghana 2003</labl>
  </catgry>
  <catgry>
    <catValu>28803</catValu>
    <labl>Ghana 1998</labl>
  </catgry>
  <catgry>
    <catValu>28802</catValu>
    <labl>Ghana 1993</labl>
  </catgry>
  <catgry>
    <catValu>28801</catValu>
    <labl>Ghana 1988</labl>
  </catgry>
  <catgry>
    <catValu>23104</catValu>
    <labl>Ethiopia 2016</labl>
  </catgry>
  <catgry>
    <catValu>23103</catValu>
    <labl>Ethiopia 2011</labl>
  </catgry>
  <catgry>
    <catValu>23102</catValu>
    <labl>Ethiopia 2005</labl>
  </catgry>
  <catgry>
    <catValu>23101</catValu>
    <labl>Ethiopia 2000</labl>
  </catgry>
  <catgry>
    <catValu>20404</catValu>
    <labl>Benin 2011</labl>
  </catgry>
  <catgry>
    <catValu>20403</catValu>
    <labl>Benin 2006</labl>
  </catgry>
  <catgry>
    <catValu>20402</catValu>
    <labl>Benin 2001</labl>
  </catgry>
  <catgry>
    <catValu>83401</catValu>
    <labl>Tanzania 1991</labl>
  </catgry>
  <catgry>
    <catValu>83402</catValu>
    <labl>Tanzania 1996</labl>
  </catgry>
  <catgry>
    <catValu>83403</catValu>
    <labl>Tanzania 1999</labl>
  </catgry>
  <catgry>
    <catValu>83404</catValu>
    <labl>Tanzania 2004</labl>
  </catgry>
  <catgry>
    <catValu>83405</catValu>
    <labl>Tanzania 2010</labl>
  </catgry>
  <catgry>
    <catValu>83406</catValu>
    <labl>Tanzania 2015</labl>
  </catgry>
  <catgry>
    <catValu>85401</catValu>
    <labl>Burkina Faso 1993</labl>
  </catgry>
  <catgry>
    <catValu>85402</catValu>
    <labl>Burkina Faso 1998</labl>
  </catgry>
  <catgry>
    <catValu>85403</catValu>
    <labl>Burkina Faso 2003</labl>
  </catgry>
  <catgry>
    <catValu>85404</catValu>
    <labl>Burkina Faso 2010</labl>
  </catgry>
  <catgry>
    <catValu>88701</catValu>
    <labl>Yemen 1991-92</labl>
  </catgry>
  <catgry>
    <catValu>88702</catValu>
    <labl>Yemen 2013</labl>
  </catgry>
  <catgry>
    <catValu>89401</catValu>
    <labl>Zambia 1992</labl>
  </catgry>
  <catgry>
    <catValu>89402</catValu>
    <labl>Zambia 1996</labl>
  </catgry>
  <catgry>
    <catValu>89403</catValu>
    <labl>Zambia 2001</labl>
  </catgry>
  <catgry>
    <catValu>89404</catValu>
    <labl>Zambia 2007</labl>
  </catgry>
  <catgry>
    <catValu>89405</catValu>
    <labl>Zambia 2013</labl>
  </catgry>
  <catgry>
    <catValu>40007</catValu>
    <labl>Jordan 2017</labl>
  </catgry>
  <catgry>
    <catValu>52405</catValu>
    <labl>Nepal 2016</labl>
  </catgry>
  <catgry>
    <catValu>58604</catValu>
    <labl>Pakistan 2017-18</labl>
  </catgry>
  <catgry>
    <catValu>71002</catValu>
    <labl>South Africa 2016</labl>
  </catgry>
  <txt>SAMPLESTR is a string variable that identifies the DHS sample from which the case is drawn.  Each sample receives a unique 5-digit code.  The first three digits are ISO/UN codes used in COUNTRY, and the last two digits identify the sample within the country, ordered by survey year.

The related variable SAMPLE is a numeric variable that identifies the DHS sample with the same 5-digit code.</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="H_COUNTRY" name="H_COUNTRY" files="H" intrvl="discrete">
  <labl>Country</labl>
  <imputation>Country</imputation>
  <security>Country</security>
  <embargo>Country</embargo>
  <respUnit>Country</respUnit>
  <catgry>
    <catValu>001</catValu>
    <labl>Model</labl>
  </catgry>
  <catgry>
    <catValu>004</catValu>
    <labl>Afghanistan</labl>
  </catgry>
  <catgry>
    <catValu>024</catValu>
    <labl>Angola</labl>
  </catgry>
  <catgry>
    <catValu>050</catValu>
    <labl>Bangladesh</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>Myanmar</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>Burundi</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>Cambodia</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Cameroon</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>Chad</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>Congo Democratic Republic</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>Benin</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>Ethiopia</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>Ghana</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>Guatemala</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>Guinea</labl>
  </catgry>
  <catgry>
    <catValu>356</catValu>
    <labl>India</labl>
  </catgry>
  <catgry>
    <catValu>384</catValu>
    <labl>Cote d'Ivoire</labl>
  </catgry>
  <catgry>
    <catValu>400</catValu>
    <labl>Jordan</labl>
  </catgry>
  <catgry>
    <catValu>404</catValu>
    <labl>Kenya</labl>
  </catgry>
  <catgry>
    <catValu>426</catValu>
    <labl>Lesotho</labl>
  </catgry>
  <catgry>
    <catValu>450</catValu>
    <labl>Madagascar</labl>
  </catgry>
  <catgry>
    <catValu>454</catValu>
    <labl>Malawi</labl>
  </catgry>
  <catgry>
    <catValu>466</catValu>
    <labl>Mali</labl>
  </catgry>
  <catgry>
    <catValu>504</catValu>
    <labl>Morocco</labl>
  </catgry>
  <catgry>
    <catValu>508</catValu>
    <labl>Mozambique</labl>
  </catgry>
  <catgry>
    <catValu>516</catValu>
    <labl>Namibia</labl>
  </catgry>
  <catgry>
    <catValu>524</catValu>
    <labl>Nepal</labl>
  </catgry>
  <catgry>
    <catValu>562</catValu>
    <labl>Niger</labl>
  </catgry>
  <catgry>
    <catValu>566</catValu>
    <labl>Nigeria</labl>
  </catgry>
  <catgry>
    <catValu>586</catValu>
    <labl>Pakistan</labl>
  </catgry>
  <catgry>
    <catValu>604</catValu>
    <labl>Peru</labl>
  </catgry>
  <catgry>
    <catValu>646</catValu>
    <labl>Rwanda</labl>
  </catgry>
  <catgry>
    <catValu>686</catValu>
    <labl>Senegal</labl>
  </catgry>
  <catgry>
    <catValu>710</catValu>
    <labl>South Africa</labl>
  </catgry>
  <catgry>
    <catValu>716</catValu>
    <labl>Zimbabwe</labl>
  </catgry>
  <catgry>
    <catValu>729</catValu>
    <labl>Sudan</labl>
  </catgry>
  <catgry>
    <catValu>788</catValu>
    <labl>Tunisia</labl>
  </catgry>
  <catgry>
    <catValu>792</catValu>
    <labl>Turkey</labl>
  </catgry>
  <catgry>
    <catValu>800</catValu>
    <labl>Uganda</labl>
  </catgry>
  <catgry>
    <catValu>818</catValu>
    <labl>Egypt</labl>
  </catgry>
  <catgry>
    <catValu>834</catValu>
    <labl>Tanzania</labl>
  </catgry>
  <catgry>
    <catValu>854</catValu>
    <labl>Burkina Faso</labl>
  </catgry>
  <catgry>
    <catValu>887</catValu>
    <labl>Yemen</labl>
  </catgry>
  <catgry>
    <catValu>894</catValu>
    <labl>Zambia</labl>
  </catgry>
  <txt>COUNTRY reports the country where the survey was fielded. The codes assigned to each country are those used by the UN Statistics Division and the ISO (International Organization for Standardization).</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_YEAR" name="H_YEAR" files="H" intrvl="discrete">
  <labl>Year of sample</labl>
  <imputation>Year of sample</imputation>
  <security>Year of sample</security>
  <embargo>Year of sample</embargo>
  <respUnit>Year of sample</respUnit>
  <catgry>
    <catValu>1986</catValu>
    <labl>1986</labl>
  </catgry>
  <catgry>
    <catValu>1987</catValu>
    <labl>1987</labl>
  </catgry>
  <catgry>
    <catValu>1988</catValu>
    <labl>1988</labl>
  </catgry>
  <catgry>
    <catValu>1989</catValu>
    <labl>1989</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>2017</labl>
  </catgry>
  <catgry>
    <catValu>2018</catValu>
    <labl>2018</labl>
  </catgry>
  <txt>YEAR reports the year when the survey was fielded, as a four-digit variable. In some cases, the DHS was conducted over the course of two years (e.g., Ethiopia 2010-2011), but YEAR always gives a single year.  For full information about the timing of the surveys, please consult the IPUMS-DHS Sample Descriptions page.</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_IDHSHID" name="H_IDHSHID" files="H" intrvl="contin">
  <labl>Unique cross-sample household identifier</labl>
  <imputation>Unique cross-sample household identifier</imputation>
  <security>Unique cross-sample household identifier</security>
  <embargo>Unique cross-sample household identifier</embargo>
  <respUnit>Unique cross-sample household identifier</respUnit>
  <txt>IDHSHID is an identifying number unique to a specific household in a given sample.  It is a concatenation of SAMPLE, CLUSTERNO and HHNUM.</txt>
  <codInstr>IDHSHID is a 19-character string variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="H_DHSID" name="H_DHSID" files="H" intrvl="contin">
  <labl>Key to link DHS clusters to context data (string)</labl>
  <imputation>Key to link DHS clusters to context data (string)</imputation>
  <security>Key to link DHS clusters to context data (string)</security>
  <embargo>Key to link DHS clusters to context data (string)</embargo>
  <respUnit>Key to link DHS clusters to context data (string)</respUnit>
  <txt>DHSID is the 14-character DHS identification code for DHS clusters constructed from the 2-character country code, the 4-digit survey year, and the 8-digit cluster identification number. DHSID is available for every IPUMS-DHS sample and uniquely identifies clusters across samples. It serves as the unique linking key between IPUMS-DHS microdata and DHS cluster shapefiles.</txt>
  <codInstr>This is a 14-digit numeric variable with 0 implied decimal places</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="H_IDHSPSU" name="H_IDHSPSU" files="H" intrvl="discrete">
  <labl>Unique sample-case PSU identifier</labl>
  <imputation>Unique sample-case PSU identifier</imputation>
  <security>Unique sample-case PSU identifier</security>
  <embargo>Unique sample-case PSU identifier</embargo>
  <respUnit>Unique sample-case PSU identifier</respUnit>
  <txt>IDHSPSU is an identifying number unique to the primary sampling unit in a given sample.  This variable is a concatenation of SAMPLE (which uniquely identifies each country- and year-specific sample) and PSU (the numbered primary sampling units within a given sample).</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_IDHSSTRATA" name="H_IDHSSTRATA" files="H" intrvl="discrete">
  <labl>Unique cross-sample sampling strata</labl>
  <imputation>Unique cross-sample sampling strata</imputation>
  <security>Unique cross-sample sampling strata</security>
  <embargo>Unique cross-sample sampling strata</embargo>
  <respUnit>Unique cross-sample sampling strata</respUnit>
  <txt>IDHSSTRATA is an identifying number unique to the sampling strata in a given sample.  This variable is a concatenation of SAMPLE (which uniquely identifies each country- and year-specific sample) and STRATA (groups of geographically similar areas, from which primary sampling units are drawn).</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_HHID" name="H_HHID" files="H" intrvl="contin">
  <labl>Sample-specific household identifier</labl>
  <imputation>Sample-specific household identifier</imputation>
  <security>Sample-specific household identifier</security>
  <embargo>Sample-specific household identifier</embargo>
  <respUnit>Sample-specific household identifier</respUnit>
  <txt>HHID is an identifying number unique to each household in a given sample.</txt>
  <codInstr>HHID is a 15-character string variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="character"/>
</var>
<var ID="H_PSUHH" name="H_PSUHH" files="H" intrvl="contin">
  <labl>Sample-specific primary sampling unit</labl>
  <imputation>Sample-specific primary sampling unit</imputation>
  <security>Sample-specific primary sampling unit</security>
  <embargo>Sample-specific primary sampling unit</embargo>
  <respUnit>Sample-specific primary sampling unit</respUnit>
  <txt>PSUHH (HV021) indicates the  primary sampling unit  for household members. This variable should be used along with the variable DOMAINHH (HV023) to account for the impact of the sample design clustering on variance estimates and standard errors. 

The DHS Recode Manuals for Phase 2 forward describe the primary sampling unit as follows:

 Primary sampling unit is a number assigned to sample points to identify the primary sampling units for use in the calculation of sampling errors. This variable is usually the same as the cluster number and/or the ultimate area unit, but may differ if the sample design required a multistage selection process.

See the notes on DHS webpage "Using sample weights" [URL omitted from DDI.] on variance estimation for additional information.</txt>
  <codInstr>PSUHH (HV021) is a 5-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_STRATAHH" name="H_STRATAHH" files="H" intrvl="contin">
  <labl>Sample-specific sampling strata</labl>
  <imputation>Sample-specific sampling strata</imputation>
  <security>Sample-specific sampling strata</security>
  <embargo>Sample-specific sampling strata</embargo>
  <respUnit>Sample-specific sampling strata</respUnit>
  <txt>STRATAHH (HV022) defines the pairings or groupings of primary sampling units used in the calculation of sampling errors when using the Taylor series expansion method. 

In two-stage sampling, The DHS Program may first group small geographic areas, such as enumeration areas from the last census, into broad strata defined jointly by region and urban versus rural areas within a region. In the second stage of sampling, a subset of geographic areas (sample clusters) are selected as the sites for interviewing from within defined strata. 

The STRATAHH variable is not the same as DOMAINHH (HV023). (Domains represent statistically representative areas for which valid summary statistics can be calculated for a survey, such as provinces and national urban versus rural combined areas, as described in the survey's final report.) The DHS Program recommends using STRATAHH along with the variable PSUHH (HV021) to account for the impact of the sampling design clustering on estimates of variance and standard errors.

Users are strongly encouraged to review the FAQ section provided by The DHS Program on specifying stratification and clustering here [URL omitted from DDI.], using Stata or SPSS to account for sample design.</txt>
  <codInstr>STRATAHH (HV022) is a 3-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_DOMAINHH" name="H_DOMAINHH" files="H" intrvl="discrete">
  <labl>Sample-specific domain</labl>
  <imputation>Sample-specific domain</imputation>
  <security>Sample-specific domain</security>
  <embargo>Sample-specific domain</embargo>
  <respUnit>Sample-specific domain</respUnit>
  <txt>DOMAINHH (HV023) defines the basic geographic units for which the sample was designed to yield representative estimates. 

The DHS Recode Manual describes DOMAINHH as follows:

 For example, if the sample was designed to be self-weighting within region, this variable would define those regions; if the sample was designed to be self-weighting within major urban areas, other urban areas and rural areas, this variable would define the major urban, other urban and rural areas. If the sample is self-weighted at the national level, this variable is code 0.

When representative estimates are desired, users should include survey design variables, including DOMAINHH (HV023) and PSUHH (HV021), and the correct sample weights (e.g., HHWEIGHT (HV005)) to adjust sampling errors to account for the DHS Program's sample design.

In most countries, DOMAINHH defines the stratification for the sample (generally either regional or national).  However, some countries use two levels of stratification, such as region and urban/rural areas.  Users should check for the correct stratification design by consulting the Final Report(s) for the sample(s) of interest (particularly the Introduction and Sample Design sections and Implementation Appendix).</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_HHNUMALL" name="H_HHNUMALL" files="H" intrvl="contin">
  <labl>Household number in cluster</labl>
  <imputation>Household number in cluster</imputation>
  <security>Household number in cluster</security>
  <embargo>Household number in cluster</embargo>
  <respUnit>Household number in cluster</respUnit>
  <txt>HHNUMALL (HV002) is the number identifying the household within the cluster or sample point. In some cases, this variable may be the combination of the dwelling number and the household number within the dwelling.

To uniquely identify households in most samples, researchers must use HHNUMALL with CLUSTERNOALL (HV001).</txt>
  <codInstr>HHNUMALL is a 4-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_CLUSTERNOALL" name="H_CLUSTERNOALL" files="H" intrvl="contin">
  <labl>Sample-specific cluster number</labl>
  <imputation>Sample-specific cluster number</imputation>
  <security>Sample-specific cluster number</security>
  <embargo>Sample-specific cluster number</embargo>
  <respUnit>Sample-specific cluster number</respUnit>
  <txt>CLUSTERNOALL (HV001) reports the cluster number for the household member's de facto residence.

According to the DHS Sampling Manual, "A cluster is the smallest geographical survey statistical unit for DHS surveys. It consists of a number of adjacent households in a geographical area. For DHS surveys, a cluster corresponds either to an [enumeration area], or a segment of a large [enumeration area]."  The most recent census for a country, which divided all territory into enumeration areas to ensure full coverage of the population, often provides the sampling frame for a DHS survey.
 
CLUSTERNOALL is the variable indicating the  primary sampling unit  or PSU. CLUSTERNOALL should be used along with the variable STRATAHH (HV022) to account for the impact of sample design clustering on the estimates of variance and standard errors. 

See the notes on DHS webpage  "Use sample weights" [URL omitted from DDI.] on variance estimation for additional information.

CLUSTERNOALL (HV001) and HHNUMALL (HV002) can be used to merge the household member recode file to the women's individual recode file.  See the DHS webpage  Merging Datasets [URL omitted from DDI.] on variables to be used for linking data sets.</txt>
  <codInstr>CLUSTERNOALL is an 8 digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_ULTAREAUNITALL" name="H_ULTAREAUNITALL" files="H" intrvl="contin">
  <labl>Sample-specific ultimate area unit</labl>
  <imputation>Sample-specific ultimate area unit</imputation>
  <security>Sample-specific ultimate area unit</security>
  <embargo>Sample-specific ultimate area unit</embargo>
  <respUnit>Sample-specific ultimate area unit</respUnit>
  <txt>ULTAREAUNITALL (HV004) is a number assigned to each sample point to identify the ultimate area units used in the collection of data. This variable is usually the same as the cluster number [CLUSTERNOALL (HV001)], but it may be a sequentially-numbered variable for samples with a more complicated sampling structure.

ULTAREAUNITALL can be used to account for the effects of sampling design clustering on variance estimates and standard errors.</txt>
  <codInstr>ULTAREAUNITALL (HV004) is a 4-digit variable.</codInstr>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_HHLINENO" name="H_HHLINENO" files="H" intrvl="discrete">
  <labl>Line number in household</labl>
  <imputation>Line number in household</imputation>
  <security>Line number in household</security>
  <embargo>Line number in household</embargo>
  <respUnit>Line number in household</respUnit>
  <qstn>
    <qstnLit>1) NUMBER</qstnLit>
  </qstn>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <txt>HHLINENO (HVIDX) reports the line number of the household member in the household schedule.</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_LINENOHHRESP" name="H_LINENOHHRESP" files="H" intrvl="discrete">
  <labl>Respondent's line number (answering Household questionnaire)</labl>
  <imputation>Respondent's line number (answering Household questionnaire)</imputation>
  <security>Respondent's line number (answering Household questionnaire)</security>
  <embargo>Respondent's line number (answering Household questionnaire)</embargo>
  <respUnit>Respondent's line number (answering Household questionnaire)</respUnit>
  <qstn>
    <qstnLit>1) NUMBER</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Not in household</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>LINENOHHRESP (HV003) reports the line number in the household schedule of the person responding to the questions asked in the household questionnaire. If nobody in the household was available for the interview, this variable is coded "00."</txt>
  <concept>
    <title>Identifiers Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_HHWEIGHT" name="H_HHWEIGHT" files="H" intrvl="discrete">
  <labl>Household sample weight (6 decimals)</labl>
  <imputation>Household sample weight (6 decimals)</imputation>
  <security>Household sample weight (6 decimals)</security>
  <embargo>Household sample weight (6 decimals)</embargo>
  <respUnit>Household sample weight (6 decimals)</respUnit>
  <txt>HHWEIGHT (HV005) is an 8-digit numeric variable, which should be used as a weighting factor to produce representative numbers accurately describing the surveyed population, when household members are the unit of analysis.</txt>
  <concept>
    <title>Weights and subsample selection Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_POPWT" name="H_POPWT" files="H" intrvl="discrete">
  <labl>Population factor weight</labl>
  <imputation>Population factor weight</imputation>
  <security>Population factor weight</security>
  <embargo>Population factor weight</embargo>
  <respUnit>Population factor weight</respUnit>
  <txt>POPWT is a population adjustment factor created by IPUMS to generate count estimates of household members for samples that are nationally representative. See our documentation [URL omitted from DDI.] for more information about how POPWT was created.</txt>
  <concept>
    <title>Weights and subsample selection Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_ELIGFEMNO" name="H_ELIGFEMNO" files="H" intrvl="discrete">
  <labl>Number of eligible women in household</labl>
  <imputation>Number of eligible women in household</imputation>
  <security>Number of eligible women in household</security>
  <embargo>Number of eligible women in household</embargo>
  <respUnit>Number of eligible women in household</respUnit>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ELIGFEMNO (HV010) reports the number of women in the household who are eligible for the individual survey (for women of childbearing age). The selection criteria for eligibility are usually women age 15 to 49. In some countries, the selection criteria are further restricted to ever-married women.</txt>
  <concept>
    <title>Weights and subsample selection Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_ELIGFEMINT" name="H_ELIGFEMINT" files="H" intrvl="discrete">
  <labl>Eligibility for female interview</labl>
  <imputation>Eligibility for female interview</imputation>
  <security>Eligibility for female interview</security>
  <embargo>Eligibility for female interview</embargo>
  <respUnit>Eligibility for female interview</respUnit>
  <qstn>
    <qstnLit>16) ELIGIBILITY OF WOMEN:
CIRCLE THE LINE NUMBER OF WOMEN BETWEEN THE AGES OF 15 AND 49 (SEE QUESTIONS 6 AND 7).

IF HOUSEHOLD HAS MORE THAN 20 MEMBERS, RECORD 'N.A.'</qstnLit>
  </qstn>
  <catgry>
    <labl>Not eligible</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Eligible</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ELIGFEMINT (HV117) indicates whether the household member is eligible for the individual women's survey (i.e., those who could be part of the individual recode [IR] file). 

According to the DHS recode manuals:
 In most surveys, both de facto and non-de facto women are interviewed; however, women are included in the individual recode only if they were eligible for the interview and were de facto members of the household. (A few surveys use a de jure sample, and the above selection does not apply in those countries.)</txt>
  <concept>
    <title>Weights and subsample selection Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_ELIGMALNO" name="H_ELIGMALNO" files="H" intrvl="discrete">
  <labl>Number of eligible men in household</labl>
  <imputation>Number of eligible men in household</imputation>
  <security>Number of eligible men in household</security>
  <embargo>Number of eligible men in household</embargo>
  <respUnit>Number of eligible men in household</respUnit>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <txt>ELIGMALNO (HV011) reports the number of men in the household who are eligible for the men's or husband's survey. The selection criteria for eligibility are country-specific.</txt>
  <concept>
    <title>Weights and subsample selection Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_ELIGMALEINT" name="H_ELIGMALEINT" files="H" intrvl="discrete">
  <labl>Eligible for men's survey</labl>
  <imputation>Eligible for men's survey</imputation>
  <security>Eligible for men's survey</security>
  <embargo>Eligible for men's survey</embargo>
  <respUnit>Eligible for men's survey</respUnit>
  <qstn>
    <qstnLit>17) HUSBAND ELIGIBILITY: FOR EACH ELIGIBLE PARTNERED WOMAN:
Does the husband/partner of (NAME) currently live in this household, or did he sleep here last night?

 IF YES: What is his name?

RECORD THE HUSBAND'S LINE NUMBER NEXT TO HIS WIFE'S.

IF NO: RECORD '00' NEXT TO HIS WIFE'S LINE NUMBER.

LINE NUMBER___</qstnLit>
  </qstn>
  <catgry>
    <labl>Not eligible</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Eligible</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ELIGMALEINT (HV118) indicates whether the household member is eligible for the individual men's survey.</txt>
  <concept>
    <title>Weights and subsample selection Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_HHMWEIGHT" name="H_HHMWEIGHT" files="H" dcml="6" intrvl="discrete">
  <labl>Household weight for male subsample (6 decimals)</labl>
  <imputation>Household weight for male subsample (6 decimals)</imputation>
  <security>Household weight for male subsample (6 decimals)</security>
  <embargo>Household weight for male subsample (6 decimals)</embargo>
  <respUnit>Household weight for male subsample (6 decimals)</respUnit>
  <catgry>
    <catValu>00000000</catValu>
  </catgry>
  <txt>HHMWEIGHT (HV028) is an 8-digit numeric variable, which should be used as a weighting factor for the subset of households that were randomly selected for the men's or husband's survey. HHMWEIGHT should be used to weight all estimates produced using the households selected for the men's or husband's survey. For households not included in the men's or husband's survey, HHMWEIGHT is set to zero. 

Note: For researchers using a flat data file (.dat), HHMWEIGHT contains 6 implied decimal places, and researchers should divide this variable by 1,000,000 before applying it as a weighting factor. For all other data formats, HHMWEIGHT has already been adjusted, and researchers do not need to make any changes before using this variable.</txt>
  <concept>
    <title>Weights and subsample selection Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_HHEADLINENO" name="H_HHEADLINENO" files="H" intrvl="discrete">
  <labl>Line number of the head of household</labl>
  <imputation>Line number of the head of household</imputation>
  <security>Line number of the head of household</security>
  <embargo>Line number of the head of household</embargo>
  <respUnit>Line number of the head of household</respUnit>
  <qstn>
    <qstnLit>1) NUMBER</qstnLit>
  </qstn>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>HHEADLINENO (HV218) reports the line number of the head of the household. According to the DHS recode manual:

This should always be 01; however, there are some households in certain surveys in which the head of household has not been listed as the first person in the household listing.

To determine the proportion of households (rather than persons in households) with a given characteristic (e.g., the share of households with electricity), researchers should restrict the sample of household members to one representative per household.  Such restriction can be done by selecting only persons with line number 01 in the household roster (using HHLINENO) or selecting only persons coded as head of household in HHRELATE).  HHEADLINENO demonstrates that these two criteria usually but not always identify the same person as a representative of the household.</txt>
  <concept>
    <title>Weights and subsample selection Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_HHINTYR" name="H_HHINTYR" files="H" intrvl="discrete">
  <labl>Year of interview</labl>
  <imputation>Year of interview</imputation>
  <security>Year of interview</security>
  <embargo>Year of interview</embargo>
  <respUnit>Year of interview</respUnit>
  <catgry>
    <catValu>2018</catValu>
    <labl>2018</labl>
  </catgry>
  <catgry>
    <catValu>2017</catValu>
    <labl>2017</labl>
  </catgry>
  <catgry>
    <catValu>1990</catValu>
    <labl>1990</labl>
  </catgry>
  <catgry>
    <catValu>1991</catValu>
    <labl>1991</labl>
  </catgry>
  <catgry>
    <catValu>1992</catValu>
    <labl>1992</labl>
  </catgry>
  <catgry>
    <catValu>1993</catValu>
    <labl>1993</labl>
  </catgry>
  <catgry>
    <catValu>1994</catValu>
    <labl>1994</labl>
  </catgry>
  <catgry>
    <catValu>1995</catValu>
    <labl>1995</labl>
  </catgry>
  <catgry>
    <catValu>1996</catValu>
    <labl>1996</labl>
  </catgry>
  <catgry>
    <catValu>1997</catValu>
    <labl>1997</labl>
  </catgry>
  <catgry>
    <catValu>1998</catValu>
    <labl>1998</labl>
  </catgry>
  <catgry>
    <catValu>1999</catValu>
    <labl>1999</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>2000</labl>
  </catgry>
  <catgry>
    <catValu>2001</catValu>
    <labl>2001</labl>
  </catgry>
  <catgry>
    <catValu>2002</catValu>
    <labl>2002</labl>
  </catgry>
  <catgry>
    <catValu>2003</catValu>
    <labl>2003</labl>
  </catgry>
  <catgry>
    <catValu>2004</catValu>
    <labl>2004</labl>
  </catgry>
  <catgry>
    <catValu>2005</catValu>
    <labl>2005</labl>
  </catgry>
  <catgry>
    <catValu>2006</catValu>
    <labl>2006</labl>
  </catgry>
  <catgry>
    <catValu>2007</catValu>
    <labl>2007</labl>
  </catgry>
  <catgry>
    <catValu>2008</catValu>
    <labl>2008</labl>
  </catgry>
  <catgry>
    <catValu>2009</catValu>
    <labl>2009</labl>
  </catgry>
  <catgry>
    <catValu>2010</catValu>
    <labl>2010</labl>
  </catgry>
  <catgry>
    <catValu>2011</catValu>
    <labl>2011</labl>
  </catgry>
  <catgry>
    <catValu>2012</catValu>
    <labl>2012</labl>
  </catgry>
  <catgry>
    <catValu>2013</catValu>
    <labl>2013</labl>
  </catgry>
  <catgry>
    <catValu>2014</catValu>
    <labl>2014</labl>
  </catgry>
  <catgry>
    <catValu>2015</catValu>
    <labl>2015</labl>
  </catgry>
  <catgry>
    <catValu>2016</catValu>
    <labl>2016</labl>
  </catgry>
  <txt>HHINTYR (HV007) reports the year the interview took place. 

The dates reported in HHINTYR are based on the Gregorian calendar.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_HHINTMO" name="H_HHINTMO" files="H" intrvl="discrete">
  <labl>Month of interview</labl>
  <imputation>Month of interview</imputation>
  <security>Month of interview</security>
  <embargo>Month of interview</embargo>
  <respUnit>Month of interview</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>January</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>February</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>March</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>April</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>May</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>June</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>July</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>August</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>September</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>October</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>November</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>December</labl>
  </catgry>
  <txt>HHINTMO (HV006) reports the month when the interview took place, according to the Gregorian calendar.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_HHINTDAY" name="H_HHINTDAY" files="H" intrvl="discrete">
  <labl>Day of interview</labl>
  <imputation>Day of interview</imputation>
  <security>Day of interview</security>
  <embargo>Day of interview</embargo>
  <respUnit>Day of interview</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <txt>HHINTDAY (HV016) reports the day of the month on which the interview took place. HHINTDAY uses dates expressed in the Gregorian calendar.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_HHINTCMC" name="H_HHINTCMC" files="H" intrvl="contin">
  <labl>Century month date of interview</labl>
  <imputation>Century month date of interview</imputation>
  <security>Century month date of interview</security>
  <embargo>Century month date of interview</embargo>
  <respUnit>Century month date of interview</respUnit>
  <txt>HHINTCMC (HV008) reports the century month code for the date on which the interview took place.

Century month codes (CMC) are particularly useful for checking the consistency of dates, calculating intervals between events, and imputing dates when the information for an event is missing or partially complete.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC - 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year - 1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006) [URL omitted from DDI.].

The century month codes reported in HHINTCMC are calculated using the Gregorian calculator.</txt>
  <codInstr>HHINTCMC (HV008) is a 4-digit variable.</codInstr>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_INTSTARTCMC" name="H_INTSTARTCMC" files="H" intrvl="discrete">
  <labl>Century month code (CMC) for start of survey</labl>
  <imputation>Century month code (CMC) for start of survey</imputation>
  <security>Century month code (CMC) for start of survey</security>
  <embargo>Century month code (CMC) for start of survey</embargo>
  <respUnit>Century month code (CMC) for start of survey</respUnit>
  <catgry>
    <catValu>1415</catValu>
    <labl>1415</labl>
  </catgry>
  <catgry>
    <catValu>1414</catValu>
    <labl>1414</labl>
  </catgry>
  <catgry>
    <catValu>1399</catValu>
    <labl>1399</labl>
  </catgry>
  <catgry>
    <catValu>1397</catValu>
    <labl>1397</labl>
  </catgry>
  <catgry>
    <catValu>1408</catValu>
    <labl>1408</labl>
  </catgry>
  <catgry>
    <catValu>1402</catValu>
    <labl>1402</labl>
  </catgry>
  <catgry>
    <catValu>1398</catValu>
    <labl>1398</labl>
  </catgry>
  <catgry>
    <catValu>1393</catValu>
    <labl>1393</labl>
  </catgry>
  <catgry>
    <catValu>1392</catValu>
    <labl>1392</labl>
  </catgry>
  <catgry>
    <catValu>1391</catValu>
    <labl>1391</labl>
  </catgry>
  <catgry>
    <catValu>1390</catValu>
    <labl>1390</labl>
  </catgry>
  <catgry>
    <catValu>1388</catValu>
    <labl>1388</labl>
  </catgry>
  <catgry>
    <catValu>1387</catValu>
    <labl>1387</labl>
  </catgry>
  <catgry>
    <catValu>1386</catValu>
    <labl>1386</labl>
  </catgry>
  <catgry>
    <catValu>1381</catValu>
    <labl>1381</labl>
  </catgry>
  <catgry>
    <catValu>1379</catValu>
    <labl>1379</labl>
  </catgry>
  <catgry>
    <catValu>1378</catValu>
    <labl>1378</labl>
  </catgry>
  <catgry>
    <catValu>1377</catValu>
    <labl>1377</labl>
  </catgry>
  <catgry>
    <catValu>1374</catValu>
    <labl>1374</labl>
  </catgry>
  <catgry>
    <catValu>1373</catValu>
    <labl>1373</labl>
  </catgry>
  <catgry>
    <catValu>1372</catValu>
    <labl>1372</labl>
  </catgry>
  <catgry>
    <catValu>1369</catValu>
    <labl>1369</labl>
  </catgry>
  <catgry>
    <catValu>1365</catValu>
    <labl>1365</labl>
  </catgry>
  <catgry>
    <catValu>1364</catValu>
    <labl>1364</labl>
  </catgry>
  <catgry>
    <catValu>1361</catValu>
    <labl>1361</labl>
  </catgry>
  <catgry>
    <catValu>1358</catValu>
    <labl>1358</labl>
  </catgry>
  <catgry>
    <catValu>1355</catValu>
    <labl>1355</labl>
  </catgry>
  <catgry>
    <catValu>1354</catValu>
    <labl>1354</labl>
  </catgry>
  <catgry>
    <catValu>1353</catValu>
    <labl>1353</labl>
  </catgry>
  <catgry>
    <catValu>1350</catValu>
    <labl>1350</labl>
  </catgry>
  <catgry>
    <catValu>1346</catValu>
    <labl>1346</labl>
  </catgry>
  <catgry>
    <catValu>1344</catValu>
    <labl>1344</labl>
  </catgry>
  <catgry>
    <catValu>1339</catValu>
    <labl>1339</labl>
  </catgry>
  <catgry>
    <catValu>1338</catValu>
    <labl>1338</labl>
  </catgry>
  <catgry>
    <catValu>1333</catValu>
    <labl>1333</labl>
  </catgry>
  <catgry>
    <catValu>1332</catValu>
    <labl>1332</labl>
  </catgry>
  <catgry>
    <catValu>1330</catValu>
    <labl>1330</labl>
  </catgry>
  <catgry>
    <catValu>1329</catValu>
    <labl>1329</labl>
  </catgry>
  <catgry>
    <catValu>1328</catValu>
    <labl>1328</labl>
  </catgry>
  <catgry>
    <catValu>1327</catValu>
    <labl>1327</labl>
  </catgry>
  <catgry>
    <catValu>1326</catValu>
    <labl>1326</labl>
  </catgry>
  <catgry>
    <catValu>1325</catValu>
    <labl>1325</labl>
  </catgry>
  <catgry>
    <catValu>1320</catValu>
    <labl>1320</labl>
  </catgry>
  <catgry>
    <catValu>1318</catValu>
    <labl>1318</labl>
  </catgry>
  <catgry>
    <catValu>1307</catValu>
    <labl>1307</labl>
  </catgry>
  <catgry>
    <catValu>1305</catValu>
    <labl>1305</labl>
  </catgry>
  <catgry>
    <catValu>1302</catValu>
    <labl>1302</labl>
  </catgry>
  <catgry>
    <catValu>1299</catValu>
    <labl>1299</labl>
  </catgry>
  <catgry>
    <catValu>1296</catValu>
    <labl>1296</labl>
  </catgry>
  <catgry>
    <catValu>1290</catValu>
    <labl>1290</labl>
  </catgry>
  <catgry>
    <catValu>1288</catValu>
    <labl>1288</labl>
  </catgry>
  <catgry>
    <catValu>1287</catValu>
    <labl>1287</labl>
  </catgry>
  <catgry>
    <catValu>1285</catValu>
    <labl>1285</labl>
  </catgry>
  <catgry>
    <catValu>1283</catValu>
    <labl>1283</labl>
  </catgry>
  <catgry>
    <catValu>1281</catValu>
    <labl>1281</labl>
  </catgry>
  <catgry>
    <catValu>1280</catValu>
    <labl>1280</labl>
  </catgry>
  <catgry>
    <catValu>1277</catValu>
    <labl>1277</labl>
  </catgry>
  <catgry>
    <catValu>1274</catValu>
    <labl>1274</labl>
  </catgry>
  <catgry>
    <catValu>1273</catValu>
    <labl>1273</labl>
  </catgry>
  <catgry>
    <catValu>1271</catValu>
    <labl>1271</labl>
  </catgry>
  <catgry>
    <catValu>1269</catValu>
    <labl>1269</labl>
  </catgry>
  <catgry>
    <catValu>1268</catValu>
    <labl>1268</labl>
  </catgry>
  <catgry>
    <catValu>1264</catValu>
    <labl>1264</labl>
  </catgry>
  <catgry>
    <catValu>1262</catValu>
    <labl>1262</labl>
  </catgry>
  <catgry>
    <catValu>1258</catValu>
    <labl>1258</labl>
  </catgry>
  <catgry>
    <catValu>1257</catValu>
    <labl>1257</labl>
  </catgry>
  <catgry>
    <catValu>1255</catValu>
    <labl>1255</labl>
  </catgry>
  <catgry>
    <catValu>1250</catValu>
    <labl>1250</labl>
  </catgry>
  <catgry>
    <catValu>1249</catValu>
    <labl>1249</labl>
  </catgry>
  <catgry>
    <catValu>1248</catValu>
    <labl>1248</labl>
  </catgry>
  <catgry>
    <catValu>1247</catValu>
    <labl>1247</labl>
  </catgry>
  <catgry>
    <catValu>1246</catValu>
    <labl>1246</labl>
  </catgry>
  <catgry>
    <catValu>1244</catValu>
    <labl>1244</labl>
  </catgry>
  <catgry>
    <catValu>1243</catValu>
    <labl>1243</labl>
  </catgry>
  <catgry>
    <catValu>1242</catValu>
    <labl>1242</labl>
  </catgry>
  <catgry>
    <catValu>1241</catValu>
    <labl>1241</labl>
  </catgry>
  <catgry>
    <catValu>1240</catValu>
    <labl>1240</labl>
  </catgry>
  <catgry>
    <catValu>1239</catValu>
    <labl>1239</labl>
  </catgry>
  <catgry>
    <catValu>1231</catValu>
    <labl>1231</labl>
  </catgry>
  <catgry>
    <catValu>1223</catValu>
    <labl>1223</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>1220</labl>
  </catgry>
  <catgry>
    <catValu>1213</catValu>
    <labl>1213</labl>
  </catgry>
  <catgry>
    <catValu>1209</catValu>
    <labl>1209</labl>
  </catgry>
  <catgry>
    <catValu>1207</catValu>
    <labl>1207</labl>
  </catgry>
  <catgry>
    <catValu>1206</catValu>
    <labl>1206</labl>
  </catgry>
  <catgry>
    <catValu>1202</catValu>
    <labl>1202</labl>
  </catgry>
  <catgry>
    <catValu>1199</catValu>
    <labl>1199</labl>
  </catgry>
  <catgry>
    <catValu>1197</catValu>
    <labl>1197</labl>
  </catgry>
  <catgry>
    <catValu>1193</catValu>
    <labl>1193</labl>
  </catgry>
  <catgry>
    <catValu>1191</catValu>
    <labl>1191</labl>
  </catgry>
  <catgry>
    <catValu>1187</catValu>
    <labl>1187</labl>
  </catgry>
  <catgry>
    <catValu>1185</catValu>
    <labl>1185</labl>
  </catgry>
  <catgry>
    <catValu>1184</catValu>
    <labl>1184</labl>
  </catgry>
  <catgry>
    <catValu>1179</catValu>
    <labl>1179</labl>
  </catgry>
  <catgry>
    <catValu>1178</catValu>
    <labl>1178</labl>
  </catgry>
  <catgry>
    <catValu>1177</catValu>
    <labl>1177</labl>
  </catgry>
  <catgry>
    <catValu>1173</catValu>
    <labl>1173</labl>
  </catgry>
  <catgry>
    <catValu>1170</catValu>
    <labl>1170</labl>
  </catgry>
  <catgry>
    <catValu>1167</catValu>
    <labl>1167</labl>
  </catgry>
  <catgry>
    <catValu>1165</catValu>
    <labl>1165</labl>
  </catgry>
  <catgry>
    <catValu>1164</catValu>
    <labl>1164</labl>
  </catgry>
  <catgry>
    <catValu>1163</catValu>
    <labl>1163</labl>
  </catgry>
  <catgry>
    <catValu>1160</catValu>
    <labl>1160</labl>
  </catgry>
  <catgry>
    <catValu>1159</catValu>
    <labl>1159</labl>
  </catgry>
  <catgry>
    <catValu>1158</catValu>
    <labl>1158</labl>
  </catgry>
  <catgry>
    <catValu>1153</catValu>
    <labl>1153</labl>
  </catgry>
  <catgry>
    <catValu>1151</catValu>
    <labl>1151</labl>
  </catgry>
  <catgry>
    <catValu>1143</catValu>
    <labl>1143</labl>
  </catgry>
  <catgry>
    <catValu>1135</catValu>
    <labl>1135</labl>
  </catgry>
  <catgry>
    <catValu>1134</catValu>
    <labl>1134</labl>
  </catgry>
  <catgry>
    <catValu>1127</catValu>
    <labl>1127</labl>
  </catgry>
  <catgry>
    <catValu>1125</catValu>
    <labl>1125</labl>
  </catgry>
  <catgry>
    <catValu>1124</catValu>
    <labl>1124</labl>
  </catgry>
  <catgry>
    <catValu>1118</catValu>
    <labl>1118</labl>
  </catgry>
  <catgry>
    <catValu>1116</catValu>
    <labl>1116</labl>
  </catgry>
  <catgry>
    <catValu>1115</catValu>
    <labl>1115</labl>
  </catgry>
  <catgry>
    <catValu>1113</catValu>
    <labl>1113</labl>
  </catgry>
  <catgry>
    <catValu>1111</catValu>
    <labl>1111</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>1110</labl>
  </catgry>
  <catgry>
    <catValu>1109</catValu>
    <labl>1109</labl>
  </catgry>
  <catgry>
    <catValu>1108</catValu>
    <labl>1108</labl>
  </catgry>
  <catgry>
    <catValu>1107</catValu>
    <labl>1107</labl>
  </catgry>
  <catgry>
    <catValu>1105</catValu>
    <labl>1105</labl>
  </catgry>
  <catgry>
    <catValu>1103</catValu>
    <labl>1103</labl>
  </catgry>
  <catgry>
    <catValu>1102</catValu>
    <labl>1102</labl>
  </catgry>
  <catgry>
    <catValu>1096</catValu>
    <labl>1096</labl>
  </catgry>
  <catgry>
    <catValu>1092</catValu>
    <labl>1092</labl>
  </catgry>
  <catgry>
    <catValu>1090</catValu>
    <labl>1090</labl>
  </catgry>
  <catgry>
    <catValu>1084</catValu>
    <labl>1084</labl>
  </catgry>
  <catgry>
    <catValu>1079</catValu>
    <labl>1079</labl>
  </catgry>
  <catgry>
    <catValu>1068</catValu>
    <labl>1068</labl>
  </catgry>
  <catgry>
    <catValu>1066</catValu>
    <labl>1066</labl>
  </catgry>
  <catgry>
    <catValu>1065</catValu>
    <labl>1065</labl>
  </catgry>
  <catgry>
    <catValu>1062</catValu>
    <labl>1062</labl>
  </catgry>
  <catgry>
    <catValu>1058</catValu>
    <labl>1058</labl>
  </catgry>
  <catgry>
    <catValu>1049</catValu>
    <labl>1049</labl>
  </catgry>
  <catgry>
    <catValu>1047</catValu>
    <labl>1047</labl>
  </catgry>
  <catgry>
    <catValu>1036</catValu>
    <labl>1036</labl>
  </catgry>
  <txt>INTSTARTCMC reports the century month code (CMC) for the first month the survey was fielded, according to the DHS Program website.

The contextual variables in IPUMS DHS use the month in INTSTARTCMC as the month of the survey start date. The related variable INTENDCMC reports the century month code for the last month the survey was fielded, according to the DHS Program website.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC minus 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year - 1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006). [URL omitted from DDI.].

The century month codes reported in INTSTARTCMC are calculated using the Gregorian calculator.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_INTENDCMC" name="H_INTENDCMC" files="H" intrvl="discrete">
  <labl>Century month code (CMC) for end of survey</labl>
  <imputation>Century month code (CMC) for end of survey</imputation>
  <security>Century month code (CMC) for end of survey</security>
  <embargo>Century month code (CMC) for end of survey</embargo>
  <respUnit>Century month code (CMC) for end of survey</respUnit>
  <catgry>
    <catValu>1418</catValu>
    <labl>1418</labl>
  </catgry>
  <catgry>
    <catValu>1417</catValu>
    <labl>1417</labl>
  </catgry>
  <catgry>
    <catValu>1403</catValu>
    <labl>1403</labl>
  </catgry>
  <catgry>
    <catValu>1420</catValu>
    <labl>1420</labl>
  </catgry>
  <catgry>
    <catValu>1039</catValu>
    <labl>1039</labl>
  </catgry>
  <catgry>
    <catValu>1051</catValu>
    <labl>1051</labl>
  </catgry>
  <catgry>
    <catValu>1052</catValu>
    <labl>1052</labl>
  </catgry>
  <catgry>
    <catValu>1062</catValu>
    <labl>1062</labl>
  </catgry>
  <catgry>
    <catValu>1066</catValu>
    <labl>1066</labl>
  </catgry>
  <catgry>
    <catValu>1069</catValu>
    <labl>1069</labl>
  </catgry>
  <catgry>
    <catValu>1070</catValu>
    <labl>1070</labl>
  </catgry>
  <catgry>
    <catValu>1073</catValu>
    <labl>1073</labl>
  </catgry>
  <catgry>
    <catValu>1085</catValu>
    <labl>1085</labl>
  </catgry>
  <catgry>
    <catValu>1090</catValu>
    <labl>1090</labl>
  </catgry>
  <catgry>
    <catValu>1092</catValu>
    <labl>1092</labl>
  </catgry>
  <catgry>
    <catValu>1097</catValu>
    <labl>1097</labl>
  </catgry>
  <catgry>
    <catValu>1101</catValu>
    <labl>1101</labl>
  </catgry>
  <catgry>
    <catValu>1105</catValu>
    <labl>1105</labl>
  </catgry>
  <catgry>
    <catValu>1107</catValu>
    <labl>1107</labl>
  </catgry>
  <catgry>
    <catValu>1108</catValu>
    <labl>1108</labl>
  </catgry>
  <catgry>
    <catValu>1109</catValu>
    <labl>1109</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>1110</labl>
  </catgry>
  <catgry>
    <catValu>1114</catValu>
    <labl>1114</labl>
  </catgry>
  <catgry>
    <catValu>1115</catValu>
    <labl>1115</labl>
  </catgry>
  <catgry>
    <catValu>1118</catValu>
    <labl>1118</labl>
  </catgry>
  <catgry>
    <catValu>1119</catValu>
    <labl>1119</labl>
  </catgry>
  <catgry>
    <catValu>1124</catValu>
    <labl>1124</labl>
  </catgry>
  <catgry>
    <catValu>1125</catValu>
    <labl>1125</labl>
  </catgry>
  <catgry>
    <catValu>1126</catValu>
    <labl>1126</labl>
  </catgry>
  <catgry>
    <catValu>1130</catValu>
    <labl>1130</labl>
  </catgry>
  <catgry>
    <catValu>1131</catValu>
    <labl>1131</labl>
  </catgry>
  <catgry>
    <catValu>1139</catValu>
    <labl>1139</labl>
  </catgry>
  <catgry>
    <catValu>1148</catValu>
    <labl>1148</labl>
  </catgry>
  <catgry>
    <catValu>1153</catValu>
    <labl>1153</labl>
  </catgry>
  <catgry>
    <catValu>1157</catValu>
    <labl>1157</labl>
  </catgry>
  <catgry>
    <catValu>1158</catValu>
    <labl>1158</labl>
  </catgry>
  <catgry>
    <catValu>1160</catValu>
    <labl>1160</labl>
  </catgry>
  <catgry>
    <catValu>1163</catValu>
    <labl>1163</labl>
  </catgry>
  <catgry>
    <catValu>1165</catValu>
    <labl>1165</labl>
  </catgry>
  <catgry>
    <catValu>1167</catValu>
    <labl>1167</labl>
  </catgry>
  <catgry>
    <catValu>1168</catValu>
    <labl>1168</labl>
  </catgry>
  <catgry>
    <catValu>1171</catValu>
    <labl>1171</labl>
  </catgry>
  <catgry>
    <catValu>1174</catValu>
    <labl>1174</labl>
  </catgry>
  <catgry>
    <catValu>1176</catValu>
    <labl>1176</labl>
  </catgry>
  <catgry>
    <catValu>1182</catValu>
    <labl>1182</labl>
  </catgry>
  <catgry>
    <catValu>1183</catValu>
    <labl>1183</labl>
  </catgry>
  <catgry>
    <catValu>1185</catValu>
    <labl>1185</labl>
  </catgry>
  <catgry>
    <catValu>1187</catValu>
    <labl>1187</labl>
  </catgry>
  <catgry>
    <catValu>1190</catValu>
    <labl>1190</labl>
  </catgry>
  <catgry>
    <catValu>1191</catValu>
    <labl>1191</labl>
  </catgry>
  <catgry>
    <catValu>1193</catValu>
    <labl>1193</labl>
  </catgry>
  <catgry>
    <catValu>1195</catValu>
    <labl>1195</labl>
  </catgry>
  <catgry>
    <catValu>1199</catValu>
    <labl>1199</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>1200</labl>
  </catgry>
  <catgry>
    <catValu>1203</catValu>
    <labl>1203</labl>
  </catgry>
  <catgry>
    <catValu>1204</catValu>
    <labl>1204</labl>
  </catgry>
  <catgry>
    <catValu>1205</catValu>
    <labl>1205</labl>
  </catgry>
  <catgry>
    <catValu>1207</catValu>
    <labl>1207</labl>
  </catgry>
  <catgry>
    <catValu>1208</catValu>
    <labl>1208</labl>
  </catgry>
  <catgry>
    <catValu>1211</catValu>
    <labl>1211</labl>
  </catgry>
  <catgry>
    <catValu>1212</catValu>
    <labl>1212</labl>
  </catgry>
  <catgry>
    <catValu>1215</catValu>
    <labl>1215</labl>
  </catgry>
  <catgry>
    <catValu>1217</catValu>
    <labl>1217</labl>
  </catgry>
  <catgry>
    <catValu>1218</catValu>
    <labl>1218</labl>
  </catgry>
  <catgry>
    <catValu>1223</catValu>
    <labl>1223</labl>
  </catgry>
  <catgry>
    <catValu>1229</catValu>
    <labl>1229</labl>
  </catgry>
  <catgry>
    <catValu>1233</catValu>
    <labl>1233</labl>
  </catgry>
  <catgry>
    <catValu>1242</catValu>
    <labl>1242</labl>
  </catgry>
  <catgry>
    <catValu>1244</catValu>
    <labl>1244</labl>
  </catgry>
  <catgry>
    <catValu>1245</catValu>
    <labl>1245</labl>
  </catgry>
  <catgry>
    <catValu>1246</catValu>
    <labl>1246</labl>
  </catgry>
  <catgry>
    <catValu>1247</catValu>
    <labl>1247</labl>
  </catgry>
  <catgry>
    <catValu>1249</catValu>
    <labl>1249</labl>
  </catgry>
  <catgry>
    <catValu>1250</catValu>
    <labl>1250</labl>
  </catgry>
  <catgry>
    <catValu>1251</catValu>
    <labl>1251</labl>
  </catgry>
  <catgry>
    <catValu>1253</catValu>
    <labl>1253</labl>
  </catgry>
  <catgry>
    <catValu>1256</catValu>
    <labl>1256</labl>
  </catgry>
  <catgry>
    <catValu>1261</catValu>
    <labl>1261</labl>
  </catgry>
  <catgry>
    <catValu>1262</catValu>
    <labl>1262</labl>
  </catgry>
  <catgry>
    <catValu>1265</catValu>
    <labl>1265</labl>
  </catgry>
  <catgry>
    <catValu>1266</catValu>
    <labl>1266</labl>
  </catgry>
  <catgry>
    <catValu>1267</catValu>
    <labl>1267</labl>
  </catgry>
  <catgry>
    <catValu>1268</catValu>
    <labl>1268</labl>
  </catgry>
  <catgry>
    <catValu>1272</catValu>
    <labl>1272</labl>
  </catgry>
  <catgry>
    <catValu>1274</catValu>
    <labl>1274</labl>
  </catgry>
  <catgry>
    <catValu>1275</catValu>
    <labl>1275</labl>
  </catgry>
  <catgry>
    <catValu>1276</catValu>
    <labl>1276</labl>
  </catgry>
  <catgry>
    <catValu>1277</catValu>
    <labl>1277</labl>
  </catgry>
  <catgry>
    <catValu>1280</catValu>
    <labl>1280</labl>
  </catgry>
  <catgry>
    <catValu>1282</catValu>
    <labl>1282</labl>
  </catgry>
  <catgry>
    <catValu>1283</catValu>
    <labl>1283</labl>
  </catgry>
  <catgry>
    <catValu>1284</catValu>
    <labl>1284</labl>
  </catgry>
  <catgry>
    <catValu>1286</catValu>
    <labl>1286</labl>
  </catgry>
  <catgry>
    <catValu>1287</catValu>
    <labl>1287</labl>
  </catgry>
  <catgry>
    <catValu>1292</catValu>
    <labl>1292</labl>
  </catgry>
  <catgry>
    <catValu>1294</catValu>
    <labl>1294</labl>
  </catgry>
  <catgry>
    <catValu>1295</catValu>
    <labl>1295</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>1300</labl>
  </catgry>
  <catgry>
    <catValu>1302</catValu>
    <labl>1302</labl>
  </catgry>
  <catgry>
    <catValu>1306</catValu>
    <labl>1306</labl>
  </catgry>
  <catgry>
    <catValu>1307</catValu>
    <labl>1307</labl>
  </catgry>
  <catgry>
    <catValu>1310</catValu>
    <labl>1310</labl>
  </catgry>
  <catgry>
    <catValu>1316</catValu>
    <labl>1316</labl>
  </catgry>
  <catgry>
    <catValu>1320</catValu>
    <labl>1320</labl>
  </catgry>
  <catgry>
    <catValu>1321</catValu>
    <labl>1321</labl>
  </catgry>
  <catgry>
    <catValu>1325</catValu>
    <labl>1325</labl>
  </catgry>
  <catgry>
    <catValu>1331</catValu>
    <labl>1331</labl>
  </catgry>
  <catgry>
    <catValu>1333</catValu>
    <labl>1333</labl>
  </catgry>
  <catgry>
    <catValu>1335</catValu>
    <labl>1335</labl>
  </catgry>
  <catgry>
    <catValu>1336</catValu>
    <labl>1336</labl>
  </catgry>
  <catgry>
    <catValu>1337</catValu>
    <labl>1337</labl>
  </catgry>
  <catgry>
    <catValu>1338</catValu>
    <labl>1338</labl>
  </catgry>
  <catgry>
    <catValu>1340</catValu>
    <labl>1340</labl>
  </catgry>
  <catgry>
    <catValu>1343</catValu>
    <labl>1343</labl>
  </catgry>
  <catgry>
    <catValu>1344</catValu>
    <labl>1344</labl>
  </catgry>
  <catgry>
    <catValu>1347</catValu>
    <labl>1347</labl>
  </catgry>
  <catgry>
    <catValu>1349</catValu>
    <labl>1349</labl>
  </catgry>
  <catgry>
    <catValu>1350</catValu>
    <labl>1350</labl>
  </catgry>
  <catgry>
    <catValu>1354</catValu>
    <labl>1354</labl>
  </catgry>
  <catgry>
    <catValu>1356</catValu>
    <labl>1356</labl>
  </catgry>
  <catgry>
    <catValu>1358</catValu>
    <labl>1358</labl>
  </catgry>
  <catgry>
    <catValu>1360</catValu>
    <labl>1360</labl>
  </catgry>
  <catgry>
    <catValu>1362</catValu>
    <labl>1362</labl>
  </catgry>
  <catgry>
    <catValu>1365</catValu>
    <labl>1365</labl>
  </catgry>
  <catgry>
    <catValu>1367</catValu>
    <labl>1367</labl>
  </catgry>
  <catgry>
    <catValu>1370</catValu>
    <labl>1370</labl>
  </catgry>
  <catgry>
    <catValu>1372</catValu>
    <labl>1372</labl>
  </catgry>
  <catgry>
    <catValu>1374</catValu>
    <labl>1374</labl>
  </catgry>
  <catgry>
    <catValu>1378</catValu>
    <labl>1378</labl>
  </catgry>
  <catgry>
    <catValu>1379</catValu>
    <labl>1379</labl>
  </catgry>
  <catgry>
    <catValu>1380</catValu>
    <labl>1380</labl>
  </catgry>
  <catgry>
    <catValu>1384</catValu>
    <labl>1384</labl>
  </catgry>
  <catgry>
    <catValu>1390</catValu>
    <labl>1390</labl>
  </catgry>
  <catgry>
    <catValu>1392</catValu>
    <labl>1392</labl>
  </catgry>
  <catgry>
    <catValu>1394</catValu>
    <labl>1394</labl>
  </catgry>
  <catgry>
    <catValu>1398</catValu>
    <labl>1398</labl>
  </catgry>
  <catgry>
    <catValu>1399</catValu>
    <labl>1399</labl>
  </catgry>
  <catgry>
    <catValu>1402</catValu>
    <labl>1402</labl>
  </catgry>
  <catgry>
    <catValu>1404</catValu>
    <labl>1404</labl>
  </catgry>
  <catgry>
    <catValu>1405</catValu>
    <labl>1405</labl>
  </catgry>
  <catgry>
    <catValu>1406</catValu>
    <labl>1406</labl>
  </catgry>
  <catgry>
    <catValu>1416</catValu>
    <labl>1416</labl>
  </catgry>
  <txt>INTENDCMC reports the century month code (CMC) for the last month the survey was fielded, according to the DHS Program website.

The related variable INTSTARTCMC reports the century month code for the first month the survey was fielded, according to the DHS Program website. The contextual variables in IPUMS DHS use the month in INTSTARTCMC as the month of the survey start date.

Century month codes (CMC) are calculated by multiplying by 12 the difference between the year of an event and 1900. The year 1900 was chosen as the reference period because all of the DHS-relevant events occurred during the twentieth or twenty-first centuries. The month of the event is added to the previous result.

CMC = (Year - 1900) * 12 + Month

For example, the CMC for June 2002 is:

CMC = (2002 - 1900) * 12 + 6 = 1230

In other words, 1,230 months have elapsed between January 1900 and June 2002. Starting with CMC figures, one can calculate the month and year using the following formulas:

Year = int( ( CMC minus 1 )/12 ) + 1900
[int(x) is the integer part of x]
Month = CMC - ( ( Year - 1900 ) * 12 )

The information above is based on "Online Guide to DHS Statistics" (Rutstein and Rojas, 2006). [URL omitted from DDI.].

The century month codes reported in INTENDCMC are calculated using the Gregorian calculator.</txt>
  <concept>
    <title>Survey dates Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_VISITNO" name="H_VISITNO" files="H" intrvl="discrete">
  <labl>Number of visits by interviewer</labl>
  <imputation>Number of visits by interviewer</imputation>
  <security>Number of visits by interviewer</security>
  <embargo>Number of visits by interviewer</embargo>
  <respUnit>Number of visits by interviewer</respUnit>
  <qstn>
    <qstnLit>TOTAL NUMBER OF VISITS____</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>9</labl>
  </catgry>
  <txt>VISITNO (HV017) reports the number of visits by an interviewer required to complete the interview.</txt>
  <concept>
    <title>General technical Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_EVMARHH" name="H_EVMARHH" files="H" intrvl="discrete">
  <labl>Ever-married sample</labl>
  <imputation>Ever-married sample</imputation>
  <security>Ever-married sample</security>
  <embargo>Ever-married sample</embargo>
  <respUnit>Ever-married sample</respUnit>
  <catgry>
    <labl>All woman sample</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Ever-married sample</labl>
  </catgry>
  <txt>EVMARHH (HV020) indicates whether the sample includes only ever-married women or includes all women of childbearing age.</txt>
  <concept>
    <title>General technical Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_INTERVIEWERIDHH" name="H_INTERVIEWERIDHH" files="H" intrvl="discrete">
  <labl>Identification number of interviewer, household survey</labl>
  <imputation>Identification number of interviewer, household survey</imputation>
  <security>Identification number of interviewer, household survey</security>
  <embargo>Identification number of interviewer, household survey</embargo>
  <respUnit>Identification number of interviewer, household survey</respUnit>
  <qstn>
    <qstnLit>INTERVIEWER:
(REPEAT FOR SECOND AND THIRD INTERVIEWERS)
DATE__
DAY__
MONTH__
YEAR__
INTERVIEWER NAME___
RESULTS___</qstnLit>
  </qstn>
  <txt>INTERVIEWERIDHH (HV018) reports the interviewer identification code for the interviewer conducting the household survey. Codes are country- and sample-specific; a given numeric code in one survey refers to a different person than the same numeric code in another survey. Numbering of interviewer codes is not necessarily consecutive; some surveys use "0" as an identification code, for example, while others begin with a 3-digit number. Using the interviewer identification codes, researchers can evaluate whether the quality of responses (e.g., the number of "missing" cases) depended on the person conducting the interview.</txt>
  <concept>
    <title>General technical Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_URBANHH" name="H_URBANHH" files="H" intrvl="discrete">
  <labl>Urban-rural status</labl>
  <imputation>Urban-rural status</imputation>
  <security>Urban-rural status</security>
  <embargo>Urban-rural status</embargo>
  <respUnit>Urban-rural status</respUnit>
  <qstn>
    <qstnLit>VILLAGE/QUARTER:

NIAMEY 1
AGADEZ, MARADI, TAHOUA, ZINDER 2
OTHER CITY 3
RURAL 4</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Rural</labl>
  </catgry>
  <txt>URBANHH (HV025) indicates whether the household member's de facto place of residence (i.e., where the person actually was at the time of the survey) was in an urban or rural location.</txt>
  <concept>
    <title>Geography, general Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_GEO_NE1992_2012" name="H_GEO_NE1992_2012" files="H" intrvl="discrete">
  <labl>Niger regions, 1992-2012 [integrated; GIS]</labl>
  <imputation>Niger regions, 1992-2012 [integrated; GIS]</imputation>
  <security>Niger regions, 1992-2012 [integrated; GIS]</security>
  <embargo>Niger regions, 1992-2012 [integrated; GIS]</embargo>
  <respUnit>Niger regions, 1992-2012 [integrated; GIS]</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>Tahoua/Agadez</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Zinder/Diffa</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Dossa</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Maradi</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Tillaberi</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Niamey</labl>
  </catgry>
  <txt>GEO_ NE1992_2012 indicates the region of Niger where the respondent was interviewed. The variable is integrated to yield units with consistent boundaries across samples.

Labels identify the modern geographic units (regions) contained in each integrated region. Each sample also has its own non-integrated geography variable. The 1992, 2006, and 2012 samples have greater geographic detail available in their sample-specific variables.

An integrated GIS map (in shapefile format) for Niger can be downloaded here [URL omitted from DDI.].</txt>
  <concept>
    <title>Integrated geography Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_GEO_NE1992" name="H_GEO_NE1992" files="H" intrvl="discrete">
  <labl>Niger regions, 1992 [GIS]</labl>
  <imputation>Niger regions, 1992 [GIS]</imputation>
  <security>Niger regions, 1992 [GIS]</security>
  <embargo>Niger regions, 1992 [GIS]</embargo>
  <respUnit>Niger regions, 1992 [GIS]</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>Niamey</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Agadez</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Diffa</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Dossa</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Maradi</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Tahoua</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Tillaberi</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Zinder</labl>
  </catgry>
  <txt>GEO_NE1992 (V101_NE1992) indicates the region of Niger where the respondent was interviewed. DHS units in the 1992 Niger survey are equivalent to grouped regions.

Other sample years have their own sample-specific geography variables. There is also an integrated variable, GEO_NE1992_2012, that provides spatially consistent units over time.

A GIS map for GEO_NE1992 (in shapefile format) can be downloaded from the DHS Program Spatial Data Repository [URL omitted from DDI.] Boundaries page.</txt>
  <concept>
    <title>Single sample geography Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_SEX" name="H_SEX" files="H" intrvl="discrete">
  <labl>Sex of household member</labl>
  <imputation>Sex of household member</imputation>
  <security>Sex of household member</security>
  <embargo>Sex of household member</embargo>
  <respUnit>Sex of household member</respUnit>
  <qstn>
    <qstnLit>6) SEX:
Is (NAME) male or female?

MALE 1
FEMALE 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SEX (HV104) reports the sex of the household member, as given by the respondent for the household questionnaire.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_HHAGE" name="H_HHAGE" files="H" intrvl="discrete">
  <labl>Age of household member</labl>
  <imputation>Age of household member</imputation>
  <security>Age of household member</security>
  <embargo>Age of household member</embargo>
  <respUnit>Age of household member</respUnit>
  <qstn>
    <qstnLit>7) AGE:
How old is (NAME)?

NOTE '97' FOR 97 AND OLDER.

AGE: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>95+</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>HHAGE (HV105) reports the household member's age, as given by the respondent for the household questionnaire.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_HHRESIDENT" name="H_HHRESIDENT" files="H" intrvl="discrete">
  <labl>Usual resident or visitor</labl>
  <imputation>Usual resident or visitor</imputation>
  <security>Usual resident or visitor</security>
  <embargo>Usual resident or visitor</embargo>
  <respUnit>Usual resident or visitor</respUnit>
  <qstn>
    <qstnLit>4) RESIDENCE:
Does (NAME) normally live here?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Usual resident</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Visitor</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>HHRESIDENT (HV102) indicates whether the household member is a usual resident of the household or is just visiting. As defined by the HHRESIDENT variable, a visitor could potentially reside in the city, town, or village where the interview took place, but would have answered "No" to the question, "Does (NAME) usually live here [in this dwelling unit]?" on the household questionnaire.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_HHSLEPT" name="H_HHSLEPT" files="H" intrvl="discrete">
  <labl>Slept last night in HH</labl>
  <imputation>Slept last night in HH</imputation>
  <security>Slept last night in HH</security>
  <embargo>Slept last night in HH</embargo>
  <respUnit>Slept last night in HH</respUnit>
  <qstn>
    <qstnLit>5) RESIDENCE:
Did (NAME) sleep here last night?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>HHSLEPT (HV103) indicates whether the household member is a de facto member of the household, in terms of whether the individual slept in the household the previous night.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_HHRELATE" name="H_HHRELATE" files="H" intrvl="discrete">
  <labl>Relationship to household head</labl>
  <imputation>Relationship to household head</imputation>
  <security>Relationship to household head</security>
  <embargo>Relationship to household head</embargo>
  <respUnit>Relationship to household head</respUnit>
  <qstn>
    <qstnLit>3) RELATIONSHIP TO HEAD OF HOUSEHOLD:
What is the familial relation between (NAME) and the head of household?

HEAD OF HOUSEHOLD 01
WIFE OR HUSBAND 02
SON OR DAUGHTER 03
SON OR DAUGHTER-IN-LAW 04
GRANDSON OR GRANDDAUGHTER 05
FATHER OR MOTHER 06
PARENT-IN-LAW 07
BROTHER OR SISTER 08
CO-SPOUSE 09
OTHER RELATIVE 10
ADOPTED/FOSTER/STEP CHILD 11
NO FAMILY RELATIONSHIP 12
DON'T KNOW 98</qstnLit>
  </qstn>
  <catgry>
    <catValu>42</catValu>
    <labl>Herdboy</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>Stepson/daughter</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>Domestic servant</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>Head</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>Wife or husband</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>Son/daughter</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>Son/daughter-in-law</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>Grandchild</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>Parent</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>Parent-in-law</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>Brother/sister</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>Co-spouse</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Adopted/foster child</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Brother/sister-in-law</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Grandparent</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>Aunt/uncle</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>Niece/nephew</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>Niece/nephew by blood</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>Niece/nephew by marriage</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>Other relative</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>Not related</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>HHRELATE (HV101) reports the household member's relationship to the head of the household/householder.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_MOTHERALIVE" name="H_MOTHERALIVE" files="H" intrvl="discrete">
  <labl>Mother alive</labl>
  <imputation>Mother alive</imputation>
  <security>Mother alive</security>
  <embargo>Mother alive</embargo>
  <respUnit>Mother alive</respUnit>
  <qstn>
    <qstnLit>11) Is (NAME)'s natural mother still living?

YES 1
NO 2 (GO TO 13)
DON'T KNOW 8 (GO TO 13)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For household members under a cut-off age (varying across samples), MOTHERALIVE (HV111) indicates whether the person's mother is still alive.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_MOTHERLINENO" name="H_MOTHERLINENO" files="H" intrvl="discrete">
  <labl>Mother's line number</labl>
  <imputation>Mother's line number</imputation>
  <security>Mother's line number</security>
  <embargo>Mother's line number</embargo>
  <respUnit>Mother's line number</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>Mother not in household</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For household members under a cut-off age (varying across samples), MOTHERLINENO (HV112) reports the household line number of the person's (co-resident) mother. A code of zero indicates the mother does not live in the same household as the child.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_FATHERALIVE" name="H_FATHERALIVE" files="H" intrvl="discrete">
  <labl>Father alive</labl>
  <imputation>Father alive</imputation>
  <security>Father alive</security>
  <embargo>Father alive</embargo>
  <respUnit>Father alive</respUnit>
  <qstn>
    <qstnLit>13) Is (NAME)'s natural father still living?

YES 1
NO 2 (GO TO 15)
DON'T KNOW 8 (GO TO 15)</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For household members under a cut-off age (varying across samples), FATHERALIVE (HV113) indicates whether the person's father is still alive.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_FATHERLINENO" name="H_FATHERLINENO" files="H" intrvl="discrete">
  <labl>Father's line number</labl>
  <imputation>Father's line number</imputation>
  <security>Father's line number</security>
  <embargo>Father's line number</embargo>
  <respUnit>Father's line number</respUnit>
  <qstn>
    <qstnLit>14) Is (NAME)'s natural father living in the household?

IF YES: What is his name?

WRITE THE FATHER'S LINE NUMBER.

LINE NUMBER____</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>For household members under a specified age (varying across samples), FATHERLINENO (HV114) reports the household line number of the person's (co-resident) father. A code of zero indicates the father does not live in the same household as the child.</txt>
  <concept>
    <title>Core demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_HHMARSTAT" name="H_HHMARSTAT" files="H" intrvl="discrete">
  <labl>Current marital status</labl>
  <imputation>Current marital status</imputation>
  <security>Current marital status</security>
  <embargo>Current marital status</embargo>
  <respUnit>Current marital status</respUnit>
  <qstn>
    <qstnLit>15) FOR PERSONS AGED 15 AND OVER:
MARITAL STATUS: Is (NAME) currently married/ partnered, widowed/er, divorced/separated, or single?

MARRIED/ PARTNERED 1
WIDOWED/ER 2
DIVORCED/SEPARATED 3
SINGLE 4</qstnLit>
  </qstn>
  <catgry>
    <catValu>100</catValu>
    <labl>Never married/lived together</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>Unconsummated marriage</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>Married or living together</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Married</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>Living together</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>Formerly married/lived together</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>Widowed</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>Divorced/separated</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>Divorced</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>Separated/not living together</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>HHMARSTAT (HV115) reports the household member's current marital status. Response categories and question wording vary across surveys, as does the age range covered by this variable. See Comparability.</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_HHCURRMARR" name="H_HHCURRMARR" files="H" intrvl="discrete">
  <labl>Currently, formerly, never married</labl>
  <imputation>Currently, formerly, never married</imputation>
  <security>Currently, formerly, never married</security>
  <embargo>Currently, formerly, never married</embargo>
  <respUnit>Currently, formerly, never married</respUnit>
  <qstn>
    <qstnLit>15) FOR PERSONS AGED 15 AND OVER:
MARITAL STATUS: Is (NAME) currently married/ partnered, widowed/er, divorced/separated, or single?

MARRIED/ PARTNERED 1
WIDOWED/ER 2
DIVORCED/SEPARATED 3
SINGLE 4</qstnLit>
  </qstn>
  <catgry>
    <catValu>00</catValu>
    <labl>Never married</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>Ever married</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>Currently married</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>Formerly married</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>HHCURRMARR (HV116) reports the household member's marital/union status as "Never married," "Currently married," or "Formerly married."

"Never married" includes household members who have never lived with a partner. "Currently married" includes household members who are married and those who are not formally married but are living with a partner. "Formerly married" includes household members who are widowed, divorced, separated, or who have formerly lived with a partner.

In samples where the only question asked relates to whether the household member has ever been married (not cohabiting), the responses are coded "10" for "Ever-married" and "0" for "Never married."</txt>
  <concept>
    <title>Marriage and cohabitation Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_HHMEMBERS" name="H_HHMEMBERS" files="H" intrvl="discrete">
  <labl>Number of household members</labl>
  <imputation>Number of household members</imputation>
  <security>Number of household members</security>
  <embargo>Number of household members</embargo>
  <respUnit>Number of household members</respUnit>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <txt>HHMEMBERS (HV009) reports the number of household members in the household.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_DEJURENO" name="H_DEJURENO" files="H" intrvl="discrete">
  <labl>Number of de jure members</labl>
  <imputation>Number of de jure members</imputation>
  <security>Number of de jure members</security>
  <embargo>Number of de jure members</embargo>
  <respUnit>Number of de jure members</respUnit>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <txt>DEJURENO (HV012) reports the total number of de jure household members, or the number of household members who usually live in the household (i.e., excluding visitors).</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_DEFACTONO" name="H_DEFACTONO" files="H" intrvl="discrete">
  <labl>Number of de facto members</labl>
  <imputation>Number of de facto members</imputation>
  <security>Number of de facto members</security>
  <embargo>Number of de facto members</embargo>
  <respUnit>Number of de facto members</respUnit>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <txt>DEFACTONO (HV013) reports the total number of de facto household members, or the number of household members who slept in the household the previous night, including visitors.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_KIDLT5NO" name="H_KIDLT5NO" files="H" intrvl="discrete">
  <labl>Number of children 5 and under (de jure)</labl>
  <imputation>Number of children 5 and under (de jure)</imputation>
  <security>Number of children 5 and under (de jure)</security>
  <embargo>Number of children 5 and under (de jure)</embargo>
  <respUnit>Number of children 5 and under (de jure)</respUnit>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <txt>KIDLT5NO (HV014) reports the number of children under age 5 in the household (de jure).</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_HHEADAGEHH" name="H_HHEADAGEHH" files="H" intrvl="discrete">
  <labl>Age of household head (from HH record)</labl>
  <imputation>Age of household head (from HH record)</imputation>
  <security>Age of household head (from HH record)</security>
  <embargo>Age of household head (from HH record)</embargo>
  <respUnit>Age of household head (from HH record)</respUnit>
  <qstn>
    <qstnLit>7) AGE:
How old is (NAME)?

NOTE '97' FOR 97 AND OLDER.

AGE: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>95</catValu>
    <labl>95+</labl>
  </catgry>
  <catgry>
    <catValu>94</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>93</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>92</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>91</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>89</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>88</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>87</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>86</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>85</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>84</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>83</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>82</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>81</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>80</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>79</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>78</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>77</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>76</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>75</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>74</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>73</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>72</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>71</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>70</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>69</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>68</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>67</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>66</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>65</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>64</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>63</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>62</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>61</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>60</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>59</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>58</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>57</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>56</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>55</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>54</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>53</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>52</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>51</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>50</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>49</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>48</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>47</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>46</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>45</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>44</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>43</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>42</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>41</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>40</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>39</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>38</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>37</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>36</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <txt>HHEADAGEHH (HV220) reports the age of the head of the household.

The information in HHEADAGEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_HHEADSEXHH" name="H_HHEADSEXHH" files="H" intrvl="discrete">
  <labl>Sex of household head (from hh record)</labl>
  <imputation>Sex of household head (from hh record)</imputation>
  <security>Sex of household head (from hh record)</security>
  <embargo>Sex of household head (from hh record)</embargo>
  <respUnit>Sex of household head (from hh record)</respUnit>
  <qstn>
    <qstnLit>6) SEX:
Is (NAME) male or female?

MALE 1
FEMALE 2</qstnLit>
  </qstn>
  <catgry>
    <catValu>1</catValu>
    <labl>Male</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Female</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>HHEADSEXHH (HV219) reports the sex of the head of the household.

The information in HHEADSEXHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_FAMSTRUCTR" name="H_FAMSTRUCTR" files="H" intrvl="discrete">
  <labl>Relationship structure in HH</labl>
  <imputation>Relationship structure in HH</imputation>
  <security>Relationship structure in HH</security>
  <embargo>Relationship structure in HH</embargo>
  <respUnit>Relationship structure in HH</respUnit>
  <qstn>
    <qstnLit>1) NUMBER</qstnLit>
  </qstn>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Unrelated adults</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Three plus related adults</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Two adults, same sex</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Two adults, opp sex</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>One adult</labl>
  </catgry>
  <catgry>
    <labl>No adults</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FAMSTRUCTR (HV217) indicates the relationship structure (no adults, one adult, two related adults of the opposite sex, two related adults of the same sex, three or more related adults, or unrelated adults) in the household. Only usual (de jure) household members aged 15 and over are considered in determining the household's relationship structure. FAMSTRUCTR is a constructed variable, based on information about each household member's age, sex, and relationship to the householder, which was collected when completing the listing of persons in the household at the time of the survey.

The information in FAMSTRUCTR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Household demographic Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_SLEEPROOMS" name="H_SLEEPROOMS" files="H" intrvl="discrete">
  <labl>Number of rooms in HH used for sleeping</labl>
  <imputation>Number of rooms in HH used for sleeping</imputation>
  <security>Number of rooms in HH used for sleeping</security>
  <embargo>Number of rooms in HH used for sleeping</embargo>
  <respUnit>Number of rooms in HH used for sleeping</respUnit>
  <qstn>
    <qstnLit>24) In your household, how many rooms do you use for sleeping?

ROOMS: ___</qstnLit>
  </qstn>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>35</catValu>
    <labl>35+</labl>
  </catgry>
  <catgry>
    <catValu>34</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>33</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>32</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>31</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>30</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>29</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>28</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>SLEEPROOMS (HV216) reports the number of rooms in the household used for sleeping.</txt>
  <concept>
    <title>Housing Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_FLOOR" name="H_FLOOR" files="H" intrvl="discrete">
  <labl>Main material of floor</labl>
  <imputation>Main material of floor</imputation>
  <security>Main material of floor</security>
  <embargo>Main material of floor</embargo>
  <respUnit>Main material of floor</respUnit>
  <qstn>
    <qstnLit>25) PRINCIPLE FLOORING MATERIAL.

RECORD OBSERVATION.

NATURAL FLOOR

EARTH/SAND 11

FINISHED FLOOR

PARQUET OR POLISHED WOOD 31
VINYL STRIPS 32
TILE 33
CEMENT 34
RUG 35

OTHER (SPECIFY): ___ 41</qstnLit>
  </qstn>
  <catgry>
    <catValu>116</catValu>
    <labl>Mud and hay</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>391</catValu>
    <labl>Plaster</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>NATURAL</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>Earth-based</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>Earth, sand</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>Earth, mud</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>Earth, mud, clay</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>Sand</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>Dirt/Earth</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Dung-based</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>Dung</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>Earth and dung</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>Mud, dung, sand</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>RUDIMENTARY</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Wood</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>Wood planks</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>Wood and tile</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>Wood/palm/bamboo</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>Palm/bamboo</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>Palm/bamboo/leaves</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>Other rudimentary</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>Broken bricks</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>Adobe</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>Unfinished stone</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>FINISHED</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>Parquet/polished wood</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>Polished wood/vinyl/tiles</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>Vinyl/asphalt strips/linoleum</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>Linoleum</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>Tiles/mosaic</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>Ceramic tiles</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>Cement tiles</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>Ceramic/terrazo tiles</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>Ceramic/marble tiles</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>Tiles/brick</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>Cement/concrete</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>Carpet</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>Terrazzo</labl>
  </catgry>
  <catgry>
    <catValu>370</catValu>
    <labl>Stone</labl>
  </catgry>
  <catgry>
    <catValu>380</catValu>
    <labl>Bricks</labl>
  </catgry>
  <catgry>
    <catValu>390</catValu>
    <labl>Other finished</labl>
  </catgry>
  <catgry>
    <catValu>400</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>Vinyl</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>Mat</labl>
  </catgry>
  <txt>FLOOR (HV213) reports the main material of the floor of the dwelling.  Response categories vary widely across surveys but fall into broad groups (i.e., natural materials, rudimentary processed materials, and finished materials).  See Comparability.</txt>
  <concept>
    <title>Housing Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_ROOF" name="H_ROOF" files="H" intrvl="discrete">
  <labl>Main material of roof</labl>
  <imputation>Main material of roof</imputation>
  <security>Main material of roof</security>
  <embargo>Main material of roof</embargo>
  <respUnit>Main material of roof</respUnit>
  <qstn>
    <qstnLit>26) MAIN ROOF MATERIAL.

RECORD OBSERVATION.

CONCRETE 01
SHEET METAL 02
BANCO [TRANSLATOR NOTE: A TYPE OF MUDBRICK OR ADOBE SPECIFIC TO WEST AFRICA] 03
STRAW 04
CANVAS 05
OTHER (SPECIFY): ___ 06</qstnLit>
  </qstn>
  <catgry>
    <catValu>126</catValu>
    <labl>Mud and hay</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>Sticks/sticks with mud or dung</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>Reinforced brick cement</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>000</catValu>
    <labl>No roof</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>NATURAL</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>Thatch/palm leaf/grass/makuti</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>Thatch/palm leaf</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>Grass, thatch</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>Grass, thatch, makuti</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>Thatch</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>Thatch/mat/leaves</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>Leaves</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>Grass/leaves/mud</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>Earth</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>Mud</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>Dung, mud</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>Earth, mud</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>Sod</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>Sod/mud and grass mixture</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>Straw</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>RUDIMENTARY</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>Rustic mat</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>Rustic mat, plastic sheets</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>Plastic/polythene sheet</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>Palm/bamboo</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>Palm, bamboo, grass</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>Reed, bamboo</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>Wood planks</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>Wooden tiles, planks</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>Wood, mulch</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>Cardboard</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>Rudimentary - metal</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>Tin cans</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>Iron sheets</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>Other rudimentary</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>Mobile roofs of nomads</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>Skin</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>FINISHED</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>Metal</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>Metal, zinc</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>Corrugated metal sheet, asbestos</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>Corrugated iron</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>Tin</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>Asbetos</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>Wood</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>Cement/concrete</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>Cement</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>Concrete</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>Tiles</labl>
  </catgry>
  <catgry>
    <catValu>341</catValu>
    <labl>Ceramic tiles</labl>
  </catgry>
  <catgry>
    <catValu>342</catValu>
    <labl>Iron and tiles</labl>
  </catgry>
  <catgry>
    <catValu>343</catValu>
    <labl>Tiles/slate</labl>
  </catgry>
  <catgry>
    <catValu>344</catValu>
    <labl>Mud tiles</labl>
  </catgry>
  <catgry>
    <catValu>345</catValu>
    <labl>Ceramic tiles, harvey (steel) tiles</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>Cement fiber</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>Calamine/cement fiber</labl>
  </catgry>
  <catgry>
    <catValu>352</catValu>
    <labl>Asbestos, cement fiber</labl>
  </catgry>
  <catgry>
    <catValu>353</catValu>
    <labl>Zinc/cement fiber</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>Roofing shingles</labl>
  </catgry>
  <catgry>
    <catValu>370</catValu>
    <labl>Bricks</labl>
  </catgry>
  <catgry>
    <catValu>371</catValu>
    <labl>Unburnt bricks</labl>
  </catgry>
  <catgry>
    <catValu>372</catValu>
    <labl>Burnt brick</labl>
  </catgry>
  <catgry>
    <catValu>380</catValu>
    <labl>Stone</labl>
  </catgry>
  <catgry>
    <catValu>381</catValu>
    <labl>Loosely packed stone</labl>
  </catgry>
  <catgry>
    <catValu>382</catValu>
    <labl>Stone slabs</labl>
  </catgry>
  <catgry>
    <catValu>383</catValu>
    <labl>Slate</labl>
  </catgry>
  <catgry>
    <catValu>400</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>Waste materials</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ROOF (HV215) reports the main material of the roof of the dwelling.  Response categories vary widely across surveys but fall into broad groups (i.e., natural materials, rudimentary processed materials, and finished materials).  See Comparability.</txt>
  <concept>
    <title>Housing Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_ELECTRCHH" name="H_ELECTRCHH" files="H" intrvl="discrete">
  <labl>Dwelling has electricity (from hh record)</labl>
  <imputation>Dwelling has electricity (from hh record)</imputation>
  <security>Dwelling has electricity (from hh record)</security>
  <embargo>Dwelling has electricity (from hh record)</embargo>
  <respUnit>Dwelling has electricity (from hh record)</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>ELECTRCHH (HV206) indicates whether the household has electricity. Samples vary in how that information was collected.

The information in ELECTRCHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Housing Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TOILETTYPE" name="H_TOILETTYPE" files="H" intrvl="discrete">
  <labl>Type of toilet facility</labl>
  <imputation>Type of toilet facility</imputation>
  <security>Type of toilet facility</security>
  <embargo>Type of toilet facility</embargo>
  <respUnit>Type of toilet facility</respUnit>
  <qstn>
    <qstnLit>22) What kind of toilet is there in your household?

FLUSH TOILET

OWN FLUSH TOILET 11
SHARED FLUSH TOILET 12
PUBLIC FLUSH TOILET 13

PIT TOILET OR LATRINE

TRADITIONAL PIT TOILET 21
VENTILATED IMPROVED PIT (VIP) OR LATRINES 22

NO FACILITY/BRUSH/FIELD 31
OTHER (SPECIFY): ___ 41</qstnLit>
  </qstn>
  <catgry>
    <catValu>3431</catValu>
    <labl>Pit latrine with ventilation pipe, no mesh</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>0000</catValu>
    <labl>NO FACILITY</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>FLUSH TOILET</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Unspecified type of flush toilet</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>Own flush toilet (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>Shared flush toilet (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Modern flush toilet</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Flush to piped sewer system</labl>
  </catgry>
  <catgry>
    <catValu>1300</catValu>
    <labl>Traditional with tank flush</labl>
  </catgry>
  <catgry>
    <catValu>1400</catValu>
    <labl>Bucket flush toilet</labl>
  </catgry>
  <catgry>
    <catValu>1410</catValu>
    <labl>Flush to pit latrine</labl>
  </catgry>
  <catgry>
    <catValu>1420</catValu>
    <labl>Flush to somewhere else</labl>
  </catgry>
  <catgry>
    <catValu>1430</catValu>
    <labl>Flush, don't know where</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>NON-FLUSHING TOILET</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Composting toilet</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Dry toilet</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Ecosan toilet</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>PIT TOILET LATRINE</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Unspecified type of pit latrine</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Own pit toilet or latrine (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Shared pit toiletor latrine (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>3121</catValu>
    <labl>Public pit toilet or latrine (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>Traditional pit toilet or latrine</labl>
  </catgry>
  <catgry>
    <catValu>3210</catValu>
    <labl>Pit latrine without slab or open pit</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Pit latrine with slab</labl>
  </catgry>
  <catgry>
    <catValu>3400</catValu>
    <labl>Ventilated improved pit latrine</labl>
  </catgry>
  <catgry>
    <catValu>3410</catValu>
    <labl>Covered pit latrine, no slab</labl>
  </catgry>
  <catgry>
    <catValu>3420</catValu>
    <labl>Covered pit latrine with slab</labl>
  </catgry>
  <catgry>
    <catValu>3430</catValu>
    <labl>Covered latrine</labl>
  </catgry>
  <catgry>
    <catValu>3440</catValu>
    <labl>Septic pit</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>UNIMPROVED TOILET</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>Bucket toilet</labl>
  </catgry>
  <catgry>
    <catValu>4200</catValu>
    <labl>River</labl>
  </catgry>
  <catgry>
    <catValu>4300</catValu>
    <labl>Hanging latrine over water source</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>OTHER</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1112</catValu>
    <labl>Private flush toilet, outside residence</labl>
  </catgry>
  <catgry>
    <catValu>1211</catValu>
    <labl>Flush to piped sewer system, indoors</labl>
  </catgry>
  <catgry>
    <catValu>1212</catValu>
    <labl>Flush to piped sewer system, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>1213</catValu>
    <labl>Flush to piped sewer system, out  of yard</labl>
  </catgry>
  <catgry>
    <catValu>3310</catValu>
    <labl>Pit latrine with washable slab</labl>
  </catgry>
  <catgry>
    <catValu>3320</catValu>
    <labl>Pit latrine with non-washable slab</labl>
  </catgry>
  <catgry>
    <catValu>3490</catValu>
    <labl>Other improved system</labl>
  </catgry>
  <catgry>
    <catValu>3463</catValu>
    <labl>Latrine to piped public system, out of yard</labl>
  </catgry>
  <catgry>
    <catValu>3462</catValu>
    <labl>Latrine to piped public system, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>3461</catValu>
    <labl>Latrine to piped public system, indoors</labl>
  </catgry>
  <catgry>
    <catValu>3443</catValu>
    <labl>Latrine to septic tank, out of yard</labl>
  </catgry>
  <catgry>
    <catValu>3442</catValu>
    <labl>Latrine to septic tank, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>3441</catValu>
    <labl>Latrine to septic tank, indoors</labl>
  </catgry>
  <catgry>
    <catValu>3212</catValu>
    <labl>Open pit latrine, out of yard</labl>
  </catgry>
  <catgry>
    <catValu>3211</catValu>
    <labl>Open pit latrine, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>1253</catValu>
    <labl>Flush to septic tank, out of yard</labl>
  </catgry>
  <catgry>
    <catValu>1252</catValu>
    <labl>Flush to septic tank, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>1251</catValu>
    <labl>Flush to septic tank, indoors</labl>
  </catgry>
  <catgry>
    <catValu>1250</catValu>
    <labl>Flush to septic tank</labl>
  </catgry>
  <catgry>
    <catValu>1240</catValu>
    <labl>Flush, not to sewer</labl>
  </catgry>
  <catgry>
    <catValu>1233</catValu>
    <labl>Flush to ground water, out of yard</labl>
  </catgry>
  <catgry>
    <catValu>1232</catValu>
    <labl>Flush to ground water, inside yard</labl>
  </catgry>
  <catgry>
    <catValu>1231</catValu>
    <labl>Flush to ground water, indoors</labl>
  </catgry>
  <catgry>
    <catValu>3450</catValu>
    <labl>Latrine with manual flush</labl>
  </catgry>
  <catgry>
    <catValu>3460</catValu>
    <labl>Latrine to piped public system</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>1230</catValu>
    <labl>Flush to pipe connected to ground water</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Flush to pipe connected to canal</labl>
  </catgry>
  <catgry>
    <catValu>1132</catValu>
    <labl>Public flush toilet, outside residence</labl>
  </catgry>
  <catgry>
    <catValu>1131</catValu>
    <labl>Public flush toilet, inside residence</labl>
  </catgry>
  <catgry>
    <catValu>1130</catValu>
    <labl>Public flush toilet (unspecified type)</labl>
  </catgry>
  <catgry>
    <catValu>1111</catValu>
    <labl>Private flush toilet, inside residence</labl>
  </catgry>
  <txt>TOILETTYPE (HV205) reports the household's type of toilet facility, with no facility coded "0." Responses vary widely across surveys; see Comparability.

The information in TOILETTYPE is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_NDRINKWTR" name="H_NDRINKWTR" files="H" intrvl="discrete">
  <labl>Major source of non-drinking water</labl>
  <imputation>Major source of non-drinking water</imputation>
  <security>Major source of non-drinking water</security>
  <embargo>Major source of non-drinking water</embargo>
  <respUnit>Major source of non-drinking water</respUnit>
  <qstn>
    <qstnLit>18) Where does the water your household uses for hand and dishwashing come from?

PIPED WATER

PIPED INTO THE RESIDENCE/YARD/PLOT 11 (GO TO 20)
PUBLIC TAP 12

WELL WATER

WELL IN THE RESIDENCE/YARD/PLOT 21 (GO TO 20)
PUBLIC WELL OR BOREHOLE 22

SURFACE WATER

SPRING 31
RIVER OR STREAM 32
POND/LAKE 33
DAM 34

RAINWATER 41 (GO TO 20)
WATER VENDOR 51
BOTTLED WATER 61 (GO TO 20)
OTHER (SPECIFY): ___ 71</qstnLit>
  </qstn>
  <catgry>
    <catValu>9996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>PIPED WATER</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Piped into own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>Piped into own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>Piped into own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Piped outside own residence/plot</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Public tap/standpipe</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Piped into neighbor's dwelling/yard</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>WELL WATER</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Unprotected/open well</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Open well in own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2111</catValu>
    <labl>Open well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2112</catValu>
    <labl>Open well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>Open public well</labl>
  </catgry>
  <catgry>
    <catValu>2130</catValu>
    <labl>Open well in neighbor's residence</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Protected well</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Protected well in own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2211</catValu>
    <labl>Protected well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2212</catValu>
    <labl>Protected well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2220</catValu>
    <labl>Protected public well</labl>
  </catgry>
  <catgry>
    <catValu>2230</catValu>
    <labl>Tube well or borehole</labl>
  </catgry>
  <catgry>
    <catValu>2231</catValu>
    <labl>Borehole in yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2232</catValu>
    <labl>Public borehole</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Unspecified well</labl>
  </catgry>
  <catgry>
    <catValu>2310</catValu>
    <labl>Unspecified well in residence/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2311</catValu>
    <labl>Unspecified well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2312</catValu>
    <labl>Unspecified well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2313</catValu>
    <labl>Handpump in yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2320</catValu>
    <labl>Unspecified public well</labl>
  </catgry>
  <catgry>
    <catValu>2321</catValu>
    <labl>Public shallow well</labl>
  </catgry>
  <catgry>
    <catValu>2322</catValu>
    <labl>Public traditional well</labl>
  </catgry>
  <catgry>
    <catValu>2323</catValu>
    <labl>Public handpump</labl>
  </catgry>
  <catgry>
    <catValu>2330</catValu>
    <labl>Unspecified neighbor's well</labl>
  </catgry>
  <catgry>
    <catValu>2340</catValu>
    <labl>Unspecified well by type</labl>
  </catgry>
  <catgry>
    <catValu>2341</catValu>
    <labl>Well with pump</labl>
  </catgry>
  <catgry>
    <catValu>2342</catValu>
    <labl>Well without pump</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>SURFACE WATER</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Spring</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Protected spring</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Unprotected spring</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>River/dam/lake/ponds/streams/canal/irrigation channel</labl>
  </catgry>
  <catgry>
    <catValu>3210</catValu>
    <labl>River, stream</labl>
  </catgry>
  <catgry>
    <catValu>3220</catValu>
    <labl>Pond, lake</labl>
  </catgry>
  <catgry>
    <catValu>3230</catValu>
    <labl>Dam</labl>
  </catgry>
  <catgry>
    <catValu>3240</catValu>
    <labl>Canal or river/canal</labl>
  </catgry>
  <catgry>
    <catValu>3250</catValu>
    <labl>Irrigation ditch</labl>
  </catgry>
  <catgry>
    <catValu>3260</catValu>
    <labl>Dugout pond</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Channeled by gravity flow scheme</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>RAINWATER</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>Rainwater collected in tank</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>PURCHASED FROM SUPPLIER</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Tanker truck</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Cart with small tank</labl>
  </catgry>
  <catgry>
    <catValu>5300</catValu>
    <labl>Water vendor</labl>
  </catgry>
  <catgry>
    <catValu>5400</catValu>
    <labl>Bottled water</labl>
  </catgry>
  <catgry>
    <catValu>5410</catValu>
    <labl>Sachet water (in a bag)</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>OTHER SOURCE</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>5201</catValu>
    <labl>Motorcycle with 3 wheels</labl>
  </catgry>
  <txt>NDRINKWTR (HV202) reports the household's main source of water for uses other than drinking (for example, cooking and washing).  Responses vary widely across surveys; see Comparability.

The information in NDRINKWTR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_DRINKWTR" name="H_DRINKWTR" files="H" intrvl="discrete">
  <labl>Major source of drinking water</labl>
  <imputation>Major source of drinking water</imputation>
  <security>Major source of drinking water</security>
  <embargo>Major source of drinking water</embargo>
  <respUnit>Major source of drinking water</respUnit>
  <qstn>
    <qstnLit>21) Where does the water your household uses for drinking come from?

PIPED WATER

PIPED INTO THE RESIDENCE/YARD/PLOT 11
PUBLIC TAP 12

WELL WATER

WELL IN THE RESIDENCE/YARD/PLOT 21
PUBLIC WELL OR BOREHOLE 22

SURFACE WATER

SPRING 31
RIVER OR STREAM 32
POND/LAKE 33
DAM 34

RAINWATER 41
WATER VENDOR 51
BOTTLED WATER 61
OTHER (SPECIFY): ___ 71</qstnLit>
  </qstn>
  <catgry>
    <catValu>2213</catValu>
    <labl>Protected well in neighbor's residence/plot</labl>
  </catgry>
  <catgry>
    <catValu>9996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>1000</catValu>
    <labl>PIPED WATER</labl>
  </catgry>
  <catgry>
    <catValu>1100</catValu>
    <labl>Piped into own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>1110</catValu>
    <labl>Piped into own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>1120</catValu>
    <labl>Piped into own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>1200</catValu>
    <labl>Piped outside own residence/plot</labl>
  </catgry>
  <catgry>
    <catValu>1210</catValu>
    <labl>Public tap/standpipe</labl>
  </catgry>
  <catgry>
    <catValu>1220</catValu>
    <labl>Piped into neighbor's dwelling/yard</labl>
  </catgry>
  <catgry>
    <catValu>2000</catValu>
    <labl>WELL WATER</labl>
  </catgry>
  <catgry>
    <catValu>2100</catValu>
    <labl>Unprotected/open well</labl>
  </catgry>
  <catgry>
    <catValu>2110</catValu>
    <labl>Open well in own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2111</catValu>
    <labl>Open well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2112</catValu>
    <labl>Open well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2120</catValu>
    <labl>Open public well</labl>
  </catgry>
  <catgry>
    <catValu>2130</catValu>
    <labl>Open well in neighbor's residence</labl>
  </catgry>
  <catgry>
    <catValu>2200</catValu>
    <labl>Protected well</labl>
  </catgry>
  <catgry>
    <catValu>2210</catValu>
    <labl>Protected well in own dwelling/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2211</catValu>
    <labl>Protected well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2212</catValu>
    <labl>Protected well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2220</catValu>
    <labl>Protected public well</labl>
  </catgry>
  <catgry>
    <catValu>2230</catValu>
    <labl>Tube well or borehole</labl>
  </catgry>
  <catgry>
    <catValu>2231</catValu>
    <labl>Borehole in yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2232</catValu>
    <labl>Public borehole</labl>
  </catgry>
  <catgry>
    <catValu>2300</catValu>
    <labl>Unspecified well</labl>
  </catgry>
  <catgry>
    <catValu>2310</catValu>
    <labl>Unspecified well in residence/yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2311</catValu>
    <labl>Unspecified well in own dwelling</labl>
  </catgry>
  <catgry>
    <catValu>2312</catValu>
    <labl>Unspecified well in own yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2313</catValu>
    <labl>Handpump in yard/plot</labl>
  </catgry>
  <catgry>
    <catValu>2320</catValu>
    <labl>Unspecified public well</labl>
  </catgry>
  <catgry>
    <catValu>2321</catValu>
    <labl>Public shallow well</labl>
  </catgry>
  <catgry>
    <catValu>2322</catValu>
    <labl>Public traditional well</labl>
  </catgry>
  <catgry>
    <catValu>2323</catValu>
    <labl>Public handpump</labl>
  </catgry>
  <catgry>
    <catValu>2330</catValu>
    <labl>Unspecified neighbor's well</labl>
  </catgry>
  <catgry>
    <catValu>2340</catValu>
    <labl>Unspecified well by type</labl>
  </catgry>
  <catgry>
    <catValu>2341</catValu>
    <labl>Well with pump</labl>
  </catgry>
  <catgry>
    <catValu>2342</catValu>
    <labl>Well without pump</labl>
  </catgry>
  <catgry>
    <catValu>3000</catValu>
    <labl>SURFACE WATER</labl>
  </catgry>
  <catgry>
    <catValu>3100</catValu>
    <labl>Spring</labl>
  </catgry>
  <catgry>
    <catValu>3110</catValu>
    <labl>Protected spring/surface water</labl>
  </catgry>
  <catgry>
    <catValu>3120</catValu>
    <labl>Unprotected spring/surface water</labl>
  </catgry>
  <catgry>
    <catValu>3200</catValu>
    <labl>River/dam/lake/ponds/streams/canal/irrigation channel</labl>
  </catgry>
  <catgry>
    <catValu>3210</catValu>
    <labl>River, stream</labl>
  </catgry>
  <catgry>
    <catValu>3220</catValu>
    <labl>Pond, lake</labl>
  </catgry>
  <catgry>
    <catValu>3230</catValu>
    <labl>Dam</labl>
  </catgry>
  <catgry>
    <catValu>3240</catValu>
    <labl>Canal or river/canal</labl>
  </catgry>
  <catgry>
    <catValu>3250</catValu>
    <labl>Irrigation ditch</labl>
  </catgry>
  <catgry>
    <catValu>3260</catValu>
    <labl>Dugout pond</labl>
  </catgry>
  <catgry>
    <catValu>3300</catValu>
    <labl>Channeled by gravity flow scheme</labl>
  </catgry>
  <catgry>
    <catValu>4000</catValu>
    <labl>RAINWATER</labl>
  </catgry>
  <catgry>
    <catValu>4100</catValu>
    <labl>Rainwater collected in tank</labl>
  </catgry>
  <catgry>
    <catValu>5000</catValu>
    <labl>PURCHASED FROM SUPPLIER</labl>
  </catgry>
  <catgry>
    <catValu>5100</catValu>
    <labl>Tanker truck</labl>
  </catgry>
  <catgry>
    <catValu>5200</catValu>
    <labl>Cart with small tank</labl>
  </catgry>
  <catgry>
    <catValu>5300</catValu>
    <labl>Water vendor</labl>
  </catgry>
  <catgry>
    <catValu>5400</catValu>
    <labl>Bottled water</labl>
  </catgry>
  <catgry>
    <catValu>5410</catValu>
    <labl>Sachet water (in a bag)</labl>
  </catgry>
  <catgry>
    <catValu>6000</catValu>
    <labl>OTHER SOURCE</labl>
  </catgry>
  <catgry>
    <catValu>9998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>1211</catValu>
    <labl>Public tap from filtration plant</labl>
  </catgry>
  <catgry>
    <catValu>1212</catValu>
    <labl>Public tap from stone pipes</labl>
  </catgry>
  <catgry>
    <catValu>5310</catValu>
    <labl>Water vendor from unknown source</labl>
  </catgry>
  <catgry>
    <catValu>5320</catValu>
    <labl>Water vendor from protected well</labl>
  </catgry>
  <catgry>
    <catValu>5330</catValu>
    <labl>Water vendor from unprotected well</labl>
  </catgry>
  <catgry>
    <catValu>5340</catValu>
    <labl>Water vendor from pond/lake</labl>
  </catgry>
  <catgry>
    <catValu>9999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <catgry>
    <catValu>5500</catValu>
    <labl>Community reverse osmosis plant</labl>
  </catgry>
  <catgry>
    <catValu>5201</catValu>
    <labl>Motorcycle with 3 wheels</labl>
  </catgry>
  <txt>DRINKWTR (HV201) reports the household's main source of drinking water.  Responses vary widely across surveys; see Comparability.

The information in DRINKWTR is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_SAMEH2OSRCHH" name="H_SAMEH2OSRCHH" files="H" intrvl="discrete">
  <labl>Same water source used for drinking and other water (HH record)</labl>
  <imputation>Same water source used for drinking and other water (HH record)</imputation>
  <security>Same water source used for drinking and other water (HH record)</security>
  <embargo>Same water source used for drinking and other water (HH record)</embargo>
  <respUnit>Same water source used for drinking and other water (HH record)</respUnit>
  <qstn>
    <qstnLit>20) Does your household use water from the same source for drinking?

YES 1 (GO TO 22)
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>With information taken from the household record, SAMEH2OSRCHH (HV203) indicates whether the household used the same source of water for drinking and for other uses (such as laundry and dishwashing).  For samples without this variable, the information could be calculated by comparing the household's reported sources of drinking water and water for other uses.

The information in SAMEH2OSRCHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TIMETOWTRHH" name="H_TIMETOWTRHH" files="H" intrvl="discrete">
  <labl>Time to reach water source and return, in minutes (from HH record)</labl>
  <imputation>Time to reach water source and return, in minutes (from HH record)</imputation>
  <security>Time to reach water source and return, in minutes (from HH record)</security>
  <embargo>Time to reach water source and return, in minutes (from HH record)</embargo>
  <respUnit>Time to reach water source and return, in minutes (from HH record)</respUnit>
  <qstn>
    <qstnLit>19) How much time does it take to go there, get water, and come back?

MINUTES: ___
ON LOCATION 996</qstnLit>
  </qstn>
  <catgry>
    <catValu>000</catValu>
  </catgry>
  <catgry>
    <catValu>001</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>002</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>003</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>004</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>005</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>006</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>007</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>008</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>009</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>010</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>011</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>012</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>013</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>014</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>015</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>016</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>017</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>018</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>019</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>020</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>021</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>022</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>023</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>024</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>025</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>026</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>027</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>028</catValu>
    <labl>28</labl>
  </catgry>
  <catgry>
    <catValu>029</catValu>
    <labl>29</labl>
  </catgry>
  <catgry>
    <catValu>030</catValu>
    <labl>30</labl>
  </catgry>
  <catgry>
    <catValu>031</catValu>
    <labl>31</labl>
  </catgry>
  <catgry>
    <catValu>032</catValu>
    <labl>32</labl>
  </catgry>
  <catgry>
    <catValu>033</catValu>
    <labl>33</labl>
  </catgry>
  <catgry>
    <catValu>034</catValu>
    <labl>34</labl>
  </catgry>
  <catgry>
    <catValu>035</catValu>
    <labl>35</labl>
  </catgry>
  <catgry>
    <catValu>036</catValu>
    <labl>36</labl>
  </catgry>
  <catgry>
    <catValu>037</catValu>
    <labl>37</labl>
  </catgry>
  <catgry>
    <catValu>038</catValu>
    <labl>38</labl>
  </catgry>
  <catgry>
    <catValu>039</catValu>
    <labl>39</labl>
  </catgry>
  <catgry>
    <catValu>040</catValu>
    <labl>40</labl>
  </catgry>
  <catgry>
    <catValu>041</catValu>
    <labl>41</labl>
  </catgry>
  <catgry>
    <catValu>042</catValu>
    <labl>42</labl>
  </catgry>
  <catgry>
    <catValu>043</catValu>
    <labl>43</labl>
  </catgry>
  <catgry>
    <catValu>044</catValu>
    <labl>44</labl>
  </catgry>
  <catgry>
    <catValu>045</catValu>
    <labl>45</labl>
  </catgry>
  <catgry>
    <catValu>046</catValu>
    <labl>46</labl>
  </catgry>
  <catgry>
    <catValu>047</catValu>
    <labl>47</labl>
  </catgry>
  <catgry>
    <catValu>048</catValu>
    <labl>48</labl>
  </catgry>
  <catgry>
    <catValu>049</catValu>
    <labl>49</labl>
  </catgry>
  <catgry>
    <catValu>050</catValu>
    <labl>50</labl>
  </catgry>
  <catgry>
    <catValu>051</catValu>
    <labl>51</labl>
  </catgry>
  <catgry>
    <catValu>052</catValu>
    <labl>52</labl>
  </catgry>
  <catgry>
    <catValu>053</catValu>
    <labl>53</labl>
  </catgry>
  <catgry>
    <catValu>054</catValu>
    <labl>54</labl>
  </catgry>
  <catgry>
    <catValu>055</catValu>
    <labl>55</labl>
  </catgry>
  <catgry>
    <catValu>056</catValu>
    <labl>56</labl>
  </catgry>
  <catgry>
    <catValu>057</catValu>
    <labl>57</labl>
  </catgry>
  <catgry>
    <catValu>058</catValu>
    <labl>58</labl>
  </catgry>
  <catgry>
    <catValu>059</catValu>
    <labl>59</labl>
  </catgry>
  <catgry>
    <catValu>060</catValu>
    <labl>60</labl>
  </catgry>
  <catgry>
    <catValu>061</catValu>
    <labl>61</labl>
  </catgry>
  <catgry>
    <catValu>062</catValu>
    <labl>62</labl>
  </catgry>
  <catgry>
    <catValu>063</catValu>
    <labl>63</labl>
  </catgry>
  <catgry>
    <catValu>064</catValu>
    <labl>64</labl>
  </catgry>
  <catgry>
    <catValu>065</catValu>
    <labl>65</labl>
  </catgry>
  <catgry>
    <catValu>066</catValu>
    <labl>66</labl>
  </catgry>
  <catgry>
    <catValu>067</catValu>
    <labl>67</labl>
  </catgry>
  <catgry>
    <catValu>068</catValu>
    <labl>68</labl>
  </catgry>
  <catgry>
    <catValu>069</catValu>
    <labl>69</labl>
  </catgry>
  <catgry>
    <catValu>070</catValu>
    <labl>70</labl>
  </catgry>
  <catgry>
    <catValu>071</catValu>
    <labl>71</labl>
  </catgry>
  <catgry>
    <catValu>072</catValu>
    <labl>72</labl>
  </catgry>
  <catgry>
    <catValu>073</catValu>
    <labl>73</labl>
  </catgry>
  <catgry>
    <catValu>074</catValu>
    <labl>74</labl>
  </catgry>
  <catgry>
    <catValu>075</catValu>
    <labl>75</labl>
  </catgry>
  <catgry>
    <catValu>076</catValu>
    <labl>76</labl>
  </catgry>
  <catgry>
    <catValu>077</catValu>
    <labl>77</labl>
  </catgry>
  <catgry>
    <catValu>078</catValu>
    <labl>78</labl>
  </catgry>
  <catgry>
    <catValu>079</catValu>
    <labl>79</labl>
  </catgry>
  <catgry>
    <catValu>080</catValu>
    <labl>80</labl>
  </catgry>
  <catgry>
    <catValu>081</catValu>
    <labl>81</labl>
  </catgry>
  <catgry>
    <catValu>082</catValu>
    <labl>82</labl>
  </catgry>
  <catgry>
    <catValu>083</catValu>
    <labl>83</labl>
  </catgry>
  <catgry>
    <catValu>084</catValu>
    <labl>84</labl>
  </catgry>
  <catgry>
    <catValu>085</catValu>
    <labl>85</labl>
  </catgry>
  <catgry>
    <catValu>086</catValu>
    <labl>86</labl>
  </catgry>
  <catgry>
    <catValu>087</catValu>
    <labl>87</labl>
  </catgry>
  <catgry>
    <catValu>088</catValu>
    <labl>88</labl>
  </catgry>
  <catgry>
    <catValu>089</catValu>
    <labl>89</labl>
  </catgry>
  <catgry>
    <catValu>090</catValu>
    <labl>90</labl>
  </catgry>
  <catgry>
    <catValu>091</catValu>
    <labl>91</labl>
  </catgry>
  <catgry>
    <catValu>092</catValu>
    <labl>92</labl>
  </catgry>
  <catgry>
    <catValu>093</catValu>
    <labl>93</labl>
  </catgry>
  <catgry>
    <catValu>094</catValu>
    <labl>94</labl>
  </catgry>
  <catgry>
    <catValu>095</catValu>
    <labl>95</labl>
  </catgry>
  <catgry>
    <catValu>096</catValu>
    <labl>96</labl>
  </catgry>
  <catgry>
    <catValu>097</catValu>
    <labl>97</labl>
  </catgry>
  <catgry>
    <catValu>098</catValu>
    <labl>98</labl>
  </catgry>
  <catgry>
    <catValu>099</catValu>
    <labl>99</labl>
  </catgry>
  <catgry>
    <catValu>100</catValu>
    <labl>100</labl>
  </catgry>
  <catgry>
    <catValu>101</catValu>
    <labl>101</labl>
  </catgry>
  <catgry>
    <catValu>102</catValu>
    <labl>102</labl>
  </catgry>
  <catgry>
    <catValu>103</catValu>
    <labl>103</labl>
  </catgry>
  <catgry>
    <catValu>104</catValu>
    <labl>104</labl>
  </catgry>
  <catgry>
    <catValu>105</catValu>
    <labl>105</labl>
  </catgry>
  <catgry>
    <catValu>106</catValu>
    <labl>106</labl>
  </catgry>
  <catgry>
    <catValu>107</catValu>
    <labl>107</labl>
  </catgry>
  <catgry>
    <catValu>108</catValu>
    <labl>108</labl>
  </catgry>
  <catgry>
    <catValu>109</catValu>
    <labl>109</labl>
  </catgry>
  <catgry>
    <catValu>110</catValu>
    <labl>110</labl>
  </catgry>
  <catgry>
    <catValu>111</catValu>
    <labl>111</labl>
  </catgry>
  <catgry>
    <catValu>112</catValu>
    <labl>112</labl>
  </catgry>
  <catgry>
    <catValu>113</catValu>
    <labl>113</labl>
  </catgry>
  <catgry>
    <catValu>114</catValu>
    <labl>114</labl>
  </catgry>
  <catgry>
    <catValu>115</catValu>
    <labl>115</labl>
  </catgry>
  <catgry>
    <catValu>116</catValu>
    <labl>116</labl>
  </catgry>
  <catgry>
    <catValu>117</catValu>
    <labl>117</labl>
  </catgry>
  <catgry>
    <catValu>118</catValu>
    <labl>118</labl>
  </catgry>
  <catgry>
    <catValu>119</catValu>
    <labl>119</labl>
  </catgry>
  <catgry>
    <catValu>120</catValu>
    <labl>120</labl>
  </catgry>
  <catgry>
    <catValu>121</catValu>
    <labl>121</labl>
  </catgry>
  <catgry>
    <catValu>122</catValu>
    <labl>122</labl>
  </catgry>
  <catgry>
    <catValu>123</catValu>
    <labl>123</labl>
  </catgry>
  <catgry>
    <catValu>124</catValu>
    <labl>124</labl>
  </catgry>
  <catgry>
    <catValu>125</catValu>
    <labl>125</labl>
  </catgry>
  <catgry>
    <catValu>126</catValu>
    <labl>126</labl>
  </catgry>
  <catgry>
    <catValu>127</catValu>
    <labl>127</labl>
  </catgry>
  <catgry>
    <catValu>128</catValu>
    <labl>128</labl>
  </catgry>
  <catgry>
    <catValu>129</catValu>
    <labl>129</labl>
  </catgry>
  <catgry>
    <catValu>130</catValu>
    <labl>130</labl>
  </catgry>
  <catgry>
    <catValu>131</catValu>
    <labl>131</labl>
  </catgry>
  <catgry>
    <catValu>132</catValu>
    <labl>132</labl>
  </catgry>
  <catgry>
    <catValu>133</catValu>
    <labl>133</labl>
  </catgry>
  <catgry>
    <catValu>134</catValu>
    <labl>134</labl>
  </catgry>
  <catgry>
    <catValu>135</catValu>
    <labl>135</labl>
  </catgry>
  <catgry>
    <catValu>136</catValu>
    <labl>136</labl>
  </catgry>
  <catgry>
    <catValu>137</catValu>
    <labl>137</labl>
  </catgry>
  <catgry>
    <catValu>138</catValu>
    <labl>138</labl>
  </catgry>
  <catgry>
    <catValu>139</catValu>
    <labl>139</labl>
  </catgry>
  <catgry>
    <catValu>140</catValu>
    <labl>140</labl>
  </catgry>
  <catgry>
    <catValu>141</catValu>
    <labl>141</labl>
  </catgry>
  <catgry>
    <catValu>142</catValu>
    <labl>142</labl>
  </catgry>
  <catgry>
    <catValu>143</catValu>
    <labl>143</labl>
  </catgry>
  <catgry>
    <catValu>144</catValu>
    <labl>144</labl>
  </catgry>
  <catgry>
    <catValu>145</catValu>
    <labl>145</labl>
  </catgry>
  <catgry>
    <catValu>146</catValu>
    <labl>146</labl>
  </catgry>
  <catgry>
    <catValu>147</catValu>
    <labl>147</labl>
  </catgry>
  <catgry>
    <catValu>148</catValu>
    <labl>148</labl>
  </catgry>
  <catgry>
    <catValu>149</catValu>
    <labl>149</labl>
  </catgry>
  <catgry>
    <catValu>150</catValu>
    <labl>150</labl>
  </catgry>
  <catgry>
    <catValu>151</catValu>
    <labl>151</labl>
  </catgry>
  <catgry>
    <catValu>152</catValu>
    <labl>152</labl>
  </catgry>
  <catgry>
    <catValu>153</catValu>
    <labl>153</labl>
  </catgry>
  <catgry>
    <catValu>154</catValu>
    <labl>154</labl>
  </catgry>
  <catgry>
    <catValu>155</catValu>
    <labl>155</labl>
  </catgry>
  <catgry>
    <catValu>156</catValu>
    <labl>156</labl>
  </catgry>
  <catgry>
    <catValu>157</catValu>
    <labl>157</labl>
  </catgry>
  <catgry>
    <catValu>158</catValu>
    <labl>158</labl>
  </catgry>
  <catgry>
    <catValu>159</catValu>
    <labl>159</labl>
  </catgry>
  <catgry>
    <catValu>160</catValu>
    <labl>160</labl>
  </catgry>
  <catgry>
    <catValu>161</catValu>
    <labl>161</labl>
  </catgry>
  <catgry>
    <catValu>162</catValu>
    <labl>162</labl>
  </catgry>
  <catgry>
    <catValu>163</catValu>
    <labl>163</labl>
  </catgry>
  <catgry>
    <catValu>164</catValu>
    <labl>164</labl>
  </catgry>
  <catgry>
    <catValu>165</catValu>
    <labl>165</labl>
  </catgry>
  <catgry>
    <catValu>166</catValu>
    <labl>166</labl>
  </catgry>
  <catgry>
    <catValu>167</catValu>
    <labl>167</labl>
  </catgry>
  <catgry>
    <catValu>168</catValu>
    <labl>168</labl>
  </catgry>
  <catgry>
    <catValu>169</catValu>
    <labl>169</labl>
  </catgry>
  <catgry>
    <catValu>170</catValu>
    <labl>170</labl>
  </catgry>
  <catgry>
    <catValu>171</catValu>
    <labl>171</labl>
  </catgry>
  <catgry>
    <catValu>172</catValu>
    <labl>172</labl>
  </catgry>
  <catgry>
    <catValu>173</catValu>
    <labl>173</labl>
  </catgry>
  <catgry>
    <catValu>174</catValu>
    <labl>174</labl>
  </catgry>
  <catgry>
    <catValu>175</catValu>
    <labl>175</labl>
  </catgry>
  <catgry>
    <catValu>176</catValu>
    <labl>176</labl>
  </catgry>
  <catgry>
    <catValu>177</catValu>
    <labl>177</labl>
  </catgry>
  <catgry>
    <catValu>178</catValu>
    <labl>178</labl>
  </catgry>
  <catgry>
    <catValu>179</catValu>
    <labl>179</labl>
  </catgry>
  <catgry>
    <catValu>180</catValu>
    <labl>180</labl>
  </catgry>
  <catgry>
    <catValu>181</catValu>
    <labl>181</labl>
  </catgry>
  <catgry>
    <catValu>182</catValu>
    <labl>182</labl>
  </catgry>
  <catgry>
    <catValu>183</catValu>
    <labl>183</labl>
  </catgry>
  <catgry>
    <catValu>184</catValu>
    <labl>184</labl>
  </catgry>
  <catgry>
    <catValu>185</catValu>
    <labl>185</labl>
  </catgry>
  <catgry>
    <catValu>186</catValu>
    <labl>186</labl>
  </catgry>
  <catgry>
    <catValu>187</catValu>
    <labl>187</labl>
  </catgry>
  <catgry>
    <catValu>188</catValu>
    <labl>188</labl>
  </catgry>
  <catgry>
    <catValu>189</catValu>
    <labl>189</labl>
  </catgry>
  <catgry>
    <catValu>190</catValu>
    <labl>190</labl>
  </catgry>
  <catgry>
    <catValu>191</catValu>
    <labl>191</labl>
  </catgry>
  <catgry>
    <catValu>192</catValu>
    <labl>192</labl>
  </catgry>
  <catgry>
    <catValu>193</catValu>
    <labl>193</labl>
  </catgry>
  <catgry>
    <catValu>194</catValu>
    <labl>194</labl>
  </catgry>
  <catgry>
    <catValu>195</catValu>
    <labl>195</labl>
  </catgry>
  <catgry>
    <catValu>196</catValu>
    <labl>196</labl>
  </catgry>
  <catgry>
    <catValu>197</catValu>
    <labl>197</labl>
  </catgry>
  <catgry>
    <catValu>198</catValu>
    <labl>198</labl>
  </catgry>
  <catgry>
    <catValu>199</catValu>
    <labl>199</labl>
  </catgry>
  <catgry>
    <catValu>200</catValu>
    <labl>200</labl>
  </catgry>
  <catgry>
    <catValu>201</catValu>
    <labl>201</labl>
  </catgry>
  <catgry>
    <catValu>202</catValu>
    <labl>202</labl>
  </catgry>
  <catgry>
    <catValu>203</catValu>
    <labl>203</labl>
  </catgry>
  <catgry>
    <catValu>204</catValu>
    <labl>204</labl>
  </catgry>
  <catgry>
    <catValu>205</catValu>
    <labl>205</labl>
  </catgry>
  <catgry>
    <catValu>206</catValu>
    <labl>206</labl>
  </catgry>
  <catgry>
    <catValu>207</catValu>
    <labl>207</labl>
  </catgry>
  <catgry>
    <catValu>208</catValu>
    <labl>208</labl>
  </catgry>
  <catgry>
    <catValu>209</catValu>
    <labl>209</labl>
  </catgry>
  <catgry>
    <catValu>210</catValu>
    <labl>210</labl>
  </catgry>
  <catgry>
    <catValu>211</catValu>
    <labl>211</labl>
  </catgry>
  <catgry>
    <catValu>212</catValu>
    <labl>212</labl>
  </catgry>
  <catgry>
    <catValu>213</catValu>
    <labl>213</labl>
  </catgry>
  <catgry>
    <catValu>214</catValu>
    <labl>214</labl>
  </catgry>
  <catgry>
    <catValu>215</catValu>
    <labl>215</labl>
  </catgry>
  <catgry>
    <catValu>216</catValu>
    <labl>216</labl>
  </catgry>
  <catgry>
    <catValu>217</catValu>
    <labl>217</labl>
  </catgry>
  <catgry>
    <catValu>218</catValu>
    <labl>218</labl>
  </catgry>
  <catgry>
    <catValu>219</catValu>
    <labl>219</labl>
  </catgry>
  <catgry>
    <catValu>220</catValu>
    <labl>220</labl>
  </catgry>
  <catgry>
    <catValu>221</catValu>
    <labl>221</labl>
  </catgry>
  <catgry>
    <catValu>222</catValu>
    <labl>222</labl>
  </catgry>
  <catgry>
    <catValu>223</catValu>
    <labl>223</labl>
  </catgry>
  <catgry>
    <catValu>224</catValu>
    <labl>224</labl>
  </catgry>
  <catgry>
    <catValu>225</catValu>
    <labl>225</labl>
  </catgry>
  <catgry>
    <catValu>226</catValu>
    <labl>226</labl>
  </catgry>
  <catgry>
    <catValu>227</catValu>
    <labl>227</labl>
  </catgry>
  <catgry>
    <catValu>228</catValu>
    <labl>228</labl>
  </catgry>
  <catgry>
    <catValu>229</catValu>
    <labl>229</labl>
  </catgry>
  <catgry>
    <catValu>230</catValu>
    <labl>230</labl>
  </catgry>
  <catgry>
    <catValu>231</catValu>
    <labl>231</labl>
  </catgry>
  <catgry>
    <catValu>232</catValu>
    <labl>232</labl>
  </catgry>
  <catgry>
    <catValu>233</catValu>
    <labl>233</labl>
  </catgry>
  <catgry>
    <catValu>234</catValu>
    <labl>234</labl>
  </catgry>
  <catgry>
    <catValu>235</catValu>
    <labl>235</labl>
  </catgry>
  <catgry>
    <catValu>236</catValu>
    <labl>236</labl>
  </catgry>
  <catgry>
    <catValu>237</catValu>
    <labl>237</labl>
  </catgry>
  <catgry>
    <catValu>238</catValu>
    <labl>238</labl>
  </catgry>
  <catgry>
    <catValu>239</catValu>
    <labl>239</labl>
  </catgry>
  <catgry>
    <catValu>240</catValu>
    <labl>240</labl>
  </catgry>
  <catgry>
    <catValu>241</catValu>
    <labl>241</labl>
  </catgry>
  <catgry>
    <catValu>242</catValu>
    <labl>242</labl>
  </catgry>
  <catgry>
    <catValu>243</catValu>
    <labl>243</labl>
  </catgry>
  <catgry>
    <catValu>244</catValu>
    <labl>244</labl>
  </catgry>
  <catgry>
    <catValu>245</catValu>
    <labl>245</labl>
  </catgry>
  <catgry>
    <catValu>246</catValu>
    <labl>246</labl>
  </catgry>
  <catgry>
    <catValu>247</catValu>
    <labl>247</labl>
  </catgry>
  <catgry>
    <catValu>248</catValu>
    <labl>248</labl>
  </catgry>
  <catgry>
    <catValu>249</catValu>
    <labl>249</labl>
  </catgry>
  <catgry>
    <catValu>250</catValu>
    <labl>250</labl>
  </catgry>
  <catgry>
    <catValu>251</catValu>
    <labl>251</labl>
  </catgry>
  <catgry>
    <catValu>252</catValu>
    <labl>252</labl>
  </catgry>
  <catgry>
    <catValu>253</catValu>
    <labl>253</labl>
  </catgry>
  <catgry>
    <catValu>254</catValu>
    <labl>254</labl>
  </catgry>
  <catgry>
    <catValu>255</catValu>
    <labl>255</labl>
  </catgry>
  <catgry>
    <catValu>256</catValu>
    <labl>256</labl>
  </catgry>
  <catgry>
    <catValu>257</catValu>
    <labl>257</labl>
  </catgry>
  <catgry>
    <catValu>258</catValu>
    <labl>258</labl>
  </catgry>
  <catgry>
    <catValu>259</catValu>
    <labl>259</labl>
  </catgry>
  <catgry>
    <catValu>260</catValu>
    <labl>260</labl>
  </catgry>
  <catgry>
    <catValu>261</catValu>
    <labl>261</labl>
  </catgry>
  <catgry>
    <catValu>262</catValu>
    <labl>262</labl>
  </catgry>
  <catgry>
    <catValu>263</catValu>
    <labl>263</labl>
  </catgry>
  <catgry>
    <catValu>264</catValu>
    <labl>264</labl>
  </catgry>
  <catgry>
    <catValu>265</catValu>
    <labl>265</labl>
  </catgry>
  <catgry>
    <catValu>266</catValu>
    <labl>266</labl>
  </catgry>
  <catgry>
    <catValu>267</catValu>
    <labl>267</labl>
  </catgry>
  <catgry>
    <catValu>268</catValu>
    <labl>268</labl>
  </catgry>
  <catgry>
    <catValu>269</catValu>
    <labl>269</labl>
  </catgry>
  <catgry>
    <catValu>270</catValu>
    <labl>270</labl>
  </catgry>
  <catgry>
    <catValu>271</catValu>
    <labl>271</labl>
  </catgry>
  <catgry>
    <catValu>272</catValu>
    <labl>272</labl>
  </catgry>
  <catgry>
    <catValu>273</catValu>
    <labl>273</labl>
  </catgry>
  <catgry>
    <catValu>274</catValu>
    <labl>274</labl>
  </catgry>
  <catgry>
    <catValu>275</catValu>
    <labl>275</labl>
  </catgry>
  <catgry>
    <catValu>276</catValu>
    <labl>276</labl>
  </catgry>
  <catgry>
    <catValu>277</catValu>
    <labl>277</labl>
  </catgry>
  <catgry>
    <catValu>278</catValu>
    <labl>278</labl>
  </catgry>
  <catgry>
    <catValu>279</catValu>
    <labl>279</labl>
  </catgry>
  <catgry>
    <catValu>280</catValu>
    <labl>280</labl>
  </catgry>
  <catgry>
    <catValu>281</catValu>
    <labl>281</labl>
  </catgry>
  <catgry>
    <catValu>282</catValu>
    <labl>282</labl>
  </catgry>
  <catgry>
    <catValu>283</catValu>
    <labl>283</labl>
  </catgry>
  <catgry>
    <catValu>284</catValu>
    <labl>284</labl>
  </catgry>
  <catgry>
    <catValu>285</catValu>
    <labl>285</labl>
  </catgry>
  <catgry>
    <catValu>286</catValu>
    <labl>286</labl>
  </catgry>
  <catgry>
    <catValu>287</catValu>
    <labl>287</labl>
  </catgry>
  <catgry>
    <catValu>288</catValu>
    <labl>288</labl>
  </catgry>
  <catgry>
    <catValu>289</catValu>
    <labl>289</labl>
  </catgry>
  <catgry>
    <catValu>290</catValu>
    <labl>290</labl>
  </catgry>
  <catgry>
    <catValu>291</catValu>
    <labl>291</labl>
  </catgry>
  <catgry>
    <catValu>292</catValu>
    <labl>292</labl>
  </catgry>
  <catgry>
    <catValu>293</catValu>
    <labl>293</labl>
  </catgry>
  <catgry>
    <catValu>294</catValu>
    <labl>294</labl>
  </catgry>
  <catgry>
    <catValu>295</catValu>
    <labl>295</labl>
  </catgry>
  <catgry>
    <catValu>296</catValu>
    <labl>296</labl>
  </catgry>
  <catgry>
    <catValu>297</catValu>
    <labl>297</labl>
  </catgry>
  <catgry>
    <catValu>298</catValu>
    <labl>298</labl>
  </catgry>
  <catgry>
    <catValu>299</catValu>
    <labl>299</labl>
  </catgry>
  <catgry>
    <catValu>300</catValu>
    <labl>300</labl>
  </catgry>
  <catgry>
    <catValu>301</catValu>
    <labl>301</labl>
  </catgry>
  <catgry>
    <catValu>302</catValu>
    <labl>302</labl>
  </catgry>
  <catgry>
    <catValu>303</catValu>
    <labl>303</labl>
  </catgry>
  <catgry>
    <catValu>304</catValu>
    <labl>304</labl>
  </catgry>
  <catgry>
    <catValu>305</catValu>
    <labl>305</labl>
  </catgry>
  <catgry>
    <catValu>306</catValu>
    <labl>306</labl>
  </catgry>
  <catgry>
    <catValu>307</catValu>
    <labl>307</labl>
  </catgry>
  <catgry>
    <catValu>308</catValu>
    <labl>308</labl>
  </catgry>
  <catgry>
    <catValu>309</catValu>
    <labl>309</labl>
  </catgry>
  <catgry>
    <catValu>310</catValu>
    <labl>310</labl>
  </catgry>
  <catgry>
    <catValu>311</catValu>
    <labl>311</labl>
  </catgry>
  <catgry>
    <catValu>312</catValu>
    <labl>312</labl>
  </catgry>
  <catgry>
    <catValu>313</catValu>
    <labl>313</labl>
  </catgry>
  <catgry>
    <catValu>314</catValu>
    <labl>314</labl>
  </catgry>
  <catgry>
    <catValu>315</catValu>
    <labl>315</labl>
  </catgry>
  <catgry>
    <catValu>316</catValu>
    <labl>316</labl>
  </catgry>
  <catgry>
    <catValu>317</catValu>
    <labl>317</labl>
  </catgry>
  <catgry>
    <catValu>318</catValu>
    <labl>318</labl>
  </catgry>
  <catgry>
    <catValu>319</catValu>
    <labl>319</labl>
  </catgry>
  <catgry>
    <catValu>320</catValu>
    <labl>320</labl>
  </catgry>
  <catgry>
    <catValu>321</catValu>
    <labl>321</labl>
  </catgry>
  <catgry>
    <catValu>322</catValu>
    <labl>322</labl>
  </catgry>
  <catgry>
    <catValu>323</catValu>
    <labl>323</labl>
  </catgry>
  <catgry>
    <catValu>324</catValu>
    <labl>324</labl>
  </catgry>
  <catgry>
    <catValu>325</catValu>
    <labl>325</labl>
  </catgry>
  <catgry>
    <catValu>326</catValu>
    <labl>326</labl>
  </catgry>
  <catgry>
    <catValu>327</catValu>
    <labl>327</labl>
  </catgry>
  <catgry>
    <catValu>328</catValu>
    <labl>328</labl>
  </catgry>
  <catgry>
    <catValu>329</catValu>
    <labl>329</labl>
  </catgry>
  <catgry>
    <catValu>330</catValu>
    <labl>330</labl>
  </catgry>
  <catgry>
    <catValu>331</catValu>
    <labl>331</labl>
  </catgry>
  <catgry>
    <catValu>332</catValu>
    <labl>332</labl>
  </catgry>
  <catgry>
    <catValu>333</catValu>
    <labl>333</labl>
  </catgry>
  <catgry>
    <catValu>334</catValu>
    <labl>334</labl>
  </catgry>
  <catgry>
    <catValu>335</catValu>
    <labl>335</labl>
  </catgry>
  <catgry>
    <catValu>336</catValu>
    <labl>336</labl>
  </catgry>
  <catgry>
    <catValu>337</catValu>
    <labl>337</labl>
  </catgry>
  <catgry>
    <catValu>338</catValu>
    <labl>338</labl>
  </catgry>
  <catgry>
    <catValu>339</catValu>
    <labl>339</labl>
  </catgry>
  <catgry>
    <catValu>340</catValu>
    <labl>340</labl>
  </catgry>
  <catgry>
    <catValu>341</catValu>
    <labl>341</labl>
  </catgry>
  <catgry>
    <catValu>342</catValu>
    <labl>342</labl>
  </catgry>
  <catgry>
    <catValu>343</catValu>
    <labl>343</labl>
  </catgry>
  <catgry>
    <catValu>344</catValu>
    <labl>344</labl>
  </catgry>
  <catgry>
    <catValu>345</catValu>
    <labl>345</labl>
  </catgry>
  <catgry>
    <catValu>346</catValu>
    <labl>346</labl>
  </catgry>
  <catgry>
    <catValu>347</catValu>
    <labl>347</labl>
  </catgry>
  <catgry>
    <catValu>348</catValu>
    <labl>348</labl>
  </catgry>
  <catgry>
    <catValu>349</catValu>
    <labl>349</labl>
  </catgry>
  <catgry>
    <catValu>350</catValu>
    <labl>350</labl>
  </catgry>
  <catgry>
    <catValu>351</catValu>
    <labl>351</labl>
  </catgry>
  <catgry>
    <catValu>352</catValu>
    <labl>352</labl>
  </catgry>
  <catgry>
    <catValu>353</catValu>
    <labl>353</labl>
  </catgry>
  <catgry>
    <catValu>354</catValu>
    <labl>354</labl>
  </catgry>
  <catgry>
    <catValu>355</catValu>
    <labl>355</labl>
  </catgry>
  <catgry>
    <catValu>356</catValu>
    <labl>356</labl>
  </catgry>
  <catgry>
    <catValu>357</catValu>
    <labl>357</labl>
  </catgry>
  <catgry>
    <catValu>358</catValu>
    <labl>358</labl>
  </catgry>
  <catgry>
    <catValu>359</catValu>
    <labl>359</labl>
  </catgry>
  <catgry>
    <catValu>360</catValu>
    <labl>360+</labl>
  </catgry>
  <catgry>
    <catValu>995</catValu>
    <labl>On premises</labl>
  </catgry>
  <catgry>
    <catValu>996</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>997</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>999</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TIMETOWTRHH (HV204) reports the time in minutes it takes members of the household to get to their main source of water and return to their dwelling.  In IPUMS-DHS, this variable is top-coded at 360 minutes or more (6 hours or longer).

The information in TIMETOWTRHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Toilet and water Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_BIKEHH" name="H_BIKEHH" files="H" intrvl="discrete">
  <labl>HH has bicycle (from HH record)</labl>
  <imputation>HH has bicycle (from HH record)</imputation>
  <security>HH has bicycle (from HH record)</security>
  <embargo>HH has bicycle (from HH record)</embargo>
  <respUnit>HH has bicycle (from HH record)</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>BIKEHH (HV210) indicates whether any member of the household has a bicycle. 

The information in BIKEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_CARHH" name="H_CARHH" files="H" intrvl="discrete">
  <labl>HH has car/truck (from HH record)</labl>
  <imputation>HH has car/truck (from HH record)</imputation>
  <security>HH has car/truck (from HH record)</security>
  <embargo>HH has car/truck (from HH record)</embargo>
  <respUnit>HH has car/truck (from HH record)</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>CARHH (HV212) indicates whether any member of the household owns a car or truck (or other motor vehicle). The specific type of motor vehicle mentioned varies across samples. See Comparability. 

The information in CARHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_MOTORCYCLHH" name="H_MOTORCYCLHH" files="H" intrvl="discrete">
  <labl>HH has motorcycle/scooter (from HH record)</labl>
  <imputation>HH has motorcycle/scooter (from HH record)</imputation>
  <security>HH has motorcycle/scooter (from HH record)</security>
  <embargo>HH has motorcycle/scooter (from HH record)</embargo>
  <respUnit>HH has motorcycle/scooter (from HH record)</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>MOTORCYCLHH (HV211) indicates whether any member of the household owns a motorcycle or scooter.

The information in MOTORCYCLHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_FRIDGEHH" name="H_FRIDGEHH" files="H" intrvl="discrete">
  <labl>HH has refrigerator (from HH record)</labl>
  <imputation>HH has refrigerator (from HH record)</imputation>
  <security>HH has refrigerator (from HH record)</security>
  <embargo>HH has refrigerator (from HH record)</embargo>
  <respUnit>HH has refrigerator (from HH record)</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>FRIDGEHH (HV209) indicates whether the household has a refrigerator. Some samples specified that the refrigerator must be working or owned by the household. See Comparability.

The information in FRIDGEHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_RADIOHH" name="H_RADIOHH" files="H" intrvl="discrete">
  <labl>HH has radio (from HH record)</labl>
  <imputation>HH has radio (from HH record)</imputation>
  <security>HH has radio (from HH record)</security>
  <embargo>HH has radio (from HH record)</embargo>
  <respUnit>HH has radio (from HH record)</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>RADIOHH (HV207) indicates whether any member of the household owns a radio. Some samples specified that the radio must be working or fit other specifications. See Comparability.

The information in RADIOHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TVHH" name="H_TVHH" files="H" intrvl="discrete">
  <labl>HH has television (from HH record)</labl>
  <imputation>HH has television (from HH record)</imputation>
  <security>HH has television (from HH record)</security>
  <embargo>HH has television (from HH record)</embargo>
  <respUnit>HH has television (from HH record)</respUnit>
  <qstn>
    <qstnLit>23 In your residence, do you have:

Electricity?
A radio?
A television?
A refrigerator?

ELECTRICITY

YES 1
NO 2

RADIO

YES 1
NO 2

TELEVISION

YES 1
NO 2

REFRIGERATOR

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Unknown</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>TVHH (HV208) indicates whether any member of the household has a television. Some samples specified that the TV must be in working order. See Comparability.

The information in TVHH is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_DRAWNCART" name="H_DRAWNCART" files="H" intrvl="discrete">
  <labl>HH has animal-drawn cart</labl>
  <imputation>HH has animal-drawn cart</imputation>
  <security>HH has animal-drawn cart</security>
  <embargo>HH has animal-drawn cart</embargo>
  <respUnit>HH has animal-drawn cart</respUnit>
  <qstn>
    <qstnLit>27) Is there someone in your household who owns:

A bicycle?
A scooter or motorcycle?
A car?
A cart?

BICYCLE

YES 1
NO 2

SCOOTER/MOTORCYCLE

YES 1
NO 2

CAR

YES 1
NO 2

CART

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Non-resident</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>DRAWNCART indicates whether a household member owned an animal-drawn cart. Question wording varied across samples; see Comparability.

The information in DRAWNCART is taken from the household record and applies to regular household residents, not temporary visitors. Researchers may wish to exclude visitors using the RESIDENT variable (with visitors coded "2") when women, children, or births are the unit of analysis, and using the HHRESIDENT variable when household members are the unit of analysis.</txt>
  <concept>
    <title>Agricultural possessions Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_EDLEVEL" name="H_EDLEVEL" files="H" intrvl="discrete">
  <labl>Highest education level attained</labl>
  <imputation>Highest education level attained</imputation>
  <security>Highest education level attained</security>
  <embargo>Highest education level attained</embargo>
  <respUnit>Highest education level attained</respUnit>
  <catgry>
    <labl>No education/primary</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Primary</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Secondary</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Higher</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>EDLEVEL (HV106) reports the highest level of school the household member attended. Countries vary in the gradations of their school systems, but EDUCLVL is a standardized variable reporting level of education in four broad categories: No education, Primary, Secondary, and Higher.

Any household member below the lower age limit (usually 6 years) for the education questions is classified in the "No education" category.</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_EDLEVYR" name="H_EDLEVYR" files="H" intrvl="discrete">
  <labl>Highest year of education completed in level</labl>
  <imputation>Highest year of education completed in level</imputation>
  <security>Highest year of education completed in level</security>
  <embargo>Highest year of education completed in level</embargo>
  <respUnit>Highest year of education completed in level</respUnit>
  <catgry>
    <catValu>00</catValu>
    <labl>Less than 1 year</labl>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>EDLEVYR (HV107) reports the number of years of schooling completed by the household member at the educational level (primary, secondary, or higher) reported in EDLEVEL (HV106). See Comparability for more information on how to correctly interpret values in EDLEVYR.

For the household member's total years of education, see EDYEARS (HV108).</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_EDYEARS" name="H_EDYEARS" files="H" intrvl="discrete">
  <labl>Education in completed years</labl>
  <imputation>Education in completed years</imputation>
  <security>Education in completed years</security>
  <embargo>Education in completed years</embargo>
  <respUnit>Education in completed years</respUnit>
  <catgry>
    <catValu>00</catValu>
  </catgry>
  <catgry>
    <catValu>01</catValu>
    <labl>1</labl>
  </catgry>
  <catgry>
    <catValu>02</catValu>
    <labl>2</labl>
  </catgry>
  <catgry>
    <catValu>03</catValu>
    <labl>3</labl>
  </catgry>
  <catgry>
    <catValu>04</catValu>
    <labl>4</labl>
  </catgry>
  <catgry>
    <catValu>05</catValu>
    <labl>5</labl>
  </catgry>
  <catgry>
    <catValu>06</catValu>
    <labl>6</labl>
  </catgry>
  <catgry>
    <catValu>07</catValu>
    <labl>7</labl>
  </catgry>
  <catgry>
    <catValu>08</catValu>
    <labl>8</labl>
  </catgry>
  <catgry>
    <catValu>09</catValu>
    <labl>9</labl>
  </catgry>
  <catgry>
    <catValu>10</catValu>
    <labl>10</labl>
  </catgry>
  <catgry>
    <catValu>11</catValu>
    <labl>11</labl>
  </catgry>
  <catgry>
    <catValu>12</catValu>
    <labl>12</labl>
  </catgry>
  <catgry>
    <catValu>13</catValu>
    <labl>13</labl>
  </catgry>
  <catgry>
    <catValu>14</catValu>
    <labl>14</labl>
  </catgry>
  <catgry>
    <catValu>15</catValu>
    <labl>15</labl>
  </catgry>
  <catgry>
    <catValu>16</catValu>
    <labl>16</labl>
  </catgry>
  <catgry>
    <catValu>17</catValu>
    <labl>17</labl>
  </catgry>
  <catgry>
    <catValu>18</catValu>
    <labl>18</labl>
  </catgry>
  <catgry>
    <catValu>19</catValu>
    <labl>19</labl>
  </catgry>
  <catgry>
    <catValu>20</catValu>
    <labl>20</labl>
  </catgry>
  <catgry>
    <catValu>21</catValu>
    <labl>21</labl>
  </catgry>
  <catgry>
    <catValu>22</catValu>
    <labl>22</labl>
  </catgry>
  <catgry>
    <catValu>23</catValu>
    <labl>23</labl>
  </catgry>
  <catgry>
    <catValu>24</catValu>
    <labl>24</labl>
  </catgry>
  <catgry>
    <catValu>25</catValu>
    <labl>25</labl>
  </catgry>
  <catgry>
    <catValu>26</catValu>
    <labl>26</labl>
  </catgry>
  <catgry>
    <catValu>27</catValu>
    <labl>27</labl>
  </catgry>
  <catgry>
    <catValu>90</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>96</catValu>
    <labl>Inconsistent</labl>
  </catgry>
  <catgry>
    <catValu>97</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>98</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>99</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>EDYEARS (HV108) reports the household member's education in single completed years. This variable is constructed from responses to EDLEVEL (HV106) and EDLEVYR (HV107), as follows:

If EDLEVEL = "No education," EDYEARS = "0"
If EDLEVEL = "Primary," EDYEARS = EDLEVYR
If EDLEVEL = "Secondary," EDYEARS = EDLEVYR + x
If EDLEVEL = "Higher," EDYEARS = EDLEVYR + y
If EDLEVEL = "Missing," EDYEARS = "Missing"

In the above equations, "x" equals the number of years needed to complete primary education, and "y" equals the number of years needed to complete primary and secondary education. The values of "x" and "y" are country-specific.</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_EDSUMM" name="H_EDSUMM" files="H" intrvl="discrete">
  <labl>Educational attainment</labl>
  <imputation>Educational attainment</imputation>
  <security>Educational attainment</security>
  <embargo>Educational attainment</embargo>
  <respUnit>Educational attainment</respUnit>
  <catgry>
    <labl>No education</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Incomplete primary</labl>
  </catgry>
  <catgry>
    <catValu>2</catValu>
    <labl>Complete primary</labl>
  </catgry>
  <catgry>
    <catValu>3</catValu>
    <labl>Incomplete secondary</labl>
  </catgry>
  <catgry>
    <catValu>4</catValu>
    <labl>Complete secondary</labl>
  </catgry>
  <catgry>
    <catValu>5</catValu>
    <labl>Higher</labl>
  </catgry>
  <catgry>
    <catValu>6</catValu>
    <labl>Other</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>EDSUMM (HV109) is a summary variable that reports the household member's highest level of education in broad categories. Countries vary in the gradations of their school systems, but EDSUMM is a standardized variable providing the level of education in six categories: No education, Incomplete primary, Complete primary, Incomplete secondary, Complete secondary, and Higher. 

EDSUMM is constructed from information contained in EDLEVEL (HV106) and EDLEVYR (HV107).</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_EDINSCHOOL" name="H_EDINSCHOOL" files="H" intrvl="discrete">
  <labl>Member still in school</labl>
  <imputation>Member still in school</imputation>
  <security>Member still in school</security>
  <embargo>Member still in school</embargo>
  <respUnit>Member still in school</respUnit>
  <qstn>
    <qstnLit>10) IF UNDER 25 YEARS OLD: Does (NAME) still go to school?

YES 1
NO 2</qstnLit>
  </qstn>
  <catgry>
    <labl>No</labl>
  </catgry>
  <catgry>
    <catValu>1</catValu>
    <labl>Yes</labl>
  </catgry>
  <catgry>
    <catValu>7</catValu>
    <labl>Don't know</labl>
  </catgry>
  <catgry>
    <catValu>8</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>9</catValu>
    <labl>NIU (not in universe)</labl>
  </catgry>
  <txt>EDINSCHOOL (HV110) indicates whether the household member is still in school. All members whose age is equal to or greater than the upper limit (usually age 25) for this question or who have never attended school are coded "0" for ("No," or not in school).</txt>
  <concept>
    <title>Education Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_SOIL" name="H_SOIL" files="H" intrvl="discrete">
  <labl>Soil type</labl>
  <imputation>Soil type</imputation>
  <security>Soil type</security>
  <embargo>Soil type</embargo>
  <respUnit>Soil type</respUnit>
  <catgry>
    <catValu>-998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>0001</catValu>
    <labl>Haplic Acrisols</labl>
  </catgry>
  <catgry>
    <catValu>0002</catValu>
    <labl>Haplic Acrisols (Alumic)</labl>
  </catgry>
  <catgry>
    <catValu>0003</catValu>
    <labl>Haplic Acrisols (Ferric)</labl>
  </catgry>
  <catgry>
    <catValu>0004</catValu>
    <labl>Haplic Acrisols (Humic)</labl>
  </catgry>
  <catgry>
    <catValu>0005</catValu>
    <labl>Plinthic Acrisols</labl>
  </catgry>
  <catgry>
    <catValu>0006</catValu>
    <labl>Vetic Acrisols</labl>
  </catgry>
  <catgry>
    <catValu>0007</catValu>
    <labl>Haplic Albeluvisols</labl>
  </catgry>
  <catgry>
    <catValu>0008</catValu>
    <labl>Histic Albeluvisols</labl>
  </catgry>
  <catgry>
    <catValu>0009</catValu>
    <labl>Umbric Albeluvisols</labl>
  </catgry>
  <catgry>
    <catValu>0010</catValu>
    <labl>Cutanic Alisols</labl>
  </catgry>
  <catgry>
    <catValu>0011</catValu>
    <labl>Haplic Alisols</labl>
  </catgry>
  <catgry>
    <catValu>0012</catValu>
    <labl>Aluandic Andosols</labl>
  </catgry>
  <catgry>
    <catValu>0013</catValu>
    <labl>Haplic Andosols</labl>
  </catgry>
  <catgry>
    <catValu>0014</catValu>
    <labl>Vitric Andosols</labl>
  </catgry>
  <catgry>
    <catValu>0015</catValu>
    <labl>Albic Arenosols</labl>
  </catgry>
  <catgry>
    <catValu>0016</catValu>
    <labl>Ferralic Arenosols</labl>
  </catgry>
  <catgry>
    <catValu>0017</catValu>
    <labl>Haplic Arenosols</labl>
  </catgry>
  <catgry>
    <catValu>0018</catValu>
    <labl>Haplic Arenosols (Calcaric)</labl>
  </catgry>
  <catgry>
    <catValu>0019</catValu>
    <labl>Hypoluvic Arenosols</labl>
  </catgry>
  <catgry>
    <catValu>0020</catValu>
    <labl>Protic Arenosols</labl>
  </catgry>
  <catgry>
    <catValu>0021</catValu>
    <labl>Haplic Calcisols</labl>
  </catgry>
  <catgry>
    <catValu>0022</catValu>
    <labl>Haplic Calcisols (Sodic)</labl>
  </catgry>
  <catgry>
    <catValu>0023</catValu>
    <labl>Luvic Calcisols</labl>
  </catgry>
  <catgry>
    <catValu>0024</catValu>
    <labl>Petric Calcisols</labl>
  </catgry>
  <catgry>
    <catValu>0025</catValu>
    <labl>Endogleyic Cambisols</labl>
  </catgry>
  <catgry>
    <catValu>0026</catValu>
    <labl>Ferralic Cambisols</labl>
  </catgry>
  <catgry>
    <catValu>0027</catValu>
    <labl>Haplic Cambisols</labl>
  </catgry>
  <catgry>
    <catValu>0028</catValu>
    <labl>Haplic Cambisols (Calcaric)</labl>
  </catgry>
  <catgry>
    <catValu>0029</catValu>
    <labl>Haplic Cambisols (Chromic)</labl>
  </catgry>
  <catgry>
    <catValu>0030</catValu>
    <labl>Haplic Cambisols (Dystric)</labl>
  </catgry>
  <catgry>
    <catValu>0031</catValu>
    <labl>Haplic Cambisols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0032</catValu>
    <labl>Haplic Cambisols (Humic)</labl>
  </catgry>
  <catgry>
    <catValu>0033</catValu>
    <labl>Haplic Cambisols (Sodic)</labl>
  </catgry>
  <catgry>
    <catValu>0034</catValu>
    <labl>Leptic Cambisols</labl>
  </catgry>
  <catgry>
    <catValu>0035</catValu>
    <labl>Vertic Cambisols</labl>
  </catgry>
  <catgry>
    <catValu>0036</catValu>
    <labl>Calcic Chernozems</labl>
  </catgry>
  <catgry>
    <catValu>0037</catValu>
    <labl>Haplic Chernozems</labl>
  </catgry>
  <catgry>
    <catValu>0038</catValu>
    <labl>Luvic Chernozems</labl>
  </catgry>
  <catgry>
    <catValu>0039</catValu>
    <labl>Haplic Cryosols</labl>
  </catgry>
  <catgry>
    <catValu>0040</catValu>
    <labl>Turbic Cryosols</labl>
  </catgry>
  <catgry>
    <catValu>0041</catValu>
    <labl>Vitric Cryosols</labl>
  </catgry>
  <catgry>
    <catValu>0042</catValu>
    <labl>Petric Durisols</labl>
  </catgry>
  <catgry>
    <catValu>0043</catValu>
    <labl>Acric Ferralsols</labl>
  </catgry>
  <catgry>
    <catValu>0044</catValu>
    <labl>Haplic Ferralsols</labl>
  </catgry>
  <catgry>
    <catValu>0045</catValu>
    <labl>Haplic Ferralsols (Rhodic)</labl>
  </catgry>
  <catgry>
    <catValu>0046</catValu>
    <labl>Haplic Ferralsols (Xanthic)</labl>
  </catgry>
  <catgry>
    <catValu>0047</catValu>
    <labl>Umbric Ferralsols</labl>
  </catgry>
  <catgry>
    <catValu>0048</catValu>
    <labl>Haplic Fluvisols</labl>
  </catgry>
  <catgry>
    <catValu>0049</catValu>
    <labl>Haplic Fluvisols (Arenic)</labl>
  </catgry>
  <catgry>
    <catValu>0050</catValu>
    <labl>Haplic Fluvisols (Calcaric)</labl>
  </catgry>
  <catgry>
    <catValu>0051</catValu>
    <labl>Haplic Fluvisols (Dystric)</labl>
  </catgry>
  <catgry>
    <catValu>0052</catValu>
    <labl>Haplic Fluvisols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0053</catValu>
    <labl>Calcic Gleysols</labl>
  </catgry>
  <catgry>
    <catValu>0054</catValu>
    <labl>Haplic Gleysols</labl>
  </catgry>
  <catgry>
    <catValu>0055</catValu>
    <labl>Haplic Gleysols (Dystric)</labl>
  </catgry>
  <catgry>
    <catValu>0056</catValu>
    <labl>Haplic Gleysols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0057</catValu>
    <labl>Mollic Gleysols</labl>
  </catgry>
  <catgry>
    <catValu>0058</catValu>
    <labl>Umbric Gleysols</labl>
  </catgry>
  <catgry>
    <catValu>0059</catValu>
    <labl>Calcic Gypsisols</labl>
  </catgry>
  <catgry>
    <catValu>0060</catValu>
    <labl>Haplic Gypsisols</labl>
  </catgry>
  <catgry>
    <catValu>0061</catValu>
    <labl>Calcic Histosols</labl>
  </catgry>
  <catgry>
    <catValu>0062</catValu>
    <labl>Cryic Histosols</labl>
  </catgry>
  <catgry>
    <catValu>0063</catValu>
    <labl>Fibric Histosols</labl>
  </catgry>
  <catgry>
    <catValu>0064</catValu>
    <labl>Hemic Histosols</labl>
  </catgry>
  <catgry>
    <catValu>0065</catValu>
    <labl>Sapric Histosols</labl>
  </catgry>
  <catgry>
    <catValu>0066</catValu>
    <labl>Calcic Kastanozems</labl>
  </catgry>
  <catgry>
    <catValu>0067</catValu>
    <labl>Haplic Kastanozems</labl>
  </catgry>
  <catgry>
    <catValu>0068</catValu>
    <labl>Haplic Leptosols</labl>
  </catgry>
  <catgry>
    <catValu>0069</catValu>
    <labl>Haplic Leptosols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0070</catValu>
    <labl>Lithic Leptosols</labl>
  </catgry>
  <catgry>
    <catValu>0071</catValu>
    <labl>Mollic Leptosols</labl>
  </catgry>
  <catgry>
    <catValu>0072</catValu>
    <labl>Rendzic Leptosols</labl>
  </catgry>
  <catgry>
    <catValu>0073</catValu>
    <labl>Haplic Lixisols</labl>
  </catgry>
  <catgry>
    <catValu>0074</catValu>
    <labl>Haplic Lixisols (Chromic)</labl>
  </catgry>
  <catgry>
    <catValu>0075</catValu>
    <labl>Haplic Lixisols (Ferric)</labl>
  </catgry>
  <catgry>
    <catValu>0076</catValu>
    <labl>Albic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0077</catValu>
    <labl>Calcic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0078</catValu>
    <labl>Gleyic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0079</catValu>
    <labl>Haplic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0080</catValu>
    <labl>Haplic Luvisols (Chromic)</labl>
  </catgry>
  <catgry>
    <catValu>0081</catValu>
    <labl>Haplic Luvisols (Ferric)</labl>
  </catgry>
  <catgry>
    <catValu>0082</catValu>
    <labl>Leptic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0083</catValu>
    <labl>Stagnic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0084</catValu>
    <labl>Vertic Luvisols</labl>
  </catgry>
  <catgry>
    <catValu>0085</catValu>
    <labl>Alic Nitisols</labl>
  </catgry>
  <catgry>
    <catValu>0086</catValu>
    <labl>Haplic Nitisols (Rhodic)</labl>
  </catgry>
  <catgry>
    <catValu>0087</catValu>
    <labl>Haplic Phaeozems</labl>
  </catgry>
  <catgry>
    <catValu>0088</catValu>
    <labl>Leptic Phaeozems</labl>
  </catgry>
  <catgry>
    <catValu>0089</catValu>
    <labl>Luvic Phaeozems</labl>
  </catgry>
  <catgry>
    <catValu>0090</catValu>
    <labl>Endogleyic Planosols</labl>
  </catgry>
  <catgry>
    <catValu>0091</catValu>
    <labl>Haplic Planosols (Dystric)</labl>
  </catgry>
  <catgry>
    <catValu>0092</catValu>
    <labl>Haplic Planosols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0093</catValu>
    <labl>Luvic Planosols</labl>
  </catgry>
  <catgry>
    <catValu>0094</catValu>
    <labl>Solodic Planosols</labl>
  </catgry>
  <catgry>
    <catValu>0095</catValu>
    <labl>Acric Plinthosols</labl>
  </catgry>
  <catgry>
    <catValu>0096</catValu>
    <labl>Lixic Plinthosols</labl>
  </catgry>
  <catgry>
    <catValu>0097</catValu>
    <labl>Gleyic Podzols</labl>
  </catgry>
  <catgry>
    <catValu>0098</catValu>
    <labl>Haplic Podzols</labl>
  </catgry>
  <catgry>
    <catValu>0099</catValu>
    <labl>Aric Regosols</labl>
  </catgry>
  <catgry>
    <catValu>0100</catValu>
    <labl>Calcaric Regosols</labl>
  </catgry>
  <catgry>
    <catValu>0101</catValu>
    <labl>Haplic Regosols (Dystric)</labl>
  </catgry>
  <catgry>
    <catValu>0102</catValu>
    <labl>Haplic Regosols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0103</catValu>
    <labl>Haplic Regosols (Sodic)</labl>
  </catgry>
  <catgry>
    <catValu>0104</catValu>
    <labl>Leptic Regosols</labl>
  </catgry>
  <catgry>
    <catValu>0105</catValu>
    <labl>Gypsic Solonchaks</labl>
  </catgry>
  <catgry>
    <catValu>0106</catValu>
    <labl>Haplic Solonchaks</labl>
  </catgry>
  <catgry>
    <catValu>0107</catValu>
    <labl>Haplic Solonchaks (Sodic)</labl>
  </catgry>
  <catgry>
    <catValu>0108</catValu>
    <labl>Calcic Solonetz</labl>
  </catgry>
  <catgry>
    <catValu>0109</catValu>
    <labl>Gleyic Solonetz</labl>
  </catgry>
  <catgry>
    <catValu>0110</catValu>
    <labl>Haplic Solonetz</labl>
  </catgry>
  <catgry>
    <catValu>0111</catValu>
    <labl>Mollic Solonetz</labl>
  </catgry>
  <catgry>
    <catValu>0112</catValu>
    <labl>Luvic Stagnosols</labl>
  </catgry>
  <catgry>
    <catValu>0113</catValu>
    <labl>Haplic Umbrisols</labl>
  </catgry>
  <catgry>
    <catValu>0114</catValu>
    <labl>Leptic Umbrisols</labl>
  </catgry>
  <catgry>
    <catValu>0115</catValu>
    <labl>Calcic Vertisols</labl>
  </catgry>
  <catgry>
    <catValu>0116</catValu>
    <labl>Haplic Vertisols</labl>
  </catgry>
  <catgry>
    <catValu>0117</catValu>
    <labl>Haplic Vertisols (Eutric)</labl>
  </catgry>
  <catgry>
    <catValu>0118</catValu>
    <labl>Mollic Vertisols</labl>
  </catgry>
  <txt>SOIL reports the predominant soil type within a 5-kilometer circular buffer around each DHS cluster location. The soil attributes reported in SOIL are: soil class (e.g., Leptosols), with 30 class categories, and soil type within that class (e.g., Lithic Leptosols). SOIL is available for every IPUMS-DHS sample with GPS data.

SOIL is based on data from SoilGrids [URL omitted from DDI.]. SoilGrids is a system for automated soil mapping based on global soil profile and covariate data. There are 118 different soil types in the world according to SoilGrids [URL omitted from DDI.]. For the full list of codes and their meaning, see the soil legend [URL omitted from DDI.].

SOIL, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_ECOREGION" name="H_ECOREGION" files="H" intrvl="discrete">
  <labl>Ecoregion of household</labl>
  <imputation>Ecoregion of household</imputation>
  <security>Ecoregion of household</security>
  <embargo>Ecoregion of household</embargo>
  <respUnit>Ecoregion of household</respUnit>
  <catgry>
    <catValu>-0998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>10101</catValu>
    <labl>Admiralty Islands lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10102</catValu>
    <labl>Banda Sea Islands moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>10103</catValu>
    <labl>Biak-Numfoor rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10104</catValu>
    <labl>Buru rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10105</catValu>
    <labl>Central Range montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10106</catValu>
    <labl>Halmahera rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10107</catValu>
    <labl>Huon Peninsula montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10108</catValu>
    <labl>Yapen rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10109</catValu>
    <labl>Lord Howe Island subtropical forests</labl>
  </catgry>
  <catgry>
    <catValu>10110</catValu>
    <labl>Louisiade Archipelago rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10111</catValu>
    <labl>New Britain-New Ireland lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10112</catValu>
    <labl>New Britain-New Ireland montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10113</catValu>
    <labl>New Caledonia rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10114</catValu>
    <labl>Norfolk Island subtropical forests</labl>
  </catgry>
  <catgry>
    <catValu>10115</catValu>
    <labl>Northern New Guinea lowland rain and freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>10116</catValu>
    <labl>Northern New Guinea montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10117</catValu>
    <labl>Queensland tropical rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10118</catValu>
    <labl>Seram rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10119</catValu>
    <labl>Solomon Islands rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10120</catValu>
    <labl>Southeastern Papuan rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10121</catValu>
    <labl>Southern New Guinea freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>10122</catValu>
    <labl>Southern New Guinea lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10123</catValu>
    <labl>Sulawesi lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10124</catValu>
    <labl>Sulawesi montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10125</catValu>
    <labl>Trobriand Islands rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10126</catValu>
    <labl>Vanuatu rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10127</catValu>
    <labl>Vogelkop montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10128</catValu>
    <labl>Vogelkop-Aru lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10201</catValu>
    <labl>Lesser Sundas deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>10202</catValu>
    <labl>New Caledonia dry forests</labl>
  </catgry>
  <catgry>
    <catValu>10203</catValu>
    <labl>Sumba deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>10204</catValu>
    <labl>Timor and Wetar deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>10401</catValu>
    <labl>Chatham Island temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10402</catValu>
    <labl>Eastern Australian temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10403</catValu>
    <labl>Fiordland temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10404</catValu>
    <labl>Nelson Coast temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10405</catValu>
    <labl>North Island temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10406</catValu>
    <labl>Northland temperate kauri forests</labl>
  </catgry>
  <catgry>
    <catValu>10407</catValu>
    <labl>Rakiura Island temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10408</catValu>
    <labl>Richmond temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10409</catValu>
    <labl>Southeast Australia temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10410</catValu>
    <labl>South Island temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10411</catValu>
    <labl>Tasmanian Central Highland forests</labl>
  </catgry>
  <catgry>
    <catValu>10412</catValu>
    <labl>Tasmanian temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10413</catValu>
    <labl>Tasmanian temperate rain forests</labl>
  </catgry>
  <catgry>
    <catValu>10414</catValu>
    <labl>Westland temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>10701</catValu>
    <labl>Arnhem Land tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10702</catValu>
    <labl>Brigalow tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10703</catValu>
    <labl>Cape York Peninsula tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10704</catValu>
    <labl>Carpentaria tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10705</catValu>
    <labl>Einasleigh upland savanna</labl>
  </catgry>
  <catgry>
    <catValu>10706</catValu>
    <labl>Kimberly tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10707</catValu>
    <labl>Mitchell grass downs</labl>
  </catgry>
  <catgry>
    <catValu>10708</catValu>
    <labl>Trans Fly savanna and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>10709</catValu>
    <labl>Victoria Plains tropical savanna</labl>
  </catgry>
  <catgry>
    <catValu>10801</catValu>
    <labl>Cantebury-Otago tussock grasslands</labl>
  </catgry>
  <catgry>
    <catValu>10802</catValu>
    <labl>Eastern Australia mulga shrublands</labl>
  </catgry>
  <catgry>
    <catValu>10803</catValu>
    <labl>Southeast Australia temperate savanna</labl>
  </catgry>
  <catgry>
    <catValu>11001</catValu>
    <labl>Australian Alps montane grasslands</labl>
  </catgry>
  <catgry>
    <catValu>11002</catValu>
    <labl>Central Range sub-alpine grasslands</labl>
  </catgry>
  <catgry>
    <catValu>11003</catValu>
    <labl>South Island montane grasslands</labl>
  </catgry>
  <catgry>
    <catValu>11101</catValu>
    <labl>Antipodes Subantarctic Islands tundra</labl>
  </catgry>
  <catgry>
    <catValu>11201</catValu>
    <labl>Coolgardie woodlands</labl>
  </catgry>
  <catgry>
    <catValu>11202</catValu>
    <labl>Esperance mallee</labl>
  </catgry>
  <catgry>
    <catValu>11203</catValu>
    <labl>Eyre and York mallee</labl>
  </catgry>
  <catgry>
    <catValu>11204</catValu>
    <labl>Jarrah-Karri forest and shrublands</labl>
  </catgry>
  <catgry>
    <catValu>11205</catValu>
    <labl>Swan Coastal Plain Scrub and Woodlands</labl>
  </catgry>
  <catgry>
    <catValu>11206</catValu>
    <labl>Mount Lofty woodlands</labl>
  </catgry>
  <catgry>
    <catValu>11207</catValu>
    <labl>Murray-Darling woodlands and mallee</labl>
  </catgry>
  <catgry>
    <catValu>11208</catValu>
    <labl>Naracoorte woodlands</labl>
  </catgry>
  <catgry>
    <catValu>11209</catValu>
    <labl>Southwest Australia savanna</labl>
  </catgry>
  <catgry>
    <catValu>11210</catValu>
    <labl>Southwest Australia woodlands</labl>
  </catgry>
  <catgry>
    <catValu>11301</catValu>
    <labl>Carnarvon xeric shrublands</labl>
  </catgry>
  <catgry>
    <catValu>11302</catValu>
    <labl>Central Ranges xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>11303</catValu>
    <labl>Gibson desert</labl>
  </catgry>
  <catgry>
    <catValu>11304</catValu>
    <labl>Great Sandy-Tanami desert</labl>
  </catgry>
  <catgry>
    <catValu>11305</catValu>
    <labl>Great Victoria desert</labl>
  </catgry>
  <catgry>
    <catValu>11306</catValu>
    <labl>Nullarbor Plains xeric shrublands</labl>
  </catgry>
  <catgry>
    <catValu>11307</catValu>
    <labl>Pilbara shrublands</labl>
  </catgry>
  <catgry>
    <catValu>11308</catValu>
    <labl>Simpson desert</labl>
  </catgry>
  <catgry>
    <catValu>11309</catValu>
    <labl>Tirari-Sturt stony desert</labl>
  </catgry>
  <catgry>
    <catValu>11310</catValu>
    <labl>Western Australian Mulga shrublands</labl>
  </catgry>
  <catgry>
    <catValu>11401</catValu>
    <labl>New Guinea mangroves</labl>
  </catgry>
  <catgry>
    <catValu>21101</catValu>
    <labl>Marielandia Antarctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>21102</catValu>
    <labl>Maudlandia Antarctic desert</labl>
  </catgry>
  <catgry>
    <catValu>21103</catValu>
    <labl>Scotia Sea Islands tundra</labl>
  </catgry>
  <catgry>
    <catValu>21104</catValu>
    <labl>Southern Indian Ocean Islands tundra</labl>
  </catgry>
  <catgry>
    <catValu>30101</catValu>
    <labl>Albertine Rift montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30102</catValu>
    <labl>Atlantic Equatorial coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>30103</catValu>
    <labl>Cameroonian Highlands forests</labl>
  </catgry>
  <catgry>
    <catValu>30104</catValu>
    <labl>Central Congolian lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30105</catValu>
    <labl>Comoros forests</labl>
  </catgry>
  <catgry>
    <catValu>30106</catValu>
    <labl>Cross-Niger transition forests</labl>
  </catgry>
  <catgry>
    <catValu>30107</catValu>
    <labl>Cross-Sanaga-Bioko coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>30108</catValu>
    <labl>East African montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30109</catValu>
    <labl>Eastern Arc forests</labl>
  </catgry>
  <catgry>
    <catValu>30110</catValu>
    <labl>Eastern Congolian swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>30111</catValu>
    <labl>Eastern Guinean forests</labl>
  </catgry>
  <catgry>
    <catValu>30112</catValu>
    <labl>Ethiopian montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30113</catValu>
    <labl>Granitic Seychelles forests</labl>
  </catgry>
  <catgry>
    <catValu>30114</catValu>
    <labl>Guinean montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30115</catValu>
    <labl>Knysna-Amatole montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30116</catValu>
    <labl>KwaZulu-Cape coastal forest mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30117</catValu>
    <labl>Madagascar lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30118</catValu>
    <labl>Madagascar subhumid forests</labl>
  </catgry>
  <catgry>
    <catValu>30119</catValu>
    <labl>Maputaland coastal forest mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30120</catValu>
    <labl>Mascarene forests</labl>
  </catgry>
  <catgry>
    <catValu>30121</catValu>
    <labl>Mount Cameroon and Bioko montane forests</labl>
  </catgry>
  <catgry>
    <catValu>30122</catValu>
    <labl>Niger Delta swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>30123</catValu>
    <labl>Nigerian lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30124</catValu>
    <labl>Northeastern Congolian lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30125</catValu>
    <labl>Northern Zanzibar-Inhambane coastal forest mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30126</catValu>
    <labl>Northwestern Congolian lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30127</catValu>
    <labl>Sao Tome, Principe and Annobon moist lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30128</catValu>
    <labl>Southern Zanzibar-Inhambane coastal forest mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30129</catValu>
    <labl>Western Congolian swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>30130</catValu>
    <labl>Western Guinean lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>30201</catValu>
    <labl>Cape Verde Islands dry forests</labl>
  </catgry>
  <catgry>
    <catValu>30202</catValu>
    <labl>Madagascar dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>30203</catValu>
    <labl>Zambezian Cryptosepalum dry forests</labl>
  </catgry>
  <catgry>
    <catValu>30701</catValu>
    <labl>Angolan Miombo woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30702</catValu>
    <labl>Angolan Mopane woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30703</catValu>
    <labl>Ascension scrub and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30704</catValu>
    <labl>Central Zambezian Miombo woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30705</catValu>
    <labl>East Sudanian savanna</labl>
  </catgry>
  <catgry>
    <catValu>30706</catValu>
    <labl>Eastern Miombo woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30707</catValu>
    <labl>Guinean forest-savanna mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30708</catValu>
    <labl>Itigi-Sumbu thicket</labl>
  </catgry>
  <catgry>
    <catValu>30709</catValu>
    <labl>Kalahari Acacia-Baikiaea woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30710</catValu>
    <labl>Mandara Plateau mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30711</catValu>
    <labl>Northern Acacia-Commiphora bushlands and thickets</labl>
  </catgry>
  <catgry>
    <catValu>30712</catValu>
    <labl>Northern Congolian forest-savanna mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30713</catValu>
    <labl>Sahelian Acacia savanna</labl>
  </catgry>
  <catgry>
    <catValu>30714</catValu>
    <labl>Serengeti volcanic grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30715</catValu>
    <labl>Somali Acacia-Commiphora bushlands and thickets</labl>
  </catgry>
  <catgry>
    <catValu>30716</catValu>
    <labl>Southern Acacia-Commiphora bushlands and thickets</labl>
  </catgry>
  <catgry>
    <catValu>30717</catValu>
    <labl>Southern Africa bushveld</labl>
  </catgry>
  <catgry>
    <catValu>30718</catValu>
    <labl>Southern Congolian forest-savanna mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30719</catValu>
    <labl>Southern Miombo woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30720</catValu>
    <labl>St. Helena scrub and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30721</catValu>
    <labl>Victoria Basin forest-savanna mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30722</catValu>
    <labl>West Sudanian savanna</labl>
  </catgry>
  <catgry>
    <catValu>30723</catValu>
    <labl>Western Congolian forest-savanna mosaic</labl>
  </catgry>
  <catgry>
    <catValu>30724</catValu>
    <labl>Western Zambezian grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30725</catValu>
    <labl>Zambezian and Mopane woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30726</catValu>
    <labl>Zambezian Baikiaea woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30801</catValu>
    <labl>Al Hajar montane woodlands</labl>
  </catgry>
  <catgry>
    <catValu>30802</catValu>
    <labl>Amsterdam and Saint-Paul Islands temperate grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30803</catValu>
    <labl>Tristan Da Cunha-Gough Islands shrub and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30901</catValu>
    <labl>East African halophytics</labl>
  </catgry>
  <catgry>
    <catValu>30902</catValu>
    <labl>Etosha Pan halophytics</labl>
  </catgry>
  <catgry>
    <catValu>30903</catValu>
    <labl>Inner Niger Delta flooded savanna</labl>
  </catgry>
  <catgry>
    <catValu>30904</catValu>
    <labl>Lake Chad flooded savanna</labl>
  </catgry>
  <catgry>
    <catValu>30905</catValu>
    <labl>Saharan flooded grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30906</catValu>
    <labl>Zambezian coastal flooded savanna</labl>
  </catgry>
  <catgry>
    <catValu>30907</catValu>
    <labl>Zambezian flooded grasslands</labl>
  </catgry>
  <catgry>
    <catValu>30908</catValu>
    <labl>Zambezian halophytics</labl>
  </catgry>
  <catgry>
    <catValu>31001</catValu>
    <labl>Angolan montane forest-grassland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>31002</catValu>
    <labl>Angolan scarp savanna and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31003</catValu>
    <labl>Drakensberg alti-montane grasslands and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31004</catValu>
    <labl>Drakensberg montane grasslands, woodlands and forests</labl>
  </catgry>
  <catgry>
    <catValu>31005</catValu>
    <labl>East African montane moorlands</labl>
  </catgry>
  <catgry>
    <catValu>31006</catValu>
    <labl>Eastern Zimbabwe montane forest-grassland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>31007</catValu>
    <labl>Ethiopian montane grasslands and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31008</catValu>
    <labl>Ethiopian montane moorlands</labl>
  </catgry>
  <catgry>
    <catValu>31009</catValu>
    <labl>Highveld grasslands</labl>
  </catgry>
  <catgry>
    <catValu>31010</catValu>
    <labl>Jos Plateau forest-grassland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>31011</catValu>
    <labl>Madagascar ericoid thickets</labl>
  </catgry>
  <catgry>
    <catValu>31012</catValu>
    <labl>Maputaland-Pondoland bushland and thickets</labl>
  </catgry>
  <catgry>
    <catValu>31013</catValu>
    <labl>Rwenzori-Virunga montane moorlands</labl>
  </catgry>
  <catgry>
    <catValu>31014</catValu>
    <labl>South Malawi montane forest-grassland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>31015</catValu>
    <labl>Southern Rift montane forest-grassland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>31201</catValu>
    <labl>Albany thickets</labl>
  </catgry>
  <catgry>
    <catValu>31202</catValu>
    <labl>Lowland fynbos and renosterveld</labl>
  </catgry>
  <catgry>
    <catValu>31203</catValu>
    <labl>Montane fynbos and renosterveld</labl>
  </catgry>
  <catgry>
    <catValu>31301</catValu>
    <labl>Aldabra Island xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>31302</catValu>
    <labl>Arabian Peninsula coastal fog desert</labl>
  </catgry>
  <catgry>
    <catValu>31303</catValu>
    <labl>East Saharan montane xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31304</catValu>
    <labl>Eritrean coastal desert</labl>
  </catgry>
  <catgry>
    <catValu>31305</catValu>
    <labl>Ethiopian xeric grasslands and shrublands</labl>
  </catgry>
  <catgry>
    <catValu>31306</catValu>
    <labl>Gulf of Oman desert and semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>31307</catValu>
    <labl>Hobyo grasslands and shrublands</labl>
  </catgry>
  <catgry>
    <catValu>31308</catValu>
    <labl>Ile Europa and Bassas da India xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>31309</catValu>
    <labl>Kalahari xeric savanna</labl>
  </catgry>
  <catgry>
    <catValu>31310</catValu>
    <labl>Kaokoveld desert</labl>
  </catgry>
  <catgry>
    <catValu>31311</catValu>
    <labl>Madagascar spiny thickets</labl>
  </catgry>
  <catgry>
    <catValu>31312</catValu>
    <labl>Madagascar succulent woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31313</catValu>
    <labl>Masai xeric grasslands and shrublands</labl>
  </catgry>
  <catgry>
    <catValu>31314</catValu>
    <labl>Nama Karoo</labl>
  </catgry>
  <catgry>
    <catValu>31315</catValu>
    <labl>Namib desert</labl>
  </catgry>
  <catgry>
    <catValu>31316</catValu>
    <labl>Namibian savanna woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31318</catValu>
    <labl>Socotra Island xeric shrublands</labl>
  </catgry>
  <catgry>
    <catValu>31319</catValu>
    <labl>Somali montane xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31320</catValu>
    <labl>Southwestern Arabian foothills savanna</labl>
  </catgry>
  <catgry>
    <catValu>31321</catValu>
    <labl>Southwestern Arabian montane woodlands</labl>
  </catgry>
  <catgry>
    <catValu>31322</catValu>
    <labl>Succulent Karoo</labl>
  </catgry>
  <catgry>
    <catValu>31401</catValu>
    <labl>Central African mangroves</labl>
  </catgry>
  <catgry>
    <catValu>31402</catValu>
    <labl>East African mangroves</labl>
  </catgry>
  <catgry>
    <catValu>31403</catValu>
    <labl>Guinean mangroves</labl>
  </catgry>
  <catgry>
    <catValu>31404</catValu>
    <labl>Madagascar mangroves</labl>
  </catgry>
  <catgry>
    <catValu>31405</catValu>
    <labl>Southern Africa mangroves</labl>
  </catgry>
  <catgry>
    <catValu>40101</catValu>
    <labl>Andaman Islands rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40102</catValu>
    <labl>Borneo lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40103</catValu>
    <labl>Borneo montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40104</catValu>
    <labl>Borneo peat swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40105</catValu>
    <labl>Brahmaputra Valley semi-evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40106</catValu>
    <labl>Cardamom Mountains rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40107</catValu>
    <labl>Chao Phraya freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40108</catValu>
    <labl>Chao Phraya lowland moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40109</catValu>
    <labl>Chin Hills-Arakan Yoma montane forests</labl>
  </catgry>
  <catgry>
    <catValu>40110</catValu>
    <labl>Christmas and Cocos Islands tropical forests</labl>
  </catgry>
  <catgry>
    <catValu>40111</catValu>
    <labl>Eastern highlands moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40112</catValu>
    <labl>Eastern Java-Bali montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40113</catValu>
    <labl>Eastern Java-Bali rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40114</catValu>
    <labl>Greater Negros-Panay rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40115</catValu>
    <labl>Himalayan subtropical broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>40116</catValu>
    <labl>Irrawaddy freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40117</catValu>
    <labl>Irrawaddy moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40118</catValu>
    <labl>Jian Nan subtropical evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40119</catValu>
    <labl>Kayah-Karen montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40120</catValu>
    <labl>Lower Gangetic Plains moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40121</catValu>
    <labl>Luang Prabang montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40122</catValu>
    <labl>Luzon montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40123</catValu>
    <labl>Luzon rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40124</catValu>
    <labl>Malabar Coast moist forests</labl>
  </catgry>
  <catgry>
    <catValu>40125</catValu>
    <labl>Maldives-Lakshadweep-Chagos Archipelago tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>40126</catValu>
    <labl>Meghalaya subtropical forests</labl>
  </catgry>
  <catgry>
    <catValu>40127</catValu>
    <labl>Mentawai Islands rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40128</catValu>
    <labl>Mindanao montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40129</catValu>
    <labl>Mindanao-Eastern Visayas rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40130</catValu>
    <labl>Mindoro rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40131</catValu>
    <labl>Mizoram-Manipur-Kachin rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40132</catValu>
    <labl>Myanmar coastal rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40133</catValu>
    <labl>Nicobar Islands rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40134</catValu>
    <labl>North Western Ghats moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40135</catValu>
    <labl>North Western Ghats montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40136</catValu>
    <labl>Northern Annamites rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40137</catValu>
    <labl>Northern Indochina subtropical forests</labl>
  </catgry>
  <catgry>
    <catValu>40138</catValu>
    <labl>Northern Khorat Plateau moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40139</catValu>
    <labl>Northern Thailand-Laos moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40140</catValu>
    <labl>Northern Triangle subtropical forests</labl>
  </catgry>
  <catgry>
    <catValu>40141</catValu>
    <labl>Northern Vietnam lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40142</catValu>
    <labl>Orissa semi-evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40143</catValu>
    <labl>Palawan rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40144</catValu>
    <labl>Peninsular Malaysian montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40145</catValu>
    <labl>Peninsular Malaysian peat swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40146</catValu>
    <labl>Peninsular Malaysian rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40147</catValu>
    <labl>Red River freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40148</catValu>
    <labl>South China Sea Islands</labl>
  </catgry>
  <catgry>
    <catValu>40149</catValu>
    <labl>South China-Vietnam subtropical evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40150</catValu>
    <labl>South Western Ghats moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40151</catValu>
    <labl>South Western Ghats montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40152</catValu>
    <labl>Southern Annamites montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40153</catValu>
    <labl>Southwest Borneo freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40154</catValu>
    <labl>Sri Lanka lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40155</catValu>
    <labl>Sri Lanka montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40156</catValu>
    <labl>Sulu Archipelago rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40157</catValu>
    <labl>Sumatran freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40158</catValu>
    <labl>Sumatran lowland rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40159</catValu>
    <labl>Sumatran montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40160</catValu>
    <labl>Sumatran peat swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40161</catValu>
    <labl>Sundaland heath forests</labl>
  </catgry>
  <catgry>
    <catValu>40162</catValu>
    <labl>Sundarbans freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40163</catValu>
    <labl>Tenasserim-South Thailand semi-evergreen rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40164</catValu>
    <labl>Tonle Sap freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40165</catValu>
    <labl>Tonle Sap-Mekong peat swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>40166</catValu>
    <labl>Upper Gangetic Plains moist deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40167</catValu>
    <labl>Western Java montane rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40168</catValu>
    <labl>Western Java rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40169</catValu>
    <labl>Hainan Island monsoon rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40170</catValu>
    <labl>Nansei Islands subtropical evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40171</catValu>
    <labl>South Taiwan monsoon rain forests</labl>
  </catgry>
  <catgry>
    <catValu>40172</catValu>
    <labl>Taiwan subtropical evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40201</catValu>
    <labl>Central Deccan Plateau dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40202</catValu>
    <labl>Central Indochina dry forests</labl>
  </catgry>
  <catgry>
    <catValu>40203</catValu>
    <labl>Chhota-Nagpur dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40204</catValu>
    <labl>East Deccan dry-evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40205</catValu>
    <labl>Irrawaddy dry forests</labl>
  </catgry>
  <catgry>
    <catValu>40206</catValu>
    <labl>Khathiar-Gir dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40207</catValu>
    <labl>Narmada Valley dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40208</catValu>
    <labl>Northern dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40209</catValu>
    <labl>South Deccan Plateau dry deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>40210</catValu>
    <labl>Southeastern Indochina dry evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40211</catValu>
    <labl>Southern Vietnam lowland dry forests</labl>
  </catgry>
  <catgry>
    <catValu>40212</catValu>
    <labl>Sri Lanka dry-zone dry evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>40301</catValu>
    <labl>Himalayan subtropical pine forests</labl>
  </catgry>
  <catgry>
    <catValu>40302</catValu>
    <labl>Luzon tropical pine forests</labl>
  </catgry>
  <catgry>
    <catValu>40303</catValu>
    <labl>Northeast India-Myanmar pine forests</labl>
  </catgry>
  <catgry>
    <catValu>40304</catValu>
    <labl>Sumatran tropical pine forests</labl>
  </catgry>
  <catgry>
    <catValu>40401</catValu>
    <labl>Eastern Himalayan broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>40402</catValu>
    <labl>Northern Triangle temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>40403</catValu>
    <labl>Western Himalayan broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>40501</catValu>
    <labl>Eastern Himalayan subalpine conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>40502</catValu>
    <labl>Western Himalayan subalpine conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>40701</catValu>
    <labl>Terai-Duar savanna and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>40901</catValu>
    <labl>Rann of Kutch seasonal salt marsh</labl>
  </catgry>
  <catgry>
    <catValu>41001</catValu>
    <labl>Kinabalu montane alpine meadows</labl>
  </catgry>
  <catgry>
    <catValu>41301</catValu>
    <labl>Deccan thorn scrub forests</labl>
  </catgry>
  <catgry>
    <catValu>41302</catValu>
    <labl>Indus Valley desert</labl>
  </catgry>
  <catgry>
    <catValu>41303</catValu>
    <labl>Northwestern thorn scrub forests</labl>
  </catgry>
  <catgry>
    <catValu>41304</catValu>
    <labl>Thar desert</labl>
  </catgry>
  <catgry>
    <catValu>41401</catValu>
    <labl>Goadavari-Krishna mangroves</labl>
  </catgry>
  <catgry>
    <catValu>41402</catValu>
    <labl>Indochina mangroves</labl>
  </catgry>
  <catgry>
    <catValu>41403</catValu>
    <labl>Indus River Delta-Arabian Sea mangroves</labl>
  </catgry>
  <catgry>
    <catValu>41404</catValu>
    <labl>Myanmar Coast mangroves</labl>
  </catgry>
  <catgry>
    <catValu>41405</catValu>
    <labl>Sunda Shelf mangroves</labl>
  </catgry>
  <catgry>
    <catValu>41406</catValu>
    <labl>Sundarbans mangroves</labl>
  </catgry>
  <catgry>
    <catValu>50201</catValu>
    <labl>Sonoran-Sinaloan transition subtropical dry forest</labl>
  </catgry>
  <catgry>
    <catValu>50301</catValu>
    <labl>Bermuda subtropical conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>50302</catValu>
    <labl>Sierra Madre Occidental pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>50303</catValu>
    <labl>Sierra Madre Oriental pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>50401</catValu>
    <labl>Allegheny Highlands forests</labl>
  </catgry>
  <catgry>
    <catValu>50402</catValu>
    <labl>Appalachian mixed mesophytic forests</labl>
  </catgry>
  <catgry>
    <catValu>50403</catValu>
    <labl>Appalachian-Blue Ridge forests</labl>
  </catgry>
  <catgry>
    <catValu>50404</catValu>
    <labl>Central U.S. hardwood forests</labl>
  </catgry>
  <catgry>
    <catValu>50405</catValu>
    <labl>East Central Texas forests</labl>
  </catgry>
  <catgry>
    <catValu>50406</catValu>
    <labl>Eastern forest-boreal transition</labl>
  </catgry>
  <catgry>
    <catValu>50407</catValu>
    <labl>Eastern Great Lakes lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>50408</catValu>
    <labl>Gulf of St. Lawrence lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>50409</catValu>
    <labl>Mississippi lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>50410</catValu>
    <labl>New England-Acadian forests</labl>
  </catgry>
  <catgry>
    <catValu>50411</catValu>
    <labl>Northeastern coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50412</catValu>
    <labl>Ozark Mountain forests</labl>
  </catgry>
  <catgry>
    <catValu>50413</catValu>
    <labl>Southeastern mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>50414</catValu>
    <labl>Southern Great Lakes forests</labl>
  </catgry>
  <catgry>
    <catValu>50415</catValu>
    <labl>Upper Midwest forest-savanna transition</labl>
  </catgry>
  <catgry>
    <catValu>50416</catValu>
    <labl>Western Great Lakes forests</labl>
  </catgry>
  <catgry>
    <catValu>50417</catValu>
    <labl>Willamette Valley forests</labl>
  </catgry>
  <catgry>
    <catValu>50501</catValu>
    <labl>Alberta Mountain forests</labl>
  </catgry>
  <catgry>
    <catValu>50502</catValu>
    <labl>Alberta-British Columbia foothills forests</labl>
  </catgry>
  <catgry>
    <catValu>50503</catValu>
    <labl>Arizona Mountains forests</labl>
  </catgry>
  <catgry>
    <catValu>50504</catValu>
    <labl>Atlantic coastal pine barrens</labl>
  </catgry>
  <catgry>
    <catValu>50505</catValu>
    <labl>Blue Mountains forests</labl>
  </catgry>
  <catgry>
    <catValu>50506</catValu>
    <labl>British Columbia mainland coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50507</catValu>
    <labl>Cascade Mountains leeward forests</labl>
  </catgry>
  <catgry>
    <catValu>50508</catValu>
    <labl>Central and Southern Cascades forests</labl>
  </catgry>
  <catgry>
    <catValu>50509</catValu>
    <labl>Central British Columbia Mountain forests</labl>
  </catgry>
  <catgry>
    <catValu>50510</catValu>
    <labl>Central Pacific coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50511</catValu>
    <labl>Colorado Rockies forests</labl>
  </catgry>
  <catgry>
    <catValu>50512</catValu>
    <labl>Eastern Cascades forests</labl>
  </catgry>
  <catgry>
    <catValu>50513</catValu>
    <labl>Florida sand pine scrub</labl>
  </catgry>
  <catgry>
    <catValu>50514</catValu>
    <labl>Fraser Plateau and Basin complex</labl>
  </catgry>
  <catgry>
    <catValu>50515</catValu>
    <labl>Great Basin montane forests</labl>
  </catgry>
  <catgry>
    <catValu>50516</catValu>
    <labl>Klamath-Siskiyou forests</labl>
  </catgry>
  <catgry>
    <catValu>50517</catValu>
    <labl>Middle Atlantic coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50518</catValu>
    <labl>North Central Rockies forests</labl>
  </catgry>
  <catgry>
    <catValu>50519</catValu>
    <labl>Northern California coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50520</catValu>
    <labl>Northern Pacific coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>50521</catValu>
    <labl>Northern transitional alpine forests</labl>
  </catgry>
  <catgry>
    <catValu>50522</catValu>
    <labl>Okanagan dry forests</labl>
  </catgry>
  <catgry>
    <catValu>50523</catValu>
    <labl>Piney Woods forests</labl>
  </catgry>
  <catgry>
    <catValu>50524</catValu>
    <labl>Puget lowland forests</labl>
  </catgry>
  <catgry>
    <catValu>50525</catValu>
    <labl>Queen Charlotte Islands</labl>
  </catgry>
  <catgry>
    <catValu>50526</catValu>
    <labl>Sierra Juarez and San Pedro Martir pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>50527</catValu>
    <labl>Sierra Nevada forests</labl>
  </catgry>
  <catgry>
    <catValu>50528</catValu>
    <labl>South Central Rockies forests</labl>
  </catgry>
  <catgry>
    <catValu>50529</catValu>
    <labl>Southeastern conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>50530</catValu>
    <labl>Wasatch and Uinta montane forests</labl>
  </catgry>
  <catgry>
    <catValu>50601</catValu>
    <labl>Alaska Peninsula montane taiga</labl>
  </catgry>
  <catgry>
    <catValu>50602</catValu>
    <labl>Central Canadian Shield forests</labl>
  </catgry>
  <catgry>
    <catValu>50603</catValu>
    <labl>Cook Inlet taiga</labl>
  </catgry>
  <catgry>
    <catValu>50604</catValu>
    <labl>Copper Plateau taiga</labl>
  </catgry>
  <catgry>
    <catValu>50605</catValu>
    <labl>Eastern Canadian forests</labl>
  </catgry>
  <catgry>
    <catValu>50606</catValu>
    <labl>Eastern Canadian Shield taiga</labl>
  </catgry>
  <catgry>
    <catValu>50607</catValu>
    <labl>Interior Alaska-Yukon lowland taiga</labl>
  </catgry>
  <catgry>
    <catValu>50608</catValu>
    <labl>Mid-Continental Canadian forests</labl>
  </catgry>
  <catgry>
    <catValu>50609</catValu>
    <labl>Midwestern Canadian Shield forests</labl>
  </catgry>
  <catgry>
    <catValu>50610</catValu>
    <labl>Muskwa-Slave Lake forests</labl>
  </catgry>
  <catgry>
    <catValu>50611</catValu>
    <labl>Newfoundland Highland forests</labl>
  </catgry>
  <catgry>
    <catValu>50612</catValu>
    <labl>Northern Canadian Shield taiga</labl>
  </catgry>
  <catgry>
    <catValu>50613</catValu>
    <labl>Northern Cordillera forests</labl>
  </catgry>
  <catgry>
    <catValu>50614</catValu>
    <labl>Northwest Territories taiga</labl>
  </catgry>
  <catgry>
    <catValu>50615</catValu>
    <labl>South Avalon-Burin oceanic barrens</labl>
  </catgry>
  <catgry>
    <catValu>50616</catValu>
    <labl>Southern Hudson Bay taiga</labl>
  </catgry>
  <catgry>
    <catValu>50617</catValu>
    <labl>Yukon Interior dry forests</labl>
  </catgry>
  <catgry>
    <catValu>50701</catValu>
    <labl>Western Gulf coastal grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50801</catValu>
    <labl>California Central Valley grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50802</catValu>
    <labl>Canadian Aspen forests and parklands</labl>
  </catgry>
  <catgry>
    <catValu>50803</catValu>
    <labl>Central and Southern mixed grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50804</catValu>
    <labl>Central forest-grasslands transition</labl>
  </catgry>
  <catgry>
    <catValu>50805</catValu>
    <labl>Central tall grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50806</catValu>
    <labl>Edwards Plateau savanna</labl>
  </catgry>
  <catgry>
    <catValu>50807</catValu>
    <labl>Flint Hills tall grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50808</catValu>
    <labl>Montana Valley and Foothill grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50809</catValu>
    <labl>Nebraska Sand Hills mixed grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50810</catValu>
    <labl>Northern mixed grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50811</catValu>
    <labl>Northern short grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50812</catValu>
    <labl>Northern tall grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50813</catValu>
    <labl>Palouse grasslands</labl>
  </catgry>
  <catgry>
    <catValu>50814</catValu>
    <labl>Texas blackland prairies</labl>
  </catgry>
  <catgry>
    <catValu>50815</catValu>
    <labl>Western short grasslands</labl>
  </catgry>
  <catgry>
    <catValu>51101</catValu>
    <labl>Alaska-St. Elias Range tundra</labl>
  </catgry>
  <catgry>
    <catValu>51102</catValu>
    <labl>Aleutian Islands tundra</labl>
  </catgry>
  <catgry>
    <catValu>51103</catValu>
    <labl>Arctic coastal tundra</labl>
  </catgry>
  <catgry>
    <catValu>51104</catValu>
    <labl>Arctic foothills tundra</labl>
  </catgry>
  <catgry>
    <catValu>51105</catValu>
    <labl>Baffin coastal tundra</labl>
  </catgry>
  <catgry>
    <catValu>51106</catValu>
    <labl>Beringia lowland tundra</labl>
  </catgry>
  <catgry>
    <catValu>51107</catValu>
    <labl>Beringia upland tundra</labl>
  </catgry>
  <catgry>
    <catValu>51108</catValu>
    <labl>Brooks-British Range tundra</labl>
  </catgry>
  <catgry>
    <catValu>51109</catValu>
    <labl>Davis Highlands tundra</labl>
  </catgry>
  <catgry>
    <catValu>51110</catValu>
    <labl>High Arctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>51111</catValu>
    <labl>Interior Yukon-Alaska alpine tundra</labl>
  </catgry>
  <catgry>
    <catValu>51112</catValu>
    <labl>Kalaallit Nunaat high arctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>51113</catValu>
    <labl>Kalaallit Nunaat low arctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>51114</catValu>
    <labl>Low Arctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>51115</catValu>
    <labl>Middle Arctic tundra</labl>
  </catgry>
  <catgry>
    <catValu>51116</catValu>
    <labl>Ogilvie-MacKenzie alpine tundra</labl>
  </catgry>
  <catgry>
    <catValu>51117</catValu>
    <labl>Pacific Coastal Mountain icefields and tundra</labl>
  </catgry>
  <catgry>
    <catValu>51118</catValu>
    <labl>Torngat Mountain tundra</labl>
  </catgry>
  <catgry>
    <catValu>51201</catValu>
    <labl>California coastal sage and chaparral</labl>
  </catgry>
  <catgry>
    <catValu>51202</catValu>
    <labl>California interior chaparral and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>51203</catValu>
    <labl>California montane chaparral and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>51301</catValu>
    <labl>Baja California desert</labl>
  </catgry>
  <catgry>
    <catValu>51302</catValu>
    <labl>Central Mexican matorral</labl>
  </catgry>
  <catgry>
    <catValu>51303</catValu>
    <labl>Chihuahuan desert</labl>
  </catgry>
  <catgry>
    <catValu>51304</catValu>
    <labl>Colorado Plateau shrublands</labl>
  </catgry>
  <catgry>
    <catValu>51305</catValu>
    <labl>Great Basin shrub steppe</labl>
  </catgry>
  <catgry>
    <catValu>51306</catValu>
    <labl>Gulf of California xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>51307</catValu>
    <labl>Meseta Central matorral</labl>
  </catgry>
  <catgry>
    <catValu>51308</catValu>
    <labl>Mojave desert</labl>
  </catgry>
  <catgry>
    <catValu>51309</catValu>
    <labl>Snake-Columbia shrub steppe</labl>
  </catgry>
  <catgry>
    <catValu>51310</catValu>
    <labl>Sonoran desert</labl>
  </catgry>
  <catgry>
    <catValu>51311</catValu>
    <labl>Tamaulipan matorral</labl>
  </catgry>
  <catgry>
    <catValu>51312</catValu>
    <labl>Tamaulipan mezquital</labl>
  </catgry>
  <catgry>
    <catValu>51313</catValu>
    <labl>Wyoming Basin shrub steppe</labl>
  </catgry>
  <catgry>
    <catValu>60101</catValu>
    <labl>Araucaria moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60102</catValu>
    <labl>Atlantic Coast restingas</labl>
  </catgry>
  <catgry>
    <catValu>60103</catValu>
    <labl>Bahia coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>60104</catValu>
    <labl>Bahia interior forests</labl>
  </catgry>
  <catgry>
    <catValu>60105</catValu>
    <labl>Bolivian Yungas</labl>
  </catgry>
  <catgry>
    <catValu>60106</catValu>
    <labl>Caatinga Enclaves moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60107</catValu>
    <labl>Caqueta moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60108</catValu>
    <labl>Catatumbo moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60109</catValu>
    <labl>Cauca Valley montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60110</catValu>
    <labl>Cayos Miskitos-San Andrés and Providencia moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60111</catValu>
    <labl>Central American Atlantic moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60112</catValu>
    <labl>Central American montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60113</catValu>
    <labl>Chiapas montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60114</catValu>
    <labl>Chimalapas montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60115</catValu>
    <labl>Chocó-Darién moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60116</catValu>
    <labl>Cocos Island moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60117</catValu>
    <labl>Cordillera La Costa montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60118</catValu>
    <labl>Cordillera Oriental montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60119</catValu>
    <labl>Costa Rican seasonal moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60120</catValu>
    <labl>Cuban moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60121</catValu>
    <labl>Eastern Cordillera real montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60122</catValu>
    <labl>Eastern Panamanian montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60123</catValu>
    <labl>Fernando de Noronha-Atol das Rocas moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60124</catValu>
    <labl>Guianan Highlands moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60125</catValu>
    <labl>Guianan moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60126</catValu>
    <labl>Gurupa varzeá</labl>
  </catgry>
  <catgry>
    <catValu>60127</catValu>
    <labl>Hispaniolan moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60128</catValu>
    <labl>Iquitos varzeá</labl>
  </catgry>
  <catgry>
    <catValu>60129</catValu>
    <labl>Isthmian-Atlantic moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60130</catValu>
    <labl>Isthmian-Pacific moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60131</catValu>
    <labl>Jamaican moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60132</catValu>
    <labl>Japurá-Solimoes-Negro moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60133</catValu>
    <labl>Juruá-Purus moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60134</catValu>
    <labl>Leeward Islands moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60135</catValu>
    <labl>Madeira-Tapajós moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60136</catValu>
    <labl>Magdalena Valley montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60137</catValu>
    <labl>Magdalena-Urabá moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60138</catValu>
    <labl>Marajó varzeá</labl>
  </catgry>
  <catgry>
    <catValu>60139</catValu>
    <labl>Maranhão Babaçu forests</labl>
  </catgry>
  <catgry>
    <catValu>60140</catValu>
    <labl>Mato Grosso seasonal forests</labl>
  </catgry>
  <catgry>
    <catValu>60141</catValu>
    <labl>Monte Alegre varzeá</labl>
  </catgry>
  <catgry>
    <catValu>60142</catValu>
    <labl>Napo moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60143</catValu>
    <labl>Negro-Branco moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60144</catValu>
    <labl>Northeastern Brazil restingas</labl>
  </catgry>
  <catgry>
    <catValu>60145</catValu>
    <labl>Northwestern Andean montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60146</catValu>
    <labl>Oaxacan montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60147</catValu>
    <labl>Orinoco Delta swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>60148</catValu>
    <labl>Pantanos de Centla</labl>
  </catgry>
  <catgry>
    <catValu>60149</catValu>
    <labl>Guianan freshwater swamp forests</labl>
  </catgry>
  <catgry>
    <catValu>60150</catValu>
    <labl>Alto Paraná Atlantic forests</labl>
  </catgry>
  <catgry>
    <catValu>60151</catValu>
    <labl>Pernambuco coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>60152</catValu>
    <labl>Pernambuco interior forests</labl>
  </catgry>
  <catgry>
    <catValu>60153</catValu>
    <labl>Peruvian Yungas</labl>
  </catgry>
  <catgry>
    <catValu>60154</catValu>
    <labl>Petén-Veracruz moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60155</catValu>
    <labl>Puerto Rican moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60156</catValu>
    <labl>Purus varzeá</labl>
  </catgry>
  <catgry>
    <catValu>60157</catValu>
    <labl>Purus-Madeira moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60158</catValu>
    <labl>Rio Negro campinarana</labl>
  </catgry>
  <catgry>
    <catValu>60159</catValu>
    <labl>Santa Marta montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60160</catValu>
    <labl>Serra do Mar coastal forests</labl>
  </catgry>
  <catgry>
    <catValu>60161</catValu>
    <labl>Sierra de los Tuxtlas</labl>
  </catgry>
  <catgry>
    <catValu>60162</catValu>
    <labl>Sierra Madre de Chiapas moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60163</catValu>
    <labl>Solimões-Japurá moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60164</catValu>
    <labl>South Florida rocklands</labl>
  </catgry>
  <catgry>
    <catValu>60165</catValu>
    <labl>Southern Andean Yungas</labl>
  </catgry>
  <catgry>
    <catValu>60166</catValu>
    <labl>Southwest Amazon moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60167</catValu>
    <labl>Talamancan montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60168</catValu>
    <labl>Tapajós-Xingu moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60169</catValu>
    <labl>Pantepui</labl>
  </catgry>
  <catgry>
    <catValu>60170</catValu>
    <labl>Tocantins/Pindare moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60171</catValu>
    <labl>Trinidad and Tobago moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60172</catValu>
    <labl>Trindade-Martin Vaz Islands tropical forests</labl>
  </catgry>
  <catgry>
    <catValu>60173</catValu>
    <labl>Uatuma-Trombetas moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60174</catValu>
    <labl>Ucayali moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60175</catValu>
    <labl>Venezuelan Andes montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60176</catValu>
    <labl>Veracruz moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60177</catValu>
    <labl>Veracruz montane forests</labl>
  </catgry>
  <catgry>
    <catValu>60178</catValu>
    <labl>Western Ecuador moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60179</catValu>
    <labl>Windward Islands moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60180</catValu>
    <labl>Xingu-Tocantins-Araguaia moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60181</catValu>
    <labl>Yucatán moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60182</catValu>
    <labl>Guianan piedmont and lowland moist forests</labl>
  </catgry>
  <catgry>
    <catValu>60201</catValu>
    <labl>Apure-Villavicencio dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60202</catValu>
    <labl>Atlantic dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60204</catValu>
    <labl>Bajío dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60205</catValu>
    <labl>Balsas dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60206</catValu>
    <labl>Bolivian montane dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60207</catValu>
    <labl>Cauca Valley dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60209</catValu>
    <labl>Central American dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60210</catValu>
    <labl>Dry Chaco</labl>
  </catgry>
  <catgry>
    <catValu>60211</catValu>
    <labl>Chiapas Depression dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60212</catValu>
    <labl>Chiquitano dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60213</catValu>
    <labl>Cuban dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60214</catValu>
    <labl>Ecuadorian dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60215</catValu>
    <labl>Hispaniolan dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60216</catValu>
    <labl>Islas Revillagigedo dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60217</catValu>
    <labl>Jalisco dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60218</catValu>
    <labl>Jamaican dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60219</catValu>
    <labl>Lara-Falcón dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60220</catValu>
    <labl>Lesser Antillean dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60221</catValu>
    <labl>Magdalena Valley dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60222</catValu>
    <labl>Maracaibo dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60223</catValu>
    <labl>Marañón dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60224</catValu>
    <labl>Panamanian dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60225</catValu>
    <labl>Patía Valley dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60226</catValu>
    <labl>Puerto Rican dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60227</catValu>
    <labl>Sierra de la Laguna dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60228</catValu>
    <labl>Sinaloan dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60229</catValu>
    <labl>Sinú Valley dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60230</catValu>
    <labl>Southern Pacific dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60232</catValu>
    <labl>Tumbes-Piura dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60233</catValu>
    <labl>Veracruz dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60235</catValu>
    <labl>Yucatán dry forests</labl>
  </catgry>
  <catgry>
    <catValu>60301</catValu>
    <labl>Bahamian pine mosaic</labl>
  </catgry>
  <catgry>
    <catValu>60302</catValu>
    <labl>Belizian pine forests</labl>
  </catgry>
  <catgry>
    <catValu>60303</catValu>
    <labl>Central American pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>60304</catValu>
    <labl>Cuban pine forests</labl>
  </catgry>
  <catgry>
    <catValu>60305</catValu>
    <labl>Hispaniolan pine forests</labl>
  </catgry>
  <catgry>
    <catValu>60306</catValu>
    <labl>Miskito pine forests</labl>
  </catgry>
  <catgry>
    <catValu>60307</catValu>
    <labl>Sierra de la Laguna pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>60308</catValu>
    <labl>Sierra Madre de Oaxaca pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>60309</catValu>
    <labl>Sierra Madre del Sur pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>60310</catValu>
    <labl>Trans-Mexican Volcanic Belt pine-oak forests</labl>
  </catgry>
  <catgry>
    <catValu>60401</catValu>
    <labl>Juan Fernández Islands temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>60402</catValu>
    <labl>Magellanic subpolar forests</labl>
  </catgry>
  <catgry>
    <catValu>60403</catValu>
    <labl>San Félix-San Ambrosio Islands temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>60404</catValu>
    <labl>Valdivian temperate forests</labl>
  </catgry>
  <catgry>
    <catValu>60702</catValu>
    <labl>Beni savanna</labl>
  </catgry>
  <catgry>
    <catValu>60703</catValu>
    <labl>Campos Rupestres montane savanna</labl>
  </catgry>
  <catgry>
    <catValu>60704</catValu>
    <labl>Cerrado</labl>
  </catgry>
  <catgry>
    <catValu>60705</catValu>
    <labl>Clipperton Island shrub and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>60707</catValu>
    <labl>Guianan savanna</labl>
  </catgry>
  <catgry>
    <catValu>60708</catValu>
    <labl>Humid Chaco</labl>
  </catgry>
  <catgry>
    <catValu>60709</catValu>
    <labl>Llanos</labl>
  </catgry>
  <catgry>
    <catValu>60710</catValu>
    <labl>Uruguayan savanna</labl>
  </catgry>
  <catgry>
    <catValu>60801</catValu>
    <labl>Espinal</labl>
  </catgry>
  <catgry>
    <catValu>60802</catValu>
    <labl>Low Monte</labl>
  </catgry>
  <catgry>
    <catValu>60803</catValu>
    <labl>Humid Pampas</labl>
  </catgry>
  <catgry>
    <catValu>60805</catValu>
    <labl>Patagonian steppe</labl>
  </catgry>
  <catgry>
    <catValu>60902</catValu>
    <labl>Cuban wetlands</labl>
  </catgry>
  <catgry>
    <catValu>60903</catValu>
    <labl>Enriquillo wetlands</labl>
  </catgry>
  <catgry>
    <catValu>60904</catValu>
    <labl>Everglades</labl>
  </catgry>
  <catgry>
    <catValu>60905</catValu>
    <labl>Guayaquil flooded grasslands</labl>
  </catgry>
  <catgry>
    <catValu>60906</catValu>
    <labl>Orinoco wetlands</labl>
  </catgry>
  <catgry>
    <catValu>60907</catValu>
    <labl>Pantanal</labl>
  </catgry>
  <catgry>
    <catValu>60908</catValu>
    <labl>Paraná flooded savanna</labl>
  </catgry>
  <catgry>
    <catValu>60909</catValu>
    <labl>Southern Cone Mesopotamian savanna</labl>
  </catgry>
  <catgry>
    <catValu>61001</catValu>
    <labl>Central Andean dry puna</labl>
  </catgry>
  <catgry>
    <catValu>61002</catValu>
    <labl>Central Andean puna</labl>
  </catgry>
  <catgry>
    <catValu>61003</catValu>
    <labl>Central Andean wet puna</labl>
  </catgry>
  <catgry>
    <catValu>61004</catValu>
    <labl>Cordillera Central páramo</labl>
  </catgry>
  <catgry>
    <catValu>61005</catValu>
    <labl>Cordillera de Merida páramo</labl>
  </catgry>
  <catgry>
    <catValu>61006</catValu>
    <labl>Northern Andean páramo</labl>
  </catgry>
  <catgry>
    <catValu>61007</catValu>
    <labl>Santa Marta páramo</labl>
  </catgry>
  <catgry>
    <catValu>61008</catValu>
    <labl>Southern Andean steppe</labl>
  </catgry>
  <catgry>
    <catValu>61010</catValu>
    <labl>High Monte</labl>
  </catgry>
  <catgry>
    <catValu>61201</catValu>
    <labl>Chilean matorral</labl>
  </catgry>
  <catgry>
    <catValu>61301</catValu>
    <labl>Araya and Paria xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>61303</catValu>
    <labl>Atacama desert</labl>
  </catgry>
  <catgry>
    <catValu>61304</catValu>
    <labl>Caatinga</labl>
  </catgry>
  <catgry>
    <catValu>61305</catValu>
    <labl>Caribbean shrublands</labl>
  </catgry>
  <catgry>
    <catValu>61306</catValu>
    <labl>Cuban cactus scrub</labl>
  </catgry>
  <catgry>
    <catValu>61307</catValu>
    <labl>Galápagos Islands scrubland mosaic</labl>
  </catgry>
  <catgry>
    <catValu>61308</catValu>
    <labl>Guajira-Barranquilla xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>61309</catValu>
    <labl>La Costa xeric shrublands</labl>
  </catgry>
  <catgry>
    <catValu>61311</catValu>
    <labl>Malpelo Island xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>61312</catValu>
    <labl>Motagua Valley thornscrub</labl>
  </catgry>
  <catgry>
    <catValu>61313</catValu>
    <labl>Paraguana xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>61314</catValu>
    <labl>San Lucan xeric scrub</labl>
  </catgry>
  <catgry>
    <catValu>61315</catValu>
    <labl>Sechura desert</labl>
  </catgry>
  <catgry>
    <catValu>61316</catValu>
    <labl>Tehuacán Valley matorral</labl>
  </catgry>
  <catgry>
    <catValu>61318</catValu>
    <labl>St. Peter and St. Paul rocks</labl>
  </catgry>
  <catgry>
    <catValu>61401</catValu>
    <labl>Amazon-Orinoco-Southern Caribbean mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61402</catValu>
    <labl>Bahamian-Antillean mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61403</catValu>
    <labl>Mesoamerican Gulf-Caribbean mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61404</catValu>
    <labl>Northern Mesoamerican Pacific mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61405</catValu>
    <labl>South American Pacific mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61406</catValu>
    <labl>Southern Atlantic mangroves</labl>
  </catgry>
  <catgry>
    <catValu>61407</catValu>
    <labl>Southern Mesoamerican Pacific mangroves</labl>
  </catgry>
  <catgry>
    <catValu>70101</catValu>
    <labl>Carolines tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70102</catValu>
    <labl>Central Polynesian tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70103</catValu>
    <labl>Cook Islands tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70104</catValu>
    <labl>Eastern Micronesia tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70105</catValu>
    <labl>Fiji tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70106</catValu>
    <labl>Hawaii tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70107</catValu>
    <labl>Kermadec Islands subtropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70108</catValu>
    <labl>Marquesas tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70109</catValu>
    <labl>Ogasawara subtropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70110</catValu>
    <labl>Palau tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70111</catValu>
    <labl>Rapa Nui subtropical broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>70112</catValu>
    <labl>Samoan tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70113</catValu>
    <labl>Society Islands tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70114</catValu>
    <labl>Tongan tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70115</catValu>
    <labl>Tuamotu tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70116</catValu>
    <labl>Tubuai tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70117</catValu>
    <labl>Western Polynesian tropical moist forests</labl>
  </catgry>
  <catgry>
    <catValu>70201</catValu>
    <labl>Fiji tropical dry forests</labl>
  </catgry>
  <catgry>
    <catValu>70202</catValu>
    <labl>Hawaii tropical dry forests</labl>
  </catgry>
  <catgry>
    <catValu>70203</catValu>
    <labl>Marianas tropical dry forests</labl>
  </catgry>
  <catgry>
    <catValu>70204</catValu>
    <labl>Yap tropical dry forests</labl>
  </catgry>
  <catgry>
    <catValu>70701</catValu>
    <labl>Hawaii tropical high shrublands</labl>
  </catgry>
  <catgry>
    <catValu>70702</catValu>
    <labl>Hawaii tropical low shrublands</labl>
  </catgry>
  <catgry>
    <catValu>70703</catValu>
    <labl>Northwestern Hawaii scrub</labl>
  </catgry>
  <catgry>
    <catValu>80101</catValu>
    <labl>Guizhou Plateau broadleaf and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80102</catValu>
    <labl>Yunnan Plateau subtropical evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80401</catValu>
    <labl>Appenine deciduous montane forests</labl>
  </catgry>
  <catgry>
    <catValu>80402</catValu>
    <labl>Atlantic mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80403</catValu>
    <labl>Azores temperate mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80404</catValu>
    <labl>Balkan mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80405</catValu>
    <labl>Baltic mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80406</catValu>
    <labl>Cantabrian mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80407</catValu>
    <labl>Caspian Hyrcanian mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80408</catValu>
    <labl>Caucasus mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80409</catValu>
    <labl>Celtic broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>80410</catValu>
    <labl>Central Anatolian steppe and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>80411</catValu>
    <labl>Central China loess plateau mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80412</catValu>
    <labl>Central European mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80413</catValu>
    <labl>Central Korean deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80414</catValu>
    <labl>Changbai Mountains mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80415</catValu>
    <labl>Changjiang Plain evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80416</catValu>
    <labl>Crimean Submediterranean forest complex</labl>
  </catgry>
  <catgry>
    <catValu>80417</catValu>
    <labl>Daba Mountains evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80418</catValu>
    <labl>Dinaric Mountains mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80419</catValu>
    <labl>East European forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80420</catValu>
    <labl>Eastern Anatolian deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80421</catValu>
    <labl>English Lowlands beech forests</labl>
  </catgry>
  <catgry>
    <catValu>80422</catValu>
    <labl>Euxine-Colchic broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>80423</catValu>
    <labl>Hokkaido deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80424</catValu>
    <labl>Huang He Plain mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80425</catValu>
    <labl>Madeira evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80426</catValu>
    <labl>Manchurian mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80427</catValu>
    <labl>Nihonkai evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80428</catValu>
    <labl>Nihonkai montane deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80429</catValu>
    <labl>North Atlantic moist mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80430</catValu>
    <labl>Northeast China Plain deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80431</catValu>
    <labl>Pannonian mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80432</catValu>
    <labl>Po Basin mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80433</catValu>
    <labl>Pyrenees conifer and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80434</catValu>
    <labl>Qin Ling Mountains deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80435</catValu>
    <labl>Rodope montane mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80436</catValu>
    <labl>Sarmatic mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80437</catValu>
    <labl>Sichuan Basin evergreen broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>80438</catValu>
    <labl>South Sakhalin-Kurile mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80439</catValu>
    <labl>Southern Korea evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80440</catValu>
    <labl>Taiheiyo evergreen forests</labl>
  </catgry>
  <catgry>
    <catValu>80441</catValu>
    <labl>Taiheiyo montane deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80442</catValu>
    <labl>Tarim Basin deciduous forests and steppe</labl>
  </catgry>
  <catgry>
    <catValu>80443</catValu>
    <labl>Ussuri broadleaf and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80444</catValu>
    <labl>Western Siberian hemiboreal forests</labl>
  </catgry>
  <catgry>
    <catValu>80445</catValu>
    <labl>Western European broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>80446</catValu>
    <labl>Zagros Mountains forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80501</catValu>
    <labl>Alps conifer and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80502</catValu>
    <labl>Altai montane forest and forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80503</catValu>
    <labl>Caledon conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80504</catValu>
    <labl>Carpathian montane forests</labl>
  </catgry>
  <catgry>
    <catValu>80505</catValu>
    <labl>Da Hinggan-Dzhagdy Mountains conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80506</catValu>
    <labl>East Afghan montane conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80507</catValu>
    <labl>Elburz Range forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80508</catValu>
    <labl>Helanshan montane conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80509</catValu>
    <labl>Hengduan Mountains subalpine conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80510</catValu>
    <labl>Hokkaido montane conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80511</catValu>
    <labl>Honshu alpine conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80512</catValu>
    <labl>Khangai Mountains conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80513</catValu>
    <labl>Mediterranean conifer and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80514</catValu>
    <labl>Northeastern Himalayan subalpine conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80515</catValu>
    <labl>Northern Anatolian conifer and deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>80516</catValu>
    <labl>Nujiang Langcang Gorge alpine conifer and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>80517</catValu>
    <labl>Qilian Mountains conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80518</catValu>
    <labl>Qionglai-Minshan conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80519</catValu>
    <labl>Sayan montane conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80520</catValu>
    <labl>Scandinavian coastal conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80521</catValu>
    <labl>Tian Shan montane conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80601</catValu>
    <labl>East Siberian taiga</labl>
  </catgry>
  <catgry>
    <catValu>80602</catValu>
    <labl>Iceland boreal birch forests and alpine tundra</labl>
  </catgry>
  <catgry>
    <catValu>80603</catValu>
    <labl>Kamchatka-Kurile meadows and sparse forests</labl>
  </catgry>
  <catgry>
    <catValu>80604</catValu>
    <labl>Kamchatka-Kurile taiga</labl>
  </catgry>
  <catgry>
    <catValu>80605</catValu>
    <labl>Northeast Siberian taiga</labl>
  </catgry>
  <catgry>
    <catValu>80606</catValu>
    <labl>Okhotsk-Manchurian taiga</labl>
  </catgry>
  <catgry>
    <catValu>80607</catValu>
    <labl>Sakhalin Island taiga</labl>
  </catgry>
  <catgry>
    <catValu>80608</catValu>
    <labl>Scandinavian and Russian taiga</labl>
  </catgry>
  <catgry>
    <catValu>80609</catValu>
    <labl>Trans-Baikal conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>80610</catValu>
    <labl>Ural montane forests and tundra</labl>
  </catgry>
  <catgry>
    <catValu>80611</catValu>
    <labl>West Siberian taiga</labl>
  </catgry>
  <catgry>
    <catValu>80801</catValu>
    <labl>Alai-Western Tian Shan steppe</labl>
  </catgry>
  <catgry>
    <catValu>80802</catValu>
    <labl>Altai steppe and semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>80803</catValu>
    <labl>Central Anatolian steppe</labl>
  </catgry>
  <catgry>
    <catValu>80804</catValu>
    <labl>Daurian forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80805</catValu>
    <labl>Eastern Anatolian montane steppe</labl>
  </catgry>
  <catgry>
    <catValu>80806</catValu>
    <labl>Emin Valley steppe</labl>
  </catgry>
  <catgry>
    <catValu>80807</catValu>
    <labl>Faroe Islands boreal grasslands</labl>
  </catgry>
  <catgry>
    <catValu>80808</catValu>
    <labl>Gissaro-Alai open woodlands</labl>
  </catgry>
  <catgry>
    <catValu>80809</catValu>
    <labl>Kazakh forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80810</catValu>
    <labl>Kazakh steppe</labl>
  </catgry>
  <catgry>
    <catValu>80811</catValu>
    <labl>Kazakh upland</labl>
  </catgry>
  <catgry>
    <catValu>80812</catValu>
    <labl>Middle East steppe</labl>
  </catgry>
  <catgry>
    <catValu>80813</catValu>
    <labl>Mongolian-Manchurian grassland</labl>
  </catgry>
  <catgry>
    <catValu>80814</catValu>
    <labl>Pontic steppe</labl>
  </catgry>
  <catgry>
    <catValu>80815</catValu>
    <labl>Sayan Intermontane steppe</labl>
  </catgry>
  <catgry>
    <catValu>80816</catValu>
    <labl>Selenge-Orkhon forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80817</catValu>
    <labl>South Siberian forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>80818</catValu>
    <labl>Tian Shan foothill arid steppe</labl>
  </catgry>
  <catgry>
    <catValu>80901</catValu>
    <labl>Amur meadow steppe</labl>
  </catgry>
  <catgry>
    <catValu>80902</catValu>
    <labl>Bohai Sea saline meadow</labl>
  </catgry>
  <catgry>
    <catValu>80903</catValu>
    <labl>Nenjiang River grassland</labl>
  </catgry>
  <catgry>
    <catValu>80904</catValu>
    <labl>Nile Delta flooded savanna</labl>
  </catgry>
  <catgry>
    <catValu>80905</catValu>
    <labl>Saharan halophytics</labl>
  </catgry>
  <catgry>
    <catValu>80906</catValu>
    <labl>Tigris-Euphrates alluvial salt marsh</labl>
  </catgry>
  <catgry>
    <catValu>80907</catValu>
    <labl>Suiphun-Khanka meadows and forest meadows</labl>
  </catgry>
  <catgry>
    <catValu>80908</catValu>
    <labl>Yellow Sea saline meadow</labl>
  </catgry>
  <catgry>
    <catValu>81001</catValu>
    <labl>Altai alpine meadow and tundra</labl>
  </catgry>
  <catgry>
    <catValu>81002</catValu>
    <labl>Central Tibetan Plateau alpine steppe</labl>
  </catgry>
  <catgry>
    <catValu>81003</catValu>
    <labl>Eastern Himalayan alpine shrub and meadows</labl>
  </catgry>
  <catgry>
    <catValu>81004</catValu>
    <labl>Ghorat-Hazarajat alpine meadow</labl>
  </catgry>
  <catgry>
    <catValu>81005</catValu>
    <labl>Hindu Kush alpine meadow</labl>
  </catgry>
  <catgry>
    <catValu>81006</catValu>
    <labl>Karakoram-West Tibetan Plateau alpine steppe</labl>
  </catgry>
  <catgry>
    <catValu>81007</catValu>
    <labl>Khangai Mountains alpine meadow</labl>
  </catgry>
  <catgry>
    <catValu>81008</catValu>
    <labl>Kopet Dag woodlands and forest steppe</labl>
  </catgry>
  <catgry>
    <catValu>81009</catValu>
    <labl>Kuh Rud and Eastern Iran montane woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81010</catValu>
    <labl>Mediterranean High Atlas juniper steppe</labl>
  </catgry>
  <catgry>
    <catValu>81011</catValu>
    <labl>North Tibetan Plateau-Kunlun Mountains alpine desert</labl>
  </catgry>
  <catgry>
    <catValu>81012</catValu>
    <labl>Northwestern Himalayan alpine shrub and meadows</labl>
  </catgry>
  <catgry>
    <catValu>81013</catValu>
    <labl>Ordos Plateau steppe</labl>
  </catgry>
  <catgry>
    <catValu>81014</catValu>
    <labl>Pamir alpine desert and tundra</labl>
  </catgry>
  <catgry>
    <catValu>81015</catValu>
    <labl>Qilian Mountains subalpine meadows</labl>
  </catgry>
  <catgry>
    <catValu>81016</catValu>
    <labl>Sayan Alpine meadows and tundra</labl>
  </catgry>
  <catgry>
    <catValu>81017</catValu>
    <labl>Southeast Tibet shrublands and meadows</labl>
  </catgry>
  <catgry>
    <catValu>81018</catValu>
    <labl>Sulaiman Range alpine meadows</labl>
  </catgry>
  <catgry>
    <catValu>81019</catValu>
    <labl>Tian Shan montane steppe and meadows</labl>
  </catgry>
  <catgry>
    <catValu>81020</catValu>
    <labl>Tibetan Plateau alpine shrublands and meadows</labl>
  </catgry>
  <catgry>
    <catValu>81021</catValu>
    <labl>Western Himalayan alpine shrub and Meadows</labl>
  </catgry>
  <catgry>
    <catValu>81022</catValu>
    <labl>Yarlung Tsangpo arid steppe</labl>
  </catgry>
  <catgry>
    <catValu>81101</catValu>
    <labl>Arctic desert</labl>
  </catgry>
  <catgry>
    <catValu>81102</catValu>
    <labl>Bering tundra</labl>
  </catgry>
  <catgry>
    <catValu>81103</catValu>
    <labl>Cherskii-Kolyma mountain tundra</labl>
  </catgry>
  <catgry>
    <catValu>81104</catValu>
    <labl>Chukchi Peninsula tundra</labl>
  </catgry>
  <catgry>
    <catValu>81105</catValu>
    <labl>Kamchatka Mountain tundra and forest tundra</labl>
  </catgry>
  <catgry>
    <catValu>81106</catValu>
    <labl>Kola Peninsula tundra</labl>
  </catgry>
  <catgry>
    <catValu>81107</catValu>
    <labl>Northeast Siberian coastal tundra</labl>
  </catgry>
  <catgry>
    <catValu>81108</catValu>
    <labl>Northwest Russian-Novaya Zemlya tundra</labl>
  </catgry>
  <catgry>
    <catValu>81109</catValu>
    <labl>Novosibirsk Islands arctic desert</labl>
  </catgry>
  <catgry>
    <catValu>81110</catValu>
    <labl>Scandinavian Montane Birch forest and grasslands</labl>
  </catgry>
  <catgry>
    <catValu>81111</catValu>
    <labl>Taimyr-Central Siberian tundra</labl>
  </catgry>
  <catgry>
    <catValu>81112</catValu>
    <labl>Trans-Baikal Bald Mountain tundra</labl>
  </catgry>
  <catgry>
    <catValu>81113</catValu>
    <labl>Wrangel Island arctic desert</labl>
  </catgry>
  <catgry>
    <catValu>81114</catValu>
    <labl>Yamal-Gydan tundra</labl>
  </catgry>
  <catgry>
    <catValu>81201</catValu>
    <labl>Aegean and Western Turkey sclerophyllous and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81202</catValu>
    <labl>Anatolian conifer and deciduous mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81203</catValu>
    <labl>Canary Islands dry woodlands and forests</labl>
  </catgry>
  <catgry>
    <catValu>81204</catValu>
    <labl>Corsican montane broadleaf and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81205</catValu>
    <labl>Crete Mediterranean forests</labl>
  </catgry>
  <catgry>
    <catValu>81206</catValu>
    <labl>Cyprus Mediterranean forests</labl>
  </catgry>
  <catgry>
    <catValu>81207</catValu>
    <labl>Eastern Mediterranean conifer-sclerophyllous-broadleaf forests</labl>
  </catgry>
  <catgry>
    <catValu>81208</catValu>
    <labl>Iberian conifer forests</labl>
  </catgry>
  <catgry>
    <catValu>81209</catValu>
    <labl>Iberian sclerophyllous and semi-deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>81210</catValu>
    <labl>Illyrian deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>81211</catValu>
    <labl>Italian sclerophyllous and semi-deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>81212</catValu>
    <labl>Mediterranean acacia-argania dry woodlands and succulent thickets</labl>
  </catgry>
  <catgry>
    <catValu>81213</catValu>
    <labl>Mediterranean dry woodlands and steppe</labl>
  </catgry>
  <catgry>
    <catValu>81214</catValu>
    <labl>Mediterranean woodlands and forests</labl>
  </catgry>
  <catgry>
    <catValu>81215</catValu>
    <labl>Northeastern Spain and Southern France Mediterranean forests</labl>
  </catgry>
  <catgry>
    <catValu>81216</catValu>
    <labl>Northwest Iberian montane forests</labl>
  </catgry>
  <catgry>
    <catValu>81217</catValu>
    <labl>Pindus Mountains mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81218</catValu>
    <labl>South Appenine mixed montane forests</labl>
  </catgry>
  <catgry>
    <catValu>81219</catValu>
    <labl>Southeastern Iberian shrubs and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81220</catValu>
    <labl>Southern Anatolian montane conifer and deciduous forests</labl>
  </catgry>
  <catgry>
    <catValu>81221</catValu>
    <labl>Southwest Iberian Mediterranean sclerophyllous and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81222</catValu>
    <labl>Tyrrhenian-Adriatic Sclerophyllous and mixed forests</labl>
  </catgry>
  <catgry>
    <catValu>81301</catValu>
    <labl>Afghan Mountains semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81302</catValu>
    <labl>Alashan Plateau semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81303</catValu>
    <labl>Arabian Desert and East Sahero-Arabian xeric shrublands</labl>
  </catgry>
  <catgry>
    <catValu>81304</catValu>
    <labl>Atlantic coastal desert</labl>
  </catgry>
  <catgry>
    <catValu>81305</catValu>
    <labl>Azerbaijan shrub desert and steppe</labl>
  </catgry>
  <catgry>
    <catValu>81306</catValu>
    <labl>Badghyz and Karabil semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81307</catValu>
    <labl>Baluchistan xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81308</catValu>
    <labl>Caspian lowland desert</labl>
  </catgry>
  <catgry>
    <catValu>81309</catValu>
    <labl>Central Afghan Mountains xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81310</catValu>
    <labl>Central Asian northern desert</labl>
  </catgry>
  <catgry>
    <catValu>81311</catValu>
    <labl>Central Asian riparian woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81312</catValu>
    <labl>Central Asian southern desert</labl>
  </catgry>
  <catgry>
    <catValu>81313</catValu>
    <labl>Central Persian desert basins</labl>
  </catgry>
  <catgry>
    <catValu>81314</catValu>
    <labl>Eastern Gobi desert steppe</labl>
  </catgry>
  <catgry>
    <catValu>81315</catValu>
    <labl>Gobi Lakes Valley desert steppe</labl>
  </catgry>
  <catgry>
    <catValu>81316</catValu>
    <labl>Great Lakes Basin desert steppe</labl>
  </catgry>
  <catgry>
    <catValu>81317</catValu>
    <labl>Junggar Basin semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81318</catValu>
    <labl>Kazakh semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81319</catValu>
    <labl>Kopet Dag semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81320</catValu>
    <labl>Mesopotamian shrub desert</labl>
  </catgry>
  <catgry>
    <catValu>81321</catValu>
    <labl>North Saharan steppe and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81322</catValu>
    <labl>Paropamisus xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81323</catValu>
    <labl>Persian Gulf desert and semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81324</catValu>
    <labl>Qaidam Basin semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81325</catValu>
    <labl>Red Sea Nubo-Sindian tropical desert and semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81326</catValu>
    <labl>Registan-North Pakistan sandy desert</labl>
  </catgry>
  <catgry>
    <catValu>81327</catValu>
    <labl>Sahara desert</labl>
  </catgry>
  <catgry>
    <catValu>81328</catValu>
    <labl>South Iran Nubo-Sindian desert and semi-desert</labl>
  </catgry>
  <catgry>
    <catValu>81329</catValu>
    <labl>South Saharan steppe and woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81330</catValu>
    <labl>Taklimakan desert</labl>
  </catgry>
  <catgry>
    <catValu>81331</catValu>
    <labl>Tibesti-Jebel Uweinat montane xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81332</catValu>
    <labl>West Saharan montane xeric woodlands</labl>
  </catgry>
  <catgry>
    <catValu>81333</catValu>
    <labl>Red Sea coastal desert</labl>
  </catgry>
  <txt>ECOREGION reports the predominant terrestrial ecoregion within a 5-kilometer circular buffer around each DHS cluster location. ECOREGION reports the biogeographic region (e.g., Afrotropic), the habitat type (e.g., tropical and subtropical grasslands, savannas, and shrublands), and the ecoregion (e.g., East Sudanian savanna) that are associated with each cluster location. ECOREGION is available for every IPUMS-DHS sample with GPS data.

There are 825 terrestrial ecoregions in the world. Ecoregions are relatively large units of land containing distinct assemblages of natural communities and species, with boundaries that approximate the original extent of natural communities prior to major land-use change. The 5-digit codes in ECOREGION (e.g., 30129) include a 1-digit realm code (with 8 possible values), followed by a 2-digit biome code (with 14 possible values), and then a 2-digit ecoregion number. For the full list of codes and their meaning, see the ecoregion legend  [URL omitted from DDI.].

ECOREGION, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_LIVELIHOOD" name="H_LIVELIHOOD" files="H" intrvl="discrete">
  <labl>Livelihood zone of household</labl>
  <imputation>Livelihood zone of household</imputation>
  <security>Livelihood zone of household</security>
  <embargo>Livelihood zone of household</embargo>
  <respUnit>Livelihood zone of household</respUnit>
  <catgry>
    <catValu>-00998</catValu>
    <labl>Missing</labl>
  </catgry>
  <catgry>
    <catValu>004001</catValu>
    <labl>Eastern Pastoral and Forest Zone</labl>
  </catgry>
  <catgry>
    <catValu>004002</catValu>
    <labl>Eastern Agro-Pastoral and Forest Zone</labl>
  </catgry>
  <catgry>
    <catValu>004003</catValu>
    <labl>Eastern Agro-Pastoral and Rangeland Zone</labl>
  </catgry>
  <catgry>
    <catValu>004004</catValu>
    <labl>Eastern Semi-Arid Agricultural Zone</labl>
  </catgry>
  <catgry>
    <catValu>004005</catValu>
    <labl>Eastern Agricultural and Labor-Based Zone</labl>
  </catgry>
  <catgry>
    <catValu>004006</catValu>
    <labl>Eastern Intensively Irrigated Zone</labl>
  </catgry>
  <catgry>
    <catValu>004007</catValu>
    <labl>Eastern Cross-Border Trade and Labor-Based Zone</labl>
  </catgry>
  <catgry>
    <catValu>004008</catValu>
    <labl>Eastern Irrigated and Rainfed Agricultural Zone</labl>
  </catgry>
  <catgry>
    <catValu>004009</catValu>
    <labl>East-Central Irrigated Zone</labl>
  </catgry>
  <catgry>
    <catValu>004010</catValu>
    <labl>Southern Intensively Irrigated Cash Crop Zone</labl>
  </catgry>
  <catgry>
    <catValu>004011</catValu>
    <labl>Southern Semi-Arid Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004012</catValu>
    <labl>South-Central Agro-Pastoral and Labor-Based Zone</labl>
  </catgry>
  <catgry>
    <catValu>004013</catValu>
    <labl>Southern Desert Zone</labl>
  </catgry>
  <catgry>
    <catValu>004014</catValu>
    <labl>South-Central Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004015</catValu>
    <labl>North-Western Agro-Pastoral and Pistachio Zone</labl>
  </catgry>
  <catgry>
    <catValu>004016</catValu>
    <labl>Western Intensively Irrigated Zone</labl>
  </catgry>
  <catgry>
    <catValu>004017</catValu>
    <labl>Western Semi-Arid Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004018</catValu>
    <labl>West-Central Highland Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004019</catValu>
    <labl>Western and Southern Cross-Border Trade and Labor Zone</labl>
  </catgry>
  <catgry>
    <catValu>004020</catValu>
    <labl>North-Eastern Highland Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004021</catValu>
    <labl>Salangi Plains Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>004022</catValu>
    <labl>Northern Lowland Cereals and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>004023</catValu>
    <labl>Northern High Cereals Production Zone</labl>
  </catgry>
  <catgry>
    <catValu>004024</catValu>
    <labl>North-Central Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>004025</catValu>
    <labl>Northern Irrigated and Rainfed Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>004026</catValu>
    <labl>Northern Intensively Irrigated Agricultural Zone</labl>
  </catgry>
  <catgry>
    <catValu>004027</catValu>
    <labl>Amo River Irrigation and Cross-Border Trade Zone</labl>
  </catgry>
  <catgry>
    <catValu>004028</catValu>
    <labl>East-Central Agro-Forestry Zone</labl>
  </catgry>
  <catgry>
    <catValu>004029</catValu>
    <labl>Central Cash-Crop and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>024001</catValu>
    <labl>Coastal fishing, horticulture, and non-farm income</labl>
  </catgry>
  <catgry>
    <catValu>024002</catValu>
    <labl>Transitional banana and pineapple farming</labl>
  </catgry>
  <catgry>
    <catValu>024003</catValu>
    <labl>Southern livestock, millet, and sorghum</labl>
  </catgry>
  <catgry>
    <catValu>024004</catValu>
    <labl>Sub humid livestock and maize</labl>
  </catgry>
  <catgry>
    <catValu>024005</catValu>
    <labl>Mid-eastern cassava and savannah forest</labl>
  </catgry>
  <catgry>
    <catValu>024006</catValu>
    <labl>Central highlands potato and vegetables</labl>
  </catgry>
  <catgry>
    <catValu>024007</catValu>
    <labl>Central highlands maize and beans</labl>
  </catgry>
  <catgry>
    <catValu>024008</catValu>
    <labl>Transitional lowland maize, cassava, and beans</labl>
  </catgry>
  <catgry>
    <catValu>024009</catValu>
    <labl>Tropical forest, cassava, banana, and coffee</labl>
  </catgry>
  <catgry>
    <catValu>024010</catValu>
    <labl>Savannah forest and market-oriented cassava</labl>
  </catgry>
  <catgry>
    <catValu>024011</catValu>
    <labl>Savannah forest and subsistence cassava</labl>
  </catgry>
  <catgry>
    <catValu>024012</catValu>
    <labl>Fishing, cassava, and cross-border trade</labl>
  </catgry>
  <catgry>
    <catValu>024013</catValu>
    <labl>Coastal livestock ranching</labl>
  </catgry>
  <catgry>
    <catValu>108001</catValu>
    <labl>Buragane</labl>
  </catgry>
  <catgry>
    <catValu>108002</catValu>
    <labl>Congo Ridge Millet</labl>
  </catgry>
  <catgry>
    <catValu>108003</catValu>
    <labl>Eastern Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>108004</catValu>
    <labl>Northern Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>108005</catValu>
    <labl>Northern Highlands</labl>
  </catgry>
  <catgry>
    <catValu>108006</catValu>
    <labl>Southern Highlands</labl>
  </catgry>
  <catgry>
    <catValu>108007</catValu>
    <labl>Imbo Plain</labl>
  </catgry>
  <catgry>
    <catValu>108008</catValu>
    <labl>Humid Plateaus</labl>
  </catgry>
  <catgry>
    <catValu>108009</catValu>
    <labl>Eastern Arid Plateaus</labl>
  </catgry>
  <catgry>
    <catValu>140001</catValu>
    <labl>Southeast cassava, peanuts, and maize</labl>
  </catgry>
  <catgry>
    <catValu>140002</catValu>
    <labl>Northeast hunting and food crops</labl>
  </catgry>
  <catgry>
    <catValu>140003</catValu>
    <labl>Northern sorghum and millet</labl>
  </catgry>
  <catgry>
    <catValu>140004</catValu>
    <labl>East central mining, cassava, and peanuts</labl>
  </catgry>
  <catgry>
    <catValu>140005</catValu>
    <labl>Southern coffee, cassava, and maize</labl>
  </catgry>
  <catgry>
    <catValu>140006</catValu>
    <labl>Central cassava, peanuts, and maize</labl>
  </catgry>
  <catgry>
    <catValu>140007</catValu>
    <labl>Central cotton, cassava, and maize</labl>
  </catgry>
  <catgry>
    <catValu>140008</catValu>
    <labl>Northern cotton, cassava, and sorghum</labl>
  </catgry>
  <catgry>
    <catValu>140009</catValu>
    <labl>Western cassava, maize, and peanuts</labl>
  </catgry>
  <catgry>
    <catValu>140010</catValu>
    <labl>Southern maize, citrus fruits, and vegetables</labl>
  </catgry>
  <catgry>
    <catValu>140011</catValu>
    <labl>Southwest cassava, coffee, gathering, and mining</labl>
  </catgry>
  <catgry>
    <catValu>148001</catValu>
    <labl>Southern Staple and Cash Crops</labl>
  </catgry>
  <catgry>
    <catValu>148002</catValu>
    <labl>Southwest Rice</labl>
  </catgry>
  <catgry>
    <catValu>148003</catValu>
    <labl>South-central Cereals</labl>
  </catgry>
  <catgry>
    <catValu>148004</catValu>
    <labl>Southeast Flood Retreat and Gum Arabic</labl>
  </catgry>
  <catgry>
    <catValu>148005</catValu>
    <labl>Central Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>148006</catValu>
    <labl>Eastern Rainfed Cereals and Market Gardening</labl>
  </catgry>
  <catgry>
    <catValu>148007</catValu>
    <labl>Transhumance</labl>
  </catgry>
  <catgry>
    <catValu>148008</catValu>
    <labl>Western Agropastoral and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>148009</catValu>
    <labl>Northern Oasis Cultivation with Camels and Natron</labl>
  </catgry>
  <catgry>
    <catValu>180001</catValu>
    <labl>Copperbelt and Marginal Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180002</catValu>
    <labl>Savannah Manioc</labl>
  </catgry>
  <catgry>
    <catValu>180003</catValu>
    <labl>Savannah Surplus Maize</labl>
  </catgry>
  <catgry>
    <catValu>180004</catValu>
    <labl>Kamalondo Depression</labl>
  </catgry>
  <catgry>
    <catValu>180005</catValu>
    <labl>Southern Tanganyika-Mwero Fishing</labl>
  </catgry>
  <catgry>
    <catValu>180006</catValu>
    <labl>Maniema Savannah Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180007</catValu>
    <labl>High Food Production and Surplus Trade</labl>
  </catgry>
  <catgry>
    <catValu>180008</catValu>
    <labl>Northern Tanganyika Midland Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180009</catValu>
    <labl>Agropastoral Mountains</labl>
  </catgry>
  <catgry>
    <catValu>180010</catValu>
    <labl>Midland Agricultural Savannah</labl>
  </catgry>
  <catgry>
    <catValu>180011</catValu>
    <labl>Rutshuru Volcanic Soils and Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180012</catValu>
    <labl>Forest Cultivation and Products</labl>
  </catgry>
  <catgry>
    <catValu>180013</catValu>
    <labl>Artisanal Mining with Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180014</catValu>
    <labl>Northeast Highlands Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180015</catValu>
    <labl>Orientale Fishing with Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>180016</catValu>
    <labl>Northern Plateau Cassava, Maize, Groundnuts and Beans</labl>
  </catgry>
  <catgry>
    <catValu>180017</catValu>
    <labl>Bumba Rice and Tubers</labl>
  </catgry>
  <catgry>
    <catValu>180018</catValu>
    <labl>Bomongo and Makanza Districts Intensive Fishing</labl>
  </catgry>
  <catgry>
    <catValu>180019</catValu>
    <labl>Fishing and Staples Riverine</labl>
  </catgry>
  <catgry>
    <catValu>180020</catValu>
    <labl>Cuvette Centrale Staple Crops, Fishing and Charcoal</labl>
  </catgry>
  <catgry>
    <catValu>180021</catValu>
    <labl>Equatorial Forest, Hunting, Fishing and Staple Crops</labl>
  </catgry>
  <catgry>
    <catValu>180022</catValu>
    <labl>Lighter Forest with Rice and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>180023</catValu>
    <labl>Savannah with Cassava and Cowpeas and Small Livestock</labl>
  </catgry>
  <catgry>
    <catValu>180024</catValu>
    <labl>High Food Crop Production and Trading</labl>
  </catgry>
  <catgry>
    <catValu>180025</catValu>
    <labl>Intensive Artisanal Diamond Exploitation with Crop Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>180026</catValu>
    <labl>Clay Soils with High Production of Cassava and Maize, and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>180027</catValu>
    <labl>Agropastoral â€“ Staple Crops, Small Stock and Cattle and Wild Foods</labl>
  </catgry>
  <catgry>
    <catValu>180028</catValu>
    <labl>Agriculture with High Production and Marketing</labl>
  </catgry>
  <catgry>
    <catValu>180029</catValu>
    <labl>Cassava, Maize and Groundnuts</labl>
  </catgry>
  <catgry>
    <catValu>180030</catValu>
    <labl>Market Gardening and Staple Crops</labl>
  </catgry>
  <catgry>
    <catValu>180031</catValu>
    <labl>River Fishing and Staple Crops</labl>
  </catgry>
  <catgry>
    <catValu>180032</catValu>
    <labl>Coastal Ocean Fishing and Kitchen Gardening</labl>
  </catgry>
  <catgry>
    <catValu>180033</catValu>
    <labl>Forest â€“ Staple Crops, Cash Crops and Market Gardening</labl>
  </catgry>
  <catgry>
    <catValu>180034</catValu>
    <labl>Kinshasa Peri-urban</labl>
  </catgry>
  <catgry>
    <catValu>222001</catValu>
    <labl>Basic Grain and Labor Zone</labl>
  </catgry>
  <catgry>
    <catValu>222002</catValu>
    <labl>Coffee, Agro-Industrial and Labor Zone</labl>
  </catgry>
  <catgry>
    <catValu>222003</catValu>
    <labl>Sugarcane, Agro-Industry and Labor Zone</labl>
  </catgry>
  <catgry>
    <catValu>222004</catValu>
    <labl>Eastern Basic Grain, Labor, Livestock and Remittance Zone</labl>
  </catgry>
  <catgry>
    <catValu>222005</catValu>
    <labl>Central Free-Trade, Services and Industrial Labor Zone</labl>
  </catgry>
  <catgry>
    <catValu>222006</catValu>
    <labl>Fishing, Aquaculture and Tourism Zone</labl>
  </catgry>
  <catgry>
    <catValu>231001</catValu>
    <labl>Addis Ababa City</labl>
  </catgry>
  <catgry>
    <catValu>231002</catValu>
    <labl>Asale Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231003</catValu>
    <labl>Awsa-Gewane Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231004</catValu>
    <labl>Aramiss - Adaar Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231005</catValu>
    <labl>Asale Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231006</catValu>
    <labl>Chenno Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231007</catValu>
    <labl>Eli daar Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231008</catValu>
    <labl>Namalefan &amp; Baadu Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231009</catValu>
    <labl>Teru Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231010</catValu>
    <labl>Abay Beshilo River Basin</labl>
  </catgry>
  <catgry>
    <catValu>231011</catValu>
    <labl>Abay Tekeze Watershed</labl>
  </catgry>
  <catgry>
    <catValu>231012</catValu>
    <labl>Central Highland Barley &amp; Potato</labl>
  </catgry>
  <catgry>
    <catValu>231013</catValu>
    <labl>Cheffa valley</labl>
  </catgry>
  <catgry>
    <catValu>231014</catValu>
    <labl>Guna Highland</labl>
  </catgry>
  <catgry>
    <catValu>231015</catValu>
    <labl>Merhabete Lowland Sorghum and teff</labl>
  </catgry>
  <catgry>
    <catValu>231016</catValu>
    <labl>Minjar teff and livestock</labl>
  </catgry>
  <catgry>
    <catValu>231017</catValu>
    <labl>Minjar teff and sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231018</catValu>
    <labl>North Wollo Highland Belg</labl>
  </catgry>
  <catgry>
    <catValu>231019</catValu>
    <labl>North East Woyna Dega Mixed Cereal</labl>
  </catgry>
  <catgry>
    <catValu>231020</catValu>
    <labl>North Shewa highland sheep and barley</labl>
  </catgry>
  <catgry>
    <catValu>231021</catValu>
    <labl>North Shewa Highland Wheat and Teff productive</labl>
  </catgry>
  <catgry>
    <catValu>231022</catValu>
    <labl>N Highland wheat, Barley &amp; Sheep</labl>
  </catgry>
  <catgry>
    <catValu>231023</catValu>
    <labl>NorthWest Cash Crop</labl>
  </catgry>
  <catgry>
    <catValu>231024</catValu>
    <labl>North Wollo East Plain</labl>
  </catgry>
  <catgry>
    <catValu>231025</catValu>
    <labl>NorthWest Sorghum Belt</labl>
  </catgry>
  <catgry>
    <catValu>231026</catValu>
    <labl>South Wollo Meher</labl>
  </catgry>
  <catgry>
    <catValu>231027</catValu>
    <labl>South Wollo Belg</labl>
  </catgry>
  <catgry>
    <catValu>231028</catValu>
    <labl>South West Maize, Finger Millet and Teff productive</labl>
  </catgry>
  <catgry>
    <catValu>231029</catValu>
    <labl>South Wollo &amp; Oromia Eastern lowland sorghum &amp; cattle</labl>
  </catgry>
  <catgry>
    <catValu>231030</catValu>
    <labl>South East Woyna Dega Teff</labl>
  </catgry>
  <catgry>
    <catValu>231031</catValu>
    <labl>South West Woyna Dega wheat</labl>
  </catgry>
  <catgry>
    <catValu>231032</catValu>
    <labl>Tekeze Lowland Sorghum and Goats</labl>
  </catgry>
  <catgry>
    <catValu>231033</catValu>
    <labl>Tana Zuria</labl>
  </catgry>
  <catgry>
    <catValu>231034</catValu>
    <labl>South Wollo Meher and Belg</labl>
  </catgry>
  <catgry>
    <catValu>231035</catValu>
    <labl>Central Kolla Sorghum, Maize &amp; Millet</labl>
  </catgry>
  <catgry>
    <catValu>231036</catValu>
    <labl>Midland Teff &amp; Coffee</labl>
  </catgry>
  <catgry>
    <catValu>231037</catValu>
    <labl>Western Dry Kolla Sorghum, Maize &amp; Mining</labl>
  </catgry>
  <catgry>
    <catValu>231038</catValu>
    <labl>Meketel Highland Cereal &amp; Pulses</labl>
  </catgry>
  <catgry>
    <catValu>231039</catValu>
    <labl>Gambella Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231040</catValu>
    <labl>Gambella Coffee, Honey &amp; Cereal LZ</labl>
  </catgry>
  <catgry>
    <catValu>231041</catValu>
    <labl>Gambella Mixed Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>231042</catValu>
    <labl>No Data</labl>
  </catgry>
  <catgry>
    <catValu>231043</catValu>
    <labl>Arsi Bale Wheat, Barley &amp; Potato</labl>
  </catgry>
  <catgry>
    <catValu>231044</catValu>
    <labl>Anfilo Coffee Monoculture &amp; Honey</labl>
  </catgry>
  <catgry>
    <catValu>231045</catValu>
    <labl>Abe Dongoro-Diga-Sasiga Coffee &amp; Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231046</catValu>
    <labl>Adaba Dodola Community Forest</labl>
  </catgry>
  <catgry>
    <catValu>231047</catValu>
    <labl>Agarfa, Gasera, Ginir &amp; Gololcha Fruit, Coffee &amp; Chat</labl>
  </catgry>
  <catgry>
    <catValu>231048</catValu>
    <labl>Ambo Selale Ginderberet Teff &amp; Wheat</labl>
  </catgry>
  <catgry>
    <catValu>231049</catValu>
    <labl>Abijata Shala Jido Agro-Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231050</catValu>
    <labl>Abay Gorge Sesame, Maize &amp; Honey</labl>
  </catgry>
  <catgry>
    <catValu>231051</catValu>
    <labl>Ameya-Wolisso-Ambo Teff &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231052</catValu>
    <labl>Becho-Adea Teff &amp; Chickpea</labl>
  </catgry>
  <catgry>
    <catValu>231053</catValu>
    <labl>Borena-Guji Maize, Wheat &amp; Livestock</labl>
  </catgry>
  <catgry>
    <catValu>231054</catValu>
    <labl>Borena-Guji Coffee &amp; Enset</labl>
  </catgry>
  <catgry>
    <catValu>231055</catValu>
    <labl>Borena-Guji Cattle Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>231056</catValu>
    <labl>Bale Agro-Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231057</catValu>
    <labl>Bale Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>231058</catValu>
    <labl>Chercher &amp; Gololcha Chole Coffee, Maize &amp; Chat</labl>
  </catgry>
  <catgry>
    <catValu>231059</catValu>
    <labl>Central Horo Teff, Nug &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231060</catValu>
    <labl>Chebo-Inchini Enset, Barley &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231061</catValu>
    <labl>Chat &amp; Vegetables</labl>
  </catgry>
  <catgry>
    <catValu>231062</catValu>
    <labl>Dallo, Barbare &amp; Arana-Buluk Coffee</labl>
  </catgry>
  <catgry>
    <catValu>231063</catValu>
    <labl>Dale-Lalo Sorghum &amp; Maize</labl>
  </catgry>
  <catgry>
    <catValu>231064</catValu>
    <labl>Didessa-Gibe-Wama Valley Sorghum, Maize &amp; Oilcrops</labl>
  </catgry>
  <catgry>
    <catValu>231065</catValu>
    <labl>Ebantu-Limu Teff &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231066</catValu>
    <labl>Guduru-Amuru Maize, Teff &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231067</catValu>
    <labl>Guji-Borena Enset, Barley &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231068</catValu>
    <labl>Gerbo Enset &amp; Chat</labl>
  </catgry>
  <catgry>
    <catValu>231069</catValu>
    <labl>Gursum-Babile Groundnuts &amp; Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231070</catValu>
    <labl>Gera-Setema-Sale Forest Teff, Honey &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231071</catValu>
    <labl>Gibe Maize &amp; Peppers</labl>
  </catgry>
  <catgry>
    <catValu>231072</catValu>
    <labl>Goro-Ginir Spice &amp; Wheat</labl>
  </catgry>
  <catgry>
    <catValu>231073</catValu>
    <labl>Anger Maize, Sorghum &amp; Finger Millet</labl>
  </catgry>
  <catgry>
    <catValu>231074</catValu>
    <labl>Illu-Wellega-Birbir Maize, Peppers &amp; Sesame</labl>
  </catgry>
  <catgry>
    <catValu>231075</catValu>
    <labl>Jimma-Illubabur Coffee, Cereals &amp; Chat</labl>
  </catgry>
  <catgry>
    <catValu>231076</catValu>
    <labl>Jaldu-Dendi-Ilfata Barley &amp; Potato</labl>
  </catgry>
  <catgry>
    <catValu>231077</catValu>
    <labl>Jimma-Yama Logi Teff &amp; Maize</labl>
  </catgry>
  <catgry>
    <catValu>231078</catValu>
    <labl>Kofele Kokosa Enset &amp; Cattle Belt</labl>
  </catgry>
  <catgry>
    <catValu>231079</catValu>
    <labl>Muger-Abay-Jema Sorghum &amp; Teff Belt</labl>
  </catgry>
  <catgry>
    <catValu>231080</catValu>
    <labl>Melka Awash-Ochocha Mid-Highland Wheat &amp; Teff</labl>
  </catgry>
  <catgry>
    <catValu>231081</catValu>
    <labl>Moyale Agro-Pastoral, Labour &amp; Cross-Border Trade</labl>
  </catgry>
  <catgry>
    <catValu>231082</catValu>
    <labl>Moyale Cattle, Shoats &amp; Camel Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>231083</catValu>
    <labl>Market-Isolated Cattle &amp; Shoat Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>231084</catValu>
    <labl>Kereyu Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231085</catValu>
    <labl>Mendi-Dabisu Maize, Sesame &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231086</catValu>
    <labl>North-East Agro-Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231087</catValu>
    <labl>Nadda-Gilgel Gibe Maize, Teff and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231088</catValu>
    <labl>Nole-Meko-Diga Teff &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231089</catValu>
    <labl>Nejo-Dilla Teff, Finger Millet &amp; Nug</labl>
  </catgry>
  <catgry>
    <catValu>231090</catValu>
    <labl>Southern Agro-Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231091</catValu>
    <labl>Keto-Begi Cereals &amp; Cattle</labl>
  </catgry>
  <catgry>
    <catValu>231092</catValu>
    <labl>Robe Chole Sude &amp; Seru Teff Maize Haricot Bean Belt</labl>
  </catgry>
  <catgry>
    <catValu>231093</catValu>
    <labl>Rift Valley Maize &amp; Horse Bean</labl>
  </catgry>
  <catgry>
    <catValu>231094</catValu>
    <labl>Selale-Ambo Highland Barley, Wheat and Horsebean belt</labl>
  </catgry>
  <catgry>
    <catValu>231095</catValu>
    <labl>Soddo Highland Wheat, Barley &amp; Enset</labl>
  </catgry>
  <catgry>
    <catValu>231096</catValu>
    <labl>Siraro Kofele Potato &amp; Vegetables</labl>
  </catgry>
  <catgry>
    <catValu>231097</catValu>
    <labl>Sorghum, Maize &amp; Chat</labl>
  </catgry>
  <catgry>
    <catValu>231098</catValu>
    <labl>Shirka Ticho Spice &amp; Teff</labl>
  </catgry>
  <catgry>
    <catValu>231099</catValu>
    <labl>Wheat, Barley &amp; Potato</labl>
  </catgry>
  <catgry>
    <catValu>231100</catValu>
    <labl>Wellega-Dedo Highland Wheat &amp; Barley</labl>
  </catgry>
  <catgry>
    <catValu>231101</catValu>
    <labl>Wuchale-Abichu-Kembebit Livestock, 'Wild Oats' &amp; Barley/Wheat</labl>
  </catgry>
  <catgry>
    <catValu>231102</catValu>
    <labl>Wellega Coffee, Maize &amp; Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231103</catValu>
    <labl>Amaro Coffee and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231104</catValu>
    <labl>Awassa Chat and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231105</catValu>
    <labl>Alaba-Mareko Lowland Pepper LZ</labl>
  </catgry>
  <catgry>
    <catValu>231106</catValu>
    <labl>Badewacho-Alaba Maize LZ</labl>
  </catgry>
  <catgry>
    <catValu>231107</catValu>
    <labl>Bilate Basin Agro-Pastoral LZ</labl>
  </catgry>
  <catgry>
    <catValu>231108</catValu>
    <labl>Bench-Keffa Cereal and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231109</catValu>
    <labl>Basketo-Melo Coffee and Root Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231110</catValu>
    <labl>Dawro-Konta Maize and Root Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231111</catValu>
    <labl>Western Coffee and Spices LZ - Eastern sub-zone</labl>
  </catgry>
  <catgry>
    <catValu>231112</catValu>
    <labl>Gedeo Coffee LZ</labl>
  </catgry>
  <catgry>
    <catValu>231113</catValu>
    <labl>Gurage-Siltie Highland Enset and Barley LZ</labl>
  </catgry>
  <catgry>
    <catValu>231114</catValu>
    <labl>Gurage-Siltie Midland Enset and Chat LZ</labl>
  </catgry>
  <catgry>
    <catValu>231115</catValu>
    <labl>Gurage-Siltie Enset and Teff LZ</labl>
  </catgry>
  <catgry>
    <catValu>231116</catValu>
    <labl>Gamo Gofa Enset and Barley LZ</labl>
  </catgry>
  <catgry>
    <catValu>231117</catValu>
    <labl>Gurage Lowland Maize and Teff LZ</labl>
  </catgry>
  <catgry>
    <catValu>231118</catValu>
    <labl>Gamo Gofa Maize and Root Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231119</catValu>
    <labl>Hadero Ginger LZ</labl>
  </catgry>
  <catgry>
    <catValu>231120</catValu>
    <labl>Hadiya Maize LZ</labl>
  </catgry>
  <catgry>
    <catValu>231121</catValu>
    <labl>Hadiya-Kembata Cereal and Enset LZ - Hadiya sub zone</labl>
  </catgry>
  <catgry>
    <catValu>231122</catValu>
    <labl>Chamo-Abaya Irrigated Banana LZ</labl>
  </catgry>
  <catgry>
    <catValu>231123</catValu>
    <labl>Kedida-Badewacho Coffee LZ</labl>
  </catgry>
  <catgry>
    <catValu>231124</catValu>
    <labl>Hadiya-Kembata Cereal and Enset LZ - Kembata sub-zone</labl>
  </catgry>
  <catgry>
    <catValu>231125</catValu>
    <labl>Kaffa Cereal and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231126</catValu>
    <labl>Southern Special Woredas Lowland Cereal LZ</labl>
  </catgry>
  <catgry>
    <catValu>231127</catValu>
    <labl>Omo River Flood Recession LZ</labl>
  </catgry>
  <catgry>
    <catValu>231128</catValu>
    <labl>Omo Valley Maize and Sorghum LZ</labl>
  </catgry>
  <catgry>
    <catValu>231129</catValu>
  </catgry>
  <catgry>
    <catValu>231130</catValu>
    <labl>Southern Cereal, Enset and Root Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231131</catValu>
    <labl>Sidama Coffee LZ</labl>
  </catgry>
  <catgry>
    <catValu>231132</catValu>
    <labl>Surma Agro-Pastoral LZ</labl>
  </catgry>
  <catgry>
    <catValu>231133</catValu>
    <labl>Sidama-Gedeo Highland Enset and Barley LZ</labl>
  </catgry>
  <catgry>
    <catValu>231134</catValu>
    <labl>Sidama Maize Belt LZ</labl>
  </catgry>
  <catgry>
    <catValu>231135</catValu>
    <labl>Southern Agro-Pastoral Livelihood Zone</labl>
  </catgry>
  <catgry>
    <catValu>231136</catValu>
    <labl>South Omo Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231137</catValu>
    <labl>South Omo Pastoral LZ</labl>
  </catgry>
  <catgry>
    <catValu>231138</catValu>
    <labl>Salamago Pastoral LZ</labl>
  </catgry>
  <catgry>
    <catValu>231139</catValu>
    <labl>Sheka Cereal and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231140</catValu>
    <labl>Wolayita Ginger and Coffee LZ</labl>
  </catgry>
  <catgry>
    <catValu>231141</catValu>
    <labl>Western Coffee and Spices LZ - Western sub-zone</labl>
  </catgry>
  <catgry>
    <catValu>231142</catValu>
    <labl>Western Forest Products LZ</labl>
  </catgry>
  <catgry>
    <catValu>231143</catValu>
    <labl>Wolayita Maize and Root Crop LZ</labl>
  </catgry>
  <catgry>
    <catValu>231144</catValu>
    <labl>Wolayita Barley and Wheat LZ</labl>
  </catgry>
  <catgry>
    <catValu>231145</catValu>
    <labl>Yem Cereal and Enset LZ</labl>
  </catgry>
  <catgry>
    <catValu>231146</catValu>
    <labl>Afder Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231147</catValu>
    <labl>Degahbur Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231148</catValu>
    <labl>Dawa-Ganale Riverine</labl>
  </catgry>
  <catgry>
    <catValu>231149</catValu>
    <labl>Filtu-Dolo Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231150</catValu>
    <labl>Fik Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231151</catValu>
    <labl>Gode Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231152</catValu>
    <labl>Harshin-Degahbur East Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231153</catValu>
    <labl>Jijiga Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231154</catValu>
    <labl>Jijiga Sedentary Farming</labl>
  </catgry>
  <catgry>
    <catValu>231155</catValu>
    <labl>Korahe Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231156</catValu>
    <labl>Korahe-Gode Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231157</catValu>
    <labl>Liban Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231158</catValu>
    <labl>Lowland-Hawd Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231159</catValu>
    <labl>Moyale-Wayamo Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231160</catValu>
    <labl>No Data</labl>
  </catgry>
  <catgry>
    <catValu>231161</catValu>
    <labl>Shinile Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>231162</catValu>
    <labl>Shinile Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>231163</catValu>
    <labl>Shabelle Riverine</labl>
  </catgry>
  <catgry>
    <catValu>231164</catValu>
    <labl>Adiyabo Lowland</labl>
  </catgry>
  <catgry>
    <catValu>231165</catValu>
    <labl>Alaje Ofla Highland</labl>
  </catgry>
  <catgry>
    <catValu>231166</catValu>
    <labl>Atsbi Womberta Highland</labl>
  </catgry>
  <catgry>
    <catValu>231167</catValu>
    <labl>Central Mixed Crop</labl>
  </catgry>
  <catgry>
    <catValu>231168</catValu>
    <labl>Enderta Dry Midland</labl>
  </catgry>
  <catgry>
    <catValu>231169</catValu>
    <labl>Eastern Planteau</labl>
  </catgry>
  <catgry>
    <catValu>231170</catValu>
    <labl>Gesho and Wheat Highland</labl>
  </catgry>
  <catgry>
    <catValu>231171</catValu>
    <labl>Humera Sesame and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>231172</catValu>
    <labl>Irob Mountains</labl>
  </catgry>
  <catgry>
    <catValu>231173</catValu>
    <labl>Mereb Basin</labl>
  </catgry>
  <catgry>
    <catValu>231174</catValu>
    <labl>Middle Tekeze</labl>
  </catgry>
  <catgry>
    <catValu>231175</catValu>
    <labl>Raya Valley</labl>
  </catgry>
  <catgry>
    <catValu>231176</catValu>
    <labl>Tsirare Catchment</labl>
  </catgry>
  <catgry>
    <catValu>231177</catValu>
    <labl>West Central Teff</labl>
  </catgry>
  <catgry>
    <catValu>231178</catValu>
    <labl>Werie Catchment</labl>
  </catgry>
  <catgry>
    <catValu>231179</catValu>
    <labl>Western Cereal and Sesame</labl>
  </catgry>
  <catgry>
    <catValu>262001</catValu>
    <labl>Northwest Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>262002</catValu>
    <labl>Central Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>262003</catValu>
    <labl>Southeast Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>262004</catValu>
    <labl>Market Gardening</labl>
  </catgry>
  <catgry>
    <catValu>262005</catValu>
    <labl>Djibouti City</labl>
  </catgry>
  <catgry>
    <catValu>324001</catValu>
    <labl>Coastal: Rice, Fishing, Palm oil</labl>
  </catgry>
  <catgry>
    <catValu>324002</catValu>
    <labl>Piedmont: Rice, Groundnut, Horticulture</labl>
  </catgry>
  <catgry>
    <catValu>324003</catValu>
    <labl>Central plateau: Horticulture, Fonio, Livestock</labl>
  </catgry>
  <catgry>
    <catValu>324004</catValu>
    <labl>Mountain: Livestock, Fonio, Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>324005</catValu>
    <labl>Mountain : Rice, Livestock, Fonio</labl>
  </catgry>
  <catgry>
    <catValu>324006</catValu>
    <labl>Northern plateau: Rice, Groundnut, Livestock</labl>
  </catgry>
  <catgry>
    <catValu>324007</catValu>
    <labl>Savannah with shrubs: Rice, Gold mining, Livestock</labl>
  </catgry>
  <catgry>
    <catValu>324008</catValu>
    <labl>Northeast: Maize, Gold mining, Livestock</labl>
  </catgry>
  <catgry>
    <catValu>324009</catValu>
    <labl>Wooded savannah: Rice, Manioc, Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>324010</catValu>
    <labl>Pre-forest zone: Rice, Manioc, Livestock</labl>
  </catgry>
  <catgry>
    <catValu>324011</catValu>
    <labl>Forest: Rice, Palm oil, Coffee</labl>
  </catgry>
  <catgry>
    <catValu>332001</catValu>
    <labl>Dry Coastal Maize and Charcoal</labl>
  </catgry>
  <catgry>
    <catValu>332002</catValu>
    <labl>North Tubers and Horticulture</labl>
  </catgry>
  <catgry>
    <catValu>332003</catValu>
    <labl>Central Plateau Maize and Tubers</labl>
  </catgry>
  <catgry>
    <catValu>332004</catValu>
    <labl>Rice Plains of the Artibonite</labl>
  </catgry>
  <catgry>
    <catValu>332005</catValu>
    <labl>Western Banana Plains of Arcahaie</labl>
  </catgry>
  <catgry>
    <catValu>332006</catValu>
    <labl>West Gardening and Beans</labl>
  </catgry>
  <catgry>
    <catValu>332007</catValu>
    <labl>South Beans, Bananas, and Petty Trade</labl>
  </catgry>
  <catgry>
    <catValu>332008</catValu>
    <labl>Southwestern Coast Maize, Manioc, and Bush Products</labl>
  </catgry>
  <catgry>
    <catValu>332009</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>340000</catValu>
    <labl>Casco urbano</labl>
  </catgry>
  <catgry>
    <catValu>340001</catValu>
    <labl>Zona de medios de vida litoral GarÃ­funa y de turismo en islas de la BahÃ­a</labl>
  </catgry>
  <catgry>
    <catValu>340002</catValu>
    <labl>Zona litoral atlÃ¡ntica productora de aceite de palma</labl>
  </catgry>
  <catgry>
    <catValu>340003</catValu>
    <labl>Zona de venta de obra en maquilas, banano y caÃ±a de azÃºcar</labl>
  </catgry>
  <catgry>
    <catValu>340004</catValu>
    <labl>Zona Mosquitia de caza y pesca</labl>
  </catgry>
  <catgry>
    <catValu>340005</catValu>
    <labl>Zona montaÃ±osa de cafÃ©</labl>
  </catgry>
  <catgry>
    <catValu>340006</catValu>
    <labl>Zona de medios de vida pesquera y salinera del Golfo de Fonseca</labl>
  </catgry>
  <catgry>
    <catValu>340007</catValu>
    <labl>Zona de granos bÃ¡sicos de subsistencia y remesas</labl>
  </catgry>
  <catgry>
    <catValu>340008</catValu>
    <labl>Zona de venta de mano de obra en melÃ³n, sandÃ­a y camarÃ³n</labl>
  </catgry>
  <catgry>
    <catValu>340009</catValu>
    <labl>Zona de medios de vida, granos bÃ¡sicos y ganaderÃ­a</labl>
  </catgry>
  <catgry>
    <catValu>340010</catValu>
    <labl>Reserva del RÃ­o Platano</labl>
  </catgry>
  <catgry>
    <catValu>404001</catValu>
    <labl>Northwestern Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404002</catValu>
    <labl>Turkwell Riverine Zone</labl>
  </catgry>
  <catgry>
    <catValu>404003</catValu>
    <labl>Northwestern Agropastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404004</catValu>
    <labl>Lake Turkana Fishing</labl>
  </catgry>
  <catgry>
    <catValu>404005</catValu>
    <labl>Northern Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404006</catValu>
    <labl>Marsabit Marginal Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404007</catValu>
    <labl>Northeastern Agropastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404008</catValu>
    <labl>Mandera Riverine Zone</labl>
  </catgry>
  <catgry>
    <catValu>404009</catValu>
    <labl>Northeastern Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404010</catValu>
    <labl>Eastern Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404011</catValu>
    <labl>Southeastern Pastoral  Zone</labl>
  </catgry>
  <catgry>
    <catValu>404012</catValu>
    <labl>Coastal Medium Potential Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404013</catValu>
    <labl>Coastal Marginal Agricultural Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404014</catValu>
    <labl>Tana Riverine Zone</labl>
  </catgry>
  <catgry>
    <catValu>404015</catValu>
    <labl>Southern Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404016</catValu>
    <labl>Southeastern Marginal Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404017</catValu>
    <labl>Southeastern Medium Potential, Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404018</catValu>
    <labl>Southern Agropastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>404019</catValu>
    <labl>Central Highlands, High Potential Zone</labl>
  </catgry>
  <catgry>
    <catValu>404020</catValu>
    <labl>Western Medium Potential Zone</labl>
  </catgry>
  <catgry>
    <catValu>404021</catValu>
    <labl>Western High Potential Zone</labl>
  </catgry>
  <catgry>
    <catValu>404022</catValu>
    <labl>Western Lakeshore Marginal Mixed Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>404023</catValu>
    <labl>Lake Victoria Fishing Zone</labl>
  </catgry>
  <catgry>
    <catValu>404024</catValu>
    <labl>Western Agropastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>426001</catValu>
    <labl>Northern Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>426002</catValu>
    <labl>Southern Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>426003</catValu>
    <labl>Foothills</labl>
  </catgry>
  <catgry>
    <catValu>426004</catValu>
    <labl>Mountains</labl>
  </catgry>
  <catgry>
    <catValu>426005</catValu>
    <labl>Senqu River Valley</labl>
  </catgry>
  <catgry>
    <catValu>430001</catValu>
    <labl>North-East Rice Farming Palm Oil</labl>
  </catgry>
  <catgry>
    <catValu>430002</catValu>
    <labl>North/Central Rice with Cassava and Market Gardening</labl>
  </catgry>
  <catgry>
    <catValu>430003</catValu>
    <labl>South-East Rice with Cassava</labl>
  </catgry>
  <catgry>
    <catValu>430004</catValu>
    <labl>Coastal Plain Cassava with Rice and Inland Fishing</labl>
  </catgry>
  <catgry>
    <catValu>430005</catValu>
    <labl>Coastal Fishing and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>430006</catValu>
    <labl>Rice Intercropped and Forest Hunting</labl>
  </catgry>
  <catgry>
    <catValu>430007</catValu>
    <labl>Border Cacao and Coffee Farming</labl>
  </catgry>
  <catgry>
    <catValu>430008</catValu>
    <labl>Rubber and Charcoal with Food Crops</labl>
  </catgry>
  <catgry>
    <catValu>430009</catValu>
    <labl>Peri-Urban: Petty Trade, Market Gardening and Casual Employment</labl>
  </catgry>
  <catgry>
    <catValu>430010</catValu>
    <labl>Mining/Concession and Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>430098</catValu>
    <labl>National Parks</labl>
  </catgry>
  <catgry>
    <catValu>430099</catValu>
    <labl>Urban Areas</labl>
  </catgry>
  <catgry>
    <catValu>450001</catValu>
    <labl>Extreme north: sugar cane, fishing, tourism</labl>
  </catgry>
  <catgry>
    <catValu>450002</catValu>
    <labl>North: vanilla, clove, coconut tree</labl>
  </catgry>
  <catgry>
    <catValu>450003</catValu>
    <labl>Sofia River basin: tobacco, onion, fishing</labl>
  </catgry>
  <catgry>
    <catValu>450004</catValu>
    <labl>Northern highland: rice, zebu</labl>
  </catgry>
  <catgry>
    <catValu>450005</catValu>
    <labl>Betsiboka Delta: rice, fishing</labl>
  </catgry>
  <catgry>
    <catValu>450006</catValu>
    <labl>Upper Betsiboka: gold mining, rice, cows</labl>
  </catgry>
  <catgry>
    <catValu>450007</catValu>
    <labl>Aloatra: rice, fishing, livestock rearing</labl>
  </catgry>
  <catgry>
    <catValu>450008</catValu>
    <labl>Toamasina: cloves, coffee, trade</labl>
  </catgry>
  <catgry>
    <catValu>450009</catValu>
    <labl>West: rice, fishing, gathering</labl>
  </catgry>
  <catgry>
    <catValu>450010</catValu>
    <labl>Agropastoral midwest: rice, maize, pulses</labl>
  </catgry>
  <catgry>
    <catValu>450011</catValu>
    <labl>Central Iarivo: rice, market gardening, eucalyptus</labl>
  </catgry>
  <catgry>
    <catValu>450012</catValu>
    <labl>Moramanga: forest, petty trade, market gardening</labl>
  </catgry>
  <catgry>
    <catValu>450013</catValu>
    <labl>Center-east: litchi, coffee, citrus</labl>
  </catgry>
  <catgry>
    <catValu>450014</catValu>
    <labl>Ankaratra: staple crops, horticulture, milk</labl>
  </catgry>
  <catgry>
    <catValu>450015</catValu>
    <labl>Tsirobihina Delta: rice, fishing, pulses</labl>
  </catgry>
  <catgry>
    <catValu>450016</catValu>
    <labl>South-central peneplain: rice, onion, small livestock</labl>
  </catgry>
  <catgry>
    <catValu>450017</catValu>
    <labl>Southern highlands: staple crops, crafts, market gardening</labl>
  </catgry>
  <catgry>
    <catValu>450018</catValu>
    <labl>Corridor: forest products, banana</labl>
  </catgry>
  <catgry>
    <catValu>450019</catValu>
    <labl>Southeast: coffee, litchi, cassava</labl>
  </catgry>
  <catgry>
    <catValu>450020</catValu>
    <labl>Southwest: rice, lima bean</labl>
  </catgry>
  <catgry>
    <catValu>450021</catValu>
    <labl>Bara plateau: cows, cassava</labl>
  </catgry>
  <catgry>
    <catValu>450022</catValu>
    <labl>Center-south: staple crops, industrial sisal, zebu</labl>
  </catgry>
  <catgry>
    <catValu>450023</catValu>
    <labl>Mahafaly plateau: cassava</labl>
  </catgry>
  <catgry>
    <catValu>450024</catValu>
    <labl>Extreme south: cassava, maize, livestock rearing</labl>
  </catgry>
  <catgry>
    <catValu>454001</catValu>
    <labl>Central Karonga</labl>
  </catgry>
  <catgry>
    <catValu>454002</catValu>
    <labl>Chitipa Millet &amp; Maize</labl>
  </catgry>
  <catgry>
    <catValu>454003</catValu>
    <labl>Kasungu Lilongwe Plain</labl>
  </catgry>
  <catgry>
    <catValu>454004</catValu>
    <labl>Lake Chilwa - Phalombe Plain</labl>
  </catgry>
  <catgry>
    <catValu>454005</catValu>
    <labl>Lower Shire</labl>
  </catgry>
  <catgry>
    <catValu>454006</catValu>
    <labl>Middle Shire Valley</labl>
  </catgry>
  <catgry>
    <catValu>454007</catValu>
    <labl>Misuku Hills</labl>
  </catgry>
  <catgry>
    <catValu>454008</catValu>
    <labl>Mzimba Self Sufficient</labl>
  </catgry>
  <catgry>
    <catValu>454009</catValu>
    <labl>Nkhata Bay Cassava</labl>
  </catgry>
  <catgry>
    <catValu>454010</catValu>
    <labl>Northern Karonga</labl>
  </catgry>
  <catgry>
    <catValu>454011</catValu>
    <labl>Northern Lakeshore</labl>
  </catgry>
  <catgry>
    <catValu>454012</catValu>
    <labl>Phirilongwe Hills</labl>
  </catgry>
  <catgry>
    <catValu>454013</catValu>
    <labl>Rift Valley Escarpment</labl>
  </catgry>
  <catgry>
    <catValu>454014</catValu>
    <labl>Shire Highlands</labl>
  </catgry>
  <catgry>
    <catValu>454015</catValu>
    <labl>Southern Lakeshore</labl>
  </catgry>
  <catgry>
    <catValu>454016</catValu>
    <labl>Thyolo Mulunje Tea Estates</labl>
  </catgry>
  <catgry>
    <catValu>454017</catValu>
    <labl>Western Rumphi &amp; Mzimba</labl>
  </catgry>
  <catgry>
    <catValu>454018</catValu>
    <labl>Border Productive Horticulture</labl>
  </catgry>
  <catgry>
    <catValu>454019</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>454020</catValu>
    <labl>National Park</labl>
  </catgry>
  <catgry>
    <catValu>466001</catValu>
    <labl>Nomadism and Trans-Saharan Trade</labl>
  </catgry>
  <catgry>
    <catValu>466002</catValu>
    <labl>Northern Livestock</labl>
  </catgry>
  <catgry>
    <catValu>466003</catValu>
    <labl>Niger Loop Rice and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>466004</catValu>
    <labl>Central Livestock, Millet, and Remittances</labl>
  </catgry>
  <catgry>
    <catValu>466005</catValu>
    <labl>Dogon Plateau Millet and Shallots</labl>
  </catgry>
  <catgry>
    <catValu>466006</catValu>
    <labl>Niger Delta Rice, Cattle, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>466007</catValu>
    <labl>Office du NigerRice and Market Gardening</labl>
  </catgry>
  <catgry>
    <catValu>466008</catValu>
    <labl>Northwestern Sorghum, Remittances, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>466009</catValu>
    <labl>Central Sorghum and Millet</labl>
  </catgry>
  <catgry>
    <catValu>466010</catValu>
    <labl>Southeastern Sorghum, Millet, and Cotton</labl>
  </catgry>
  <catgry>
    <catValu>466011</catValu>
    <labl>Southern Maize, Cotton, and Fruits</labl>
  </catgry>
  <catgry>
    <catValu>466012</catValu>
    <labl>Southwestern Maize, Livestock, and Gold Mining</labl>
  </catgry>
  <catgry>
    <catValu>466013</catValu>
    <labl>Center-eastern Millet and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>466014</catValu>
    <labl>Lakes Recessional Millet and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>466015</catValu>
    <labl>Western Groundnut, Sorghum, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>466016</catValu>
    <labl>Southwestern Gold Mining and Maize</labl>
  </catgry>
  <catgry>
    <catValu>466017</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>478001</catValu>
    <labl>Nomadic pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>478002</catValu>
    <labl>Mine and pastoral</labl>
  </catgry>
  <catgry>
    <catValu>478003</catValu>
    <labl>Mixed pastoral, oases and wadis</labl>
  </catgry>
  <catgry>
    <catValu>478004</catValu>
    <labl>Littoral coastal fishing</labl>
  </catgry>
  <catgry>
    <catValu>478005</catValu>
    <labl>Pastoral and trade</labl>
  </catgry>
  <catgry>
    <catValu>478006</catValu>
    <labl>Transhumant pastoralism</labl>
  </catgry>
  <catgry>
    <catValu>478007</catValu>
    <labl>Agropastoralism</labl>
  </catgry>
  <catgry>
    <catValu>478008</catValu>
    <labl>Senegal valley agriculture</labl>
  </catgry>
  <catgry>
    <catValu>478009</catValu>
    <labl>Rainfed agriculture</labl>
  </catgry>
  <catgry>
    <catValu>508001</catValu>
    <labl>Lakeshore Basic Staples and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508002</catValu>
    <labl>Northern Highland Forest and Tourism</labl>
  </catgry>
  <catgry>
    <catValu>508003</catValu>
    <labl>Northwestern Tobacco and Maize</labl>
  </catgry>
  <catgry>
    <catValu>508004</catValu>
    <labl>Northern Cassava, Maize, and Forest</labl>
  </catgry>
  <catgry>
    <catValu>508005</catValu>
    <labl>Northern Highland with Mixed Cropping</labl>
  </catgry>
  <catgry>
    <catValu>508006</catValu>
    <labl>Northeastern Highland Forest</labl>
  </catgry>
  <catgry>
    <catValu>508007</catValu>
    <labl>Northeastern Cassava, Cashew, and Coconut</labl>
  </catgry>
  <catgry>
    <catValu>508008</catValu>
    <labl>North-Central Coastal Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508009</catValu>
    <labl>Plains with Cassava, Rice, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508010</catValu>
    <labl>Zambezi Valley with Maize and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508011</catValu>
    <labl>Northwestern Cropping and Cross-border Trade</labl>
  </catgry>
  <catgry>
    <catValu>508012</catValu>
    <labl>Coastal Sugarcane and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508013</catValu>
    <labl>Tete Highland Mixed Cropping, Tobbaco, and Cotton</labl>
  </catgry>
  <catgry>
    <catValu>508014</catValu>
    <labl>Cahora Bassa Dam Sesame and Cotton</labl>
  </catgry>
  <catgry>
    <catValu>508015</catValu>
    <labl>Central Semiarid Cotton and Minerals</labl>
  </catgry>
  <catgry>
    <catValu>508016</catValu>
    <labl>Manica Highland Mixed Cropping, Cotton, and Tobacco</labl>
  </catgry>
  <catgry>
    <catValu>508017</catValu>
    <labl>Central Manica and Sofala Mixed Cropping</labl>
  </catgry>
  <catgry>
    <catValu>508018</catValu>
    <labl>Cheringoma and Muanza Maize and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>508019</catValu>
    <labl>Central Semiarid Pineapple and Cashew</labl>
  </catgry>
  <catgry>
    <catValu>508020</catValu>
    <labl>Southern Coastal Cassava, Coconut, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>508021</catValu>
    <labl>Southern Intermediate Mixed Cropping</labl>
  </catgry>
  <catgry>
    <catValu>508022</catValu>
    <labl>Southern Semiarid Cereals and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>508023</catValu>
    <labl>Southeastern Rice</labl>
  </catgry>
  <catgry>
    <catValu>508024</catValu>
    <labl>Limpopo and Elephant Rivers Mixed Cropping</labl>
  </catgry>
  <catgry>
    <catValu>508025</catValu>
    <labl>Southern Coastal Rishing, Manioc, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>508026</catValu>
    <labl>Southern Highland Cattle and Mixed Cropping</labl>
  </catgry>
  <catgry>
    <catValu>558000</catValu>
    <labl>Urban Area</labl>
  </catgry>
  <catgry>
    <catValu>558001</catValu>
    <labl>Pacific Coast Export Fishing, Aquaculture, Tourism and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>558002</catValu>
    <labl>Pacific Agro-Industrial and Transitional Agriculture Zone</labl>
  </catgry>
  <catgry>
    <catValu>558003</catValu>
    <labl>Northwest Subsistence Agriculture, Livestock and Alternate Income Activities Zone</labl>
  </catgry>
  <catgry>
    <catValu>558004</catValu>
    <labl>EstelÃ­ Traditional and Industrial Tobacco Zone</labl>
  </catgry>
  <catgry>
    <catValu>558005</catValu>
    <labl>Managua Peri-urban Free-Trade, Agro-industry and Services Zone</labl>
  </catgry>
  <catgry>
    <catValu>558006</catValu>
    <labl>East-Central Vegetables, Informal Trade, Industry and Tourism ZoneÂ</labl>
  </catgry>
  <catgry>
    <catValu>558007</catValu>
    <labl>Southern Pacific, Agriculture and High Migration Zone</labl>
  </catgry>
  <catgry>
    <catValu>558008</catValu>
    <labl>Central Cattle and Agricultural Frontier Zone</labl>
  </catgry>
  <catgry>
    <catValu>558009</catValu>
    <labl>Agriculture and Livestock with High Migration to Costa Rica Zone</labl>
  </catgry>
  <catgry>
    <catValu>558010</catValu>
    <labl>Caribbean Humid Tropical Agriculture Zone</labl>
  </catgry>
  <catgry>
    <catValu>558011</catValu>
    <labl>Northern Atlantic Agricultural Frontier and Mining Zone</labl>
  </catgry>
  <catgry>
    <catValu>558012</catValu>
    <labl>Coffee with Commercial Agriculture and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>558013</catValu>
    <labl>Northern Market-bound Basic Grains, Livestock and Coffee Zone</labl>
  </catgry>
  <catgry>
    <catValu>558014</catValu>
    <labl>Communal Forestry Zone</labl>
  </catgry>
  <catgry>
    <catValu>558015</catValu>
    <labl>Coco River Traditional Agriculture Zone</labl>
  </catgry>
  <catgry>
    <catValu>558016</catValu>
    <labl>Caribbean Coast Traditional Fishing Zone</labl>
  </catgry>
  <catgry>
    <catValu>558025</catValu>
    <labl>National Forest Reserve</labl>
  </catgry>
  <catgry>
    <catValu>562000</catValu>
    <labl>Not Zoned (Desert)</labl>
  </catgry>
  <catgry>
    <catValu>562001</catValu>
    <labl>North-east Oases: Dates, Salt and Trade</labl>
  </catgry>
  <catgry>
    <catValu>562002</catValu>
    <labl>AÃ¯r Massif Irrigated Gardening</labl>
  </catgry>
  <catgry>
    <catValu>562003</catValu>
    <labl>Transhumant and Nomad Pastoralism</labl>
  </catgry>
  <catgry>
    <catValu>562004</catValu>
    <labl>Agropastoral Belt</labl>
  </catgry>
  <catgry>
    <catValu>562005</catValu>
    <labl>Rainfed Millet and Sorghum Belt</labl>
  </catgry>
  <catgry>
    <catValu>562006</catValu>
    <labl>Cropping and Herding with High Work Outmigration</labl>
  </catgry>
  <catgry>
    <catValu>562007</catValu>
    <labl>Southern Irrigated Cash Crops</labl>
  </catgry>
  <catgry>
    <catValu>562008</catValu>
    <labl>Southwestern Cereals with Fan-Palm Products</labl>
  </catgry>
  <catgry>
    <catValu>562009</catValu>
    <labl>Niger River Irrigated Rice</labl>
  </catgry>
  <catgry>
    <catValu>562010</catValu>
    <labl>Dallols - Seasonal Water-Course Irrigated Crops</labl>
  </catgry>
  <catgry>
    <catValu>562011</catValu>
    <labl>Southeastern Natron Salt and Small Basin Irrigated Dates</labl>
  </catgry>
  <catgry>
    <catValu>562012</catValu>
    <labl>Komadougou Irrigated Peppers</labl>
  </catgry>
  <catgry>
    <catValu>562013</catValu>
    <labl>Lake Chad Flood-Retreat Cultivation with Fishing</labl>
  </catgry>
  <catgry>
    <catValu>562014</catValu>
    <labl>Transhumant and Nomad Pastoralism-Camels</labl>
  </catgry>
  <catgry>
    <catValu>566001</catValu>
    <labl>Coastal Fishing</labl>
  </catgry>
  <catgry>
    <catValu>566002</catValu>
    <labl>Southern Cocoa, Palm Oil, and Kola nut</labl>
  </catgry>
  <catgry>
    <catValu>566003</catValu>
    <labl>South-Central Yam, Cassava, and Banana</labl>
  </catgry>
  <catgry>
    <catValu>566004</catValu>
    <labl>Southeast Rice, Salt, and Granite</labl>
  </catgry>
  <catgry>
    <catValu>566005</catValu>
    <labl>Niger and Benue River Floodplain Rice and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>566006</catValu>
    <labl>Central Plain Yam and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>566007</catValu>
    <labl>Mambilla Plateau Cattle, Cocoa, and Tea</labl>
  </catgry>
  <catgry>
    <catValu>566008</catValu>
    <labl>Central Highland Maize and Soybean</labl>
  </catgry>
  <catgry>
    <catValu>566009</catValu>
    <labl>Northeastern Highland Maize, Cocoyam, Potatoes, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>566010</catValu>
    <labl>North-Central Maize, Sorghum, and Cotton</labl>
  </catgry>
  <catgry>
    <catValu>566011</catValu>
    <labl>Northern Floodplains Irrigated Rice, Wheat, and Vegetables</labl>
  </catgry>
  <catgry>
    <catValu>566012</catValu>
    <labl>Northeast Millet, Cowpea, and Sesame</labl>
  </catgry>
  <catgry>
    <catValu>566013</catValu>
    <labl>Sahel Mixed Cereals and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>686000</catValu>
    <labl>Urban Area - Dakar</labl>
  </catgry>
  <catgry>
    <catValu>686001</catValu>
    <labl>The Niayes Gardening and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>686002</catValu>
    <labl>Delta Rice, Horticulture, and Agricultural Labor</labl>
  </catgry>
  <catgry>
    <catValu>686003</catValu>
    <labl>Valley Rice and Remittances</labl>
  </catgry>
  <catgry>
    <catValu>686004</catValu>
    <labl>Dieri Millet and Remittances</labl>
  </catgry>
  <catgry>
    <catValu>686005</catValu>
    <labl>Rainfed Cowpea and Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>686006</catValu>
    <labl>Sylvopatoral Livestock and Gathering</labl>
  </catgry>
  <catgry>
    <catValu>686007</catValu>
    <labl>Small Coast Fishing and Tourism</labl>
  </catgry>
  <catgry>
    <catValu>686008</catValu>
    <labl>Rainfed Groundnut and Millet</labl>
  </catgry>
  <catgry>
    <catValu>686009</catValu>
    <labl>Agropastoral Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>686010</catValu>
    <labl>Rainfed Groundnut and Cereals</labl>
  </catgry>
  <catgry>
    <catValu>686011</catValu>
    <labl>Forest and Rainfed Rice</labl>
  </catgry>
  <catgry>
    <catValu>686012</catValu>
    <labl>Forest, Rainfed Rice, and Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>686013</catValu>
    <labl>Rainfed Maize, Cotton, and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>686014</catValu>
    <labl>Rainfed Maize and Lumber</labl>
  </catgry>
  <catgry>
    <catValu>686015</catValu>
    <labl>Rainfed Maize and Artisanal Gold Mining</labl>
  </catgry>
  <catgry>
    <catValu>686016</catValu>
    <labl>National Park</labl>
  </catgry>
  <catgry>
    <catValu>694000</catValu>
    <labl>Urban Area - Not Zoned</labl>
  </catgry>
  <catgry>
    <catValu>694001</catValu>
    <labl>Tonkolli Food Crops, Gold and Iron Ore</labl>
  </catgry>
  <catgry>
    <catValu>694002</catValu>
    <labl>Bombali Food Crops, Peppers, Tobacco and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>694003</catValu>
    <labl>Western Rice, Root Crops, Cereals and Trade Belt</labl>
  </catgry>
  <catgry>
    <catValu>694004</catValu>
    <labl>Coastal Food Crops and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>694005</catValu>
    <labl>Kailahun-Kenema-Pujehun Cash Crops, Food Crops and Trade</labl>
  </catgry>
  <catgry>
    <catValu>694006</catValu>
    <labl>Kono-Kenema-Bo Rice, Tree Crops and Timbers</labl>
  </catgry>
  <catgry>
    <catValu>694007</catValu>
    <labl>Koinadugu Food Crops, Livestock and Trade</labl>
  </catgry>
  <catgry>
    <catValu>694008</catValu>
    <labl>Follosoba Dembellia and Wara Wara Yagala Vegetables</labl>
  </catgry>
  <catgry>
    <catValu>694009</catValu>
    <labl>Freetown Peri-Urban</labl>
  </catgry>
  <catgry>
    <catValu>694010</catValu>
    <labl>Rice Bowl Areas</labl>
  </catgry>
  <catgry>
    <catValu>706001</catValu>
    <labl>Guban Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>706002</catValu>
    <labl>West Golis Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>706003</catValu>
    <labl>Northwestern Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>706004</catValu>
    <labl>Togdheer Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>706005</catValu>
    <labl>Hawd Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>706006</catValu>
    <labl>Northern Inland Pastoral â€“ Goats and Sheep</labl>
  </catgry>
  <catgry>
    <catValu>706007</catValu>
    <labl>East Golis â€“ Frankincense, Goats, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>706008</catValu>
    <labl>Coastal Deeh Pastoral and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>706009</catValu>
    <labl>Addun Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>706010</catValu>
    <labl>Cowpea Belt Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>706011</catValu>
    <labl>Southern Inland Pastoral â€“ Camels, Goats, Sheep, and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>706012</catValu>
    <labl>Southern Agropastoral â€“ Goats, Camels, and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>706013</catValu>
    <labl>Riverine Pump Irrigation</labl>
  </catgry>
  <catgry>
    <catValu>706014</catValu>
    <labl>Riverine Gravity Irrigation</labl>
  </catgry>
  <catgry>
    <catValu>706015</catValu>
    <labl>Sorghum High Potential Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>706016</catValu>
    <labl>Bay Bakool Low Potential Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>706017</catValu>
    <labl>Southern Rainfed Agropastoral â€“ Maize, Cattle, and Goats</labl>
  </catgry>
  <catgry>
    <catValu>706018</catValu>
    <labl>Juba Pastoral â€“  Cattle and Goats</labl>
  </catgry>
  <catgry>
    <catValu>706019</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>716000</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>716001</catValu>
    <labl>Agrofisheries</labl>
  </catgry>
  <catgry>
    <catValu>716002</catValu>
    <labl>Beitbridge South Western Lowveld Communal</labl>
  </catgry>
  <catgry>
    <catValu>716003</catValu>
    <labl>Bikita-Zaka Highlands Communal</labl>
  </catgry>
  <catgry>
    <catValu>716004</catValu>
    <labl>Central and Northern Semi Intensive Farming</labl>
  </catgry>
  <catgry>
    <catValu>716005</catValu>
    <labl>Cereal and High Cotton Communal</labl>
  </catgry>
  <catgry>
    <catValu>716006</catValu>
    <labl>Cereal and Low Cotton Communal</labl>
  </catgry>
  <catgry>
    <catValu>716007</catValu>
    <labl>Eastern Highlands Commercial Farming</labl>
  </catgry>
  <catgry>
    <catValu>716008</catValu>
    <labl>Eastern Highlands Prime Communal</labl>
  </catgry>
  <catgry>
    <catValu>716009</catValu>
    <labl>Eastern Kalahari Sandveld Communal</labl>
  </catgry>
  <catgry>
    <catValu>716010</catValu>
    <labl>Greater Mudzi Communal</labl>
  </catgry>
  <catgry>
    <catValu>716011</catValu>
    <labl>Highveld Prime Cereal and Cash Crop Resettlement</labl>
  </catgry>
  <catgry>
    <catValu>716012</catValu>
    <labl>Highveld Prime Communal</labl>
  </catgry>
  <catgry>
    <catValu>716013</catValu>
    <labl>Irrigated Commercial Sugar and Fruit Farming</labl>
  </catgry>
  <catgry>
    <catValu>716014</catValu>
    <labl>Kariba Valley and Kariangwe-Jambezi Communal</labl>
  </catgry>
  <catgry>
    <catValu>716015</catValu>
    <labl>Livestock and Cereal  Farming Communal in Forests</labl>
  </catgry>
  <catgry>
    <catValu>716016</catValu>
    <labl>Lusulu, Lupane and Southern Gokwe Mixed Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>716017</catValu>
    <labl>Masvingo Manicaland Middleveld Smallholder</labl>
  </catgry>
  <catgry>
    <catValu>716018</catValu>
    <labl>Matabeleland Middleveld Communal</labl>
  </catgry>
  <catgry>
    <catValu>716019</catValu>
    <labl>Mutorashanga Informal mining</labl>
  </catgry>
  <catgry>
    <catValu>716020</catValu>
    <labl>Mwenezi, Chivi and South Midland Communal</labl>
  </catgry>
  <catgry>
    <catValu>716021</catValu>
    <labl>Northern Cattle and Cereal Farming</labl>
  </catgry>
  <catgry>
    <catValu>716022</catValu>
    <labl>Northern Zambezi Valley Communal</labl>
  </catgry>
  <catgry>
    <catValu>716023</catValu>
    <labl>Save River Valley and Ndowoyo Communal</labl>
  </catgry>
  <catgry>
    <catValu>716024</catValu>
    <labl>Southern Cattle and Cereal Farming</labl>
  </catgry>
  <catgry>
    <catValu>716025</catValu>
    <labl>Western Kalahari Sandveld Communal</labl>
  </catgry>
  <catgry>
    <catValu>716026</catValu>
    <labl>National Park</labl>
  </catgry>
  <catgry>
    <catValu>728001</catValu>
    <labl>Equatorial maize and cassava</labl>
  </catgry>
  <catgry>
    <catValu>728002</catValu>
    <labl>Ironstone Plateau agro-pastoral</labl>
  </catgry>
  <catgry>
    <catValu>728003</catValu>
    <labl>Highland forest and sorghum</labl>
  </catgry>
  <catgry>
    <catValu>728004</catValu>
    <labl>Western groundnuts, sesame and sorghum</labl>
  </catgry>
  <catgry>
    <catValu>728005</catValu>
    <labl>Eastern semi-arid pastoral</labl>
  </catgry>
  <catgry>
    <catValu>728006</catValu>
    <labl>Eastern plains sorghum and cattle</labl>
  </catgry>
  <catgry>
    <catValu>728007</catValu>
    <labl>Greater Bahr el Ghazal sorghum and cattle</labl>
  </catgry>
  <catgry>
    <catValu>728008</catValu>
    <labl>Nile basin fishing and agro-pastoral</labl>
  </catgry>
  <catgry>
    <catValu>728009</catValu>
    <labl>Oil resources, maize and cattle</labl>
  </catgry>
  <catgry>
    <catValu>728010</catValu>
    <labl>Northeastern maize and cattle</labl>
  </catgry>
  <catgry>
    <catValu>728011</catValu>
    <labl>Northern sorhgum and livestock</labl>
  </catgry>
  <catgry>
    <catValu>729000</catValu>
    <labl>Not Zoned</labl>
  </catgry>
  <catgry>
    <catValu>729001</catValu>
    <labl>Northern Riverine Small-scale Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>729002</catValu>
    <labl>Southern Riverine Small/Medium-scale Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>729003</catValu>
    <labl>Eastern Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>729004</catValu>
    <labl>West and Central Pastoral</labl>
  </catgry>
  <catgry>
    <catValu>729005</catValu>
    <labl>Eastern Khors Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>729006</catValu>
    <labl>Coastal Fishing</labl>
  </catgry>
  <catgry>
    <catValu>729007</catValu>
    <labl>Eastern Agropastoral Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>729008</catValu>
    <labl>Flood-retreat Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>729009</catValu>
    <labl>Central Irrigated Schemes</labl>
  </catgry>
  <catgry>
    <catValu>729010</catValu>
    <labl>Southeast Rainfed Semi-mechanized Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>729011</catValu>
    <labl>Rainfed Sorghum Belt</labl>
  </catgry>
  <catgry>
    <catValu>729012</catValu>
    <labl>Western Agropastoral Millet and Groundnuts</labl>
  </catgry>
  <catgry>
    <catValu>729013</catValu>
    <labl>Western Agropastoral Millet</labl>
  </catgry>
  <catgry>
    <catValu>729014</catValu>
    <labl>Central Rainfed Millet and Sesame</labl>
  </catgry>
  <catgry>
    <catValu>729015</catValu>
    <labl>Jabel Marra Mixed Highland Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>729016</catValu>
    <labl>Western Wadi Cultivation</labl>
  </catgry>
  <catgry>
    <catValu>729017</catValu>
    <labl>North Darfur Tobacco</labl>
  </catgry>
  <catgry>
    <catValu>729018</catValu>
    <labl>North Kordofan Gum Arabic Belt</labl>
  </catgry>
  <catgry>
    <catValu>729019</catValu>
    <labl>Cattle Dominant Agropastoral</labl>
  </catgry>
  <catgry>
    <catValu>800001</catValu>
    <labl>North Eastern Karamoja Highland Apiculture and Potato Zone</labl>
  </catgry>
  <catgry>
    <catValu>800002</catValu>
    <labl>Western Karamoja Mixed Crop Farming Zone</labl>
  </catgry>
  <catgry>
    <catValu>800003</catValu>
    <labl>South Eastern Karamoja Cattle Maize Zone</labl>
  </catgry>
  <catgry>
    <catValu>800004</catValu>
    <labl>Karamoja Mountain and Foot Hills Maize and Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800005</catValu>
    <labl>Central Karamoja Sorghum and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>800006</catValu>
    <labl>NE Sorghum Simsim Maize Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>800007</catValu>
    <labl>North Kitgum Gulu Amuru West Nile Simsim Sorghum Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>800008</catValu>
    <labl>Palabek Tobacco Simsim Sorghum and Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800009</catValu>
    <labl>South Kitgum Pader Abim Simsim Groundnuts Sorghum Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800010</catValu>
    <labl>Albertine West Nile Lowland Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800011</catValu>
    <labl>Kafu Muzizi Maize Upland Rice Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800012</catValu>
    <labl>Albertine Escarpment Cotton Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800013</catValu>
    <labl>Bwijanga Pakanyi SugarcaNE Maize Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800014</catValu>
    <labl>Karuma Masindi Oyam Tobacco Maize Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800015</catValu>
    <labl>West Nile Tobacco Cassava Sorghum Zone</labl>
  </catgry>
  <catgry>
    <catValu>800016</catValu>
    <labl>Rwenzori Mt.Elgon West Nile Arabica Coffee Banana Zone</labl>
  </catgry>
  <catgry>
    <catValu>800017</catValu>
    <labl>Amuru Gulu Rice Groundnut Sorghum Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>800018</catValu>
    <labl>Southwest Gulu Beans Groundnuts Shoat Cassava</labl>
  </catgry>
  <catgry>
    <catValu>800019</catValu>
    <labl>Mid North Simsim Maize Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800020</catValu>
    <labl>Eastern Lowland Maize Beans Rice Zone</labl>
  </catgry>
  <catgry>
    <catValu>800021</catValu>
    <labl>Eastern Central Lowland Cassava Sorghum and Groundnut Zone</labl>
  </catgry>
  <catgry>
    <catValu>800022</catValu>
    <labl>Mt Elgon Highland Irish Potato Cereal Zone</labl>
  </catgry>
  <catgry>
    <catValu>800023</catValu>
    <labl>Central and Southern Cattle Cassava Maize Zone</labl>
  </catgry>
  <catgry>
    <catValu>800024</catValu>
    <labl>Lakeshore and Riverbank Fishing Zone</labl>
  </catgry>
  <catgry>
    <catValu>800025</catValu>
    <labl>Southeastern Maize Beans Robusta Coffee Zone</labl>
  </catgry>
  <catgry>
    <catValu>800026</catValu>
    <labl>Midwest Central and Lake Victoria Crescent Robusta Coffee Banana Maize and Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800027</catValu>
    <labl>Rwenzori Midland Banana Fruit Vegetable Dairy Zone</labl>
  </catgry>
  <catgry>
    <catValu>800028</catValu>
    <labl>Kazinga Channel Cassava Maize Fruit Vegetable Cotton Zone</labl>
  </catgry>
  <catgry>
    <catValu>800029</catValu>
    <labl>Rwenzori Lowland Maize Vegetable Banana Zone</labl>
  </catgry>
  <catgry>
    <catValu>800030</catValu>
    <labl>Southeastern Lowland Cassava Cereal Zone</labl>
  </catgry>
  <catgry>
    <catValu>800031</catValu>
    <labl>Eastern Lowland Rice Root Crop Zone</labl>
  </catgry>
  <catgry>
    <catValu>800032</catValu>
    <labl>Southeastern Lowland Cassava Maize Sweet Potato Zone</labl>
  </catgry>
  <catgry>
    <catValu>800033</catValu>
    <labl>East Central Plantation Outgrower Zone</labl>
  </catgry>
  <catgry>
    <catValu>800034</catValu>
    <labl>Kayunga Masaka Pineapple Banana Robusta Coffee and Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800035</catValu>
    <labl>SW Highland Irish Potato Sorghum Vegetable Zone</labl>
  </catgry>
  <catgry>
    <catValu>800036</catValu>
    <labl>Kalangala Fishing Oil Palm Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800037</catValu>
    <labl>Western Rift Valley Cocoa Coffee Cassava Zone</labl>
  </catgry>
  <catgry>
    <catValu>800038</catValu>
    <labl>Rwenzori Midland Tea and Dairy Zone</labl>
  </catgry>
  <catgry>
    <catValu>800039</catValu>
    <labl>Southwestern Midland Banana Robusta Coffee Cattle Zone</labl>
  </catgry>
  <catgry>
    <catValu>800040</catValu>
    <labl>SW Rift Valley Tobacco Bean Millet Zone</labl>
  </catgry>
  <catgry>
    <catValu>800041</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>800042</catValu>
    <labl>National Park</labl>
  </catgry>
  <catgry>
    <catValu>834001</catValu>
    <labl>Southern Maasai Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>834002</catValu>
    <labl>River Pangani Paddy and Maize Basin</labl>
  </catgry>
  <catgry>
    <catValu>834003</catValu>
    <labl>Tanga Maize and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>834004</catValu>
    <labl>Tanga Maize and Sisal Employment</labl>
  </catgry>
  <catgry>
    <catValu>834005</catValu>
    <labl>Usambara-Pare Highland</labl>
  </catgry>
  <catgry>
    <catValu>834006</catValu>
    <labl>Tanga Maize, Orange, and Jackfruit Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834007</catValu>
    <labl>Tanga-Pwani Coastal Maize, Paddy Belt</labl>
  </catgry>
  <catgry>
    <catValu>834008</catValu>
    <labl>Handeni-Bagamoyo Maize, Cassava, and Fruit Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834009</catValu>
    <labl>Loliondo Midland Maize, Beans, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834010</catValu>
    <labl>Lower Rombo Maize, Beans, and Finger Millet</labl>
  </catgry>
  <catgry>
    <catValu>834011</catValu>
    <labl>Kilimanjaro-Meru Maize, Coffee, and Plantains</labl>
  </catgry>
  <catgry>
    <catValu>834012</catValu>
    <labl>Karatu Wheat, Maize, and Coffee</labl>
  </catgry>
  <catgry>
    <catValu>834013</catValu>
    <labl>Lower Arusha-Simanjiro Maize</labl>
  </catgry>
  <catgry>
    <catValu>834014</catValu>
    <labl>Northern Maasai Pastoralist</labl>
  </catgry>
  <catgry>
    <catValu>834015</catValu>
    <labl>Nowu Maize, Beans, and Onions Highlands</labl>
  </catgry>
  <catgry>
    <catValu>834016</catValu>
    <labl>Babati Kwaraa Maize, Beans, Sunflower, and Coffee</labl>
  </catgry>
  <catgry>
    <catValu>834017</catValu>
    <labl>Kiteto-Kongwa-Mpwapwa-Mvomero Maize, Sorghum, and Pigeon Pea</labl>
  </catgry>
  <catgry>
    <catValu>834018</catValu>
    <labl>Mbulu-Karatu Midlands Maize, Beans, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834019</catValu>
    <labl>Hadzabe Hunter-Gatherer Wild Honey, Wild Roots, and Wild Fruit</labl>
  </catgry>
  <catgry>
    <catValu>834020</catValu>
    <labl>Wembere Paddy, Sorghum, Maize, Sunflower, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>834021</catValu>
    <labl>Bahi-Sanza Irrigated Rice, Maize, Bulrush Millet, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834022</catValu>
    <labl>Iramba Midland Onion, Maize, and Sunflower</labl>
  </catgry>
  <catgry>
    <catValu>834023</catValu>
    <labl>Manyoni Upland Maize, Sunflower, Sesame, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834024</catValu>
    <labl>Tabora-Singida Midland Maize, Sunflower, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834025</catValu>
    <labl>Singida-Manyara Maize, Sorghum, Beans, and Sunflower</labl>
  </catgry>
  <catgry>
    <catValu>834026</catValu>
    <labl>East and South Lakeshore Fishing, Cassava, and Upland Rice</labl>
  </catgry>
  <catgry>
    <catValu>834027</catValu>
    <labl>Western Lakeshore Coffee, Fishing, and Banana</labl>
  </catgry>
  <catgry>
    <catValu>834028</catValu>
    <labl>Kagera-Kigoma-Mara Banana, Coffee, and Beans</labl>
  </catgry>
  <catgry>
    <catValu>834029</catValu>
    <labl>Mwanza-Shinyanga-Mara Cotton, Livestock, Cassava, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834030</catValu>
    <labl>Kagera Lowlands Beans, Maize, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834031</catValu>
    <labl>Shinyanga-Tabora Cotton, Upland Rice, Sweet Potato, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834032</catValu>
    <labl>Sengerema-Geita Highland Cassava, Rice, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834033</catValu>
    <labl>Kagera-Kigoma Beans, Cassava, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834034</catValu>
    <labl>Kahama-Tabora Midland Tobacco, Maize, Rice, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834035</catValu>
    <labl>Kishapu-Meatu-Maswa Sorghum, Cotton, Sweet Potato, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834036</catValu>
    <labl>Urambo-Nzega Lowland Groundnuts, Cotton, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834037</catValu>
    <labl>Kigoma Lowland Palm Oil, Cassava, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834038</catValu>
    <labl>Urambo Agropastoral Maize and Sweet Potato</labl>
  </catgry>
  <catgry>
    <catValu>834039</catValu>
    <labl>Victoria Islands Fishing, Cassava, Sweet Potato, and Paddy</labl>
  </catgry>
  <catgry>
    <catValu>834040</catValu>
    <labl>Ruaha Riverine Maize, Onion, Tomato, and Paddy Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834041</catValu>
    <labl>Chalinze-Tunuguo Maize, Cattle, and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>834042</catValu>
    <labl>Kilombero-Mtibwa Paddy, Maize, and Sugar Employment</labl>
  </catgry>
  <catgry>
    <catValu>834043</catValu>
    <labl>Kilombero-Ulanga-Lusewa Paddy, Maize, and Cassava</labl>
  </catgry>
  <catgry>
    <catValu>834044</catValu>
    <labl>Kilosa-Mvomero Maize and Paddy Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834045</catValu>
    <labl>Matombo-Kuyuni Spice, Maize, and Banana</labl>
  </catgry>
  <catgry>
    <catValu>834046</catValu>
    <labl>Bagamoyo-Kibaha Midland Cassava, Cashew, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834047</catValu>
    <labl>Morogoro Highland Maize and Vegetable</labl>
  </catgry>
  <catgry>
    <catValu>834048</catValu>
    <labl>Maskat-Kimbet Maize and Beans Highlands</labl>
  </catgry>
  <catgry>
    <catValu>834049</catValu>
    <labl>Newala-Masasi Plateau Sesame, Cassava, Cashew, and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>834050</catValu>
    <labl>Mtwara-Lindi Coastal Rice and Cashew</labl>
  </catgry>
  <catgry>
    <catValu>834051</catValu>
    <labl>Matumbi Midland Upland Rice, Oranges, and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834052</catValu>
    <labl>Lindi-Nachingwea Lowland Cassava and Maize</labl>
  </catgry>
  <catgry>
    <catValu>834053</catValu>
    <labl>Southeastern Plateau Cassava, Cashew, and Bambara Nuts</labl>
  </catgry>
  <catgry>
    <catValu>834054</catValu>
    <labl>Mtwara-Lindi-Pwani Riverine</labl>
  </catgry>
  <catgry>
    <catValu>834055</catValu>
    <labl>Singida-Dodoma Sorghum, B/Millet, Sunflower, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834056</catValu>
    <labl>Dodoma Lowland Sunflower, Grape, and Sorghum</labl>
  </catgry>
  <catgry>
    <catValu>834057</catValu>
    <labl>Mpanda Maize, Paddy, Sunflower, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834058</catValu>
    <labl>Lake Tanganyika-Rukwa Fishing, Maize, and Sunflower</labl>
  </catgry>
  <catgry>
    <catValu>834059</catValu>
    <labl>Kyela Paddy, Cacao, and Palm Oil Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834060</catValu>
    <labl>Rungwe Banana, Coffee, Tea, and Livestock Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834061</catValu>
    <labl>Mporoto-Umalila Irish Potato, Maize, Wheat, and Pyrethrum Highlands</labl>
  </catgry>
  <catgry>
    <catValu>834062</catValu>
    <labl>Mbozi-Mbeya Coffee, Maize, Beans, and Livestock Highlands</labl>
  </catgry>
  <catgry>
    <catValu>834063</catValu>
    <labl>Usangu Paddy, Maize, Sorghum, and Livestock Wetlands</labl>
  </catgry>
  <catgry>
    <catValu>834064</catValu>
    <labl>Kamsamba Paddy, Sorghum, and Livestock Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834065</catValu>
    <labl>Chunya Maize, Sunflower, Cassava, and Groundnut Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834066</catValu>
    <labl>West Chunya Maize, Bulrush Millet, and Sesame Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834067</catValu>
    <labl>Lake Nyasa Shore Cassava Fishing and Paddy</labl>
  </catgry>
  <catgry>
    <catValu>834068</catValu>
    <labl>Namtumbo Tobacco, Maize, Paddy, and Cassava Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834069</catValu>
    <labl>Matengo Coffee, Maize, Beans, and Piggery Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834070</catValu>
    <labl>Songea-Namtumbo-Ludewa-Mibinga Maize, Beans, and Cassava Midlands</labl>
  </catgry>
  <catgry>
    <catValu>834071</catValu>
    <labl>Njombe-Mufindi Maize, Timber, Tea, Pyrethrum, and Employment</labl>
  </catgry>
  <catgry>
    <catValu>834072</catValu>
    <labl>Mtera Dam Fishing, Sorghum, and Sesame</labl>
  </catgry>
  <catgry>
    <catValu>834073</catValu>
    <labl>Makete Wheat, Irish Potato, Timber, and Employment Highlands</labl>
  </catgry>
  <catgry>
    <catValu>834074</catValu>
    <labl>Njombe-Mufindi Maize, Irish Potato, and Bean</labl>
  </catgry>
  <catgry>
    <catValu>834075</catValu>
    <labl>Iringa-Mbarali Maize, Sunflower, Beans, and Groundnut Belt</labl>
  </catgry>
  <catgry>
    <catValu>834076</catValu>
    <labl>Tunduru-Nachingwea-Nanyumbu Cashew, Cassava, and Paddy Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834077</catValu>
    <labl>Mpanda-Chunya-Sikonge Maize and Tobacco Lowlands</labl>
  </catgry>
  <catgry>
    <catValu>834078</catValu>
    <labl>Sumbawanga-Mbozi-Mpanda Maize, Sunflower, and Livestock</labl>
  </catgry>
  <catgry>
    <catValu>834098</catValu>
    <labl>Water</labl>
  </catgry>
  <catgry>
    <catValu>834099</catValu>
    <labl>Not Zoned</labl>
  </catgry>
  <catgry>
    <catValu>854001</catValu>
    <labl>South tubers and cereals</labl>
  </catgry>
  <catgry>
    <catValu>854002</catValu>
    <labl>Southwest fruits, cotton, and cereals</labl>
  </catgry>
  <catgry>
    <catValu>854003</catValu>
    <labl>West cotton and cereals</labl>
  </catgry>
  <catgry>
    <catValu>854004</catValu>
    <labl>West cereals and remittances</labl>
  </catgry>
  <catgry>
    <catValu>854005</catValu>
    <labl>Central plateau cereals and market gardening</labl>
  </catgry>
  <catgry>
    <catValu>854006</catValu>
    <labl>Ouagadougou peri-urban</labl>
  </catgry>
  <catgry>
    <catValu>854007</catValu>
    <labl>North and east livestock and cereals</labl>
  </catgry>
  <catgry>
    <catValu>854008</catValu>
    <labl>North transhumant pastoralism and millet</labl>
  </catgry>
  <catgry>
    <catValu>854009</catValu>
    <labl>Southeast cereals, livestock, forestry and faune</labl>
  </catgry>
  <catgry>
    <catValu>887001</catValu>
    <labl>Amran Rainfed Sorghum, Barley, Qat, and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887002</catValu>
    <labl>Arabian Sea Coastal Irrigated Tropical Fruit, Fodder and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887003</catValu>
    <labl>Central and Eastern Plateau Agro-Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>887004</catValu>
    <labl>Central and Eastern Wadi Palm, Wheat, Vegetable and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887005</catValu>
    <labl>Central Highland Potato, Vegetable and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887006</catValu>
    <labl>Eastern Plateau Sorghum, Millet and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887007</catValu>
    <labl>Greater Yemen Coastal and Island Fishing Zone</labl>
  </catgry>
  <catgry>
    <catValu>887008</catValu>
    <labl>Northern and Eastern Desert Pastoral Zone</labl>
  </catgry>
  <catgry>
    <catValu>887009</catValu>
    <labl>Sa'adah Irrigated Wheat, Fruit, Vegetable, Qat, and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887010</catValu>
    <labl>Western and Central Highland Qat, Grain, Fodder and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887011</catValu>
    <labl>Western and Central Wadi Sorghum, Millet, Vegetable, Fruit and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887012</catValu>
    <labl>Western Central Highland Coffee, Qat, Sorghum and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887013</catValu>
    <labl>Western Central Highland Wheat, Sorghum, Qat, and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887014</catValu>
    <labl>Western Coastal Plain Sorghum, Millet, and Livestock Zone</labl>
  </catgry>
  <catgry>
    <catValu>887015</catValu>
    <labl>Urban</labl>
  </catgry>
  <catgry>
    <catValu>894001</catValu>
    <labl>Zambezi Plain Rice, Livestock, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>894002</catValu>
    <labl>Southwestern Cereal, Livestock, and Timber</labl>
  </catgry>
  <catgry>
    <catValu>894003</catValu>
    <labl>Western and Northwestern Cassava, Maize, and Cattle</labl>
  </catgry>
  <catgry>
    <catValu>894004</catValu>
    <labl>Kaoma Smallholder Food Crop and Tobacco</labl>
  </catgry>
  <catgry>
    <catValu>894005</catValu>
    <labl>Northwestern Timber and Honey</labl>
  </catgry>
  <catgry>
    <catValu>894006</catValu>
    <labl>Solwezi and Kasempa Mining Labor and Agriculture</labl>
  </catgry>
  <catgry>
    <catValu>894007</catValu>
    <labl>Kafue Plain Maize, Cattle, and Fishing</labl>
  </catgry>
  <catgry>
    <catValu>894008</catValu>
    <labl>Commercial Rail Line Maize, Livestock, and Cotton</labl>
  </catgry>
  <catgry>
    <catValu>894009</catValu>
    <labl>Southern Plateau Cattle, Maize, and Tobacco</labl>
  </catgry>
  <catgry>
    <catValu>894010</catValu>
    <labl>Zambezi Valley Agro-fisheries</labl>
  </catgry>
  <catgry>
    <catValu>894011</catValu>
    <labl>Mkushi, Chisamba, and Mpongwe Commercial Farming Block</labl>
  </catgry>
  <catgry>
    <catValu>894012</catValu>
    <labl>Central Copperbelt Maize, Cassava, and Sweet Potato</labl>
  </catgry>
  <catgry>
    <catValu>894013</catValu>
    <labl>Copperbelt Labor and Trade</labl>
  </catgry>
  <catgry>
    <catValu>894014</catValu>
    <labl>Mkushi and Serenje Maize, Sweet Potato, and Horticulture</labl>
  </catgry>
  <catgry>
    <catValu>894015</catValu>
    <labl>Luangwa Valley Informal Mining, Fishing, and Hunting</labl>
  </catgry>
  <catgry>
    <catValu>894016</catValu>
    <labl>Eastern Plateau Maize, Cotton, and Groundnut</labl>
  </catgry>
  <catgry>
    <catValu>894017</catValu>
    <labl>Eastern Plateau Maize, Groundnut, Tobacco, and Trade</labl>
  </catgry>
  <catgry>
    <catValu>894018</catValu>
    <labl>Luangwa Valley Subsistence Farming, Hunting, and Tourism</labl>
  </catgry>
  <catgry>
    <catValu>894019</catValu>
    <labl>Northern Border Maize, Beans, Livestock, and Trade</labl>
  </catgry>
  <catgry>
    <catValu>894020</catValu>
    <labl>Muchinga, Northern, and Luapula Cassava, Groundnut, and Mill</labl>
  </catgry>
  <catgry>
    <catValu>894021</catValu>
    <labl>Mweru, Bangweulu, and Tanganyika Fisheries</labl>
  </catgry>
  <txt>LIVELIHOOD reports the predominant livelihood zone within a 5-kilometer circular buffer around each DHS cluster location. Livelihood zones can be used as an indicator for sources of food and/or income and as a measure of people's vulnerability to hazards, such as flood, drought, food crisis, market disruption, or conflicts. 

Information on livelihood zones are available for selected countries of Africa, Afghanistan, El Salvador, Haiti, Honduras, and Nicaragua. Livelihood zones are country-specific; therefore, codes and labels for LIVELIHOOD vary across countries. 

The original LIVELIHOOD zone codes from the Famine Early Warning Systems Network (FEWS NET [URL omitted from DDI.]) begin with the 2-character alphabetic ISO code followed by the livelihood zone code. In place of the 2-character alphabetic ISO code used in the source data, IPUMS-DHS substitutes the 3-digit ISO country code (e.g., 231 for Ethiopia), followed by the 3-digit numeric livelihood zone code (e.g., 177 for West Central Teff).

LIVELIHOOD, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_CROPLAND" name="H_CROPLAND" files="H" intrvl="discrete">
  <labl>Proportion of land area used for agriculture (circa 2000)</labl>
  <imputation>Proportion of land area used for agriculture (circa 2000)</imputation>
  <security>Proportion of land area used for agriculture (circa 2000)</security>
  <embargo>Proportion of land area used for agriculture (circa 2000)</embargo>
  <respUnit>Proportion of land area used for agriculture (circa 2000)</respUnit>
  <catgry>
    <catValu>-00998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>CROPLAND reports the proportion of land that is planted in crops, for a 10-kilometer circular buffer around each DHS cluster location. The statistics reported in CROPLAND are based on agricultural censuses and remotely sensed imagery circa 2000. 

CROPLAND is available for every IPUMS-DHS sample with GPS data. 
 
CROPLAND, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PASTURELAND" name="H_PASTURELAND" files="H" intrvl="discrete">
  <labl>Proportion of land area used for pastureland (circa 2000)</labl>
  <imputation>Proportion of land area used for pastureland (circa 2000)</imputation>
  <security>Proportion of land area used for pastureland (circa 2000)</security>
  <embargo>Proportion of land area used for pastureland (circa 2000)</embargo>
  <respUnit>Proportion of land area used for pastureland (circa 2000)</respUnit>
  <catgry>
    <catValu>-00998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>PASTURELAND reports the proportion of land that is used as pasture, for a 10-kilometer circular buffer around each DHS cluster location. The pasture area statistics reported in PASTURELAND are based on agricultural censuses and remotely sensed imagery circa 2000.

PASTURELAND is available for every IPUMS-DHS sample with GPS data. 
 
PASTURELAND, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP" name="H_PRECIP" files="H" intrvl="discrete">
  <labl>Precipitation monthly time-series</labl>
  <imputation>Precipitation monthly time-series</imputation>
  <security>Precipitation monthly time-series</security>
  <embargo>Precipitation monthly time-series</embargo>
  <respUnit>Precipitation monthly time-series</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>PRECIP available</labl>
  </catgry>
  <txt>PRECIP consists of a set of 72 separate variables. These variables report the average precipitation in millimeters, received within a 10-kilometer circular buffer around each DHS cluster location, for the 60 individual months prior to the survey start date, the month of the survey start date, and the 11 individual months following the survey start date. Note that "average" precipitation here refers to averaging the monthly precipitation values for the various subareas included in the buffer zone. 
 
By adding PRECIP to your data cart, you are in effect adding 72 separate variables for:

the 60 individual months prior to the survey start date, denoted by the number of months prior to the survey start date (e.g., PRECIP_01 is the average precipitation in the month before the survey start date; PRECIP_60 is the average precipitation in the 60th month before the survey start date);
the month of the survey start date (PRECIP_00);
the 11 individual months following the month of the survey start date, denoted by the number of months following the month of the survey start date (e.g., PRECIP_A01 is the average precipitation in the month following the month of the survey start date).
 

The full set of monthly precipitation data, from January 1981 through August 2018, is available on the IPUMS-DHS contextual variables downloads [URL omitted from DDI.] page. Users can merge the precipitation data, available in csv format, with their IPUMS-DHS data extract to create average or total precipitation variables (e.g., average January precipitation, total 2017 precipitation), for the time frame suited to their research question.

For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_60" name="H_PRECIP_60" files="H" intrvl="discrete">
  <labl>Precipitation 60 months before survey start date</labl>
  <imputation>Precipitation 60 months before survey start date</imputation>
  <security>Precipitation 60 months before survey start date</security>
  <embargo>Precipitation 60 months before survey start date</embargo>
  <respUnit>Precipitation 60 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_59" name="H_PRECIP_59" files="H" intrvl="discrete">
  <labl>Precipitation 59 months before survey start date</labl>
  <imputation>Precipitation 59 months before survey start date</imputation>
  <security>Precipitation 59 months before survey start date</security>
  <embargo>Precipitation 59 months before survey start date</embargo>
  <respUnit>Precipitation 59 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_58" name="H_PRECIP_58" files="H" intrvl="discrete">
  <labl>Precipitation 58 months before survey start date</labl>
  <imputation>Precipitation 58 months before survey start date</imputation>
  <security>Precipitation 58 months before survey start date</security>
  <embargo>Precipitation 58 months before survey start date</embargo>
  <respUnit>Precipitation 58 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_57" name="H_PRECIP_57" files="H" intrvl="discrete">
  <labl>Precipitation 57 months before survey start date</labl>
  <imputation>Precipitation 57 months before survey start date</imputation>
  <security>Precipitation 57 months before survey start date</security>
  <embargo>Precipitation 57 months before survey start date</embargo>
  <respUnit>Precipitation 57 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_56" name="H_PRECIP_56" files="H" intrvl="discrete">
  <labl>Precipitation 56 months before survey start date</labl>
  <imputation>Precipitation 56 months before survey start date</imputation>
  <security>Precipitation 56 months before survey start date</security>
  <embargo>Precipitation 56 months before survey start date</embargo>
  <respUnit>Precipitation 56 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_55" name="H_PRECIP_55" files="H" intrvl="discrete">
  <labl>Precipitation 55 months before survey start date</labl>
  <imputation>Precipitation 55 months before survey start date</imputation>
  <security>Precipitation 55 months before survey start date</security>
  <embargo>Precipitation 55 months before survey start date</embargo>
  <respUnit>Precipitation 55 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_54" name="H_PRECIP_54" files="H" intrvl="discrete">
  <labl>Precipitation 54 months before survey start date</labl>
  <imputation>Precipitation 54 months before survey start date</imputation>
  <security>Precipitation 54 months before survey start date</security>
  <embargo>Precipitation 54 months before survey start date</embargo>
  <respUnit>Precipitation 54 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_53" name="H_PRECIP_53" files="H" intrvl="discrete">
  <labl>Precipitation 53 months before survey start date</labl>
  <imputation>Precipitation 53 months before survey start date</imputation>
  <security>Precipitation 53 months before survey start date</security>
  <embargo>Precipitation 53 months before survey start date</embargo>
  <respUnit>Precipitation 53 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_52" name="H_PRECIP_52" files="H" intrvl="discrete">
  <labl>Precipitation 52 months before survey start date</labl>
  <imputation>Precipitation 52 months before survey start date</imputation>
  <security>Precipitation 52 months before survey start date</security>
  <embargo>Precipitation 52 months before survey start date</embargo>
  <respUnit>Precipitation 52 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_51" name="H_PRECIP_51" files="H" intrvl="discrete">
  <labl>Precipitation 51 months before survey start date</labl>
  <imputation>Precipitation 51 months before survey start date</imputation>
  <security>Precipitation 51 months before survey start date</security>
  <embargo>Precipitation 51 months before survey start date</embargo>
  <respUnit>Precipitation 51 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_50" name="H_PRECIP_50" files="H" intrvl="discrete">
  <labl>Precipitation 50 months before survey start date</labl>
  <imputation>Precipitation 50 months before survey start date</imputation>
  <security>Precipitation 50 months before survey start date</security>
  <embargo>Precipitation 50 months before survey start date</embargo>
  <respUnit>Precipitation 50 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_49" name="H_PRECIP_49" files="H" intrvl="discrete">
  <labl>Precipitation 49 months before survey start date</labl>
  <imputation>Precipitation 49 months before survey start date</imputation>
  <security>Precipitation 49 months before survey start date</security>
  <embargo>Precipitation 49 months before survey start date</embargo>
  <respUnit>Precipitation 49 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_48" name="H_PRECIP_48" files="H" intrvl="discrete">
  <labl>Precipitation 48 months before survey start date</labl>
  <imputation>Precipitation 48 months before survey start date</imputation>
  <security>Precipitation 48 months before survey start date</security>
  <embargo>Precipitation 48 months before survey start date</embargo>
  <respUnit>Precipitation 48 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_47" name="H_PRECIP_47" files="H" intrvl="discrete">
  <labl>Precipitation 47 months before survey start date</labl>
  <imputation>Precipitation 47 months before survey start date</imputation>
  <security>Precipitation 47 months before survey start date</security>
  <embargo>Precipitation 47 months before survey start date</embargo>
  <respUnit>Precipitation 47 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_46" name="H_PRECIP_46" files="H" intrvl="discrete">
  <labl>Precipitation 46 months before survey start date</labl>
  <imputation>Precipitation 46 months before survey start date</imputation>
  <security>Precipitation 46 months before survey start date</security>
  <embargo>Precipitation 46 months before survey start date</embargo>
  <respUnit>Precipitation 46 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_45" name="H_PRECIP_45" files="H" intrvl="discrete">
  <labl>Precipitation 45 months before survey start date</labl>
  <imputation>Precipitation 45 months before survey start date</imputation>
  <security>Precipitation 45 months before survey start date</security>
  <embargo>Precipitation 45 months before survey start date</embargo>
  <respUnit>Precipitation 45 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_44" name="H_PRECIP_44" files="H" intrvl="discrete">
  <labl>Precipitation 44 months before survey start date</labl>
  <imputation>Precipitation 44 months before survey start date</imputation>
  <security>Precipitation 44 months before survey start date</security>
  <embargo>Precipitation 44 months before survey start date</embargo>
  <respUnit>Precipitation 44 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_43" name="H_PRECIP_43" files="H" intrvl="discrete">
  <labl>Precipitation 43 months before survey start date</labl>
  <imputation>Precipitation 43 months before survey start date</imputation>
  <security>Precipitation 43 months before survey start date</security>
  <embargo>Precipitation 43 months before survey start date</embargo>
  <respUnit>Precipitation 43 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_42" name="H_PRECIP_42" files="H" intrvl="discrete">
  <labl>Precipitation 42 months before survey start date</labl>
  <imputation>Precipitation 42 months before survey start date</imputation>
  <security>Precipitation 42 months before survey start date</security>
  <embargo>Precipitation 42 months before survey start date</embargo>
  <respUnit>Precipitation 42 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_41" name="H_PRECIP_41" files="H" intrvl="discrete">
  <labl>Precipitation 41 months before survey start date</labl>
  <imputation>Precipitation 41 months before survey start date</imputation>
  <security>Precipitation 41 months before survey start date</security>
  <embargo>Precipitation 41 months before survey start date</embargo>
  <respUnit>Precipitation 41 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_40" name="H_PRECIP_40" files="H" intrvl="discrete">
  <labl>Precipitation 40 months before survey start date</labl>
  <imputation>Precipitation 40 months before survey start date</imputation>
  <security>Precipitation 40 months before survey start date</security>
  <embargo>Precipitation 40 months before survey start date</embargo>
  <respUnit>Precipitation 40 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_39" name="H_PRECIP_39" files="H" intrvl="discrete">
  <labl>Precipitation 39 months before survey start date</labl>
  <imputation>Precipitation 39 months before survey start date</imputation>
  <security>Precipitation 39 months before survey start date</security>
  <embargo>Precipitation 39 months before survey start date</embargo>
  <respUnit>Precipitation 39 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_38" name="H_PRECIP_38" files="H" intrvl="discrete">
  <labl>Precipitation 38 months before survey start date</labl>
  <imputation>Precipitation 38 months before survey start date</imputation>
  <security>Precipitation 38 months before survey start date</security>
  <embargo>Precipitation 38 months before survey start date</embargo>
  <respUnit>Precipitation 38 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_37" name="H_PRECIP_37" files="H" intrvl="discrete">
  <labl>Precipitation 37 months before survey start date</labl>
  <imputation>Precipitation 37 months before survey start date</imputation>
  <security>Precipitation 37 months before survey start date</security>
  <embargo>Precipitation 37 months before survey start date</embargo>
  <respUnit>Precipitation 37 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_36" name="H_PRECIP_36" files="H" intrvl="discrete">
  <labl>Precipitation 36 months before survey start date</labl>
  <imputation>Precipitation 36 months before survey start date</imputation>
  <security>Precipitation 36 months before survey start date</security>
  <embargo>Precipitation 36 months before survey start date</embargo>
  <respUnit>Precipitation 36 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_35" name="H_PRECIP_35" files="H" intrvl="discrete">
  <labl>Precipitation 35 months before survey start date</labl>
  <imputation>Precipitation 35 months before survey start date</imputation>
  <security>Precipitation 35 months before survey start date</security>
  <embargo>Precipitation 35 months before survey start date</embargo>
  <respUnit>Precipitation 35 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_34" name="H_PRECIP_34" files="H" intrvl="discrete">
  <labl>Precipitation 34 months before survey start date</labl>
  <imputation>Precipitation 34 months before survey start date</imputation>
  <security>Precipitation 34 months before survey start date</security>
  <embargo>Precipitation 34 months before survey start date</embargo>
  <respUnit>Precipitation 34 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_33" name="H_PRECIP_33" files="H" intrvl="discrete">
  <labl>Precipitation 33 months before survey start date</labl>
  <imputation>Precipitation 33 months before survey start date</imputation>
  <security>Precipitation 33 months before survey start date</security>
  <embargo>Precipitation 33 months before survey start date</embargo>
  <respUnit>Precipitation 33 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_32" name="H_PRECIP_32" files="H" intrvl="discrete">
  <labl>Precipitation 32 months before survey start date</labl>
  <imputation>Precipitation 32 months before survey start date</imputation>
  <security>Precipitation 32 months before survey start date</security>
  <embargo>Precipitation 32 months before survey start date</embargo>
  <respUnit>Precipitation 32 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_31" name="H_PRECIP_31" files="H" intrvl="discrete">
  <labl>Precipitation 31 months before survey start date</labl>
  <imputation>Precipitation 31 months before survey start date</imputation>
  <security>Precipitation 31 months before survey start date</security>
  <embargo>Precipitation 31 months before survey start date</embargo>
  <respUnit>Precipitation 31 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_30" name="H_PRECIP_30" files="H" intrvl="discrete">
  <labl>Precipitation 30 months before survey start date</labl>
  <imputation>Precipitation 30 months before survey start date</imputation>
  <security>Precipitation 30 months before survey start date</security>
  <embargo>Precipitation 30 months before survey start date</embargo>
  <respUnit>Precipitation 30 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_29" name="H_PRECIP_29" files="H" intrvl="discrete">
  <labl>Precipitation 29 months before survey start date</labl>
  <imputation>Precipitation 29 months before survey start date</imputation>
  <security>Precipitation 29 months before survey start date</security>
  <embargo>Precipitation 29 months before survey start date</embargo>
  <respUnit>Precipitation 29 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_28" name="H_PRECIP_28" files="H" intrvl="discrete">
  <labl>Precipitation 28 months before survey start date</labl>
  <imputation>Precipitation 28 months before survey start date</imputation>
  <security>Precipitation 28 months before survey start date</security>
  <embargo>Precipitation 28 months before survey start date</embargo>
  <respUnit>Precipitation 28 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_27" name="H_PRECIP_27" files="H" intrvl="discrete">
  <labl>Precipitation 27 months before survey start date</labl>
  <imputation>Precipitation 27 months before survey start date</imputation>
  <security>Precipitation 27 months before survey start date</security>
  <embargo>Precipitation 27 months before survey start date</embargo>
  <respUnit>Precipitation 27 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_26" name="H_PRECIP_26" files="H" intrvl="discrete">
  <labl>Precipitation 26 months before survey start date</labl>
  <imputation>Precipitation 26 months before survey start date</imputation>
  <security>Precipitation 26 months before survey start date</security>
  <embargo>Precipitation 26 months before survey start date</embargo>
  <respUnit>Precipitation 26 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_25" name="H_PRECIP_25" files="H" intrvl="discrete">
  <labl>Precipitation 25 months before survey start date</labl>
  <imputation>Precipitation 25 months before survey start date</imputation>
  <security>Precipitation 25 months before survey start date</security>
  <embargo>Precipitation 25 months before survey start date</embargo>
  <respUnit>Precipitation 25 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_24" name="H_PRECIP_24" files="H" intrvl="discrete">
  <labl>Precipitation 24 months before survey start date</labl>
  <imputation>Precipitation 24 months before survey start date</imputation>
  <security>Precipitation 24 months before survey start date</security>
  <embargo>Precipitation 24 months before survey start date</embargo>
  <respUnit>Precipitation 24 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_23" name="H_PRECIP_23" files="H" intrvl="discrete">
  <labl>Precipitation 23 months before survey start date</labl>
  <imputation>Precipitation 23 months before survey start date</imputation>
  <security>Precipitation 23 months before survey start date</security>
  <embargo>Precipitation 23 months before survey start date</embargo>
  <respUnit>Precipitation 23 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_22" name="H_PRECIP_22" files="H" intrvl="discrete">
  <labl>Precipitation 22 months before survey start date</labl>
  <imputation>Precipitation 22 months before survey start date</imputation>
  <security>Precipitation 22 months before survey start date</security>
  <embargo>Precipitation 22 months before survey start date</embargo>
  <respUnit>Precipitation 22 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_21" name="H_PRECIP_21" files="H" intrvl="discrete">
  <labl>Precipitation 21 months before survey start date</labl>
  <imputation>Precipitation 21 months before survey start date</imputation>
  <security>Precipitation 21 months before survey start date</security>
  <embargo>Precipitation 21 months before survey start date</embargo>
  <respUnit>Precipitation 21 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_20" name="H_PRECIP_20" files="H" intrvl="discrete">
  <labl>Precipitation 20 months before survey start date</labl>
  <imputation>Precipitation 20 months before survey start date</imputation>
  <security>Precipitation 20 months before survey start date</security>
  <embargo>Precipitation 20 months before survey start date</embargo>
  <respUnit>Precipitation 20 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_19" name="H_PRECIP_19" files="H" intrvl="discrete">
  <labl>Precipitation 19 months before survey start date</labl>
  <imputation>Precipitation 19 months before survey start date</imputation>
  <security>Precipitation 19 months before survey start date</security>
  <embargo>Precipitation 19 months before survey start date</embargo>
  <respUnit>Precipitation 19 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_18" name="H_PRECIP_18" files="H" intrvl="discrete">
  <labl>Precipitation 18 months before survey start date</labl>
  <imputation>Precipitation 18 months before survey start date</imputation>
  <security>Precipitation 18 months before survey start date</security>
  <embargo>Precipitation 18 months before survey start date</embargo>
  <respUnit>Precipitation 18 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_17" name="H_PRECIP_17" files="H" intrvl="discrete">
  <labl>Precipitation 17 months before survey start date</labl>
  <imputation>Precipitation 17 months before survey start date</imputation>
  <security>Precipitation 17 months before survey start date</security>
  <embargo>Precipitation 17 months before survey start date</embargo>
  <respUnit>Precipitation 17 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_16" name="H_PRECIP_16" files="H" intrvl="discrete">
  <labl>Precipitation 16 months before survey start date</labl>
  <imputation>Precipitation 16 months before survey start date</imputation>
  <security>Precipitation 16 months before survey start date</security>
  <embargo>Precipitation 16 months before survey start date</embargo>
  <respUnit>Precipitation 16 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_15" name="H_PRECIP_15" files="H" intrvl="discrete">
  <labl>Precipitation 15 months before survey start date</labl>
  <imputation>Precipitation 15 months before survey start date</imputation>
  <security>Precipitation 15 months before survey start date</security>
  <embargo>Precipitation 15 months before survey start date</embargo>
  <respUnit>Precipitation 15 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_14" name="H_PRECIP_14" files="H" intrvl="discrete">
  <labl>Precipitation 14 months before survey start date</labl>
  <imputation>Precipitation 14 months before survey start date</imputation>
  <security>Precipitation 14 months before survey start date</security>
  <embargo>Precipitation 14 months before survey start date</embargo>
  <respUnit>Precipitation 14 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_13" name="H_PRECIP_13" files="H" intrvl="discrete">
  <labl>Precipitation 13 months before survey start date</labl>
  <imputation>Precipitation 13 months before survey start date</imputation>
  <security>Precipitation 13 months before survey start date</security>
  <embargo>Precipitation 13 months before survey start date</embargo>
  <respUnit>Precipitation 13 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_12" name="H_PRECIP_12" files="H" intrvl="discrete">
  <labl>Precipitation 12 months before survey start date</labl>
  <imputation>Precipitation 12 months before survey start date</imputation>
  <security>Precipitation 12 months before survey start date</security>
  <embargo>Precipitation 12 months before survey start date</embargo>
  <respUnit>Precipitation 12 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_11" name="H_PRECIP_11" files="H" intrvl="discrete">
  <labl>Precipitation 11 months before survey start date</labl>
  <imputation>Precipitation 11 months before survey start date</imputation>
  <security>Precipitation 11 months before survey start date</security>
  <embargo>Precipitation 11 months before survey start date</embargo>
  <respUnit>Precipitation 11 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_10" name="H_PRECIP_10" files="H" intrvl="discrete">
  <labl>Precipitation 10 months before survey start date</labl>
  <imputation>Precipitation 10 months before survey start date</imputation>
  <security>Precipitation 10 months before survey start date</security>
  <embargo>Precipitation 10 months before survey start date</embargo>
  <respUnit>Precipitation 10 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_09" name="H_PRECIP_09" files="H" intrvl="discrete">
  <labl>Precipitation 9 months before survey start date</labl>
  <imputation>Precipitation 9 months before survey start date</imputation>
  <security>Precipitation 9 months before survey start date</security>
  <embargo>Precipitation 9 months before survey start date</embargo>
  <respUnit>Precipitation 9 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_08" name="H_PRECIP_08" files="H" intrvl="discrete">
  <labl>Precipitation 8 months before survey start date</labl>
  <imputation>Precipitation 8 months before survey start date</imputation>
  <security>Precipitation 8 months before survey start date</security>
  <embargo>Precipitation 8 months before survey start date</embargo>
  <respUnit>Precipitation 8 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_07" name="H_PRECIP_07" files="H" intrvl="discrete">
  <labl>Precipitation 7 months before survey start date</labl>
  <imputation>Precipitation 7 months before survey start date</imputation>
  <security>Precipitation 7 months before survey start date</security>
  <embargo>Precipitation 7 months before survey start date</embargo>
  <respUnit>Precipitation 7 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_06" name="H_PRECIP_06" files="H" intrvl="discrete">
  <labl>Precipitation 6 months before survey start date</labl>
  <imputation>Precipitation 6 months before survey start date</imputation>
  <security>Precipitation 6 months before survey start date</security>
  <embargo>Precipitation 6 months before survey start date</embargo>
  <respUnit>Precipitation 6 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_05" name="H_PRECIP_05" files="H" intrvl="discrete">
  <labl>Precipitation 5 months before survey start date</labl>
  <imputation>Precipitation 5 months before survey start date</imputation>
  <security>Precipitation 5 months before survey start date</security>
  <embargo>Precipitation 5 months before survey start date</embargo>
  <respUnit>Precipitation 5 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_04" name="H_PRECIP_04" files="H" intrvl="discrete">
  <labl>Precipitation 4 months before survey start date</labl>
  <imputation>Precipitation 4 months before survey start date</imputation>
  <security>Precipitation 4 months before survey start date</security>
  <embargo>Precipitation 4 months before survey start date</embargo>
  <respUnit>Precipitation 4 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_03" name="H_PRECIP_03" files="H" intrvl="discrete">
  <labl>Precipitation 3 months before survey start date</labl>
  <imputation>Precipitation 3 months before survey start date</imputation>
  <security>Precipitation 3 months before survey start date</security>
  <embargo>Precipitation 3 months before survey start date</embargo>
  <respUnit>Precipitation 3 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_02" name="H_PRECIP_02" files="H" intrvl="discrete">
  <labl>Precipitation 2 months before survey start date</labl>
  <imputation>Precipitation 2 months before survey start date</imputation>
  <security>Precipitation 2 months before survey start date</security>
  <embargo>Precipitation 2 months before survey start date</embargo>
  <respUnit>Precipitation 2 months before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_01" name="H_PRECIP_01" files="H" intrvl="discrete">
  <labl>Precipitation 1 month before survey start date</labl>
  <imputation>Precipitation 1 month before survey start date</imputation>
  <security>Precipitation 1 month before survey start date</security>
  <embargo>Precipitation 1 month before survey start date</embargo>
  <respUnit>Precipitation 1 month before survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_00" name="H_PRECIP_00" files="H" intrvl="discrete">
  <labl>Precipitation month of survey start date</labl>
  <imputation>Precipitation month of survey start date</imputation>
  <security>Precipitation month of survey start date</security>
  <embargo>Precipitation month of survey start date</embargo>
  <respUnit>Precipitation month of survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_A01" name="H_PRECIP_A01" files="H" intrvl="discrete">
  <labl>Precipitation 1 month after survey start date</labl>
  <imputation>Precipitation 1 month after survey start date</imputation>
  <security>Precipitation 1 month after survey start date</security>
  <embargo>Precipitation 1 month after survey start date</embargo>
  <respUnit>Precipitation 1 month after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_A02" name="H_PRECIP_A02" files="H" intrvl="discrete">
  <labl>Precipitation 2 months after survey start date</labl>
  <imputation>Precipitation 2 months after survey start date</imputation>
  <security>Precipitation 2 months after survey start date</security>
  <embargo>Precipitation 2 months after survey start date</embargo>
  <respUnit>Precipitation 2 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_A03" name="H_PRECIP_A03" files="H" intrvl="discrete">
  <labl>Precipitation 3 months after survey start date</labl>
  <imputation>Precipitation 3 months after survey start date</imputation>
  <security>Precipitation 3 months after survey start date</security>
  <embargo>Precipitation 3 months after survey start date</embargo>
  <respUnit>Precipitation 3 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_A04" name="H_PRECIP_A04" files="H" intrvl="discrete">
  <labl>Precipitation 4 months after survey start date</labl>
  <imputation>Precipitation 4 months after survey start date</imputation>
  <security>Precipitation 4 months after survey start date</security>
  <embargo>Precipitation 4 months after survey start date</embargo>
  <respUnit>Precipitation 4 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_A05" name="H_PRECIP_A05" files="H" intrvl="discrete">
  <labl>Precipitation 5 months after survey start date</labl>
  <imputation>Precipitation 5 months after survey start date</imputation>
  <security>Precipitation 5 months after survey start date</security>
  <embargo>Precipitation 5 months after survey start date</embargo>
  <respUnit>Precipitation 5 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_A06" name="H_PRECIP_A06" files="H" intrvl="discrete">
  <labl>Precipitation 6 months after survey start date</labl>
  <imputation>Precipitation 6 months after survey start date</imputation>
  <security>Precipitation 6 months after survey start date</security>
  <embargo>Precipitation 6 months after survey start date</embargo>
  <respUnit>Precipitation 6 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_A07" name="H_PRECIP_A07" files="H" intrvl="discrete">
  <labl>Precipitation 7 months after survey start date</labl>
  <imputation>Precipitation 7 months after survey start date</imputation>
  <security>Precipitation 7 months after survey start date</security>
  <embargo>Precipitation 7 months after survey start date</embargo>
  <respUnit>Precipitation 7 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_A08" name="H_PRECIP_A08" files="H" intrvl="discrete">
  <labl>Precipitation 8 months after survey start date</labl>
  <imputation>Precipitation 8 months after survey start date</imputation>
  <security>Precipitation 8 months after survey start date</security>
  <embargo>Precipitation 8 months after survey start date</embargo>
  <respUnit>Precipitation 8 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_A09" name="H_PRECIP_A09" files="H" intrvl="discrete">
  <labl>Precipitation 9 months after survey start date</labl>
  <imputation>Precipitation 9 months after survey start date</imputation>
  <security>Precipitation 9 months after survey start date</security>
  <embargo>Precipitation 9 months after survey start date</embargo>
  <respUnit>Precipitation 9 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_A10" name="H_PRECIP_A10" files="H" intrvl="discrete">
  <labl>Precipitation 10 months after survey start date</labl>
  <imputation>Precipitation 10 months after survey start date</imputation>
  <security>Precipitation 10 months after survey start date</security>
  <embargo>Precipitation 10 months after survey start date</embargo>
  <respUnit>Precipitation 10 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_PRECIP_A11" name="H_PRECIP_A11" files="H" intrvl="discrete">
  <labl>Precipitation 11 months after survey start date</labl>
  <imputation>Precipitation 11 months after survey start date</imputation>
  <security>Precipitation 11 months after survey start date</security>
  <embargo>Precipitation 11 months after survey start date</embargo>
  <respUnit>Precipitation 11 months after survey start date</respUnit>
  <catgry>
    <catValu>-0000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN" name="H_TEMPMIN" files="H" intrvl="discrete">
  <labl>Average minimum monthly temperature</labl>
  <imputation>Average minimum monthly temperature</imputation>
  <security>Average minimum monthly temperature</security>
  <embargo>Average minimum monthly temperature</embargo>
  <respUnit>Average minimum monthly temperature</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>TEMPMAX available</labl>
  </catgry>
  <txt>TEMPMIN consists of a set of 72 separate variables reporting minimum monthly temperatures. These variables report the average minimum temperature in kelvin scale, within a 10-kilometer circular buffer around each DHS cluster location, for the 60 individual months prior to the survey start date, the month of the survey start date, and the 11 individual months following the survey start date. Note that "average" minimum temperature here refers to averaging the minimum temperature values for the various subareas included in the buffer zone.
 
By adding TEMPMIN to your data cart, you are in effect adding 72 separate variables for:

the 60 individual months prior to the survey start date, denoted by the number of months prior to the survey start date (e.g., TEMPMIN_01 is the average minimum temperature in the month before the survey start date; TEMPMIN _60 is the average minimum temperature in the 60th month before the survey start date)
the month of the survey start date (TEMPMIN _00)
the 11 individual months following the month of the survey start date, denoted by the number of months following the month of the survey start date (e.g., TEMPMIN_A01 is the average minimum temperature in the month following the month of the survey start date)
 

The full set of monthly temperature data, from January 1980 through December 2016, is available on the IPUMS-DHS contextual variables downloads [URL omitted from DDI.] page. Users can merge the temperature data, available in csv format, with their IPUMS-DHS data extract to create average or total precipitation variables (e.g., average minimum January temperature), for the time frame suited to their research question.

For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_60" name="H_TEMPMIN_60" files="H" intrvl="discrete">
  <labl>Average minimum temperature 60 months before survey start date</labl>
  <imputation>Average minimum temperature 60 months before survey start date</imputation>
  <security>Average minimum temperature 60 months before survey start date</security>
  <embargo>Average minimum temperature 60 months before survey start date</embargo>
  <respUnit>Average minimum temperature 60 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_59" name="H_TEMPMIN_59" files="H" intrvl="discrete">
  <labl>Average minimum temperature 59 months before survey start date</labl>
  <imputation>Average minimum temperature 59 months before survey start date</imputation>
  <security>Average minimum temperature 59 months before survey start date</security>
  <embargo>Average minimum temperature 59 months before survey start date</embargo>
  <respUnit>Average minimum temperature 59 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_58" name="H_TEMPMIN_58" files="H" intrvl="discrete">
  <labl>Average minimum temperature 58 months before survey start date</labl>
  <imputation>Average minimum temperature 58 months before survey start date</imputation>
  <security>Average minimum temperature 58 months before survey start date</security>
  <embargo>Average minimum temperature 58 months before survey start date</embargo>
  <respUnit>Average minimum temperature 58 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_57" name="H_TEMPMIN_57" files="H" intrvl="discrete">
  <labl>Average minimum temperature 57 months before survey start date</labl>
  <imputation>Average minimum temperature 57 months before survey start date</imputation>
  <security>Average minimum temperature 57 months before survey start date</security>
  <embargo>Average minimum temperature 57 months before survey start date</embargo>
  <respUnit>Average minimum temperature 57 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_56" name="H_TEMPMIN_56" files="H" intrvl="discrete">
  <labl>Average minimum temperature 56 months before survey start date</labl>
  <imputation>Average minimum temperature 56 months before survey start date</imputation>
  <security>Average minimum temperature 56 months before survey start date</security>
  <embargo>Average minimum temperature 56 months before survey start date</embargo>
  <respUnit>Average minimum temperature 56 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_55" name="H_TEMPMIN_55" files="H" intrvl="discrete">
  <labl>Average minimum temperature 55 months before survey start date</labl>
  <imputation>Average minimum temperature 55 months before survey start date</imputation>
  <security>Average minimum temperature 55 months before survey start date</security>
  <embargo>Average minimum temperature 55 months before survey start date</embargo>
  <respUnit>Average minimum temperature 55 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_54" name="H_TEMPMIN_54" files="H" intrvl="discrete">
  <labl>Average minimum temperature 54 months before survey start date</labl>
  <imputation>Average minimum temperature 54 months before survey start date</imputation>
  <security>Average minimum temperature 54 months before survey start date</security>
  <embargo>Average minimum temperature 54 months before survey start date</embargo>
  <respUnit>Average minimum temperature 54 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_53" name="H_TEMPMIN_53" files="H" intrvl="discrete">
  <labl>Average minimum temperature 53 months before survey start date</labl>
  <imputation>Average minimum temperature 53 months before survey start date</imputation>
  <security>Average minimum temperature 53 months before survey start date</security>
  <embargo>Average minimum temperature 53 months before survey start date</embargo>
  <respUnit>Average minimum temperature 53 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_52" name="H_TEMPMIN_52" files="H" intrvl="discrete">
  <labl>Average minimum temperature 52 months before survey start date</labl>
  <imputation>Average minimum temperature 52 months before survey start date</imputation>
  <security>Average minimum temperature 52 months before survey start date</security>
  <embargo>Average minimum temperature 52 months before survey start date</embargo>
  <respUnit>Average minimum temperature 52 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_51" name="H_TEMPMIN_51" files="H" intrvl="discrete">
  <labl>Average minimum temperature 51 months before survey start date</labl>
  <imputation>Average minimum temperature 51 months before survey start date</imputation>
  <security>Average minimum temperature 51 months before survey start date</security>
  <embargo>Average minimum temperature 51 months before survey start date</embargo>
  <respUnit>Average minimum temperature 51 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_50" name="H_TEMPMIN_50" files="H" intrvl="discrete">
  <labl>Average minimum temperature 50 months before survey start date</labl>
  <imputation>Average minimum temperature 50 months before survey start date</imputation>
  <security>Average minimum temperature 50 months before survey start date</security>
  <embargo>Average minimum temperature 50 months before survey start date</embargo>
  <respUnit>Average minimum temperature 50 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_49" name="H_TEMPMIN_49" files="H" intrvl="discrete">
  <labl>Average minimum temperature 49 months before survey start date</labl>
  <imputation>Average minimum temperature 49 months before survey start date</imputation>
  <security>Average minimum temperature 49 months before survey start date</security>
  <embargo>Average minimum temperature 49 months before survey start date</embargo>
  <respUnit>Average minimum temperature 49 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_48" name="H_TEMPMIN_48" files="H" intrvl="discrete">
  <labl>Average minimum temperature 48 months before survey start date</labl>
  <imputation>Average minimum temperature 48 months before survey start date</imputation>
  <security>Average minimum temperature 48 months before survey start date</security>
  <embargo>Average minimum temperature 48 months before survey start date</embargo>
  <respUnit>Average minimum temperature 48 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_47" name="H_TEMPMIN_47" files="H" intrvl="discrete">
  <labl>Average minimum temperature 47 months before survey start date</labl>
  <imputation>Average minimum temperature 47 months before survey start date</imputation>
  <security>Average minimum temperature 47 months before survey start date</security>
  <embargo>Average minimum temperature 47 months before survey start date</embargo>
  <respUnit>Average minimum temperature 47 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_46" name="H_TEMPMIN_46" files="H" intrvl="discrete">
  <labl>Average minimum temperature 46 months before survey start date</labl>
  <imputation>Average minimum temperature 46 months before survey start date</imputation>
  <security>Average minimum temperature 46 months before survey start date</security>
  <embargo>Average minimum temperature 46 months before survey start date</embargo>
  <respUnit>Average minimum temperature 46 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_45" name="H_TEMPMIN_45" files="H" intrvl="discrete">
  <labl>Average minimum temperature 45 months before survey start date</labl>
  <imputation>Average minimum temperature 45 months before survey start date</imputation>
  <security>Average minimum temperature 45 months before survey start date</security>
  <embargo>Average minimum temperature 45 months before survey start date</embargo>
  <respUnit>Average minimum temperature 45 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_44" name="H_TEMPMIN_44" files="H" intrvl="discrete">
  <labl>Average minimum temperature 44 months before survey start date</labl>
  <imputation>Average minimum temperature 44 months before survey start date</imputation>
  <security>Average minimum temperature 44 months before survey start date</security>
  <embargo>Average minimum temperature 44 months before survey start date</embargo>
  <respUnit>Average minimum temperature 44 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_43" name="H_TEMPMIN_43" files="H" intrvl="discrete">
  <labl>Average minimum temperature 43 months before survey start date</labl>
  <imputation>Average minimum temperature 43 months before survey start date</imputation>
  <security>Average minimum temperature 43 months before survey start date</security>
  <embargo>Average minimum temperature 43 months before survey start date</embargo>
  <respUnit>Average minimum temperature 43 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_42" name="H_TEMPMIN_42" files="H" intrvl="discrete">
  <labl>Average minimum temperature 42 months before survey start date</labl>
  <imputation>Average minimum temperature 42 months before survey start date</imputation>
  <security>Average minimum temperature 42 months before survey start date</security>
  <embargo>Average minimum temperature 42 months before survey start date</embargo>
  <respUnit>Average minimum temperature 42 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_41" name="H_TEMPMIN_41" files="H" intrvl="discrete">
  <labl>Average minimum temperature 41 months before survey start date</labl>
  <imputation>Average minimum temperature 41 months before survey start date</imputation>
  <security>Average minimum temperature 41 months before survey start date</security>
  <embargo>Average minimum temperature 41 months before survey start date</embargo>
  <respUnit>Average minimum temperature 41 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_40" name="H_TEMPMIN_40" files="H" intrvl="discrete">
  <labl>Average minimum temperature 40 months before survey start date</labl>
  <imputation>Average minimum temperature 40 months before survey start date</imputation>
  <security>Average minimum temperature 40 months before survey start date</security>
  <embargo>Average minimum temperature 40 months before survey start date</embargo>
  <respUnit>Average minimum temperature 40 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_39" name="H_TEMPMIN_39" files="H" intrvl="discrete">
  <labl>Average minimum temperature 39 months before survey start date</labl>
  <imputation>Average minimum temperature 39 months before survey start date</imputation>
  <security>Average minimum temperature 39 months before survey start date</security>
  <embargo>Average minimum temperature 39 months before survey start date</embargo>
  <respUnit>Average minimum temperature 39 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_38" name="H_TEMPMIN_38" files="H" intrvl="discrete">
  <labl>Average minimum temperature 38 months before survey start date</labl>
  <imputation>Average minimum temperature 38 months before survey start date</imputation>
  <security>Average minimum temperature 38 months before survey start date</security>
  <embargo>Average minimum temperature 38 months before survey start date</embargo>
  <respUnit>Average minimum temperature 38 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_37" name="H_TEMPMIN_37" files="H" intrvl="discrete">
  <labl>Average minimum temperature 37 months before survey start date</labl>
  <imputation>Average minimum temperature 37 months before survey start date</imputation>
  <security>Average minimum temperature 37 months before survey start date</security>
  <embargo>Average minimum temperature 37 months before survey start date</embargo>
  <respUnit>Average minimum temperature 37 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_36" name="H_TEMPMIN_36" files="H" intrvl="discrete">
  <labl>Average minimum temperature 36 months before survey start date</labl>
  <imputation>Average minimum temperature 36 months before survey start date</imputation>
  <security>Average minimum temperature 36 months before survey start date</security>
  <embargo>Average minimum temperature 36 months before survey start date</embargo>
  <respUnit>Average minimum temperature 36 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_35" name="H_TEMPMIN_35" files="H" intrvl="discrete">
  <labl>Average minimum temperature 35 months before survey start date</labl>
  <imputation>Average minimum temperature 35 months before survey start date</imputation>
  <security>Average minimum temperature 35 months before survey start date</security>
  <embargo>Average minimum temperature 35 months before survey start date</embargo>
  <respUnit>Average minimum temperature 35 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_34" name="H_TEMPMIN_34" files="H" intrvl="discrete">
  <labl>Average minimum temperature 34 months before survey start date</labl>
  <imputation>Average minimum temperature 34 months before survey start date</imputation>
  <security>Average minimum temperature 34 months before survey start date</security>
  <embargo>Average minimum temperature 34 months before survey start date</embargo>
  <respUnit>Average minimum temperature 34 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_33" name="H_TEMPMIN_33" files="H" intrvl="discrete">
  <labl>Average minimum temperature 33 months before survey start date</labl>
  <imputation>Average minimum temperature 33 months before survey start date</imputation>
  <security>Average minimum temperature 33 months before survey start date</security>
  <embargo>Average minimum temperature 33 months before survey start date</embargo>
  <respUnit>Average minimum temperature 33 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_32" name="H_TEMPMIN_32" files="H" intrvl="discrete">
  <labl>Average minimum temperature 32 months before survey start date</labl>
  <imputation>Average minimum temperature 32 months before survey start date</imputation>
  <security>Average minimum temperature 32 months before survey start date</security>
  <embargo>Average minimum temperature 32 months before survey start date</embargo>
  <respUnit>Average minimum temperature 32 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_31" name="H_TEMPMIN_31" files="H" intrvl="discrete">
  <labl>Average minimum temperature 31 months before survey start date</labl>
  <imputation>Average minimum temperature 31 months before survey start date</imputation>
  <security>Average minimum temperature 31 months before survey start date</security>
  <embargo>Average minimum temperature 31 months before survey start date</embargo>
  <respUnit>Average minimum temperature 31 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_30" name="H_TEMPMIN_30" files="H" intrvl="discrete">
  <labl>Average minimum temperature 30 months before survey start date</labl>
  <imputation>Average minimum temperature 30 months before survey start date</imputation>
  <security>Average minimum temperature 30 months before survey start date</security>
  <embargo>Average minimum temperature 30 months before survey start date</embargo>
  <respUnit>Average minimum temperature 30 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_29" name="H_TEMPMIN_29" files="H" intrvl="discrete">
  <labl>Average minimum temperature 29 months before survey start date</labl>
  <imputation>Average minimum temperature 29 months before survey start date</imputation>
  <security>Average minimum temperature 29 months before survey start date</security>
  <embargo>Average minimum temperature 29 months before survey start date</embargo>
  <respUnit>Average minimum temperature 29 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_28" name="H_TEMPMIN_28" files="H" intrvl="discrete">
  <labl>Average minimum temperature 28 months before survey start date</labl>
  <imputation>Average minimum temperature 28 months before survey start date</imputation>
  <security>Average minimum temperature 28 months before survey start date</security>
  <embargo>Average minimum temperature 28 months before survey start date</embargo>
  <respUnit>Average minimum temperature 28 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_27" name="H_TEMPMIN_27" files="H" intrvl="discrete">
  <labl>Average minimum temperature 27 months before survey start date</labl>
  <imputation>Average minimum temperature 27 months before survey start date</imputation>
  <security>Average minimum temperature 27 months before survey start date</security>
  <embargo>Average minimum temperature 27 months before survey start date</embargo>
  <respUnit>Average minimum temperature 27 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_26" name="H_TEMPMIN_26" files="H" intrvl="discrete">
  <labl>Average minimum temperature 26 months before survey start date</labl>
  <imputation>Average minimum temperature 26 months before survey start date</imputation>
  <security>Average minimum temperature 26 months before survey start date</security>
  <embargo>Average minimum temperature 26 months before survey start date</embargo>
  <respUnit>Average minimum temperature 26 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_25" name="H_TEMPMIN_25" files="H" intrvl="discrete">
  <labl>Average minimum temperature 25 months before survey start date</labl>
  <imputation>Average minimum temperature 25 months before survey start date</imputation>
  <security>Average minimum temperature 25 months before survey start date</security>
  <embargo>Average minimum temperature 25 months before survey start date</embargo>
  <respUnit>Average minimum temperature 25 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_24" name="H_TEMPMIN_24" files="H" intrvl="discrete">
  <labl>Average minimum temperature 24 months before survey start date</labl>
  <imputation>Average minimum temperature 24 months before survey start date</imputation>
  <security>Average minimum temperature 24 months before survey start date</security>
  <embargo>Average minimum temperature 24 months before survey start date</embargo>
  <respUnit>Average minimum temperature 24 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_23" name="H_TEMPMIN_23" files="H" intrvl="discrete">
  <labl>Average minimum temperature 23 months before survey start date</labl>
  <imputation>Average minimum temperature 23 months before survey start date</imputation>
  <security>Average minimum temperature 23 months before survey start date</security>
  <embargo>Average minimum temperature 23 months before survey start date</embargo>
  <respUnit>Average minimum temperature 23 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_22" name="H_TEMPMIN_22" files="H" intrvl="discrete">
  <labl>Average minimum temperature 22 months before survey start date</labl>
  <imputation>Average minimum temperature 22 months before survey start date</imputation>
  <security>Average minimum temperature 22 months before survey start date</security>
  <embargo>Average minimum temperature 22 months before survey start date</embargo>
  <respUnit>Average minimum temperature 22 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_21" name="H_TEMPMIN_21" files="H" intrvl="discrete">
  <labl>Average minimum temperature 21 months before survey start date</labl>
  <imputation>Average minimum temperature 21 months before survey start date</imputation>
  <security>Average minimum temperature 21 months before survey start date</security>
  <embargo>Average minimum temperature 21 months before survey start date</embargo>
  <respUnit>Average minimum temperature 21 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_20" name="H_TEMPMIN_20" files="H" intrvl="discrete">
  <labl>Average minimum temperature 20 months before survey start date</labl>
  <imputation>Average minimum temperature 20 months before survey start date</imputation>
  <security>Average minimum temperature 20 months before survey start date</security>
  <embargo>Average minimum temperature 20 months before survey start date</embargo>
  <respUnit>Average minimum temperature 20 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_19" name="H_TEMPMIN_19" files="H" intrvl="discrete">
  <labl>Average minimum temperature 19 months before survey start date</labl>
  <imputation>Average minimum temperature 19 months before survey start date</imputation>
  <security>Average minimum temperature 19 months before survey start date</security>
  <embargo>Average minimum temperature 19 months before survey start date</embargo>
  <respUnit>Average minimum temperature 19 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_18" name="H_TEMPMIN_18" files="H" intrvl="discrete">
  <labl>Average minimum temperature 18 months before survey start date</labl>
  <imputation>Average minimum temperature 18 months before survey start date</imputation>
  <security>Average minimum temperature 18 months before survey start date</security>
  <embargo>Average minimum temperature 18 months before survey start date</embargo>
  <respUnit>Average minimum temperature 18 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_17" name="H_TEMPMIN_17" files="H" intrvl="discrete">
  <labl>Average minimum temperature 17 months before survey start date</labl>
  <imputation>Average minimum temperature 17 months before survey start date</imputation>
  <security>Average minimum temperature 17 months before survey start date</security>
  <embargo>Average minimum temperature 17 months before survey start date</embargo>
  <respUnit>Average minimum temperature 17 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_16" name="H_TEMPMIN_16" files="H" intrvl="discrete">
  <labl>Average minimum temperature 16 months before survey start date</labl>
  <imputation>Average minimum temperature 16 months before survey start date</imputation>
  <security>Average minimum temperature 16 months before survey start date</security>
  <embargo>Average minimum temperature 16 months before survey start date</embargo>
  <respUnit>Average minimum temperature 16 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_15" name="H_TEMPMIN_15" files="H" intrvl="discrete">
  <labl>Average minimum temperature 15 months before survey start date</labl>
  <imputation>Average minimum temperature 15 months before survey start date</imputation>
  <security>Average minimum temperature 15 months before survey start date</security>
  <embargo>Average minimum temperature 15 months before survey start date</embargo>
  <respUnit>Average minimum temperature 15 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_14" name="H_TEMPMIN_14" files="H" intrvl="discrete">
  <labl>Average minimum temperature 14 months before survey start date</labl>
  <imputation>Average minimum temperature 14 months before survey start date</imputation>
  <security>Average minimum temperature 14 months before survey start date</security>
  <embargo>Average minimum temperature 14 months before survey start date</embargo>
  <respUnit>Average minimum temperature 14 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_13" name="H_TEMPMIN_13" files="H" intrvl="discrete">
  <labl>Average minimum temperature 13 months before survey start date</labl>
  <imputation>Average minimum temperature 13 months before survey start date</imputation>
  <security>Average minimum temperature 13 months before survey start date</security>
  <embargo>Average minimum temperature 13 months before survey start date</embargo>
  <respUnit>Average minimum temperature 13 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_12" name="H_TEMPMIN_12" files="H" intrvl="discrete">
  <labl>Average minimum temperature 12 months before survey start date</labl>
  <imputation>Average minimum temperature 12 months before survey start date</imputation>
  <security>Average minimum temperature 12 months before survey start date</security>
  <embargo>Average minimum temperature 12 months before survey start date</embargo>
  <respUnit>Average minimum temperature 12 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_11" name="H_TEMPMIN_11" files="H" intrvl="discrete">
  <labl>Average minimum temperature 11 months before survey start date</labl>
  <imputation>Average minimum temperature 11 months before survey start date</imputation>
  <security>Average minimum temperature 11 months before survey start date</security>
  <embargo>Average minimum temperature 11 months before survey start date</embargo>
  <respUnit>Average minimum temperature 11 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_10" name="H_TEMPMIN_10" files="H" intrvl="discrete">
  <labl>Average minimum temperature 10 months before survey start date</labl>
  <imputation>Average minimum temperature 10 months before survey start date</imputation>
  <security>Average minimum temperature 10 months before survey start date</security>
  <embargo>Average minimum temperature 10 months before survey start date</embargo>
  <respUnit>Average minimum temperature 10 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_09" name="H_TEMPMIN_09" files="H" intrvl="discrete">
  <labl>Average minimum temperature 9 months before survey start date</labl>
  <imputation>Average minimum temperature 9 months before survey start date</imputation>
  <security>Average minimum temperature 9 months before survey start date</security>
  <embargo>Average minimum temperature 9 months before survey start date</embargo>
  <respUnit>Average minimum temperature 9 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_08" name="H_TEMPMIN_08" files="H" intrvl="discrete">
  <labl>Average minimum temperature 8 months before survey start date</labl>
  <imputation>Average minimum temperature 8 months before survey start date</imputation>
  <security>Average minimum temperature 8 months before survey start date</security>
  <embargo>Average minimum temperature 8 months before survey start date</embargo>
  <respUnit>Average minimum temperature 8 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_07" name="H_TEMPMIN_07" files="H" intrvl="discrete">
  <labl>Average minimum temperature 7 months before survey start date</labl>
  <imputation>Average minimum temperature 7 months before survey start date</imputation>
  <security>Average minimum temperature 7 months before survey start date</security>
  <embargo>Average minimum temperature 7 months before survey start date</embargo>
  <respUnit>Average minimum temperature 7 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_06" name="H_TEMPMIN_06" files="H" intrvl="discrete">
  <labl>Average minimum temperature 6 months before survey start date</labl>
  <imputation>Average minimum temperature 6 months before survey start date</imputation>
  <security>Average minimum temperature 6 months before survey start date</security>
  <embargo>Average minimum temperature 6 months before survey start date</embargo>
  <respUnit>Average minimum temperature 6 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_05" name="H_TEMPMIN_05" files="H" intrvl="discrete">
  <labl>Average minimum temperature 5 months before survey start date</labl>
  <imputation>Average minimum temperature 5 months before survey start date</imputation>
  <security>Average minimum temperature 5 months before survey start date</security>
  <embargo>Average minimum temperature 5 months before survey start date</embargo>
  <respUnit>Average minimum temperature 5 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_04" name="H_TEMPMIN_04" files="H" intrvl="discrete">
  <labl>Average minimum temperature 4 months before survey start date</labl>
  <imputation>Average minimum temperature 4 months before survey start date</imputation>
  <security>Average minimum temperature 4 months before survey start date</security>
  <embargo>Average minimum temperature 4 months before survey start date</embargo>
  <respUnit>Average minimum temperature 4 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_03" name="H_TEMPMIN_03" files="H" intrvl="discrete">
  <labl>Average minimum temperature 3 months before survey start date</labl>
  <imputation>Average minimum temperature 3 months before survey start date</imputation>
  <security>Average minimum temperature 3 months before survey start date</security>
  <embargo>Average minimum temperature 3 months before survey start date</embargo>
  <respUnit>Average minimum temperature 3 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_02" name="H_TEMPMIN_02" files="H" intrvl="discrete">
  <labl>Average minimum temperature 2 months before survey start date</labl>
  <imputation>Average minimum temperature 2 months before survey start date</imputation>
  <security>Average minimum temperature 2 months before survey start date</security>
  <embargo>Average minimum temperature 2 months before survey start date</embargo>
  <respUnit>Average minimum temperature 2 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_01" name="H_TEMPMIN_01" files="H" intrvl="discrete">
  <labl>Average minimum temperature 1 month before survey start date</labl>
  <imputation>Average minimum temperature 1 month before survey start date</imputation>
  <security>Average minimum temperature 1 month before survey start date</security>
  <embargo>Average minimum temperature 1 month before survey start date</embargo>
  <respUnit>Average minimum temperature 1 month before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_00" name="H_TEMPMIN_00" files="H" intrvl="discrete">
  <labl>Average minimum temperature month of survey start date</labl>
  <imputation>Average minimum temperature month of survey start date</imputation>
  <security>Average minimum temperature month of survey start date</security>
  <embargo>Average minimum temperature month of survey start date</embargo>
  <respUnit>Average minimum temperature month of survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_A01" name="H_TEMPMIN_A01" files="H" intrvl="discrete">
  <labl>Average minimum temperature 1 month after survey start date</labl>
  <imputation>Average minimum temperature 1 month after survey start date</imputation>
  <security>Average minimum temperature 1 month after survey start date</security>
  <embargo>Average minimum temperature 1 month after survey start date</embargo>
  <respUnit>Average minimum temperature 1 month after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_A02" name="H_TEMPMIN_A02" files="H" intrvl="discrete">
  <labl>Average minimum temperature 2 months after survey start date</labl>
  <imputation>Average minimum temperature 2 months after survey start date</imputation>
  <security>Average minimum temperature 2 months after survey start date</security>
  <embargo>Average minimum temperature 2 months after survey start date</embargo>
  <respUnit>Average minimum temperature 2 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_A03" name="H_TEMPMIN_A03" files="H" intrvl="discrete">
  <labl>Average minimum temperature 3 months after survey start date</labl>
  <imputation>Average minimum temperature 3 months after survey start date</imputation>
  <security>Average minimum temperature 3 months after survey start date</security>
  <embargo>Average minimum temperature 3 months after survey start date</embargo>
  <respUnit>Average minimum temperature 3 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_A04" name="H_TEMPMIN_A04" files="H" intrvl="discrete">
  <labl>Average minimum temperature 4 months after survey start date</labl>
  <imputation>Average minimum temperature 4 months after survey start date</imputation>
  <security>Average minimum temperature 4 months after survey start date</security>
  <embargo>Average minimum temperature 4 months after survey start date</embargo>
  <respUnit>Average minimum temperature 4 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_A05" name="H_TEMPMIN_A05" files="H" intrvl="discrete">
  <labl>Average minimum temperature 5 months after survey start date</labl>
  <imputation>Average minimum temperature 5 months after survey start date</imputation>
  <security>Average minimum temperature 5 months after survey start date</security>
  <embargo>Average minimum temperature 5 months after survey start date</embargo>
  <respUnit>Average minimum temperature 5 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_A06" name="H_TEMPMIN_A06" files="H" intrvl="discrete">
  <labl>Average minimum temperature 6 months after survey start date</labl>
  <imputation>Average minimum temperature 6 months after survey start date</imputation>
  <security>Average minimum temperature 6 months after survey start date</security>
  <embargo>Average minimum temperature 6 months after survey start date</embargo>
  <respUnit>Average minimum temperature 6 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_A07" name="H_TEMPMIN_A07" files="H" intrvl="discrete">
  <labl>Average minimum temperature 7 months after survey start date</labl>
  <imputation>Average minimum temperature 7 months after survey start date</imputation>
  <security>Average minimum temperature 7 months after survey start date</security>
  <embargo>Average minimum temperature 7 months after survey start date</embargo>
  <respUnit>Average minimum temperature 7 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_A08" name="H_TEMPMIN_A08" files="H" intrvl="discrete">
  <labl>Average minimum temperature 8 months after survey start date</labl>
  <imputation>Average minimum temperature 8 months after survey start date</imputation>
  <security>Average minimum temperature 8 months after survey start date</security>
  <embargo>Average minimum temperature 8 months after survey start date</embargo>
  <respUnit>Average minimum temperature 8 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_A09" name="H_TEMPMIN_A09" files="H" intrvl="discrete">
  <labl>Average minimum temperature 9 months after survey start date</labl>
  <imputation>Average minimum temperature 9 months after survey start date</imputation>
  <security>Average minimum temperature 9 months after survey start date</security>
  <embargo>Average minimum temperature 9 months after survey start date</embargo>
  <respUnit>Average minimum temperature 9 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_A10" name="H_TEMPMIN_A10" files="H" intrvl="discrete">
  <labl>Average minimum temperature 10 months after survey start date</labl>
  <imputation>Average minimum temperature 10 months after survey start date</imputation>
  <security>Average minimum temperature 10 months after survey start date</security>
  <embargo>Average minimum temperature 10 months after survey start date</embargo>
  <respUnit>Average minimum temperature 10 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMIN_A11" name="H_TEMPMIN_A11" files="H" intrvl="discrete">
  <labl>Average minimum temperature 11 months after survey start date</labl>
  <imputation>Average minimum temperature 11 months after survey start date</imputation>
  <security>Average minimum temperature 11 months after survey start date</security>
  <embargo>Average minimum temperature 11 months after survey start date</embargo>
  <respUnit>Average minimum temperature 11 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX" name="H_TEMPMAX" files="H" intrvl="discrete">
  <labl>Average maximum monthly temperature</labl>
  <imputation>Average maximum monthly temperature</imputation>
  <security>Average maximum monthly temperature</security>
  <embargo>Average maximum monthly temperature</embargo>
  <respUnit>Average maximum monthly temperature</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>TEMPMAX available</labl>
  </catgry>
  <txt>TEMPMAX consists of a set of 72 separate variables reporting maximum monthly temperatures. These variables report the average maximum temperature in kelvin scale, within a 10-kilometer circular buffer around each DHS cluster location, for the 60 individual months prior to the survey start date, the month of the survey start date, and the 11 individual months following the survey start date. Note that "average" maximum temperature here refers to averaging the maximum temperature values for the various subareas included in the buffer zone. 
 
By adding TEMPMAX to your data cart, you are in effect adding 72 separate variables for:

the 60 individual months prior to the survey start date, denoted by the number of months prior to the survey start date (e.g., TEMPMAX_01 is the average maximum temperature in the month before the survey start date; TEMPMAX _60 is the average maximum temperature in the 60th month before the survey start date)
the month of the survey start date (TEMPMAX _00)
the 11 individual months following the month of the survey start date, denoted by the number of months following the month of the survey start date (e.g., TEMPMAX_A01 is the average maximum temperature in the month following the month of the survey start date).
 

The full set of monthly temperature data, from January 1980 through December 2016, is available on the IPUMS-DHS contextual variables downloads [URL omitted from DDI.] page. Users can merge the temperature data, available in csv format, with their IPUMS-DHS data extract to create average or total precipitation variables (e.g., average maximum July temperature), for the time frame suited to their research question.

For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_60" name="H_TEMPMAX_60" files="H" intrvl="discrete">
  <labl>Average maximum temperature 60 months before survey start date</labl>
  <imputation>Average maximum temperature 60 months before survey start date</imputation>
  <security>Average maximum temperature 60 months before survey start date</security>
  <embargo>Average maximum temperature 60 months before survey start date</embargo>
  <respUnit>Average maximum temperature 60 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_59" name="H_TEMPMAX_59" files="H" intrvl="discrete">
  <labl>Average maximum temperature 59 months before survey start date</labl>
  <imputation>Average maximum temperature 59 months before survey start date</imputation>
  <security>Average maximum temperature 59 months before survey start date</security>
  <embargo>Average maximum temperature 59 months before survey start date</embargo>
  <respUnit>Average maximum temperature 59 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_58" name="H_TEMPMAX_58" files="H" intrvl="discrete">
  <labl>Average maximum temperature 58 months before survey start date</labl>
  <imputation>Average maximum temperature 58 months before survey start date</imputation>
  <security>Average maximum temperature 58 months before survey start date</security>
  <embargo>Average maximum temperature 58 months before survey start date</embargo>
  <respUnit>Average maximum temperature 58 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_57" name="H_TEMPMAX_57" files="H" intrvl="discrete">
  <labl>Average maximum temperature 57 months before survey start date</labl>
  <imputation>Average maximum temperature 57 months before survey start date</imputation>
  <security>Average maximum temperature 57 months before survey start date</security>
  <embargo>Average maximum temperature 57 months before survey start date</embargo>
  <respUnit>Average maximum temperature 57 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_56" name="H_TEMPMAX_56" files="H" intrvl="discrete">
  <labl>Average maximum temperature 56 months before survey start date</labl>
  <imputation>Average maximum temperature 56 months before survey start date</imputation>
  <security>Average maximum temperature 56 months before survey start date</security>
  <embargo>Average maximum temperature 56 months before survey start date</embargo>
  <respUnit>Average maximum temperature 56 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_55" name="H_TEMPMAX_55" files="H" intrvl="discrete">
  <labl>Average maximum temperature 55 months before survey start date</labl>
  <imputation>Average maximum temperature 55 months before survey start date</imputation>
  <security>Average maximum temperature 55 months before survey start date</security>
  <embargo>Average maximum temperature 55 months before survey start date</embargo>
  <respUnit>Average maximum temperature 55 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_54" name="H_TEMPMAX_54" files="H" intrvl="discrete">
  <labl>Average maximum temperature 54 months before survey start date</labl>
  <imputation>Average maximum temperature 54 months before survey start date</imputation>
  <security>Average maximum temperature 54 months before survey start date</security>
  <embargo>Average maximum temperature 54 months before survey start date</embargo>
  <respUnit>Average maximum temperature 54 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_53" name="H_TEMPMAX_53" files="H" intrvl="discrete">
  <labl>Average maximum temperature 53 months before survey start date</labl>
  <imputation>Average maximum temperature 53 months before survey start date</imputation>
  <security>Average maximum temperature 53 months before survey start date</security>
  <embargo>Average maximum temperature 53 months before survey start date</embargo>
  <respUnit>Average maximum temperature 53 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_52" name="H_TEMPMAX_52" files="H" intrvl="discrete">
  <labl>Average maximum temperature 52 months before survey start date</labl>
  <imputation>Average maximum temperature 52 months before survey start date</imputation>
  <security>Average maximum temperature 52 months before survey start date</security>
  <embargo>Average maximum temperature 52 months before survey start date</embargo>
  <respUnit>Average maximum temperature 52 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_51" name="H_TEMPMAX_51" files="H" intrvl="discrete">
  <labl>Average maximum temperature 51 months before survey start date</labl>
  <imputation>Average maximum temperature 51 months before survey start date</imputation>
  <security>Average maximum temperature 51 months before survey start date</security>
  <embargo>Average maximum temperature 51 months before survey start date</embargo>
  <respUnit>Average maximum temperature 51 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_50" name="H_TEMPMAX_50" files="H" intrvl="discrete">
  <labl>Average maximum temperature 50 months before survey start date</labl>
  <imputation>Average maximum temperature 50 months before survey start date</imputation>
  <security>Average maximum temperature 50 months before survey start date</security>
  <embargo>Average maximum temperature 50 months before survey start date</embargo>
  <respUnit>Average maximum temperature 50 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_49" name="H_TEMPMAX_49" files="H" intrvl="discrete">
  <labl>Average maximum temperature 49 months before survey start date</labl>
  <imputation>Average maximum temperature 49 months before survey start date</imputation>
  <security>Average maximum temperature 49 months before survey start date</security>
  <embargo>Average maximum temperature 49 months before survey start date</embargo>
  <respUnit>Average maximum temperature 49 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_48" name="H_TEMPMAX_48" files="H" intrvl="discrete">
  <labl>Average maximum temperature 48 months before survey start date</labl>
  <imputation>Average maximum temperature 48 months before survey start date</imputation>
  <security>Average maximum temperature 48 months before survey start date</security>
  <embargo>Average maximum temperature 48 months before survey start date</embargo>
  <respUnit>Average maximum temperature 48 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_47" name="H_TEMPMAX_47" files="H" intrvl="discrete">
  <labl>Average maximum temperature 47 months before survey start date</labl>
  <imputation>Average maximum temperature 47 months before survey start date</imputation>
  <security>Average maximum temperature 47 months before survey start date</security>
  <embargo>Average maximum temperature 47 months before survey start date</embargo>
  <respUnit>Average maximum temperature 47 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_46" name="H_TEMPMAX_46" files="H" intrvl="discrete">
  <labl>Average maximum temperature 46 months before survey start date</labl>
  <imputation>Average maximum temperature 46 months before survey start date</imputation>
  <security>Average maximum temperature 46 months before survey start date</security>
  <embargo>Average maximum temperature 46 months before survey start date</embargo>
  <respUnit>Average maximum temperature 46 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_45" name="H_TEMPMAX_45" files="H" intrvl="discrete">
  <labl>Average maximum temperature 45 months before survey start date</labl>
  <imputation>Average maximum temperature 45 months before survey start date</imputation>
  <security>Average maximum temperature 45 months before survey start date</security>
  <embargo>Average maximum temperature 45 months before survey start date</embargo>
  <respUnit>Average maximum temperature 45 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_44" name="H_TEMPMAX_44" files="H" intrvl="discrete">
  <labl>Average maximum temperature 44 months before survey start date</labl>
  <imputation>Average maximum temperature 44 months before survey start date</imputation>
  <security>Average maximum temperature 44 months before survey start date</security>
  <embargo>Average maximum temperature 44 months before survey start date</embargo>
  <respUnit>Average maximum temperature 44 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_43" name="H_TEMPMAX_43" files="H" intrvl="discrete">
  <labl>Average maximum temperature 43 months before survey start date</labl>
  <imputation>Average maximum temperature 43 months before survey start date</imputation>
  <security>Average maximum temperature 43 months before survey start date</security>
  <embargo>Average maximum temperature 43 months before survey start date</embargo>
  <respUnit>Average maximum temperature 43 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_42" name="H_TEMPMAX_42" files="H" intrvl="discrete">
  <labl>Average maximum temperature 42 months before survey start date</labl>
  <imputation>Average maximum temperature 42 months before survey start date</imputation>
  <security>Average maximum temperature 42 months before survey start date</security>
  <embargo>Average maximum temperature 42 months before survey start date</embargo>
  <respUnit>Average maximum temperature 42 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_41" name="H_TEMPMAX_41" files="H" intrvl="discrete">
  <labl>Average maximum temperature 41 months before survey start date</labl>
  <imputation>Average maximum temperature 41 months before survey start date</imputation>
  <security>Average maximum temperature 41 months before survey start date</security>
  <embargo>Average maximum temperature 41 months before survey start date</embargo>
  <respUnit>Average maximum temperature 41 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_40" name="H_TEMPMAX_40" files="H" intrvl="discrete">
  <labl>Average maximum temperature 40 months before survey start date</labl>
  <imputation>Average maximum temperature 40 months before survey start date</imputation>
  <security>Average maximum temperature 40 months before survey start date</security>
  <embargo>Average maximum temperature 40 months before survey start date</embargo>
  <respUnit>Average maximum temperature 40 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_39" name="H_TEMPMAX_39" files="H" intrvl="discrete">
  <labl>Average maximum temperature 39 months before survey start date</labl>
  <imputation>Average maximum temperature 39 months before survey start date</imputation>
  <security>Average maximum temperature 39 months before survey start date</security>
  <embargo>Average maximum temperature 39 months before survey start date</embargo>
  <respUnit>Average maximum temperature 39 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_38" name="H_TEMPMAX_38" files="H" intrvl="discrete">
  <labl>Average maximum temperature 38 months before survey start date</labl>
  <imputation>Average maximum temperature 38 months before survey start date</imputation>
  <security>Average maximum temperature 38 months before survey start date</security>
  <embargo>Average maximum temperature 38 months before survey start date</embargo>
  <respUnit>Average maximum temperature 38 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_37" name="H_TEMPMAX_37" files="H" intrvl="discrete">
  <labl>Average maximum temperature 37 months before survey start date</labl>
  <imputation>Average maximum temperature 37 months before survey start date</imputation>
  <security>Average maximum temperature 37 months before survey start date</security>
  <embargo>Average maximum temperature 37 months before survey start date</embargo>
  <respUnit>Average maximum temperature 37 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_36" name="H_TEMPMAX_36" files="H" intrvl="discrete">
  <labl>Average maximum temperature 36 months before survey start date</labl>
  <imputation>Average maximum temperature 36 months before survey start date</imputation>
  <security>Average maximum temperature 36 months before survey start date</security>
  <embargo>Average maximum temperature 36 months before survey start date</embargo>
  <respUnit>Average maximum temperature 36 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_35" name="H_TEMPMAX_35" files="H" intrvl="discrete">
  <labl>Average maximum temperature 35 months before survey start date</labl>
  <imputation>Average maximum temperature 35 months before survey start date</imputation>
  <security>Average maximum temperature 35 months before survey start date</security>
  <embargo>Average maximum temperature 35 months before survey start date</embargo>
  <respUnit>Average maximum temperature 35 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_34" name="H_TEMPMAX_34" files="H" intrvl="discrete">
  <labl>Average maximum temperature 34 months before survey start date</labl>
  <imputation>Average maximum temperature 34 months before survey start date</imputation>
  <security>Average maximum temperature 34 months before survey start date</security>
  <embargo>Average maximum temperature 34 months before survey start date</embargo>
  <respUnit>Average maximum temperature 34 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_33" name="H_TEMPMAX_33" files="H" intrvl="discrete">
  <labl>Average maximum temperature 33 months before survey start date</labl>
  <imputation>Average maximum temperature 33 months before survey start date</imputation>
  <security>Average maximum temperature 33 months before survey start date</security>
  <embargo>Average maximum temperature 33 months before survey start date</embargo>
  <respUnit>Average maximum temperature 33 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_32" name="H_TEMPMAX_32" files="H" intrvl="discrete">
  <labl>Average maximum temperature 32 months before survey start date</labl>
  <imputation>Average maximum temperature 32 months before survey start date</imputation>
  <security>Average maximum temperature 32 months before survey start date</security>
  <embargo>Average maximum temperature 32 months before survey start date</embargo>
  <respUnit>Average maximum temperature 32 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_31" name="H_TEMPMAX_31" files="H" intrvl="discrete">
  <labl>Average maximum temperature 31 months before survey start date</labl>
  <imputation>Average maximum temperature 31 months before survey start date</imputation>
  <security>Average maximum temperature 31 months before survey start date</security>
  <embargo>Average maximum temperature 31 months before survey start date</embargo>
  <respUnit>Average maximum temperature 31 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_30" name="H_TEMPMAX_30" files="H" intrvl="discrete">
  <labl>Average maximum temperature 30 months before survey start date</labl>
  <imputation>Average maximum temperature 30 months before survey start date</imputation>
  <security>Average maximum temperature 30 months before survey start date</security>
  <embargo>Average maximum temperature 30 months before survey start date</embargo>
  <respUnit>Average maximum temperature 30 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_29" name="H_TEMPMAX_29" files="H" intrvl="discrete">
  <labl>Average maximum temperature 29 months before survey start date</labl>
  <imputation>Average maximum temperature 29 months before survey start date</imputation>
  <security>Average maximum temperature 29 months before survey start date</security>
  <embargo>Average maximum temperature 29 months before survey start date</embargo>
  <respUnit>Average maximum temperature 29 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_28" name="H_TEMPMAX_28" files="H" intrvl="discrete">
  <labl>Average maximum temperature 28 months before survey start date</labl>
  <imputation>Average maximum temperature 28 months before survey start date</imputation>
  <security>Average maximum temperature 28 months before survey start date</security>
  <embargo>Average maximum temperature 28 months before survey start date</embargo>
  <respUnit>Average maximum temperature 28 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_27" name="H_TEMPMAX_27" files="H" intrvl="discrete">
  <labl>Average maximum temperature 27 months before survey start date</labl>
  <imputation>Average maximum temperature 27 months before survey start date</imputation>
  <security>Average maximum temperature 27 months before survey start date</security>
  <embargo>Average maximum temperature 27 months before survey start date</embargo>
  <respUnit>Average maximum temperature 27 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_26" name="H_TEMPMAX_26" files="H" intrvl="discrete">
  <labl>Average maximum temperature 26 months before survey start date</labl>
  <imputation>Average maximum temperature 26 months before survey start date</imputation>
  <security>Average maximum temperature 26 months before survey start date</security>
  <embargo>Average maximum temperature 26 months before survey start date</embargo>
  <respUnit>Average maximum temperature 26 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_25" name="H_TEMPMAX_25" files="H" intrvl="discrete">
  <labl>Average maximum temperature 25 months before survey start date</labl>
  <imputation>Average maximum temperature 25 months before survey start date</imputation>
  <security>Average maximum temperature 25 months before survey start date</security>
  <embargo>Average maximum temperature 25 months before survey start date</embargo>
  <respUnit>Average maximum temperature 25 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_24" name="H_TEMPMAX_24" files="H" intrvl="discrete">
  <labl>Average maximum temperature 24 months before survey start date</labl>
  <imputation>Average maximum temperature 24 months before survey start date</imputation>
  <security>Average maximum temperature 24 months before survey start date</security>
  <embargo>Average maximum temperature 24 months before survey start date</embargo>
  <respUnit>Average maximum temperature 24 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_23" name="H_TEMPMAX_23" files="H" intrvl="discrete">
  <labl>Average maximum temperature 23 months before survey start date</labl>
  <imputation>Average maximum temperature 23 months before survey start date</imputation>
  <security>Average maximum temperature 23 months before survey start date</security>
  <embargo>Average maximum temperature 23 months before survey start date</embargo>
  <respUnit>Average maximum temperature 23 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_22" name="H_TEMPMAX_22" files="H" intrvl="discrete">
  <labl>Average maximum temperature 22 months before survey start date</labl>
  <imputation>Average maximum temperature 22 months before survey start date</imputation>
  <security>Average maximum temperature 22 months before survey start date</security>
  <embargo>Average maximum temperature 22 months before survey start date</embargo>
  <respUnit>Average maximum temperature 22 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_21" name="H_TEMPMAX_21" files="H" intrvl="discrete">
  <labl>Average maximum temperature 21 months before survey start date</labl>
  <imputation>Average maximum temperature 21 months before survey start date</imputation>
  <security>Average maximum temperature 21 months before survey start date</security>
  <embargo>Average maximum temperature 21 months before survey start date</embargo>
  <respUnit>Average maximum temperature 21 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_20" name="H_TEMPMAX_20" files="H" intrvl="discrete">
  <labl>Average maximum temperature 20 months before survey start date</labl>
  <imputation>Average maximum temperature 20 months before survey start date</imputation>
  <security>Average maximum temperature 20 months before survey start date</security>
  <embargo>Average maximum temperature 20 months before survey start date</embargo>
  <respUnit>Average maximum temperature 20 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_19" name="H_TEMPMAX_19" files="H" intrvl="discrete">
  <labl>Average maximum temperature 19 months before survey start date</labl>
  <imputation>Average maximum temperature 19 months before survey start date</imputation>
  <security>Average maximum temperature 19 months before survey start date</security>
  <embargo>Average maximum temperature 19 months before survey start date</embargo>
  <respUnit>Average maximum temperature 19 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_18" name="H_TEMPMAX_18" files="H" intrvl="discrete">
  <labl>Average maximum temperature 18 months before survey start date</labl>
  <imputation>Average maximum temperature 18 months before survey start date</imputation>
  <security>Average maximum temperature 18 months before survey start date</security>
  <embargo>Average maximum temperature 18 months before survey start date</embargo>
  <respUnit>Average maximum temperature 18 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_17" name="H_TEMPMAX_17" files="H" intrvl="discrete">
  <labl>Average maximum temperature 17 months before survey start date</labl>
  <imputation>Average maximum temperature 17 months before survey start date</imputation>
  <security>Average maximum temperature 17 months before survey start date</security>
  <embargo>Average maximum temperature 17 months before survey start date</embargo>
  <respUnit>Average maximum temperature 17 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_16" name="H_TEMPMAX_16" files="H" intrvl="discrete">
  <labl>Average maximum temperature 16 months before survey start date</labl>
  <imputation>Average maximum temperature 16 months before survey start date</imputation>
  <security>Average maximum temperature 16 months before survey start date</security>
  <embargo>Average maximum temperature 16 months before survey start date</embargo>
  <respUnit>Average maximum temperature 16 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_15" name="H_TEMPMAX_15" files="H" intrvl="discrete">
  <labl>Average maximum temperature 15 months before survey start date</labl>
  <imputation>Average maximum temperature 15 months before survey start date</imputation>
  <security>Average maximum temperature 15 months before survey start date</security>
  <embargo>Average maximum temperature 15 months before survey start date</embargo>
  <respUnit>Average maximum temperature 15 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_14" name="H_TEMPMAX_14" files="H" intrvl="discrete">
  <labl>Average maximum temperature 14 months before survey start date</labl>
  <imputation>Average maximum temperature 14 months before survey start date</imputation>
  <security>Average maximum temperature 14 months before survey start date</security>
  <embargo>Average maximum temperature 14 months before survey start date</embargo>
  <respUnit>Average maximum temperature 14 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_13" name="H_TEMPMAX_13" files="H" intrvl="discrete">
  <labl>Average maximum temperature 13 months before survey start date</labl>
  <imputation>Average maximum temperature 13 months before survey start date</imputation>
  <security>Average maximum temperature 13 months before survey start date</security>
  <embargo>Average maximum temperature 13 months before survey start date</embargo>
  <respUnit>Average maximum temperature 13 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_12" name="H_TEMPMAX_12" files="H" intrvl="discrete">
  <labl>Average maximum temperature 12 months before survey start date</labl>
  <imputation>Average maximum temperature 12 months before survey start date</imputation>
  <security>Average maximum temperature 12 months before survey start date</security>
  <embargo>Average maximum temperature 12 months before survey start date</embargo>
  <respUnit>Average maximum temperature 12 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_11" name="H_TEMPMAX_11" files="H" intrvl="discrete">
  <labl>Average maximum temperature 11 months before survey start date</labl>
  <imputation>Average maximum temperature 11 months before survey start date</imputation>
  <security>Average maximum temperature 11 months before survey start date</security>
  <embargo>Average maximum temperature 11 months before survey start date</embargo>
  <respUnit>Average maximum temperature 11 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_10" name="H_TEMPMAX_10" files="H" intrvl="discrete">
  <labl>Average maximum temperature 10 months before survey start date</labl>
  <imputation>Average maximum temperature 10 months before survey start date</imputation>
  <security>Average maximum temperature 10 months before survey start date</security>
  <embargo>Average maximum temperature 10 months before survey start date</embargo>
  <respUnit>Average maximum temperature 10 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_09" name="H_TEMPMAX_09" files="H" intrvl="discrete">
  <labl>Average maximum temperature 9 months before survey start date</labl>
  <imputation>Average maximum temperature 9 months before survey start date</imputation>
  <security>Average maximum temperature 9 months before survey start date</security>
  <embargo>Average maximum temperature 9 months before survey start date</embargo>
  <respUnit>Average maximum temperature 9 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_08" name="H_TEMPMAX_08" files="H" intrvl="discrete">
  <labl>Average maximum temperature 8 months before survey start date</labl>
  <imputation>Average maximum temperature 8 months before survey start date</imputation>
  <security>Average maximum temperature 8 months before survey start date</security>
  <embargo>Average maximum temperature 8 months before survey start date</embargo>
  <respUnit>Average maximum temperature 8 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_07" name="H_TEMPMAX_07" files="H" intrvl="discrete">
  <labl>Average maximum temperature 7 months before survey start date</labl>
  <imputation>Average maximum temperature 7 months before survey start date</imputation>
  <security>Average maximum temperature 7 months before survey start date</security>
  <embargo>Average maximum temperature 7 months before survey start date</embargo>
  <respUnit>Average maximum temperature 7 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_06" name="H_TEMPMAX_06" files="H" intrvl="discrete">
  <labl>Average maximum temperature 6 months before survey start date</labl>
  <imputation>Average maximum temperature 6 months before survey start date</imputation>
  <security>Average maximum temperature 6 months before survey start date</security>
  <embargo>Average maximum temperature 6 months before survey start date</embargo>
  <respUnit>Average maximum temperature 6 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_05" name="H_TEMPMAX_05" files="H" intrvl="discrete">
  <labl>Average maximum temperature 5 months before survey start date</labl>
  <imputation>Average maximum temperature 5 months before survey start date</imputation>
  <security>Average maximum temperature 5 months before survey start date</security>
  <embargo>Average maximum temperature 5 months before survey start date</embargo>
  <respUnit>Average maximum temperature 5 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_04" name="H_TEMPMAX_04" files="H" intrvl="discrete">
  <labl>Average maximum temperature 4 months before survey start date</labl>
  <imputation>Average maximum temperature 4 months before survey start date</imputation>
  <security>Average maximum temperature 4 months before survey start date</security>
  <embargo>Average maximum temperature 4 months before survey start date</embargo>
  <respUnit>Average maximum temperature 4 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_03" name="H_TEMPMAX_03" files="H" intrvl="discrete">
  <labl>Average maximum temperature 3 months before survey start date</labl>
  <imputation>Average maximum temperature 3 months before survey start date</imputation>
  <security>Average maximum temperature 3 months before survey start date</security>
  <embargo>Average maximum temperature 3 months before survey start date</embargo>
  <respUnit>Average maximum temperature 3 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_02" name="H_TEMPMAX_02" files="H" intrvl="discrete">
  <labl>Average maximum temperature 2 months before survey start date</labl>
  <imputation>Average maximum temperature 2 months before survey start date</imputation>
  <security>Average maximum temperature 2 months before survey start date</security>
  <embargo>Average maximum temperature 2 months before survey start date</embargo>
  <respUnit>Average maximum temperature 2 months before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_01" name="H_TEMPMAX_01" files="H" intrvl="discrete">
  <labl>Average maximum temperature 1 month before survey start date</labl>
  <imputation>Average maximum temperature 1 month before survey start date</imputation>
  <security>Average maximum temperature 1 month before survey start date</security>
  <embargo>Average maximum temperature 1 month before survey start date</embargo>
  <respUnit>Average maximum temperature 1 month before survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_00" name="H_TEMPMAX_00" files="H" intrvl="discrete">
  <labl>Average maximum temperature month of survey start date</labl>
  <imputation>Average maximum temperature month of survey start date</imputation>
  <security>Average maximum temperature month of survey start date</security>
  <embargo>Average maximum temperature month of survey start date</embargo>
  <respUnit>Average maximum temperature month of survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_A01" name="H_TEMPMAX_A01" files="H" intrvl="discrete">
  <labl>Average maximum temperature 1 month after survey start date</labl>
  <imputation>Average maximum temperature 1 month after survey start date</imputation>
  <security>Average maximum temperature 1 month after survey start date</security>
  <embargo>Average maximum temperature 1 month after survey start date</embargo>
  <respUnit>Average maximum temperature 1 month after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_A02" name="H_TEMPMAX_A02" files="H" intrvl="discrete">
  <labl>Average maximum temperature 2 months after survey start date</labl>
  <imputation>Average maximum temperature 2 months after survey start date</imputation>
  <security>Average maximum temperature 2 months after survey start date</security>
  <embargo>Average maximum temperature 2 months after survey start date</embargo>
  <respUnit>Average maximum temperature 2 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_A03" name="H_TEMPMAX_A03" files="H" intrvl="discrete">
  <labl>Average maximum temperature 3 months after survey start date</labl>
  <imputation>Average maximum temperature 3 months after survey start date</imputation>
  <security>Average maximum temperature 3 months after survey start date</security>
  <embargo>Average maximum temperature 3 months after survey start date</embargo>
  <respUnit>Average maximum temperature 3 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_A04" name="H_TEMPMAX_A04" files="H" intrvl="discrete">
  <labl>Average maximum temperature 4 months after survey start date</labl>
  <imputation>Average maximum temperature 4 months after survey start date</imputation>
  <security>Average maximum temperature 4 months after survey start date</security>
  <embargo>Average maximum temperature 4 months after survey start date</embargo>
  <respUnit>Average maximum temperature 4 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_A05" name="H_TEMPMAX_A05" files="H" intrvl="discrete">
  <labl>Average maximum temperature 5 months after survey start date</labl>
  <imputation>Average maximum temperature 5 months after survey start date</imputation>
  <security>Average maximum temperature 5 months after survey start date</security>
  <embargo>Average maximum temperature 5 months after survey start date</embargo>
  <respUnit>Average maximum temperature 5 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_A06" name="H_TEMPMAX_A06" files="H" intrvl="discrete">
  <labl>Average maximum temperature 6 months after survey start date</labl>
  <imputation>Average maximum temperature 6 months after survey start date</imputation>
  <security>Average maximum temperature 6 months after survey start date</security>
  <embargo>Average maximum temperature 6 months after survey start date</embargo>
  <respUnit>Average maximum temperature 6 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_A07" name="H_TEMPMAX_A07" files="H" intrvl="discrete">
  <labl>Average maximum temperature 7 months after survey start date</labl>
  <imputation>Average maximum temperature 7 months after survey start date</imputation>
  <security>Average maximum temperature 7 months after survey start date</security>
  <embargo>Average maximum temperature 7 months after survey start date</embargo>
  <respUnit>Average maximum temperature 7 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_A08" name="H_TEMPMAX_A08" files="H" intrvl="discrete">
  <labl>Average maximum temperature 8 months after survey start date</labl>
  <imputation>Average maximum temperature 8 months after survey start date</imputation>
  <security>Average maximum temperature 8 months after survey start date</security>
  <embargo>Average maximum temperature 8 months after survey start date</embargo>
  <respUnit>Average maximum temperature 8 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_A09" name="H_TEMPMAX_A09" files="H" intrvl="discrete">
  <labl>Average maximum temperature 9 months after survey start date</labl>
  <imputation>Average maximum temperature 9 months after survey start date</imputation>
  <security>Average maximum temperature 9 months after survey start date</security>
  <embargo>Average maximum temperature 9 months after survey start date</embargo>
  <respUnit>Average maximum temperature 9 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_A10" name="H_TEMPMAX_A10" files="H" intrvl="discrete">
  <labl>Average maximum temperature 10 months after survey start date</labl>
  <imputation>Average maximum temperature 10 months after survey start date</imputation>
  <security>Average maximum temperature 10 months after survey start date</security>
  <embargo>Average maximum temperature 10 months after survey start date</embargo>
  <respUnit>Average maximum temperature 10 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_TEMPMAX_A11" name="H_TEMPMAX_A11" files="H" intrvl="discrete">
  <labl>Average maximum temperature 11 months after survey start date</labl>
  <imputation>Average maximum temperature 11 months after survey start date</imputation>
  <security>Average maximum temperature 11 months after survey start date</security>
  <embargo>Average maximum temperature 11 months after survey start date</embargo>
  <respUnit>Average maximum temperature 11 months after survey start date</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <concept>
    <title>Environmental Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_POPDENSITY" name="H_POPDENSITY" files="H" intrvl="discrete">
  <labl>Population density quinquennial time-series (2000-2020)</labl>
  <imputation>Population density quinquennial time-series (2000-2020)</imputation>
  <security>Population density quinquennial time-series (2000-2020)</security>
  <embargo>Population density quinquennial time-series (2000-2020)</embargo>
  <respUnit>Population density quinquennial time-series (2000-2020)</respUnit>
  <catgry>
    <catValu>1</catValu>
    <labl>POPDENSITY available</labl>
  </catgry>
  <txt>POPDENSITY consists of a set of 5 separate variables. These variables report the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2000, 2005, 2010, 2015, and 2020. By adding POPDENSITY to your data cart, you are in effect adding 5 separate variables (POPDENSITY_2000 - POPDENSITY_2020), one variable for each month. Values for POPDENSITY are based onÂ population projections from the results of the 2000 and 2010 rounds of censuses.

POPDENSITY variables can be used as indicators of urban versus rural status, with the cut-off levels for these categories decided by the researcher, for greater consistency in measurement than the DHS URBAN variable. 

POPDENSITY, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_POPDENSITY_2000" name="H_POPDENSITY_2000" files="H" intrvl="discrete">
  <labl>Population density 2000</labl>
  <imputation>Population density 2000</imputation>
  <security>Population density 2000</security>
  <embargo>Population density 2000</embargo>
  <respUnit>Population density 2000</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POPDENSITY_2000 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2000. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2000 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2000 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2000  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_POPDENSITY_2005" name="H_POPDENSITY_2005" files="H" intrvl="discrete">
  <labl>Population density 2005</labl>
  <imputation>Population density 2005</imputation>
  <security>Population density 2005</security>
  <embargo>Population density 2005</embargo>
  <respUnit>Population density 2005</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POPDENSITY_2005 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2005. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2005 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2005 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2005  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_POPDENSITY_2010" name="H_POPDENSITY_2010" files="H" intrvl="discrete">
  <labl>Population density 2010</labl>
  <imputation>Population density 2010</imputation>
  <security>Population density 2010</security>
  <embargo>Population density 2010</embargo>
  <respUnit>Population density 2010</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POPDENSITY_2010 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2010. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2010 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2010 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2010  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_POPDENSITY_2015" name="H_POPDENSITY_2015" files="H" intrvl="discrete">
  <labl>Population density 2015</labl>
  <imputation>Population density 2015</imputation>
  <security>Population density 2015</security>
  <embargo>Population density 2015</embargo>
  <respUnit>Population density 2015</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POPDENSITY_2015 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2015. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2015 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2015 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. 
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2015  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_POPDENSITY_2020" name="H_POPDENSITY_2020" files="H" intrvl="discrete">
  <labl>Population density 2020</labl>
  <imputation>Population density 2020</imputation>
  <security>Population density 2020</security>
  <embargo>Population density 2020</embargo>
  <respUnit>Population density 2020</respUnit>
  <catgry>
    <catValu>-000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POPDENSITY_2020 reports the population density - people per square kilometer of land area - within a 5 kilometer circular buffer around each DHS cluster location, in 2020. The population density statistics are available for the following years: 2000, 2005, 2010, 2015, and 2020. POPDENSITY_2020 is available for every IPUMS-DHS sample with GPS data. POPDENSITY_2020 can be used as an indicator of urban versus rural status, with the cut-off levels for these categories decided by the researcher, and greater consistency in measurement than the DHS URBAN variable. Values for POPDENSITY_2020 are based on population projections from the results of the 2010 round of censuses, which occurred between 2005 and 2014.
 
Please see the User Note on Using IPUMS-DHS Contextual Variables: POPDENSITY_2020  [URL omitted from DDI.] for more information about this variable, including data sources and methodology. This variable, like the other IPUMS-DHS contextual variables, is based on sources outside The DHS Program, with values around DHS sample cluster points calculated by IPUMS-DHS staff.</txt>
  <concept>
    <title>Social Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_BARLEY_H" name="H_BARLEY_H" files="H" intrvl="discrete">
  <labl>Harvested area barley (in 2000)</labl>
  <imputation>Harvested area barley (in 2000)</imputation>
  <security>Harvested area barley (in 2000)</security>
  <embargo>Harvested area barley (in 2000)</embargo>
  <respUnit>Harvested area barley (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>BARLEY_H reports total harvested area dedicated to barley, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in BARLEY_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable BARLEY_P reports total crop production of barley, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

BARLEY_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_CASSAVA_H" name="H_CASSAVA_H" files="H" intrvl="discrete">
  <labl>Harvested area cassava (in 2000)</labl>
  <imputation>Harvested area cassava (in 2000)</imputation>
  <security>Harvested area cassava (in 2000)</security>
  <embargo>Harvested area cassava (in 2000)</embargo>
  <respUnit>Harvested area cassava (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>CASSAVA_H reports total harvested area dedicated to cassava, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in CASSAVA_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable CASSAVA_P reports total crop production of cassava, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

CASSAVA_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_COTTON_H" name="H_COTTON_H" files="H" intrvl="discrete">
  <labl>Harvested area cotton (in 2000)</labl>
  <imputation>Harvested area cotton (in 2000)</imputation>
  <security>Harvested area cotton (in 2000)</security>
  <embargo>Harvested area cotton (in 2000)</embargo>
  <respUnit>Harvested area cotton (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>COTTON_H reports total harvested area dedicated to cotton, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in COTTON_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable COTTON_P reports total crop production of cotton, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

COTTON_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_GROUNDNUT_H" name="H_GROUNDNUT_H" files="H" intrvl="discrete">
  <labl>Harvested area groundnuts (in 2000)</labl>
  <imputation>Harvested area groundnuts (in 2000)</imputation>
  <security>Harvested area groundnuts (in 2000)</security>
  <embargo>Harvested area groundnuts (in 2000)</embargo>
  <respUnit>Harvested area groundnuts (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>GROUNDNUT_H reports total harvested area dedicated to groundnuts, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in GROUNDNUT_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable GROUNDNUT_P reports total crop production of groundnuts, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

GROUNDNUT_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_MAIZE_H" name="H_MAIZE_H" files="H" intrvl="discrete">
  <labl>Harvested area maize (in 2000)</labl>
  <imputation>Harvested area maize (in 2000)</imputation>
  <security>Harvested area maize (in 2000)</security>
  <embargo>Harvested area maize (in 2000)</embargo>
  <respUnit>Harvested area maize (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>MAIZE_H reports total harvested area dedicated to maize, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in MAIZE_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable MAIZE_P reports total crop production of maize, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

MAIZE_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_MILLET_H" name="H_MILLET_H" files="H" intrvl="discrete">
  <labl>Harvested area millet (in 2000)</labl>
  <imputation>Harvested area millet (in 2000)</imputation>
  <security>Harvested area millet (in 2000)</security>
  <embargo>Harvested area millet (in 2000)</embargo>
  <respUnit>Harvested area millet (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>MILLET_H reports total harvested area dedicated to millet, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in MILLET_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable MILLET_P reports total crop production of millet, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

MILLET_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_OILPALM_H" name="H_OILPALM_H" files="H" intrvl="discrete">
  <labl>Harvested area oilpalm (in 2000)</labl>
  <imputation>Harvested area oilpalm (in 2000)</imputation>
  <security>Harvested area oilpalm (in 2000)</security>
  <embargo>Harvested area oilpalm (in 2000)</embargo>
  <respUnit>Harvested area oilpalm (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>OILPALM_H reports total harvested area dedicated to oil palm, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in OILPALM_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable OILPALM_P reports total crop production of oil palm, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

OILPALM_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_POTATO_H" name="H_POTATO_H" files="H" intrvl="discrete">
  <labl>Harvested area potatoes (in 2000)</labl>
  <imputation>Harvested area potatoes (in 2000)</imputation>
  <security>Harvested area potatoes (in 2000)</security>
  <embargo>Harvested area potatoes (in 2000)</embargo>
  <respUnit>Harvested area potatoes (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POTATO_H reports total harvested area dedicated to potatoes, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in POTATO_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable POTATO_P reports total crop production of potatoes, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

POTATO_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_RAPESEED_H" name="H_RAPESEED_H" files="H" intrvl="discrete">
  <labl>Harvested area rapeseed (in 2000)</labl>
  <imputation>Harvested area rapeseed (in 2000)</imputation>
  <security>Harvested area rapeseed (in 2000)</security>
  <embargo>Harvested area rapeseed (in 2000)</embargo>
  <respUnit>Harvested area rapeseed (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RAPESEED_H reports total harvested area dedicated to rapeseed, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in RAPESEED_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable RAPESEED_P reports total crop production of rapeseed, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RAPESEED_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_RICE_H" name="H_RICE_H" files="H" intrvl="discrete">
  <labl>Harvested area rice (in 2000)</labl>
  <imputation>Harvested area rice (in 2000)</imputation>
  <security>Harvested area rice (in 2000)</security>
  <embargo>Harvested area rice (in 2000)</embargo>
  <respUnit>Harvested area rice (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RICE_H reports total harvested area dedicated to rice, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in RICE_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable RICE_P reports total crop production of rice, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RICE_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_SORGHUM_H" name="H_SORGHUM_H" files="H" intrvl="discrete">
  <labl>Harvested area sorghum (in 2000)</labl>
  <imputation>Harvested area sorghum (in 2000)</imputation>
  <security>Harvested area sorghum (in 2000)</security>
  <embargo>Harvested area sorghum (in 2000)</embargo>
  <respUnit>Harvested area sorghum (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SORGHUM_H reports total harvested area dedicated to sorghum, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in SORGHUM_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable SORGHUM_P reports total crop production of sorghum, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SORGHUM_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_SOYBEAN_H" name="H_SOYBEAN_H" files="H" intrvl="discrete">
  <labl>Harvested area soybeans (in 2000)</labl>
  <imputation>Harvested area soybeans (in 2000)</imputation>
  <security>Harvested area soybeans (in 2000)</security>
  <embargo>Harvested area soybeans (in 2000)</embargo>
  <respUnit>Harvested area soybeans (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SOYBEAN_H reports total harvested area dedicated to soybeans, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in SOYBEAN_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable SOYBEAN_P reports total crop production of soybean, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SOYBEAN_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_SUGARBEET_H" name="H_SUGARBEET_H" files="H" intrvl="discrete">
  <labl>Harvested area sugarbeets (in 2000)</labl>
  <imputation>Harvested area sugarbeets (in 2000)</imputation>
  <security>Harvested area sugarbeets (in 2000)</security>
  <embargo>Harvested area sugarbeets (in 2000)</embargo>
  <respUnit>Harvested area sugarbeets (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUGARBEET_H reports total harvested area dedicated to sugar beets, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUGARBEET_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable SUGARBEET_P reports total crop production of sugar beets, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUGARBEET_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_SUGARCANE_H" name="H_SUGARCANE_H" files="H" intrvl="discrete">
  <labl>Harvested area sugarcane (in 2000)</labl>
  <imputation>Harvested area sugarcane (in 2000)</imputation>
  <security>Harvested area sugarcane (in 2000)</security>
  <embargo>Harvested area sugarcane (in 2000)</embargo>
  <respUnit>Harvested area sugarcane (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUGARCANE_H reports total harvested area dedicated to sugar cane, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUGARCANE_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable SUGARCANE_P reports total crop production of sugar cane, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUGARCANE_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_SUNFLOWER_H" name="H_SUNFLOWER_H" files="H" intrvl="discrete">
  <labl>Harvested area sunflowers (in 2000)</labl>
  <imputation>Harvested area sunflowers (in 2000)</imputation>
  <security>Harvested area sunflowers (in 2000)</security>
  <embargo>Harvested area sunflowers (in 2000)</embargo>
  <respUnit>Harvested area sunflowers (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUNFLOWER_H reports total harvested area dedicated to sunflowers, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in SUNFLOWER_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable SUNFLOWER_P reports total crop production of sunflowers, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUNFLOWER_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_WHEAT_H" name="H_WHEAT_H" files="H" intrvl="discrete">
  <labl>Harvested area wheat (in 2000)</labl>
  <imputation>Harvested area wheat (in 2000)</imputation>
  <security>Harvested area wheat (in 2000)</security>
  <embargo>Harvested area wheat (in 2000)</embargo>
  <respUnit>Harvested area wheat (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>WHEAT_H reports total harvested area dedicated to wheat, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in WHEAT_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable WHEAT_P reports total crop production of wheat, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

WHEAT_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_RYE_H" name="H_RYE_H" files="H" intrvl="discrete">
  <labl>Harvested area rye (in 2000)</labl>
  <imputation>Harvested area rye (in 2000)</imputation>
  <security>Harvested area rye (in 2000)</security>
  <embargo>Harvested area rye (in 2000)</embargo>
  <respUnit>Harvested area rye (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RYE_H reports total harvested area dedicated to rye, expressed in hectares, within a 10-kilometer buffer around each DHS cluster location. The harvested area statistics reported in RYE_H are based on agricultural censuses and remotely sensed imagery circa 2000. 

The related variable RYE_P reports total crop production of rye, expressed in metric tons and measured in the year 2000, within a 10-kilometer circular buffer around each DHS cluster location.

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RYE_H, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_BARLEY_P" name="H_BARLEY_P" files="H" intrvl="discrete">
  <labl>Total barley production (in 2000)</labl>
  <imputation>Total barley production (in 2000)</imputation>
  <security>Total barley production (in 2000)</security>
  <embargo>Total barley production (in 2000)</embargo>
  <respUnit>Total barley production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>BARLEY_P reports the total crop production of barley, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in BARLEY_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable BARLEY_H reports the total harvested area dedicated to barley, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

BARLEY_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_CASSAVA_P" name="H_CASSAVA_P" files="H" intrvl="discrete">
  <labl>Total cassava production (in 2000)</labl>
  <imputation>Total cassava production (in 2000)</imputation>
  <security>Total cassava production (in 2000)</security>
  <embargo>Total cassava production (in 2000)</embargo>
  <respUnit>Total cassava production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>CASSAVA_P reports the total crop production of cassava, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in CASSAVA_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable CASSAVA_H reports the total harvested area dedicated to cassava, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

CASSAVA_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_COTTON_P" name="H_COTTON_P" files="H" intrvl="discrete">
  <labl>Total cotton production (in 2000)</labl>
  <imputation>Total cotton production (in 2000)</imputation>
  <security>Total cotton production (in 2000)</security>
  <embargo>Total cotton production (in 2000)</embargo>
  <respUnit>Total cotton production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>COTTON_P reports the total crop production of cotton, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in COTTON_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable COTTON_H reports the total harvested area dedicated to cotton, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

COTTON_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_GROUNDNUT_P" name="H_GROUNDNUT_P" files="H" intrvl="discrete">
  <labl>Total groundnut production (in 2000)</labl>
  <imputation>Total groundnut production (in 2000)</imputation>
  <security>Total groundnut production (in 2000)</security>
  <embargo>Total groundnut production (in 2000)</embargo>
  <respUnit>Total groundnut production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>GROUNDNUT_P reports the total crop production of groundnuts, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in GROUNDNUT_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable GROUNDNUT_H reports the total harvested area dedicated to groundnuts, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

GROUNDNUT_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_MAIZE_P" name="H_MAIZE_P" files="H" intrvl="discrete">
  <labl>Total maize production (in 2000)</labl>
  <imputation>Total maize production (in 2000)</imputation>
  <security>Total maize production (in 2000)</security>
  <embargo>Total maize production (in 2000)</embargo>
  <respUnit>Total maize production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>MAIZE_P reports the total crop production of maize, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in MAIZE_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable MAIZE_H reports the total harvested area dedicated to maize, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

MAIZE_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_MILLET_P" name="H_MILLET_P" files="H" intrvl="discrete">
  <labl>Total millet production (in 2000)</labl>
  <imputation>Total millet production (in 2000)</imputation>
  <security>Total millet production (in 2000)</security>
  <embargo>Total millet production (in 2000)</embargo>
  <respUnit>Total millet production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>MILLET_P reports the total crop production of millet, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in MILLET_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable MILLET_H reports the total harvested area dedicated to millet, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

MILLET_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_OILPALM_P" name="H_OILPALM_P" files="H" intrvl="discrete">
  <labl>Total oilpalm production (in 2000)</labl>
  <imputation>Total oilpalm production (in 2000)</imputation>
  <security>Total oilpalm production (in 2000)</security>
  <embargo>Total oilpalm production (in 2000)</embargo>
  <respUnit>Total oilpalm production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>OILPALM_P reports the total crop production of oil palm, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in OILPALM_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable OILPALM_H reports the total harvested area dedicated to oil palm, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

OILPALM_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_POTATO_P" name="H_POTATO_P" files="H" intrvl="discrete">
  <labl>Total potato production (in 2000)</labl>
  <imputation>Total potato production (in 2000)</imputation>
  <security>Total potato production (in 2000)</security>
  <embargo>Total potato production (in 2000)</embargo>
  <respUnit>Total potato production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>POTATO_P reports the total crop production of potatoes, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in POTATO_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable POTATO_H reports the total harvested area dedicated to potatoes, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

POTATO_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_RAPESEED_P" name="H_RAPESEED_P" files="H" intrvl="discrete">
  <labl>Total rapeseed production (in 2000)</labl>
  <imputation>Total rapeseed production (in 2000)</imputation>
  <security>Total rapeseed production (in 2000)</security>
  <embargo>Total rapeseed production (in 2000)</embargo>
  <respUnit>Total rapeseed production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RAPESEED_P reports the total crop production of rapeseed, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RAPESEED_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable RAPESEED_H reports the total harvested area dedicated to rapeseed, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RAPESEED_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_RICE_P" name="H_RICE_P" files="H" intrvl="discrete">
  <labl>Total rice production (in 2000)</labl>
  <imputation>Total rice production (in 2000)</imputation>
  <security>Total rice production (in 2000)</security>
  <embargo>Total rice production (in 2000)</embargo>
  <respUnit>Total rice production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RICE_P reports the total crop production of rice, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RICE_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable RICE_H reports the total harvested area dedicated to rice, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RICE_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_SORGHUM_P" name="H_SORGHUM_P" files="H" intrvl="discrete">
  <labl>Total sorghum production (in 2000)</labl>
  <imputation>Total sorghum production (in 2000)</imputation>
  <security>Total sorghum production (in 2000)</security>
  <embargo>Total sorghum production (in 2000)</embargo>
  <respUnit>Total sorghum production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SORGHUM_P reports the total crop production of sorghum, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SORGHUM_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable SORGHUM_H reports the total harvested area dedicated to sorghum, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SORGHUM_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_SOYBEAN_P" name="H_SOYBEAN_P" files="H" intrvl="discrete">
  <labl>Total soybean production (in 2000)</labl>
  <imputation>Total soybean production (in 2000)</imputation>
  <security>Total soybean production (in 2000)</security>
  <embargo>Total soybean production (in 2000)</embargo>
  <respUnit>Total soybean production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SOYBEAN_P reports the total crop production of soybeans, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SOYBEAN_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable SOYBEAN_H reports the total harvested area dedicated to soybeans, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SOYBEAN_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_SUGARBEET_P" name="H_SUGARBEET_P" files="H" intrvl="discrete">
  <labl>Total sugarbeet production (in 2000)</labl>
  <imputation>Total sugarbeet production (in 2000)</imputation>
  <security>Total sugarbeet production (in 2000)</security>
  <embargo>Total sugarbeet production (in 2000)</embargo>
  <respUnit>Total sugarbeet production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUGARBEET_P reports the total crop production of sugar beets, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUGARBEET_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable SUGARBEET_H reports the total harvested area dedicated to sugar beets, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUGARBEET_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_SUGARCANE_P" name="H_SUGARCANE_P" files="H" intrvl="discrete">
  <labl>Total sugarcane production (in 2000)</labl>
  <imputation>Total sugarcane production (in 2000)</imputation>
  <security>Total sugarcane production (in 2000)</security>
  <embargo>Total sugarcane production (in 2000)</embargo>
  <respUnit>Total sugarcane production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUGARCANE_P reports the total crop production of sugar cane, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUGARCANE_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable SUGARCANE_H reports the total harvested area dedicated to sugar cane, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUGARCANE_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_SUNFLOWER_P" name="H_SUNFLOWER_P" files="H" intrvl="discrete">
  <labl>Total sunflower production (in 2000)</labl>
  <imputation>Total sunflower production (in 2000)</imputation>
  <security>Total sunflower production (in 2000)</security>
  <embargo>Total sunflower production (in 2000)</embargo>
  <respUnit>Total sunflower production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>SUNFLOWER_P reports the total crop production of sunflowers, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in SUNFLOWER_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable SUNFLOWER_H reports the total harvested area dedicated to sunflowers, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

SUNFLOWER_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_WHEAT_P" name="H_WHEAT_P" files="H" intrvl="discrete">
  <labl>Total wheat production (in 2000)</labl>
  <imputation>Total wheat production (in 2000)</imputation>
  <security>Total wheat production (in 2000)</security>
  <embargo>Total wheat production (in 2000)</embargo>
  <respUnit>Total wheat production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>WHEAT_P reports the total crop production of wheat, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in WHEAT_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable WHEAT_H reports the total harvested area dedicated to wheat, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

WHEAT_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
<var ID="H_RYE_P" name="H_RYE_P" files="H" intrvl="discrete">
  <labl>Total rye production (in 2000)</labl>
  <imputation>Total rye production (in 2000)</imputation>
  <security>Total rye production (in 2000)</security>
  <embargo>Total rye production (in 2000)</embargo>
  <respUnit>Total rye production (in 2000)</respUnit>
  <catgry>
    <catValu>-00000998</catValu>
    <labl>Missing</labl>
  </catgry>
  <txt>RYE_P reports the total crop production of rye, expressed in metric tons, within a 10-kilometer circular buffer around each DHS cluster location. The crop production statistics reported in RYE_P are based on agricultural censuses and remotely sensed imagery circa 2000.

The related variable RYE_H reports the total harvested area dedicated to rye, expressed in hectares, within a 10-kilmeter buffer around each DHS cluster location, as measured in the year 2000. 

For some samples, some or all clusters have values of 0 only for the harvested area devoted to a particular crop. A value of  zero indicates that the crop is not grown in this place, or is grown in too miniscule amounts to track, due to custom or unsuitable climatic conditions. For example, almost no area in Canada is devoted to growing pineapples.

RYE_P, like the other IPUMS-DHS contextual variables, is calculated and based on sources external to the DHS data. For more information on IPUMS-DHS contextual variables and how they are constructed, refer to the documentation  [URL omitted from DDI.] on these variables.</txt>
  <concept>
    <title>Agricultural Variables -- TOPICS</title>
    <vocab>IPUMS</vocab>
  </concept>
  <varFormat type="numeric"/>
</var>
</dataDscr></codeBook>
